Python Cinder Benchmarks

AMD Ryzen 9 5950X 16-Core testing with a ASUS ROG CROSSHAIR VIII HERO (WI-FI) (3302 BIOS) and AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB 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 2105050-PTS-PYTHONCI10
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  Test
  Duration
Cinder 5 May 2021
May 05 2021
  36 Minutes
Ciner 5 Mat 2021 JIT
May 05 2021
  35 Minutes
Python 3.8.6
May 05 2021
  34 Minutes
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  35 Minutes

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Cinder 5 May 2021

Kernel Notes: Transparent Huge Pages: madvise
Processor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa201009
Python Notes: Python 3.8.5+cinder
Security Notes: 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

Ciner 5 Mat 2021 JIT

Python 3.8.6

Processor: AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (3302 BIOS), Chipset: AMD Starship/Matisse, Memory: 32GB, Disk: 2000GB Corsair Force MP600, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200

OS: Ubuntu 20.10, Kernel: 5.12.0-051200daily20210503-generic (x86_64), Desktop: GNOME Shell 3.38.2, Display Server: X Server 1.20.9, OpenGL: 4.6 Mesa 21.2.0-devel (git-55fb941 2021-04-16 groovy-oibaf-ppa) (LLVM 12.0.0), Vulkan: 1.2.168, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 3840x2160

Kernel Notes: Transparent Huge Pages: madvise
Processor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa201009
Python Notes: Python 3.8.6
Security Notes: 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 Cinder BenchmarksOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads)ASUS ROG CROSSHAIR VIII HERO (WI-FI) (3302 BIOS)AMD Starship/Matisse32GB2000GB Corsair Force MP600AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz)AMD Navi 10 HDMI AudioASUS MG28URealtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200Ubuntu 20.105.12.0-051200daily20210503-generic (x86_64)GNOME Shell 3.38.2X Server 1.20.94.6 Mesa 21.2.0-devel (git-55fb941 2021-04-16 groovy-oibaf-ppa) (LLVM 12.0.0)1.2.168GCC 10.2.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionPython Cinder Benchmarks PerformanceSystem Logs- Transparent Huge Pages: madvise- Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa201009- Cinder 5 May 2021: Python 3.8.5+cinder- Ciner 5 Mat 2021 JIT: Python 3.8.5+cinder- Python 3.8.6: Python 3.8.6- 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

Cinder 5 May 2021Ciner 5 Mat 2021 JITPython 3.8.6Result OverviewPhoronix Test Suite100%103%106%109%112%Cython BenchmarkNumpy BenchmarkPyPerformance

Python Cinder Benchmarksnumpy: cython-bench: N-Queenspybench: Total For Average Test Timespyperformance: gopyperformance: 2to3pyperformance: chaospyperformance: floatpyperformance: nbodypyperformance: pathlibpyperformance: raytracepyperformance: json_loadspyperformance: crypto_pyaespyperformance: regex_compilepyperformance: python_startuppyperformance: django_templatepyperformance: pickle_pure_pythonCinder 5 May 2021Ciner 5 Mat 2021 JITPython 3.8.6505.3119.33384918322679.481.186.013.13411777.41215.6634.8310486.9819.48018322679.481.185.713.23401777.21225.6934.9312511.3917.43771718322879.681.485.713.234117.177.01225.6934.8312OpenBenchmarking.org

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 BenchmarkCinder 5 May 2021Ciner 5 Mat 2021 JITPython 3.8.6110220330440550SE +/- 1.20, N = 3SE +/- 5.56, N = 3SE +/- 2.44, N = 3505.31486.98511.39
OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkCinder 5 May 2021Ciner 5 Mat 2021 JITPython 3.8.690180270360450Min: 502.94 / Avg: 505.31 / Max: 506.84Min: 476.07 / Avg: 486.98 / Max: 494.34Min: 506.54 / Avg: 511.39 / Max: 514.19

Cython Benchmark

Cython provides a superset of Python that is geared to deliver C-like levels of performance. This test profile makes use of Cython's bundled benchmark tests and runs an N-Queens sample test as a simple benchmark to the system's Cython performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCython Benchmark 0.29.21Test: N-QueensCinder 5 May 2021Ciner 5 Mat 2021 JITPython 3.8.6510152025SE +/- 0.22, N = 3SE +/- 0.02, N = 3SE +/- 0.21, N = 319.3319.4817.44
OpenBenchmarking.orgSeconds, Fewer Is BetterCython Benchmark 0.29.21Test: N-QueensCinder 5 May 2021Ciner 5 Mat 2021 JITPython 3.8.6510152025Min: 18.95 / Avg: 19.33 / Max: 19.71Min: 19.44 / Avg: 19.48 / Max: 19.52Min: 17.17 / Avg: 17.44 / Max: 17.86

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 TimesCinder 5 May 2021Python 3.8.62004006008001000SE +/- 8.84, N = 3SE +/- 5.51, N = 3849717
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesCinder 5 May 2021Python 3.8.6150300450600750Min: 832 / Avg: 849.33 / Max: 861Min: 711 / Avg: 717 / Max: 728

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: goCinder 5 May 2021Ciner 5 Mat 2021 JITPython 3.8.64080120160200183183183

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to3Cinder 5 May 2021Ciner 5 Mat 2021 JITPython 3.8.650100150200250SE +/- 0.67, N = 3226226228
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to3Cinder 5 May 2021Ciner 5 Mat 2021 JITPython 3.8.64080120160200Min: 225 / Avg: 226.33 / Max: 227

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosCinder 5 May 2021Ciner 5 Mat 2021 JITPython 3.8.620406080100SE +/- 0.09, N = 3SE +/- 0.34, N = 3SE +/- 0.06, N = 379.479.479.6
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosCinder 5 May 2021Ciner 5 Mat 2021 JITPython 3.8.61530456075Min: 79.2 / Avg: 79.37 / Max: 79.5Min: 78.7 / Avg: 79.37 / Max: 79.8Min: 79.5 / Avg: 79.6 / Max: 79.7

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatCinder 5 May 2021Ciner 5 Mat 2021 JITPython 3.8.620406080100SE +/- 0.15, N = 3SE +/- 0.17, N = 3SE +/- 0.13, N = 381.181.181.4
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatCinder 5 May 2021Ciner 5 Mat 2021 JITPython 3.8.61632486480Min: 80.9 / Avg: 81.13 / Max: 81.4Min: 80.8 / Avg: 81.1 / Max: 81.4Min: 81.3 / Avg: 81.43 / Max: 81.7

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyCinder 5 May 2021Ciner 5 Mat 2021 JITPython 3.8.620406080100SE +/- 0.52, N = 3SE +/- 0.25, N = 3SE +/- 0.18, N = 386.085.785.7
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyCinder 5 May 2021Ciner 5 Mat 2021 JITPython 3.8.61632486480Min: 85.1 / Avg: 85.97 / Max: 86.9Min: 85.2 / Avg: 85.7 / Max: 86Min: 85.4 / Avg: 85.73 / Max: 86

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibCinder 5 May 2021Ciner 5 Mat 2021 JITPython 3.8.63691215SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 313.113.213.2
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibCinder 5 May 2021Ciner 5 Mat 2021 JITPython 3.8.648121620Min: 13.1 / Avg: 13.13 / Max: 13.2Min: 13.1 / Avg: 13.17 / Max: 13.2Min: 13.1 / Avg: 13.17 / Max: 13.2

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceCinder 5 May 2021Ciner 5 Mat 2021 JITPython 3.8.670140210280350SE +/- 1.15, N = 3341340341
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceCinder 5 May 2021Ciner 5 Mat 2021 JITPython 3.8.660120180240300Min: 339 / Avg: 341 / Max: 343

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsCinder 5 May 2021Ciner 5 Mat 2021 JITPython 3.8.648121620SE +/- 0.03, N = 317.017.017.1
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsCinder 5 May 2021Ciner 5 Mat 2021 JITPython 3.8.648121620Min: 17 / Avg: 17.07 / Max: 17.1

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesCinder 5 May 2021Ciner 5 Mat 2021 JITPython 3.8.620406080100SE +/- 0.10, N = 3SE +/- 0.21, N = 3SE +/- 0.15, N = 377.477.277.0
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesCinder 5 May 2021Ciner 5 Mat 2021 JITPython 3.8.61530456075Min: 77.2 / Avg: 77.4 / Max: 77.5Min: 76.9 / Avg: 77.2 / Max: 77.6Min: 76.8 / Avg: 77.03 / Max: 77.3

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileCinder 5 May 2021Ciner 5 Mat 2021 JITPython 3.8.6306090120150SE +/- 0.33, N = 3121122122
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileCinder 5 May 2021Ciner 5 Mat 2021 JITPython 3.8.620406080100Min: 121 / Avg: 121.33 / Max: 122

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupCinder 5 May 2021Ciner 5 Mat 2021 JITPython 3.8.61.28032.56063.84095.12126.4015SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 35.665.695.69
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupCinder 5 May 2021Ciner 5 Mat 2021 JITPython 3.8.6246810Min: 5.66 / Avg: 5.66 / Max: 5.67Min: 5.68 / Avg: 5.69 / Max: 5.69Min: 5.69 / Avg: 5.69 / Max: 5.69

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateCinder 5 May 2021Ciner 5 Mat 2021 JITPython 3.8.6816243240SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 334.834.934.8
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateCinder 5 May 2021Ciner 5 Mat 2021 JITPython 3.8.6714212835Min: 34.8 / Avg: 34.83 / Max: 34.9Min: 34.8 / Avg: 34.9 / Max: 35Min: 34.7 / Avg: 34.8 / Max: 34.9

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonCinder 5 May 2021Ciner 5 Mat 2021 JITPython 3.8.670140210280350SE +/- 0.58, N = 3SE +/- 0.33, N = 3310312312
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonCinder 5 May 2021Ciner 5 Mat 2021 JITPython 3.8.660120180240300Min: 311 / Avg: 312 / Max: 313Min: 311 / Avg: 311.67 / Max: 312

Cinder 5 May 2021

Kernel Notes: Transparent Huge Pages: madvise
Processor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa201009
Python Notes: Python 3.8.5+cinder
Security Notes: 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

Testing initiated at 5 May 2021 09:13 by user pts.

Ciner 5 Mat 2021 JIT

Kernel Notes: Transparent Huge Pages: madvise
Processor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa201009
Python Notes: Python 3.8.5+cinder
Security Notes: 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

Testing initiated at 5 May 2021 09:54 by user pts.

Python 3.8.6

Processor: AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (3302 BIOS), Chipset: AMD Starship/Matisse, Memory: 32GB, Disk: 2000GB Corsair Force MP600, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200

OS: Ubuntu 20.10, Kernel: 5.12.0-051200daily20210503-generic (x86_64), Desktop: GNOME Shell 3.38.2, Display Server: X Server 1.20.9, OpenGL: 4.6 Mesa 21.2.0-devel (git-55fb941 2021-04-16 groovy-oibaf-ppa) (LLVM 12.0.0), Vulkan: 1.2.168, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 3840x2160

Kernel Notes: Transparent Huge Pages: madvise
Processor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa201009
Python Notes: Python 3.8.6
Security Notes: 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

Testing initiated at 5 May 2021 11:20 by user pts.