nn 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: Processor: AMD Ryzen Threadripper PRO 5965WX 24-Cores @ 3.80GHz (24 Cores / 48 Threads), Motherboard: ASUS Pro WS WRX80E-SAGE SE WIFI (1003 BIOS), Chipset: AMD Starship/Matisse, Memory: 128GB, Disk: 1000GB Western Digital WDS100T1X0E-00AFY0, Graphics: ASUS NVIDIA NV106 2GB, Audio: AMD Starship/Matisse, Monitor: VA2431, Network: 2 x Intel 10G X550T + Intel Wi-Fi 6 AX200 OS: Ubuntu 22.04, Kernel: 5.19.0-051900daily20220809-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.3 + Wayland, Display Driver: nouveau, OpenGL: 4.3 Mesa 22.0.1, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080 b: Processor: AMD Ryzen Threadripper PRO 5965WX 24-Cores @ 3.80GHz (24 Cores / 48 Threads), Motherboard: ASUS Pro WS WRX80E-SAGE SE WIFI (1003 BIOS), Chipset: AMD Starship/Matisse, Memory: 128GB, Disk: 1000GB Western Digital WDS100T1X0E-00AFY0, Graphics: ASUS NVIDIA NV106 2GB, Audio: AMD Starship/Matisse, Monitor: VA2431, Network: 2 x Intel 10G X550T + Intel Wi-Fi 6 AX200 OS: Ubuntu 22.04, Kernel: 5.19.0-051900daily20220809-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.3 + Wayland, Display Driver: nouveau, OpenGL: 4.3 Mesa 22.0.1, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080 c: Processor: AMD Ryzen Threadripper PRO 5965WX 24-Cores @ 3.80GHz (24 Cores / 48 Threads), Motherboard: ASUS Pro WS WRX80E-SAGE SE WIFI (1003 BIOS), Chipset: AMD Starship/Matisse, Memory: 128GB, Disk: 1000GB Western Digital WDS100T1X0E-00AFY0, Graphics: ASUS NVIDIA NV106 2GB, Audio: AMD Starship/Matisse, Monitor: VA2431, Network: 2 x Intel 10G X550T + Intel Wi-Fi 6 AX200 OS: Ubuntu 22.04, Kernel: 5.19.0-051900daily20220809-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.3 + Wayland, Display Driver: nouveau, OpenGL: 4.3 Mesa 22.0.1, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080 Mobile Neural Network 2.0 Model: mobilenetV3 ms < Lower Is Better a . 2.257 |=================================================================== b . 2.281 |==================================================================== c . 2.038 |============================================================= Mobile Neural Network 2.0 Model: squeezenetv1.1 ms < Lower Is Better a . 3.648 |================================================================= b . 3.789 |==================================================================== c . 3.291 |=========================================================== Mobile Neural Network 2.0 Model: resnet-v2-50 ms < Lower Is Better a . 18.43 |=================================================================== b . 18.82 |==================================================================== c . 17.12 |============================================================== Mobile Neural Network 2.0 Model: SqueezeNetV1.0 ms < Lower Is Better a . 5.946 |==================================================================== b . 5.983 |==================================================================== c . 5.658 |================================================================ Mobile Neural Network 2.0 Model: MobileNetV2_224 ms < Lower Is Better a . 3.820 |=================================================================== b . 3.901 |==================================================================== c . 3.545 |============================================================== Mobile Neural Network 2.0 Model: mobilenet-v1-1.0 ms < Lower Is Better a . 2.700 |=================================================================== b . 2.720 |==================================================================== c . 2.729 |==================================================================== Mobile Neural Network 2.0 Model: inception-v3 ms < Lower Is Better a . 22.13 |=================================================================== b . 22.40 |==================================================================== c . 19.85 |============================================================ NCNN 20220729 Target: CPU - Model: mobilenet ms < Lower Is Better a . 13.12 |==================================================================== b . 12.93 |=================================================================== c . 12.84 |=================================================================== NCNN 20220729 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better a . 6.17 |===================================================================== b . 5.94 |================================================================== c . 5.91 |================================================================== NCNN 20220729 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better a . 5.69 |===================================================================== b . 5.45 |================================================================== c . 5.42 |================================================================== NCNN 20220729 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better a . 7.25 |===================================================================== b . 7.04 |=================================================================== c . 6.96 |================================================================== NCNN 20220729 Target: CPU - Model: mnasnet ms < Lower Is Better a . 5.69 |===================================================================== b . 5.46 |================================================================== c . 5.46 |================================================================== NCNN 20220729 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better a . 8.28 |===================================================================== b . 7.98 |=================================================================== c . 7.90 |================================================================== NCNN 20220729 Target: CPU - Model: blazeface ms < Lower Is Better a . 3.09 |===================================================================== b . 2.99 |=================================================================== c . 2.96 |================================================================== NCNN 20220729 Target: CPU - Model: googlenet ms < Lower Is Better a . 14.16 |==================================================================== b . 13.84 |================================================================== c . 13.80 |================================================================== NCNN 20220729 Target: CPU - Model: vgg16 ms < Lower Is Better a . 23.28 |==================================================================== b . 23.25 |==================================================================== c . 23.32 |==================================================================== NCNN 20220729 Target: CPU - Model: resnet18 ms < Lower Is Better a . 9.25 |===================================================================== b . 9.13 |==================================================================== c . 9.11 |==================================================================== NCNN 20220729 Target: CPU - Model: alexnet ms < Lower Is Better a . 5.96 |===================================================================== b . 5.89 |==================================================================== c . 5.98 |===================================================================== NCNN 20220729 Target: CPU - Model: resnet50 ms < Lower Is Better a . 17.10 |==================================================================== b . 16.81 |=================================================================== c . 16.72 |================================================================== NCNN 20220729 Target: CPU - Model: yolov4-tiny ms < Lower Is Better a . 19.49 |==================================================================== b . 19.16 |=================================================================== c . 18.99 |================================================================== NCNN 20220729 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better a . 15.51 |==================================================================== b . 15.24 |=================================================================== c . 15.23 |=================================================================== NCNN 20220729 Target: CPU - Model: regnety_400m ms < Lower Is Better a . 23.84 |==================================================================== b . 22.46 |================================================================ c . 22.26 |=============================================================== NCNN 20220729 Target: CPU - Model: vision_transformer ms < Lower Is Better a . 110.26 |=================================================================== b . 110.27 |=================================================================== c . 110.27 |=================================================================== NCNN 20220729 Target: CPU - Model: FastestDet ms < Lower Is Better a . 8.76 |===================================================================== b . 8.59 |==================================================================== c . 8.43 |==================================================================