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.

HTML result view exported from: https://openbenchmarking.org/result/2305115-NE-SCIKITLEA14&grs&rdt.

scikit learn 5950XProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionabcAMD 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 11.3.0ext43840x2160OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --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 Processor Details- Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa601203Python Details- Python 3.10.6Security Details- 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

scikit learn 5950Xscikit-learn: Plot OMP vs. LARSscikit-learn: Lassoscikit-learn: SGD Regressionscikit-learn: GLMscikit-learn: SGDOneClassSVMscikit-learn: Plot Lasso Pathscikit-learn: Hist Gradient Boosting Higgs Bosonscikit-learn: Isolation Forestscikit-learn: Treescikit-learn: 20 Newsgroups / Logistic Regressionscikit-learn: Plot Neighborsscikit-learn: Feature Expansionsscikit-learn: Hist Gradient Boosting Threadingscikit-learn: Hist Gradient Boosting Adultscikit-learn: TSNE MNIST Datasetscikit-learn: Plot Fast KMeansscikit-learn: Plot Wardscikit-learn: Text Vectorizersscikit-learn: MNIST Datasetscikit-learn: Sparse Rand Projections / 100 Iterationsscikit-learn: Hist Gradient Boosting Categorical Onlyscikit-learn: Hist Gradient Boostingscikit-learn: Isotonic / Logisticscikit-learn: Sample Without Replacementscikit-learn: Plot Hierarchicalscikit-learn: Covertype Dataset Benchmarkscikit-learn: Sparsifyscikit-learn: LocalOutlierFactorscikit-learn: SAGAscikit-learn: Plot Polynomial Kernel Approximationscikit-learn: Plot Singular Value Decompositionscikit-learn: Kernel PCA Solvers / Time vs. N Componentsscikit-learn: Kernel PCA Solvers / Time vs. N Samplesscikit-learn: Plot Incremental PCAscikit-learn: Glmnetabc52.051309.79279.631167.138238.929112.27331.812168.47334.48424.632103.85479.06165.38684.066141.755123.57933.77239.49142.813381.42315.82988.8361020.78365.763115.026270.85367.55723.360568.36492.65744.70134.33183.71047.94233.088208.53958.841142.180204.919123.74832.731171.26835.37324.589102.51079.48166.50584.648142.709125.40133.81539.50642.453378.06715.93789.0081015.23865.591114.506270.39967.55223.386571.01993.01244.87533.96185.35147.11533.414208.91759.164141.992208.572125.34532.450173.11634.74725.179104.83880.57365.36883.208144.040124.30834.17839.92042.834379.12115.80789.4881022.45465.308114.279271.99167.93923.482569.63793.02244.80235.19286.72745.343OpenBenchmarking.org

Scikit-Learn

Benchmark: Plot OMP vs. LARS

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

Scikit-Learn

Benchmark: Lasso

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

Scikit-Learn

Benchmark: SGD Regression

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

Scikit-Learn

Benchmark: GLM

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

Scikit-Learn

Benchmark: SGDOneClassSVM

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

Scikit-Learn

Benchmark: Plot Lasso Path

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

Scikit-Learn

Benchmark: Hist Gradient Boosting Higgs Boson

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

Scikit-Learn

Benchmark: Isolation Forest

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

Scikit-Learn

Benchmark: Tree

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

Scikit-Learn

Benchmark: 20 Newsgroups / Logistic Regression

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

Scikit-Learn

Benchmark: Plot Neighbors

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

Scikit-Learn

Benchmark: Feature Expansions

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

Scikit-Learn

Benchmark: Hist Gradient Boosting Threading

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

Scikit-Learn

Benchmark: Hist Gradient Boosting Adult

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

Scikit-Learn

Benchmark: TSNE MNIST Dataset

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

Scikit-Learn

Benchmark: Plot Fast KMeans

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

Scikit-Learn

Benchmark: Plot Ward

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

Scikit-Learn

Benchmark: Text Vectorizers

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

Scikit-Learn

Benchmark: MNIST Dataset

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

Scikit-Learn

Benchmark: Sparse Random Projections / 100 Iterations

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

Scikit-Learn

Benchmark: Hist Gradient Boosting Categorical Only

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

Scikit-Learn

Benchmark: Hist Gradient Boosting

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

Scikit-Learn

Benchmark: Isotonic / Logistic

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

Scikit-Learn

Benchmark: Sample Without Replacement

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

Scikit-Learn

Benchmark: Plot Hierarchical

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

Scikit-Learn

Benchmark: Covertype Dataset Benchmark

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

Scikit-Learn

Benchmark: Sparsify

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

Scikit-Learn

Benchmark: LocalOutlierFactor

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

Scikit-Learn

Benchmark: SAGA

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

Scikit-Learn

Benchmark: Plot Polynomial Kernel Approximation

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

Scikit-Learn

Benchmark: Plot Singular Value Decomposition

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

Scikit-Learn

Benchmark: Kernel PCA Solvers / Time vs. N Components

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

Scikit-Learn

Benchmark: Kernel PCA Solvers / Time vs. N Samples

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

Scikit-Learn

Benchmark: Plot Incremental PCA

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


Phoronix Test Suite v10.8.5