nn gravity 5950X AMD Ryzen 9 5950X 16-Core testing with a ASUS ROG CROSSHAIR VIII HERO (WI-FI) (3302 BIOS) and AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB on Ubuntu 21.04 via the Phoronix Test Suite. 1: Processor: AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (3302 BIOS), Chipset: AMD Starship/Matisse, Memory: 32GB, Disk: 500GB Western Digital WDS500G3X0C-00SJG0, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200 OS: Ubuntu 21.04, Kernel: 5.11.0-18-generic (x86_64), Desktop: GNOME Shell 3.38.4, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 21.0.1 (LLVM 11.0.1), Vulkan: 1.2.145, Compiler: GCC 10.3.0, File-System: ext4, Screen Resolution: 3840x2160 2: Processor: AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (3302 BIOS), Chipset: AMD Starship/Matisse, Memory: 32GB, Disk: 500GB Western Digital WDS500G3X0C-00SJG0, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200 OS: Ubuntu 21.04, Kernel: 5.11.0-18-generic (x86_64), Desktop: GNOME Shell 3.38.4, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 21.0.1 (LLVM 11.0.1), Vulkan: 1.2.145, Compiler: GCC 10.3.0, File-System: ext4, Screen Resolution: 3840x2160 3: Processor: AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (3302 BIOS), Chipset: AMD Starship/Matisse, Memory: 32GB, Disk: 500GB Western Digital WDS500G3X0C-00SJG0, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200 OS: Ubuntu 21.04, Kernel: 5.11.0-18-generic (x86_64), Desktop: GNOME Shell 3.38.4, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 21.0.1 (LLVM 11.0.1), Vulkan: 1.2.145, Compiler: GCC 10.3.0, File-System: ext4, Screen Resolution: 3840x2160 4: Processor: AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (3302 BIOS), Chipset: AMD Starship/Matisse, Memory: 32GB, Disk: 500GB Western Digital WDS500G3X0C-00SJG0, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200 OS: Ubuntu 21.04, Kernel: 5.11.0-18-generic (x86_64), Desktop: GNOME Shell 3.38.4, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 21.0.1 (LLVM 11.0.1), Vulkan: 1.2.145, Compiler: GCC 10.3.0, File-System: ext4, Screen Resolution: 3840x2160 GravityMark 1.1b Resolution: 1920 x 1080 - Renderer: OpenGL Frames Per Second > Higher Is Better 1 . 93.7 |==================================================================== 2 . 93.8 |==================================================================== 3 . 94.3 |===================================================================== 4 . 94.8 |===================================================================== GravityMark 1.1b Resolution: 1920 x 1080 - Renderer: Vulkan Frames Per Second > Higher Is Better 1 . 93.6 |===================================================================== 2 . 93.8 |===================================================================== 3 . 93.9 |===================================================================== 4 . 94.0 |===================================================================== GravityMark 1.1b Resolution: 1920 x 1200 - Renderer: OpenGL Frames Per Second > Higher Is Better 1 . 93.2 |===================================================================== 2 . 93.5 |===================================================================== 3 . 92.7 |==================================================================== 4 . 93.7 |===================================================================== GravityMark 1.1b Resolution: 1920 x 1200 - Renderer: Vulkan Frames Per Second > Higher Is Better 1 . 94.4 |===================================================================== 2 . 94.0 |===================================================================== 3 . 94.1 |===================================================================== 4 . 94.1 |===================================================================== GravityMark 1.1b Resolution: 2560 x 1440 - Renderer: OpenGL Frames Per Second > Higher Is Better 1 . 81.4 |==================================================================== 2 . 81.6 |===================================================================== 3 . 81.6 |===================================================================== 4 . 82.1 |===================================================================== GravityMark 1.1b Resolution: 2560 x 1440 - Renderer: Vulkan Frames Per Second > Higher Is Better 1 . 83.9 |===================================================================== 2 . 83.7 |===================================================================== 3 . 83.9 |===================================================================== 4 . 83.3 |===================================================================== GravityMark 1.1b Resolution: 3840 x 2160 - Renderer: OpenGL Frames Per Second > Higher Is Better 1 . 60.3 |==================================================================== 2 . 60.9 |===================================================================== 3 . 60.6 |===================================================================== 4 . 59.9 |==================================================================== GravityMark 1.1b Resolution: 3840 x 2160 - Renderer: Vulkan Frames Per Second > Higher Is Better 1 . 63.6 |===================================================================== 2 . 63.5 |===================================================================== 3 . 63.6 |===================================================================== 4 . 63.6 |===================================================================== Mobile Neural Network 1.2 Model: mobilenetV3 ms < Lower Is Better 1 . 2.162 |==================================================================== 2 . 2.132 |=================================================================== 3 . 2.110 |================================================================== 4 . 2.120 |=================================================================== Mobile Neural Network 1.2 Model: squeezenetv1.1 ms < Lower Is Better 1 . 4.454 |==================================================================== 2 . 4.425 |==================================================================== 3 . 4.430 |==================================================================== 4 . 4.325 |================================================================== Mobile Neural Network 1.2 Model: resnet-v2-50 ms < Lower Is Better 1 . 23.54 |==================================================================== 2 . 23.19 |=================================================================== 3 . 23.09 |=================================================================== 4 . 22.74 |================================================================== Mobile Neural Network 1.2 Model: SqueezeNetV1.0 ms < Lower Is Better 1 . 5.467 |================================================================== 2 . 5.605 |==================================================================== 3 . 5.613 |==================================================================== 4 . 5.475 |================================================================== Mobile Neural Network 1.2 Model: MobileNetV2_224 ms < Lower Is Better 1 . 3.639 |==================================================================== 2 . 3.613 |==================================================================== 3 . 3.548 |================================================================== 4 . 3.579 |=================================================================== Mobile Neural Network 1.2 Model: mobilenet-v1-1.0 ms < Lower Is Better 1 . 2.735 |==================================================================== 2 . 2.673 |================================================================== 3 . 2.613 |================================================================= 4 . 2.654 |================================================================== Mobile Neural Network 1.2 Model: inception-v3 ms < Lower Is Better 1 . 27.74 |=================================================================== 2 . 28.04 |==================================================================== 3 . 27.94 |==================================================================== 4 . 27.49 |=================================================================== NCNN 20210525 Target: CPU - Model: mobilenet ms < Lower Is Better 1 . 12.98 |==================================================================== 2 . 12.73 |=================================================================== 3 . 12.59 |================================================================== 4 . 12.60 |================================================================== NCNN 20210525 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 4.34 |===================================================================== 2 . 4.37 |===================================================================== 3 . 4.35 |===================================================================== 4 . 4.33 |==================================================================== NCNN 20210525 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 4.15 |===================================================================== 2 . 4.13 |===================================================================== 3 . 4.15 |===================================================================== 4 . 4.15 |===================================================================== NCNN 20210525 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 4.15 |===================================================================== 2 . 4.16 |===================================================================== 3 . 4.15 |===================================================================== 4 . 4.18 |===================================================================== NCNN 20210525 Target: CPU - Model: mnasnet ms < Lower Is Better 1 . 3.92 |==================================================================== 2 . 3.93 |==================================================================== 3 . 3.96 |===================================================================== 4 . 3.98 |===================================================================== NCNN 20210525 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 5.44 |===================================================================== 2 . 5.34 |==================================================================== 3 . 5.36 |==================================================================== 4 . 5.39 |==================================================================== NCNN 20210525 Target: CPU - Model: blazeface ms < Lower Is Better 1 . 1.81 |===================================================================== 2 . 1.79 |==================================================================== 3 . 1.81 |===================================================================== 4 . 1.81 |===================================================================== NCNN 20210525 Target: CPU - Model: googlenet ms < Lower Is Better 1 . 14.22 |==================================================================== 2 . 13.68 |================================================================= 3 . 14.04 |=================================================================== 4 . 13.78 |================================================================== NCNN 20210525 Target: CPU - Model: vgg16 ms < Lower Is Better 1 . 60.21 |==================================================================== 2 . 60.40 |==================================================================== 3 . 60.20 |==================================================================== 4 . 60.24 |==================================================================== NCNN 20210525 Target: CPU - Model: resnet18 ms < Lower Is Better 1 . 15.52 |==================================================================== 2 . 15.13 |================================================================== 3 . 15.44 |==================================================================== 4 . 15.31 |=================================================================== NCNN 20210525 Target: CPU - Model: alexnet ms < Lower Is Better 1 . 12.13 |==================================================================== 2 . 11.91 |=================================================================== 3 . 12.05 |==================================================================== 4 . 12.07 |==================================================================== NCNN 20210525 Target: CPU - Model: resnet50 ms < Lower Is Better 1 . 25.85 |==================================================================== 2 . 25.59 |=================================================================== 3 . 25.38 |=================================================================== 4 . 25.38 |=================================================================== NCNN 20210525 Target: CPU - Model: yolov4-tiny ms < Lower Is Better 1 . 23.96 |==================================================================== 2 . 23.39 |================================================================== 3 . 23.09 |================================================================== 4 . 22.91 |================================================================= NCNN 20210525 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better 1 . 15.69 |==================================================================== 2 . 15.61 |==================================================================== 3 . 15.55 |=================================================================== 4 . 15.13 |================================================================== NCNN 20210525 Target: CPU - Model: regnety_400m ms < Lower Is Better 1 . 9.96 |==================================================================== 2 . 9.94 |=================================================================== 3 . 10.03 |==================================================================== 4 . 10.00 |==================================================================== TNN 0.3 Target: CPU - Model: DenseNet ms < Lower Is Better 1 . 2400.99 |================================================================== 2 . 2402.10 |================================================================== 3 . 2396.49 |================================================================== 4 . 2402.68 |================================================================== TNN 0.3 Target: CPU - Model: MobileNet v2 ms < Lower Is Better 1 . 225.07 |=================================================================== 2 . 223.86 |=================================================================== 3 . 223.16 |================================================================== 4 . 223.91 |=================================================================== TNN 0.3 Target: CPU - Model: SqueezeNet v2 ms < Lower Is Better 1 . 51.18 |=================================================================== 2 . 51.65 |==================================================================== 3 . 50.55 |================================================================== 4 . 51.71 |==================================================================== TNN 0.3 Target: CPU - Model: SqueezeNet v1.1 ms < Lower Is Better 1 . 211.66 |================================================================== 2 . 212.99 |=================================================================== 3 . 210.13 |================================================================== 4 . 213.41 |===================================================================