sklbench sklearn-dev builds comparison dashboard

Hardware

CPU

Intel(R) Xeon(R) 6787P

X86_64, 172 physical cores, 344 logical CPUs

499 GB RAM

GPU(s)

No GPU detected.

sklearn

Python 3.12.13

Packages

  • scikit-learn 1.9.0 (pypi)
  • numpy 2.4.6 (conda-forge)
  • scipy 1.17.1 (conda-forge)
  • pandas 2.3.3 (conda-forge)

Threadpools

  • libopenblas 0.3.33 (128 threads)
  • libgomp (344 threads)

OpenMP

  • GNU libgomp (OpenMP 4.5)
  • GOMP_SPINCOUNT: 300000

Full environment

view pixi env JSON

sklearn-conda

Python 3.12.13

Packages

  • scikit-learn 1.9.0 (conda-forge)
  • numpy 2.5.0 (conda-forge)
  • scipy 1.18.0 (conda-forge)
  • pandas 2.3.3 (conda-forge)

Threadpools

  • libopenblas 0.3.33 (128 threads)
  • libgomp (344 threads)

OpenMP

  • GNU libgomp (OpenMP 4.5)
  • GOMP_SPINCOUNT: 300000

Full environment

view pixi env JSON

sklearn-dev@cakedev0:hgb/adapt_to_active_wait

Python 3.12.13

Packages

  • scikit-learn @ 27d3e13ba
  • numpy 2.5.0 (conda-forge)
  • scipy 1.18.0 (conda-forge)
  • pandas 2.3.3 (conda-forge)

Threadpools

  • libopenblas 0.3.33 (128 threads)
  • libgomp (344 threads)

OpenMP

  • GNU libgomp (OpenMP 4.5)
  • GOMP_SPINCOUNT: 300000

Full environment

view pixi env JSON

sklearn-dev@cakedev0:hgb/both_threads_optim

Python 3.12.13

Packages

  • scikit-learn @ 44f1cbbde
  • numpy 2.5.0 (conda-forge)
  • scipy 1.18.0 (conda-forge)
  • pandas 2.3.3 (conda-forge)

Threadpools

  • libopenblas 0.3.33 (128 threads)
  • libgomp (344 threads)

OpenMP

  • GNU libgomp (OpenMP 4.5)
  • GOMP_SPINCOUNT: 300000

Full environment

view pixi env JSON

sklearn-dev@cakedev0:main

Python 3.12.13

Packages

  • scikit-learn @ 6aa2f57c2
  • numpy 2.5.0 (conda-forge)
  • scipy 1.18.0 (conda-forge)
  • pandas 2.3.3 (conda-forge)

Threadpools

  • libopenblas 0.3.33 (128 threads)
  • libgomp (344 threads)

OpenMP

  • GNU libgomp (OpenMP 4.5)
  • GOMP_SPINCOUNT: 300000

Full environment

view pixi env JSON

linear / fit (46 points)

● Metrics and benchmark setup match the baseline

linear / predict (46 points)

● Metrics and benchmark setup match the baseline
Detailed results

tree-based / fit (82 points)

● Metrics and benchmark setup match the baseline

tree-based / predict (82 points)

● Metrics and benchmark setup match the baseline
Detailed results

clustering / fit (2 points)

● Metrics and benchmark setup match the baseline
✕ Benchmark run failed, shown at the bottom of its column (7 points)

clustering / predict (2 points)

● Metrics and benchmark setup match the baseline
✕ Benchmark run failed, shown at the bottom of its column (7 points)
Detailed results

Hardware

CPU

Intel(R) Core(TM) Ultra X7 358H

X86_64, 16 physical cores, 16 logical CPUs

31 GB RAM

GPU(s)

  • level_zero:gpu:0: Intel(R) Arc(TM) B390 GPU (29 GB)

sklearn

Python 3.12.13

Packages

  • scikit-learn 1.9.0 (pypi)
  • numpy 2.4.6 (conda-forge)
  • scipy 1.17.1 (conda-forge)
  • pandas 2.3.3 (conda-forge)

Threadpools

  • libopenblas 0.3.33 (16 threads)
  • libgomp (16 threads)

OpenMP

  • GNU libgomp (OpenMP 4.5)
  • GOMP_SPINCOUNT: 300000

Full environment

view pixi env JSON

sklearn-conda

Python 3.12.13

Packages

  • scikit-learn 1.9.0 (conda-forge)
  • numpy 2.5.0 (conda-forge)
  • scipy 1.18.0 (conda-forge)
  • pandas 2.3.3 (conda-forge)

Threadpools

  • libopenblas 0.3.33 (16 threads)
  • libgomp (16 threads)

OpenMP

  • GNU libgomp (OpenMP 4.5)
  • GOMP_SPINCOUNT: 1

Full environment

view pixi env JSON

sklearn-dev@cakedev0:hgb/adapt_to_active_wait

Python 3.12.13

Packages

  • scikit-learn @ 27d3e13ba
  • numpy 2.5.0 (conda-forge)
  • scipy 1.18.0 (conda-forge)
  • pandas 2.3.3 (conda-forge)

Threadpools

  • libopenblas 0.3.33 (16 threads)
  • libgomp (16 threads)

OpenMP

  • GNU libgomp (OpenMP 4.5)
  • GOMP_SPINCOUNT: 1

Full environment

view pixi env JSON

sklearn-dev@cakedev0:main

Python 3.12.13

Packages

  • scikit-learn @ e27ccf585
  • numpy 2.5.0 (conda-forge)
  • scipy 1.18.0 (conda-forge)
  • pandas 2.3.3 (conda-forge)

Threadpools

  • libopenblas 0.3.33 (16 threads)
  • libgomp (16 threads)

OpenMP

  • GNU libgomp (OpenMP 4.5)
  • GOMP_SPINCOUNT: 1

Full environment

view pixi env JSON

linear / fit (91 points)

● Metrics and benchmark setup match the baseline

linear / predict (91 points)

● Metrics and benchmark setup match the baseline
Detailed results

tree-based / fit (173 points)

● Metrics and benchmark setup match the baseline

tree-based / predict (173 points)

● Metrics and benchmark setup match the baseline
Detailed results

clustering / fit (17 points)

● Metrics and benchmark setup match the baseline
■ Metrics match the baseline, but some comparison details are worth reporting:
  • 🔁 Number of iteration differs: this might mean algorithms differ - KMeans (2)

clustering / predict (17 points)

● Metrics and benchmark setup match the baseline
■ Metrics match the baseline, but some comparison details are worth reporting:
  • 🔁 Number of iteration differs: this might mean algorithms differ - KMeans (2)
Detailed results