kaby nn Intel Core i7-8550U testing with a Dell 0H0VG3 (1.10.0 BIOS) and Intel UHD 620 KBL GT2 3GB on Ubuntu 20.10 via the Phoronix Test Suite. 1: Processor: Intel Core i7-8550U @ 4.00GHz (4 Cores / 8 Threads), Motherboard: Dell 0H0VG3 (1.10.0 BIOS), Chipset: Intel Xeon E3-1200 v6/7th, Memory: 8GB, Disk: PM961 NVMe SAMSUNG 256GB, Graphics: Intel UHD 620 KBL GT2 3GB (1150MHz), Audio: Realtek ALC3271, Network: Qualcomm Atheros QCA6174 802.11ac OS: Ubuntu 20.10, Kernel: 5.8.0-53-generic (x86_64), Desktop: GNOME Shell 3.38.2, Display Server: X Server 1.20.9, OpenGL: 4.6 Mesa 20.2.6, OpenCL: OpenCL 2.1, Vulkan: 1.2.145, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080 2: Processor: Intel Core i7-8550U @ 4.00GHz (4 Cores / 8 Threads), Motherboard: Dell 0H0VG3 (1.10.0 BIOS), Chipset: Intel Xeon E3-1200 v6/7th, Memory: 8GB, Disk: PM961 NVMe SAMSUNG 256GB, Graphics: Intel UHD 620 KBL GT2 3GB (1150MHz), Audio: Realtek ALC3271, Network: Qualcomm Atheros QCA6174 802.11ac OS: Ubuntu 20.10, Kernel: 5.8.0-53-generic (x86_64), Desktop: GNOME Shell 3.38.2, Display Server: X Server 1.20.9, OpenGL: 4.6 Mesa 20.2.6, OpenCL: OpenCL 2.1, Vulkan: 1.2.145, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080 3: Processor: Intel Core i7-8550U @ 4.00GHz (4 Cores / 8 Threads), Motherboard: Dell 0H0VG3 (1.10.0 BIOS), Chipset: Intel Xeon E3-1200 v6/7th, Memory: 8GB, Disk: PM961 NVMe SAMSUNG 256GB, Graphics: Intel UHD 620 KBL GT2 3GB (1150MHz), Audio: Realtek ALC3271, Network: Qualcomm Atheros QCA6174 802.11ac OS: Ubuntu 20.10, Kernel: 5.8.0-53-generic (x86_64), Desktop: GNOME Shell 3.38.2, Display Server: X Server 1.20.9, OpenGL: 4.6 Mesa 20.2.6, OpenCL: OpenCL 2.1, Vulkan: 1.2.145, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080 Mobile Neural Network 1.2 Model: mobilenetV3 ms < Lower Is Better 1 . 3.851 |=================================================================== 2 . 3.790 |================================================================== 3 . 3.892 |==================================================================== Mobile Neural Network 1.2 Model: squeezenetv1.1 ms < Lower Is Better 1 . 6.951 |================================================================ 2 . 6.999 |================================================================= 3 . 7.375 |==================================================================== Mobile Neural Network 1.2 Model: resnet-v2-50 ms < Lower Is Better 1 . 62.84 |==================================================================== 2 . 62.58 |==================================================================== 3 . 61.89 |=================================================================== Mobile Neural Network 1.2 Model: SqueezeNetV1.0 ms < Lower Is Better 1 . 10.01 |================================================================== 2 . 10.24 |==================================================================== 3 . 10.00 |================================================================== Mobile Neural Network 1.2 Model: MobileNetV2_224 ms < Lower Is Better 1 . 6.949 |==================================================================== 2 . 6.990 |==================================================================== 3 . 6.987 |==================================================================== Mobile Neural Network 1.2 Model: mobilenet-v1-1.0 ms < Lower Is Better 1 . 6.103 |=================================================================== 2 . 6.165 |==================================================================== 3 . 6.141 |==================================================================== Mobile Neural Network 1.2 Model: inception-v3 ms < Lower Is Better 1 . 77.14 |==================================================================== 2 . 76.54 |=================================================================== 3 . 76.84 |==================================================================== TNN 0.3 Target: CPU - Model: DenseNet ms < Lower Is Better 1 . 5006.76 |================================================================== 2 . 4992.84 |================================================================== 3 . 4996.26 |================================================================== TNN 0.3 Target: CPU - Model: MobileNet v2 ms < Lower Is Better 1 . 376.93 |=================================================================== 2 . 375.79 |================================================================== 3 . 379.20 |=================================================================== TNN 0.3 Target: CPU - Model: SqueezeNet v2 ms < Lower Is Better 1 . 79.29 |=================================================================== 2 . 79.88 |==================================================================== 3 . 79.40 |==================================================================== TNN 0.3 Target: CPU - Model: SqueezeNet v1.1 ms < Lower Is Better 1 . 339.95 |=================================================================== 2 . 338.98 |=================================================================== 3 . 340.26 |=================================================================== NCNN 20210525 Target: CPU - Model: mobilenet ms < Lower Is Better 1 . 36.18 |==================================================================== 2 . 35.94 |==================================================================== 3 . 35.96 |==================================================================== NCNN 20210525 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 8.96 |==================================================================== 2 . 9.06 |===================================================================== 3 . 8.94 |==================================================================== NCNN 20210525 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 7.58 |===================================================================== 2 . 7.58 |===================================================================== 3 . 7.58 |===================================================================== NCNN 20210525 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 5.87 |================================================================== 2 . 5.76 |================================================================= 3 . 6.16 |===================================================================== NCNN 20210525 Target: CPU - Model: mnasnet ms < Lower Is Better 1 . 7.56 |==================================================================== 2 . 7.60 |==================================================================== 3 . 7.66 |===================================================================== NCNN 20210525 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 12.85 |=================================================================== 2 . 12.97 |=================================================================== 3 . 13.12 |==================================================================== NCNN 20210525 Target: CPU - Model: blazeface ms < Lower Is Better 1 . 2.66 |===================================================================== 2 . 2.52 |================================================================= 3 . 2.63 |==================================================================== NCNN 20210525 Target: CPU - Model: googlenet ms < Lower Is Better 1 . 27.78 |==================================================================== 2 . 27.72 |==================================================================== 3 . 27.79 |==================================================================== NCNN 20210525 Target: CPU - Model: vgg16 ms < Lower Is Better 1 . 133.30 |=================================================================== 2 . 133.13 |=================================================================== 3 . 133.41 |=================================================================== NCNN 20210525 Target: CPU - Model: resnet18 ms < Lower Is Better 1 . 31.47 |=================================================================== 2 . 31.86 |==================================================================== 3 . 31.70 |==================================================================== NCNN 20210525 Target: CPU - Model: alexnet ms < Lower Is Better 1 . 30.20 |==================================================================== 2 . 29.96 |=================================================================== 3 . 30.16 |==================================================================== NCNN 20210525 Target: CPU - Model: resnet50 ms < Lower Is Better 1 . 58.82 |==================================================================== 2 . 59.22 |==================================================================== 3 . 58.60 |=================================================================== NCNN 20210525 Target: CPU - Model: yolov4-tiny ms < Lower Is Better 1 . 49.59 |==================================================================== 2 . 48.88 |=================================================================== 3 . 49.88 |==================================================================== NCNN 20210525 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better 1 . 37.55 |==================================================================== 2 . 36.83 |=================================================================== 3 . 37.60 |==================================================================== NCNN 20210525 Target: CPU - Model: regnety_400m ms < Lower Is Better 1 . 15.67 |==================================================================== 2 . 15.39 |=================================================================== 3 . 15.38 |===================================================================