nn Intel Core i3-12100 testing with a ASRock B660M-HDV (6.02 BIOS) and Intel ADL-S GT1 16GB on Ubuntu 22.04 via the Phoronix Test Suite. A: Processor: Intel Core i3-12100 @ 5.50GHz (4 Cores / 8 Threads), Motherboard: ASRock B660M-HDV (6.02 BIOS), Chipset: Intel Device 7aa7, Memory: 16GB, Disk: 512GB Sabrent, Graphics: Intel ADL-S GT1 16GB (1400MHz), Audio: Realtek ALC897, Monitor: MX279, Network: Intel OS: Ubuntu 22.04, Kernel: 5.18.0-051800-generic (x86_64), Desktop: GNOME Shell 42.1, Display Server: X Server 1.20.14 + Wayland, OpenGL: 4.6 Mesa 22.0.1, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080 B: Processor: Intel Core i3-12100 @ 5.50GHz (4 Cores / 8 Threads), Motherboard: ASRock B660M-HDV (6.02 BIOS), Chipset: Intel Device 7aa7, Memory: 16GB, Disk: 512GB Sabrent, Graphics: Intel ADL-S GT1 16GB (1400MHz), Audio: Realtek ALC897, Monitor: MX279, Network: Intel OS: Ubuntu 22.04, Kernel: 5.18.0-051800-generic (x86_64), Desktop: GNOME Shell 42.1, Display Server: X Server 1.20.14 + Wayland, OpenGL: 4.6 Mesa 22.0.1, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080 C: Processor: Intel Core i3-12100 @ 5.50GHz (4 Cores / 8 Threads), Motherboard: ASRock B660M-HDV (6.02 BIOS), Chipset: Intel Device 7aa7, Memory: 16GB, Disk: 512GB Sabrent, Graphics: Intel ADL-S GT1 16GB (1400MHz), Audio: Realtek ALC897, Monitor: MX279, Network: Intel OS: Ubuntu 22.04, Kernel: 5.18.0-051800-generic (x86_64), Desktop: GNOME Shell 42.1, Display Server: X Server 1.20.14 + Wayland, OpenGL: 4.6 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 . 1.349 |================================================================== B . 1.394 |==================================================================== C . 1.208 |=========================================================== Mobile Neural Network 2.0 Model: squeezenetv1.1 ms < Lower Is Better A . 3.730 |====================================================== B . 4.739 |==================================================================== C . 2.453 |=================================== Mobile Neural Network 2.0 Model: resnet-v2-50 ms < Lower Is Better A . 34.60 |============================================================== B . 37.95 |==================================================================== C . 30.45 |======================================================= Mobile Neural Network 2.0 Model: SqueezeNetV1.0 ms < Lower Is Better A . 7.129 |=============================================================== B . 7.652 |==================================================================== C . 6.787 |============================================================ Mobile Neural Network 2.0 Model: MobileNetV2_224 ms < Lower Is Better A . 3.690 |========================================================== B . 4.363 |==================================================================== C . 2.623 |========================================= Mobile Neural Network 2.0 Model: mobilenet-v1-1.0 ms < Lower Is Better A . 3.919 |============================================================== B . 4.265 |==================================================================== C . 3.011 |================================================ Mobile Neural Network 2.0 Model: inception-v3 ms < Lower Is Better A . 47.21 |============================================================== B . 51.90 |==================================================================== C . 47.06 |============================================================== NCNN 20220729 Target: CPU - Model: mobilenet ms < Lower Is Better A . 16.86 |================================================================ B . 18.01 |==================================================================== C . 16.38 |============================================================== NCNN 20220729 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better A . 3.38 |==================================================================== B . 3.44 |===================================================================== C . 3.28 |================================================================== NCNN 20220729 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better A . 2.75 |=================================================================== B . 2.84 |===================================================================== C . 2.61 |=============================================================== NCNN 20220729 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better A . 2.86 |============================================================ B . 3.30 |===================================================================== C . 2.64 |======================================================= NCNN 20220729 Target: CPU - Model: mnasnet ms < Lower Is Better A . 3.11 |============================================================= B . 3.50 |===================================================================== C . 2.76 |====================================================== NCNN 20220729 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better A . 7.11 |=============================================== B . 10.18 |==================================================================== C . 6.52 |============================================ NCNN 20220729 Target: CPU - Model: blazeface ms < Lower Is Better A . 0.91 |============================================================== B . 1.01 |===================================================================== C . 0.81 |======================================================= NCNN 20220729 Target: CPU - Model: googlenet ms < Lower Is Better A . 11.57 |============================================================== B . 12.77 |==================================================================== C . 10.91 |========================================================== NCNN 20220729 Target: CPU - Model: vgg16 ms < Lower Is Better A . 70.98 |==================================================================== B . 59.31 |========================================================= C . 59.38 |========================================================= NCNN 20220729 Target: CPU - Model: resnet18 ms < Lower Is Better A . 9.04 |============================================================ B . 10.30 |==================================================================== C . 8.68 |========================================================= NCNN 20220729 Target: CPU - Model: alexnet ms < Lower Is Better A . 7.55 |============================================================= B . 8.55 |===================================================================== C . 7.22 |========================================================== NCNN 20220729 Target: CPU - Model: resnet50 ms < Lower Is Better A . 25.70 |=============================================================== B . 27.72 |==================================================================== C . 23.84 |========================================================== NCNN 20220729 Target: CPU - Model: yolov4-tiny ms < Lower Is Better A . 25.97 |=================================================================== B . 26.35 |==================================================================== C . 24.07 |============================================================== NCNN 20220729 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better A . 15.93 |==================================================================== B . 16.00 |==================================================================== C . 14.83 |=============================================================== NCNN 20220729 Target: CPU - Model: regnety_400m ms < Lower Is Better A . 8.15 |====================================================== B . 10.26 |==================================================================== C . 7.54 |================================================== NCNN 20220729 Target: CPU - Model: vision_transformer ms < Lower Is Better A . 449.95 |================================================================== B . 459.64 |=================================================================== C . 420.67 |============================================================= NCNN 20220729 Target: CPU - Model: FastestDet ms < Lower Is Better A . 4.91 |===================================================================== B . 4.62 |================================================================= C . 4.65 |=================================================================