2021-03-15-0311

Intel Core i7-8559U testing with a Intel NUC8BEB (BECFL357.86A.0077.2019.1127.1452 BIOS) and Intel Iris Plus 655 on Ubuntu 20.04 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 2103165-HA-2103154JN72
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2021-03-15 03:11
March 15 2021
  1 Hour, 45 Minutes
2021-03-16 08:00
March 16 2021
  27 Minutes
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2021-03-15-0311ProcessorMotherboardMemoryDiskChipsetGraphicsAudioMonitorNetworkOSKernelCompilerFile-SystemDesktopDisplay ServerScreen Resolution2021-03-15 03:112021-03-16 08:00ARMv8 Cortex-A72 @ 1.50GHz (4 Cores)BCM2835 Raspberry Pi 4 Model B Rev 1.48GB32GB USDUbuntu 20.045.4.0-1029-raspi (aarch64)GCC 9.3.0ext4Intel Core i7-8559U @ 4.50GHz (4 Cores / 8 Threads)Intel NUC8BEB (BECFL357.86A.0077.2019.1127.1452 BIOS)Intel Cannon Point-LP16GB1024GB TEAM T253X2001TIntel Iris Plus 655 (1200MHz)Realtek ALC233LC24RG50Intel I219-V + Intel Cannon Point-LP CNVi5.8.0-44-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.91920x1080OpenBenchmarking.orgKernel Details- 2021-03-15 03:11: snd_bcm2835.enable_compat_alsa=0 snd_bcm2835.enable_hdmi=1- 2021-03-16 08:00: Transparent Huge Pages: madviseProcessor Details- 2021-03-15 03:11: Scaling Governor: cpufreq-dt ondemand- 2021-03-16 08:00: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xe0 - Thermald 1.9.1Python Details- 2021-03-15 03:11: Python 3.8.5- 2021-03-16 08:00: Python 2.7.18 + Python 3.8.5Security Details- 2021-03-15 03:11: 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 - 2021-03-16 08:00: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Not affected

2021-03-15 03:11 vs. 2021-03-16 08:00 ComparisonPhoronix Test SuiteBaseline+4509.9%+4509.9%+9019.8%+9019.8%+13529.7%+13529.7%638.1%463.6%449.7%418%408.5%383.5%372.8%370.8%357.9%1070.2%django_templatepython_startupchaosfloatregex_compilecrypto_pyaesjson_loadsnbodyT.F.A.T.Tgo18039.5%raytrace17360.3%2to317137.6%pickle_pure_python14807.1%pathlibPyPerformancePyPerformancePyPerformancePyPerformancePyPerformancePyPerformancePyPerformancePyPerformancePyBenchPyPerformancePyPerformancePyPerformancePyPerformancePyPerformance2021-03-15 03:112021-03-16 08:00

2021-03-15-0311pybench: Total For Average Test Timespyperformance: gopyperformance: 2to3pyperformance: chaospyperformance: floatpyperformance: nbodypyperformance: pathlibpyperformance: raytracepyperformance: json_loadspyperformance: crypto_pyaespyperformance: regex_compilepyperformance: python_startuppyperformance: django_templatepyperformance: pickle_pure_python2021-03-15 03:112021-03-16 08:0044921.291.815475755652202.5211349883449.23272.6998123431299.511112018.844023.91031648.7344.3401OpenBenchmarking.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 Times2021-03-15 03:112021-03-16 08:0010002000300040005000SE +/- 23.79, N = 3SE +/- 1.33, N = 34492981
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test Times2021-03-15 03:112021-03-16 08:008001600240032004000Min: 4449 / Avg: 4492.33 / Max: 4531Min: 980 / Avg: 981.33 / Max: 984

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: go2021-03-15 03:112021-03-16 08:0050100150200250SE +/- 0.00, N = 3SE +/- 2.03, N = 31.29234.00
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: go2021-03-15 03:112021-03-16 08:004080120160200Min: 1.28 / Avg: 1.29 / Max: 1.29Min: 231 / Avg: 234.33 / Max: 238

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to32021-03-15 03:112021-03-16 08:0070140210280350SE +/- 0.00, N = 31.81312.00
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to32021-03-15 03:112021-03-16 08:0060120180240300Min: 1.81 / Avg: 1.81 / Max: 1.81

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaos2021-03-15 03:112021-03-16 08:00120240360480600SE +/- 0.58, N = 3SE +/- 0.26, N = 3547.099.5
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaos2021-03-15 03:112021-03-16 08:00100200300400500Min: 546 / Avg: 547 / Max: 548Min: 99 / Avg: 99.47 / Max: 99.9

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: float2021-03-15 03:112021-03-16 08:00120240360480600SE +/- 0.33, N = 3575111
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: float2021-03-15 03:112021-03-16 08:00100200300400500Min: 574 / Avg: 574.67 / Max: 575

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbody2021-03-15 03:112021-03-16 08:00120240360480600SE +/- 1.76, N = 3SE +/- 0.88, N = 3565120
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbody2021-03-15 03:112021-03-16 08:00100200300400500Min: 562 / Avg: 565.33 / Max: 568Min: 119 / Avg: 120.33 / Max: 122

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlib2021-03-15 03:112021-03-16 08:0050100150200250SE +/- 0.06, N = 3220.018.8
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlib2021-03-15 03:112021-03-16 08:004080120160200Min: 18.7 / Avg: 18.8 / Max: 18.9

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytrace2021-03-15 03:112021-03-16 08:00100200300400500SE +/- 0.00, N = 3SE +/- 0.58, N = 32.52440.00
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytrace2021-03-15 03:112021-03-16 08:0080160240320400Min: 2.52 / Avg: 2.52 / Max: 2.53Min: 439 / Avg: 440 / Max: 441

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loads2021-03-15 03:112021-03-16 08:00306090120150SE +/- 0.07, N = 3113.023.9
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loads2021-03-15 03:112021-03-16 08:0020406080100Min: 23.8 / Avg: 23.93 / Max: 24

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaes2021-03-15 03:112021-03-16 08:00110220330440550SE +/- 0.58, N = 3SE +/- 0.67, N = 3498103
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaes2021-03-15 03:112021-03-16 08:0090180270360450Min: 497 / Avg: 498 / Max: 499Min: 102 / Avg: 102.67 / Max: 104

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compile2021-03-15 03:112021-03-16 08:002004006008001000SE +/- 1.20, N = 3834164
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compile2021-03-15 03:112021-03-16 08:00150300450600750Min: 832 / Avg: 834.33 / Max: 836

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startup2021-03-15 03:112021-03-16 08:001122334455SE +/- 0.03, N = 3SE +/- 0.01, N = 349.208.73
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startup2021-03-15 03:112021-03-16 08:001020304050Min: 49.1 / Avg: 49.17 / Max: 49.2Min: 8.72 / Avg: 8.73 / Max: 8.74

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_template2021-03-15 03:112021-03-16 08:0070140210280350SE +/- 0.15, N = 3327.044.3
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_template2021-03-15 03:112021-03-16 08:0060120180240300Min: 44.1 / Avg: 44.3 / Max: 44.6

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_python2021-03-15 03:112021-03-16 08:0090180270360450SE +/- 0.01, N = 3SE +/- 1.45, N = 32.69401.00
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_python2021-03-15 03:112021-03-16 08:0070140210280350Min: 2.68 / Avg: 2.69 / Max: 2.7Min: 398 / Avg: 400.67 / Max: 403