scikit learn 5950X

AMD Ryzen 9 7950X 16-Core testing with a ASUS ROG CROSSHAIR X670E HERO (1101 BIOS) and AMD Radeon RX 7900 XTX 24GB on Ubuntu 22.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2305115-NE-SCIKITLEA14
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a
May 10 2023
  6 Hours, 55 Minutes
b
May 10 2023
  6 Hours, 16 Minutes
c
May 11 2023
  6 Hours, 24 Minutes
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  6 Hours, 32 Minutes

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scikit learn 5950XOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 9 7950X 16-Core @ 4.50GHz (16 Cores / 32 Threads)ASUS ROG CROSSHAIR X670E HERO (1101 BIOS)AMD Device 14d832GB2048GB SOLIDIGM SSDPFKKW020X7 + 2000GBAMD Radeon RX 7900 XTX 24GB (2304/1249MHz)AMD Device ab30ASUS MG28UIntel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411Ubuntu 22.046.3.0-060300rc7daily20230417-generic (x86_64)GNOME Shell 42.5X Server 1.21.1.3 + Wayland4.6 Mesa 23.2.0-devel (git-f6fb189 2023-04-18 jammy-oibaf-ppa) (LLVM 15.0.7 DRM 3.52)1.3.246GCC 11.3.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionScikit Learn 5950X BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-xKiWfi/gcc-11-11.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-xKiWfi/gcc-11-11.3.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa601203- Python 3.10.6- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

abcResult OverviewPhoronix Test Suite100%114%129%143%Scikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnPlot OMP vs. LARSLassoSGD RegressionGLMSGDOneClassSVMPlot Lasso PathP.I.PK.P.S.T.v.N.CK.P.S.T.v.N.SH.G.B.H.BIsolation ForestTree2.N.L.RPlot NeighborsFeature ExpansionsH.G.B.TH.G.B.ATSNE MNIST DatasetPlot Fast KMeansPlot WardText VectorizersMNIST DatasetS.R.P.1.IH.G.B.C.OH.G.BI.LS.W.RPlot HierarchicalC.D.BSparsifyLocalOutlierFactorSAGAP.P.K.AP.S.V.D

scikit learn 5950Xscikit-learn: GLMscikit-learn: SAGAscikit-learn: Treescikit-learn: Lassoscikit-learn: Sparsifyscikit-learn: Plot Wardscikit-learn: MNIST Datasetscikit-learn: Plot Neighborsscikit-learn: SGD Regressionscikit-learn: SGDOneClassSVMscikit-learn: Plot Lasso Pathscikit-learn: Isolation Forestscikit-learn: Plot Fast KMeansscikit-learn: Text Vectorizersscikit-learn: Plot Hierarchicalscikit-learn: Plot OMP vs. LARSscikit-learn: Feature Expansionsscikit-learn: LocalOutlierFactorscikit-learn: TSNE MNIST Datasetscikit-learn: Isotonic / Logisticscikit-learn: Plot Incremental PCAscikit-learn: Hist Gradient Boostingscikit-learn: Sample Without Replacementscikit-learn: Covertype Dataset Benchmarkscikit-learn: Hist Gradient Boosting Adultscikit-learn: Hist Gradient Boosting Threadingscikit-learn: Plot Singular Value Decompositionscikit-learn: Hist Gradient Boosting Higgs Bosonscikit-learn: 20 Newsgroups / Logistic Regressionscikit-learn: Plot Polynomial Kernel Approximationscikit-learn: Hist Gradient Boosting Categorical Onlyscikit-learn: Kernel PCA Solvers / Time vs. N Samplesscikit-learn: Kernel PCA Solvers / Time vs. N Componentsscikit-learn: Sparse Rand Projections / 100 Iterationsabc167.138568.36434.484309.79267.55733.77242.813103.85479.631238.929112.273168.473123.57939.491115.02652.05179.06123.360141.7551020.78347.94288.83665.763270.85384.06665.38644.70131.81224.63292.65715.82983.71034.331381.423142.180571.01935.373208.53967.55233.81542.453102.51058.841204.919123.748171.268125.40139.506114.50633.08879.48123.386142.7091015.23847.11589.00865.591270.39984.64866.50544.87532.73124.58993.01215.93785.35133.961378.067141.992569.63734.747208.91767.93934.17842.834104.83859.164208.572125.345173.116124.30839.920114.27933.41480.57323.482144.0401022.45445.34389.48865.308271.99183.20865.36844.80232.45025.17993.02215.80786.72735.192379.121OpenBenchmarking.org

Scikit-Learn

Scikit-learn is a Python module for machine learning built on NumPy, SciPy, and is BSD-licensed. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: GLMabc4080120160200SE +/- 0.97, N = 3SE +/- 0.63, N = 3SE +/- 0.73, N = 3167.14142.18141.991. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: SAGAabc120240360480600SE +/- 2.25, N = 3SE +/- 3.47, N = 3SE +/- 1.46, N = 3568.36571.02569.641. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Treeabc816243240SE +/- 0.43, N = 15SE +/- 0.38, N = 15SE +/- 0.43, N = 1534.4835.3734.751. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Lassoabc70140210280350SE +/- 0.34, N = 3SE +/- 0.81, N = 3SE +/- 1.28, N = 3309.79208.54208.921. (F9X) gfortran options: -O0

Benchmark: Glmnet

a: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'glmnet'

b: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'glmnet'

c: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'glmnet'

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Sparsifyabc1530456075SE +/- 0.71, N = 3SE +/- 0.56, N = 3SE +/- 0.72, N = 367.5667.5567.941. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot Wardabc816243240SE +/- 0.05, N = 3SE +/- 0.42, N = 3SE +/- 0.28, N = 333.7733.8234.181. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: MNIST Datasetabc1020304050SE +/- 0.27, N = 3SE +/- 0.01, N = 3SE +/- 0.22, N = 342.8142.4542.831. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot Neighborsabc20406080100SE +/- 0.38, N = 3SE +/- 1.07, N = 3SE +/- 0.52, N = 3103.85102.51104.841. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: SGD Regressionabc20406080100SE +/- 0.29, N = 3SE +/- 0.13, N = 3SE +/- 0.12, N = 379.6358.8459.161. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: SGDOneClassSVMabc50100150200250SE +/- 0.51, N = 3SE +/- 0.37, N = 3SE +/- 2.09, N = 5238.93204.92208.571. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot Lasso Pathabc306090120150SE +/- 0.58, N = 3SE +/- 0.89, N = 3SE +/- 0.63, N = 3112.27123.75125.351. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Isolation Forestabc4080120160200SE +/- 0.26, N = 3SE +/- 0.30, N = 3SE +/- 1.54, N = 3168.47171.27173.121. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot Fast KMeansabc306090120150SE +/- 0.29, N = 3SE +/- 0.83, N = 3SE +/- 0.61, N = 3123.58125.40124.311. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Text Vectorizersabc918273645SE +/- 0.14, N = 3SE +/- 0.08, N = 3SE +/- 0.22, N = 339.4939.5139.921. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot Hierarchicalabc306090120150SE +/- 0.26, N = 3SE +/- 0.15, N = 3SE +/- 0.41, N = 3115.03114.51114.281. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot OMP vs. LARSabc1224364860SE +/- 0.38, N = 3SE +/- 0.09, N = 3SE +/- 0.14, N = 352.0533.0933.411. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Feature Expansionsabc20406080100SE +/- 0.33, N = 3SE +/- 0.12, N = 3SE +/- 0.47, N = 379.0679.4880.571. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: LocalOutlierFactorabc612182430SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 323.3623.3923.481. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: TSNE MNIST Datasetabc306090120150SE +/- 1.56, N = 5SE +/- 0.37, N = 3SE +/- 0.84, N = 3141.76142.71144.041. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Isotonic / Logisticabc2004006008001000SE +/- 5.97, N = 3SE +/- 0.65, N = 3SE +/- 2.35, N = 31020.781015.241022.451. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot Incremental PCAabc1122334455SE +/- 0.72, N = 15SE +/- 0.78, N = 15SE +/- 1.03, N = 1547.9447.1245.341. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Hist Gradient Boostingabc20406080100SE +/- 0.73, N = 3SE +/- 0.58, N = 3SE +/- 0.49, N = 388.8489.0189.491. (F9X) gfortran options: -O0

Benchmark: Plot Parallel Pairwise

a: The test quit with a non-zero exit status. E: numpy.core._exceptions._ArrayMemoryError: Unable to allocate 74.5 GiB for an array with shape (100000, 100000) and data type float64

b: The test quit with a non-zero exit status. E: numpy.core._exceptions._ArrayMemoryError: Unable to allocate 74.5 GiB for an array with shape (100000, 100000) and data type float64

c: The test quit with a non-zero exit status. E: numpy.core._exceptions._ArrayMemoryError: Unable to allocate 74.5 GiB for an array with shape (100000, 100000) and data type float64

Benchmark: Isotonic / Pathological

a: The test quit with a non-zero exit status.

b: The test quit with a non-zero exit status.

c: The test quit with a non-zero exit status.

Benchmark: RCV1 Logreg Convergencet

a: The test quit with a non-zero exit status. E: IndexError: list index out of range

b: The test quit with a non-zero exit status. E: IndexError: list index out of range

c: The test quit with a non-zero exit status. E: IndexError: list index out of range

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Sample Without Replacementabc1530456075SE +/- 0.03, N = 3SE +/- 0.34, N = 3SE +/- 0.43, N = 365.7665.5965.311. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Covertype Dataset Benchmarkabc60120180240300SE +/- 1.22, N = 3SE +/- 0.09, N = 3SE +/- 1.29, N = 3270.85270.40271.991. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Hist Gradient Boosting Adultabc20406080100SE +/- 0.38, N = 3SE +/- 0.69, N = 3SE +/- 0.32, N = 384.0784.6583.211. (F9X) gfortran options: -O0

Benchmark: Isotonic / Perturbed Logarithm

a: The test quit with a non-zero exit status.

b: The test quit with a non-zero exit status.

c: The test quit with a non-zero exit status.

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Hist Gradient Boosting Threadingabc1530456075SE +/- 0.31, N = 3SE +/- 0.52, N = 3SE +/- 0.28, N = 365.3966.5165.371. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot Singular Value Decompositionabc1020304050SE +/- 0.46, N = 15SE +/- 0.38, N = 3SE +/- 0.52, N = 344.7044.8844.801. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Hist Gradient Boosting Higgs Bosonabc816243240SE +/- 0.26, N = 3SE +/- 0.23, N = 3SE +/- 0.15, N = 331.8132.7332.451. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: 20 Newsgroups / Logistic Regressionabc612182430SE +/- 0.32, N = 3SE +/- 0.20, N = 3SE +/- 0.21, N = 324.6324.5925.181. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot Polynomial Kernel Approximationabc20406080100SE +/- 0.11, N = 3SE +/- 0.28, N = 3SE +/- 0.42, N = 392.6693.0193.021. (F9X) gfortran options: -O0

Benchmark: Plot Non-Negative Matrix Factorization

a: The test quit with a non-zero exit status. E: KeyError:

b: The test quit with a non-zero exit status. E: KeyError:

c: The test quit with a non-zero exit status. E: KeyError:

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Hist Gradient Boosting Categorical Onlyabc48121620SE +/- 0.13, N = 3SE +/- 0.14, N = 3SE +/- 0.01, N = 315.8315.9415.811. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Kernel PCA Solvers / Time vs. N Samplesabc20406080100SE +/- 2.28, N = 12SE +/- 1.27, N = 15SE +/- 1.74, N = 1583.7185.3586.731. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Kernel PCA Solvers / Time vs. N Componentsabc816243240SE +/- 0.52, N = 15SE +/- 0.59, N = 15SE +/- 0.52, N = 1534.3333.9635.191. (F9X) gfortran options: -O0

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Sparse Random Projections / 100 Iterationsabc80160240320400SE +/- 2.15, N = 3SE +/- 0.26, N = 3SE +/- 0.62, N = 3381.42378.07379.121. (F9X) gfortran options: -O0