python-test-suite Running pts/numpy-1.2.1, pts/cython-bench-1.0.0, pts/pybench-1.1.3, pts/pyperformance-1.0.2, pts/numenta-nab-1.1.0, pts/mlpack-1.0.2, pts/scikit-learn-1.1.0 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2011180-KH-PYTHONTES39&sor&grs .
python-test-suite Processor Motherboard Memory Disk Graphics OS Kernel Desktop Display Server Display Driver OpenGL File-System Screen Resolution first-run second-run-no-fan ARMv7 rev 3 @ 1.50GHz (4 Cores) BCM2711 4096MB 31GB SD32G llvmpipe (LLVM 9.0.1 128 bits) Raspbian 10 5.4.72-v7l+ (armv7l) LXDE 0.10.0 X Server plymouth.ignore-serial-consoles modesetting 1.20.4 3.3 Mesa 19.3.2 ext4 1200x800 AMD Radeon R7 M370 5.4.77-v7l-s3588366+ (armv7l) 1.4 1440x900 OpenBenchmarking.org Kernel Details - first-run: snd_bcm2835.enable_compat_alsa=0 snd_bcm2835.enable_hdmi=1 snd_bcm2835.enable_headphones=1 Compiler Details - --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 Details - Scaling Governor: cpufreq-dt ondemand System Details - Python 2.7.16.
python-test-suite numenta-nab: Earthgecko Skyline numpy: Phoronix Test Suite v5.2.1 pybench: Total For Average Test Times pyperformance: chaos pyperformance: pathlib pyperformance: float pyperformance: 2to3 pyperformance: django_template pyperformance: crypto_pyaes pyperformance: python_startup pyperformance: raytrace pyperformance: nbody pyperformance: regex_compile pyperformance: pickle_pure_python pyperformance: json_loads pyperformance: go numenta-nab: Windowed Gaussian first-run second-run-no-fan 1866.60 25.82 5226 637 145 602 1.80 367 566 43.80 2.76 596 983 2.82 142 1.37 156.56 2962.19 26.18 5281 632 144 598 1.79 365 569 43.57 2.77 598 980 2.82 142 1.37 250.72 OpenBenchmarking.org
Numenta Anomaly Benchmark Detector: Earthgecko Skyline OpenBenchmarking.org Seconds, Fewer Is Better Numenta Anomaly Benchmark 1.1 Detector: Earthgecko Skyline first-run second-run-no-fan 600 1200 1800 2400 3000 SE +/- 10.31, N = 3 SE +/- 36.34, N = 3 1866.60 2962.19
Numpy Benchmark Phoronix Test Suite v5.2.1 OpenBenchmarking.org Score, More Is Better Numpy Benchmark Phoronix Test Suite v5.2.1 second-run-no-fan first-run 6 12 18 24 30 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 26.18 25.82
PyBench Total For Average Test Times OpenBenchmarking.org Milliseconds, Fewer Is Better PyBench 2018-02-16 Total For Average Test Times first-run second-run-no-fan 1100 2200 3300 4400 5500 SE +/- 6.39, N = 3 SE +/- 9.70, N = 3 5226 5281
PyPerformance Benchmark: chaos OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: chaos second-run-no-fan first-run 140 280 420 560 700 SE +/- 0.58, N = 3 SE +/- 0.88, N = 3 632 637
PyPerformance Benchmark: pathlib OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: pathlib second-run-no-fan first-run 30 60 90 120 150 SE +/- 0.33, N = 3 SE +/- 0.00, N = 3 144 145
PyPerformance Benchmark: float OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: float second-run-no-fan first-run 130 260 390 520 650 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 598 602
PyPerformance Benchmark: 2to3 OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: 2to3 second-run-no-fan first-run 0.405 0.81 1.215 1.62 2.025 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 1.79 1.80
PyPerformance Benchmark: django_template OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: django_template second-run-no-fan first-run 80 160 240 320 400 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 365 367
PyPerformance Benchmark: crypto_pyaes OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: crypto_pyaes first-run second-run-no-fan 120 240 360 480 600 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 566 569
PyPerformance Benchmark: python_startup OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: python_startup second-run-no-fan first-run 10 20 30 40 50 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 43.57 43.80
PyPerformance Benchmark: raytrace OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: raytrace first-run second-run-no-fan 0.6233 1.2466 1.8699 2.4932 3.1165 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 2.76 2.77
PyPerformance Benchmark: nbody OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: nbody first-run second-run-no-fan 130 260 390 520 650 SE +/- 1.20, N = 3 SE +/- 0.33, N = 3 596 598
PyPerformance Benchmark: regex_compile OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: regex_compile second-run-no-fan first-run 200 400 600 800 1000 SE +/- 1.53, N = 3 SE +/- 1.20, N = 3 980 983
PyPerformance Benchmark: pickle_pure_python OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: pickle_pure_python first-run second-run-no-fan 0.6345 1.269 1.9035 2.538 3.1725 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 2.82 2.82
PyPerformance Benchmark: json_loads OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: json_loads first-run second-run-no-fan 30 60 90 120 150 SE +/- 0.33, N = 3 SE +/- 0.00, N = 3 142 142
PyPerformance Benchmark: go OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: go first-run second-run-no-fan 0.3083 0.6166 0.9249 1.2332 1.5415 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 1.37 1.37
Numenta Anomaly Benchmark Detector: Windowed Gaussian OpenBenchmarking.org Seconds, Fewer Is Better Numenta Anomaly Benchmark 1.1 Detector: Windowed Gaussian first-run second-run-no-fan 50 100 150 200 250 SE +/- 0.41, N = 3 SE +/- 6.85, N = 6 156.56 250.72
Phoronix Test Suite v10.8.4