AMD Ryzen Threadripper PRO 5965WX 24-Cores testing with a ASUS Pro WS WRX80E-SAGE SE WIFI (1201 BIOS) and ASUS NVIDIA NV106 2GB on Ubuntu 23.10 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2311165-NE-PYT74848100 pyt - Phoronix Test Suite pyt AMD Ryzen Threadripper PRO 5965WX 24-Cores testing with a ASUS Pro WS WRX80E-SAGE SE WIFI (1201 BIOS) and ASUS NVIDIA NV106 2GB on Ubuntu 23.10 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2311165-NE-PYT74848100&sor .
pyt Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server Display Driver OpenGL Compiler File-System Screen Resolution a b c AMD Ryzen Threadripper PRO 5965WX 24-Cores @ 3.80GHz (24 Cores / 48 Threads) ASUS Pro WS WRX80E-SAGE SE WIFI (1201 BIOS) AMD Starship/Matisse 128GB 2048GB SOLIDIGM SSDPFKKW020X7 ASUS NVIDIA NV106 2GB AMD Starship/Matisse VA2431 2 x Intel X550 + Intel Wi-Fi 6 AX200 Ubuntu 23.10 6.5.0-10-generic (x86_64) GNOME Shell 45.0 X Server + Wayland nouveau 4.3 Mesa 23.2.1-1ubuntu3 GCC 13.2.0 ext4 1920x1080 OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise Processor Details - Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa008205 Python Details - Python 3.11.6 Security 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: Mitigation of 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
pyt 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 a b c 40.49 15.78 31.77 31.19 31.90 12.61 32.41 12.60 32.08 12.45 12.42 12.46 9.67 7.06 6.93 6.98 6.99 6.98 40.32 15.82 31.95 32.17 31.67 12.45 32.00 12.29 32.17 12.48 12.33 12.37 9.69 7.04 6.99 6.95 7.00 6.99 40.80 16.12 31.91 32.20 31.47 12.42 31.70 12.52 32.51 12.48 12.37 12.35 9.59 6.95 6.93 6.93 6.99 6.95 OpenBenchmarking.org
PyTorch Device: CPU - Batch Size: 1 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 c a b 9 18 27 36 45 40.80 40.49 40.32 MIN: 37.94 / MAX: 41.03 MIN: 36.35 / MAX: 40.84 MIN: 37.53 / MAX: 40.57
PyTorch Device: CPU - Batch Size: 1 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-152 c b a 4 8 12 16 20 16.12 15.82 15.78 MIN: 15.63 / MAX: 16.18 MIN: 15.34 / MAX: 15.9 MIN: 13.65 / MAX: 16
PyTorch Device: CPU - Batch Size: 16 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-50 b c a 7 14 21 28 35 31.95 31.91 31.77 MIN: 29.97 / MAX: 32.29 MIN: 30.03 / MAX: 32.14 MIN: 28.82 / MAX: 32.17
PyTorch Device: CPU - Batch Size: 32 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: ResNet-50 c b a 7 14 21 28 35 32.20 32.17 31.19 MIN: 30.06 / MAX: 32.51 MIN: 30.23 / MAX: 32.41 MIN: 26.98 / MAX: 32.29
PyTorch Device: CPU - Batch Size: 64 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: ResNet-50 a b c 7 14 21 28 35 31.90 31.67 31.47 MIN: 28.18 / MAX: 32.3 MIN: 29.72 / MAX: 31.94 MIN: 29.63 / MAX: 31.67
PyTorch Device: CPU - Batch Size: 16 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-152 a b c 3 6 9 12 15 12.61 12.45 12.42 MIN: 11.48 / MAX: 12.74 MIN: 12.05 / MAX: 12.53 MIN: 12.08 / MAX: 12.5
PyTorch Device: CPU - Batch Size: 256 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: ResNet-50 a b c 8 16 24 32 40 32.41 32.00 31.70 MIN: 30.42 / MAX: 32.66 MIN: 27.01 / MAX: 32.27 MIN: 29.83 / MAX: 32.04
PyTorch Device: CPU - Batch Size: 32 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: ResNet-152 a c b 3 6 9 12 15 12.60 12.52 12.29 MIN: 12.25 / MAX: 12.67 MIN: 12.14 / MAX: 12.59 MIN: 11.92 / MAX: 12.37
PyTorch Device: CPU - Batch Size: 512 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 512 - Model: ResNet-50 c b a 8 16 24 32 40 32.51 32.17 32.08 MIN: 28.02 / MAX: 32.79 MIN: 30.04 / MAX: 32.45 MIN: 30.03 / MAX: 32.31
PyTorch Device: CPU - Batch Size: 64 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: ResNet-152 c b a 3 6 9 12 15 12.48 12.48 12.45 MIN: 12.17 / MAX: 12.57 MIN: 12.14 / MAX: 12.58 MIN: 12.16 / MAX: 12.53
PyTorch Device: CPU - Batch Size: 256 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: ResNet-152 a c b 3 6 9 12 15 12.42 12.37 12.33 MIN: 12.09 / MAX: 12.48 MIN: 12.04 / MAX: 12.42 MIN: 12 / MAX: 12.45
PyTorch Device: CPU - Batch Size: 512 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 512 - Model: ResNet-152 a b c 3 6 9 12 15 12.46 12.37 12.35 MIN: 12.15 / MAX: 12.52 MIN: 12.07 / MAX: 12.44 MIN: 10.69 / MAX: 12.45
PyTorch Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l b a c 3 6 9 12 15 9.69 9.67 9.59 MIN: 9.49 / MAX: 9.73 MIN: 9.48 / MAX: 9.72 MIN: 9.39 / MAX: 9.62
PyTorch Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l a b c 2 4 6 8 10 7.06 7.04 6.95 MIN: 6.96 / MAX: 7.09 MIN: 6.94 / MAX: 7.07 MIN: 6.84 / MAX: 6.99
PyTorch Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l b c a 2 4 6 8 10 6.99 6.93 6.93 MIN: 6.14 / MAX: 7.09 MIN: 6.36 / MAX: 6.96 MIN: 6.83 / MAX: 6.96
PyTorch Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l a b c 2 4 6 8 10 6.98 6.95 6.93 MIN: 6.87 / MAX: 7.01 MIN: 6.85 / MAX: 6.98 MIN: 6.83 / MAX: 6.97
PyTorch Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l b c a 2 4 6 8 10 7.00 6.99 6.99 MIN: 6.89 / MAX: 7.03 MIN: 6.92 / MAX: 7.03 MIN: 6.47 / MAX: 7.04
PyTorch Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l b a c 2 4 6 8 10 6.99 6.98 6.95 MIN: 6.89 / MAX: 7.02 MIN: 6.87 / MAX: 7.01 MIN: 6.84 / MAX: 6.97
Phoronix Test Suite v10.8.5