AMD Ryzen 9 5900X python Benchmarks - Python 3 vs. Pyston 2.1

AMD Ryzen 9 5900X Python benchmarks by Michael Larabel.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2101246-HA-PYTHON59078
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Python 3.8.6
January 24 2021
  26 Minutes
Python 3.9.1
January 24 2021
  26 Minutes
Pyston 2.1.0
January 24 2021
  25 Minutes
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AMD Ryzen 9 5900X python Benchmarks - Python 3 vs. Pyston 2.1OpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 9 5900X 12-Core @ 3.70GHz (12 Cores / 24 Threads)ASUS ROG CROSSHAIR VIII HERO (3202 BIOS)AMD Starship/Matisse16GB1000GB Samsung SSD 980 PRO 1TBSapphire AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 6GB (1780/875MHz)AMD Navi 10 HDMI AudioASUS VP28URealtek RTL8125 2.5GbE + Intel I211Ubuntu 20.105.8.0-38-generic (x86_64)GNOME Shell 3.38.1X Server 1.20.9modesetting 1.20.94.6 Mesa 20.2.1 (LLVM 11.0.0)1.2.131GCC 10.2.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen ResolutionAMD Ryzen 9 5900X Python Benchmarks - Python 3 Vs. Pyston 2.1 PerformanceSystem Logs- Transparent Huge Pages: madvise- Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0xa201009- Python 3.8.6: Python 3.8.6- Python 3.9.1: Python 3.9.1 + Python 3.8.6- Pyston 2.1.0: Python 3.8.2 (heads/rel2.1:da378ef Jan 12 2021 15:46:12)[Pyston 2.1.0 GCC 9.3.0]- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + 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 AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Python 3.8.6Python 3.9.1Pyston 2.1.0Result OverviewPhoronix Test Suite100%129%158%188%217%PyPerformancePyPerformancePyPerformancePyPerformancePyPerformancePyPerformancePyPerformancePyBenchPyPerformancePyPerformancePyPerformancePyPerformancePyPerformancePyPerformancenbodychaosregex_compileraytracefloatgopickle_pure_pythonT.F.A.T.Tcrypto_pyaesdjango_template2to3pathlibpython_startupjson_loads

AMD Ryzen 9 5900X python Benchmarks - Python 3 vs. Pyston 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_pythonPython 3.8.6Python 3.9.1Pyston 2.1.072718823581.481.388.912.734717.477.01236.1834.731772218723480.981.288.812.734817.477.11236.1934.631546411417538.648.341.011.019817.951.166.26.3924.2198OpenBenchmarking.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 TimesPython 3.9.1Python 3.8.6Pyston 2.1.0160320480640800SE +/- 6.89, N = 3SE +/- 10.07, N = 3SE +/- 1.20, N = 3722727464

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: goPython 3.9.1Python 3.8.6Pyston 2.1.04080120160200SE +/- 0.33, N = 3187188114

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to3Python 3.9.1Python 3.8.6Pyston 2.1.050100150200250SE +/- 0.58, N = 3234235175

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosPython 3.9.1Python 3.8.6Pyston 2.1.020406080100SE +/- 0.09, N = 3SE +/- 0.25, N = 3SE +/- 0.07, N = 380.981.438.6

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatPython 3.9.1Python 3.8.6Pyston 2.1.020406080100SE +/- 0.13, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 381.281.348.3

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyPython 3.9.1Python 3.8.6Pyston 2.1.020406080100SE +/- 0.32, N = 3SE +/- 0.21, N = 3SE +/- 0.12, N = 388.888.941.0

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibPython 3.9.1Python 3.8.6Pyston 2.1.03691215SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 312.712.711.0

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytracePython 3.9.1Python 3.8.6Pyston 2.1.080160240320400SE +/- 0.58, N = 3348347198

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsPython 3.9.1Python 3.8.6Pyston 2.1.048121620SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 317.417.417.9

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesPython 3.9.1Python 3.8.6Pyston 2.1.020406080100SE +/- 0.15, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 377.177.051.1

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compilePython 3.9.1Python 3.8.6Pyston 2.1.0306090120150SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.10, N = 3123.0123.066.2

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupPython 3.9.1Python 3.8.6Pyston 2.1.0246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 36.196.186.39

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templatePython 3.9.1Python 3.8.6Pyston 2.1.0816243240SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 334.634.724.2

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonPython 3.9.1Python 3.8.6Pyston 2.1.070140210280350SE +/- 0.88, N = 3SE +/- 0.88, N = 3315317198