Various open-source benchmarks by the Phoronix Test Suite v10.8.4.
Processor: AMD EPYC 9354P 32-Core @ 3.25GHz (32 Cores / 64 Threads), Motherboard: Supermicro H13SSL-N v1.01 (1.1a BIOS), Chipset: AMD Device 14a4, Memory: 384GB, Disk: 2 x 960GB MZXLR960HBHQ-000H3, Graphics: ASPEED 80GB (1755/1593MHz), Monitor: Acer V233HL, Network: 2 x Broadcom NetXtreme BCM5720 PCIe
OS: Ubuntu 22.04, Kernel: 5.19.0-41-generic (x86_64), Desktop: GNOME Shell 42.5, Display Server: X Server 1.21.1.4, Display Driver: NVIDIA 530.30.02, Compiler: GCC 11.3.0 + CUDA 12.1, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madvise
Processor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa101111
Python Notes: Python 3.10.6
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
This test profile reports the total time of the different average timed test results from PyBench. PyBench reports average test times for different functions such as BuiltinFunctionCalls and NestedForLoops, with this total result providing a rough estimate as to Python's average performance on a given system. This test profile runs PyBench each time for 20 rounds. Learn more via the OpenBenchmarking.org test page.
AI Benchmark Alpha is a Python library for evaluating artificial intelligence (AI) performance on diverse hardware platforms and relies upon the TensorFlow machine learning library. Learn more via the OpenBenchmarking.org test page.
Device AI Score
2023-05-19 11:34: The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'warnings'. Did you mean: 'hanning'?
Device Training Score
2023-05-19 11:34: The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'warnings'. Did you mean: 'hanning'?
Device Inference Score
2023-05-19 11:34: The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'warnings'. Did you mean: 'hanning'?
Processor: AMD EPYC 9354P 32-Core @ 3.25GHz (32 Cores / 64 Threads), Motherboard: Supermicro H13SSL-N v1.01 (1.1a BIOS), Chipset: AMD Device 14a4, Memory: 384GB, Disk: 2 x 960GB MZXLR960HBHQ-000H3, Graphics: ASPEED 80GB (1755/1593MHz), Monitor: Acer V233HL, Network: 2 x Broadcom NetXtreme BCM5720 PCIe
OS: Ubuntu 22.04, Kernel: 5.19.0-41-generic (x86_64), Desktop: GNOME Shell 42.5, Display Server: X Server 1.21.1.4, Display Driver: NVIDIA 530.30.02, Compiler: GCC 11.3.0 + CUDA 12.1, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madvise
Processor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa101111
Python Notes: Python 3.10.6
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 19 May 2023 11:34 by user ogdentech.