pyperformance meteor lake

Intel Core Ultra 7 155H testing with a MTL Swift SFG14-72T Coral_MTH (V1.01 BIOS) and llvmpipe on Ubuntu 22.04 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 2406073-NE-PYPERFORM20
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pyperformance meteor lakeOpenBenchmarking.orgPhoronix Test SuiteIntel Core Ultra 7 155H @ 4.80GHz (16 Cores / 22 Threads)MTL Swift SFG14-72T Coral_MTH (V1.01 BIOS)Intel Device 7e7f8 x 2GB DRAM-6400MT/s Micron MT62F1G32D2DS-0261024GB Micron_2550_MTFDKBA1T0TGEllvmpipeIntel Device 7e28Intel Device 7e40Ubuntu 22.046.5.0-35-generic (x86_64)GNOME Shell 42.9X Server 1.21.1.44.5 Mesa 23.2.1-1ubuntu3.1~22.04.2 (LLVM 15.0.7 256 bits)1.3.255GCC 11.4.0ext41920x1200ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionPyperformance Meteor Lake BenchmarksSystem Logs- Transparent Huge Pages: madvise- Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x1c - Thermald 2.4.9 - Python 3.10.12- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + 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: Not affected; BHI: BHI_DIS_S + srbds: Not affected + tsx_async_abort: Not affected

abcResult OverviewPhoronix Test Suite100%101%102%104%105%PyPerformancePyPerformancePyPerformancePyPerformancePyPerformancePyPerformancePyPerformancePyPerformancePyPerformancePyPerformancePyPerformancePyPerformancePyPerformancePyPerformancePyPerformancePyPerformancePyPerformanceraytracexml_etreeasyncio_tcp_sslnbodygofloatregex_compilechaosjson_loadscrypto_pyaesgc_collectasync_tree_ioasyncio_websocketspython_startuppathlibpickle_pure_pythondjango_template

pyperformance meteor lakepyperformance: asyncio_tcp_sslpyperformance: async_tree_iopyperformance: python_startuppyperformance: xml_etreepyperformance: raytracepyperformance: asyncio_websocketspyperformance: gc_collectpyperformance: pickle_pure_pythonpyperformance: nbodypyperformance: django_templatepyperformance: gopyperformance: json_loadspyperformance: crypto_pyaespyperformance: chaospyperformance: floatpyperformance: regex_compilepyperformance: pathlibabc2.021.1712.548.231924286429294.43415516.175.567.667.911612.42.061.1812.449.130524085729291.63415416.275.967.967.411412.51.981.1812.550.330424286629392.334.11571676.368.668.711412.4OpenBenchmarking.org

PyPerformance

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: asyncio_tcp_sslcba0.46350.9271.39051.8542.31751.982.062.02

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: async_tree_iocba0.26550.5310.79651.0621.32751.181.181.17

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: python_startupcba369121512.512.412.5

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: xml_etreecba112233445550.349.148.2

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: raytracecba70140210280350304305319

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: asyncio_websocketscba50100150200250242240242

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: gc_collectcba2004006008001000866857864

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: pickle_pure_pythoncba60120180240300293292292

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: nbodycba2040608010092.391.694.4

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: django_templatecba81624324034.134.034.0

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: gocba306090120150157154155

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: json_loadscba4812162016.016.216.1

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: crypto_pyaescba2040608010076.375.975.5

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: chaoscba153045607568.667.967.6

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: floatcba153045607568.767.467.9

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: regex_compilecba306090120150114114116

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: pathlibcba369121512.412.512.4