lcu-intel-python

Intel Xeon Gold 5416S testing with a Supermicro X13SEW-TF v1.02 (2.1 BIOS) and ASPEED on Debian 12 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2403221-NE-LCUINTELP75&grr.

lcu-intel-pythonProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelCompilerFile-SystemScreen ResolutionIntel Xeon Gold 5416SIntel Xeon Gold 5416S @ 2.00GHz (16 Cores / 32 Threads)Supermicro X13SEW-TF v1.02 (2.1 BIOS)Intel Device 1bce64GB3841GB SAMSUNG MZ1L23T8HBLA-00A07ASPEEDDELL 1907FPV2 x Intel X550 + 2 x Intel I350Debian 126.1.0-18-amd64 (x86_64)GCC 12.2.0xfs1280x1024OpenBenchmarking.org- Transparent Huge Pages: always- --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-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-12-bTRWOB/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-bTRWOB/gcc-12-12.2.0/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 - Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x2b000571 - Python 3.11.2- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: 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 IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected

lcu-intel-pythonscikit-learn: Isotonic / Perturbed Logarithmscikit-learn: Isotonic / Logisticscikit-learn: Sparse Rand Projections / 100 Iterationsscikit-learn: Covertype Dataset Benchmarkscikit-learn: Lassoscikit-learn: Isolation Forestscikit-learn: SGDOneClassSVMscikit-learn: Plot Lasso Pathscikit-learn: TSNE MNIST Datasetscikit-learn: GLMscikit-learn: Plot Fast KMeansscikit-learn: Plot Hierarchicalscikit-learn: Plot Polynomial Kernel Approximationscikit-learn: Feature Expansionsscikit-learn: Plot Neighborsscikit-learn: Sparsifyscikit-learn: Hist Gradient Boostingscikit-learn: Hist Gradient Boosting Adultscikit-learn: Sample Without Replacementscikit-learn: Hist Gradient Boosting Threadingnumpy: scikit-learn: SGD Regressionscikit-learn: Kernel PCA Solvers / Time vs. N Samplesscikit-learn: MNIST Datasetscikit-learn: Plot Wardscikit-learn: 20 Newsgroups / Logistic Regressionscikit-learn: Plot Singular Value Decompositionscikit-learn: Plot OMP vs. LARSpyperformance: python_startupscikit-learn: Treescikit-learn: Plot Incremental PCAscikit-learn: LocalOutlierFactorscikit-learn: Kernel PCA Solvers / Time vs. N Componentspyperformance: gopyperformance: django_templatepyperformance: 2to3pyperformance: regex_compilepyperformance: crypto_pyaespyperformance: floatpyperformance: raytracepyperformance: chaospyperformance: pathlibscikit-learn: Hist Gradient Boosting Categorical Onlypyperformance: json_loadspyperformance: pickle_pure_pythonpyperformance: nbodycython-bench: N-Queenspybench: Total For Average Test Timespyhpc: CPU - JAX - 16384 - Equation of StateIntel Xeon Gold 5416S1817.5651591.642827.460378.933377.094272.417251.851210.609208.455206.096182.571175.029163.319155.528144.847114.526114.488109.456104.01191.374570.6784.09277.53360.93456.48951.58952.89848.1296.9243.04529.99932.82733.55397.823.419496.149.945.618445.310.520.80313.818455.318.608561OpenBenchmarking.org

Scikit-Learn

Benchmark: Isotonic / Perturbed Logarithm

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Isotonic / Perturbed LogarithmIntel Xeon Gold 5416S400800120016002000SE +/- 1.88, N = 31817.571. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

Scikit-Learn

Benchmark: Isotonic / Logistic

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Isotonic / LogisticIntel Xeon Gold 5416S30060090012001500SE +/- 3.49, N = 31591.641. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

Scikit-Learn

Benchmark: Sparse Random Projections / 100 Iterations

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Sparse Random Projections / 100 IterationsIntel Xeon Gold 5416S2004006008001000SE +/- 9.31, N = 3827.461. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

Scikit-Learn

Benchmark: Covertype Dataset Benchmark

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Covertype Dataset BenchmarkIntel Xeon Gold 5416S80160240320400SE +/- 2.44, N = 3378.931. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

Scikit-Learn

Benchmark: Lasso

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: LassoIntel Xeon Gold 5416S80160240320400SE +/- 2.44, N = 3377.091. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

Scikit-Learn

Benchmark: Isolation Forest

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Isolation ForestIntel Xeon Gold 5416S60120180240300SE +/- 0.28, N = 3272.421. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

Scikit-Learn

Benchmark: SGDOneClassSVM

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: SGDOneClassSVMIntel Xeon Gold 5416S60120180240300SE +/- 0.69, N = 3251.851. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

Scikit-Learn

Benchmark: Plot Lasso Path

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot Lasso PathIntel Xeon Gold 5416S50100150200250SE +/- 1.12, N = 3210.611. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

Scikit-Learn

Benchmark: TSNE MNIST Dataset

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: TSNE MNIST DatasetIntel Xeon Gold 5416S50100150200250SE +/- 0.86, N = 3208.461. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

Scikit-Learn

Benchmark: GLM

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: GLMIntel Xeon Gold 5416S50100150200250SE +/- 0.35, N = 3206.101. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

Scikit-Learn

Benchmark: Plot Fast KMeans

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot Fast KMeansIntel Xeon Gold 5416S4080120160200SE +/- 0.01, N = 3182.571. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

Scikit-Learn

Benchmark: Plot Hierarchical

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot HierarchicalIntel Xeon Gold 5416S4080120160200SE +/- 0.48, N = 3175.031. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

Scikit-Learn

Benchmark: Plot Polynomial Kernel Approximation

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot Polynomial Kernel ApproximationIntel Xeon Gold 5416S4080120160200SE +/- 1.13, N = 3163.321. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

Scikit-Learn

Benchmark: Feature Expansions

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Feature ExpansionsIntel Xeon Gold 5416S306090120150SE +/- 0.39, N = 3155.531. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

Scikit-Learn

Benchmark: Plot Neighbors

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot NeighborsIntel Xeon Gold 5416S306090120150SE +/- 1.02, N = 3144.851. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

Scikit-Learn

Benchmark: Sparsify

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: SparsifyIntel Xeon Gold 5416S306090120150SE +/- 0.46, N = 3114.531. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

Scikit-Learn

Benchmark: Hist Gradient Boosting

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Hist Gradient BoostingIntel Xeon Gold 5416S306090120150SE +/- 0.96, N = 3114.491. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

Scikit-Learn

Benchmark: Hist Gradient Boosting Adult

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Hist Gradient Boosting AdultIntel Xeon Gold 5416S20406080100SE +/- 0.25, N = 3109.461. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

Scikit-Learn

Benchmark: Sample Without Replacement

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Sample Without ReplacementIntel Xeon Gold 5416S20406080100SE +/- 0.44, N = 3104.011. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

Scikit-Learn

Benchmark: Hist Gradient Boosting Threading

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Hist Gradient Boosting ThreadingIntel Xeon Gold 5416S20406080100SE +/- 0.45, N = 391.371. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

Numpy Benchmark

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkIntel Xeon Gold 5416S120240360480600SE +/- 7.28, N = 3570.67

Scikit-Learn

Benchmark: SGD Regression

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: SGD RegressionIntel Xeon Gold 5416S20406080100SE +/- 0.16, N = 384.091. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

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 SamplesIntel Xeon Gold 5416S20406080100SE +/- 0.36, N = 377.531. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

Scikit-Learn

Benchmark: MNIST Dataset

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: MNIST DatasetIntel Xeon Gold 5416S1428425670SE +/- 0.10, N = 360.931. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

Scikit-Learn

Benchmark: Plot Ward

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot WardIntel Xeon Gold 5416S1326395265SE +/- 0.69, N = 356.491. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

Scikit-Learn

Benchmark: 20 Newsgroups / Logistic Regression

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: 20 Newsgroups / Logistic RegressionIntel Xeon Gold 5416S1224364860SE +/- 0.53, N = 351.591. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

Scikit-Learn

Benchmark: Plot Singular Value Decomposition

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot Singular Value DecompositionIntel Xeon Gold 5416S1224364860SE +/- 0.02, N = 352.901. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

Scikit-Learn

Benchmark: Plot OMP vs. LARS

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot OMP vs. LARSIntel Xeon Gold 5416S1122334455SE +/- 0.08, N = 348.131. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

PyPerformance

Benchmark: python_startup

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupIntel Xeon Gold 5416S246810SE +/- 0.02, N = 36.92

Scikit-Learn

Benchmark: Tree

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: TreeIntel Xeon Gold 5416S1020304050SE +/- 0.43, N = 343.051. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

Scikit-Learn

Benchmark: Plot Incremental PCA

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot Incremental PCAIntel Xeon Gold 5416S714212835SE +/- 0.20, N = 330.001. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

Scikit-Learn

Benchmark: LocalOutlierFactor

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: LocalOutlierFactorIntel Xeon Gold 5416S816243240SE +/- 0.01, N = 332.831. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

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 ComponentsIntel Xeon Gold 5416S816243240SE +/- 0.34, N = 333.551. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

PyPerformance

Benchmark: go

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: goIntel Xeon Gold 5416S20406080100SE +/- 0.12, N = 397.8

PyPerformance

Benchmark: django_template

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateIntel Xeon Gold 5416S612182430SE +/- 0.07, N = 323.4

PyPerformance

Benchmark: 2to3

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to3Intel Xeon Gold 5416S4080120160200SE +/- 0.33, N = 3194

PyPerformance

Benchmark: regex_compile

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileIntel Xeon Gold 5416S20406080100SE +/- 0.09, N = 396.1

PyPerformance

Benchmark: crypto_pyaes

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesIntel Xeon Gold 5416S1122334455SE +/- 0.06, N = 349.9

PyPerformance

Benchmark: float

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatIntel Xeon Gold 5416S1020304050SE +/- 0.06, N = 345.6

PyPerformance

Benchmark: raytrace

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceIntel Xeon Gold 5416S4080120160200SE +/- 0.00, N = 3184

PyPerformance

Benchmark: chaos

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosIntel Xeon Gold 5416S1020304050SE +/- 0.07, N = 345.3

PyPerformance

Benchmark: pathlib

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibIntel Xeon Gold 5416S3691215SE +/- 0.00, N = 310.5

Scikit-Learn

Benchmark: Hist Gradient Boosting Categorical Only

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Hist Gradient Boosting Categorical OnlyIntel Xeon Gold 5416S510152025SE +/- 0.14, N = 320.801. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

PyPerformance

Benchmark: json_loads

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsIntel Xeon Gold 5416S48121620SE +/- 0.09, N = 313.8

PyPerformance

Benchmark: pickle_pure_python

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonIntel Xeon Gold 5416S4080120160200SE +/- 0.00, N = 3184

PyPerformance

Benchmark: nbody

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyIntel Xeon Gold 5416S1224364860SE +/- 0.12, N = 355.3

Cython Benchmark

Test: N-Queens

OpenBenchmarking.orgSeconds, Fewer Is BetterCython Benchmark 0.29.21Test: N-QueensIntel Xeon Gold 5416S510152025SE +/- 0.06, N = 318.61

PyBench

Total For Average Test Times

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesIntel Xeon Gold 5416S120240360480600SE +/- 2.08, N = 3561


Phoronix Test Suite v10.8.5