nn cxl x Intel Core i9-10980XE testing with a ASRock X299 Steel Legend (P1.30 BIOS) and llvmpipe on Ubuntu 22.04 via the Phoronix Test Suite. A: 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: llvmpipe, Audio: Realtek ALC1220, Network: Intel I219-V + Intel I211 OS: Ubuntu 22.04, Kernel: 5.19.0-051900rc7-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.3, OpenGL: 4.5 Mesa 22.0.1 (LLVM 13.0.1 256 bits), Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1024x768 B: 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: llvmpipe, Audio: Realtek ALC1220, Network: Intel I219-V + Intel I211 OS: Ubuntu 22.04, Kernel: 5.19.0-051900rc7-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.3, OpenGL: 4.5 Mesa 22.0.1 (LLVM 13.0.1 256 bits), Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1024x768 C: 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: llvmpipe, Audio: Realtek ALC1220, Network: Intel I219-V + Intel I211 OS: Ubuntu 22.04, Kernel: 5.19.0-051900rc7-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.3, OpenGL: 4.5 Mesa 22.0.1 (LLVM 13.0.1 256 bits), Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1024x768 SVT-AV1 1.2 Encoder Mode: Preset 4 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 1.549 |=================================================================== B . 1.566 |==================================================================== C . 1.567 |==================================================================== SVT-AV1 1.2 Encoder Mode: Preset 8 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 39.35 |==================================================================== B . 39.11 |==================================================================== C . 38.60 |=================================================================== SVT-AV1 1.2 Encoder Mode: Preset 10 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 74.13 |==================================================================== B . 72.92 |=================================================================== C . 72.57 |=================================================================== SVT-AV1 1.2 Encoder Mode: Preset 12 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 104.01 |================================================================== B . 105.72 |=================================================================== C . 105.92 |=================================================================== SVT-AV1 1.2 Encoder Mode: Preset 4 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 3.670 |==================================================================== B . 3.664 |==================================================================== C . 3.640 |=================================================================== SVT-AV1 1.2 Encoder Mode: Preset 8 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 73.80 |=================================================================== B . 75.44 |==================================================================== C . 74.63 |=================================================================== SVT-AV1 1.2 Encoder Mode: Preset 10 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 150.99 |=================================================================== B . 141.19 |=============================================================== C . 148.73 |================================================================== SVT-AV1 1.2 Encoder Mode: Preset 12 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 166.39 |================================================================= B . 168.95 |================================================================== C . 171.43 |=================================================================== Mobile Neural Network 2.0 Model: mobilenetV3 ms < Lower Is Better A . 2.174 |==================================================================== B . 2.182 |==================================================================== C . 1.900 |=========================================================== Mobile Neural Network 2.0 Model: squeezenetv1.1 ms < Lower Is Better A . 2.404 |=================================================================== B . 2.423 |==================================================================== C . 2.352 |================================================================== Mobile Neural Network 2.0 Model: resnet-v2-50 ms < Lower Is Better A . 9.902 |================================================================== B . 10.099 |=================================================================== C . 9.374 |============================================================== Mobile Neural Network 2.0 Model: SqueezeNetV1.0 ms < Lower Is Better A . 4.496 |================================================================= B . 4.733 |==================================================================== C . 4.449 |================================================================ Mobile Neural Network 2.0 Model: MobileNetV2_224 ms < Lower Is Better A . 3.477 |================================================================ B . 3.667 |==================================================================== C . 3.442 |================================================================ Mobile Neural Network 2.0 Model: mobilenet-v1-1.0 ms < Lower Is Better A . 2.415 |=============================================================== B . 2.602 |==================================================================== C . 2.558 |=================================================================== Mobile Neural Network 2.0 Model: inception-v3 ms < Lower Is Better A . 20.45 |================================================================= B . 21.34 |==================================================================== C . 20.68 |================================================================== NCNN 20220729 Target: CPU - Model: mobilenet ms < Lower Is Better A . 14.73 |==================================================================== B . 14.50 |=================================================================== C . 14.17 |================================================================= NCNN 20220729 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better A . 5.56 |===================================================================== B . 5.49 |==================================================================== C . 5.48 |==================================================================== NCNN 20220729 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better A . 4.95 |===================================================================== B . 4.96 |===================================================================== C . 4.95 |===================================================================== NCNN 20220729 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better A . 5.44 |==================================================================== B . 5.48 |===================================================================== C . 5.46 |===================================================================== NCNN 20220729 Target: CPU - Model: mnasnet ms < Lower Is Better A . 4.81 |===================================================================== B . 4.79 |===================================================================== C . 4.80 |===================================================================== NCNN 20220729 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better A . 7.27 |===================================================================== B . 7.06 |=================================================================== C . 6.96 |================================================================== NCNN 20220729 Target: CPU - Model: blazeface ms < Lower Is Better A . 2.30 |==================================================================== B . 2.35 |===================================================================== C . 2.34 |===================================================================== NCNN 20220729 Target: CPU - Model: googlenet ms < Lower Is Better A . 11.58 |==================================================================== B . 11.63 |==================================================================== C . 11.44 |=================================================================== NCNN 20220729 Target: CPU - Model: vgg16 ms < Lower Is Better A . 32.52 |==================================================================== B . 31.64 |================================================================== C . 32.31 |==================================================================== NCNN 20220729 Target: CPU - Model: resnet18 ms < Lower Is Better A . 8.55 |==================================================================== B . 8.64 |===================================================================== C . 8.59 |===================================================================== NCNN 20220729 Target: CPU - Model: alexnet ms < Lower Is Better A . 6.09 |=================================================================== B . 6.08 |=================================================================== C . 6.27 |===================================================================== NCNN 20220729 Target: CPU - Model: resnet50 ms < Lower Is Better A . 14.88 |==================================================================== B . 14.69 |=================================================================== C . 14.86 |==================================================================== NCNN 20220729 Target: CPU - Model: yolov4-tiny ms < Lower Is Better A . 24.20 |==================================================================== B . 24.11 |==================================================================== C . 24.00 |=================================================================== NCNN 20220729 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better A . 17.80 |==================================================================== B . 17.64 |=================================================================== C . 17.57 |=================================================================== NCNN 20220729 Target: CPU - Model: regnety_400m ms < Lower Is Better A . 18.60 |================================================================== B . 19.07 |==================================================================== C . 18.89 |=================================================================== NCNN 20220729 Target: CPU - Model: vision_transformer ms < Lower Is Better A . 151.66 |=================================================================== B . 152.08 |=================================================================== C . 151.34 |=================================================================== NCNN 20220729 Target: CPU - Model: FastestDet ms < Lower Is Better A . 6.49 |==================================================================== B . 6.61 |===================================================================== C . 6.46 |===================================================================