whiskey nn Intel Core i7-8565U testing with a Dell 0KTW76 (1.11.0 BIOS) and Intel UHD 620 WHL GT2 3GB on Ubuntu 21.04 via the Phoronix Test Suite. 1: Processor: Intel Core i7-8565U @ 4.60GHz (4 Cores / 8 Threads), Motherboard: Dell 0KTW76 (1.11.0 BIOS), Chipset: Intel Cannon Point-LP, Memory: 16GB, Disk: SK hynix PC401 NVMe 256GB, Graphics: Intel UHD 620 WHL GT2 3GB (1150MHz), Audio: Realtek ALC3271, Network: Qualcomm Atheros QCA6174 802.11ac OS: Ubuntu 21.04, Kernel: 5.11.0-17-generic (x86_64), Desktop: GNOME Shell 3.38.4, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 21.0.1, Vulkan: 1.2.145, Compiler: GCC 10.3.0, File-System: ext4, Screen Resolution: 1920x1080 2: Processor: Intel Core i7-8565U @ 4.60GHz (4 Cores / 8 Threads), Motherboard: Dell 0KTW76 (1.11.0 BIOS), Chipset: Intel Cannon Point-LP, Memory: 16GB, Disk: SK hynix PC401 NVMe 256GB, Graphics: Intel UHD 620 WHL GT2 3GB (1150MHz), Audio: Realtek ALC3271, Network: Qualcomm Atheros QCA6174 802.11ac OS: Ubuntu 21.04, Kernel: 5.11.0-17-generic (x86_64), Desktop: GNOME Shell 3.38.4, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 21.0.1, Vulkan: 1.2.145, Compiler: GCC 10.3.0, File-System: ext4, Screen Resolution: 1920x1080 13: Processor: Intel Core i7-8565U @ 4.60GHz (4 Cores / 8 Threads), Motherboard: Dell 0KTW76 (1.11.0 BIOS), Chipset: Intel Cannon Point-LP, Memory: 16GB, Disk: SK hynix PC401 NVMe 256GB, Graphics: Intel UHD 620 WHL GT2 3GB (1150MHz), Audio: Realtek ALC3271, Network: Qualcomm Atheros QCA6174 802.11ac OS: Ubuntu 21.04, Kernel: 5.11.0-17-generic (x86_64), Desktop: GNOME Shell 3.38.4, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 21.0.1, Vulkan: 1.2.145, Compiler: GCC 10.3.0, File-System: ext4, Screen Resolution: 1920x1080 Mobile Neural Network 1.2 Model: mobilenetV3 ms < Lower Is Better 1 .. 4.213 |============================================================ 2 .. 4.669 |=================================================================== 13 . 4.438 |================================================================ Mobile Neural Network 1.2 Model: squeezenetv1.1 ms < Lower Is Better 1 .. 8.159 |=================================================================== 2 .. 7.714 |=============================================================== 13 . 8.020 |================================================================== Mobile Neural Network 1.2 Model: resnet-v2-50 ms < Lower Is Better 1 .. 69.71 |================================================================ 2 .. 70.07 |================================================================= 13 . 72.44 |=================================================================== Mobile Neural Network 1.2 Model: SqueezeNetV1.0 ms < Lower Is Better 1 .. 11.43 |============================================================== 2 .. 12.40 |=================================================================== 13 . 11.82 |================================================================ Mobile Neural Network 1.2 Model: MobileNetV2_224 ms < Lower Is Better 1 .. 7.349 |=============================================================== 2 .. 7.797 |=================================================================== 13 . 7.502 |================================================================ Mobile Neural Network 1.2 Model: mobilenet-v1-1.0 ms < Lower Is Better 1 .. 6.926 |========================================================== 2 .. 7.337 |============================================================= 13 . 8.026 |=================================================================== Mobile Neural Network 1.2 Model: inception-v3 ms < Lower Is Better 1 .. 87.35 |================================================================ 2 .. 87.92 |================================================================= 13 . 91.17 |=================================================================== NCNN 20210525 Target: CPU - Model: mobilenet ms < Lower Is Better 1 .. 31.66 |============================================================= 2 .. 31.09 |============================================================ 13 . 34.62 |=================================================================== NCNN 20210525 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 .. 7.88 |========================================================== 2 .. 7.73 |========================================================= 13 . 9.28 |==================================================================== NCNN 20210525 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 .. 6.55 |========================================================= 2 .. 6.53 |========================================================= 13 . 7.84 |==================================================================== NCNN 20210525 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better 1 .. 5.58 |========================================================= 2 .. 5.33 |====================================================== 13 . 6.70 |==================================================================== NCNN 20210525 Target: CPU - Model: mnasnet ms < Lower Is Better 1 .. 7.39 |=============================================================== 2 .. 6.61 |========================================================= 13 . 7.93 |==================================================================== NCNN 20210525 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better 1 .. 12.39 |================================================================ 2 .. 12.29 |================================================================ 13 . 12.94 |=================================================================== NCNN 20210525 Target: CPU - Model: blazeface ms < Lower Is Better 1 .. 2.84 |==================================================================== 2 .. 2.43 |========================================================== 13 . 2.82 |==================================================================== NCNN 20210525 Target: CPU - Model: googlenet ms < Lower Is Better 1 .. 27.78 |=============================================================== 2 .. 24.41 |======================================================== 13 . 29.33 |=================================================================== NCNN 20210525 Target: CPU - Model: vgg16 ms < Lower Is Better 1 .. 124.70 |================================================================== 2 .. 122.42 |================================================================= 13 . 122.22 |================================================================= NCNN 20210525 Target: CPU - Model: resnet18 ms < Lower Is Better 1 .. 28.69 |================================================================== 2 .. 28.00 |================================================================ 13 . 29.24 |=================================================================== NCNN 20210525 Target: CPU - Model: alexnet ms < Lower Is Better 1 .. 28.45 |================================================================== 2 .. 28.83 |=================================================================== 13 . 28.36 |================================================================== NCNN 20210525 Target: CPU - Model: resnet50 ms < Lower Is Better 1 .. 50.81 |================================================================== 2 .. 51.02 |=================================================================== 13 . 51.33 |=================================================================== NCNN 20210525 Target: CPU - Model: yolov4-tiny ms < Lower Is Better 1 .. 48.73 |================================================================== 2 .. 48.11 |================================================================= 13 . 49.72 |=================================================================== NCNN 20210525 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better 1 .. 33.93 |=============================================================== 2 .. 33.98 |=============================================================== 13 . 36.00 |=================================================================== NCNN 20210525 Target: CPU - Model: regnety_400m ms < Lower Is Better 1 .. 16.18 |================================================================ 2 .. 14.63 |========================================================== 13 . 16.89 |=================================================================== TNN 0.3 Target: CPU - Model: DenseNet ms < Lower Is Better 1 .. 4999.35 |================================================================= 2 .. 5016.96 |================================================================= 13 . 5008.61 |================================================================= TNN 0.3 Target: CPU - Model: MobileNet v2 ms < Lower Is Better 1 .. 361.71 |================================================================= 2 .. 361.83 |================================================================= 13 . 364.84 |================================================================== TNN 0.3 Target: CPU - Model: SqueezeNet v2 ms < Lower Is Better 1 .. 79.30 |=================================================================== 2 .. 79.29 |=================================================================== 13 . 79.10 |=================================================================== TNN 0.3 Target: CPU - Model: SqueezeNet v1.1 ms < Lower Is Better 1 .. 322.26 |================================================================== 2 .. 322.49 |================================================================== 13 . 322.56 |==================================================================