ncnn mnn 5900HX AMD Ryzen 9 5900HX testing with a ASUS G513QY v1.0 (G513QY.318 BIOS) and ASUS AMD Cezanne 512MB on Arch rolling via the Phoronix Test Suite. A: Processor: AMD Ryzen 9 5900HX @ 3.30GHz (8 Cores / 16 Threads), Motherboard: ASUS G513QY v1.0 (G513QY.318 BIOS), Chipset: AMD Renoir/Cezanne, Memory: 16GB, Disk: 512GB SAMSUNG MZVLQ512HBLU-00B00, Graphics: ASUS AMD Cezanne 512MB (2500/1000MHz), Audio: AMD Navi 21/23, Monitor: LQ156M1JW25, Network: Realtek RTL8111/8168/8411 + MEDIATEK MT7921 802.11ax PCI OS: Arch rolling, Kernel: 5.18.16-arch1-1 (x86_64), Desktop: KDE Plasma 5.25.4, Display Server: X Server 1.21.1.4 + Wayland, OpenGL: 4.6 Mesa 22.1.4 (LLVM 14.0.6 DRM 3.46), Vulkan: 1.3.211, Compiler: GCC 12.1.1 20220730, File-System: ext4, Screen Resolution: 1920x1080 B: Processor: AMD Ryzen 9 5900HX @ 3.30GHz (8 Cores / 16 Threads), Motherboard: ASUS G513QY v1.0 (G513QY.318 BIOS), Chipset: AMD Renoir/Cezanne, Memory: 16GB, Disk: 512GB SAMSUNG MZVLQ512HBLU-00B00, Graphics: ASUS AMD Cezanne 512MB, Audio: AMD Navi 21/23, Monitor: LQ156M1JW25, Network: Realtek RTL8111/8168/8411 + MEDIATEK MT7921 802.11ax PCI OS: Arch rolling, Kernel: 5.18.16-arch1-1 (x86_64), Desktop: KDE Plasma 5.25.4, Display Server: X Server 1.21.1.4 + Wayland, OpenGL: 4.6 Mesa 22.1.4 (LLVM 14.0.6 DRM 3.46), Vulkan: 1.3.211, Compiler: GCC 12.1.1 20220730, File-System: ext4, Screen Resolution: 1920x1080 C: Processor: AMD Ryzen 9 5900HX @ 3.30GHz (8 Cores / 16 Threads), Motherboard: ASUS G513QY v1.0 (G513QY.318 BIOS), Chipset: AMD Renoir/Cezanne, Memory: 16GB, Disk: 512GB SAMSUNG MZVLQ512HBLU-00B00, Graphics: ASUS AMD Cezanne 512MB (2500/1000MHz), Audio: AMD Navi 21/23, Monitor: LQ156M1JW25, Network: Realtek RTL8111/8168/8411 + MEDIATEK MT7921 802.11ax PCI OS: Arch rolling, Kernel: 5.18.16-arch1-1 (x86_64), Desktop: KDE Plasma 5.25.4, Display Server: X Server 1.21.1.4 + Wayland, OpenGL: 4.6 Mesa 22.1.4 (LLVM 14.0.6 DRM 3.46), Vulkan: 1.3.211, Compiler: GCC 12.1.1 20220730, File-System: ext4, Screen Resolution: 1920x1080 Mobile Neural Network 2.0 Model: mobilenetV3 ms < Lower Is Better A . 1.136 |==================================================================== B . 1.137 |==================================================================== C . 1.141 |==================================================================== Mobile Neural Network 2.0 Model: squeezenetv1.1 ms < Lower Is Better A . 2.382 |=================================================================== B . 2.410 |==================================================================== C . 2.405 |==================================================================== Mobile Neural Network 2.0 Model: resnet-v2-50 ms < Lower Is Better A . 21.26 |==================================================================== B . 21.36 |==================================================================== C . 21.23 |==================================================================== Mobile Neural Network 2.0 Model: SqueezeNetV1.0 ms < Lower Is Better A . 4.463 |=================================================================== B . 4.523 |==================================================================== C . 4.506 |==================================================================== Mobile Neural Network 2.0 Model: MobileNetV2_224 ms < Lower Is Better A . 2.490 |==================================================================== B . 2.443 |=================================================================== C . 2.471 |=================================================================== Mobile Neural Network 2.0 Model: mobilenet-v1-1.0 ms < Lower Is Better A . 2.369 |==================================================================== B . 2.351 |=================================================================== C . 2.334 |=================================================================== Mobile Neural Network 2.0 Model: inception-v3 ms < Lower Is Better A . 28.00 |================================================================== B . 28.45 |=================================================================== C . 28.79 |==================================================================== NCNN 20220729 Target: CPU - Model: mobilenet ms < Lower Is Better A . 14.98 |=================================================================== B . 15.24 |==================================================================== C . 15.30 |==================================================================== NCNN 20220729 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better A . 4.17 |===================================================================== B . 4.19 |===================================================================== C . 4.14 |==================================================================== NCNN 20220729 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better A . 3.07 |===================================================================== B . 3.01 |==================================================================== C . 3.02 |==================================================================== NCNN 20220729 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better A . 2.25 |==================================================================== B . 2.21 |=================================================================== C . 2.28 |===================================================================== NCNN 20220729 Target: CPU - Model: mnasnet ms < Lower Is Better A . 2.81 |===================================================================== B . 2.73 |=================================================================== C . 2.72 |=================================================================== NCNN 20220729 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better A . 5.78 |===================================================================== B . 5.78 |===================================================================== C . 5.75 |===================================================================== NCNN 20220729 Target: CPU - Model: blazeface ms < Lower Is Better A . 0.77 |===================================================================== B . 0.77 |===================================================================== C . 0.76 |==================================================================== NCNN 20220729 Target: CPU - Model: googlenet ms < Lower Is Better A . 13.96 |==================================================================== B . 14.01 |==================================================================== C . 14.00 |==================================================================== NCNN 20220729 Target: CPU - Model: vgg16 ms < Lower Is Better A . 73.11 |==================================================================== B . 73.05 |==================================================================== C . 72.93 |==================================================================== NCNN 20220729 Target: CPU - Model: resnet18 ms < Lower Is Better A . 12.45 |=================================================================== B . 12.67 |==================================================================== C . 12.54 |=================================================================== NCNN 20220729 Target: CPU - Model: alexnet ms < Lower Is Better A . 10.67 |=================================================================== B . 10.82 |==================================================================== C . 10.65 |=================================================================== NCNN 20220729 Target: CPU - Model: resnet50 ms < Lower Is Better A . 22.95 |==================================================================== B . 23.12 |==================================================================== C . 22.80 |=================================================================== NCNN 20220729 Target: CPU - Model: yolov4-tiny ms < Lower Is Better A . 27.42 |==================================================================== B . 27.46 |==================================================================== C . 27.59 |==================================================================== NCNN 20220729 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better A . 20.87 |==================================================================== B . 20.94 |==================================================================== C . 20.94 |==================================================================== NCNN 20220729 Target: CPU - Model: regnety_400m ms < Lower Is Better A . 7.12 |===================================================================== B . 7.10 |===================================================================== C . 7.08 |===================================================================== NCNN 20220729 Target: CPU - Model: vision_transformer ms < Lower Is Better A . 165.65 |================================================================== B . 167.99 |=================================================================== C . 165.92 |================================================================== NCNN 20220729 Target: CPU - Model: FastestDet ms < Lower Is Better A . 2.57 |================================================================== B . 2.60 |=================================================================== C . 2.69 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: mobilenet ms < Lower Is Better A . 4.48 |===================================================================== B . 4.48 |===================================================================== C . 4.49 |===================================================================== NCNN 20220729 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better A . 1.88 |==================================================================== B . 1.92 |===================================================================== C . 1.92 |===================================================================== NCNN 20220729 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better A . 2.30 |==================================================================== B . 2.34 |===================================================================== C . 2.35 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: shufflenet-v2 ms < Lower Is Better A . 1.77 |=================================================================== B . 1.82 |===================================================================== C . 1.83 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: mnasnet ms < Lower Is Better A . 1.89 |=================================================================== B . 1.93 |===================================================================== C . 1.94 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: efficientnet-b0 ms < Lower Is Better A . 5.02 |==================================================================== B . 5.06 |===================================================================== C . 5.09 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: blazeface ms < Lower Is Better A . 1.07 |=================================================================== B . 1.11 |===================================================================== C . 1.11 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: googlenet ms < Lower Is Better A . 3.79 |================================================================== B . 3.94 |===================================================================== C . 3.96 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: vgg16 ms < Lower Is Better A . 7.18 |===================================================================== B . 7.21 |===================================================================== C . 7.22 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: resnet18 ms < Lower Is Better A . 2.33 |===================================================================== B . 2.30 |==================================================================== C . 2.32 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: alexnet ms < Lower Is Better A . 1.66 |===================================================================== B . 1.65 |===================================================================== C . 1.66 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: yolov4-tiny ms < Lower Is Better A . 6.67 |===================================================================== B . 6.65 |===================================================================== C . 6.68 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: squeezenet_ssd ms < Lower Is Better A . 4.05 |==================================================================== B . 4.08 |===================================================================== C . 3.98 |=================================================================== NCNN 20220729 Target: Vulkan GPU - Model: regnety_400m ms < Lower Is Better A . 3.00 |==================================================================== B . 3.03 |==================================================================== C . 3.06 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: vision_transformer ms < Lower Is Better A . 147.83 |=================================================================== B . 146.00 |================================================================== C . 145.82 |================================================================== NCNN 20220729 Target: Vulkan GPU - Model: FastestDet ms < Lower Is Better A . 1.86 |=================================================================== B . 1.91 |===================================================================== C . 1.91 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: resnet50 ms < Lower Is Better A . 5.06 |===================================================================== B . 5.06 |===================================================================== C . 5.08 |=====================================================================