scikit learn raptor lake

Intel Core i9-13900K testing with a ASUS PRIME Z790-P WIFI (0602 BIOS) and AMD Radeon RX 6800 XT 16GB on Ubuntu 22.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2211203-NE-SCIKITLEA16&gru&rdt.

scikit learn raptor lakeProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionabcIntel Core i9-13900K @ 4.00GHz (24 Cores / 32 Threads)ASUS PRIME Z790-P WIFI (0602 BIOS)Intel Device 7a2732GB1000GB Western Digital WDS100T1X0E-00AFY0AMD Radeon RX 6800 XT 16GB (2575/1000MHz)Realtek ALC897ASUS VP28URealtek RTL8125 2.5GbE + Intel Device 7a70Ubuntu 22.045.18.19-051819-generic (x86_64)GNOME Shell 42.5X Server + Wayland4.6 Mesa 22.0.5 (LLVM 13.0.1 DRM 3.46)1.3.204GCC 11.3.0ext43840x2160OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseProcessor Details- Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x10e - Thermald 2.4.9 Python Details- Python 3.10.6Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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

scikit learn raptor lakescikit-learn: MNIST Datasetscikit-learn: TSNE MNIST Datasetscikit-learn: Sparse Rand Projections, 100 Iterationsabc102.96247.8691187.470102.69845.6531186.284102.20849.1471186.37OpenBenchmarking.org

Scikit-Learn

Benchmark: MNIST Dataset

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.1.3Benchmark: MNIST Datasetabc20406080100SE +/- 0.53, N = 3102.96102.70102.21

Scikit-Learn

Benchmark: TSNE MNIST Dataset

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.1.3Benchmark: TSNE MNIST Datasetabc1122334455SE +/- 0.36, N = 1547.8745.6549.15

Scikit-Learn

Benchmark: Sparse Random Projections, 100 Iterations

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.1.3Benchmark: Sparse Random Projections, 100 Iterationsabc30060090012001500SE +/- 0.35, N = 31187.471186.281186.37

Phoronix Test Suite v10.8.5