phoronix-python-suite-pi4b

ARMv7 Cortex-A72 testing on Raspbian 10 via the Phoronix Test Suite.

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testing python suite on the pi4b
November 21 2020
  7 Hours, 12 Minutes
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phoronix-python-suite-pi4bOpenBenchmarking.orgPhoronix Test SuiteARMv7 Cortex-A72 @ 1.50GHz (4 Cores)BCM2711 Raspberry Pi 4 Model B Rev 1.24096MB31GB SD32GRaspbian 105.4.77-v7l-S3612985+ (armv7l)LXDEX Server 1.20.43.3 Mesa 19.3.2 (LLVM 9.0.1 128 bits)GCC 8.3.0ext41920x1080ProcessorMotherboardMemoryDiskOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionPhoronix-python-suite-pi4b BenchmarksSystem Logs- snd_bcm2835.enable_compat_alsa=0 snd_bcm2835.enable_hdmi=1 - --build=arm-linux-gnueabihf --disable-libitm --disable-libquadmath --disable-libquadmath-support --disable-sjlj-exceptions --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++ --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-objc-gc=auto --enable-plugin --enable-shared --enable-threads=posix --host=arm-linux-gnueabihf --program-prefix=arm-linux-gnueabihf- --target=arm-linux-gnueabihf --with-arch=armv6 --with-default-libstdcxx-abi=new --with-float=hard --with-fpu=vfp --with-gcc-major-version-only --with-target-system-zlib -v - Scaling Governor: cpufreq-dt ondemand- Python 2.7.16 + Python 3.7.3

phoronix-python-suite-pi4bnumpy: pybench: Total For Average Test Timespyperformance: gopyperformance: 2to3pyperformance: chaospyperformance: floatpyperformance: nbodypyperformance: pathlibpyperformance: raytracepyperformance: json_loadspyperformance: crypto_pyaespyperformance: regex_compilepyperformance: python_startuppyperformance: django_templatepyperformance: pickle_pure_pythonnumenta-nab: EXPoSEnumenta-nab: Relative Entropynumenta-nab: Windowed Gaussiannumenta-nab: Earthgecko Skylinenumenta-nab: Bayesian Changepointscikit-learn: testing python suite on the pi4b26.3953111.391.86445926041452.7814257199143.53692.84910.828337.559168.5931942.493932.637194.348OpenBenchmarking.org

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 Benchmarktesting python suite on the pi4b612182430SE +/- 0.02, N = 326.39

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 Timestesting python suite on the pi4b11002200330044005500SE +/- 28.81, N = 35311

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: gotesting python suite on the pi4b0.31280.62560.93841.25121.564SE +/- 0.00, N = 31.39

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to3testing python suite on the pi4b0.4050.811.2151.622.025SE +/- 0.00, N = 31.8

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaostesting python suite on the pi4b140280420560700SE +/- 0.67, N = 3644

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floattesting python suite on the pi4b130260390520650592

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodytesting python suite on the pi4b130260390520650SE +/- 1.00, N = 3604

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibtesting python suite on the pi4b306090120150145

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytracetesting python suite on the pi4b0.62551.2511.87652.5023.1275SE +/- 0.01, N = 32.78

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadstesting python suite on the pi4b306090120150142

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaestesting python suite on the pi4b120240360480600SE +/- 0.33, N = 3571

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compiletesting python suite on the pi4b2004006008001000991

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startuptesting python suite on the pi4b1020304050SE +/- 0.03, N = 343.5

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templatetesting python suite on the pi4b80160240320400369

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythontesting python suite on the pi4b0.6391.2781.9172.5563.195SE +/- 0.01, N = 32.84

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: EXPoSEtesting python suite on the pi4b2004006008001000SE +/- 1.01, N = 3910.83

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative Entropytesting python suite on the pi4b70140210280350SE +/- 0.54, N = 3337.56

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed Gaussiantesting python suite on the pi4b4080120160200SE +/- 0.72, N = 3168.59

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko Skylinetesting python suite on the pi4b400800120016002000SE +/- 6.35, N = 31942.49

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian Changepointtesting python suite on the pi4b2004006008001000SE +/- 2.65, N = 3932.64

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 0.22.1testing python suite on the pi4b4080120160200SE +/- 0.24, N = 3194.35