10980xe eo june Intel Core i9-10980XE testing with a ASRock X299 Steel Legend (P1.30 BIOS) and NVIDIA NV132 11GB on Ubuntu 21.04 via the Phoronix Test Suite. 1: Processor: Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads), Motherboard: ASRock X299 Steel Legend (P1.30 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 32GB, Disk: Samsung SSD 970 PRO 512GB, Graphics: NVIDIA NV132 11GB, Audio: Realtek ALC1220, Monitor: ASUS VP28U, Network: Intel I219-V + Intel I211 OS: Ubuntu 21.04, Kernel: 5.11.0-17-generic (x86_64), Desktop: GNOME Shell 3.38.4, Display Server: X Server + Wayland, Display Driver: nouveau, OpenGL: 4.3 Mesa 21.0.1, Vulkan: 1.0.2, Compiler: GCC 10.3.0, File-System: ext4, Screen Resolution: 2560x1600 2: Processor: Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads), Motherboard: ASRock X299 Steel Legend (P1.30 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 32GB, Disk: Samsung SSD 970 PRO 512GB, Graphics: NVIDIA NV132 11GB, Audio: Realtek ALC1220, Monitor: ASUS VP28U, Network: Intel I219-V + Intel I211 OS: Ubuntu 21.04, Kernel: 5.11.0-17-generic (x86_64), Desktop: GNOME Shell 3.38.4, Display Server: X Server + Wayland, Display Driver: nouveau, OpenGL: 4.3 Mesa 21.0.1, Vulkan: 1.0.2, Compiler: GCC 10.3.0, File-System: ext4, Screen Resolution: 2560x1600 3: Processor: Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads), Motherboard: ASRock X299 Steel Legend (P1.30 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 32GB, Disk: Samsung SSD 970 PRO 512GB, Graphics: NVIDIA NV132 11GB, Audio: Realtek ALC1220, Monitor: ASUS VP28U, Network: Intel I219-V + Intel I211 OS: Ubuntu 21.04, Kernel: 5.11.0-17-generic (x86_64), Desktop: GNOME Shell 3.38.4, Display Server: X Server + Wayland, Display Driver: nouveau, OpenGL: 4.3 Mesa 21.0.1, Vulkan: 1.0.2, Compiler: GCC 10.3.0, File-System: ext4, Screen Resolution: 2560x1600 C-Blosc 2.0 Compressor: blosclz MB/s > Higher Is Better 1 . 12212.2 |================================================================== 2 . 11989.0 |================================================================= 3 . 12033.6 |================================================================= Mobile Neural Network 1.2 Model: mobilenetV3 ms < Lower Is Better 1 . 2.445 |=================================================================== 2 . 2.467 |==================================================================== 3 . 2.271 |=============================================================== Mobile Neural Network 1.2 Model: squeezenetv1.1 ms < Lower Is Better 1 . 4.890 |==================================================================== 2 . 4.763 |================================================================== 3 . 4.465 |============================================================== Mobile Neural Network 1.2 Model: resnet-v2-50 ms < Lower Is Better 1 . 31.04 |==================================================================== 2 . 31.11 |==================================================================== 3 . 28.96 |=============================================================== Mobile Neural Network 1.2 Model: SqueezeNetV1.0 ms < Lower Is Better 1 . 6.124 |==================================================================== 2 . 6.157 |==================================================================== 3 . 5.886 |================================================================= Mobile Neural Network 1.2 Model: MobileNetV2_224 ms < Lower Is Better 1 . 3.939 |=================================================================== 2 . 3.988 |==================================================================== 3 . 3.846 |================================================================== Mobile Neural Network 1.2 Model: mobilenet-v1-1.0 ms < Lower Is Better 1 . 2.757 |==================================================================== 2 . 2.721 |=================================================================== 3 . 2.716 |=================================================================== Mobile Neural Network 1.2 Model: inception-v3 ms < Lower Is Better 1 . 33.09 |==================================================================== 2 . 33.31 |==================================================================== 3 . 32.75 |=================================================================== NCNN 20210525 Target: CPU - Model: mobilenet ms < Lower Is Better 1 . 15.00 |=================================================================== 2 . 15.12 |==================================================================== 3 . 14.78 |================================================================== NCNN 20210525 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 5.27 |===================================================================== 2 . 5.21 |==================================================================== 3 . 5.14 |=================================================================== NCNN 20210525 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 4.67 |=================================================================== 2 . 4.73 |==================================================================== 3 . 4.79 |===================================================================== NCNN 20210525 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 5.08 |===================================================================== 2 . 5.09 |===================================================================== 3 . 5.10 |===================================================================== NCNN 20210525 Target: CPU - Model: mnasnet ms < Lower Is Better 1 . 4.89 |==================================================================== 2 . 4.82 |=================================================================== 3 . 4.98 |===================================================================== NCNN 20210525 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 6.46 |==================================================================== 2 . 6.53 |==================================================================== 3 . 6.58 |===================================================================== NCNN 20210525 Target: CPU - Model: blazeface ms < Lower Is Better 1 . 2.50 |==================================================================== 2 . 2.52 |===================================================================== 3 . 2.50 |==================================================================== NCNN 20210525 Target: CPU - Model: googlenet ms < Lower Is Better 1 . 12.64 |=============================================================== 2 . 13.58 |==================================================================== 3 . 12.73 |================================================================ NCNN 20210525 Target: CPU - Model: vgg16 ms < Lower Is Better 1 . 36.66 |=================================================================== 2 . 37.21 |==================================================================== 3 . 36.33 |================================================================== NCNN 20210525 Target: CPU - Model: resnet18 ms < Lower Is Better 1 . 11.31 |================================================================= 2 . 11.78 |==================================================================== 3 . 11.08 |================================================================ NCNN 20210525 Target: CPU - Model: alexnet ms < Lower Is Better 1 . 9.52 |=================================================================== 2 . 9.77 |===================================================================== 3 . 9.43 |=================================================================== NCNN 20210525 Target: CPU - Model: resnet50 ms < Lower Is Better 1 . 18.23 |================================================================= 2 . 19.15 |==================================================================== 3 . 17.94 |================================================================ NCNN 20210525 Target: CPU - Model: yolov4-tiny ms < Lower Is Better 1 . 23.63 |=================================================================== 2 . 23.73 |==================================================================== 3 . 23.83 |==================================================================== NCNN 20210525 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better 1 . 15.97 |=================================================================== 2 . 16.22 |==================================================================== 3 . 15.86 |================================================================== NCNN 20210525 Target: CPU - Model: regnety_400m ms < Lower Is Better 1 . 14.28 |=================================================================== 2 . 14.42 |==================================================================== 3 . 14.34 |==================================================================== TNN 0.3 Target: CPU - Model: DenseNet ms < Lower Is Better 1 . 3444.75 |================================================================== 2 . 3444.95 |================================================================== 3 . 3456.84 |================================================================== TNN 0.3 Target: CPU - Model: MobileNet v2 ms < Lower Is Better 1 . 313.38 |=================================================================== 2 . 313.43 |=================================================================== 3 . 313.30 |=================================================================== TNN 0.3 Target: CPU - Model: SqueezeNet v2 ms < Lower Is Better 1 . 67.69 |==================================================================== 2 . 67.59 |==================================================================== 3 . 67.66 |==================================================================== TNN 0.3 Target: CPU - Model: SqueezeNet v1.1 ms < Lower Is Better 1 . 278.34 |=================================================================== 2 . 278.42 |=================================================================== 3 . 278.44 |===================================================================