auggy AMD Ryzen Threadripper 3970X 32-Core testing with a ASUS ROG ZENITH II EXTREME (1603 BIOS) and AMD Radeon RX 5700 8GB on Ubuntu 22.04 via the Phoronix Test Suite. A: Processor: AMD Ryzen Threadripper 3970X 32-Core @ 3.70GHz (32 Cores / 64 Threads), Motherboard: ASUS ROG ZENITH II EXTREME (1603 BIOS), Chipset: AMD Starship/Matisse, Memory: 64GB, Disk: Samsung SSD 980 PRO 500GB, Graphics: AMD Radeon RX 5700 8GB (1750/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS VP28U, Network: Aquantia AQC107 NBase-T/IEEE + Intel I211 + Intel Wi-Fi 6 AX200 OS: Ubuntu 22.04, Kernel: 5.19.0-051900rc7-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.47), Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 3840x2160 B: Processor: AMD Ryzen Threadripper 3970X 32-Core @ 3.70GHz (32 Cores / 64 Threads), Motherboard: ASUS ROG ZENITH II EXTREME (1603 BIOS), Chipset: AMD Starship/Matisse, Memory: 64GB, Disk: Samsung SSD 980 PRO 500GB, Graphics: AMD Radeon RX 5700 8GB (1750/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS VP28U, Network: Aquantia AQC107 NBase-T/IEEE + Intel I211 + Intel Wi-Fi 6 AX200 OS: Ubuntu 22.04, Kernel: 5.19.0-051900rc7-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.47), Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 3840x2160 C: Processor: AMD Ryzen Threadripper 3970X 32-Core @ 3.70GHz (32 Cores / 64 Threads), Motherboard: ASUS ROG ZENITH II EXTREME (1603 BIOS), Chipset: AMD Starship/Matisse, Memory: 64GB, Disk: Samsung SSD 980 PRO 500GB, Graphics: AMD Radeon RX 5700 8GB (1750/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS VP28U, Network: Aquantia AQC107 NBase-T/IEEE + Intel I211 + Intel Wi-Fi 6 AX200 OS: Ubuntu 22.04, Kernel: 5.19.0-051900rc7-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.47), Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 3840x2160 Unvanquished 0.53 Resolution: 1920 x 1080 - Effects Quality: High Frames Per Second > Higher Is Better A . 256.9 |================================================================== B . 265.3 |==================================================================== C . 258.3 |================================================================== Unvanquished 0.53 Resolution: 2560 x 1440 - Effects Quality: High Frames Per Second > Higher Is Better A . 254.0 |==================================================================== B . 251.8 |=================================================================== C . 252.5 |==================================================================== Unvanquished 0.53 Resolution: 3840 x 2160 - Effects Quality: High Frames Per Second > Higher Is Better A . 254.8 |=================================================================== B . 257.5 |==================================================================== C . 257.3 |==================================================================== Unvanquished 0.53 Resolution: 1920 x 1080 - Effects Quality: Ultra Frames Per Second > Higher Is Better A . 249.4 |================================================================== B . 256.1 |==================================================================== C . 253.7 |=================================================================== Unvanquished 0.53 Resolution: 2560 x 1440 - Effects Quality: Ultra Frames Per Second > Higher Is Better A . 253.5 |=================================================================== B . 255.7 |==================================================================== C . 256.7 |==================================================================== Unvanquished 0.53 Resolution: 3840 x 2160 - Effects Quality: Ultra Frames Per Second > Higher Is Better A . 251.7 |==================================================================== B . 250.5 |==================================================================== C . 250.9 |==================================================================== Unvanquished 0.53 Resolution: 1920 x 1080 - Effects Quality: Medium Frames Per Second > Higher Is Better A . 257.0 |============================================================= B . 261.4 |============================================================== C . 285.0 |==================================================================== Unvanquished 0.53 Resolution: 2560 x 1440 - Effects Quality: Medium Frames Per Second > Higher Is Better A . 258.1 |=================================================================== B . 261.4 |==================================================================== C . 260.8 |==================================================================== Unvanquished 0.53 Resolution: 3840 x 2160 - Effects Quality: Medium Frames Per Second > Higher Is Better A . 263.5 |==================================================================== B . 258.1 |================================================================== C . 265.0 |==================================================================== SVT-AV1 1.2 Encoder Mode: Preset 4 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 2.166 |==================================================================== B . 2.171 |==================================================================== C . 2.170 |==================================================================== SVT-AV1 1.2 Encoder Mode: Preset 8 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 57.18 |================================================================== B . 58.51 |==================================================================== C . 58.46 |==================================================================== SVT-AV1 1.2 Encoder Mode: Preset 10 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 98.63 |==================================================================== B . 96.95 |=================================================================== C . 97.24 |=================================================================== SVT-AV1 1.2 Encoder Mode: Preset 12 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 143.11 |=================================================================== B . 140.76 |================================================================== C . 140.19 |================================================================== SVT-AV1 1.2 Encoder Mode: Preset 4 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 4.941 |==================================================================== B . 4.893 |=================================================================== C . 4.814 |================================================================== SVT-AV1 1.2 Encoder Mode: Preset 8 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 95.94 |=================================================================== B . 95.68 |=================================================================== C . 97.13 |==================================================================== SVT-AV1 1.2 Encoder Mode: Preset 10 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 221.70 |=================================================================== B . 220.70 |=================================================================== C . 214.02 |================================================================= SVT-AV1 1.2 Encoder Mode: Preset 12 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 328.69 |================================================================== B . 333.74 |=================================================================== C . 333.07 |=================================================================== Mobile Neural Network 2.0 Model: mobilenetV3 ms < Lower Is Better A . 2.117 |==================================================================== B . 2.105 |==================================================================== C . 2.098 |=================================================================== Mobile Neural Network 2.0 Model: squeezenetv1.1 ms < Lower Is Better A . 3.430 |=================================================================== B . 3.383 |================================================================== C . 3.461 |==================================================================== Mobile Neural Network 2.0 Model: resnet-v2-50 ms < Lower Is Better A . 18.56 |=================================================================== B . 18.94 |==================================================================== C . 18.73 |=================================================================== Mobile Neural Network 2.0 Model: SqueezeNetV1.0 ms < Lower Is Better A . 5.230 |=================================================================== B . 5.272 |=================================================================== C . 5.331 |==================================================================== Mobile Neural Network 2.0 Model: MobileNetV2_224 ms < Lower Is Better A . 3.779 |=================================================================== B . 3.740 |=================================================================== C . 3.810 |==================================================================== Mobile Neural Network 2.0 Model: mobilenet-v1-1.0 ms < Lower Is Better A . 2.628 |==================================================================== B . 2.634 |==================================================================== C . 2.646 |==================================================================== Mobile Neural Network 2.0 Model: inception-v3 ms < Lower Is Better A . 20.42 |================================================================== B . 20.91 |==================================================================== C . 20.63 |=================================================================== NCNN 20220729 Target: CPU - Model: mobilenet ms < Lower Is Better A . 15.32 |=================================================================== B . 15.51 |==================================================================== C . 15.48 |==================================================================== NCNN 20220729 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better A . 7.31 |===================================================================== B . 7.26 |===================================================================== C . 7.26 |===================================================================== NCNN 20220729 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better A . 6.87 |===================================================================== B . 6.81 |==================================================================== C . 6.83 |===================================================================== NCNN 20220729 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better A . 8.27 |===================================================================== B . 8.27 |===================================================================== C . 8.29 |===================================================================== NCNN 20220729 Target: CPU - Model: mnasnet ms < Lower Is Better A . 6.74 |===================================================================== B . 6.68 |==================================================================== C . 6.73 |===================================================================== NCNN 20220729 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better A . 9.77 |===================================================================== B . 9.75 |===================================================================== C . 9.71 |===================================================================== NCNN 20220729 Target: CPU - Model: blazeface ms < Lower Is Better A . 3.98 |===================================================================== B . 3.92 |==================================================================== C . 3.92 |==================================================================== NCNN 20220729 Target: CPU - Model: googlenet ms < Lower Is Better A . 17.76 |=============================================================== B . 19.03 |==================================================================== C . 17.49 |============================================================== NCNN 20220729 Target: CPU - Model: vgg16 ms < Lower Is Better A . 28.32 |================================================================= B . 29.64 |==================================================================== C . 28.11 |================================================================ NCNN 20220729 Target: CPU - Model: resnet18 ms < Lower Is Better A . 11.10 |========================================================= B . 13.18 |==================================================================== C . 11.46 |=========================================================== NCNN 20220729 Target: CPU - Model: alexnet ms < Lower Is Better A . 8.38 |============================================================ B . 9.60 |===================================================================== C . 8.58 |============================================================== NCNN 20220729 Target: CPU - Model: resnet50 ms < Lower Is Better A . 18.95 |=========================================================== B . 21.93 |==================================================================== C . 19.37 |============================================================ NCNN 20220729 Target: CPU - Model: yolov4-tiny ms < Lower Is Better A . 23.06 |================================================================= B . 24.07 |==================================================================== C . 23.76 |=================================================================== NCNN 20220729 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better A . 20.07 |================================================================ B . 21.23 |==================================================================== C . 20.40 |================================================================= NCNN 20220729 Target: CPU - Model: regnety_400m ms < Lower Is Better A . 29.34 |==================================================================== B . 29.31 |==================================================================== C . 29.04 |=================================================================== NCNN 20220729 Target: CPU - Model: vision_transformer ms < Lower Is Better A . 122.32 |================================================================== B . 123.33 |=================================================================== C . 122.53 |=================================================================== NCNN 20220729 Target: CPU - Model: FastestDet ms < Lower Is Better A . 9.49 |===================================================================== B . 9.45 |===================================================================== C . 9.42 |====================================================================