suite4-python

ARMv7 rev 3 testing with a BCM2711 and V3D 4.2 on Raspbian 10 via the Phoronix Test Suite.

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November 21 2020
 
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Processor: ARMv7 rev 3 @ 1.50GHz (4 Cores), Motherboard: BCM2711, Memory: 8192MB, Disk: 16GB SD16G, Graphics: V3D 4.2, Monitor: DELL SE2417HG

OS: Raspbian 10, Kernel: 5.4.77-s3634235+ (armv7l), Desktop: LXDE 0.10.0, Display Server: X Server plymouth.ignore-serial-consoles, Display Driver: modesetting 1.20.4, OpenGL: 2.1 Mesa 19.3.2, File-System: ext4, Screen Resolution: 1920x1080

Kernel Notes: snd_bcm2835.enable_compat_alsa=0 snd_bcm2835.enable_hdmi=1
Compiler Notes: --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
Processor Notes: Scaling Governor: cpufreq-dt ondemand
System Notes: Python 2.7.16.

suite4-pythonOpenBenchmarking.orgPhoronix Test SuiteARMv7 rev 3 @ 1.50GHz (4 Cores)BCM27118192MB16GB SD16GV3D 4.2DELL SE2417HGRaspbian 105.4.77-s3634235+ (armv7l)LXDE 0.10.0X Server plymouth.ignore-serial-consolesmodesetting 1.20.42.1 Mesa 19.3.2ext41920x1080ProcessorMotherboardMemoryDiskGraphicsMonitorOSKernelDesktopDisplay ServerDisplay DriverOpenGLFile-SystemScreen ResolutionSuite4-python 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.

suite4-pythonnumpy: Phoronix Test Suite v5.2.1pybench: 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: Windowed Gaussiannumenta-nab: Earthgecko Skylinedefault24.5352251.431.916546126131502.861445841.0650.073822.98237.962357.68OpenBenchmarking.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 BenchmarkPhoronix Test Suite v5.2.1default612182430SE +/- 0.06, N = 324.53

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 Timesdefault11002200330044005500SE +/- 18.89, N = 35225

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: godefault0.32180.64360.96541.28721.609SE +/- 0.00, N = 31.43

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to3default0.42980.85961.28941.71922.149SE +/- 0.00, N = 31.91

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosdefault140280420560700SE +/- 0.33, N = 3654

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatdefault130260390520650SE +/- 0.58, N = 3612

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodydefault130260390520650SE +/- 2.65, N = 3613

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibdefault306090120150SE +/- 0.33, N = 3150

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytracedefault0.64351.2871.93052.5743.2175SE +/- 0.01, N = 32.86

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsdefault306090120150SE +/- 0.33, N = 3144

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesdefault130260390520650SE +/- 0.58, N = 3584

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compiledefault0.23850.4770.71550.9541.1925SE +/- 0.00, N = 31.06

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupdefault1122334455SE +/- 0.64, N = 350.07

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templatedefault80160240320400SE +/- 1.33, N = 3382

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythondefault0.67051.3412.01152.6823.3525SE +/- 0.00, N = 32.98

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: Windowed Gaussiandefault50100150200250SE +/- 3.35, N = 6237.96

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko Skylinedefault5001000150020002500SE +/- 6.57, N = 32357.68

17 Results Shown

Numpy Benchmark
PyBench
PyPerformance:
  go
  2to3
  chaos
  float
  nbody
  pathlib
  raytrace
  json_loads
  crypto_pyaes
  regex_compile
  python_startup
  django_template
  pickle_pure_python
Numenta Anomaly Benchmark:
  Windowed Gaussian
  Earthgecko Skyline

default

Processor: ARMv7 rev 3 @ 1.50GHz (4 Cores), Motherboard: BCM2711, Memory: 8192MB, Disk: 16GB SD16G, Graphics: V3D 4.2, Monitor: DELL SE2417HG

OS: Raspbian 10, Kernel: 5.4.77-s3634235+ (armv7l), Desktop: LXDE 0.10.0, Display Server: X Server plymouth.ignore-serial-consoles, Display Driver: modesetting 1.20.4, OpenGL: 2.1 Mesa 19.3.2, File-System: ext4, Screen Resolution: 1920x1080

Kernel Notes: snd_bcm2835.enable_compat_alsa=0 snd_bcm2835.enable_hdmi=1
Compiler Notes: --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
Processor Notes: Scaling Governor: cpufreq-dt ondemand
System Notes: Python 2.7.16.

Testing initiated at 21 November 2020 18:22 by user pi.