python-s3791004

ARMv7 rev 3 testing with a BCM2711 and V3D 4.2 on Raspbian 10 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 2011210-KH-PYTHONS3714
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Result
Identifier
Performance Per
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Date
Run
  Test
  Duration
ARMv7 rev 3
November 22 2020
 
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python-s3791004OpenBenchmarking.orgPhoronix Test SuiteARMv7 rev 3 @ 1.50GHz (4 Cores)BCM2711855MB16GB SC16GV3D 4.2Raspbian 105.4.75-v7l-s3791004+ (armv7l)LXDE 0.10.0X Server plymouth.ignore-serial-consolesmodesetting 1.20.42.1 Mesa 19.3.2ext41920x1080ProcessorMotherboardMemoryDiskGraphicsOSKernelDesktopDisplay ServerDisplay DriverOpenGLFile-SystemScreen ResolutionPython-s3791004 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-s3791004numpy: 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 SkylineARMv7 rev 330.6052611.371.796385955991462.7814257598243.873672.84174.702166.82OpenBenchmarking.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 v5.2.1ARMv7 rev 3714212835SE +/- 0.89, N = 330.60

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 TimesARMv7 rev 311002200330044005500SE +/- 32.19, N = 35261

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: goARMv7 rev 30.30830.61660.92491.23321.5415SE +/- 0.00, N = 31.37

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to3ARMv7 rev 30.40280.80561.20841.61122.014SE +/- 0.00, N = 31.79

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosARMv7 rev 3140280420560700SE +/- 1.20, N = 3638

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatARMv7 rev 3130260390520650SE +/- 0.58, N = 3595

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyARMv7 rev 3130260390520650SE +/- 1.45, N = 3599

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibARMv7 rev 3306090120150SE +/- 1.00, N = 3146

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceARMv7 rev 30.62551.2511.87652.5023.1275SE +/- 0.01, N = 32.78

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsARMv7 rev 3306090120150SE +/- 0.00, N = 3142

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesARMv7 rev 3120240360480600SE +/- 0.88, N = 3575

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileARMv7 rev 32004006008001000SE +/- 2.00, N = 3982

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupARMv7 rev 31020304050SE +/- 0.22, N = 343.87

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateARMv7 rev 380160240320400SE +/- 0.00, N = 3367

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonARMv7 rev 30.6391.2781.9172.5563.195SE +/- 0.00, 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: Windowed GaussianARMv7 rev 34080120160200SE +/- 1.53, N = 3174.70

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineARMv7 rev 35001000150020002500SE +/- 5.88, N = 32166.82

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