AMD Ryzen Threadripper PRO 5965WX 24-Cores testing with a ASUS Pro WS WRX80E-SAGE SE WIFI (1003 BIOS) and ASUS NVIDIA NV106 2GB on Ubuntu 22.04 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 2209013-NE-VINO6110802
vino
AMD Ryzen Threadripper PRO 5965WX 24-Cores testing with a ASUS Pro WS WRX80E-SAGE SE WIFI (1003 BIOS) and ASUS NVIDIA NV106 2GB on Ubuntu 22.04 via the Phoronix Test Suite.
,,"A","B","C","D"
Processor,,AMD Ryzen Threadripper PRO 5965WX 24-Cores @ 3.80GHz (24 Cores / 48 Threads),AMD Ryzen Threadripper PRO 5965WX 24-Cores @ 3.80GHz (24 Cores / 48 Threads),AMD Ryzen Threadripper PRO 5965WX 24-Cores @ 3.80GHz (24 Cores / 48 Threads),AMD Ryzen Threadripper PRO 5965WX 24-Cores @ 3.80GHz (24 Cores / 48 Threads)
Motherboard,,ASUS Pro WS WRX80E-SAGE SE WIFI (1003 BIOS),ASUS Pro WS WRX80E-SAGE SE WIFI (1003 BIOS),ASUS Pro WS WRX80E-SAGE SE WIFI (1003 BIOS),ASUS Pro WS WRX80E-SAGE SE WIFI (1003 BIOS)
Chipset,,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse
Memory,,128GB,128GB,128GB,128GB
Disk,,1000GB Western Digital WDS100T1X0E-00AFY0,1000GB Western Digital WDS100T1X0E-00AFY0,1000GB Western Digital WDS100T1X0E-00AFY0,1000GB Western Digital WDS100T1X0E-00AFY0
Graphics,,ASUS NVIDIA NV106 2GB,ASUS NVIDIA NV106 2GB,ASUS NVIDIA NV106 2GB,ASUS NVIDIA NV106 2GB
Audio,,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse
Monitor,,VA2431,VA2431,VA2431,VA2431
Network,,2 x Intel 10G X550T + Intel Wi-Fi 6 AX200,2 x Intel 10G X550T + Intel Wi-Fi 6 AX200,2 x Intel 10G X550T + Intel Wi-Fi 6 AX200,2 x Intel 10G X550T + Intel Wi-Fi 6 AX200
OS,,Ubuntu 22.04,Ubuntu 22.04,Ubuntu 22.04,Ubuntu 22.04
Kernel,,5.19.0-051900daily20220809-generic (x86_64),5.19.0-051900daily20220809-generic (x86_64),5.19.0-051900daily20220809-generic (x86_64),5.19.0-051900daily20220809-generic (x86_64)
Desktop,,GNOME Shell 42.2,GNOME Shell 42.2,GNOME Shell 42.2,GNOME Shell 42.2
Display Server,,X Server 1.21.1.3 + Wayland,X Server 1.21.1.3 + Wayland,X Server 1.21.1.3 + Wayland,X Server 1.21.1.3 + Wayland
Display Driver,,nouveau,nouveau,nouveau,nouveau
OpenGL,,4.3 Mesa 22.0.1,4.3 Mesa 22.0.1,4.3 Mesa 22.0.1,4.3 Mesa 22.0.1
Vulkan,,1.2.204,1.2.204,1.2.204,1.2.204
Compiler,,GCC 11.2.0,GCC 11.2.0,GCC 11.2.0,GCC 11.2.0
File-System,,ext4,ext4,ext4,ext4
Screen Resolution,,1920x1080,1920x1080,1920x1080,1920x1080
,,"A","B","C","D"
"7-Zip Compression - Test: Compression Rating (MIPS)",HIB,198562,200497,199043,200015
"7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,222201,223222,223558,223348
"GraphicsMagick - Operation: Swirl (Iterations/min)",HIB,1320,1314,1316,1307
"GraphicsMagick - Operation: Rotate (Iterations/min)",HIB,840,820,826,821
"GraphicsMagick - Operation: Sharpen (Iterations/min)",HIB,340,341,341,341
"GraphicsMagick - Operation: Enhanced (Iterations/min)",HIB,624,625,623,622
"GraphicsMagick - Operation: Resizing (Iterations/min)",HIB,2284,2298,2302,2308
"GraphicsMagick - Operation: Noise-Gaussian (Iterations/min)",HIB,629,623,624,619
"GraphicsMagick - Operation: HWB Color Space (Iterations/min)",HIB,1259,1207,1207,1165
"Mobile Neural Network - Model: nasnet (ms)",LIB,13.916,13.721,13.678,13.977
"Mobile Neural Network - Model: mobilenetV3 (ms)",LIB,2.268,2.3,2.267,2.304
"Mobile Neural Network - Model: squeezenetv1.1 (ms)",LIB,3.843,3.967,3.615,3.668
"Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,18.927,19.113,17.671,18.61
"Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,6.068,5.759,6.348,6.029
"Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,3.985,3.809,3.974,4.15
"Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,2.795,2.674,2.839,2.759
"Mobile Neural Network - Model: inception-v3 (ms)",LIB,22.430,22.416,22.82,23.404
"Natron - Input: Spaceship (FPS)",HIB,6.5,6.4,6.6,6.6
"OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,6.52,6.65,6.59,6.5
"OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,1818.29,1785.85,1797.72,1820.76
"OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,4.78,4.8,4.79,4.81
"OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,2472.49,2456.03,2463.06,2465.84
"OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,4.77,4.78,4.76,4.77
"OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,2483.86,2467.59,2481.27,2483.39
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,577.26,577.32,578.69,581.12
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,20.76,20.76,20.71,20.63
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,16.40,16.52,16.49,16.4
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,728.85,723.86,726.07,727.94
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,1103.94,1108.33,1111.51,1101.88
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,10.86,10.82,10.79,10.88
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,694.19,698.64,696.19,695.86
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,17.27,17.16,17.22,17.23
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,78.33,77.87,79.15,76.98
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,153.09,153.96,151.4,155.68
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,1619.19,1624.55,1622.61,1622.61
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,14.81,14.76,14.78,14.78
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,968.55,969.27,966.24,968.1
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,12.37,12.36,12.4,12.38
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,23485.17,23527.09,23480.68,23466.66
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,1.01,1.01,1.01,1.01
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,41071.45,41249.46,41139.65,41101.48
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,0.58,0.57,0.57,0.57
"Timed CPython Compilation - Build Configuration: Default (sec)",LIB,13.033,13.01,13.133,13.029
"Timed CPython Compilation - Build Configuration: Released Build, PGO + LTO Optimized (sec)",LIB,220.827,220.259,220.575,221.05
"Timed Erlang/OTP Compilation - Time To Compile (sec)",LIB,73.684,74.542,75.003,73.979
"Timed Node.js Compilation - Time To Compile (sec)",LIB,224.681,225.267,226.301,225.674
"Timed PHP Compilation - Time To Compile (sec)",LIB,37.039,37.534,37.771,37.736
"Timed Wasmer Compilation - Time To Compile (sec)",LIB,43.219,43.071,43.326,43.072
"Unpacking The Linux Kernel - linux-5.19.tar.xz (sec)",LIB,5.574,5.564,5.614,5.591