pyperf3

2 x AMD EPYC 9454 48-Core testing with a ASUS ESC8000A-E12 8x H100 PCIe 80GB on Ubuntu 22.04 hyperfusion.io

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Result
Identifier
Performance Per
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Date
Run
  Test
  Duration
pyperf3
July 10
  1 Hour, 5 Minutes
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pyperf3

Processor: 2 x AMD EPYC 9454 48-Core @ 2.75GHz (96 Cores / 192 Threads), Motherboard: ASUS ESC8000A-E12 K14PG-D24 (1002 BIOS), Chipset: AMD Device 14a4, Memory: 1520GB, Disk: 2 x 3841GB INTEL SSDPF2KX03 + 100000GB MR9560-16i, Graphics: ASUS NVIDIA H100 PCIe 80GB, Network: 2 x Intel X710 for 10GBASE-T

OS: Ubuntu 22.04, Kernel: 5.15.0-113-generic (x86_64), Display Driver: NVIDIA, OpenCL: OpenCL 3.0 CUDA 12.4.131, Vulkan: 1.3.255, Compiler: GCC 12.3.0, File-System: ext4, Screen Resolution: 1024x768

Kernel Notes: Transparent Huge Pages: madvise
Environment Notes: CXXFLAGS="-O3 -march=znver4 -mtune=znver4 -ftree-vectorize -fomit-frame-pointer -pipe" DEB_CFLAGS_APPEND="-O3 -march=znver4 -mtune=znver4 -ftree-vectorize -fomit-frame-pointer -pipe" CFLAGS="-O3 -march=znver4 -mtune=znver4 -ftree-vectorize -fomit-frame-pointer -pipe"
Processor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa10113e
Python Notes: Python 3.10.12
Security Notes: 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: Mitigation of safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines; IBPB: conditional; IBRS_FW; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected

pyperf3OpenBenchmarking.orgPhoronix Test Suite2 x AMD EPYC 9454 48-Core @ 2.75GHz (96 Cores / 192 Threads)ASUS ESC8000A-E12 K14PG-D24 (1002 BIOS)AMD Device 14a41520GB2 x 3841GB INTEL SSDPF2KX03 + 100000GB MR9560-16iASUS NVIDIA H100 PCIe 80GB2 x Intel X710 for 10GBASE-TUbuntu 22.045.15.0-113-generic (x86_64)NVIDIAOpenCL 3.0 CUDA 12.4.1311.3.255GCC 12.3.0ext41024x768ProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelDisplay DriverOpenCLVulkanCompilerFile-SystemScreen ResolutionPyperf3 BenchmarksSystem Logs- Transparent Huge Pages: madvise- CXXFLAGS="-O3 -march=znver4 -mtune=znver4 -ftree-vectorize -fomit-frame-pointer -pipe" DEB_CFLAGS_APPEND="-O3 -march=znver4 -mtune=znver4 -ftree-vectorize -fomit-frame-pointer -pipe" CFLAGS="-O3 -march=znver4 -mtune=znver4 -ftree-vectorize -fomit-frame-pointer -pipe" - Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa10113e - 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: Mitigation of safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines; IBPB: conditional; IBRS_FW; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected

pyperf3pyperformance: 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_pythonpyperf317773.985.111121.935356.11.0716.585.21.51138.561.9435.4495326OpenBenchmarking.org

PyPerformance

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: gopyperf34080120160200SE +/- 0.33, N = 3177

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: chaospyperf31632486480SE +/- 0.06, N = 373.9

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: floatpyperf320406080100SE +/- 0.17, N = 385.1

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: nbodypyperf320406080100SE +/- 0.67, N = 3111

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: pathlibpyperf3510152025SE +/- 0.00, N = 321.9

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: raytracepyperf380160240320400SE +/- 0.33, N = 3353

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: xml_etreepyperf31326395265SE +/- 0.06, N = 356.1

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: gc_collectpyperf30.24080.48160.72240.96321.204SE +/- 0.00, N = 31.07

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: json_loadspyperf348121620SE +/- 0.00, N = 316.5

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: crypto_pyaespyperf320406080100SE +/- 0.12, N = 385.2

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: async_tree_iopyperf30.33750.6751.01251.351.6875SE +/- 0.00, N = 31.5

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: regex_compilepyperf3306090120150SE +/- 0.00, N = 3113

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: python_startuppyperf3246810SE +/- 0.00, N = 38.56

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: asyncio_tcp_sslpyperf30.43650.8731.30951.7462.1825SE +/- 0.01, N = 31.94

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: django_templatepyperf3816243240SE +/- 0.03, N = 335.4

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: asyncio_websocketspyperf3110220330440550SE +/- 0.33, N = 3495

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: pickle_pure_pythonpyperf370140210280350SE +/- 0.67, N = 3326

pyperf3

Processor: 2 x AMD EPYC 9454 48-Core @ 2.75GHz (96 Cores / 192 Threads), Motherboard: ASUS ESC8000A-E12 K14PG-D24 (1002 BIOS), Chipset: AMD Device 14a4, Memory: 1520GB, Disk: 2 x 3841GB INTEL SSDPF2KX03 + 100000GB MR9560-16i, Graphics: ASUS NVIDIA H100 PCIe 80GB, Network: 2 x Intel X710 for 10GBASE-T

OS: Ubuntu 22.04, Kernel: 5.15.0-113-generic (x86_64), Display Driver: NVIDIA, OpenCL: OpenCL 3.0 CUDA 12.4.131, Vulkan: 1.3.255, Compiler: GCC 12.3.0, File-System: ext4, Screen Resolution: 1024x768

Kernel Notes: Transparent Huge Pages: madvise
Environment Notes: CXXFLAGS="-O3 -march=znver4 -mtune=znver4 -ftree-vectorize -fomit-frame-pointer -pipe" DEB_CFLAGS_APPEND="-O3 -march=znver4 -mtune=znver4 -ftree-vectorize -fomit-frame-pointer -pipe" CFLAGS="-O3 -march=znver4 -mtune=znver4 -ftree-vectorize -fomit-frame-pointer -pipe"
Processor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa10113e
Python Notes: Python 3.10.12
Security Notes: 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: Mitigation of safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines; IBPB: conditional; IBRS_FW; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 10 July 2024 19:37 by user sysman.