nn tigerlake Intel Core i7-1165G7 testing with a Dell 0GG9PT (1.2.5 BIOS) and Intel Xe TGL GT2 3GB on Ubuntu 21.04 via the Phoronix Test Suite. 1: Processor: Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads), Motherboard: Dell 0GG9PT (1.2.5 BIOS), Chipset: Intel Tiger Lake-LP, Memory: 16GB, Disk: Kioxia KBG40ZNS256G NVMe 256GB, Graphics: Intel Xe TGL GT2 3GB (1300MHz), Audio: Realtek ALC289, Network: Intel Wi-Fi 6 AX201 OS: Ubuntu 21.04, Kernel: 5.11.0-18-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: 1920x1200 2: Processor: Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads), Motherboard: Dell 0GG9PT (1.2.5 BIOS), Chipset: Intel Tiger Lake-LP, Memory: 16GB, Disk: Kioxia KBG40ZNS256G NVMe 256GB, Graphics: Intel Xe TGL GT2 3GB (1300MHz), Audio: Realtek ALC289, Network: Intel Wi-Fi 6 AX201 OS: Ubuntu 21.04, Kernel: 5.11.0-18-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: 1920x1200 3: Processor: Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads), Motherboard: Dell 0GG9PT (1.2.5 BIOS), Chipset: Intel Tiger Lake-LP, Memory: 16GB, Disk: Kioxia KBG40ZNS256G NVMe 256GB, Graphics: Intel Xe TGL GT2 3GB (1300MHz), Audio: Realtek ALC289, Network: Intel Wi-Fi 6 AX201 OS: Ubuntu 21.04, Kernel: 5.11.0-18-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: 1920x1200 Mobile Neural Network 1.2 Model: mobilenetV3 ms < Lower Is Better 1 . 2.522 |==================================================================== 2 . 2.517 |==================================================================== 3 . 2.516 |==================================================================== Mobile Neural Network 1.2 Model: squeezenetv1.1 ms < Lower Is Better 1 . 4.888 |=================================================================== 2 . 4.930 |==================================================================== 3 . 4.905 |==================================================================== Mobile Neural Network 1.2 Model: resnet-v2-50 ms < Lower Is Better 1 . 43.71 |==================================================================== 2 . 41.92 |================================================================= 3 . 41.62 |================================================================= Mobile Neural Network 1.2 Model: SqueezeNetV1.0 ms < Lower Is Better 1 . 7.364 |==================================================================== 2 . 7.408 |==================================================================== 3 . 7.384 |==================================================================== Mobile Neural Network 1.2 Model: MobileNetV2_224 ms < Lower Is Better 1 . 4.642 |==================================================================== 2 . 4.609 |==================================================================== 3 . 4.608 |==================================================================== Mobile Neural Network 1.2 Model: mobilenet-v1-1.0 ms < Lower Is Better 1 . 5.068 |==================================================================== 2 . 5.044 |==================================================================== 3 . 5.043 |==================================================================== Mobile Neural Network 1.2 Model: inception-v3 ms < Lower Is Better 1 . 53.74 |==================================================================== 2 . 53.73 |==================================================================== 3 . 54.09 |==================================================================== NCNN 20210525 Target: CPU - Model: mobilenet ms < Lower Is Better 1 . 24.05 |==================================================================== 2 . 23.31 |================================================================== 3 . 23.49 |================================================================== NCNN 20210525 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 4.83 |===================================================================== 2 . 4.78 |==================================================================== 3 . 4.79 |==================================================================== NCNN 20210525 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 4.86 |=================================================================== 2 . 4.84 |================================================================== 3 . 5.04 |===================================================================== NCNN 20210525 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 5.27 |================================================================ 2 . 5.63 |===================================================================== 3 . 5.67 |===================================================================== NCNN 20210525 Target: CPU - Model: mnasnet ms < Lower Is Better 1 . 5.65 |=============================================================== 2 . 6.11 |===================================================================== 3 . 6.14 |===================================================================== NCNN 20210525 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 9.51 |===================================================================== 2 . 9.16 |================================================================== 3 . 9.22 |=================================================================== NCNN 20210525 Target: CPU - Model: blazeface ms < Lower Is Better 1 . 2.14 |===================================================================== 2 . 2.08 |=================================================================== 3 . 2.12 |==================================================================== NCNN 20210525 Target: CPU - Model: googlenet ms < Lower Is Better 1 . 21.08 |==================================================================== 2 . 20.06 |================================================================= 3 . 20.21 |================================================================= NCNN 20210525 Target: CPU - Model: vgg16 ms < Lower Is Better 1 . 64.91 |==================================================================== 2 . 63.37 |================================================================== 3 . 63.40 |================================================================== NCNN 20210525 Target: CPU - Model: resnet18 ms < Lower Is Better 1 . 19.70 |==================================================================== 2 . 19.23 |================================================================== 3 . 19.29 |=================================================================== NCNN 20210525 Target: CPU - Model: alexnet ms < Lower Is Better 1 . 17.17 |==================================================================== 2 . 16.67 |================================================================== 3 . 16.74 |================================================================== NCNN 20210525 Target: CPU - Model: resnet50 ms < Lower Is Better 1 . 38.23 |==================================================================== 2 . 37.19 |================================================================== 3 . 37.37 |================================================================== NCNN 20210525 Target: CPU - Model: yolov4-tiny ms < Lower Is Better 1 . 35.31 |==================================================================== 2 . 34.36 |================================================================== 3 . 34.43 |================================================================== NCNN 20210525 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better 1 . 31.18 |==================================================================== 2 . 30.35 |================================================================== 3 . 30.52 |=================================================================== NCNN 20210525 Target: CPU - Model: regnety_400m ms < Lower Is Better 1 . 12.04 |==================================================================== 2 . 11.78 |=================================================================== 3 . 11.83 |=================================================================== TNN 0.3 Target: CPU - Model: DenseNet ms < Lower Is Better 1 . 4311.56 |================================================================== 2 . 4250.10 |================================================================= 3 . 3870.77 |=========================================================== TNN 0.3 Target: CPU - Model: MobileNet v2 ms < Lower Is Better 1 . 300.65 |=================================================================== 2 . 302.08 |=================================================================== 3 . 298.90 |================================================================== TNN 0.3 Target: CPU - Model: SqueezeNet v2 ms < Lower Is Better 1 . 56.58 |==================================================================== 2 . 56.50 |==================================================================== 3 . 56.13 |=================================================================== TNN 0.3 Target: CPU - Model: SqueezeNet v1.1 ms < Lower Is Better 1 . 271.45 |=================================================================== 2 . 271.76 |=================================================================== 3 . 272.10 |===================================================================