pyperf new

Intel Core i9-14900K testing with a ASUS PRIME Z790-P WIFI (1656 BIOS) and XFX AMD Radeon RX 7900 XTX 24GB on Ubuntu 24.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2406076-PTS-PYPERFNE89&grr&rdt.

pyperf newProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionabcdIntel Core i9-14900K @ 5.70GHz (24 Cores / 32 Threads)ASUS PRIME Z790-P WIFI (1656 BIOS)Intel Raptor Lake-S PCH2 x 16GB DDR5-6000MT/s Corsair CMK32GX5M2B6000C36Western Digital WD_BLACK SN850X 2000GBXFX AMD Radeon RX 7900 XTX 24GBRealtek ALC897ASUS VP28UUbuntu 24.046.8.0-31-generic (x86_64)GNOME Shell 46.0X Server + Wayland4.6 Mesa 24.0.5-1ubuntu1 (LLVM 17.0.6 DRM 3.57)GCC 13.2.0ext43840x2160OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseProcessor Details- Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x123 - Thermald 2.5.6 Python Details- Python 3.12.3Security Details- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Mitigation of Clear Register File + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; RSB filling; PBRSB-eIBRS: SW sequence; BHI: BHI_DIS_S + srbds: Not affected + tsx_async_abort: Not affected

pyperf newpyperformance: asyncio_tcp_sslpyperformance: xml_etreepyperformance: python_startuppyperformance: async_tree_iopyperformance: gc_collectpyperformance: asyncio_websocketspyperformance: pickle_pure_pythonpyperformance: django_templatepyperformance: nbodypyperformance: pathlibpyperformance: floatpyperformance: crypto_pyaespyperformance: regex_compilepyperformance: raytracepyperformance: gopyperformance: chaospyperformance: json_loadsabcd68126.112.251360117913717.037.48.5035.434.863.913562.128.510.36802612.25156001791361738.68.535.634.963.713762.128.510.36782612.253261317913616.937.58.4735.934.863.713561.928.510.267826.112.352961718013717.138.88.535.834.863.71356228.510.3OpenBenchmarking.org

PyPerformance

Benchmark: asyncio_tcp_ssl

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: asyncio_tcp_sslabcd150300450600750SE +/- 0.58, N = 3681680678678

PyPerformance

Benchmark: xml_etree

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: xml_etreeabcd612182430SE +/- 0.03, N = 326.126.026.026.1

PyPerformance

Benchmark: python_startup

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: python_startupabcd3691215SE +/- 0.07, N = 312.212.212.212.3

PyPerformance

Benchmark: async_tree_io

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: async_tree_ioabcd120240360480600SE +/- 1.00, N = 3513515532529

PyPerformance

Benchmark: gc_collect

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: gc_collectabcd130260390520650SE +/- 0.67, N = 3601600613617

PyPerformance

Benchmark: asyncio_websockets

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: asyncio_websocketsabcd4080120160200SE +/- 0.00, N = 3179179179180

PyPerformance

Benchmark: pickle_pure_python

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: pickle_pure_pythonabcd306090120150SE +/- 0.33, N = 3137136136137

PyPerformance

Benchmark: django_template

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: django_templateabcd48121620SE +/- 0.03, N = 317.017.016.917.1

PyPerformance

Benchmark: nbody

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: nbodyabcd918273645SE +/- 0.26, N = 337.438.637.538.8

PyPerformance

Benchmark: pathlib

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: pathlibabcd246810SE +/- 0.01, N = 38.508.508.478.50

PyPerformance

Benchmark: float

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: floatabcd816243240SE +/- 0.12, N = 335.435.635.935.8

PyPerformance

Benchmark: crypto_pyaes

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: crypto_pyaesabcd816243240SE +/- 0.00, N = 334.834.934.834.8

PyPerformance

Benchmark: regex_compile

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: regex_compileabcd1428425670SE +/- 0.10, N = 363.963.763.763.7

PyPerformance

Benchmark: raytrace

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: raytraceabcd306090120150SE +/- 0.00, N = 3135137135135

PyPerformance

Benchmark: go

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: goabcd1428425670SE +/- 0.09, N = 362.162.161.962.0

PyPerformance

Benchmark: chaos

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: chaosabcd714212835SE +/- 0.00, N = 328.528.528.528.5

PyPerformance

Benchmark: json_loads

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: json_loadsabcd3691215SE +/- 0.00, N = 310.310.310.210.3


Phoronix Test Suite v10.8.5