ncnn mnn alderlake p Intel Core i7-1280P testing with a MSI MS-14C6 (E14C6IMS.115 BIOS) and MSI Intel ADL GT2 15GB on Arch rolling via the Phoronix Test Suite. A: Processor: Intel Core i7-1280P @ 4.80GHz (14 Cores / 20 Threads), Motherboard: MSI MS-14C6 (E14C6IMS.115 BIOS), Chipset: Intel Alder Lake PCH, Memory: 16GB, Disk: 1024GB Micron_3400_MTFDKBA1T0TFH, Graphics: MSI Intel ADL GT2 15GB (1450MHz), Audio: Intel Alder Lake PCH-P HD Audio, Network: Intel Alder Lake-P PCH CNVi WiFi 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, Vulkan: 1.3.211, Compiler: GCC 12.1.1 20220730, File-System: ext4, Screen Resolution: 1920x1080 B: Processor: Intel Core i7-1280P @ 4.80GHz (14 Cores / 20 Threads), Motherboard: MSI MS-14C6 (E14C6IMS.115 BIOS), Chipset: Intel Alder Lake PCH, Memory: 16GB, Disk: 1024GB Micron_3400_MTFDKBA1T0TFH, Graphics: MSI Intel ADL GT2 15GB (1450MHz), Audio: Intel Alder Lake PCH-P HD Audio, Network: Intel Alder Lake-P PCH CNVi WiFi 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, Vulkan: 1.3.211, Compiler: GCC 12.1.1 20220730, File-System: ext4, Screen Resolution: 1920x1080 C: Processor: Intel Core i7-1280P @ 4.80GHz (14 Cores / 20 Threads), Motherboard: MSI MS-14C6 (E14C6IMS.115 BIOS), Chipset: Intel Alder Lake PCH, Memory: 16GB, Disk: 1024GB Micron_3400_MTFDKBA1T0TFH, Graphics: MSI Intel ADL GT2 15GB (1450MHz), Audio: Intel Alder Lake PCH-P HD Audio, Network: Intel Alder Lake-P PCH CNVi WiFi 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, 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 . 3.105 |==================================================================== B . 3.092 |==================================================================== C . 2.853 |============================================================== Mobile Neural Network 2.0 Model: squeezenetv1.1 ms < Lower Is Better A . 6.644 |================================================================== B . 6.847 |==================================================================== C . 5.583 |======================================================= Mobile Neural Network 2.0 Model: resnet-v2-50 ms < Lower Is Better A . 54.10 |==================================================================== B . 42.59 |====================================================== C . 35.42 |============================================= Mobile Neural Network 2.0 Model: SqueezeNetV1.0 ms < Lower Is Better A . 10.408 |================================================================== B . 10.568 |=================================================================== C . 9.554 |============================================================= Mobile Neural Network 2.0 Model: MobileNetV2_224 ms < Lower Is Better A . 5.856 |==================================================================== B . 5.793 |=================================================================== C . 5.661 |================================================================== Mobile Neural Network 2.0 Model: mobilenet-v1-1.0 ms < Lower Is Better A . 7.001 |=================================================================== B . 7.063 |==================================================================== C . 6.151 |=========================================================== Mobile Neural Network 2.0 Model: inception-v3 ms < Lower Is Better A . 56.99 |==================================================================== B . 57.27 |==================================================================== C . 49.29 |=========================================================== NCNN 20220729 Target: CPU - Model: mobilenet ms < Lower Is Better A . 16.72 |==================================================================== B . 15.85 |================================================================ C . 14.55 |=========================================================== C . 15.86 |================================================================= NCNN 20220729 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better A . 3.52 |==================================================================== B . 3.56 |==================================================================== C . 3.55 |==================================================================== C . 3.59 |===================================================================== NCNN 20220729 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better A . 3.25 |===================================================================== B . 2.98 |=============================================================== C . 2.96 |=============================================================== C . 2.98 |=============================================================== NCNN 20220729 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better A . 4.31 |===================================================================== B . 3.35 |====================================================== C . 3.32 |===================================================== C . 3.38 |====================================================== NCNN 20220729 Target: CPU - Model: mnasnet ms < Lower Is Better A . 4.23 |===================================================================== B . 3.15 |=================================================== C . 3.15 |=================================================== NCNN 20220729 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better A . 7.98 |===================================================================== B . 5.87 |=================================================== C . 5.37 |============================================== C . 5.36 |============================================== NCNN 20220729 Target: CPU - Model: blazeface ms < Lower Is Better A . 1.67 |===================================================================== B . 1.67 |===================================================================== C . 1.45 |============================================================ C . 1.58 |================================================================= NCNN 20220729 Target: CPU - Model: googlenet ms < Lower Is Better A . 13.65 |==================================================================== B . 12.91 |================================================================ C . 11.73 |========================================================== C . 12.84 |================================================================ NCNN 20220729 Target: CPU - Model: vgg16 ms < Lower Is Better A . 44.88 |==================================================================== B . 41.22 |============================================================== C . 37.40 |========================================================= C . 41.14 |============================================================== NCNN 20220729 Target: CPU - Model: resnet18 ms < Lower Is Better A . 10.67 |==================================================================== B . 10.15 |================================================================= C . 9.34 |============================================================ C . 10.13 |================================================================= NCNN 20220729 Target: CPU - Model: alexnet ms < Lower Is Better A . 7.66 |===================================================================== B . 7.32 |================================================================== C . 6.81 |============================================================= C . 7.31 |================================================================== NCNN 20220729 Target: CPU - Model: resnet50 ms < Lower Is Better A . 23.51 |==================================================================== B . 22.22 |================================================================ C . 20.37 |=========================================================== C . 22.26 |================================================================ NCNN 20220729 Target: CPU - Model: yolov4-tiny ms < Lower Is Better A . 25.10 |==================================================================== B . 23.67 |================================================================ C . 21.85 |=========================================================== C . 23.59 |================================================================ NCNN 20220729 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better A . 15.80 |==================================================================== B . 14.80 |================================================================ C . 13.70 |=========================================================== C . 14.78 |================================================================ NCNN 20220729 Target: CPU - Model: regnety_400m ms < Lower Is Better A . 14.00 |==================================================================== B . 13.47 |================================================================= C . 12.06 |=========================================================== C . 13.35 |================================================================= NCNN 20220729 Target: CPU - Model: vision_transformer ms < Lower Is Better A . 332.68 |=================================================================== B . 322.16 |================================================================= C . 310.75 |=============================================================== C . 321.37 |================================================================= NCNN 20220729 Target: CPU - Model: FastestDet ms < Lower Is Better A . 5.62 |===================================================================== B . 5.35 |================================================================== NCNN 20220729 Target: Vulkan GPU - Model: mobilenet ms < Lower Is Better A . 11.72 |================================================================= B . 12.27 |==================================================================== C . 11.65 |================================================================= NCNN 20220729 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better A . 4.02 |===================================================================== B . 3.89 |=================================================================== C . 3.73 |================================================================ NCNN 20220729 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better A . 4.53 |=============================================================== B . 4.94 |===================================================================== C . 4.25 |=========================================================== NCNN 20220729 Target: Vulkan GPU - Model: shufflenet-v2 ms < Lower Is Better A . 3.05 |===================================================================== B . 2.69 |============================================================= C . 2.57 |========================================================== NCNN 20220729 Target: Vulkan GPU - Model: mnasnet ms < Lower Is Better A . 4.08 |============================================================== B . 4.53 |===================================================================== C . 3.80 |========================================================== NCNN 20220729 Target: Vulkan GPU - Model: efficientnet-b0 ms < Lower Is Better A . 9.28 |===================================================================== B . 9.04 |=================================================================== C . 9.03 |=================================================================== NCNN 20220729 Target: Vulkan GPU - Model: blazeface ms < Lower Is Better A . 1.17 |===================================================================== B . 1.14 |=================================================================== C . 1.14 |=================================================================== NCNN 20220729 Target: Vulkan GPU - Model: googlenet ms < Lower Is Better A . 13.34 |=============================================================== B . 14.50 |==================================================================== C . 13.69 |================================================================ NCNN 20220729 Target: Vulkan GPU - Model: vgg16 ms < Lower Is Better A . 72.67 |=================================================================== B . 73.63 |==================================================================== C . 70.64 |================================================================= NCNN 20220729 Target: Vulkan GPU - Model: resnet18 ms < Lower Is Better A . 13.11 |==================================================================== B . 12.89 |=================================================================== C . 12.81 |================================================================== NCNN 20220729 Target: Vulkan GPU - Model: alexnet ms < Lower Is Better A . 10.80 |================================================================= B . 11.26 |==================================================================== C . 10.75 |================================================================= NCNN 20220729 Target: Vulkan GPU - Model: resnet50 ms < Lower Is Better A . 23.26 |================================================================== B . 23.80 |==================================================================== C . 21.47 |============================================================= NCNN 20220729 Target: Vulkan GPU - Model: yolov4-tiny ms < Lower Is Better A . 45.65 |============================================= B . 69.46 |==================================================================== C . 29.82 |============================= NCNN 20220729 Target: Vulkan GPU - Model: squeezenet_ssd ms < Lower Is Better A . 10.02 |================================================================ B . 10.58 |==================================================================== C . 9.89 |================================================================ NCNN 20220729 Target: Vulkan GPU - Model: regnety_400m ms < Lower Is Better A . 6.12 |===================================================================== B . 5.42 |============================================================= C . 5.42 |============================================================= NCNN 20220729 Target: Vulkan GPU - Model: vision_transformer ms < Lower Is Better A . 508.63 |=================================================================== B . 509.42 |=================================================================== C . 489.73 |================================================================ NCNN 20220729 Target: Vulkan GPU - Model: FastestDet ms < Lower Is Better A . 4.59 |================================================================== B . 4.80 |===================================================================== C . 4.33 |==============================================================