python1-result

Ubuntu 22.04 with Sunlight Realtime Linux Kernel

HTML result view exported from: https://openbenchmarking.org/result/2309288-NE-PYTHON1RE27.

python1-resultProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerVulkanCompilerFile-SystemScreen ResolutionIntel Core i7-1260PIntel Core i7-1260P @ 4.70GHz (12 Cores / 16 Threads)Intel NUC12WSBi7 (WSADL357.0088.2023.0505.1623 BIOS)Intel Alder Lake PCH2 x 8 GB DDR4-3200MT/s NT8GA64D88CX3S-JR512GB SAMSUNG MZVL2512HCJQ-00A00Intel Alder Lake-P IGP (1400MHz)Realtek ALC269VBHP E27d G4Intel I225-V + Intel Alder Lake-P PCH CNVi WiFiUbuntu 22.046.5.5-pve-v4-realtime-rt8 (x86_64)GNOME Shell 42.9X Server1.3.238GCC 11.4.0ext42560x1440OpenBenchmarking.org- --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-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/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: intel_pstate powersave (EPP: performance) - CPU Microcode: 0x42c - Thermald 2.4.9 - Python 3.10.12- 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 / Automatic IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected

python1-resultnumpy: cython-bench: N-Queenspybench: Total For Average Test Timesnumenta-nab: KNN CADnumenta-nab: Relative Entropynumenta-nab: Windowed Gaussiannumenta-nab: Earthgecko Skylinenumenta-nab: Bayesian Changepointnumenta-nab: Contextual Anomaly Detector OSEmlpack: scikit_svmmlpack: scikit_linearridgeregressionpyhpc: CPU - Numpy - 16384 - Equation of Statepyhpc: CPU - Numpy - 16384 - Isoneutral Mixingpyhpc: CPU - Numpy - 65536 - Equation of Statepyhpc: CPU - Numpy - 65536 - Isoneutral Mixingpyhpc: CPU - Numpy - 262144 - Equation of Statepyhpc: CPU - Numpy - 262144 - Isoneutral Mixingpyhpc: CPU - Numpy - 1048576 - Equation of Statepyhpc: CPU - Numpy - 1048576 - Isoneutral Mixingpyhpc: CPU - Numpy - 4194304 - Equation of Statepyhpc: CPU - Numpy - 4194304 - Isoneutral Mixingscikit-learn: Sparsifyscikit-learn: MNIST Datasetscikit-learn: Text Vectorizersscikit-learn: TSNE MNIST Datasetscikit-learn: Covertype Dataset Benchmarkscikit-learn: Hist Gradient Boosting Adultscikit-learn: Hist Gradient Boosting Threadingscikit-learn: 20 Newsgroups / Logistic Regressionscikit-learn: Hist Gradient Boosting Categorical Onlyscikit-learn: Sparse Rand Projections / 100 IterationsIntel Core i7-1260P520.0215.941566245.02620.70012.279140.16133.28145.83113.79135.250.0020.0060.0150.0280.0660.1170.3020.5622.1832.57669.61356.18745.602451.725368.003140.636174.05934.30027.61121912.978OpenBenchmarking.org

Numpy Benchmark

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkIntel Core i7-1260P110220330440550SE +/- 1.08, N = 3520.02

Cython Benchmark

Test: N-Queens

OpenBenchmarking.orgSeconds, Fewer Is BetterCython Benchmark 0.29.21Test: N-QueensIntel Core i7-1260P48121620SE +/- 0.11, N = 315.94

PyBench

Total For Average Test Times

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesIntel Core i7-1260P120240360480600SE +/- 1.33, N = 3566

Numenta Anomaly Benchmark

Detector: KNN CAD

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: KNN CADIntel Core i7-1260P50100150200250SE +/- 0.83, N = 3245.03

Numenta Anomaly Benchmark

Detector: Relative Entropy

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyIntel Core i7-1260P510152025SE +/- 0.18, N = 1520.70

Numenta Anomaly Benchmark

Detector: Windowed Gaussian

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianIntel Core i7-1260P3691215SE +/- 0.17, N = 1212.28

Numenta Anomaly Benchmark

Detector: Earthgecko Skyline

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineIntel Core i7-1260P306090120150SE +/- 1.18, N = 12140.16

Numenta Anomaly Benchmark

Detector: Bayesian Changepoint

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointIntel Core i7-1260P816243240SE +/- 0.32, N = 633.28

Numenta Anomaly Benchmark

Detector: Contextual Anomaly Detector OSE

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Contextual Anomaly Detector OSEIntel Core i7-1260P1020304050SE +/- 0.37, N = 345.83

Mlpack Benchmark

Benchmark: scikit_svm

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmIntel Core i7-1260P48121620SE +/- 0.02, N = 313.79

Mlpack Benchmark

Benchmark: scikit_linearridgeregression

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionIntel Core i7-1260P306090120150SE +/- 1.19, N = 8135.25

PyHPC Benchmarks

Device: CPU - Backend: Numpy - Project Size: 16384 - Benchmark: Equation of State

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 16384 - Benchmark: Equation of StateIntel Core i7-1260P0.00050.0010.00150.0020.0025SE +/- 0.000, N = 30.002

PyHPC Benchmarks

Device: CPU - Backend: Numpy - Project Size: 16384 - Benchmark: Isoneutral Mixing

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 16384 - Benchmark: Isoneutral MixingIntel Core i7-1260P0.00140.00280.00420.00560.007SE +/- 0.000, N = 30.006

PyHPC Benchmarks

Device: CPU - Backend: Numpy - Project Size: 65536 - Benchmark: Equation of State

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 65536 - Benchmark: Equation of StateIntel Core i7-1260P0.00340.00680.01020.01360.017SE +/- 0.000, N = 30.015

PyHPC Benchmarks

Device: CPU - Backend: Numpy - Project Size: 65536 - Benchmark: Isoneutral Mixing

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 65536 - Benchmark: Isoneutral MixingIntel Core i7-1260P0.00630.01260.01890.02520.0315SE +/- 0.000, N = 30.028

PyHPC Benchmarks

Device: CPU - Backend: Numpy - Project Size: 262144 - Benchmark: Equation of State

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 262144 - Benchmark: Equation of StateIntel Core i7-1260P0.01490.02980.04470.05960.0745SE +/- 0.000, N = 30.066

PyHPC Benchmarks

Device: CPU - Backend: Numpy - Project Size: 262144 - Benchmark: Isoneutral Mixing

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 262144 - Benchmark: Isoneutral MixingIntel Core i7-1260P0.02630.05260.07890.10520.1315SE +/- 0.000, N = 30.117

PyHPC Benchmarks

Device: CPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Equation of State

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Equation of StateIntel Core i7-1260P0.0680.1360.2040.2720.34SE +/- 0.003, N = 30.302

PyHPC Benchmarks

Device: CPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Isoneutral Mixing

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Isoneutral MixingIntel Core i7-1260P0.12650.2530.37950.5060.6325SE +/- 0.002, N = 30.562

PyHPC Benchmarks

Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Equation of State

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Equation of StateIntel Core i7-1260P0.49120.98241.47361.96482.456SE +/- 0.012, N = 32.183

PyHPC Benchmarks

Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Isoneutral Mixing

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Isoneutral MixingIntel Core i7-1260P0.57961.15921.73882.31842.898SE +/- 0.016, N = 32.576

Scikit-Learn

Benchmark: Sparsify

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: SparsifyIntel Core i7-1260P1530456075SE +/- 0.61, N = 369.611. (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 Core i7-1260P1326395265SE +/- 0.12, N = 356.191. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

Scikit-Learn

Benchmark: Text Vectorizers

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Text VectorizersIntel Core i7-1260P1020304050SE +/- 0.11, N = 345.601. (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 Core i7-1260P100200300400500SE +/- 0.88, N = 3451.731. (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 Core i7-1260P80160240320400SE +/- 1.30, N = 3368.001. (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 Core i7-1260P306090120150SE +/- 1.64, N = 3140.641. (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 Core i7-1260P4080120160200SE +/- 0.88, N = 3174.061. (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 Core i7-1260P816243240SE +/- 0.09, N = 334.301. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

Scikit-Learn

Benchmark: Hist Gradient Boosting Categorical Only

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Hist Gradient Boosting Categorical OnlyIntel Core i7-1260P612182430SE +/- 0.29, N = 427.611. (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 Core i7-1260P5K10K15K20K25KSE +/- 12.99, N = 321912.981. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc


Phoronix Test Suite v10.8.5