Random Machine Learning Test

Intel Core i7-5500U testing with a Dell 0KY4RW (A08 BIOS) and NVIDIA GeForce 845M 2GB on Arch Linux 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 1906230-HV-RANDOMMAC95
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
NVIDIA GeForce 845M - Intel Core i7-5500U
June 23 2019
  5 Minutes
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Random Machine Learning TestOpenBenchmarking.orgPhoronix Test SuiteIntel Core i7-5500U @ 3.00GHz (2 Cores / 4 Threads)Dell 0KY4RW (A08 BIOS)Intel Broadwell-U-OPI16384MB1000GB Seagate ST1000LM014-1EJ1NVIDIA GeForce 845M 2GB (679/2505MHz)Intel Broadwell-U AudioRealtek RTL8111/8168/8411 + Intel 7265Arch Linux5.1.12-arch1-1-ARCH (x86_64)GNOME Shell 3.32.2X Server 1.20.5NVIDIA 430.26GCC 9.1.0 + CUDA 10.1ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerDisplay DriverCompilerFile-SystemScreen ResolutionRandom Machine Learning Test BenchmarksSystem Logs- --disable-libssp --disable-libstdcxx-pch --disable-libunwind-exceptions --disable-werror --enable-__cxa_atexit --enable-cet=auto --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-default-ssp --enable-gnu-indirect-function --enable-gnu-unique-object --enable-install-libiberty --enable-languages=c,c++,ada,fortran,go,lto,objc,obj-c++ --enable-lto --enable-multilib --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-isl --with-linker-hash-style=gnu - Scaling Governor: intel_pstate powersave- GPU Compute Cores: 384- Python 3.7.3- l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Vulnerable: Clear buffers attempted no microcode; SMT vulnerable + meltdown: Mitigation of PTI + spec_store_bypass: Vulnerable + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.20.1Backend: RandomNVIDIA GeForce 845M - Intel Core i7-5500U50K100K150K200K250KSE +/- 1872.53, N = 3233147

Scikit-Learn

Scikit-learn is a Python module for machine learning Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 0.17.1NVIDIA GeForce 845M - Intel Core i7-5500U510152025SE +/- 0.25, N = 1519.41