icelake nn Intel Core i7-1065G7 testing with a Dell 06CDVY (1.0.9 BIOS) and Intel Iris Plus ICL GT2 16GB on Ubuntu 22.04 via the Phoronix Test Suite. A: Processor: Intel Core i7-1065G7 @ 3.90GHz (4 Cores / 8 Threads), Motherboard: Dell 06CDVY (1.0.9 BIOS), Chipset: Intel Ice Lake-LP DRAM, Memory: 16GB, Disk: Toshiba KBG40ZPZ512G NVMe 512GB, Graphics: Intel Iris Plus ICL GT2 16GB (1100MHz), Audio: Realtek ALC289, Network: Intel Ice Lake-LP PCH CNVi WiFi OS: Ubuntu 22.04, Kernel: 5.18.8-051808-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1, Vulkan: 1.3.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1200 B: Processor: Intel Core i7-1065G7 @ 3.90GHz (4 Cores / 8 Threads), Motherboard: Dell 06CDVY (1.0.9 BIOS), Chipset: Intel Ice Lake-LP DRAM, Memory: 16GB, Disk: Toshiba KBG40ZPZ512G NVMe 512GB, Graphics: Intel Iris Plus ICL GT2 16GB (1100MHz), Audio: Realtek ALC289, Network: Intel Ice Lake-LP PCH CNVi WiFi OS: Ubuntu 22.04, Kernel: 5.18.8-051808-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1, Vulkan: 1.3.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1200 C: Processor: Intel Core i7-1065G7 @ 3.90GHz (4 Cores / 8 Threads), Motherboard: Dell 06CDVY (1.0.9 BIOS), Chipset: Intel Ice Lake-LP DRAM, Memory: 16GB, Disk: Toshiba KBG40ZPZ512G NVMe 512GB, Graphics: Intel Iris Plus ICL GT2 16GB (1100MHz), Audio: Realtek ALC289, Network: Intel Ice Lake-LP PCH CNVi WiFi OS: Ubuntu 22.04, Kernel: 5.18.8-051808-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1, Vulkan: 1.3.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1200 Mobile Neural Network 2.0 Model: mobilenetV3 ms < Lower Is Better A . 1.803 |================================================================= B . 1.763 |=============================================================== C . 1.899 |==================================================================== Mobile Neural Network 2.0 Model: squeezenetv1.1 ms < Lower Is Better A . 4.297 |======================================================== B . 5.216 |==================================================================== C . 3.546 |============================================== Mobile Neural Network 2.0 Model: resnet-v2-50 ms < Lower Is Better A . 26.20 |=========================================================== B . 30.31 |==================================================================== C . 21.25 |================================================ Mobile Neural Network 2.0 Model: SqueezeNetV1.0 ms < Lower Is Better A . 7.334 |=========================================================== B . 8.401 |==================================================================== C . 6.243 |=================================================== Mobile Neural Network 2.0 Model: MobileNetV2_224 ms < Lower Is Better A . 5.204 |============================================================= B . 5.765 |==================================================================== C . 4.386 |==================================================== Mobile Neural Network 2.0 Model: mobilenet-v1-1.0 ms < Lower Is Better A . 5.880 |============================================================= B . 6.533 |==================================================================== C . 4.849 |================================================== Mobile Neural Network 2.0 Model: inception-v3 ms < Lower Is Better A . 54.24 |============================================================= B . 60.33 |==================================================================== C . 45.76 |==================================================== NCNN 20220729 Target: CPU - Model: mobilenet ms < Lower Is Better A . 23.42 |================================================================== B . 24.01 |==================================================================== C . 19.48 |======================================================= NCNN 20220729 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better A . 5.50 |=================================================================== B . 5.47 |=================================================================== C . 5.66 |===================================================================== NCNN 20220729 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better A . 4.34 |=================================================================== B . 4.33 |=================================================================== C . 4.45 |===================================================================== NCNN 20220729 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better A . 4.74 |================================================================= B . 5.02 |===================================================================== C . 4.15 |========================================================= NCNN 20220729 Target: CPU - Model: mnasnet ms < Lower Is Better A . 5.33 |================================================================= B . 5.67 |===================================================================== C . 4.49 |======================================================= NCNN 20220729 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better A . 8.87 |================================================================ B . 9.58 |===================================================================== C . 7.65 |======================================================= NCNN 20220729 Target: CPU - Model: blazeface ms < Lower Is Better A . 1.41 |===================================================================== B . 1.42 |===================================================================== C . 1.15 |======================================================== NCNN 20220729 Target: CPU - Model: googlenet ms < Lower Is Better A . 16.55 |==================================================================== B . 16.36 |=================================================================== C . 13.29 |======================================================= NCNN 20220729 Target: CPU - Model: vgg16 ms < Lower Is Better A . 58.67 |=================================================================== B . 59.35 |==================================================================== C . 48.79 |======================================================== NCNN 20220729 Target: CPU - Model: resnet18 ms < Lower Is Better A . 12.35 |==================================================================== B . 12.42 |==================================================================== C . 10.18 |======================================================== NCNN 20220729 Target: CPU - Model: alexnet ms < Lower Is Better A . 9.52 |===================================================================== B . 9.53 |===================================================================== C . 7.82 |========================================================= NCNN 20220729 Target: CPU - Model: resnet50 ms < Lower Is Better A . 30.30 |=================================================================== B . 30.69 |==================================================================== C . 23.97 |===================================================== NCNN 20220729 Target: CPU - Model: yolov4-tiny ms < Lower Is Better A . 30.99 |================================================================== B . 32.01 |==================================================================== C . 25.93 |======================================================= NCNN 20220729 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better A . 22.98 |=================================================================== B . 23.23 |==================================================================== C . 20.09 |=========================================================== NCNN 20220729 Target: CPU - Model: regnety_400m ms < Lower Is Better A . 13.43 |==================================================================== B . 13.52 |==================================================================== C . 11.71 |=========================================================== NCNN 20220729 Target: CPU - Model: vision_transformer ms < Lower Is Better A . 483.67 |=================================================================== B . 482.29 |=================================================================== C . 380.27 |===================================================== NCNN 20220729 Target: CPU - Model: FastestDet ms < Lower Is Better A . 5.28 |==================================================================== B . 5.35 |===================================================================== C . 4.94 |================================================================