Operation run times estimation results - EIP-7904
Table of contents
- MULMOD
- ADDMOD
- SMOD
- MOD
- SMOD
- DIV
- SDIV
- POINT_EVALUATION
- BLS12_G1ADD
- BLS12_G2ADD
- ECADD
- ECRECOVER
- KECCAK256
- BLAKE2F
- ECPAIRING
Introduction
This is an automated report generated from the opcode run times
estimation script ./src/estimate_7904_repricings.py. The script
uses data generated by running the
EEST benchmark suite
with the Nethermind benchmarking tooling.
The data includes all the tests for operations repriced in EIP-7904 run between 2026-01-15 and 2026-01-29.
For each operation and client, an NNLS linear regression model is fitted to estimate the operation run time as a function of the operation count and other operation-specific parameters (e.g., number of rounds for BLAKE2F, message size for KECCAK256, number of pairs for ECPAIRING). The results are presented below.
How to Interpret the Results
Model Used
Non-Negative Least Squares (NNLS) Linear Regression is used to estimate operation runtimes. This model ensures all coefficients are non-negative, which is physically meaningful since execution time cannot be negative. The model estimates runtime as a linear combination of:
- Constant term (intercept): Base overhead for executing the test, which includes setup and teardown time
- Operation count (slope): Number of times the operation is executed in the test. This paramater is the one that allows us to estimate the per-operation runtime.
- Operation-specific parameters: Variables like number of rounds, message size, or number of pairs
For simple operations, the model estimates: runtime = intercept + slope × operation_count
For variable operations, the model estimates: runtime = intercept + slope × operation_count + param1_coef × operation_count × param1 + param2_coef × operation_count × param2 + ...
Model Quality Metrics
Each model reports two key metrics to assess the quality of the fit:
R² (R-squared / Coefficient of Determination)
- Ranges from 0 to 1 (or can be negative for very poor fits)
- Measures how well the model explains the variance in the data
- Interpretation:
- R² > 0.9: Excellent fit - the model explains >90% of the variance
- R² > 0.7: Good fit - the model captures most of the relationship
- R² > 0.5: Acceptable fit - the model has predictive power but notable variance remains
- R² < 0.5: Poor fit - the model may not be reliable
p-value
- Tests the statistical significance of each coefficient, based on a bootstrap sample estimation
- Interpretation:
- p < 0.05: Statistically significant - the parameter has a real effect on runtime
- p ≥ 0.05: Not significant - the parameter's effect cannot be distinguished from random noise
We also plot some diagnostic graphs for each operation and client combination to visually assess the model fit.
MULMOD
reth
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.989
Model: NNLS Adj. R-squared: 0.989
No. Observations: 320 RMSE: 36.73
Df Residuals: 318 MAE: 24.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.4231 2.9149 0.000 25.5657 37.3067
opcount 0.0000 0.0000 0.000 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
nethermind
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.986
Model: NNLS Adj. R-squared: 0.986
No. Observations: 430 RMSE: 66.34
Df Residuals: 428 MAE: 42.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 28.6369 4.5129 0.000 20.2732 37.8599
opcount 0.0001 0.0000 0.000 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
geth
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.990
Model: NNLS Adj. R-squared: 0.990
No. Observations: 430 RMSE: 59.81
Df Residuals: 428 MAE: 38.26
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.0378 3.9965 0.000 23.1553 38.7857
opcount 0.0001 0.0000 0.000 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
besu
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.980
Model: NNLS Adj. R-squared: 0.980
No. Observations: 430 RMSE: 217.33
Df Residuals: 428 MAE: 156.62
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 40.8901 15.5092 0.005 13.5016 72.9058
opcount 0.0002 0.0000 0.000 0.0002 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
erigon
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 1.000
Model: NNLS Adj. R-squared: 1.000
No. Observations: 30 RMSE: 11.20
Df Residuals: 28 MAE: 7.82
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 27.7081 3.5287 0.000 20.3352 34.1970
opcount 0.0001 0.0000 0.000 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ADDMOD
reth
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.991
Model: NNLS Adj. R-squared: 0.991
No. Observations: 320 RMSE: 26.74
Df Residuals: 318 MAE: 17.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.2943 2.0437 0.000 28.3926 36.4658
opcount 0.0000 0.0000 0.000 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
nethermind
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.986
Model: NNLS Adj. R-squared: 0.986
No. Observations: 430 RMSE: 40.36
Df Residuals: 428 MAE: 22.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 26.2244 3.2736 0.000 19.5882 32.3655
opcount 0.0000 0.0000 0.000 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
geth
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.989
Model: NNLS Adj. R-squared: 0.989
No. Observations: 430 RMSE: 57.35
Df Residuals: 428 MAE: 36.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.5766 3.9405 0.000 25.0283 40.1535
opcount 0.0001 0.0000 0.000 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
besu
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.980
Model: NNLS Adj. R-squared: 0.979
No. Observations: 430 RMSE: 181.34
Df Residuals: 428 MAE: 130.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 35.6849 13.0733 0.006 8.6600 60.3857
opcount 0.0001 0.0000 0.000 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
erigon
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 1.000
Model: NNLS Adj. R-squared: 0.999
No. Observations: 30 RMSE: 13.39
Df Residuals: 28 MAE: 11.06
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.4920 3.4449 0.000 22.3475 35.8904
opcount 0.0001 0.0000 0.000 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SMOD
reth
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.986
Model: NNLS Adj. R-squared: 0.986
No. Observations: 320 RMSE: 13.38
Df Residuals: 318 MAE: 9.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.8194 1.2095 0.000 29.4033 34.1328
opcount 0.0000 0.0000 0.000 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
nethermind
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.985
Model: NNLS Adj. R-squared: 0.985
No. Observations: 430 RMSE: 16.88
Df Residuals: 428 MAE: 11.30
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.3208 1.1754 0.000 28.1543 32.6954
opcount 0.0000 0.0000 0.000 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
geth
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.958
Model: NNLS Adj. R-squared: 0.958
No. Observations: 430 RMSE: 54.31
Df Residuals: 428 MAE: 26.24
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 33.3730 3.1894 0.000 27.0449 39.4705
opcount 0.0000 0.0000 0.000 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
besu
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.984
Model: NNLS Adj. R-squared: 0.984
No. Observations: 430 RMSE: 44.74
Df Residuals: 428 MAE: 31.00
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.3917 3.3060 0.000 23.9998 36.2517
opcount 0.0000 0.0000 0.000 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
erigon
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.993
Model: NNLS Adj. R-squared: 0.992
No. Observations: 30 RMSE: 24.50
Df Residuals: 28 MAE: 11.61
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 22.2938 6.5115 0.011 5.7869 31.2411
opcount 0.0000 0.0000 0.000 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MOD
reth
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.991
Model: NNLS Adj. R-squared: 0.991
No. Observations: 320 RMSE: 31.06
Df Residuals: 318 MAE: 20.79
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 34.6663 2.5633 0.000 29.9558 39.6959
opcount 0.0000 0.0000 0.000 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
nethermind
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.990
Model: NNLS Adj. R-squared: 0.990
No. Observations: 430 RMSE: 40.16
Df Residuals: 428 MAE: 24.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.1414 2.7993 0.000 24.6640 35.4751
opcount 0.0000 0.0000 0.000 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
geth
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.985
Model: NNLS Adj. R-squared: 0.985
No. Observations: 430 RMSE: 56.92
Df Residuals: 428 MAE: 33.00
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 33.6655 3.9946 0.000 26.0844 42.2995
opcount 0.0001 0.0000 0.000 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
besu
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.977
Model: NNLS Adj. R-squared: 0.977
No. Observations: 430 RMSE: 257.81
Df Residuals: 428 MAE: 180.30
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 42.7935 18.3770 0.013 4.6972 78.3645
opcount 0.0002 0.0000 0.000 0.0002 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
erigon
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.996
Model: NNLS Adj. R-squared: 0.996
No. Observations: 30 RMSE: 30.18
Df Residuals: 28 MAE: 21.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 39.0732 8.3577 0.000 22.2512 55.7676
opcount 0.0001 0.0000 0.000 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SMOD
reth
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.986
Model: NNLS Adj. R-squared: 0.986
No. Observations: 320 RMSE: 13.38
Df Residuals: 318 MAE: 9.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.8194 1.2095 0.000 29.4033 34.1328
opcount 0.0000 0.0000 0.000 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================nethermind
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.985
Model: NNLS Adj. R-squared: 0.985
No. Observations: 430 RMSE: 16.88
Df Residuals: 428 MAE: 11.30
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.3208 1.1754 0.000 28.1543 32.6954
opcount 0.0000 0.0000 0.000 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================geth
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.958
Model: NNLS Adj. R-squared: 0.958
No. Observations: 430 RMSE: 54.31
Df Residuals: 428 MAE: 26.24
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 33.3730 3.1894 0.000 27.0449 39.4705
opcount 0.0000 0.0000 0.000 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================besu
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.984
Model: NNLS Adj. R-squared: 0.984
No. Observations: 430 RMSE: 44.74
Df Residuals: 428 MAE: 31.00
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.3917 3.3060 0.000 23.9998 36.2517
opcount 0.0000 0.0000 0.000 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================erigon
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.993
Model: NNLS Adj. R-squared: 0.992
No. Observations: 30 RMSE: 24.50
Df Residuals: 28 MAE: 11.61
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 22.2938 6.5115 0.011 5.7869 31.2411
opcount 0.0000 0.0000 0.000 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DIV
reth
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.991
Model: NNLS Adj. R-squared: 0.991
No. Observations: 320 RMSE: 43.95
Df Residuals: 318 MAE: 27.80
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 33.6486 3.4720 0.000 26.8360 40.5650
opcount 0.0001 0.0000 0.000 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
nethermind
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.986
Model: NNLS Adj. R-squared: 0.986
No. Observations: 430 RMSE: 64.73
Df Residuals: 428 MAE: 39.87
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.8596 4.4705 0.000 22.2831 39.8098
opcount 0.0001 0.0000 0.000 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
geth
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.986
Model: NNLS Adj. R-squared: 0.986
No. Observations: 430 RMSE: 70.49
Df Residuals: 428 MAE: 44.11
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.4015 5.1975 0.000 21.3700 41.5393
opcount 0.0001 0.0000 0.000 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
besu
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.969
Model: NNLS Adj. R-squared: 0.969
No. Observations: 430 RMSE: 377.34
Df Residuals: 428 MAE: 276.74
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 41.3458 25.1943 0.060 0.0000 93.7752
opcount 0.0002 0.0000 0.000 0.0002 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
erigon
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 1.000
Model: NNLS Adj. R-squared: 1.000
No. Observations: 30 RMSE: 9.48
Df Residuals: 28 MAE: 7.18
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 33.7244 3.4691 0.000 26.9306 40.5072
opcount 0.0001 0.0000 0.000 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SDIV
reth
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.990
Model: NNLS Adj. R-squared: 0.990
No. Observations: 320 RMSE: 57.16
Df Residuals: 318 MAE: 37.61
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.4257 4.5085 0.000 23.0489 41.0961
opcount 0.0001 0.0000 0.000 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
nethermind
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.977
Model: NNLS Adj. R-squared: 0.977
No. Observations: 430 RMSE: 108.13
Df Residuals: 428 MAE: 70.48
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 28.3499 7.6774 0.000 11.8263 42.8811
opcount 0.0001 0.0000 0.000 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
geth
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.988
Model: NNLS Adj. R-squared: 0.988
No. Observations: 430 RMSE: 68.54
Df Residuals: 428 MAE: 42.44
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 28.0247 5.5172 0.000 17.2510 38.4472
opcount 0.0001 0.0000 0.000 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
besu
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.971
Model: NNLS Adj. R-squared: 0.971
No. Observations: 430 RMSE: 483.08
Df Residuals: 428 MAE: 335.85
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 26.4209 27.4641 0.233 0.0000 90.8952
opcount 0.0003 0.0000 0.000 0.0003 0.0003
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
erigon
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.999
Model: NNLS Adj. R-squared: 0.999
No. Observations: 30 RMSE: 17.05
Df Residuals: 28 MAE: 12.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.0771 5.4484 0.000 23.3307 44.2564
opcount 0.0001 0.0000 0.000 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
POINT_EVALUATION
reth
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.993
Model: NNLS Adj. R-squared: 0.993
No. Observations: 320 RMSE: 364.33
Df Residuals: 318 MAE: 250.88
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 33.9425 27.3986 0.126 0.0000 92.9463
opcount 1.4861 0.0074 0.000 1.4701 1.4985
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
nethermind
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.992
Model: NNLS Adj. R-squared: 0.992
No. Observations: 430 RMSE: 391.02
Df Residuals: 428 MAE: 255.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.1322 19.5270 0.327 0.0000 65.9079
opcount 1.4894 0.0059 0.000 1.4750 1.4982
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
geth
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.992
Model: NNLS Adj. R-squared: 0.992
No. Observations: 430 RMSE: 388.20
Df Residuals: 428 MAE: 243.56
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 40.4320 26.1932 0.060 0.0000 99.7871
opcount 1.4835 0.0071 0.000 1.4683 1.4962
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
besu
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.991
Model: NNLS Adj. R-squared: 0.991
No. Observations: 430 RMSE: 411.40
Df Residuals: 428 MAE: 305.87
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 28.5453 24.1757 0.177 0.0000 79.9144
opcount 1.4843 0.0066 0.000 1.4710 1.4964
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
erigon
NNLS model did not run... Error: No valid data remaining after dropping NaN values
BLS12_G1ADD
reth
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.990
Model: NNLS Adj. R-squared: 0.990
No. Observations: 320 RMSE: 73.12
Df Residuals: 318 MAE: 50.37
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.8474 6.6176 0.000 19.9333 45.6873
opcount 0.0051 0.0000 0.000 0.0051 0.0052
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
nethermind
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.986
Model: NNLS Adj. R-squared: 0.986
No. Observations: 430 RMSE: 100.40
Df Residuals: 428 MAE: 63.21
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.5899 8.7007 0.067 0.0000 31.3154
opcount 0.0059 0.0000 0.000 0.0058 0.0060
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
geth
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.992
Model: NNLS Adj. R-squared: 0.992
No. Observations: 430 RMSE: 66.89
Df Residuals: 428 MAE: 45.46
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 33.3366 4.9335 0.000 23.4914 42.7542
opcount 0.0051 0.0000 0.000 0.0051 0.0052
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
besu
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.943
Model: NNLS Adj. R-squared: 0.943
No. Observations: 430 RMSE: 376.50
Df Residuals: 428 MAE: 282.35
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 4.7707 17.4892 0.398 0.0000 58.1477
opcount 0.0107 0.0001 0.000 0.0104 0.0109
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
erigon
NNLS model did not run... Error: No valid data remaining after dropping NaN values
BLS12_G2ADD
reth
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.991
Model: NNLS Adj. R-squared: 0.991
No. Observations: 320 RMSE: 60.02
Df Residuals: 318 MAE: 41.12
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 34.2802 4.9762 0.000 24.8162 44.7806
opcount 0.0074 0.0000 0.000 0.0073 0.0075
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
nethermind
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.990
Model: NNLS Adj. R-squared: 0.990
No. Observations: 430 RMSE: 79.95
Df Residuals: 428 MAE: 52.21
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 2.1068 1.000 0.0000 7.6520
opcount 0.0092 0.0000 0.000 0.0091 0.0093
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
geth
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.992
Model: NNLS Adj. R-squared: 0.992
No. Observations: 430 RMSE: 52.54
Df Residuals: 428 MAE: 35.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.6103 3.8388 0.000 22.2773 37.6501
opcount 0.0070 0.0000 0.000 0.0069 0.0071
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
besu
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.958
Model: NNLS Adj. R-squared: 0.958
No. Observations: 430 RMSE: 229.33
Df Residuals: 428 MAE: 173.41
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1.9380 11.0376 0.482 0.0000 37.3520
opcount 0.0127 0.0001 0.000 0.0125 0.0129
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
erigon
NNLS model did not run... Error: No valid data remaining after dropping NaN values
ECADD
reth
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.991
Model: NNLS Adj. R-squared: 0.991
No. Observations: 320 RMSE: 104.34
Df Residuals: 318 MAE: 76.32
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.7112 8.6267 0.001 13.3779 46.9809
opcount 0.0038 0.0000 0.000 0.0037 0.0038
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
nethermind
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.986
Model: NNLS Adj. R-squared: 0.985
No. Observations: 430 RMSE: 84.76
Df Residuals: 428 MAE: 55.88
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.8697 5.7797 0.005 3.2806 26.1806
opcount 0.0024 0.0000 0.000 0.0024 0.0025
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
geth
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.989
Model: NNLS Adj. R-squared: 0.989
No. Observations: 430 RMSE: 86.48
Df Residuals: 428 MAE: 59.62
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 21.6074 6.2813 0.000 10.0396 34.1265
opcount 0.0029 0.0000 0.000 0.0029 0.0029
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
besu
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.982
Model: NNLS Adj. R-squared: 0.982
No. Observations: 430 RMSE: 204.25
Df Residuals: 428 MAE: 144.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 25.9624 13.9894 0.034 0.0000 53.1046
opcount 0.0052 0.0000 0.000 0.0052 0.0053
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
erigon
NNLS model did not run... Error: No valid data remaining after dropping NaN values
ECRECOVER
reth
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.990
Model: NNLS Adj. R-squared: 0.990
No. Observations: 320 RMSE: 106.43
Df Residuals: 318 MAE: 69.10
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 40.5342 9.2076 0.000 23.0866 59.6352
opcount 0.0469 0.0003 0.000 0.0463 0.0475
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
nethermind
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.991
Model: NNLS Adj. R-squared: 0.991
No. Observations: 430 RMSE: 98.35
Df Residuals: 428 MAE: 63.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.1650 6.9901 0.000 16.7049 44.6032
opcount 0.0446 0.0002 0.000 0.0441 0.0450
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
geth
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.993
Model: NNLS Adj. R-squared: 0.993
No. Observations: 430 RMSE: 94.49
Df Residuals: 428 MAE: 63.08
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 36.6028 6.4618 0.000 24.6673 49.6262
opcount 0.0480 0.0002 0.000 0.0477 0.0484
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
besu
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.985
Model: NNLS Adj. R-squared: 0.985
No. Observations: 430 RMSE: 135.74
Df Residuals: 428 MAE: 91.87
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.7974 9.8595 0.001 11.3764 49.1138
opcount 0.0484 0.0003 0.000 0.0478 0.0490
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
erigon
NNLS model did not run... Error: No valid data remaining after dropping NaN values
KECCAK256
reth
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.993
Model: NNLS Adj. R-squared: 0.993
No. Observations: 5120 RMSE: 59.67
Df Residuals: 5117 MAE: 39.23
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.8731 1.1967 0.000 28.6487 33.2196
opcount 0.0000 0.0000 0.000 0.0000 0.0000
msg_size 0.0000 0.0000 0.000 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
nethermind
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.985
Model: NNLS Adj. R-squared: 0.985
No. Observations: 6880 RMSE: 98.77
Df Residuals: 6877 MAE: 77.41
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 27.1124 1.7795 0.000 23.5517 30.5938
opcount 0.0000 0.0000 0.000 0.0000 0.0000
msg_size 0.0000 0.0000 0.000 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
geth
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.925
Model: NNLS Adj. R-squared: 0.925
No. Observations: 6880 RMSE: 239.33
Df Residuals: 6877 MAE: 168.50
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.8135 4.3612 0.044 0.0000 16.3268
opcount 0.0005 0.0000 0.000 0.0005 0.0005
msg_size 0.0000 0.0000 0.000 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
besu
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.955
Model: NNLS Adj. R-squared: 0.955
No. Observations: 6880 RMSE: 263.59
Df Residuals: 6877 MAE: 198.95
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 5.8207 4.2703 0.096 0.0000 14.6842
opcount 0.0007 0.0000 0.000 0.0007 0.0007
msg_size 0.0000 0.0000 0.000 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
erigon
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.947
Model: NNLS Adj. R-squared: 0.947
No. Observations: 480 RMSE: 189.92
Df Residuals: 477 MAE: 154.33
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.2532 10.4939 0.175 0.0000 35.1932
opcount 0.0004 0.0000 0.000 0.0004 0.0005
msg_size 0.0000 0.0000 0.000 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BLAKE2F
reth
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.952
Model: NNLS Adj. R-squared: 0.952
No. Observations: 1280 RMSE: 115.39
Df Residuals: 1277 MAE: 92.63
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.8301 4.6685 0.001 5.5662 24.3891
opcount 0.0006 0.0000 0.000 0.0006 0.0006
num_rounds 0.0000 0.0000 0.000 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
nethermind
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.977
Model: NNLS Adj. R-squared: 0.977
No. Observations: 1720 RMSE: 77.08
Df Residuals: 1717 MAE: 54.97
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.0000 1.000 0.0000 0.0000
opcount 0.0007 0.0000 0.000 0.0007 0.0007
num_rounds 0.0000 0.0000 0.000 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
geth
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.988
Model: NNLS Adj. R-squared: 0.988
No. Observations: 1720 RMSE: 56.02
Df Residuals: 1717 MAE: 41.08
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 17.6718 1.9910 0.000 13.6075 21.6085
opcount 0.0007 0.0000 0.000 0.0007 0.0007
num_rounds 0.0000 0.0000 0.000 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
besu
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.975
Model: NNLS Adj. R-squared: 0.975
No. Observations: 1720 RMSE: 277.67
Df Residuals: 1717 MAE: 196.53
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 62.5567 10.3996 0.000 42.2762 82.6965
opcount 0.0028 0.0000 0.000 0.0028 0.0028
num_rounds 0.0000 0.0000 0.000 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
erigon
NNLS model did not run... Error: No valid data remaining after dropping NaN values
ECPAIRING
reth
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.988
Model: NNLS Adj. R-squared: 0.988
No. Observations: 1432 RMSE: 93.51
Df Residuals: 1429 MAE: 50.85
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 34.1944 3.4072 0.000 27.9524 41.3956
opcount 0.5785 0.0055 0.000 0.5678 0.5895
num_pairs 0.4691 0.0016 0.000 0.4658 0.4721
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
nethermind
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.990
Model: NNLS Adj. R-squared: 0.990
No. Observations: 1982 RMSE: 96.86
Df Residuals: 1979 MAE: 56.12
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 33.2452 3.2925 0.000 26.9497 39.7779
opcount 0.3005 0.0043 0.000 0.2925 0.3093
num_pairs 0.5684 0.0016 0.000 0.5651 0.5714
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
geth
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.989
Model: NNLS Adj. R-squared: 0.989
No. Observations: 1982 RMSE: 41.44
Df Residuals: 1979 MAE: 21.09
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 35.2135 1.3674 0.000 32.7371 38.0138
opcount 0.3013 0.0022 0.000 0.2973 0.3058
num_pairs 0.2147 0.0006 0.000 0.2135 0.2159
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
besu
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: run_duration_ms R-squared: 0.986
Model: NNLS Adj. R-squared: 0.986
No. Observations: 1982 RMSE: 46.00
Df Residuals: 1979 MAE: 27.86
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.3547 1.5207 0.000 28.2816 34.4007
opcount 0.3031 0.0024 0.000 0.2986 0.3077
num_pairs 0.2107 0.0007 0.000 0.2093 0.2121
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
erigon
NNLS model did not run... Error: No valid data remaining after dropping NaN values