1280 nn Intel Xeon E3-1280 v5 testing with a MSI Z170A SLI PLUS (MS-7998) v1.0 (2.A0 BIOS) and ASUS AMD Radeon HD 7850 / R7 265 R9 270 1024SP on Ubuntu 20.04 via the Phoronix Test Suite. 1: Processor: Intel Xeon E3-1280 v5 @ 4.00GHz (4 Cores / 8 Threads), Motherboard: MSI Z170A SLI PLUS (MS-7998) v1.0 (2.A0 BIOS), Chipset: Intel Xeon E3-1200 v5/E3-1500, Memory: 32GB, Disk: 256GB TOSHIBA RD400, Graphics: ASUS AMD Radeon HD 7850 / R7 265 R9 270 1024SP, Audio: Realtek ALC1150, Monitor: VA2431, Network: Intel I219-V OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc2daily20200826-generic (x86_64) 20200825, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.9, OpenGL: 4.5 Mesa 20.0.8 (LLVM 10.0.0), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 2: Processor: Intel Xeon E3-1280 v5 @ 4.00GHz (4 Cores / 8 Threads), Motherboard: MSI Z170A SLI PLUS (MS-7998) v1.0 (2.A0 BIOS), Chipset: Intel Xeon E3-1200 v5/E3-1500, Memory: 32GB, Disk: 256GB TOSHIBA RD400, Graphics: ASUS AMD Radeon HD 7850 / R7 265 R9 270 1024SP, Audio: Realtek ALC1150, Monitor: VA2431, Network: Intel I219-V OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc2daily20200826-generic (x86_64) 20200825, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.9, OpenGL: 4.5 Mesa 20.0.8 (LLVM 10.0.0), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 3: Processor: Intel Xeon E3-1280 v5 @ 4.00GHz (4 Cores / 8 Threads), Motherboard: MSI Z170A SLI PLUS (MS-7998) v1.0 (2.A0 BIOS), Chipset: Intel Xeon E3-1200 v5/E3-1500, Memory: 32GB, Disk: 256GB TOSHIBA RD400, Graphics: ASUS AMD Radeon HD 7850 / R7 265 R9 270 1024SP, Audio: Realtek ALC1150, Monitor: VA2431, Network: Intel I219-V OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc2daily20200826-generic (x86_64) 20200825, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.9, OpenGL: 4.5 Mesa 20.0.8 (LLVM 10.0.0), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 TNN 0.3 Target: CPU - Model: DenseNet ms < Lower Is Better 1 . 4517.98 |================================================================== 2 . 4523.53 |================================================================== 3 . 4527.51 |================================================================== Mobile Neural Network 1.2 Model: inception-v3 ms < Lower Is Better 1 . 51.14 |=================================================================== 2 . 51.61 |==================================================================== 3 . 51.77 |==================================================================== Mobile Neural Network 1.2 Model: mobilenet-v1-1.0 ms < Lower Is Better 1 . 4.503 |==================================================================== 2 . 4.508 |==================================================================== 3 . 4.523 |==================================================================== Mobile Neural Network 1.2 Model: MobileNetV2_224 ms < Lower Is Better 1 . 4.602 |=================================================================== 2 . 4.644 |==================================================================== 3 . 4.651 |==================================================================== Mobile Neural Network 1.2 Model: SqueezeNetV1.0 ms < Lower Is Better 1 . 6.715 |==================================================================== 2 . 6.735 |==================================================================== 3 . 6.743 |==================================================================== Mobile Neural Network 1.2 Model: resnet-v2-50 ms < Lower Is Better 1 . 44.09 |==================================================================== 2 . 44.29 |==================================================================== 3 . 44.27 |==================================================================== Mobile Neural Network 1.2 Model: squeezenetv1.1 ms < Lower Is Better 1 . 4.558 |=================================================================== 2 . 4.607 |==================================================================== 3 . 4.610 |==================================================================== Mobile Neural Network 1.2 Model: mobilenetV3 ms < Lower Is Better 1 . 2.623 |==================================================================== 2 . 2.627 |==================================================================== 3 . 2.631 |==================================================================== NCNN 20210525 Target: CPU - Model: regnety_400m ms < Lower Is Better 1 . 11.82 |==================================================================== 2 . 11.85 |==================================================================== 3 . 11.84 |==================================================================== NCNN 20210525 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better 1 . 30.28 |==================================================================== 2 . 30.12 |==================================================================== 3 . 30.21 |==================================================================== NCNN 20210525 Target: CPU - Model: yolov4-tiny ms < Lower Is Better 1 . 37.62 |==================================================================== 2 . 37.54 |==================================================================== 3 . 37.70 |==================================================================== NCNN 20210525 Target: CPU - Model: resnet50 ms < Lower Is Better 1 . 40.64 |==================================================================== 2 . 40.60 |==================================================================== 3 . 40.64 |==================================================================== NCNN 20210525 Target: CPU - Model: alexnet ms < Lower Is Better 1 . 19.85 |==================================================================== 2 . 19.68 |=================================================================== 3 . 19.85 |==================================================================== NCNN 20210525 Target: CPU - Model: resnet18 ms < Lower Is Better 1 . 21.98 |==================================================================== 2 . 22.03 |==================================================================== 3 . 22.02 |==================================================================== NCNN 20210525 Target: CPU - Model: vgg16 ms < Lower Is Better 1 . 91.02 |==================================================================== 2 . 91.15 |==================================================================== 3 . 91.45 |==================================================================== NCNN 20210525 Target: CPU - Model: googlenet ms < Lower Is Better 1 . 19.96 |==================================================================== 2 . 19.95 |==================================================================== 3 . 20.07 |==================================================================== NCNN 20210525 Target: CPU - Model: blazeface ms < Lower Is Better 1 . 1.91 |=================================================================== 2 . 1.91 |=================================================================== 3 . 1.96 |===================================================================== NCNN 20210525 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 9.41 |==================================================================== 2 . 9.43 |===================================================================== 3 . 9.49 |===================================================================== NCNN 20210525 Target: CPU - Model: mnasnet ms < Lower Is Better 1 . 5.65 |===================================================================== 2 . 5.64 |===================================================================== 3 . 5.68 |===================================================================== NCNN 20210525 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 4.85 |===================================================================== 2 . 4.85 |===================================================================== 3 . 4.86 |===================================================================== NCNN 20210525 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 5.74 |==================================================================== 2 . 5.74 |==================================================================== 3 . 5.79 |===================================================================== NCNN 20210525 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 6.82 |==================================================================== 2 . 6.82 |==================================================================== 3 . 6.89 |===================================================================== NCNN 20210525 Target: CPU - Model: mobilenet ms < Lower Is Better 1 . 25.96 |==================================================================== 2 . 25.74 |=================================================================== 3 . 25.87 |==================================================================== TNN 0.3 Target: CPU - Model: MobileNet v2 ms < Lower Is Better 1 . 391.27 |=================================================================== 2 . 389.95 |=================================================================== 3 . 389.91 |=================================================================== TNN 0.3 Target: CPU - Model: SqueezeNet v1.1 ms < Lower Is Better 1 . 341.87 |=================================================================== 2 . 341.41 |=================================================================== 3 . 340.96 |=================================================================== TNN 0.3 Target: CPU - Model: SqueezeNet v2 ms < Lower Is Better 1 . 80.91 |==================================================================== 2 . 80.89 |==================================================================== 3 . 80.97 |====================================================================