5950tensor AMD Ryzen 9 5950X 16-Core testing with a MSI MEG X570 GODLIKE (MS-7C34) v1.0 (1.H0 BIOS) and eVGA NVIDIA GeForce GTX 1060 6GB on Gentoo 2.9 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2210205-QUAR-5950TEN11 .
5950tensor Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server Display Driver OpenCL Compiler File-System Screen Resolution AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads) MSI MEG X570 GODLIKE (MS-7C34) v1.0 (1.H0 BIOS) AMD Starship/Matisse 2 x 16 GB DDR4-3733MT/s TEAMGROUP-UD4-3600 3 x 1000GB Samsung SSD 980 PRO 1TB eVGA NVIDIA GeForce GTX 1060 6GB NVIDIA GP106 HD Audio DELL 2707WFP Realtek Device 2600 + Realtek Killer E3000 2.5GbE Gentoo 2.9 6.0.2-gentoo-harambe-edition (x86_64) KDE Plasma 5.26.1 X Server 1.21.1.4 NVIDIA 520.56.06 OpenCL 1.1 Mesa 22.2.1 + OpenCL 3.0 CUDA 11.8.87 GCC 12.2.1 20221008 + Clang 15.0.3 + LLVM 15.0.3 ext4 3840x1200 OpenBenchmarking.org - Transparent Huge Pages: madvise - Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa201016 - Python 3.10.8 - itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Vulnerable + spectre_v1: Vulnerable: __user pointer sanitization and usercopy barriers only; no swapgs barriers + spectre_v2: Vulnerable IBPB: disabled STIBP: disabled PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
5950tensor tensorflow: CPU - 16 - AlexNet tensorflow: CPU - 16 - GoogLeNet AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 73.75 54.27 OpenBenchmarking.org
TensorFlow Device: CPU - Batch Size: 16 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: AlexNet AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 16 32 48 64 80 SE +/- 0.11, N = 3 73.75
TensorFlow Device: CPU - Batch Size: 16 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: GoogLeNet AMD Ryzen 9 5950X 16-Core - eVGA NVIDIA GeForce GTX 12 24 36 48 60 SE +/- 0.18, N = 3 54.27
Phoronix Test Suite v10.8.5