ryzen 5950x pytorch AMD Ryzen 9 5950X 16-Core testing with a MSI B550 GAMING GEN3 (MS-7B86) v5.0 (P.91 BIOS) and XFX AMD Radeon RX 6750 XT 12GB on Ubuntu 24.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2501273-NE-RYZEN595083&gru .
ryzen 5950x pytorch Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server OpenGL OpenCL Compiler File-System Screen Resolution AMD Ryzen 9 5950X 16-Core - XFX AMD Radeon RX 6750 XT AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads) MSI B550 GAMING GEN3 (MS-7B86) v5.0 (P.91 BIOS) AMD Starship/Matisse 16 + 8 + 16 + 8 DDR4-3600MT/s 2000GB CT2000P3PSSD8 XFX AMD Radeon RX 6750 XT 12GB AMD Navi 21/23 XV271U M3 Realtek RTL8111/8168/8211/8411 + Intel Wi-Fi 6 AX200 Ubuntu 24.04 6.8.0-49-generic (x86_64) GNOME Shell 46.0 X Server + Wayland 4.6 Mesa 24.2.0-devel (LLVM 18.1.7 DRM 3.58) OpenCL 2.1 AMD-APP (3625.0) GCC 13.2.0 ext4 2560x1440 OpenBenchmarking.org - Transparent Huge Pages: madvise - Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa201210 - Python 3.12.3 - gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + 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; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected
ryzen 5950x pytorch pytorch: CPU - 1 - ResNet-50 pytorch: CPU - 1 - ResNet-152 pytorch: CPU - 16 - ResNet-50 pytorch: CPU - 32 - ResNet-50 pytorch: CPU - 64 - ResNet-50 pytorch: CPU - 16 - ResNet-152 pytorch: CPU - 256 - ResNet-50 pytorch: CPU - 32 - ResNet-152 pytorch: CPU - 512 - ResNet-50 pytorch: CPU - 64 - ResNet-152 pytorch: CPU - 256 - ResNet-152 pytorch: CPU - 512 - ResNet-152 pytorch: CPU - 1 - Efficientnet_v2_l pytorch: CPU - 16 - Efficientnet_v2_l pytorch: CPU - 32 - Efficientnet_v2_l pytorch: CPU - 64 - Efficientnet_v2_l pytorch: CPU - 256 - Efficientnet_v2_l pytorch: CPU - 512 - Efficientnet_v2_l AMD Ryzen 9 5950X 16-Core - XFX AMD Radeon RX 6750 XT 43.31 17.52 33.47 33.44 33.69 13.07 34.13 13.15 33.66 13.15 13.18 13.24 10.77 7.84 7.85 7.74 7.75 7.74 OpenBenchmarking.org
PyTorch Device: CPU - Batch Size: 1 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 AMD Ryzen 9 5950X 16-Core - XFX AMD Radeon RX 6750 XT 10 20 30 40 50 SE +/- 0.05, N = 3 43.31 MIN: 35.95 / MAX: 44.48
PyTorch Device: CPU - Batch Size: 1 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 1 - Model: ResNet-152 AMD Ryzen 9 5950X 16-Core - XFX AMD Radeon RX 6750 XT 4 8 12 16 20 SE +/- 0.18, N = 5 17.52 MIN: 16.26 / MAX: 18.39
PyTorch Device: CPU - Batch Size: 16 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 16 - Model: ResNet-50 AMD Ryzen 9 5950X 16-Core - XFX AMD Radeon RX 6750 XT 8 16 24 32 40 SE +/- 0.15, N = 3 33.47 MIN: 30.88 / MAX: 34.14
PyTorch Device: CPU - Batch Size: 32 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 32 - Model: ResNet-50 AMD Ryzen 9 5950X 16-Core - XFX AMD Radeon RX 6750 XT 8 16 24 32 40 SE +/- 0.06, N = 3 33.44 MIN: 31.16 / MAX: 34.01
PyTorch Device: CPU - Batch Size: 64 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 64 - Model: ResNet-50 AMD Ryzen 9 5950X 16-Core - XFX AMD Radeon RX 6750 XT 8 16 24 32 40 SE +/- 0.35, N = 3 33.69 MIN: 28.74 / MAX: 34.58
PyTorch Device: CPU - Batch Size: 16 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 16 - Model: ResNet-152 AMD Ryzen 9 5950X 16-Core - XFX AMD Radeon RX 6750 XT 3 6 9 12 15 SE +/- 0.06, N = 3 13.07 MIN: 12.02 / MAX: 13.33
PyTorch Device: CPU - Batch Size: 256 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 256 - Model: ResNet-50 AMD Ryzen 9 5950X 16-Core - XFX AMD Radeon RX 6750 XT 8 16 24 32 40 SE +/- 0.17, N = 3 34.13 MIN: 31.25 / MAX: 34.8
PyTorch Device: CPU - Batch Size: 32 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 32 - Model: ResNet-152 AMD Ryzen 9 5950X 16-Core - XFX AMD Radeon RX 6750 XT 3 6 9 12 15 SE +/- 0.05, N = 3 13.15 MIN: 12.1 / MAX: 13.38
PyTorch Device: CPU - Batch Size: 512 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 512 - Model: ResNet-50 AMD Ryzen 9 5950X 16-Core - XFX AMD Radeon RX 6750 XT 8 16 24 32 40 SE +/- 0.08, N = 3 33.66 MIN: 30.95 / MAX: 34.3
PyTorch Device: CPU - Batch Size: 64 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 64 - Model: ResNet-152 AMD Ryzen 9 5950X 16-Core - XFX AMD Radeon RX 6750 XT 3 6 9 12 15 SE +/- 0.04, N = 3 13.15 MIN: 12.16 / MAX: 13.34
PyTorch Device: CPU - Batch Size: 256 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 256 - Model: ResNet-152 AMD Ryzen 9 5950X 16-Core - XFX AMD Radeon RX 6750 XT 3 6 9 12 15 SE +/- 0.04, N = 3 13.18 MIN: 12.08 / MAX: 13.34
PyTorch Device: CPU - Batch Size: 512 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 512 - Model: ResNet-152 AMD Ryzen 9 5950X 16-Core - XFX AMD Radeon RX 6750 XT 3 6 9 12 15 SE +/- 0.14, N = 3 13.24 MIN: 10.7 / MAX: 13.64
PyTorch Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l AMD Ryzen 9 5950X 16-Core - XFX AMD Radeon RX 6750 XT 3 6 9 12 15 SE +/- 0.01, N = 3 10.77 MIN: 10.22 / MAX: 10.88
PyTorch Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l AMD Ryzen 9 5950X 16-Core - XFX AMD Radeon RX 6750 XT 2 4 6 8 10 SE +/- 0.06, N = 3 7.84 MIN: 7.4 / MAX: 8.03
PyTorch Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l AMD Ryzen 9 5950X 16-Core - XFX AMD Radeon RX 6750 XT 2 4 6 8 10 SE +/- 0.07, N = 3 7.85 MIN: 7.4 / MAX: 8.04
PyTorch Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l AMD Ryzen 9 5950X 16-Core - XFX AMD Radeon RX 6750 XT 2 4 6 8 10 SE +/- 0.03, N = 3 7.74 MIN: 7.32 / MAX: 7.85
PyTorch Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l AMD Ryzen 9 5950X 16-Core - XFX AMD Radeon RX 6750 XT 2 4 6 8 10 SE +/- 0.01, N = 3 7.75 MIN: 7.31 / MAX: 7.83
PyTorch Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l AMD Ryzen 9 5950X 16-Core - XFX AMD Radeon RX 6750 XT 2 4 6 8 10 SE +/- 0.03, N = 3 7.74 MIN: 7.28 / MAX: 7.86
Phoronix Test Suite v10.8.5