pi4-8-python

ARMv8 Cortex-A72 testing with a BCM2835 Raspberry Pi 4 Model B Rev 1.4 and vc4drmfb on Ubuntu 20.10 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 2012223-FI-PI48PYTHO19
Jump To Table - Results

Statistics

Remove Outliers Before Calculating Averages

Graph Settings

Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table
Only show results matching title/arguments (delimit multiple options with a comma):


pi4-8-pythonOpenBenchmarking.orgPhoronix Test Suite 10.2.2ARMv8 Cortex-A72 @ 1.50GHz (4 Cores)BCM2835 Raspberry Pi 4 Model B Rev 1.48GB240GB 00SSD1vc4drmfbQ2770Ubuntu 20.105.8.0-1010-raspi (aarch64)X Server 1.20.9modesetting 1.20.9GCC 10.2.0ext42560x1440ProcessorMotherboardMemoryDiskGraphicsMonitorOSKernelDisplay ServerDisplay DriverCompilerFile-SystemScreen ResolutionPi4-8-python BenchmarksSystem Logs- snd_bcm2835.enable_compat_alsa=0 snd_bcm2835.enable_hdmi=1 snd_bcm2835.enable_headphones=1 - --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-objc-gc=auto --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto -v - Scaling Governor: cpufreq-dt performance- Python 3.8.6- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Vulnerable + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Vulnerable + srbds: Not affected + tsx_async_abort: Not affected

pi4-8-pythonpybench: Total For Average Test Timesnumpy: mlpack: scikit_svmscikit-learn: pyperformance: 2to3pyperformance: chaospyperformance: crypto_pyaespyperformance: django_templatepyperformance: floatpyperformance: gopyperformance: json_loadspyperformance: nbodypyperformance: pathlibpyperformance: pickle_pure_pythonpyperformance: python_startuppyperformance: raytracepyperformance: regex_compileARMv8 Cortex-A72448547.0166.0857.4091.825674973196101.291155562352.6449.32.59838OpenBenchmarking.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 TimesARMv8 Cortex-A7210002000300040005000SE +/- 7.31, N = 34485

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 BenchmarkARMv8 Cortex-A721122334455SE +/- 0.05, N = 347.01

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmARMv8 Cortex-A721530456075SE +/- 0.07, N = 366.08

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 0.22.1ARMv8 Cortex-A721326395265SE +/- 0.11, N = 357.41

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: 2to3ARMv8 Cortex-A720.40950.8191.22851.6382.0475SE +/- 0.00, N = 31.82

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosARMv8 Cortex-A72120240360480600SE +/- 0.58, N = 3567

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesARMv8 Cortex-A72110220330440550497

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateARMv8 Cortex-A7270140210280350SE +/- 1.00, N = 3319

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatARMv8 Cortex-A72130260390520650SE +/- 0.58, N = 3610

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: goARMv8 Cortex-A720.29030.58060.87091.16121.4515SE +/- 0.00, N = 31.29

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsARMv8 Cortex-A72306090120150115

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyARMv8 Cortex-A72120240360480600SE +/- 1.20, N = 3556

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibARMv8 Cortex-A7250100150200250235

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonARMv8 Cortex-A720.5941.1881.7822.3762.97SE +/- 0.01, N = 32.64

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupARMv8 Cortex-A721122334455SE +/- 0.03, N = 349.3

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceARMv8 Cortex-A720.58281.16561.74842.33122.914SE +/- 0.00, N = 32.59

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileARMv8 Cortex-A722004006008001000SE +/- 0.33, N = 3838


OpenBenchmarking.org Community User Comments

Post A Comment