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: raytracepyperformance: xml_etreepyperformance: asyncio_tcp_sslpyperformance: nbodypyperformance: gopyperformance: floatpyperformance: regex_compilepyperformance: chaospyperformance: json_loadspyperformance: crypto_pyaespyperformance: gc_collectpyperformance: async_tree_iopyperformance: asyncio_websocketspyperformance: python_startuppyperformance: pathlibpyperformance: pickle_pure_pythonpyperformance: django_templateabc31948.22.0294.415567.911667.616.175.58641.1724212.512.42923430549.12.0691.615467.411467.916.275.98571.1824012.412.52923430450.31.9892.315768.711468.61676.38661.1824212.512.429334.1OpenBenchmarking.org

PyPerformance

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: raytraceabc70140210280350319305304

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: xml_etreeabc112233445548.249.150.3

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: asyncio_tcp_sslabc0.46350.9271.39051.8542.31752.022.061.98

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: nbodyabc2040608010094.491.692.3

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: goabc306090120150155154157

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: floatabc153045607567.967.468.7

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: regex_compileabc306090120150116114114

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: chaosabc153045607567.667.968.6

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: json_loadsabc4812162016.116.216.0

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: crypto_pyaesabc2040608010075.575.976.3

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: gc_collectabc2004006008001000864857866

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: async_tree_ioabc0.26550.5310.79651.0621.32751.171.181.18

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: asyncio_websocketsabc50100150200250242240242

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: python_startupabc369121512.512.412.5

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: pathlibabc369121512.412.512.4

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: pickle_pure_pythonabc60120180240300292292293

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: django_templateabc81624324034.034.034.1