Ryzen 3 2200G 2021 AMD Ryzen 3 2200G testing with a ASUS PRIME B350M-E (5220 BIOS) and ASUS AMD Radeon Vega / Mobile 2GB on Ubuntu 20.10 via the Phoronix Test Suite. 1: Processor: AMD Ryzen 3 2200G @ 3.50GHz (4 Cores), Motherboard: ASUS PRIME B350M-E (5220 BIOS), Chipset: AMD Raven/Raven2, Memory: 6GB, Disk: Samsung SSD 970 EVO 250GB, Graphics: ASUS AMD Radeon Vega / Mobile 2GB (1100/1600MHz), Audio: AMD Raven/Raven2/Fenghuang, Monitor: G237HL, Network: Realtek RTL8111/8168/8411 OS: Ubuntu 20.10, Kernel: 5.8.0-38-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: modesetting 1.20.9, OpenGL: 4.6 Mesa 20.2.6 (LLVM 11.0.0), Vulkan: 1.2.131, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080 2: Processor: AMD Ryzen 3 2200G @ 3.50GHz (4 Cores), Motherboard: ASUS PRIME B350M-E (5220 BIOS), Chipset: AMD Raven/Raven2, Memory: 6GB, Disk: Samsung SSD 970 EVO 250GB, Graphics: ASUS AMD Radeon Vega / Mobile 2GB (1100/1600MHz), Audio: AMD Raven/Raven2/Fenghuang, Monitor: G237HL, Network: Realtek RTL8111/8168/8411 OS: Ubuntu 20.10, Kernel: 5.8.0-38-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: modesetting 1.20.9, OpenGL: 4.6 Mesa 20.2.6 (LLVM 11.0.0), Vulkan: 1.2.131, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080 3: Processor: AMD Ryzen 3 2200G @ 3.50GHz (4 Cores), Motherboard: ASUS PRIME B350M-E (5220 BIOS), Chipset: AMD Raven/Raven2, Memory: 6GB, Disk: Samsung SSD 970 EVO 250GB, Graphics: ASUS AMD Radeon Vega / Mobile 2GB (1100/1600MHz), Audio: AMD Raven/Raven2/Fenghuang, Monitor: G237HL, Network: Realtek RTL8111/8168/8411 OS: Ubuntu 20.10, Kernel: 5.8.0-38-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: modesetting 1.20.9, OpenGL: 4.6 Mesa 20.2.6 (LLVM 11.0.0), Vulkan: 1.2.131, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080 RealSR-NCNN 20200818 Scale: 4x - TAA: No Seconds < Lower Is Better 1 . 63.03 |==================================================================== 2 . 63.02 |==================================================================== 3 . 63.00 |==================================================================== RealSR-NCNN 20200818 Scale: 4x - TAA: Yes Seconds < Lower Is Better 1 . 482.61 |=================================================================== 2 . 482.84 |=================================================================== 3 . 482.55 |=================================================================== Waifu2x-NCNN Vulkan 20200818 Scale: 2x - Denoise: 3 - TAA: No Seconds < Lower Is Better 1 . 4.115 |==================================================================== 2 . 4.110 |==================================================================== 3 . 4.097 |==================================================================== Waifu2x-NCNN Vulkan 20200818 Scale: 2x - Denoise: 3 - TAA: Yes Seconds < Lower Is Better 1 . 26.68 |==================================================================== 2 . 26.69 |==================================================================== 3 . 26.67 |==================================================================== Warsow 2.5 Beta Resolution: 1920 x 1080 Frames Per Second > Higher Is Better 1 . 158.1 |=================================================================== 2 . 159.4 |==================================================================== 3 . 159.4 |==================================================================== yquake2 7.45 Renderer: OpenGL 3.x - Resolution: 1920 x 1080 Frames Per Second > Higher Is Better 1 . 814.1 |==================================================================== 2 . 807.2 |=================================================================== 3 . 807.9 |=================================================================== yquake2 7.45 Renderer: Software CPU - Resolution: 1920 x 1080 Frames Per Second > Higher Is Better 1 . 92.9 |===================================================================== 2 . 93.3 |===================================================================== 3 . 93.3 |===================================================================== GLmark2 2020.04 Resolution: 1920 x 1080 Score > Higher Is Better 1 . 1849 |===================================================================== 2 . 1851 |===================================================================== 3 . 1852 |===================================================================== VKMark 2020-05-21 Resolution: 1920 x 1080 VKMark Score > Higher Is Better 1 . 1199 |===================================================================== 2 . 1199 |===================================================================== 3 . 1196 |===================================================================== Sockperf 3.4 Test: Throughput Messages Per Second > Higher Is Better 1 . 555055 |================================================================== 2 . 559663 |=================================================================== 3 . 557665 |=================================================================== Sockperf 3.4 Test: Latency Ping Pong usec < Lower Is Better 1 . 6.927 |==================================================================== 2 . 6.751 |================================================================== 3 . 6.790 |=================================================================== Sockperf 3.4 Test: Latency Under Load usec < Lower Is Better 1 . 53.78 |==================================================================== 2 . 52.76 |=================================================================== 3 . 50.70 |================================================================ OSBench Test: Create Files us Per Event < Lower Is Better 1 . 18.25 |=================================================================== 2 . 18.32 |==================================================================== 3 . 18.44 |==================================================================== OSBench Test: Create Threads us Per Event < Lower Is Better 1 . 14.92 |==================================================================== 2 . 14.82 |==================================================================== 3 . 14.91 |==================================================================== OSBench Test: Launch Programs us Per Event < Lower Is Better 1 . 81.52 |==================================================================== 2 . 81.97 |==================================================================== 3 . 82.07 |==================================================================== OSBench Test: Create Processes us Per Event < Lower Is Better 1 . 26.19 |================================================================== 2 . 26.48 |=================================================================== 3 . 26.86 |==================================================================== OSBench Test: Memory Allocations Ns Per Event < Lower Is Better 1 . 81.74 |================================================================= 2 . 82.00 |================================================================= 3 . 85.63 |==================================================================== LeelaChessZero 0.26 Backend: BLAS Nodes Per Second > Higher Is Better 1 . 432 |====================================================================== 2 . 374 |============================================================= 3 . 353 |========================================================= LeelaChessZero 0.26 Backend: Eigen Nodes Per Second > Higher Is Better 1 . 448 |====================================================================== 2 . 380 |=========================================================== 3 . 377 |=========================================================== CloverLeaf Lagrangian-Eulerian Hydrodynamics Seconds < Lower Is Better 1 . 191.41 |=================================================================== 2 . 191.45 |=================================================================== 3 . 191.01 |=================================================================== CP2K Molecular Dynamics 8.1 Fayalite-FIST Data Seconds < Lower Is Better 1 . 1448.59 |================================================================= 2 . 1461.85 |================================================================== 3 . 1452.47 |================================================================== CLOMP 1.2 Static OMP Speedup Speedup > Higher Is Better 1 . 2.0 |====================================================================== 2 . 2.0 |====================================================================== 3 . 2.0 |====================================================================== NAMD 2.14 ATPase Simulation - 327,506 Atoms days/ns < Lower Is Better 1 . 6.75407 |================================================================= 2 . 6.79902 |================================================================== 3 . 6.83284 |================================================================== Dolfyn 0.527 Computational Fluid Dynamics Seconds < Lower Is Better 1 . 21.07 |==================================================================== 2 . 21.14 |==================================================================== 3 . 20.99 |==================================================================== Algebraic Multi-Grid Benchmark 1.2 Figure Of Merit > Higher Is Better 1 . 213491533 |================================================================ 2 . 214232233 |================================================================ 3 . 214072633 |================================================================ FFTE 7.0 N=256, 3D Complex FFT Routine MFLOPS > Higher Is Better 1 . 15392.81 |================================================================ 2 . 15755.59 |================================================================= 3 . 15437.47 |================================================================ Timed HMMer Search 3.3.1 Pfam Database Search Seconds < Lower Is Better 1 . 127.15 |=================================================================== 2 . 127.65 |=================================================================== 3 . 127.39 |=================================================================== Incompact3D 2020-09-17 Input: Cylinder Seconds < Lower Is Better 1 . 810.95 |================================================================== 2 . 821.06 |=================================================================== 3 . 820.32 |=================================================================== Timed MAFFT Alignment 7.471 Multiple Sequence Alignment - LSU RNA Seconds < Lower Is Better 1 . 15.04 |==================================================================== 2 . 15.00 |==================================================================== 3 . 15.04 |==================================================================== Monte Carlo Simulations of Ionised Nebulae 2019-03-24 Input: Dust 2D tau100.0 Seconds < Lower Is Better 1 . 342 |====================================================================== 2 . 340 |====================================================================== 3 . 341 |====================================================================== OpenFOAM 8 Input: Motorbike 30M Seconds < Lower Is Better 1 . 342.98 |=================================================================== 2 . 339.54 |================================================================== 3 . 338.27 |================================================================== LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: Rhodopsin Protein ns/day > Higher Is Better 1 . 2.603 |==================================================================== 2 . 2.586 |=================================================================== 3 . 2.613 |==================================================================== LULESH 2.0.3 z/s > Higher Is Better 1 . 1180.10 |================================================================ 2 . 1208.39 |================================================================== 3 . 1208.02 |================================================================== WebP Image Encode 1.1 Encode Settings: Default Encode Time - Seconds < Lower Is Better 1 . 1.648 |=================================================================== 2 . 1.662 |==================================================================== 3 . 1.657 |==================================================================== WebP Image Encode 1.1 Encode Settings: Quality 100 Encode Time - Seconds < Lower Is Better 1 . 2.595 |==================================================================== 2 . 2.601 |==================================================================== 3 . 2.590 |==================================================================== WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless Encode Time - Seconds < Lower Is Better 1 . 24.89 |==================================================================== 2 . 24.96 |==================================================================== 3 . 24.90 |==================================================================== WebP Image Encode 1.1 Encode Settings: Quality 100, Highest Compression Encode Time - Seconds < Lower Is Better 1 . 8.872 |==================================================================== 2 . 8.871 |==================================================================== 3 . 8.869 |==================================================================== WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless, Highest Compression Encode Time - Seconds < Lower Is Better 1 . 57.67 |==================================================================== 2 . 57.22 |=================================================================== 3 . 57.45 |==================================================================== simdjson 0.7.1 Throughput Test: Kostya GB/s > Higher Is Better 1 . 0.38 |===================================================================== 2 . 0.38 |===================================================================== 3 . 0.38 |===================================================================== simdjson 0.7.1 Throughput Test: LargeRandom GB/s > Higher Is Better 1 . 0.35 |===================================================================== 2 . 0.35 |===================================================================== 3 . 0.35 |===================================================================== simdjson 0.7.1 Throughput Test: PartialTweets GB/s > Higher Is Better 1 . 0.45 |===================================================================== 2 . 0.45 |===================================================================== 3 . 0.45 |===================================================================== simdjson 0.7.1 Throughput Test: DistinctUserID GB/s > Higher Is Better 1 . 0.46 |===================================================================== 2 . 0.46 |===================================================================== 3 . 0.46 |===================================================================== BYTE Unix Benchmark 3.6 Computational Test: Dhrystone 2 LPS > Higher Is Better 1 . 35499453.0 |============================================================== 2 . 35791748.5 |=============================================================== 3 . 35427649.2 |============================================================== LZ4 Compression 1.9.3 Compression Level: 1 - Compression Speed MB/s > Higher Is Better 1 . 7994.30 |================================================================== 2 . 8015.39 |================================================================== 3 . 8022.48 |================================================================== LZ4 Compression 1.9.3 Compression Level: 1 - Decompression Speed MB/s > Higher Is Better 1 . 8722.4 |=================================================================== 2 . 8646.3 |================================================================== 3 . 8690.1 |=================================================================== LZ4 Compression 1.9.3 Compression Level: 3 - Compression Speed MB/s > Higher Is Better 1 . 42.77 |==================================================================== 2 . 42.34 |=================================================================== 3 . 41.81 |================================================================== LZ4 Compression 1.9.3 Compression Level: 3 - Decompression Speed MB/s > Higher Is Better 1 . 8554.3 |=================================================================== 2 . 8547.8 |=================================================================== 3 . 8547.2 |=================================================================== LZ4 Compression 1.9.3 Compression Level: 9 - Compression Speed MB/s > Higher Is Better 1 . 42.22 |==================================================================== 2 . 41.02 |================================================================== 3 . 41.23 |================================================================== LZ4 Compression 1.9.3 Compression Level: 9 - Decompression Speed MB/s > Higher Is Better 1 . 8565.2 |=================================================================== 2 . 8552.1 |=================================================================== 3 . 8562.8 |=================================================================== Zstd Compression 1.4.5 Compression Level: 3 MB/s > Higher Is Better 1 . 2346.0 |=================================================================== 2 . 2358.0 |=================================================================== 3 . 2324.2 |================================================================== Zstd Compression 1.4.5 Compression Level: 19 MB/s > Higher Is Better 1 . 14.0 |==================================================================== 2 . 14.2 |===================================================================== 3 . 14.2 |===================================================================== LibRaw 0.20 Post-Processing Benchmark Mpix/sec > Higher Is Better 1 . 19.36 |=================================================================== 2 . 19.66 |==================================================================== 3 . 19.79 |==================================================================== Crafty 25.2 Elapsed Time Nodes Per Second > Higher Is Better 1 . 6274275 |================================================================== 2 . 6255015 |================================================================= 3 . 6322069 |================================================================== oneDNN 2.0 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 16.54 |==================================================================== 2 . 16.56 |==================================================================== 3 . 16.61 |==================================================================== oneDNN 2.0 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 13.07 |================================================================== 2 . 13.17 |=================================================================== 3 . 13.37 |==================================================================== oneDNN 2.0 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 14.63 |================================================================= 2 . 14.87 |=================================================================== 3 . 15.20 |==================================================================== oneDNN 2.0 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 5.81417 |================================================================== 2 . 5.84129 |================================================================== 3 . 5.79119 |================================================================= oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 23.02 |================================================================== 2 . 23.68 |==================================================================== 3 . 23.67 |==================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 22.54 |==================================================================== 2 . 22.31 |=================================================================== 3 . 22.66 |==================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 30.81 |=================================================================== 2 . 31.41 |==================================================================== 3 . 30.82 |=================================================================== oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 38.84 |==================================================================== 2 . 38.97 |==================================================================== 3 . 38.51 |=================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 36.56 |==================================================================== 2 . 35.85 |=================================================================== 3 . 33.06 |============================================================= oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 29.71 |==================================================================== 2 . 29.89 |==================================================================== 3 . 29.12 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 8437.12 |================================================================== 2 . 8277.53 |================================================================= 3 . 8342.73 |================================================================= oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 7721.13 |================================================================= 2 . 7794.13 |================================================================== 3 . 7837.72 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 8193.61 |================================================================ 2 . 8356.19 |================================================================== 3 . 8419.82 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 7746.87 |================================================================== 2 . 7725.63 |================================================================== 3 . 7701.75 |================================================================== oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 7.35744 |================================================================== 2 . 7.36061 |================================================================== 3 . 7.31351 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 8195.20 |================================================================ 2 . 8438.64 |================================================================== 3 . 8426.84 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 7913.61 |================================================================== 2 . 7667.94 |================================================================ 3 . 7750.49 |================================================================= oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 14.82 |================================================================= 2 . 15.08 |================================================================== 3 . 15.56 |==================================================================== dav1d 0.8.1 Video Input: Chimera 1080p FPS > Higher Is Better 1 . 184.25 |=================================================================== 2 . 184.17 |=================================================================== 3 . 183.88 |=================================================================== dav1d 0.8.1 Video Input: Summer Nature 4K FPS > Higher Is Better 1 . 51.92 |==================================================================== 2 . 52.00 |==================================================================== 3 . 52.09 |==================================================================== dav1d 0.8.1 Video Input: Summer Nature 1080p FPS > Higher Is Better 1 . 182.89 |================================================================== 2 . 183.50 |=================================================================== 3 . 184.81 |=================================================================== dav1d 0.8.1 Video Input: Chimera 1080p 10-bit FPS > Higher Is Better 1 . 52.55 |=================================================================== 2 . 52.39 |=================================================================== 3 . 53.51 |==================================================================== AOM AV1 2.0 Encoder Mode: Speed 4 Two-Pass Frames Per Second > Higher Is Better 1 . 1.38 |==================================================================== 2 . 1.38 |==================================================================== 3 . 1.40 |===================================================================== AOM AV1 2.0 Encoder Mode: Speed 6 Realtime Frames Per Second > Higher Is Better 1 . 10.13 |=================================================================== 2 . 10.12 |=================================================================== 3 . 10.25 |==================================================================== AOM AV1 2.0 Encoder Mode: Speed 6 Two-Pass Frames Per Second > Higher Is Better 1 . 2.22 |==================================================================== 2 . 2.22 |==================================================================== 3 . 2.24 |===================================================================== AOM AV1 2.0 Encoder Mode: Speed 8 Realtime Frames Per Second > Higher Is Better 1 . 27.20 |==================================================================== 2 . 27.18 |==================================================================== 3 . 27.29 |==================================================================== Embree 3.9.0 Binary: Pathtracer - Model: Crown Frames Per Second > Higher Is Better 1 . 2.7601 |=================================================================== 2 . 2.7659 |=================================================================== 3 . 2.7779 |=================================================================== Embree 3.9.0 Binary: Pathtracer ISPC - Model: Crown Frames Per Second > Higher Is Better 1 . 2.5819 |=================================================================== 2 . 2.5670 |=================================================================== 3 . 2.5828 |=================================================================== Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon Frames Per Second > Higher Is Better 1 . 3.3140 |================================================================== 2 . 3.3113 |================================================================== 3 . 3.3432 |=================================================================== Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon Obj Frames Per Second > Higher Is Better 1 . 2.9903 |=================================================================== 2 . 2.9682 |=================================================================== 3 . 2.9782 |=================================================================== Embree 3.9.0 Binary: Pathtracer ISPC - Model: Asian Dragon Frames Per Second > Higher Is Better 1 . 3.2431 |=================================================================== 2 . 3.2504 |=================================================================== 3 . 3.2482 |=================================================================== Embree 3.9.0 Binary: Pathtracer ISPC - Model: Asian Dragon Obj Frames Per Second > Higher Is Better 1 . 2.8199 |=================================================================== 2 . 2.8371 |=================================================================== 3 . 2.8151 |================================================================== Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Medium Frames Per Second > Higher Is Better 1 . 1.49 |===================================================================== 2 . 1.49 |===================================================================== 3 . 1.50 |===================================================================== Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Medium Frames Per Second > Higher Is Better 1 . 6.51 |===================================================================== 2 . 6.51 |===================================================================== 3 . 6.50 |===================================================================== Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Very Fast Frames Per Second > Higher Is Better 1 . 3.94 |===================================================================== 2 . 3.94 |===================================================================== 3 . 3.95 |===================================================================== Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Ultra Fast Frames Per Second > Higher Is Better 1 . 6.84 |===================================================================== 2 . 6.85 |===================================================================== 3 . 6.83 |===================================================================== Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Very Fast Frames Per Second > Higher Is Better 1 . 15.60 |==================================================================== 2 . 15.52 |==================================================================== 3 . 15.62 |==================================================================== Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast Frames Per Second > Higher Is Better 1 . 27.01 |==================================================================== 2 . 27.07 |==================================================================== 3 . 27.05 |==================================================================== rav1e 0.4 Speed: 5 Frames Per Second > Higher Is Better 1 . 0.848 |==================================================================== 2 . 0.844 |==================================================================== 3 . 0.839 |=================================================================== rav1e 0.4 Speed: 6 Frames Per Second > Higher Is Better 1 . 1.082 |==================================================================== 2 . 1.083 |==================================================================== 3 . 1.089 |==================================================================== rav1e 0.4 Speed: 10 Frames Per Second > Higher Is Better 1 . 2.573 |================================================================== 2 . 2.566 |================================================================== 3 . 2.639 |==================================================================== x265 3.4 Video Input: Bosphorus 4K Frames Per Second > Higher Is Better 1 . 4.81 |===================================================================== 2 . 4.83 |===================================================================== 3 . 4.83 |===================================================================== x265 3.4 Video Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 19.49 |=================================================================== 2 . 19.60 |==================================================================== 3 . 19.71 |==================================================================== Coremark 1.0 CoreMark Size 666 - Iterations Per Second Iterations/Sec > Higher Is Better 1 . 102524.44 |================================================================ 2 . 101765.57 |================================================================ 3 . 102339.41 |================================================================ Stockfish 12 Total Time Nodes Per Second > Higher Is Better 1 . 5718169 |================================================================== 2 . 5628220 |================================================================= 3 . 5648589 |================================================================= asmFish 2018-07-23 1024 Hash Memory, 26 Depth Nodes/second > Higher Is Better 1 . 7748047 |================================================================== 2 . 7802828 |================================================================== 3 . 7669043 |================================================================= Timed FFmpeg Compilation 4.2.2 Time To Compile Seconds < Lower Is Better 1 . 182.19 |=================================================================== 2 . 183.02 |=================================================================== 3 . 182.60 |=================================================================== Timed Godot Game Engine Compilation 3.2.3 Time To Compile Seconds < Lower Is Better 1 . 501.20 |=================================================================== 2 . 503.98 |=================================================================== 3 . 502.61 |=================================================================== Build2 0.13 Time To Compile Seconds < Lower Is Better 1 . 514.48 |=================================================================== 2 . 516.52 |=================================================================== 3 . 514.80 |=================================================================== Numpy Benchmark Score > Higher Is Better 1 . 242.34 |=================================================================== 2 . 241.36 |================================================================== 3 . 243.26 |=================================================================== Timed Eigen Compilation 3.3.9 Time To Compile Seconds < Lower Is Better 1 . 113.52 |=================================================================== 2 . 113.65 |=================================================================== 3 . 112.96 |=================================================================== Monkey Audio Encoding 3.99.6 WAV To APE Seconds < Lower Is Better 1 . 15.96 |==================================================================== 2 . 15.99 |==================================================================== 3 . 16.00 |==================================================================== Opus Codec Encoding 1.3.1 WAV To Opus Encode Seconds < Lower Is Better 1 . 8.936 |==================================================================== 2 . 8.923 |==================================================================== 3 . 8.915 |==================================================================== eSpeak-NG Speech Engine 20200907 Text-To-Speech Synthesis Seconds < Lower Is Better 1 . 35.13 |==================================================================== 2 . 35.32 |==================================================================== 3 . 35.31 |==================================================================== RNNoise 2020-06-28 Seconds < Lower Is Better 1 . 22.24 |=================================================================== 2 . 22.69 |==================================================================== 3 . 22.58 |==================================================================== Google SynthMark 20201109 Test: VoiceMark_100 Voices > Higher Is Better 1 . 596.25 |=================================================================== 2 . 596.62 |=================================================================== 3 . 593.91 |=================================================================== Node.js V8 Web Tooling Benchmark runs/s > Higher Is Better 1 . 7.38 |================================================================== 2 . 7.74 |===================================================================== 3 . 7.38 |================================================================== KeyDB 6.0.16 Ops/sec > Higher Is Better 1 . 265074.45 |=============================================================== 2 . 267212.95 |================================================================ 3 . 269044.48 |================================================================ GROMACS 2020.3 Water Benchmark Ns Per Day > Higher Is Better 1 . 0.333 |==================================================================== 2 . 0.330 |=================================================================== 3 . 0.326 |=================================================================== TensorFlow Lite 2020-08-23 Model: SqueezeNet Microseconds < Lower Is Better 1 . 467745 |=================================================================== 2 . 461955 |================================================================== 3 . 467404 |=================================================================== TensorFlow Lite 2020-08-23 Model: Inception V4 Microseconds < Lower Is Better 1 . 6441017 |================================================================== 2 . 6389943 |================================================================= 3 . 6468567 |================================================================== TensorFlow Lite 2020-08-23 Model: NASNet Mobile Microseconds < Lower Is Better 1 . 316112 |=================================================================== 2 . 317213 |=================================================================== 3 . 315790 |=================================================================== TensorFlow Lite 2020-08-23 Model: Mobilenet Float Microseconds < Lower Is Better 1 . 309946 |================================================================== 2 . 306270 |================================================================== 3 . 313216 |=================================================================== TensorFlow Lite 2020-08-23 Model: Mobilenet Quant Microseconds < Lower Is Better 1 . 328733 |=================================================================== 2 . 318685 |================================================================= 3 . 327187 |=================================================================== TensorFlow Lite 2020-08-23 Model: Inception ResNet V2 Microseconds < Lower Is Better 1 . 5691310 |================================================================== 2 . 5697083 |================================================================== 3 . 5689070 |================================================================== ASTC Encoder 2.0 Preset: Fast Seconds < Lower Is Better 1 . 9.75 |===================================================================== 2 . 9.74 |===================================================================== 3 . 9.80 |===================================================================== ASTC Encoder 2.0 Preset: Medium Seconds < Lower Is Better 1 . 12.77 |==================================================================== 2 . 12.83 |==================================================================== 3 . 12.75 |==================================================================== ASTC Encoder 2.0 Preset: Thorough Seconds < Lower Is Better 1 . 84.33 |==================================================================== 2 . 84.61 |==================================================================== 3 . 84.49 |==================================================================== ASTC Encoder 2.0 Preset: Exhaustive Seconds < Lower Is Better 1 . 696.05 |=================================================================== 2 . 697.50 |=================================================================== 3 . 695.24 |=================================================================== Basis Universal 1.12 Settings: ETC1S Seconds < Lower Is Better 1 . 82.06 |==================================================================== 2 . 82.18 |==================================================================== 3 . 82.08 |==================================================================== Basis Universal 1.12 Settings: UASTC Level 0 Seconds < Lower Is Better 1 . 11.90 |=================================================================== 2 . 12.05 |==================================================================== 3 . 11.86 |=================================================================== Basis Universal 1.12 Settings: UASTC Level 2 Seconds < Lower Is Better 1 . 86.48 |==================================================================== 2 . 86.54 |==================================================================== 3 . 86.34 |==================================================================== SQLite Speedtest 3.30 Timed Time - Size 1,000 Seconds < Lower Is Better 1 . 81.22 |=================================================================== 2 . 81.42 |==================================================================== 3 . 81.93 |==================================================================== Darktable 3.2.1 Test: Boat - Acceleration: CPU-only Seconds < Lower Is Better 1 . 25.21 |================================================================== 2 . 25.90 |==================================================================== 3 . 25.45 |=================================================================== Darktable 3.2.1 Test: Masskrug - Acceleration: CPU-only Seconds < Lower Is Better 1 . 24.17 |=================================================================== 2 . 24.52 |==================================================================== 3 . 24.19 |=================================================================== Darktable 3.2.1 Test: Server Rack - Acceleration: CPU-only Seconds < Lower Is Better 1 . 0.339 |=================================================================== 2 . 0.342 |==================================================================== 3 . 0.344 |==================================================================== Darktable 3.2.1 Test: Server Room - Acceleration: CPU-only Seconds < Lower Is Better 1 . 20.70 |=================================================================== 2 . 21.01 |==================================================================== 3 . 20.74 |=================================================================== GIMP 2.10.18 Test: resize Seconds < Lower Is Better 1 . 12.86 |==================================================================== 2 . 12.87 |==================================================================== 3 . 12.83 |==================================================================== GIMP 2.10.18 Test: rotate Seconds < Lower Is Better 1 . 14.49 |==================================================================== 2 . 14.47 |==================================================================== 3 . 14.42 |==================================================================== GIMP 2.10.18 Test: auto-levels Seconds < Lower Is Better 1 . 15.92 |==================================================================== 2 . 15.85 |==================================================================== 3 . 15.89 |==================================================================== GIMP 2.10.18 Test: unsharp-mask Seconds < Lower Is Better 1 . 17.33 |==================================================================== 2 . 17.32 |==================================================================== 3 . 17.33 |==================================================================== Hugin Panorama Photo Assistant + Stitching Time Seconds < Lower Is Better 1 . 82.01 |=================================================================== 2 . 83.58 |==================================================================== 3 . 82.19 |=================================================================== OCRMyPDF 10.3.1+dfsg Processing 60 Page PDF Document Seconds < Lower Is Better 1 . 52.68 |==================================================================== 2 . 52.74 |==================================================================== 3 . 52.99 |==================================================================== RawTherapee Total Benchmark Time Seconds < Lower Is Better 1 . 123.68 |=================================================================== 2 . 123.41 |=================================================================== 3 . 123.34 |=================================================================== Redis 6.0.9 Test: LPOP Requests Per Second > Higher Is Better 1 . 2261210.92 |=============================================================== 2 . 1258380.50 |=================================== 3 . 1275489.17 |==================================== Redis 6.0.9 Test: SADD Requests Per Second > Higher Is Better 1 . 1735687.33 |============================================================== 2 . 1758200.50 |=============================================================== 3 . 1734495.83 |============================================================== Redis 6.0.9 Test: LPUSH Requests Per Second > Higher Is Better 1 . 1216336.46 |=============================================================== 2 . 1213155.04 |============================================================== 3 . 1223284.42 |=============================================================== Redis 6.0.9 Test: GET Requests Per Second > Higher Is Better 1 . 2064794.83 |=============================================================== 2 . 1931045.20 |=========================================================== 3 . 1930168.38 |=========================================================== Redis 6.0.9 Test: SET Requests Per Second > Higher Is Better 1 . 1489969.25 |=============================================================== 2 . 1486411.63 |=============================================================== 3 . 1472539.67 |============================================================== Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 100 Milli-Seconds < Lower Is Better 1 . 41877 |==================================================================== 2 . 41672 |==================================================================== 3 . 41573 |==================================================================== Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 100 Milli-Seconds < Lower Is Better 1 . 110084 |=================================================================== 2 . 110320 |=================================================================== 3 . 110157 |=================================================================== Mobile Neural Network 1.1.1 Model: SqueezeNetV1.0 ms < Lower Is Better 1 . 9.732 |=================================================================== 2 . 9.613 |================================================================== 3 . 9.867 |==================================================================== Mobile Neural Network 1.1.1 Model: resnet-v2-50 ms < Lower Is Better 1 . 50.22 |==================================================================== 2 . 50.27 |==================================================================== 3 . 50.49 |==================================================================== Mobile Neural Network 1.1.1 Model: MobileNetV2_224 ms < Lower Is Better 1 . 5.424 |==================================================================== 2 . 5.419 |==================================================================== 3 . 5.398 |==================================================================== Mobile Neural Network 1.1.1 Model: mobilenet-v1-1.0 ms < Lower Is Better 1 . 7.395 |=================================================================== 2 . 7.526 |==================================================================== 3 . 7.313 |================================================================== Mobile Neural Network 1.1.1 Model: inception-v3 ms < Lower Is Better 1 . 63.42 |=================================================================== 2 . 64.00 |==================================================================== 3 . 63.27 |=================================================================== NCNN 20201218 Target: CPU - Model: mobilenet ms < Lower Is Better 1 . 46.83 |==================================================================== 2 . 46.49 |==================================================================== 3 . 46.32 |=================================================================== NCNN 20201218 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 11.20 |==================================================================== 2 . 10.91 |================================================================== 3 . 11.04 |=================================================================== NCNN 20201218 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 9.67 |===================================================================== 2 . 9.49 |==================================================================== 3 . 9.59 |==================================================================== NCNN 20201218 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 12.65 |=================================================================== 2 . 12.89 |==================================================================== 3 . 12.70 |=================================================================== NCNN 20201218 Target: CPU - Model: mnasnet ms < Lower Is Better 1 . 10.50 |==================================================================== 2 . 10.34 |=================================================================== 3 . 10.25 |================================================================== NCNN 20201218 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 17.07 |==================================================================== 2 . 16.76 |=================================================================== 3 . 16.89 |=================================================================== NCNN 20201218 Target: CPU - Model: blazeface ms < Lower Is Better 1 . 3.31 |===================================================================== 2 . 3.33 |===================================================================== 3 . 3.29 |==================================================================== NCNN 20201218 Target: CPU - Model: googlenet ms < Lower Is Better 1 . 32.59 |==================================================================== 2 . 32.79 |==================================================================== 3 . 32.43 |=================================================================== NCNN 20201218 Target: CPU - Model: vgg16 ms < Lower Is Better 1 . 117.19 |================================================================== 2 . 119.38 |=================================================================== 3 . 117.45 |================================================================== NCNN 20201218 Target: CPU - Model: resnet18 ms < Lower Is Better 1 . 29.04 |==================================================================== 2 . 29.04 |==================================================================== 3 . 29.18 |==================================================================== NCNN 20201218 Target: CPU - Model: alexnet ms < Lower Is Better 1 . 23.30 |=================================================================== 2 . 23.42 |==================================================================== 3 . 23.51 |==================================================================== NCNN 20201218 Target: CPU - Model: resnet50 ms < Lower Is Better 1 . 72.55 |=================================================================== 2 . 73.14 |==================================================================== 3 . 71.82 |=================================================================== NCNN 20201218 Target: CPU - Model: yolov4-tiny ms < Lower Is Better 1 . 59.28 |==================================================================== 2 . 59.42 |==================================================================== 3 . 59.28 |==================================================================== NCNN 20201218 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better 1 . 59.39 |==================================================================== 2 . 59.71 |==================================================================== 3 . 59.34 |==================================================================== NCNN 20201218 Target: CPU - Model: regnety_400m ms < Lower Is Better 1 . 19.11 |==================================================================== 2 . 18.87 |=================================================================== 3 . 18.75 |=================================================================== NCNN 20201218 Target: Vulkan GPU - Model: mobilenet ms < Lower Is Better 1 . 46.40 |=================================================================== 2 . 47.01 |==================================================================== 3 . 46.32 |=================================================================== NCNN 20201218 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 10.88 |================================================================= 2 . 11.30 |==================================================================== 3 . 10.68 |================================================================ NCNN 20201218 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 9.59 |==================================================================== 2 . 9.69 |===================================================================== 3 . 9.60 |==================================================================== NCNN 20201218 Target: Vulkan GPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 12.63 |================================================================== 2 . 12.98 |==================================================================== 3 . 12.75 |=================================================================== NCNN 20201218 Target: Vulkan GPU - Model: mnasnet ms < Lower Is Better 1 . 10.38 |==================================================================== 2 . 10.44 |==================================================================== 3 . 10.43 |==================================================================== NCNN 20201218 Target: Vulkan GPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 16.98 |==================================================================== 2 . 16.95 |==================================================================== 3 . 16.90 |==================================================================== NCNN 20201218 Target: Vulkan GPU - Model: blazeface ms < Lower Is Better 1 . 3.25 |=================================================================== 2 . 3.31 |===================================================================== 3 . 3.33 |===================================================================== NCNN 20201218 Target: Vulkan GPU - Model: googlenet ms < Lower Is Better 1 . 32.56 |==================================================================== 2 . 32.64 |==================================================================== 3 . 32.59 |==================================================================== NCNN 20201218 Target: Vulkan GPU - Model: vgg16 ms < Lower Is Better 1 . 117.46 |================================================================== 2 . 118.91 |=================================================================== 3 . 118.04 |=================================================================== NCNN 20201218 Target: Vulkan GPU - Model: resnet18 ms < Lower Is Better 1 . 29.17 |==================================================================== 2 . 29.08 |==================================================================== 3 . 29.28 |==================================================================== NCNN 20201218 Target: Vulkan GPU - Model: alexnet ms < Lower Is Better 1 . 23.46 |==================================================================== 2 . 23.24 |=================================================================== 3 . 23.48 |==================================================================== NCNN 20201218 Target: Vulkan GPU - Model: resnet50 ms < Lower Is Better 1 . 71.68 |================================================================== 2 . 74.10 |==================================================================== 3 . 71.69 |================================================================== NCNN 20201218 Target: Vulkan GPU - Model: yolov4-tiny ms < Lower Is Better 1 . 59.00 |==================================================================== 2 . 59.40 |==================================================================== 3 . 59.28 |==================================================================== NCNN 20201218 Target: Vulkan GPU - Model: squeezenet_ssd ms < Lower Is Better 1 . 59.28 |==================================================================== 2 . 59.16 |==================================================================== 3 . 59.50 |==================================================================== NCNN 20201218 Target: Vulkan GPU - Model: regnety_400m ms < Lower Is Better 1 . 18.88 |=================================================================== 2 . 19.06 |==================================================================== 3 . 19.07 |==================================================================== TNN 0.2.3 Target: CPU - Model: MobileNet v2 ms < Lower Is Better 1 . 279.34 |=================================================================== 2 . 279.63 |=================================================================== 3 . 279.28 |=================================================================== TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 ms < Lower Is Better 1 . 287.26 |=================================================================== 2 . 287.06 |=================================================================== 3 . 286.14 |=================================================================== IndigoBench 4.4 Acceleration: CPU - Scene: Bedroom M samples/s > Higher Is Better 1 . 0.494 |=================================================================== 2 . 0.494 |=================================================================== 3 . 0.498 |==================================================================== IndigoBench 4.4 Acceleration: CPU - Scene: Supercar M samples/s > Higher Is Better 1 . 1.107 |==================================================================== 2 . 1.098 |=================================================================== 3 . 1.106 |==================================================================== Hierarchical INTegration 1.0 Test: FLOAT QUIPs > Higher Is Better 1 . 301333349.99 |============================================================= 2 . 301687480.19 |============================================================= 3 . 301185316.59 |============================================================= PHPBench 0.8.1 PHP Benchmark Suite Score > Higher Is Better 1 . 508106 |=================================================================== 2 . 506055 |=================================================================== 3 . 504159 |================================================================== WavPack Audio Encoding 5.3 WAV To WavPack Seconds < Lower Is Better 1 . 15.08 |==================================================================== 2 . 15.08 |==================================================================== 3 . 15.17 |==================================================================== Sunflow Rendering System 0.07.2 Global Illumination + Image Synthesis Seconds < Lower Is Better 1 . 3.206 |================================================================== 2 . 3.148 |================================================================= 3 . 3.302 |==================================================================== Unpacking Firefox 84.0 Extracting: firefox-84.0.source.tar.xz Seconds < Lower Is Better 1 . 23.85 |==================================================================== 2 . 23.80 |==================================================================== 3 . 23.81 |==================================================================== Kripke 1.2.4 Throughput FoM > Higher Is Better 1 . 4811563 |================================================================== 2 . 3117717 |=========================================== InfluxDB 1.8.2 Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 val/sec > Higher Is Better 1 . 706035.5 |================================================================= 2 . 696009.5 |================================================================ 3 . 700554.6 |================================================================ InfluxDB 1.8.2 Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 val/sec > Higher Is Better 1 . 721428.3 |================================================================= 2 . 725224.2 |================================================================= 3 . 723222.1 |=================================================================