pyperf ryzen zen 4

AMD Ryzen 7 7840U testing with a Framework Laptop 13 (AMD Ryzen 7040 ) FRANMDCP07 (03.03 BIOS) and GFX1103_R1 512MB on Ubuntu 22.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2406074-NE-PYPERFRYZ26&grs&rdt.

pyperf ryzen zen 4ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionabcAMD Ryzen 7 7840U @ 5.13GHz (8 Cores / 16 Threads)Framework Laptop 13 (AMD Ryzen 7040 ) FRANMDCP07 (03.03 BIOS)AMD Device 14e82 x 8GB DRAM-5600MT/s A-DATA AD5S56008G-B512GB Western Digital WD PC SN740 SDDPNQD-512GGFX1103_R1 512MB (2700/2800MHz)AMD Device 1640MEDIATEK Device 0616Ubuntu 22.046.5.0-35-generic (x86_64)GNOME Shell 42.9X Server + Wayland4.6 Mesa 23.2.1-1ubuntu3.1~22.04.2 (LLVM 15.0.7 DRM 3.54)1.3.255GCC 11.4.0ext42256x1504OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseProcessor Details- Scaling Governor: amd-pstate-epp powersave (EPP: performance) - Platform Profile: balanced - CPU Microcode: 0xa704103 - ACPI Profile: balanced Python Details- Python 3.10.12Security Details- 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: Vulnerable: Safe RET no microcode + 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; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected

pyperf ryzen zen 4pyperformance: raytracepyperformance: nbodypyperformance: gc_collectpyperformance: asyncio_tcp_sslpyperformance: chaospyperformance: floatpyperformance: gopyperformance: crypto_pyaespyperformance: pickle_pure_pythonpyperformance: async_tree_iopyperformance: django_templatepyperformance: xml_etreepyperformance: pathlibpyperformance: regex_compilepyperformance: asyncio_websocketspyperformance: python_startuppyperformance: json_loadsabc29488.1873259.868.714169.42591.3528.744.816.991.63707.2213.128291.88681.976069.614268.52611.3528.744.716.891.23697.2213.128589.68531.9859.169.714068.92611.3428.94516.991.63707.2213.1OpenBenchmarking.org

PyPerformance

Benchmark: raytrace

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: raytraceabc60120180240300294282285

PyPerformance

Benchmark: nbody

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: nbodyabc2040608010088.191.889.6

PyPerformance

Benchmark: gc_collect

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: gc_collectabc2004006008001000873868853

PyPerformance

Benchmark: asyncio_tcp_ssl

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: asyncio_tcp_sslabc0.450.91.351.82.252.001.971.98

PyPerformance

Benchmark: chaos

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: chaosabc132639526559.860.059.1

PyPerformance

Benchmark: float

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: floatabc163248648068.769.669.7

PyPerformance

Benchmark: go

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: goabc306090120150141142140

PyPerformance

Benchmark: crypto_pyaes

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: crypto_pyaesabc153045607569.468.568.9

PyPerformance

Benchmark: pickle_pure_python

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: pickle_pure_pythonabc60120180240300259261261

PyPerformance

Benchmark: async_tree_io

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: async_tree_ioabc0.30380.60760.91141.21521.5191.351.351.34

PyPerformance

Benchmark: django_template

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: django_templateabc71421283528.728.728.9

PyPerformance

Benchmark: xml_etree

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: xml_etreeabc102030405044.844.745.0

PyPerformance

Benchmark: pathlib

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: pathlibabc4812162016.916.816.9

PyPerformance

Benchmark: regex_compile

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: regex_compileabc2040608010091.691.291.6

PyPerformance

Benchmark: asyncio_websockets

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: asyncio_websocketsabc80160240320400370369370

PyPerformance

Benchmark: python_startup

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: python_startupabc2468107.227.227.22

PyPerformance

Benchmark: json_loads

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: json_loadsabc369121513.113.113.1


Phoronix Test Suite v10.8.5