Icelake NN + Couch Intel Core i7-1065G7 testing with a Dell 06CDVY (1.0.9 BIOS) and Intel Iris Plus G7 3GB on Ubuntu 20.04 via the Phoronix Test Suite. 1: Processor: Intel Core i7-1065G7 @ 3.90GHz (4 Cores / 8 Threads), Motherboard: Dell 06CDVY (1.0.9 BIOS), Chipset: Intel Device 34ef, Memory: 16GB, Disk: KBG40ZPZ512G NVMe TOSHIBA 512GB, Graphics: Intel Iris Plus G7 3GB (1100MHz), Audio: Realtek ALC289, Network: Intel Killer Wi-Fi 6 AX1650i 160MHz OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc1daily20200819-generic (x86_64) 20200818, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.4, Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1200 2: Processor: Intel Core i7-1065G7 @ 3.90GHz (4 Cores / 8 Threads), Motherboard: Dell 06CDVY (1.0.9 BIOS), Chipset: Intel Device 34ef, Memory: 16GB, Disk: KBG40ZPZ512G NVMe TOSHIBA 512GB, Graphics: Intel Iris Plus G7 3GB (1100MHz), Audio: Realtek ALC289, Network: Intel Killer Wi-Fi 6 AX1650i 160MHz OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc1daily20200819-generic (x86_64) 20200818, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.4, Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1200 3: Processor: Intel Core i7-1065G7 @ 3.90GHz (4 Cores / 8 Threads), Motherboard: Dell 06CDVY (1.0.9 BIOS), Chipset: Intel Device 34ef, Memory: 16GB, Disk: KBG40ZPZ512G NVMe TOSHIBA 512GB, Graphics: Intel Iris Plus G7 3GB (1100MHz), Audio: Realtek ALC289, Network: Intel Killer Wi-Fi 6 AX1650i 160MHz OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc1daily20200819-generic (x86_64) 20200818, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.4, Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1200 RealSR-NCNN 20200818 Scale: 4x - TAA: No Seconds < Lower Is Better 1 . 173.98 |=================================================================== 2 . 174.24 |=================================================================== 3 . 173.97 |=================================================================== Apache CouchDB 3.1.1 Bulk Size: 100 - Inserts: 1000 - Rounds: 24 Seconds < Lower Is Better 1 . 191.20 |================================================================== 2 . 192.41 |=================================================================== 3 . 192.78 |=================================================================== NCNN 20200916 Target: CPU - Model: squeezenet ms < Lower Is Better 1 . 27.87 |==================================================================== 2 . 27.91 |==================================================================== 3 . 27.84 |==================================================================== NCNN 20200916 Target: CPU - Model: mobilenet ms < Lower Is Better 1 . 32.80 |==================================================================== 2 . 32.93 |==================================================================== 3 . 32.77 |==================================================================== NCNN 20200916 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 7.60 |===================================================================== 2 . 7.62 |===================================================================== 3 . 7.62 |===================================================================== NCNN 20200916 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 6.83 |==================================================================== 2 . 6.89 |===================================================================== 3 . 6.86 |===================================================================== NCNN 20200916 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 5.90 |===================================================================== 2 . 5.93 |===================================================================== 3 . 5.90 |===================================================================== NCNN 20200916 Target: CPU - Model: mnasnet ms < Lower Is Better 1 . 8.42 |===================================================================== 2 . 8.42 |===================================================================== 3 . 8.42 |===================================================================== NCNN 20200916 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 12.53 |==================================================================== 2 . 12.58 |==================================================================== 3 . 12.57 |==================================================================== NCNN 20200916 Target: CPU - Model: blazeface ms < Lower Is Better 1 . 2.42 |===================================================================== 2 . 2.40 |==================================================================== 3 . 2.38 |==================================================================== NCNN 20200916 Target: CPU - Model: googlenet ms < Lower Is Better 1 . 26.07 |==================================================================== 2 . 26.20 |==================================================================== 3 . 26.12 |==================================================================== NCNN 20200916 Target: CPU - Model: vgg16 ms < Lower Is Better 1 . 71.15 |==================================================================== 2 . 71.44 |==================================================================== 3 . 71.37 |==================================================================== NCNN 20200916 Target: CPU - Model: resnet18 ms < Lower Is Better 1 . 22.41 |==================================================================== 2 . 22.52 |==================================================================== 3 . 22.51 |==================================================================== NCNN 20200916 Target: CPU - Model: alexnet ms < Lower Is Better 1 . 20.35 |==================================================================== 2 . 20.40 |==================================================================== 3 . 20.33 |==================================================================== NCNN 20200916 Target: CPU - Model: resnet50 ms < Lower Is Better 1 . 52.13 |==================================================================== 2 . 52.41 |==================================================================== 3 . 52.27 |==================================================================== NCNN 20200916 Target: CPU - Model: yolov4-tiny ms < Lower Is Better 1 . 43.24 |==================================================================== 2 . 43.30 |==================================================================== 3 . 43.21 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: squeezenet ms < Lower Is Better 1 . 34.85 |==================================================================== 2 . 34.47 |=================================================================== 3 . 34.62 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: mobilenet ms < Lower Is Better 1 . 31.36 |==================================================================== 2 . 31.46 |==================================================================== 3 . 31.53 |==================================================================== NCNN 20200916 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 11.94 |==================================================================== 2 . 11.94 |==================================================================== 3 . 11.84 |=================================================================== NCNN 20200916 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 13.74 |==================================================================== 2 . 13.68 |==================================================================== 3 . 13.69 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 11.15 |==================================================================== 2 . 11.15 |==================================================================== 3 . 11.12 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: mnasnet ms < Lower Is Better 1 . 12.46 |==================================================================== 2 . 12.46 |==================================================================== 3 . 12.42 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 27.51 |==================================================================== 2 . 27.55 |==================================================================== 3 . 27.48 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: blazeface ms < Lower Is Better 1 . 3.01 |===================================================================== 2 . 2.81 |================================================================ 3 . 2.64 |============================================================= NCNN 20200916 Target: Vulkan GPU - Model: googlenet ms < Lower Is Better 1 . 30.15 |==================================================================== 2 . 30.16 |==================================================================== 3 . 30.13 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: vgg16 ms < Lower Is Better 1 . 124.36 |=================================================================== 2 . 124.10 |=================================================================== 3 . 124.14 |=================================================================== NCNN 20200916 Target: Vulkan GPU - Model: resnet18 ms < Lower Is Better 1 . 22.29 |==================================================================== 2 . 22.26 |==================================================================== 3 . 22.33 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: alexnet ms < Lower Is Better 1 . 23.39 |==================================================================== 2 . 23.42 |==================================================================== 3 . 23.48 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: resnet50 ms < Lower Is Better 1 . 53.13 |==================================================================== 2 . 53.02 |==================================================================== 3 . 52.93 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: yolov4-tiny ms < Lower Is Better 1 . 55.91 |==================================================================== 2 . 56.07 |==================================================================== 3 . 55.95 |==================================================================== TNN 0.2.3 Target: CPU - Model: MobileNet v2 ms < Lower Is Better 1 . 335.94 |=================================================================== 2 . 336.53 |=================================================================== 3 . 336.16 |=================================================================== TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 ms < Lower Is Better 1 . 321.81 |=================================================================== 2 . 321.88 |=================================================================== 3 . 321.81 |===================================================================