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.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2405056-VPA1-MERGE7223
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noble
May 02
  12 Hours, 54 Minutes
scikit-learn-python-disabled-fp
May 03
  10 Hours, 58 Minutes
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  11 Hours, 56 Minutes
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SCIKIT-leaRn testsOpenBenchmarking.orgPhoronix Test SuiteAMD 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 13.2.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelCompilerFile-SystemScreen ResolutionSCIKIT-leaRn Tests PerformanceSystem Logs- Transparent Huge Pages: madvise- 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 - Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x8701013- Python 3.12.3- 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

noble vs. scikit-learn-python-disabled-fp ComparisonPhoronix Test SuiteBaseline+1.1%+1.1%+2.2%+2.2%+3.3%+3.3%+4.4%+4.4%4.4%4.2%3.7%3.6%3.6%TreeS.W.RSGDOneClassSVMSGD RegressionText VectorizersI.P.L2%Scikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-Learnnoblescikit-learn-python-disabled-fp

SCIKIT-leaRn testsscikit-learn: GLMscikit-learn: SAGAscikit-learn: Treescikit-learn: Lassoscikit-learn: Sparsifyscikit-learn: Plot Wardscikit-learn: MNIST Datasetscikit-learn: Plot Neighborsscikit-learn: SGD Regressionscikit-learn: SGDOneClassSVMscikit-learn: Plot Lasso Pathscikit-learn: Isolation Forestscikit-learn: Plot Fast KMeansscikit-learn: Text Vectorizersscikit-learn: Plot Hierarchicalscikit-learn: Plot OMP vs. LARSscikit-learn: Feature Expansionsscikit-learn: LocalOutlierFactorscikit-learn: TSNE MNIST Datasetscikit-learn: Isotonic / Logisticscikit-learn: Plot Incremental PCAscikit-learn: Hist Gradient Boostingscikit-learn: Sample Without Replacementscikit-learn: Covertype Dataset Benchmarkscikit-learn: Hist Gradient Boosting Adultscikit-learn: Isotonic / Perturbed Logarithmscikit-learn: Hist Gradient Boosting Threadingscikit-learn: Plot Singular Value Decompositionscikit-learn: Hist Gradient Boosting Higgs Bosonscikit-learn: 20 Newsgroups / Logistic Regressionscikit-learn: Plot Polynomial Kernel Approximationscikit-learn: Hist Gradient Boosting Categorical Onlyscikit-learn: Kernel PCA Solvers / Time vs. N Samplesscikit-learn: Kernel PCA Solvers / Time vs. N Componentsscikit-learn: Sparse Rand Projections / 100 Iterationsnoblescikit-learn-python-disabled-fp282.676873.25748.325351.023130.29753.99065.706144.44483.045328.938232.397300.663172.97765.740207.11570.087135.12153.388259.7581435.273102.786117.089180.105375.954111.8301787.711111.84396.61461.36337.588155.49420.053266.45070.231557.985279.636863.60546.295347.803129.05554.22765.171144.30180.147317.255232.343304.156172.64163.480204.13169.835135.64153.005254.8641420.391101.851115.39172.819375.460110.3991824.299111.37795.65861.16537.804152.59719.796266.46569.159566.951OpenBenchmarking.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: GLMscikit-learn-python-disabled-fpnoble60120180240300SE +/- 3.95, N = 3SE +/- 2.42, N = 8279.64282.681. (F9X) gfortran options: -O0

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

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

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

Benchmark: Glmnet

noble: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'glmnet'

scikit-learn-python-disabled-fp: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'glmnet'

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Benchmark: Plot Parallel Pairwise

noble: The test quit with a non-zero exit status. E: numpy.core._exceptions._ArrayMemoryError: Unable to allocate 74.5 GiB for an array with shape (100000, 100000) and data type float64

scikit-learn-python-disabled-fp: The test quit with a non-zero exit status. E: numpy.core._exceptions._ArrayMemoryError: Unable to allocate 74.5 GiB for an array with shape (100000, 100000) and data type float64

Benchmark: Isotonic / Pathological

noble: The test quit with a non-zero exit status.

scikit-learn-python-disabled-fp: The test quit with a non-zero exit status.

Benchmark: RCV1 Logreg Convergencet

noble: The test quit with a non-zero exit status. E: IndexError: list index out of range

scikit-learn-python-disabled-fp: The test quit with a non-zero exit status. E: IndexError: list index out of range

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

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

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

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

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

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

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

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

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

Benchmark: Plot Non-Negative Matrix Factorization

noble: The test quit with a non-zero exit status. E: KeyError:

scikit-learn-python-disabled-fp: The test quit with a non-zero exit status. E: KeyError:

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

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

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

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