scikit 0905

HiSilicon TSV110 testing with a Huawei TaiShan 200 (Model 2280) BC82AMDDRA (1.86 BIOS) and Huawei Hi171x [iBMC Intelligent Management chip w/VGA support] 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 2409082-NE-SCIKIT09081
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Result
Identifier
Performance Per
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Date
Run
  Test
  Duration
HiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent
September 06
  2 Days, 1 Hour, 50 Minutes
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scikit 0905OpenBenchmarking.orgPhoronix Test SuiteHiSilicon TSV110 (96 Cores)Huawei TaiShan 200 (Model 2280) BC82AMDDRA (1.86 BIOS)Huawei HiSilicon1008GB2 x 1200GB Seagate ST1200MM0009Huawei Hi171x [iBMC Intelligent Management chip w/VGA support]8 x Huawei HNS GE/10GE/25GEUbuntu 22.045.15.0-119-generic (aarch64)1.3.255GCC 11.4.0ext41024x768ProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelVulkanCompilerFile-SystemScreen ResolutionScikit 0905 BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --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-link-serialization=2 --enable-multiarch --enable-nls --enable-objc-gc=auto --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto -v - 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 + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Not affected + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Not affected + srbds: Not affected + tsx_async_abort: Not affected

scikit 0905scikit-learn: Isotonic / Pathologicalscikit-learn: Hist Gradient Boostingscikit-learn: Hist Gradient Boosting Adultscikit-learn: Isotonic / Perturbed Logarithmscikit-learn: Isotonic / Logisticscikit-learn: Hist Gradient Boosting Categorical Onlyscikit-learn: SAGAscikit-learn: SGDOneClassSVMscikit-learn: Plot Neighborsscikit-learn: Hist Gradient Boosting Threadingscikit-learn: Sparse Rand Projections / 100 Iterationsscikit-learn: Covertype Dataset Benchmarkscikit-learn: Plot Fast KMeansscikit-learn: Plot Polynomial Kernel Approximationscikit-learn: Plot Hierarchicalscikit-learn: Treescikit-learn: GLMscikit-learn: Lassoscikit-learn: Isolation Forestscikit-learn: Plot Singular Value Decompositionscikit-learn: Plot Incremental PCAscikit-learn: Kernel PCA Solvers / Time vs. N Samplesscikit-learn: Sample Without Replacementscikit-learn: MNIST Datasetscikit-learn: Feature Expansionsscikit-learn: SGD Regressionscikit-learn: Sparsifyscikit-learn: Plot Wardscikit-learn: Kernel PCA Solvers / Time vs. N Componentsscikit-learn: Text Vectorizersscikit-learn: 20 Newsgroups / Logistic Regressionscikit-learn: GlmnetHiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent8366.9075991.3934376.1332825.8952533.698964.8902248.019888.775676.300825.0201389.9931165.587490.457757.627756.470222.387696.666677.975448.407133.181118.141326.062314.549275.729278.246230.884216.488211.114155.786137.91328.927OpenBenchmarking.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: Isotonic / PathologicalHiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent2K4K6K8K10KSE +/- 41.92, N = 38366.911. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Hist Gradient BoostingHiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent13002600390052006500SE +/- 85.84, N = 35991.391. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Hist Gradient Boosting AdultHiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent9001800270036004500SE +/- 1292.14, N = 34376.131. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Isotonic / Perturbed LogarithmHiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent6001200180024003000SE +/- 5.80, N = 32825.901. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Isotonic / LogisticHiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent5001000150020002500SE +/- 15.97, N = 32533.701. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Hist Gradient Boosting Categorical OnlyHiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent2004006008001000SE +/- 91.05, N = 9964.891. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: SAGAHiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent5001000150020002500SE +/- 9.30, N = 32248.021. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: SGDOneClassSVMHiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent2004006008001000SE +/- 7.45, N = 9888.781. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot NeighborsHiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent150300450600750SE +/- 6.01, N = 9676.301. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Hist Gradient Boosting ThreadingHiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent2004006008001000SE +/- 41.73, N = 6825.021. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Sparse Random Projections / 100 IterationsHiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent30060090012001500SE +/- 10.09, N = 31389.991. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Covertype Dataset BenchmarkHiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent30060090012001500SE +/- 10.46, N = 31165.591. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot Fast KMeansHiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent110220330440550SE +/- 12.36, N = 7490.461. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot Polynomial Kernel ApproximationHiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent160320480640800SE +/- 0.59, N = 3757.631. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot HierarchicalHiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent160320480640800SE +/- 1.01, N = 3756.471. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: TreeHiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent50100150200250SE +/- 2.62, N = 12222.391. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: GLMHiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent150300450600750SE +/- 0.85, N = 3696.671. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: LassoHiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent150300450600750SE +/- 6.29, N = 3677.981. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

Benchmark: Hist Gradient Boosting Higgs Boson

HiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent: The test quit with a non-zero exit status. E: EOFError: Compressed file ended before the end-of-stream marker was reached

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Isolation ForestHiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent100200300400500SE +/- 1.02, N = 3448.411. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot Singular Value DecompositionHiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent306090120150SE +/- 0.95, N = 12133.181. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot Incremental PCAHiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent306090120150SE +/- 5.48, N = 12118.141. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Kernel PCA Solvers / Time vs. N SamplesHiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent70140210280350SE +/- 4.18, N = 3326.061. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

Benchmark: TSNE MNIST Dataset

HiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent: The test quit with a non-zero exit status.

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Sample Without ReplacementHiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent70140210280350SE +/- 0.97, N = 3314.551. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: MNIST DatasetHiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent60120180240300SE +/- 3.70, N = 3275.731. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Feature ExpansionsHiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent60120180240300SE +/- 0.77, N = 3278.251. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: SGD RegressionHiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent50100150200250SE +/- 1.52, N = 3230.881. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: SparsifyHiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent50100150200250SE +/- 0.78, N = 3216.491. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot WardHiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent50100150200250SE +/- 2.65, N = 3211.111. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

Benchmark: Plot Parallel Pairwise

HiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent: The test quit with a non-zero exit status.

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Kernel PCA Solvers / Time vs. N ComponentsHiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent306090120150SE +/- 2.09, N = 3155.791. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

Benchmark: LocalOutlierFactor

HiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent: The test quit with a non-zero exit status.

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Text VectorizersHiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent306090120150SE +/- 0.30, N = 3137.911. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: 20 Newsgroups / Logistic RegressionHiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent714212835SE +/- 0.33, N = 1528.931. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

Benchmark: Plot Non-Negative Matrix Factorization

HiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent: The test quit with a non-zero exit status. E: KeyError:

Benchmark: RCV1 Logreg Convergencet

HiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent: The test quit with a non-zero exit status. E: IndexError: list index out of range

Benchmark: Plot Lasso Path

HiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent: The test quit with a non-zero exit status. E: sklearn.utils._param_validation.InvalidParameterError: The 'effective_rank' parameter of make_regression must be an int in the range [1, inf) or None. Got 1.5 instead.

Benchmark: Plot OMP vs. LARS

HiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent: The test quit with a non-zero exit status. E: TypeError: got an unexpected keyword argument 'data_transposed'

Benchmark: Glmnet

HiSilicon TSV110 - Huawei Hi171x [iBMC Intelligent: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'glmnet'