10700t mid june Intel Core i7-10700T testing with a Logic Supply RXM-181 (Z01-0002A026 BIOS) and Intel UHD 630 CML GT2 3GB on Ubuntu 21.04 via the Phoronix Test Suite. 1: Processor: Intel Core i7-10700T @ 4.50GHz (8 Cores / 16 Threads), Motherboard: Logic Supply RXM-181 (Z01-0002A026 BIOS), Chipset: Intel Comet Lake PCH, Memory: 32GB, Disk: 256GB TS256GMTS800, Graphics: Intel UHD 630 CML GT2 3GB (1200MHz), Audio: Realtek ALC233, Monitor: DELL P2415Q, Network: Intel I219-LM + Intel I210 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 i7-10700T @ 4.50GHz (8 Cores / 16 Threads), Motherboard: Logic Supply RXM-181 (Z01-0002A026 BIOS), Chipset: Intel Comet Lake PCH, Memory: 32GB, Disk: 256GB TS256GMTS800, Graphics: Intel UHD 630 CML GT2 3GB (1200MHz), Audio: Realtek ALC233, Monitor: DELL P2415Q, Network: Intel I219-LM + Intel I210 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 3: Processor: Intel Core i7-10700T @ 4.50GHz (8 Cores / 16 Threads), Motherboard: Logic Supply RXM-181 (Z01-0002A026 BIOS), Chipset: Intel Comet Lake PCH, Memory: 32GB, Disk: 256GB TS256GMTS800, Graphics: Intel UHD 630 CML GT2 3GB (1200MHz), Audio: Realtek ALC233, Monitor: DELL P2415Q, Network: Intel I219-LM + Intel I210 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 NCNN 20210525 Target: CPU - Model: resnet18 ms < Lower Is Better 1 . 19.97 |================================================================= 2 . 19.95 |================================================================= 3 . 20.82 |==================================================================== NCNN 20210525 Target: CPU - Model: resnet50 ms < Lower Is Better 1 . 35.44 |================================================================== 2 . 36.65 |==================================================================== 3 . 35.90 |=================================================================== NCNN 20210525 Target: CPU - Model: googlenet ms < Lower Is Better 1 . 20.03 |================================================================== 2 . 20.04 |================================================================== 3 . 20.63 |==================================================================== NCNN 20210525 Target: CPU - Model: mobilenet ms < Lower Is Better 1 . 24.31 |================================================================== 2 . 24.62 |=================================================================== 3 . 24.92 |==================================================================== Unvanquished 0.52.1 Resolution: 1024 x 768 - Effects Quality: Ultra Frames Per Second > Higher Is Better 1 . 98.0 |===================================================================== 2 . 98.7 |===================================================================== 3 . 96.4 |=================================================================== Mobile Neural Network 1.2 Model: resnet-v2-50 ms < Lower Is Better 1 . 48.29 |==================================================================== 2 . 48.41 |==================================================================== 3 . 47.33 |================================================================== NCNN 20210525 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better 1 . 27.79 |=================================================================== 2 . 28.35 |==================================================================== 3 . 28.13 |=================================================================== Mobile Neural Network 1.2 Model: squeezenetv1.1 ms < Lower Is Better 1 . 6.453 |=================================================================== 2 . 6.527 |==================================================================== 3 . 6.572 |==================================================================== NCNN 20210525 Target: CPU - Model: yolov4-tiny ms < Lower Is Better 1 . 35.73 |=================================================================== 2 . 36.38 |==================================================================== 3 . 35.80 |=================================================================== Mobile Neural Network 1.2 Model: mobilenet-v1-1.0 ms < Lower Is Better 1 . 4.778 |==================================================================== 2 . 4.805 |==================================================================== 3 . 4.721 |=================================================================== Mobile Neural Network 1.2 Model: inception-v3 ms < Lower Is Better 1 . 65.48 |=================================================================== 2 . 66.32 |==================================================================== 3 . 65.26 |=================================================================== TNN 0.3 Target: CPU - Model: DenseNet ms < Lower Is Better 1 . 4271.26 |================================================================== 2 . 4279.60 |================================================================== 3 . 4212.98 |================================================================= Unvanquished 0.52.1 Resolution: 1024 x 768 - Effects Quality: Medium Frames Per Second > Higher Is Better 1 . 216.9 |=================================================================== 2 . 220.0 |==================================================================== 3 . 219.9 |==================================================================== Mobile Neural Network 1.2 Model: SqueezeNetV1.0 ms < Lower Is Better 1 . 10.22 |=================================================================== 2 . 10.36 |==================================================================== 3 . 10.25 |=================================================================== Unvanquished 0.52.1 Resolution: 1280 x 1024 - Effects Quality: Medium Frames Per Second > Higher Is Better 1 . 206.4 |=================================================================== 2 . 205.7 |=================================================================== 3 . 208.3 |==================================================================== Unvanquished 0.52.1 Resolution: 800 x 600 - Effects Quality: Ultra Frames Per Second > Higher Is Better 1 . 137.7 |==================================================================== 2 . 136.1 |=================================================================== 3 . 137.3 |==================================================================== Unvanquished 0.52.1 Resolution: 800 x 600 - Effects Quality: High Frames Per Second > Higher Is Better 1 . 213.8 |=================================================================== 2 . 214.6 |==================================================================== 3 . 216.1 |==================================================================== TNN 0.3 Target: CPU - Model: MobileNet v2 ms < Lower Is Better 1 . 380.97 |================================================================== 2 . 384.50 |=================================================================== 3 . 380.43 |================================================================== Mobile Neural Network 1.2 Model: mobilenetV3 ms < Lower Is Better 1 . 3.107 |=================================================================== 2 . 3.127 |==================================================================== 3 . 3.132 |==================================================================== Unvanquished 0.52.1 Resolution: 1920 x 1080 - Effects Quality: Medium Frames Per Second > Higher Is Better 1 . 164.3 |==================================================================== 2 . 163.0 |=================================================================== 3 . 163.7 |==================================================================== Unvanquished 0.52.1 Resolution: 1024 x 768 - Effects Quality: High Frames Per Second > Higher Is Better 1 . 207.9 |=================================================================== 2 . 208.8 |==================================================================== 3 . 209.5 |==================================================================== Unvanquished 0.52.1 Resolution: 1280 x 1024 - Effects Quality: High Frames Per Second > Higher Is Better 1 . 172.0 |==================================================================== 2 . 172.2 |==================================================================== 3 . 173.1 |==================================================================== NCNN 20210525 Target: CPU - Model: vgg16 ms < Lower Is Better 1 . 72.88 |==================================================================== 2 . 73.24 |==================================================================== 3 . 73.21 |==================================================================== TNN 0.3 Target: CPU - Model: SqueezeNet v2 ms < Lower Is Better 1 . 83.04 |==================================================================== 2 . 83.30 |==================================================================== 3 . 82.93 |==================================================================== Unvanquished 0.52.1 Resolution: 800 x 600 - Effects Quality: Medium Frames Per Second > Higher Is Better 1 . 226.6 |==================================================================== 2 . 226.1 |==================================================================== 3 . 227.1 |==================================================================== Unvanquished 0.52.1 Resolution: 1920 x 1080 - Effects Quality: High Frames Per Second > Higher Is Better 1 . 121.0 |==================================================================== 2 . 121.1 |==================================================================== 3 . 121.4 |==================================================================== Unvanquished 0.52.1 Resolution: 1280 x 1024 - Effects Quality: Ultra Frames Per Second > Higher Is Better 1 . 69.4 |===================================================================== 2 . 69.4 |===================================================================== 3 . 69.2 |===================================================================== Unvanquished 0.52.1 Resolution: 1920 x 1080 - Effects Quality: Ultra Frames Per Second > Higher Is Better 1 . 51.4 |===================================================================== 2 . 51.5 |===================================================================== 3 . 51.5 |===================================================================== NCNN 20210525 Target: CPU - Model: alexnet ms < Lower Is Better 1 . 16.66 |==================================================================== 2 . 16.69 |==================================================================== 3 . 16.67 |==================================================================== TNN 0.3 Target: CPU - Model: SqueezeNet v1.1 ms < Lower Is Better 1 . 359.80 |=================================================================== 2 . 360.06 |=================================================================== 3 . 359.50 |=================================================================== GravityMark 1.1b Resolution: 1920 x 1080 - Renderer: OpenGL ES Frames Per Second > Higher Is Better 1 . 9.3 |====================================================================== 2 . 9.3 |====================================================================== 3 . 9.3 |====================================================================== GravityMark 1.1b Resolution: 1920 x 1080 - Renderer: OpenGL Frames Per Second > Higher Is Better 1 . 0.6 |====================================================================== 2 . 0.6 |====================================================================== 3 . 0.6 |====================================================================== NCNN 20210525 Target: CPU - Model: regnety_400m ms < Lower Is Better 1 . 13.78 |==================================================================== 2 . 13.12 |================================================================ 3 . 13.85 |==================================================================== NCNN 20210525 Target: CPU - Model: blazeface ms < Lower Is Better 1 . 2.36 |===================================================================== 2 . 2.24 |================================================================= 3 . 2.36 |===================================================================== NCNN 20210525 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 9.22 |===================================================================== 2 . 8.70 |================================================================= 3 . 8.84 |================================================================== NCNN 20210525 Target: CPU - Model: mnasnet ms < Lower Is Better 1 . 5.57 |==================================================================== 2 . 5.63 |===================================================================== 3 . 5.45 |=================================================================== NCNN 20210525 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 5.25 |================================================================= 2 . 5.28 |================================================================= 3 . 5.57 |===================================================================== NCNN 20210525 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 5.46 |===================================================================== 2 . 5.48 |===================================================================== 3 . 5.48 |===================================================================== NCNN 20210525 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 5.81 |================================================================== 2 . 5.91 |=================================================================== 3 . 6.05 |===================================================================== Mobile Neural Network 1.2 Model: MobileNetV2_224 ms < Lower Is Better 1 . 4.240 |==================================================================== 2 . 4.259 |==================================================================== 3 . 4.219 |===================================================================