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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.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2406076-PTS-PYPERFNE89
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June 07
  40 Minutes
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June 07
  14 Minutes
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June 07
  14 Minutes
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June 07
  14 Minutes
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pyperf newOpenBenchmarking.orgPhoronix Test SuiteIntel 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 13.2.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionPyperf New BenchmarksSystem Logs- Transparent Huge Pages: madvise- Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x123 - Thermald 2.5.6 - Python 3.12.3- 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

abcdResult OverviewPhoronix Test Suite100%101%102%103%104%PyPerformancePyPerformancePyPerformancePyPerformancePyPerformancePyPerformancePyPerformancePyPerformancePyPerformancePyPerformancePyPerformancePyPerformancePyPerformancePyPerformancePyPerformancePyPerformancePyPerformancenbodyasync_tree_iogc_collectraytracefloatdjango_templatejson_loadspython_startuppickle_pure_pythonasyncio_websocketsasyncio_tcp_sslxml_etreepathlibgoregex_compilecrypto_pyaeschaos

pyperf newpyperformance: gopyperformance: chaospyperformance: floatpyperformance: nbodypyperformance: pathlibpyperformance: raytracepyperformance: xml_etreepyperformance: gc_collectpyperformance: json_loadspyperformance: crypto_pyaespyperformance: async_tree_iopyperformance: regex_compilepyperformance: python_startuppyperformance: asyncio_tcp_sslpyperformance: django_templatepyperformance: asyncio_websocketspyperformance: pickle_pure_pythonabcd62.128.535.437.48.5013526.160110.334.851363.912.268117.017913762.128.535.638.68.51372660010.334.951563.712.26801717913661.928.535.937.58.471352661310.234.853263.712.267816.91791366228.535.838.88.513526.161710.334.852963.712.367817.1180137OpenBenchmarking.org

PyPerformance

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: godcba1428425670SE +/- 0.09, N = 362.061.962.162.1

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: chaosdcba714212835SE +/- 0.00, N = 328.528.528.528.5

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: floatdcba816243240SE +/- 0.12, N = 335.835.935.635.4

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: nbodydcba918273645SE +/- 0.26, N = 338.837.538.637.4

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: pathlibdcba246810SE +/- 0.01, N = 38.508.478.508.50

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: raytracedcba306090120150SE +/- 0.00, N = 3135135137135

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: xml_etreedcba612182430SE +/- 0.03, N = 326.126.026.026.1

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: gc_collectdcba130260390520650SE +/- 0.67, N = 3617613600601

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: json_loadsdcba3691215SE +/- 0.00, N = 310.310.210.310.3

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: crypto_pyaesdcba816243240SE +/- 0.00, N = 334.834.834.934.8

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: async_tree_iodcba120240360480600SE +/- 1.00, N = 3529532515513

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: regex_compiledcba1428425670SE +/- 0.10, N = 363.763.763.763.9

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: python_startupdcba3691215SE +/- 0.07, N = 312.312.212.212.2

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: asyncio_tcp_ssldcba150300450600750SE +/- 0.58, N = 3678678680681

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: django_templatedcba48121620SE +/- 0.03, N = 317.116.917.017.0

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: asyncio_websocketsdcba4080120160200SE +/- 0.00, N = 3180179179179

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: pickle_pure_pythondcba306090120150SE +/- 0.33, N = 3137136136137