3900XT AMD Ryzen 9 3900XT 12-Core testing with a MSI MEG X570 GODLIKE (MS-7C34) v1.0 (1.94 BIOS) and AMD Radeon RX 56/64 8GB on Ubuntu 20.04 via the Phoronix Test Suite. 1: Processor: AMD Ryzen 9 3900XT 12-Core @ 3.80GHz (12 Cores / 24 Threads), Motherboard: MSI MEG X570 GODLIKE (MS-7C34) v1.0 (1.94 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 500GB Seagate FireCuda 520 SSD ZP500GM30002, Graphics: AMD Radeon RX 56/64 8GB (1630/945MHz), Audio: AMD Vega 10 HDMI Audio, Monitor: ASUS MG28U, Network: Realtek Device 2600 + Realtek Device 3000 + Intel Wi-Fi 6 AX200 OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc6daily20200922-generic (x86_64) 20200921, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-31f75aa 2020-08-28 focal-oibaf-ppa) (LLVM 10.0.1), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 3840x2160 2: Processor: AMD Ryzen 9 3900XT 12-Core @ 3.80GHz (12 Cores / 24 Threads), Motherboard: MSI MEG X570 GODLIKE (MS-7C34) v1.0 (1.94 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 500GB Seagate FireCuda 520 SSD ZP500GM30002, Graphics: AMD Radeon RX 56/64 8GB (1630/945MHz), Audio: AMD Vega 10 HDMI Audio, Monitor: ASUS MG28U, Network: Realtek Device 2600 + Realtek Device 3000 + Intel Wi-Fi 6 AX200 OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc6daily20200922-generic (x86_64) 20200921, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-31f75aa 2020-08-28 focal-oibaf-ppa) (LLVM 10.0.1), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 3840x2160 3: Processor: AMD Ryzen 9 3900XT 12-Core @ 3.80GHz (12 Cores / 24 Threads), Motherboard: MSI MEG X570 GODLIKE (MS-7C34) v1.0 (1.94 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 500GB Seagate FireCuda 520 SSD ZP500GM30002, Graphics: AMD Radeon RX 56/64 8GB (1630/945MHz), Audio: AMD Vega 10 HDMI Audio, Monitor: ASUS MG28U, Network: Realtek Device 2600 + Realtek Device 3000 + Intel Wi-Fi 6 AX200 OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc6daily20200922-generic (x86_64) 20200921, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-31f75aa 2020-08-28 focal-oibaf-ppa) (LLVM 10.0.1), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 3840x2160 RealSR-NCNN 20200818 Scale: 4x - TAA: No Seconds < Lower Is Better 1 . 9.889 |==================================================================== 2 . 9.763 |=================================================================== 3 . 9.796 |=================================================================== RealSR-NCNN 20200818 Scale: 4x - TAA: Yes Seconds < Lower Is Better 1 . 63.57 |==================================================================== 2 . 63.70 |==================================================================== 3 . 63.36 |==================================================================== WebP Image Encode 1.1 Encode Settings: Default Encode Time - Seconds < Lower Is Better 1 . 1.393 |=================================================================== 2 . 1.399 |==================================================================== 3 . 1.409 |==================================================================== WebP Image Encode 1.1 Encode Settings: Quality 100 Encode Time - Seconds < Lower Is Better 1 . 2.129 |=================================================================== 2 . 2.167 |==================================================================== 3 . 2.149 |=================================================================== WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless Encode Time - Seconds < Lower Is Better 1 . 15.24 |================================================================== 2 . 15.61 |==================================================================== 3 . 15.57 |==================================================================== WebP Image Encode 1.1 Encode Settings: Quality 100, Highest Compression Encode Time - Seconds < Lower Is Better 1 . 6.794 |==================================================================== 2 . 6.617 |================================================================== 3 . 6.745 |==================================================================== WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless, Highest Compression Encode Time - Seconds < Lower Is Better 1 . 32.17 |==================================================================== 2 . 31.48 |================================================================== 3 . 32.26 |==================================================================== dcraw RAW To PPM Image Conversion Seconds < Lower Is Better 1 . 38.10 |==================================================================== 2 . 36.97 |================================================================== 3 . 37.98 |==================================================================== eSpeak-NG Speech Engine 20200907 Text-To-Speech Synthesis Seconds < Lower Is Better 1 . 26.51 |=================================================================== 2 . 26.59 |=================================================================== 3 . 26.85 |==================================================================== MPV Video Input: Big Buck Bunny Sunflower 4K - Decode: Software Only FPS > Higher Is Better 1 . 644.02 |=================================================================== 2 . 641.54 |=================================================================== 3 . 642.80 |=================================================================== MPV Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only FPS > Higher Is Better 1 . 2129.61 |================================================================== 2 . 2108.26 |================================================================= 3 . 2116.86 |================================================================== NCNN 20200916 Target: CPU - Model: squeezenet ms < Lower Is Better 1 . 15.74 |=================================================================== 2 . 15.92 |==================================================================== 3 . 15.76 |=================================================================== NCNN 20200916 Target: CPU - Model: mobilenet ms < Lower Is Better 1 . 16.19 |==================================================================== 2 . 16.24 |==================================================================== 3 . 16.11 |=================================================================== NCNN 20200916 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 5.36 |==================================================================== 2 . 5.40 |===================================================================== 3 . 5.37 |===================================================================== NCNN 20200916 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 4.73 |==================================================================== 2 . 4.77 |===================================================================== 3 . 4.72 |==================================================================== NCNN 20200916 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 4.85 |===================================================================== 2 . 4.84 |===================================================================== 3 . 4.87 |===================================================================== NCNN 20200916 Target: CPU - Model: mnasnet ms < Lower Is Better 1 . 4.79 |==================================================================== 2 . 4.83 |===================================================================== 3 . 4.84 |===================================================================== NCNN 20200916 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 6.56 |===================================================================== 2 . 6.59 |===================================================================== 3 . 6.58 |===================================================================== NCNN 20200916 Target: CPU - Model: blazeface ms < Lower Is Better 1 . 1.91 |===================================================================== 2 . 1.92 |===================================================================== 3 . 1.91 |===================================================================== NCNN 20200916 Target: CPU - Model: googlenet ms < Lower Is Better 1 . 16.86 |==================================================================== 2 . 16.98 |==================================================================== 3 . 16.95 |==================================================================== NCNN 20200916 Target: CPU - Model: vgg16 ms < Lower Is Better 1 . 66.59 |==================================================================== 2 . 66.58 |==================================================================== 3 . 66.93 |==================================================================== NCNN 20200916 Target: CPU - Model: resnet18 ms < Lower Is Better 1 . 16.06 |=================================================================== 2 . 16.15 |=================================================================== 3 . 16.27 |==================================================================== NCNN 20200916 Target: CPU - Model: alexnet ms < Lower Is Better 1 . 15.99 |==================================================================== 2 . 16.10 |==================================================================== 3 . 16.05 |==================================================================== NCNN 20200916 Target: CPU - Model: resnet50 ms < Lower Is Better 1 . 27.22 |=================================================================== 2 . 27.48 |==================================================================== 3 . 27.40 |==================================================================== NCNN 20200916 Target: CPU - Model: yolov4-tiny ms < Lower Is Better 1 . 27.77 |=================================================================== 2 . 28.09 |==================================================================== 3 . 27.96 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: squeezenet ms < Lower Is Better 1 . 4.70 |===================================================================== 2 . 4.71 |===================================================================== 3 . 4.69 |===================================================================== NCNN 20200916 Target: Vulkan GPU - Model: mobilenet ms < Lower Is Better 1 . 7.74 |===================================================================== 2 . 7.77 |===================================================================== 3 . 7.67 |==================================================================== NCNN 20200916 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 2.50 |===================================================================== 2 . 2.49 |===================================================================== 3 . 2.50 |===================================================================== NCNN 20200916 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 3.51 |===================================================================== 2 . 3.50 |===================================================================== 3 . 3.52 |===================================================================== NCNN 20200916 Target: Vulkan GPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 2.27 |===================================================================== 2 . 2.28 |===================================================================== 3 . 2.26 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: mnasnet ms < Lower Is Better 1 . 2.68 |===================================================================== 2 . 2.67 |==================================================================== 3 . 2.69 |===================================================================== NCNN 20200916 Target: Vulkan GPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 10.60 |==================================================================== 2 . 10.61 |==================================================================== 3 . 10.40 |=================================================================== NCNN 20200916 Target: Vulkan GPU - Model: blazeface ms < Lower Is Better 1 . 0.86 |===================================================================== 2 . 0.85 |==================================================================== 3 . 0.86 |===================================================================== NCNN 20200916 Target: Vulkan GPU - Model: googlenet ms < Lower Is Better 1 . 5.66 |==================================================================== 2 . 5.75 |===================================================================== 3 . 5.72 |===================================================================== NCNN 20200916 Target: Vulkan GPU - Model: vgg16 ms < Lower Is Better 1 . 11.56 |=================================================================== 2 . 11.78 |==================================================================== 3 . 11.69 |=================================================================== NCNN 20200916 Target: Vulkan GPU - Model: resnet18 ms < Lower Is Better 1 . 2.08 |==================================================================== 2 . 2.10 |===================================================================== 3 . 2.10 |===================================================================== NCNN 20200916 Target: Vulkan GPU - Model: alexnet ms < Lower Is Better 1 . 3.91 |===================================================================== 2 . 3.93 |===================================================================== 3 . 3.92 |===================================================================== NCNN 20200916 Target: Vulkan GPU - Model: resnet50 ms < Lower Is Better 1 . 5.96 |================================================================== 2 . 6.15 |==================================================================== 3 . 6.25 |===================================================================== NCNN 20200916 Target: Vulkan GPU - Model: yolov4-tiny ms < Lower Is Better 1 . 10.76 |==================================================================== 2 . 10.66 |=================================================================== 3 . 10.69 |==================================================================== TNN 0.2.3 Target: CPU - Model: MobileNet v2 ms < Lower Is Better 1 . 245.47 |=================================================================== 2 . 241.86 |================================================================== 3 . 243.31 |================================================================== TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 ms < Lower Is Better 1 . 227.26 |================================================================== 2 . 228.78 |================================================================== 3 . 231.19 |===================================================================