SCIKIT-leaRn tests

AMD Ryzen 9 3900X 12-Core testing with a MSI X570-A PRO (MS-7C37) v3.0 (H.70 BIOS) and NVIDIA GeForce RTX 3060 on Ubuntu 24.04 via the Phoronix Test Suite. Noble python 3.12 performance vs. python compiled without frame pointers.

HTML result view exported from: https://openbenchmarking.org/result/2405056-VPA1-MERGE7223&grs&sor.

SCIKIT-leaRn testsProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelCompilerFile-SystemScreen Resolutionnoblescikit-learn-python-disabled-fpAMD Ryzen 9 3900X 12-Core @ 3.80GHz (12 Cores / 24 Threads)MSI X570-A PRO (MS-7C37) v3.0 (H.70 BIOS)AMD Starship/Matisse2 x 16GB DDR4-3200MT/s F4-3200C16-16GVK2000GB Seagate ST2000DM006-2DM1 + 2000GB Western Digital WD20EZAZ-00G + 500GB Samsung SSD 860 + 8002GB Seagate ST8000DM004-2CX1 + 1000GB CT1000BX500SSD1 + 512GB TS512GESD310CNVIDIA GeForce RTX 3060NVIDIA GA104 HD AudioDELL P2314H + U32J59xRealtek RTL8111/8168/8211/8411Ubuntu 24.046.8.0-31-generic (x86_64)GCC 13.2.0ext41920x1080OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- noble: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/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-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 - scikit-learn-python-disabled-fp: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-S2PGXz/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-S2PGXz/gcc-13-13.2.0/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-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: 0x8701013Python Details- Python 3.12.3Security Details- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Mitigation of untrained return thunk; SMT enabled with STIBP protection + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected

SCIKIT-leaRn testsscikit-learn: Treescikit-learn: Sample Without Replacementscikit-learn: Text Vectorizersscikit-learn: Isotonic / Perturbed Logarithmscikit-learn: TSNE MNIST Datasetscikit-learn: Plot Polynomial Kernel Approximationscikit-learn: Sparse Rand Projections / 100 Iterationsscikit-learn: Kernel PCA Solvers / Time vs. N Componentsscikit-learn: Hist Gradient Boostingscikit-learn: Plot Hierarchicalscikit-learn: Hist Gradient Boosting Categorical Onlyscikit-learn: Hist Gradient Boosting Adultscikit-learn: Isolation Forestscikit-learn: SAGAscikit-learn: GLMscikit-learn: Isotonic / Logisticscikit-learn: Plot Singular Value Decompositionscikit-learn: Sparsifyscikit-learn: Lassoscikit-learn: Plot Incremental PCAscikit-learn: MNIST Datasetscikit-learn: LocalOutlierFactorscikit-learn: 20 Newsgroups / Logistic Regressionscikit-learn: Plot Wardscikit-learn: Hist Gradient Boosting Threadingscikit-learn: Feature Expansionsscikit-learn: Plot OMP vs. LARSscikit-learn: Hist Gradient Boosting Higgs Bosonscikit-learn: Plot Fast KMeansscikit-learn: Covertype Dataset Benchmarkscikit-learn: Plot Neighborsscikit-learn: Plot Lasso Pathscikit-learn: Kernel PCA Solvers / Time vs. N Samplesscikit-learn: SGDOneClassSVMscikit-learn: SGD Regressionscikit-learn: Glmnetnoblescikit-learn-python-disabled-fp48.325180.10565.7401787.711259.758155.494557.98570.231117.089207.11520.053111.830300.663873.257282.6761435.27396.614130.297351.023102.78665.70653.38837.58853.990111.843135.12170.08761.363172.977375.954144.444232.397266.450328.93883.04546.295172.81963.4801824.299254.864152.597566.95169.159115.39204.13119.796110.399304.156863.605279.6361420.39195.658129.055347.803101.85165.17153.00537.80454.227111.377135.64169.83561.165172.641375.460144.301232.343266.465317.25580.147OpenBenchmarking.org

Scikit-Learn

Benchmark: Tree

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Treescikit-learn-python-disabled-fpnoble1122334455SE +/- 0.65, N = 3SE +/- 0.53, N = 1546.3048.331. (F9X) gfortran options: -O0

Scikit-Learn

Benchmark: Sample Without Replacement

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Sample Without Replacementscikit-learn-python-disabled-fpnoble4080120160200SE +/- 2.35, N = 3SE +/- 1.97, N = 3172.82180.111. (F9X) gfortran options: -O0

Scikit-Learn

Benchmark: Text Vectorizers

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Text Vectorizersscikit-learn-python-disabled-fpnoble1530456075SE +/- 0.34, N = 3SE +/- 0.04, N = 363.4865.741. (F9X) gfortran options: -O0

Scikit-Learn

Benchmark: Isotonic / Perturbed Logarithm

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Isotonic / Perturbed Logarithmnoblescikit-learn-python-disabled-fp400800120016002000SE +/- 2.41, N = 3SE +/- 12.01, N = 31787.711824.301. (F9X) gfortran options: -O0

Scikit-Learn

Benchmark: TSNE MNIST Dataset

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: TSNE MNIST Datasetscikit-learn-python-disabled-fpnoble60120180240300SE +/- 0.80, N = 3SE +/- 1.20, N = 3254.86259.761. (F9X) gfortran options: -O0

Scikit-Learn

Benchmark: Plot Polynomial Kernel Approximation

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot Polynomial Kernel Approximationscikit-learn-python-disabled-fpnoble306090120150SE +/- 0.38, N = 3SE +/- 0.93, N = 3152.60155.491. (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 Iterationsnoblescikit-learn-python-disabled-fp120240360480600SE +/- 2.85, N = 3SE +/- 7.45, N = 3557.99566.951. (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 Componentsscikit-learn-python-disabled-fpnoble1632486480SE +/- 0.34, N = 3SE +/- 0.61, N = 869.1670.231. (F9X) gfortran options: -O0

Scikit-Learn

Benchmark: Hist Gradient Boosting

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Hist Gradient Boostingscikit-learn-python-disabled-fpnoble306090120150SE +/- 0.19, N = 3SE +/- 0.39, N = 3115.39117.091. (F9X) gfortran options: -O0

Scikit-Learn

Benchmark: Plot Hierarchical

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot Hierarchicalscikit-learn-python-disabled-fpnoble50100150200250SE +/- 1.58, N = 3SE +/- 1.82, N = 3204.13207.121. (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 Onlyscikit-learn-python-disabled-fpnoble510152025SE +/- 0.09, N = 3SE +/- 0.12, N = 319.8020.051. (F9X) gfortran options: -O0

Scikit-Learn

Benchmark: Hist Gradient Boosting Adult

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Hist Gradient Boosting Adultscikit-learn-python-disabled-fpnoble306090120150SE +/- 0.40, N = 3SE +/- 0.14, N = 3110.40111.831. (F9X) gfortran options: -O0

Scikit-Learn

Benchmark: Isolation Forest

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Isolation Forestnoblescikit-learn-python-disabled-fp70140210280350SE +/- 2.33, N = 3SE +/- 3.58, N = 3300.66304.161. (F9X) gfortran options: -O0

Scikit-Learn

Benchmark: SAGA

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: SAGAscikit-learn-python-disabled-fpnoble2004006008001000SE +/- 11.43, N = 3SE +/- 10.17, N = 4863.61873.261. (F9X) gfortran options: -O0

Scikit-Learn

Benchmark: GLM

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: GLMscikit-learn-python-disabled-fpnoble60120180240300SE +/- 3.95, N = 3SE +/- 2.42, N = 8279.64282.681. (F9X) gfortran options: -O0

Scikit-Learn

Benchmark: Isotonic / Logistic

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Isotonic / Logisticscikit-learn-python-disabled-fpnoble30060090012001500SE +/- 15.77, N = 3SE +/- 3.15, N = 31420.391435.271. (F9X) gfortran options: -O0

Scikit-Learn

Benchmark: Plot Singular Value Decomposition

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot Singular Value Decompositionscikit-learn-python-disabled-fpnoble20406080100SE +/- 0.55, N = 3SE +/- 0.67, N = 395.6696.611. (F9X) gfortran options: -O0

Scikit-Learn

Benchmark: Sparsify

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Sparsifyscikit-learn-python-disabled-fpnoble306090120150SE +/- 1.16, N = 7SE +/- 1.56, N = 3129.06130.301. (F9X) gfortran options: -O0

Scikit-Learn

Benchmark: Lasso

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Lassoscikit-learn-python-disabled-fpnoble80160240320400SE +/- 1.29, N = 3SE +/- 2.06, N = 3347.80351.021. (F9X) gfortran options: -O0

Scikit-Learn

Benchmark: Plot Incremental PCA

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot Incremental PCAscikit-learn-python-disabled-fpnoble20406080100SE +/- 0.24, N = 3SE +/- 0.45, N = 3101.85102.791. (F9X) gfortran options: -O0

Scikit-Learn

Benchmark: MNIST Dataset

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: MNIST Datasetscikit-learn-python-disabled-fpnoble1530456075SE +/- 0.76, N = 3SE +/- 0.42, N = 365.1765.711. (F9X) gfortran options: -O0

Scikit-Learn

Benchmark: LocalOutlierFactor

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: LocalOutlierFactorscikit-learn-python-disabled-fpnoble1224364860SE +/- 0.19, N = 3SE +/- 0.10, N = 353.0153.391. (F9X) gfortran options: -O0

Scikit-Learn

Benchmark: 20 Newsgroups / Logistic Regression

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: 20 Newsgroups / Logistic Regressionnoblescikit-learn-python-disabled-fp918273645SE +/- 0.16, N = 3SE +/- 0.16, N = 337.5937.801. (F9X) gfortran options: -O0

Scikit-Learn

Benchmark: Plot Ward

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot Wardnoblescikit-learn-python-disabled-fp1224364860SE +/- 0.59, N = 5SE +/- 0.66, N = 353.9954.231. (F9X) gfortran options: -O0

Scikit-Learn

Benchmark: Hist Gradient Boosting Threading

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Hist Gradient Boosting Threadingscikit-learn-python-disabled-fpnoble306090120150SE +/- 0.03, N = 3SE +/- 0.28, N = 3111.38111.841. (F9X) gfortran options: -O0

Scikit-Learn

Benchmark: Feature Expansions

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Feature Expansionsnoblescikit-learn-python-disabled-fp306090120150SE +/- 0.89, N = 3SE +/- 1.29, N = 3135.12135.641. (F9X) gfortran options: -O0

Scikit-Learn

Benchmark: Plot OMP vs. LARS

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot OMP vs. LARSscikit-learn-python-disabled-fpnoble1632486480SE +/- 0.20, N = 3SE +/- 0.22, N = 369.8470.091. (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 Bosonscikit-learn-python-disabled-fpnoble1428425670SE +/- 0.34, N = 3SE +/- 0.02, N = 361.1761.361. (F9X) gfortran options: -O0

Scikit-Learn

Benchmark: Plot Fast KMeans

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot Fast KMeansscikit-learn-python-disabled-fpnoble4080120160200SE +/- 0.39, N = 3SE +/- 0.83, N = 3172.64172.981. (F9X) gfortran options: -O0

Scikit-Learn

Benchmark: Covertype Dataset Benchmark

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Covertype Dataset Benchmarkscikit-learn-python-disabled-fpnoble80160240320400SE +/- 5.29, N = 3SE +/- 3.40, N = 3375.46375.951. (F9X) gfortran options: -O0

Scikit-Learn

Benchmark: Plot Neighbors

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot Neighborsscikit-learn-python-disabled-fpnoble306090120150SE +/- 1.18, N = 3SE +/- 1.68, N = 3144.30144.441. (F9X) gfortran options: -O0

Scikit-Learn

Benchmark: Plot Lasso Path

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot Lasso Pathscikit-learn-python-disabled-fpnoble50100150200250SE +/- 0.91, N = 3SE +/- 0.17, N = 3232.34232.401. (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 Samplesnoblescikit-learn-python-disabled-fp60120180240300SE +/- 1.59, N = 3SE +/- 0.65, N = 3266.45266.471. (F9X) gfortran options: -O0

Scikit-Learn

Benchmark: SGDOneClassSVM

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: SGDOneClassSVMscikit-learn-python-disabled-fpnoble70140210280350SE +/- 3.04, N = 3SE +/- 9.62, N = 9317.26328.941. (F9X) gfortran options: -O0

Scikit-Learn

Benchmark: SGD Regression

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: SGD Regressionscikit-learn-python-disabled-fpnoble20406080100SE +/- 1.15, N = 3SE +/- 1.86, N = 1580.1583.051. (F9X) gfortran options: -O0


Phoronix Test Suite v10.8.5