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","2","3" Processor,,Intel Core i7-10700T @ 4.50GHz (8 Cores / 16 Threads),Intel Core i7-10700T @ 4.50GHz (8 Cores / 16 Threads),Intel Core i7-10700T @ 4.50GHz (8 Cores / 16 Threads) Motherboard,,Logic Supply RXM-181 (Z01-0002A026 BIOS),Logic Supply RXM-181 (Z01-0002A026 BIOS),Logic Supply RXM-181 (Z01-0002A026 BIOS) Chipset,,Intel Comet Lake PCH,Intel Comet Lake PCH,Intel Comet Lake PCH Memory,,32GB,32GB,32GB Disk,,256GB TS256GMTS800,256GB TS256GMTS800,256GB TS256GMTS800 Graphics,,Intel UHD 630 CML GT2 3GB (1200MHz),Intel UHD 630 CML GT2 3GB (1200MHz),Intel UHD 630 CML GT2 3GB (1200MHz) Audio,,Realtek ALC233,Realtek ALC233,Realtek ALC233 Monitor,,DELL P2415Q,DELL P2415Q,DELL P2415Q Network,,Intel I219-LM + Intel I210,Intel I219-LM + Intel I210,Intel I219-LM + Intel I210 OS,,Ubuntu 21.04,Ubuntu 21.04,Ubuntu 21.04 Kernel,,5.11.0-17-generic (x86_64),5.11.0-17-generic (x86_64),5.11.0-17-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,,1920x1080,1920x1080,1920x1080 ,,"1","2","3" "GravityMark - Resolution: 1920 x 1080 - Renderer: OpenGL (FPS)",HIB,0.6,0.6,0.6 "GravityMark - Resolution: 1920 x 1080 - Renderer: OpenGL ES (FPS)",HIB,9.3,9.3,9.3 "Unvanquished - Resolution: 800 x 600 - Effects Quality: High (FPS)",HIB,213.8,214.6,216.1 "Unvanquished - Resolution: 1024 x 768 - Effects Quality: High (FPS)",HIB,207.9,208.8,209.5 "Unvanquished - Resolution: 800 x 600 - Effects Quality: Ultra (FPS)",HIB,137.7,136.1,137.3 "Unvanquished - Resolution: 1024 x 768 - Effects Quality: Ultra (FPS)",HIB,98.0,98.7,96.4 "Unvanquished - Resolution: 1280 x 1024 - Effects Quality: High (FPS)",HIB,172.0,172.2,173.1 "Unvanquished - Resolution: 1920 x 1080 - Effects Quality: High (FPS)",HIB,121.0,121.1,121.4 "Unvanquished - Resolution: 800 x 600 - Effects Quality: Medium (FPS)",HIB,226.6,226.1,227.1 "Unvanquished - Resolution: 1024 x 768 - Effects Quality: Medium (FPS)",HIB,216.9,220.0,219.9 "Unvanquished - Resolution: 1280 x 1024 - Effects Quality: Ultra (FPS)",HIB,69.4,69.4,69.2 "Unvanquished - Resolution: 1920 x 1080 - Effects Quality: Ultra (FPS)",HIB,51.4,51.5,51.5 "Unvanquished - Resolution: 1280 x 1024 - Effects Quality: Medium (FPS)",HIB,206.4,205.7,208.3 "Unvanquished - Resolution: 1920 x 1080 - Effects Quality: Medium (FPS)",HIB,164.3,163.0,163.7 "Mobile Neural Network - Model: mobilenetV3 (ms)",LIB,3.107,3.127,3.132 "Mobile Neural Network - Model: squeezenetv1.1 (ms)",LIB,6.453,6.527,6.572 "Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,48.287,48.410,47.334 "Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,10.222,10.358,10.248 "Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,4.240,4.259,4.219 "Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,4.778,4.805,4.721 "Mobile Neural Network - Model: inception-v3 (ms)",LIB,65.480,66.315,65.256 "NCNN - Target: CPU - Model: mobilenet (ms)",LIB,24.31,24.62,24.92 "NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,5.81,5.91,6.05 "NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,5.46,5.48,5.48 "NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,5.25,5.28,5.57 "NCNN - Target: CPU - Model: mnasnet (ms)",LIB,5.57,5.63,5.45 "NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,9.22,8.70,8.84 "NCNN - Target: CPU - Model: blazeface (ms)",LIB,2.36,2.24,2.36 "NCNN - Target: CPU - Model: googlenet (ms)",LIB,20.03,20.04,20.63 "NCNN - Target: CPU - Model: vgg16 (ms)",LIB,72.88,73.24,73.21 "NCNN - Target: CPU - Model: resnet18 (ms)",LIB,19.97,19.95,20.82 "NCNN - Target: CPU - Model: alexnet (ms)",LIB,16.66,16.69,16.67 "NCNN - Target: CPU - Model: resnet50 (ms)",LIB,35.44,36.65,35.90 "NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,35.73,36.38,35.80 "NCNN - Target: CPU - Model: squeezenet_ssd (ms)",LIB,27.79,28.35,28.13 "NCNN - Target: CPU - Model: regnety_400m (ms)",LIB,13.78,13.12,13.85 "TNN - Target: CPU - Model: DenseNet (ms)",LIB,4271.255,4279.603,4212.975 "TNN - Target: CPU - Model: MobileNet v2 (ms)",LIB,380.967,384.501,380.432 "TNN - Target: CPU - Model: SqueezeNet v2 (ms)",LIB,83.041,83.298,82.926 "TNN - Target: CPU - Model: SqueezeNet v1.1 (ms)",LIB,359.799,360.064,359.500