unixa2

ARMv7 Cortex-A53 testing with a BCM2835 Raspberry Pi 3 Model B Plus Rev 1.3 and BCM2708 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 2011094-FI-UNIXA201616
Jump To Table - Results

Statistics

Remove Outliers Before Calculating Averages

Graph Settings

Prefer Vertical Bar Graphs

Table

Show Detailed System Result Table

Run Management

Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
python-downscaled
November 09 2020
  5 Hours, 47 Minutes
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):


unixa2OpenBenchmarking.orgPhoronix Test SuiteARMv7 Cortex-A53 @ 1.40GHz (4 Cores)BCM2835 Raspberry Pi 3 Model B Plus Rev 1.3924MB16GB Ultra + 16GB SC16GBCM2708Raspbian 105.4.74-v7-s3242472+ (armv7l)LXDEX Server 1.20.4GCC 8.3.0ext4720x480ProcessorMotherboardMemoryDiskGraphicsOSKernelDesktopDisplay ServerCompilerFile-SystemScreen ResolutionUnixa2 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

unixa2cython-bench: mlpack: scikit_svmnumenta-nab: Bayesian Changepointnumpy: pybench: Total For Average Test Timespyperformance: 2to3scikit-learn: python-downscaled263.486102.431731.39820.14143713.42862.534OpenBenchmarking.org

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 0.27python-downscaled60120180240300SE +/- 0.18, N = 3263.49

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmpython-downscaled20406080100SE +/- 0.05, N = 3102.43

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: Bayesian Changepointpython-downscaled400800120016002000SE +/- 3.33, N = 31731.40

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 Benchmarkpython-downscaled510152025SE +/- 0.04, N = 320.14

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 Timespython-downscaled3K6K9K12K15KSE +/- 9.35, N = 314371

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: 2to3python-downscaled0.76951.5392.30853.0783.8475SE +/- 0.00, N = 33.42

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 0.22.1python-downscaled2004006008001000SE +/- 0.46, N = 3862.53