red-5950-pyperformance-2

AMD Ryzen 9 5950X 16-Core testing with a Gigabyte X570 AORUS PRO (F33 BIOS) and ASUS NVIDIA GeForce GT 710 2GB on Ubuntu 20.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2109134-IB-RED5950PY63.

red-5950-pyperformance-2ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerDisplay DriverVulkanCompilerFile-SystemScreen Resolutionred-5950AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads)Gigabyte X570 AORUS PRO (F33 BIOS)AMD Starship/Matisse2 x 16384 MB DDR4-3200MT/s F4-3200C14-16GTZ500GB Western Digital WDS500G2B0C-00PXH0 + 1000GB Western Digital WDS100T1X0E-00AFY0 + 2 x 512GB ADATA SU800 + 3 x 1000GB TOSHIBA HDWD110 + 1000GB Western Digital WD10EZEX-00BASUS NVIDIA GeForce GT 710 2GBNVIDIA GK208 HDMI/DPIntel I211Ubuntu 20.045.11.0-34-generic (x86_64)KDE PlasmaX Server 1.20.11NVIDIA1.2.175GCC 9.3.0xfs1024x768OpenBenchmarking.org- Transparent Huge Pages: madvise- Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0xa201009- Python 2.7.18 + Python 3.8.10- 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

red-5950-pyperformance-2pyperformance: gopyperformance: 2to3pyperformance: chaospyperformance: floatpyperformance: nbodypyperformance: pathlibpyperformance: raytracepyperformance: json_loadspyperformance: crypto_pyaespyperformance: regex_compilepyperformance: python_startuppyperformance: django_templatepyperformance: pickle_pure_pythonred-595019324584.881.090.812.335616.977.71276.8735.4329OpenBenchmarking.org

PyPerformance

Benchmark: go

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: gored-59504080120160200193

PyPerformance

Benchmark: 2to3

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to3red-595050100150200250SE +/- 0.33, N = 3245

PyPerformance

Benchmark: chaos

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosred-595020406080100SE +/- 0.49, N = 384.8

PyPerformance

Benchmark: float

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatred-595020406080100SE +/- 0.23, N = 381.0

PyPerformance

Benchmark: nbody

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyred-595020406080100SE +/- 0.21, N = 390.8

PyPerformance

Benchmark: pathlib

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibred-59503691215SE +/- 0.00, N = 312.3

PyPerformance

Benchmark: raytrace

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytracered-595080160240320400356

PyPerformance

Benchmark: json_loads

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsred-595048121620SE +/- 0.03, N = 316.9

PyPerformance

Benchmark: crypto_pyaes

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesred-595020406080100SE +/- 0.03, N = 377.7

PyPerformance

Benchmark: regex_compile

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compilered-5950306090120150127

PyPerformance

Benchmark: python_startup

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupred-5950246810SE +/- 0.02, N = 36.87

PyPerformance

Benchmark: django_template

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templatered-5950816243240SE +/- 0.06, N = 335.4

PyPerformance

Benchmark: pickle_pure_python

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonred-595070140210280350329


Phoronix Test Suite v10.8.4