ryzen 7 3700x dec 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","4" 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),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),Gigabyte A320M-S2H-CF (F52a BIOS) Chipset,,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse Memory,,8GB,8GB,8GB,8GB Disk,,240GB TOSHIBA RC100,240GB 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,HIS AMD Radeon HD 7750/8740 / R7 250E 1GB Audio,,AMD Oland/Hainan/Cape,AMD Oland/Hainan/Cape,AMD Oland/Hainan/Cape,AMD Oland/Hainan/Cape Monitor,,VA2431,VA2431,VA2431,VA2431 Network,,Realtek RTL8111/8168/8411,Realtek RTL8111/8168/8411,Realtek RTL8111/8168/8411,Realtek RTL8111/8168/8411 OS,,Ubuntu 20.04,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),5.8.1-050801-generic (x86_64) Desktop,,GNOME Shell 3.36.4,GNOME Shell 3.36.4,GNOME Shell 3.36.4,GNOME Shell 3.36.4 Display Server,,X Server 1.20.8,X Server 1.20.8,X Server 1.20.8,X Server 1.20.8 Display Driver,,modesetting 1.20.8,modesetting 1.20.8,modesetting 1.20.8,modesetting 1.20.8 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),4.5 Mesa 20.0.8 (LLVM 10.0.0) Compiler,,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0 File-System,,ext4,ext4,ext4,ext4 Screen Resolution,,1920x1080,1920x1080,1920x1080,1920x1080 ,,"1","2","3","4" "High Performance Conjugate Gradient - (GFLOP/s)",HIB,4.15940,4.13952,4.14396,4.18942 "CLOMP - Static OMP Speedup (Speedup)",HIB,23.0,23.4,23.4,23.2 "Timed HMMer Search - Pfam Database Search (sec)",LIB,107.499,107.861,108.068,107.122 "simdjson - Throughput Test: Kostya (GB/s)",HIB,0.59,0.59,0.59,0.59 "simdjson - Throughput Test: LargeRandom (GB/s)",HIB,0.43,0.42,0.43,0.43 "simdjson - Throughput Test: PartialTweets (GB/s)",HIB,0.69,0.68,0.67,0.68 "simdjson - Throughput Test: DistinctUserID (GB/s)",HIB,0.7,0.70,0.70,0.70 "LZ4 Compression - Compression Level: 1 - Compression Speed (MB/s)",HIB,9360.33,9307.53,9368.21,9333.49 "LZ4 Compression - Compression Level: 1 - Decompression Speed (MB/s)",HIB,10310.6,10300.3,10277.4,10229.8 "LZ4 Compression - Compression Level: 3 - Compression Speed (MB/s)",HIB,51.50,50.73,51.59,52.10 "LZ4 Compression - Compression Level: 3 - Decompression Speed (MB/s)",HIB,9919.0,9895.1,9901.3,9944.8 "LZ4 Compression - Compression Level: 9 - Compression Speed (MB/s)",HIB,50.69,49.77,50.47,50.16 "LZ4 Compression - Compression Level: 9 - Decompression Speed (MB/s)",HIB,9942.5,9964.5,9943.8,9903.2 "Crafty - Elapsed Time (Nodes/s)",HIB,8546471,8920559,8893425,8823060 "oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,6.41982,5.63807,5.71737,5.47702 "oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,9.36757,9.21133,9.43065,9.22956 "oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.59978,2.62207,2.61510,2.60889 "oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.92313,2.24347,2.35658,2.32680 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,21.8821,22.5039,22.1752,22.7344 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,5.46401,5.09666,5.14679,5.06969 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,6.98587,6.73147,6.76584,6.69818 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,20.3999,20.5986,20.9056,20.6116 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,6.51376,6.43594,6.37617,6.33997 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,5.32109,5.30594,5.26936,5.28923 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,3822.92,3843.11,3876.27,3804.05 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,2647.28,2716.83,2700.05,2668.89 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,3848.17,3841.65,3906.57,3828.50 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2870.93,2680.98,2686.22,2877.16 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,4.18422,4.46430,4.42827,4.92533 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,3905.20,3828.39,3885.91,3872.86 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,2691.72,2671.70,2656.26,2707.27 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.95246,2.90638,2.86008,2.84703 "rav1e - Speed: 1 (FPS)",HIB,0.402,0.402,0.398,0.400 "rav1e - Speed: 5 (FPS)",HIB,1.186,1.183,1.185,1.178 "rav1e - Speed: 6 (FPS)",HIB,1.587,1.586,1.582,1.582 "rav1e - Speed: 10 (FPS)",HIB,3.457,3.450,3.447,3.455 "Coremark - CoreMark Size 666 - Iterations Per Second (Iterations/Sec)",HIB,353574.858058,353496.410708,352288.838866,355783.638913 "Stockfish - Total Time (Nodes/s)",HIB,20160779,19613677,19737025,19931000 "asmFish - 1024 Hash Memory, 26 Depth (Nodes/s)",HIB,27502562,27582263,27974508,27935855 "Timed Clash Compilation - Time To Compile (sec)",LIB,248.032,249.576,247.213,245.507 "Timed FFmpeg Compilation - Time To Compile (sec)",LIB,56.277,56.166,56.009,56.453 "Build2 - Time To Compile (sec)",LIB,119.006,118.888,117.139,119.841 "Timed Eigen Compilation - Time To Compile (sec)",LIB,74.181,74.094,74.084,73.346 "Monkey Audio Encoding - WAV To APE (sec)",LIB,11.565,11.601,11.502,11.518 "Ogg Audio Encoding - WAV To Ogg (sec)",LIB,18.840,18.899,18.846,18.773 "Opus Codec Encoding - WAV To Opus Encode (sec)",LIB,7.194,7.213,7.204,7.212 "Node.js V8 Web Tooling Benchmark - (runs/s)",HIB,12.06,12.13,12.17,12.09 "ASTC Encoder - Preset: Fast (sec)",LIB,5.97,6.02,6.11,5.99 "ASTC Encoder - Preset: Medium (sec)",LIB,8.68,8.69,8.69,8.69 "ASTC Encoder - Preset: Thorough (sec)",LIB,26.68,26.70,26.64,26.64 "ASTC Encoder - Preset: Exhaustive (sec)",LIB,215.92,216.19,215.24,214.69 "SQLite Speedtest - Timed Time - Size 1,000 (sec)",LIB,59.241,59.934,59.490,59.413 "NCNN - Target: CPU - Model: mobilenet (ms)",LIB,19.21,19.36,19.27,19.28 "NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,6.18,6.12,6.20,6.19 "NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,5.23,5.18,5.25,5.25 "NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,6.72,6.70,6.71,6.69 "NCNN - Target: CPU - Model: mnasnet (ms)",LIB,5.14,5.11,5.13,5.16 "NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,8.14,8.16,8.17,8.13 "NCNN - Target: CPU - Model: blazeface (ms)",LIB,2.38,2.38,2.31,2.33 "NCNN - Target: CPU - Model: googlenet (ms)",LIB,17.02,17.14,16.86,16.96 "NCNN - Target: CPU - Model: vgg16 (ms)",LIB,67.04,67.23,67.05,66.95 "NCNN - Target: CPU - Model: resnet18 (ms)",LIB,17.87,17.96,17.80,17.86 "NCNN - Target: CPU - Model: alexnet (ms)",LIB,14.20,14.19,14.22,14.21 "NCNN - Target: CPU - Model: resnet50 (ms)",LIB,32.59,32.61,32.76,32.58 "NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,28.75,29.07,29.08,29.05 "NCNN - Target: CPU - Model: squeezenet_ssd (ms)",LIB,23.51,23.63,23.41,23.34 "NCNN - Target: CPU - Model: regnety_400m (ms)",LIB,18.67,18.66,18.69,18.67 "OpenVINO - Model: Face Detection 0106 FP16 - Device: CPU (FPS)",HIB,1.90,1.91,1.89,1.91 "OpenVINO - Model: Face Detection 0106 FP16 - Device: CPU (ms)",LIB,2105.37,2092.82,2107.64,2092.01 "OpenVINO - Model: Face Detection 0106 FP32 - Device: CPU (FPS)",HIB,1.88,1.88,1.88,1.88 "OpenVINO - Model: Face Detection 0106 FP32 - Device: CPU (ms)",LIB,2125.78,2128.47,2120.16,2129.83 "OpenVINO - Model: Person Detection 0106 FP16 - Device: CPU (FPS)",HIB,1.50,1.53,1.53,1.53 "OpenVINO - Model: Person Detection 0106 FP16 - Device: CPU (ms)",LIB,2640.59,2586.64,2584.40,2579.88 "OpenVINO - Model: Person Detection 0106 FP32 - Device: CPU (FPS)",HIB,1.52,1.51,1.52,1.50 "OpenVINO - Model: Person Detection 0106 FP32 - Device: CPU (ms)",LIB,2589.43,2600.09,2598.96,2601.17 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,6575.88,6385.20,6637.86,6685.19 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,0.60,0.62,0.59,0.59 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU (FPS)",HIB,6689.73,6618.49,6784.44,6715.20 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU (ms)",LIB,0.59,0.60,0.58,0.59 "PHPBench - PHP Benchmark Suite (Score)",HIB,674200,669279,670904,668752 "WavPack Audio Encoding - WAV To WavPack (sec)",LIB,12.624,12.596,12.508,12.464 "BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,120993,119540,121138,122061 "Unpacking Firefox - Extracting: firefox-84.0.source.tar.xz (sec)",LIB,18.129,18.224,18.395,18.779