testpythonulysse

pythontest

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pytontestulysse
December 17 2020
  35 Minutes
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testpythonulysseOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 7 3800X 8-Core @ 3.90GHz (8 Cores / 16 Threads)Gigabyte X570 GAMING X (F10 BIOS)AMD Starship/Matisse2 x 16384 MB DDR4-2133MT/s CMW32GX4M2C3200C161000GB CT1000P1SSD8ASUS AMD Radeon RX 470/480/570/570X/580/580X/590 4GB (1070/2000MHz)AMD Ellesmere HDMI Audio2 x PL2492HRealtek RTL8111/8168/8411Debian 104.19.0-13-amd64 (x86_64)KDE Plasma 5.14.5X Server 1.20.4modesetting 1.20.44.5 Mesa 18.3.6 (LLVM 7.0.1)GCC 8.3.0 + Open64 PARSE ERRORext43840x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionTestpythonulysse BenchmarksSystem Logs- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -v - Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701013- Python 2.7.16 + Python 3.7.3- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

testpythonulyssepybench: Total For Average Test Timesnumenta-nab: Relative Entropycython-bench: scikit-learn: pyperformance: crypto_pyaesnumpy: mlpack: scikit_linearridgeregressionpytontestulysse96518.75822.76111.554100388.552.96OpenBenchmarking.org

PyBench

This test profile reports the total time of the different average timed test results from PyBench. PyBench reports average test times for different functions such as BuiltinFunctionCalls and NestedForLoops, with this total result providing a rough estimate as to Python's average performance on a given system. This test profile runs PyBench each time for 20 rounds. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test Timespytontestulysse2004006008001000SE +/- 5.03, N = 3965

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative Entropypytontestulysse510152025SE +/- 0.17, N = 1518.76

Cython benchmark

Stress benchmark tests to measure time consumed by cython code Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCython benchmark 0.27pytontestulysse510152025SE +/- 0.13, N = 322.76

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 0.22.1pytontestulysse3691215SE +/- 0.05, N = 311.55

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaespytontestulysse20406080100100

Numpy Benchmark

This is a test to obtain the general Numpy performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterNumpy Benchmarkpytontestulysse80160240320400SE +/- 2.00, N = 3388.55

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionpytontestulysse0.6661.3321.9982.6643.33SE +/- 0.17, N = 152.96