3700X More march AMD Ryzen 7 3700X 8-Core testing with a Gigabyte A320M-S2H-CF (F52a BIOS) and HIS AMD Radeon HD 7750/8740 / R7 250E 1GB on Ubuntu 20.04 via the Phoronix Test Suite. ,,"1","2","3" Processor,,AMD Ryzen 7 3700X 8-Core @ 3.60GHz (8 Cores / 16 Threads),AMD Ryzen 7 3700X 8-Core @ 3.60GHz (8 Cores / 16 Threads),AMD Ryzen 7 3700X 8-Core @ 3.60GHz (8 Cores / 16 Threads) Motherboard,,Gigabyte A320M-S2H-CF (F52a BIOS),Gigabyte A320M-S2H-CF (F52a BIOS),Gigabyte A320M-S2H-CF (F52a BIOS) Chipset,,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse Memory,,8GB,8GB,8GB Disk,,240GB TOSHIBA RC100,240GB TOSHIBA RC100,240GB TOSHIBA RC100 Graphics,,HIS AMD Radeon HD 7750/8740 / R7 250E 1GB,HIS AMD Radeon HD 7750/8740 / R7 250E 1GB,HIS AMD Radeon HD 7750/8740 / R7 250E 1GB Audio,,AMD Oland/Hainan/Cape,AMD Oland/Hainan/Cape,AMD Oland/Hainan/Cape Monitor,,DELL S2409W,DELL S2409W,DELL S2409W Network,,Realtek RTL8111/8168/8411,Realtek RTL8111/8168/8411,Realtek RTL8111/8168/8411 OS,,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04 Kernel,,5.8.1-050801-generic (x86_64),5.8.1-050801-generic (x86_64),5.8.1-050801-generic (x86_64) Desktop,,GNOME Shell 3.36.4,GNOME Shell 3.36.4,GNOME Shell 3.36.4 Display Server,,X Server 1.20.9,X Server 1.20.9,X Server 1.20.9 OpenGL,,4.5 Mesa 20.0.8 (LLVM 10.0.0),4.5 Mesa 20.0.8 (LLVM 10.0.0),4.5 Mesa 20.0.8 (LLVM 10.0.0) Compiler,,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0 File-System,,ext4,ext4,ext4 Screen Resolution,,1920x1080,1920x1080,1920x1080 ,,"1","2","3" "Xcompact3d Incompact3d - Input: input.i3d 129 Cells Per Direction (sec)",LIB,40.3466771,40.4793879,40.7185669 "Xcompact3d Incompact3d - Input: input.i3d 192 Cells Per Direction (sec)",LIB,318.211354,316.528941,317.006622 "SVT-HEVC - Tuning: 1 - Input: Bosphorus 1080p (FPS)",HIB,7.63,7.59,7.61 "SVT-HEVC - Tuning: 7 - Input: Bosphorus 1080p (FPS)",HIB,106.19,105.83,105.92 "SVT-HEVC - Tuning: 10 - Input: Bosphorus 1080p (FPS)",HIB,209.25,209.21,209.45 "SVT-VP9 - Tuning: VMAF Optimized - Input: Bosphorus 1080p (FPS)",HIB,136.60,134.18,135.52 "SVT-VP9 - Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p (FPS)",HIB,143.24,143.51,143.34 "SVT-VP9 - Tuning: Visual Quality Optimized - Input: Bosphorus 1080p (FPS)",HIB,114.39,114.45,114.17 "Timed Mesa Compilation - Time To Compile (sec)",LIB,55.883,55.559,55.758 "oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,5.56715,5.53204,5.53438 "oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,10.2333,10.7400,10.9520 "oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.63018,2.62524,11.59989 "oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.38623,2.68827,2.46096 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,23.0380,23.0943,22.9538 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,8.99245,8.70508,8.71411 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,6.69724,6.74862,6.73558 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,21.0584,21.522,21.2447 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,3.63976,3.64478,3.64264 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,4.62287,4.64339,4.63664 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,3899.22,3936.82,3811.13 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,2758.75,2830.69, "oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,3873.42,3938.80, "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2746.85,2819.51, "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,4.82779,4.94477, "oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,3858.11,3919.20, "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,2743.14,2801.03, "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,3.05660,3.06767, "Sysbench - Test: RAM / Memory (MiB/sec)",HIB,10289.34,10276.90, "Sysbench - Test: CPU (Events/sec)",HIB,17383.33,17341.94,