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","2","3" Processor,,Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads),Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads),Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads) Motherboard,,Dell 0GG9PT (1.2.5 BIOS),Dell 0GG9PT (1.2.5 BIOS),Dell 0GG9PT (1.2.5 BIOS) Chipset,,Intel Tiger Lake-LP,Intel Tiger Lake-LP,Intel Tiger Lake-LP Memory,,16GB,16GB,16GB Disk,,Kioxia KBG40ZNS256G NVMe 256GB,Kioxia KBG40ZNS256G NVMe 256GB,Kioxia KBG40ZNS256G NVMe 256GB Graphics,,Intel Xe TGL GT2 3GB (1300MHz),Intel Xe TGL GT2 3GB (1300MHz),Intel Xe TGL GT2 3GB (1300MHz) Audio,,Realtek ALC289,Realtek ALC289,Realtek ALC289 Network,,Intel Wi-Fi 6 AX201,Intel Wi-Fi 6 AX201,Intel Wi-Fi 6 AX201 OS,,Ubuntu 21.04,Ubuntu 21.04,Ubuntu 21.04 Kernel,,5.11.0-18-generic (x86_64),5.11.0-18-generic (x86_64),5.11.0-18-generic (x86_64) Desktop,,GNOME Shell 3.38.4,GNOME Shell 3.38.4,GNOME Shell 3.38.4 Display Server,,X Server + Wayland,X Server + Wayland,X Server + Wayland OpenGL,,4.6 Mesa 21.0.1,4.6 Mesa 21.0.1,4.6 Mesa 21.0.1 Vulkan,,1.2.145,1.2.145,1.2.145 Compiler,,GCC 10.3.0,GCC 10.3.0,GCC 10.3.0 File-System,,ext4,ext4,ext4 Screen Resolution,,1920x1200,1920x1200,1920x1200 ,,"1","2","3" "Mobile Neural Network - Model: mobilenetV3 (ms)",LIB,2.522,2.517,2.516 "Mobile Neural Network - Model: squeezenetv1.1 (ms)",LIB,4.888,4.930,4.905 "Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,43.706,41.923,41.616 "Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,7.364,7.408,7.384 "Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,4.642,4.609,4.608 "Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,5.068,5.044,5.043 "Mobile Neural Network - Model: inception-v3 (ms)",LIB,53.736,53.727,54.094 "NCNN - Target: CPU - Model: mobilenet (ms)",LIB,24.05,23.31,23.49 "NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,4.83,4.78,4.79 "NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,4.86,4.84,5.04 "NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,5.27,5.63,5.67 "NCNN - Target: CPU - Model: mnasnet (ms)",LIB,5.65,6.11,6.14 "NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,9.51,9.16,9.22 "NCNN - Target: CPU - Model: blazeface (ms)",LIB,2.14,2.08,2.12 "NCNN - Target: CPU - Model: googlenet (ms)",LIB,21.08,20.06,20.21 "NCNN - Target: CPU - Model: vgg16 (ms)",LIB,64.91,63.37,63.40 "NCNN - Target: CPU - Model: resnet18 (ms)",LIB,19.70,19.23,19.29 "NCNN - Target: CPU - Model: alexnet (ms)",LIB,17.17,16.67,16.74 "NCNN - Target: CPU - Model: resnet50 (ms)",LIB,38.23,37.19,37.37 "NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,35.31,34.36,34.43 "NCNN - Target: CPU - Model: squeezenet_ssd (ms)",LIB,31.18,30.35,30.52 "NCNN - Target: CPU - Model: regnety_400m (ms)",LIB,12.04,11.78,11.83 "TNN - Target: CPU - Model: DenseNet (ms)",LIB,4311.562,4250.097,3870.770 "TNN - Target: CPU - Model: MobileNet v2 (ms)",LIB,300.652,302.077,298.900 "TNN - Target: CPU - Model: SqueezeNet v2 (ms)",LIB,56.577,56.502,56.130 "TNN - Target: CPU - Model: SqueezeNet v1.1 (ms)",LIB,271.453,271.758,272.100