Ryzen 3 2200G 2021, "Redis 6.0.9 - Test: LPOP", Higher Results Are Better "1",2278268.75,2227314,2278050 "2",1277139.25,1261235.88,1236766.38 "3",1261558.62,1272712.5,1292196.38 "Kripke 1.2.4 - ", Higher Results Are Better "1",4847969,4775156 "2",3147468,3158661,3047023 "LeelaChessZero 0.26 - Backend: BLAS", Higher Results Are Better "1",436,436,400,435,438,435,435,438 "2",366,356,387,400,387,368,355,395,355 "3",355,348,356 "LeelaChessZero 0.26 - Backend: Eigen", Higher Results Are Better "1",439,451,455 "2", "3",388,354,403,372,356,381,385,381,375 "Redis 6.0.9 - Test: GET", Higher Results Are Better "1",2045513.38,2132742,2016129.12 "2",1897533.12,2012265.5,1934235.88,1872958.88,1938232.62 "3",1942928.25,1886792.5,1960784.38 "oneDNN 2.0 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",14.1654,15.4806,15.4223,13.4117,13.9951,15.7401,14.1206,15.7538,15.4771,13.6125,15.4546,14.0136,15.2941,15.5355,14.8452 "2",15.558,15.425,14.3612,15.5381,14.0931,15.6856,15.5792,15.5186,15.3107,15.5202,14.0208,13.613,15.4999,15.1048,15.4096 "3",15.3754,15.6416,15.6687 "Sunflow Rendering System 0.07.2 - Global Illumination + Image Synthesis", Lower Results Are Better "1",3.151,3.286,3.181 "2",3.099,3.136,3.209 "3",3.088,3.317,3.355,3.262,3.266,3.418,3.428,3.265,3.353,3.228,3.468,3.303,3.171,3.426,3.182 "Node.js V8 Web Tooling Benchmark - ", Higher Results Are Better "1",7.22,7.46,7.45 "2",7.69,7.73,7.8 "3",7.12,7.38,7.56,7.44 "OSBench - Test: Memory Allocations", Lower Results Are Better "1",81.768036,81.756115,81.703901 "2",81.937075,81.871033,82.190037 "3",87.091923,82.724094,87.080002 "oneDNN 2.0 - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",14.566,14.842,14.4886 "2",14.9931,14.6209,14.9961 "3",15.294,15.3354,14.9631 "NCNN 20201218 - Target: Vulkan GPU - Model: resnet50", Lower Results Are Better "1",71.59,71.39,72.06 "2",73.61,75.96,73.21,73.61 "3",72.28,71.39,71.41 "oneDNN 2.0 - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "1",7886.9,7752.25,8101.69 "2",7650.06,7713.03,7640.74 "3",7762.85,7765.32,7723.31 "TensorFlow Lite 2020-08-23 - Model: Mobilenet Quant", Lower Results Are Better "1",330621,329024,326554 "2",319896,319512,316646 "3",325104,330911,325547 "oneDNN 2.0 - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "1",8355.56,8382.75,7835.76,8268.75,8133.19 "2",9047.54,8428.84,8322.58,8310.74,8269.46,8832.1,8356.54,8425.96,8098.89,8405.07,8073.51,8442.15,8340.94,8682.84,8542.42 "3",8519.39,8388.43,8372.71 "Mobile Neural Network 1.1.1 - Model: mobilenet-v1-1.0", Lower Results Are Better "1",7.421,7.409,7.354 "2",7.618,7.4,7.561 "3",7.285,7.282,7.373 "oneDNN 2.0 - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",22.3538,23.2563,23.4538 "2",23.2695,23.8877,23.8802 "3",23.6599,23.9237,23.4256 "rav1e 0.4 - Speed: 10", Higher Results Are Better "1",2.543,2.584,2.591 "2",2.56,2.582,2.557 "3",2.632,2.654,2.632 "NCNN 20201218 - Target: Vulkan GPU - Model: shufflenet-v2", Lower Results Are Better "1",12.48,12.61,12.8 "2",13.43,12.66,12.97,12.84 "3",13.12,12.7,12.42 "oneDNN 2.0 - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",8124.49,8013.08,8443.25 "2",8601.87,8101.02,8365.68 "3",8413.48,8472.51,8373.46 "Darktable 3.2.1 - Test: Boat - Acceleration: CPU-only", Lower Results Are Better "1",25.071,25.171,25.376 "2",28.687,25.338,25.357,25.47,25.435,25.596,25.654,25.608,25.649,26.817,25.82,25.75,25.538 "3",25.272,25.533,25.549 "NCNN 20201218 - Target: CPU-v2-v2 - Model: mobilenet-v2", Lower Results Are Better "1",11.45,10.99,11.17 "2",10.77,10.92,11.05 "3",10.94,11.13,11.04 "Mobile Neural Network 1.1.1 - Model: SqueezeNetV1.0", Lower Results Are Better "1",9.621,9.589,9.986 "2",9.688,9.595,9.556 "3",9.755,9.984,9.862 "oneDNN 2.0 - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",29.562,29.8584,29.7089 "2",30.0651,29.6204,29.9811 "3",28.6622,29.6474,29.0534 "Sockperf 3.4 - Test: Latency Ping Pong", Lower Results Are Better "1",7.072,7.078,6.794,6.917,6.773 "2",6.897,6.694,6.64,6.688,6.836 "3",6.767,6.787,6.973,6.886,6.535 "OSBench - Test: Create Processes", Lower Results Are Better "1",26.359558,26.03054,26.180744 "2",26.44062,26.538372,26.459694 "3",26.450157,27.12965,26.991367 "NCNN 20201218 - Target: Vulkan GPU - Model: blazeface", Lower Results Are Better "1",3.28,3.23,3.25 "2",3.29,3.35,3.35,3.26 "3",3.39,3.29,3.31 "NCNN 20201218 - Target: CPU - Model: mnasnet", Lower Results Are Better "1",10.53,10.57,10.4 "2",10.54,10.24,10.24 "3",10.35,10.25,10.15 "LULESH 2.0.3 - ", Higher Results Are Better "1",1179.824,1179.3445,1181.1227 "2",1207.8549,1209.7463,1207.5587 "3",1203.9567,1209.9461,1210.1526 "FFTE 7.0 - N=256, 3D Complex FFT Routine", Higher Results Are Better "1",15492.693718425,15533.708088818,15152.028048522 "2",15541.605092297,15909.406640025,15815.744082964 "3",15711.64067994,15152.545602329,15448.219454725 "LZ4 Compression 1.9.3 - Compression Level: 3 - Compression Speed", Higher Results Are Better "1",42.02,43.9,42.39 "2",43.92,39.96,44.38,42.08,42.18,42.25,42.57,43.63,44.03,38.94,43.89,40.66,43.61,40.74,42.28 "3",43.42,37.92,44.16,42.82,42.21,37.76,36.12,42.39,43.56,41.86,42.81,42.27,44.43,43.54,41.92 "TensorFlow Lite 2020-08-23 - Model: Mobilenet Float", Lower Results Are Better "1",310221,309987,309629 "2",307468,302657,308685 "3",308497,316661,314489 "oneDNN 2.0 - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",13.4313,13.3763,11.7455,13.4437,13.4149,11.6846,13.476,13.4395,13.4274,13.3771,13.4794,13.3536,11.7311,13.3667,13.357 "2",11.8913,13.4567,13.5917,13.3864,13.4589,13.4242,13.5209,13.5541,13.4545,13.4578,13.4748,11.9147,13.4666,13.5434,11.9311 "3",13.2636,13.3776,13.457 "LibRaw 0.20 - Post-Processing Benchmark", Higher Results Are Better "1",19.46,19.33,19.29 "2",19.87,19.51,19.61 "3",20.03,19.69,19.64 "GROMACS 2020.3 - Water Benchmark", Higher Results Are Better "1",0.329,0.335,0.334 "2",0.327,0.334,0.328 "3",0.316,0.33,0.332 "dav1d 0.8.1 - Video Input: Chimera 1080p 10-bit", Higher Results Are Better "1",52.28,52.51,52.85 "2",52.54,51.98,52.64 "3",52.9,53.73,53.91 "RNNoise 2020-06-28 - ", Lower Results Are Better "1",22.198,22.289,22.226 "2",22.853,22.404,24.176,22.28,22.202,22.288,22.956,22.387 "3",22.21,23.276,22.253 "oneDNN 2.0 - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",30.6401,31.0977,30.6841 "2",30.9791,31.945,31.32 "3",30.6198,30.7564,31.0861 "oneDNN 2.0 - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",8172.26,8540.11,8598.98 "2",8313.83,8112.62,8406.14 "3",8220.67,8407.38,8400.14 "Hugin - Panorama Photo Assistant + Stitching Time", Lower Results Are Better "1",81.074,81.89,83.054 "2",83.493,83.175,84.076 "3",81.935,82.313,82.315 "NCNN 20201218 - Target: CPU - Model: regnety_400m", Lower Results Are Better "1",19.08,19,19.25 "2",18.79,18.76,19.06 "3",18.41,19.02,18.82 "NCNN 20201218 - Target: CPU - Model: shufflenet-v2", Lower Results Are Better "1",12.85,12.64,12.45 "2",12.64,12.9,13.12 "3",12.96,12.66,12.48 "NCNN 20201218 - Target: CPU-v3-v3 - Model: mobilenet-v3", Lower Results Are Better "1",9.72,9.75,9.54 "2",9.44,9.59,9.44 "3",9.61,9.64,9.53 "NCNN 20201218 - Target: CPU - Model: vgg16", Lower Results Are Better "1",117.45,116.85,117.26 "2",119.46,118.95,119.72 "3",117.14,117.71,117.5 "NCNN 20201218 - Target: CPU - Model: efficientnet-b0", Lower Results Are Better "1",17.36,16.98,16.87 "2",16.75,16.71,16.81 "3",16.65,17.05,16.97 "NCNN 20201218 - Target: CPU - Model: resnet50", Lower Results Are Better "1",74.18,71.92,71.55 "2",72.36,73.58,73.49 "3",71.45,71.91,72.1 "asmFish 2018-07-23 - 1024 Hash Memory, 26 Depth", Higher Results Are Better "1",7696997,7795531,7751612 "2",7887276,7713402,7807807 "3",7611696,7709319,7686114 "Basis Universal 1.12 - Settings: UASTC Level 0", Lower Results Are Better "1",11.865,11.94,11.888 "2",11.925,11.998,12.239 "3",11.859,11.869,11.861 "Stockfish 12 - Total Time", Higher Results Are Better "1",5727883,5797146,5629479 "2",5499526,5626488,5758645 "3",5574905,5708364,5662499 "oneDNN 2.0 - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",22.0903,22.5319,23.0018 "2",21.643,23.0876,23.3143,22.2846,21.0935,21.5967,21.8125,23.3246,22.7759,21.6713,22.3231,21.9914,22.5986,22.9608,22.2378 "3",22.387,22.7257,22.873 "Darktable 3.2.1 - Test: Server Room - Acceleration: CPU-only", Lower Results Are Better "1",20.283,20.86,20.942 "2",20.769,21.07,21.184 "3",20.356,20.9,20.961 "oneDNN 2.0 - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",7741.11,7702.17,7720.12 "2",7964.23,7709.74,7708.43 "3",7881.52,7852.03,7779.6 "KeyDB 6.0.16 - ", Higher Results Are Better "1",270718.81,259875.13,264629.42 "2",271266.88,264632.8,265739.16 "3",270955.21,270837.89,265340.35 "NCNN 20201218 - Target: Vulkan GPU - Model: mobilenet", Lower Results Are Better "1",46.41,46.35,46.45 "2",46.22,48.98,46.41,46.42 "3",46.21,46.3,46.44 "Darktable 3.2.1 - Test: Server Rack - Acceleration: CPU-only", Lower Results Are Better "1",0.337,0.339,0.342 "2",0.344,0.343,0.34 "3",0.351,0.337,0.344 "Zstd Compression 1.4.5 - Compression Level: 3", Higher Results Are Better "1",2347.7,2393.3,2297.1 "2",2359.1,2329.7,2385.1 "3",2332.6,2331.5,2308.6 "AOM AV1 2.0 - Encoder Mode: Speed 4 Two-Pass", Higher Results Are Better "1",1.39,1.37,1.38 "2",1.38,1.38,1.38 "3",1.41,1.4,1.39 "InfluxDB 1.8.2 - Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000", Higher Results Are Better "1",723218.7,699049.4,695838.4 "2",709121.1,689123.7,689783.8 "3",711743.5,695089.9,694830.4 "Darktable 3.2.1 - Test: Masskrug - Acceleration: CPU-only", Lower Results Are Better "1",24.117,24.233,24.167 "2",24.449,24.6,24.506 "3",24.058,24.181,24.344 "Zstd Compression 1.4.5 - Compression Level: 19", Higher Results Are Better "1",14.2,13.3,14.2,14.2,14.2 "2",14.2,14.3,14.2 "3",14.2,14.1,14.3 "OpenFOAM 8 - Input: Motorbike 30M", Lower Results Are Better "1",341.02,346.27,341.64 "2",339.77,339.01,339.84 "3",340.93,333.84,340.04 "Redis 6.0.9 - Test: SADD", Higher Results Are Better "1",1712548,1748587.38,1745926.62 "2",1748867,1727115.75,1798618.75 "3",1727502.62,1733545.88,1742439 "AOM AV1 2.0 - Encoder Mode: Speed 6 Realtime", Higher Results Are Better "1",10.21,10.09,10.1 "2",10.28,10.02,10.05 "3",10.5,10.17,10.09 "TensorFlow Lite 2020-08-23 - Model: SqueezeNet", Lower Results Are Better "1",467441,467823,467972 "2",460523,464874,460469 "3",466822,468533,466856 "Incompact3D 2020-09-17 - Input: Cylinder", Lower Results Are Better "1",818.003479,806.85083,808.009827 "2",802.007874,836.027039,825.132263 "3",821.064331,823.683655,816.220459 "NCNN 20201218 - Target: Vulkan GPU - Model: vgg16", Lower Results Are Better "1",117.5,116.8,118.08 "2",119.23,118.95,119.25,118.22 "3",118.36,117.87,117.88 "TensorFlow Lite 2020-08-23 - Model: Inception V4", Lower Results Are Better "1",6469840,6392450,6460760 "2",6403420,6377600,6388810 "3",6475640,6469680,6460380 "NCNN 20201218 - Target: CPU - Model: blazeface", Lower Results Are Better "1",3.31,3.33,3.29 "2",3.27,3.35,3.38 "3",3.35,3.23,3.29 "oneDNN 2.0 - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",38.6275,39.1868,38.7033 "2",38.5347,39.3043,39.0795 "3",37.4863,39.0661,38.9641 "Redis 6.0.9 - Test: SET", Higher Results Are Better "1",1484391.62,1501741.75,1483774.38 "2",1512859.25,1449321.75,1497053.88 "3",1520291.75,1383258.62,1445503,1501645.62,1484106.75,1459947.5,1499442.25,1486121.88 "NAMD 2.14 - ATPase Simulation - 327,506 Atoms", Lower Results Are Better "1",6.72807,6.75695,6.77718 "2",6.82862,6.84606,6.72237 "3",7.17657,6.69858,6.76515,6.82167,6.70223 "Mobile Neural Network 1.1.1 - Model: inception-v3", Lower Results Are Better "1",63.229,63.246,63.771 "2",63.622,64.641,63.729 "3",63.008,63.156,63.643 "x265 3.4 - Video Input: Bosphorus 1080p", Higher Results Are Better "1",19.55,19.19,19.72 "2",19.65,19.45,19.69 "3",19.73,19.51,19.9 "NCNN 20201218 - Target: CPU - Model: googlenet", Lower Results Are Better "1",32.94,32.36,32.47 "2",32.76,32.72,32.9 "3",32.77,32.32,32.19 "NCNN 20201218 - Target: CPU - Model: mobilenet", Lower Results Are Better "1",47.73,46.51,46.24 "2",46.4,46.62,46.45 "3",46.35,46.38,46.22 "OSBench - Test: Create Files", Lower Results Are Better "1",18.709295,18.083908,17.94446 "2",18.078432,18.728934,18.140171 "3",18.216331,18.644108,18.465147 "rav1e 0.4 - Speed: 5", Higher Results Are Better "1",0.847,0.847,0.85 "2",0.844,0.842,0.845 "3",0.839,0.839,0.839 "Crafty 25.2 - Elapsed Time", Higher Results Are Better "1",6268571,6277373,6276882 "2",6218031,6258246,6288768 "3",6298694,6299145,6368367 "dav1d 0.8.1 - Video Input: Summer Nature 1080p", Higher Results Are Better "1",182.3,181.85,184.51 "2",183.08,183.34,184.07 "3",185.05,184.11,185.27 "LAMMPS Molecular Dynamics Simulator 29Oct2020 - Model: Rhodopsin Protein", Higher Results Are Better "1",2.633,2.586,2.591 "2",2.552,2.647,2.56 "3",2.585,2.675,2.58 "NCNN 20201218 - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3", Lower Results Are Better "1",9.4,9.83,9.53 "2",9.71,10.08,9.52,9.46 "3",9.78,9.47,9.56 "NCNN 20201218 - Target: Vulkan GPU - Model: alexnet", Lower Results Are Better "1",23.61,23.4,23.36 "2",23.32,23.22,23.25,23.18 "3",23.44,23.51,23.49 "BYTE Unix Benchmark 3.6 - Computational Test: Dhrystone 2", Higher Results Are Better "1",36059497.1,35091593.5,35347268.4 "2",35378389.7,35947886.9,36048968.8 "3",34420043.2,35925884.8,35937019.7 "NCNN 20201218 - Target: Vulkan GPU - Model: regnety_400m", Lower Results Are Better "1",18.7,18.94,19 "2",18.82,19.49,19.04,18.9 "3",19.05,19.08,19.08 "Embree 3.9.0 - Binary: Pathtracer - Model: Asian Dragon", Higher Results Are Better "1",3.2773,3.338,3.3267 "2",3.3087,3.2878,3.3373 "3",3.2861,3.3871,3.3564 "CP2K Molecular Dynamics 8.1 - Fayalite-FIST Data", Lower Results Are Better "1", "2", "3", "NCNN 20201218 - Target: CPU - Model: alexnet", Lower Results Are Better "1",23.23,23.15,23.51 "2",23.51,23.46,23.28 "3",23.64,23.5,23.4 "AOM AV1 2.0 - Encoder Mode: Speed 6 Two-Pass", Higher Results Are Better "1",2.22,2.21,2.22 "2",2.22,2.22,2.22 "3",2.22,2.25,2.24 "LZ4 Compression 1.9.3 - Compression Level: 1 - Decompression Speed", Higher Results Are Better "1",8712.3,8720.7,8734.1 "2",8639.4,8663.5,8636 "3",8605,8800,8665.2 "SQLite Speedtest 3.30 - Timed Time - Size 1,000", Lower Results Are Better "1",80.965,81.44,81.26 "2",80.557,82.943,80.77 "3",81.104,81.369,83.327 "oneDNN 2.0 - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",5.79418,5.79262,5.85571 "2",5.81411,5.85645,5.8533 "3",5.76476,5.79254,5.81626 "yquake2 7.45 - Renderer: OpenGL 3.x - Resolution: 1920 x 1080", Higher Results Are Better "1",816.5,806.1,819.7 "2",802,806.1,813.4 "3",804.1,802,817.6 "WebP Image Encode 1.1 - Encode Settings: Default", Lower Results Are Better "1",1.646,1.645,1.652 "2",1.657,1.664,1.665 "3",1.647,1.676,1.649 "Redis 6.0.9 - Test: LPUSH", Higher Results Are Better "1",1200787.5,1248759,1199462.88 "2",1207729.5,1218026.88,1213708.75 "3",1224577.75,1215105.75,1230169.75 "Sockperf 3.4 - Test: Throughput", Higher Results Are Better "1",554730,547063,535468,562366,575646 "2",562250,555980,551226,556632,572228 "3",551013,559772,556066,552257,569216 "Warsow 2.5 Beta - Resolution: 1920 x 1080", Higher Results Are Better "1",155.5,159.4,159.4 "2",159.4,159.6,159.2 "3",159.3,159.6,159.3 "IndigoBench 4.4 - Acceleration: CPU - Scene: Supercar", Higher Results Are Better "1",1.11,1.112,1.1 "2",1.081,1.11,1.104 "3",1.108,1.107,1.103 "IndigoBench 4.4 - Acceleration: CPU - Scene: Bedroom", Higher Results Are Better "1",0.492,0.494,0.496 "2",0.495,0.494,0.494 "3",0.501,0.497,0.495 "WebP Image Encode 1.1 - Encode Settings: Quality 100, Lossless, Highest Compression", Lower Results Are Better "1",58.182,57.366,57.463 "2",57.218,57.252,57.178 "3",57.273,57.511,57.572 "Numpy Benchmark - ", Higher Results Are Better "1",242.75,242.6,241.66 "2",240.7,241.78,241.6 "3",244.24,242.62,242.93 "PHPBench 0.8.1 - PHP Benchmark Suite", Higher Results Are Better "1",507773,507598,508947 "2",508649,502231,507286 "3",506077,499707,506693 "Embree 3.9.0 - Binary: Pathtracer ISPC - Model: Asian Dragon Obj", Higher Results Are Better "1",2.8332,2.7962,2.8303 "2",2.8198,2.8685,2.823 "3",2.7941,2.8445,2.8066 "Coremark 1.0 - CoreMark Size 666 - Iterations Per Second", Higher Results Are Better "1",102027.802576,104119.216503,101426.307448 "2",101355.631572,101613.108091,102327.961115 "3",103079.500064,102060.343178,101878.382681 "Embree 3.9.0 - Binary: Pathtracer - Model: Asian Dragon Obj", Higher Results Are Better "1",3.0303,2.9484,2.9922 "2",2.9894,2.9432,2.9719 "3",3.0213,2.9516,2.9618 "Caffe 2020-02-13 - Model: AlexNet - Acceleration: CPU - Iterations: 100", Lower Results Are Better "1",41557,41850,42225 "2",41491,41745,41779 "3",41305,41760,41653 "Dolfyn 0.527 - Computational Fluid Dynamics", Lower Results Are Better "1",21.206,21.018,20.982 "2",21.1,21.081,21.235 "3",21.03,20.905,21.028 "NCNN 20201218 - Target: Vulkan GPU - Model: resnet18", Lower Results Are Better "1",29.61,29.18,28.72 "2",29.49,28.96,28.92,28.96 "3",29.24,29.28,29.32 "NCNN 20201218 - Target: Vulkan GPU - Model: yolov4-tiny", Lower Results Are Better "1",59.02,58.93,59.06 "2",59.38,59.57,59.39,59.26 "3",58.98,59.37,59.5 "OSBench - Test: Launch Programs", Lower Results Are Better "1",81.589222,81.958771,81.021786 "2",81.90155,81.930161,82.070827 "3",82.199574,82.130432,81.889629 "Kvazaar 2.0 - Video Input: Bosphorus 4K - Video Preset: Medium", Higher Results Are Better "1",1.49,1.49,1.49 "2",1.49,1.49,1.49 "3",1.5,1.5,1.49 "OSBench - Test: Create Threads", Lower Results Are Better "1",14.970303,14.891624,14.898777 "2",14.998913,14.770031,14.70089 "3",15.16819,14.669895,14.88924 "rav1e 0.4 - Speed: 6", Higher Results Are Better "1",1.091,1.075,1.08 "2",1.083,1.085,1.082 "3",1.094,1.085,1.087 "Embree 3.9.0 - Binary: Pathtracer - Model: Crown", Higher Results Are Better "1",2.7884,2.7404,2.7516 "2",2.7733,2.766,2.7585 "3",2.7952,2.771,2.7674 "Kvazaar 2.0 - Video Input: Bosphorus 1080p - Video Preset: Very Fast", Higher Results Are Better "1",15.71,15.57,15.52 "2",15.43,15.64,15.5 "3",15.63,15.56,15.68 "oneDNN 2.0 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",7.31852,7.35001,7.40379 "2",7.36891,7.34645,7.36647 "3",7.32815,7.30326,7.30913 "WavPack Audio Encoding 5.3 - WAV To WavPack", Lower Results Are Better "1",15.103,15.07,15.062,15.103,15.074 "2",15.114,15.06,15.106,15.058,15.049 "3",16.911,15.061,15.084,15.083,15.075,15.079,15.083,15.143,15.22,15.062,15.084,15.145,15.061,15.054,15.15,15.059,15.056,15.058,15.059,15.056,15.062 "ASTC Encoder 2.0 - Preset: Medium", Lower Results Are Better "1",12.71,12.79,12.8 "2",12.9,12.76,12.82 "3",12.7,12.73,12.81 "NCNN 20201218 - Target: CPU - Model: squeezenet_ssd", Lower Results Are Better "1",59.47,59.39,59.31 "2",59.79,59.34,60.01 "3",58.87,59.32,59.82 "ASTC Encoder 2.0 - Preset: Fast", Lower Results Are Better "1",9.69,9.68,9.88 "2",9.76,9.81,9.66 "3",9.78,9.7,9.92 "Embree 3.9.0 - Binary: Pathtracer ISPC - Model: Crown", Higher Results Are Better "1",2.5888,2.5748,2.5822 "2",2.5514,2.587,2.5626 "3",2.5946,2.5502,2.6037 "Timed Eigen Compilation 3.3.9 - Time To Compile", Lower Results Are Better "1",112.853,114.583,113.123 "2",113.752,113.918,113.291 "3",112.873,113.359,112.66 "OCRMyPDF 10.3.1+dfsg - Processing 60 Page PDF Document", Lower Results Are Better "1",52.886,52.711,52.427 "2",52.598,52.732,52.892 "3",52.786,53.04,53.131 "Monte Carlo Simulations of Ionised Nebulae 2019-03-24 - Input: Dust 2D tau100.0", Lower Results Are Better "1", "2",339,343,337 "3",340,342,342 "oneDNN 2.0 - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",7823.7,7698.52,7718.4 "2",7779.68,7700,7697.2 "3",7699.55,7730.89,7674.81 "NCNN 20201218 - Target: Vulkan GPU - Model: mnasnet", Lower Results Are Better "1",10.37,10.24,10.53 "2",10.46,10.98,10.05,10.25 "3",10.43,10.56,10.3 "NCNN 20201218 - Target: Vulkan GPU - Model: squeezenet_ssd", Lower Results Are Better "1",59.24,59.43,59.18 "2",58.89,59.52,59.24,59 "3",59.57,59.73,59.19 "Timed Godot Game Engine Compilation 3.2.3 - Time To Compile", Lower Results Are Better "1",501.518,500.986,501.096 "2",504.529,503.892,503.511 "3",502.044,503.153,502.628 "Mobile Neural Network 1.1.1 - Model: resnet-v2-50", Lower Results Are Better "1",51.215,49.541,49.892 "2",49.61,50.546,50.65 "3",50.968,50.473,50.027 "eSpeak-NG Speech Engine 20200907 - Text-To-Speech Synthesis", Lower Results Are Better "1",34.926,35.044,35.421,35.146 "2",34.982,35.329,35.441,35.524 "3",35.195,35.34,35.095,35.617 "InfluxDB 1.8.2 - Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000", Higher Results Are Better "1",725172.1,718969.3,720143.6 "2",728274.2,724862.3,722536.1 "3",729023.2,717363.4,723279.6 "NCNN 20201218 - Target: CPU - Model: resnet18", Lower Results Are Better "1",29.03,28.76,29.32 "2",29.24,28.84,29.04 "3",29.76,29.17,28.6 "Mobile Neural Network 1.1.1 - Model: MobileNetV2_224", Lower Results Are Better "1",5.398,5.412,5.461 "2",5.492,5.402,5.364 "3",5.325,5.425,5.443 "NCNN 20201218 - Target: Vulkan GPU - Model: efficientnet-b0", Lower Results Are Better "1",16.91,16.91,17.11 "2",16.59,17.7,16.88,16.61 "3",17.18,16.75,16.76 "Timed FFmpeg Compilation 4.2.2 - Time To Compile", Lower Results Are Better "1",181.864,182.875,181.829 "2",182.595,183.298,183.179 "3",181.355,183.857,182.59 "Google SynthMark 20201109 - Test: VoiceMark_100", Higher Results Are Better "1",597.089,598.447,593.226 "2",594.859,597.209,597.778 "3",591.638,594.381,595.708 "TensorFlow Lite 2020-08-23 - Model: NASNet Mobile", Lower Results Are Better "1",314718,315578,318040 "2",316460,317451,317728 "3",315899,314867,316603 "GIMP 2.10.18 - Test: auto-levels", Lower Results Are Better "1",15.901,15.927,15.943 "2",16.011,15.652,15.897 "3",15.786,15.903,15.992 "Waifu2x-NCNN Vulkan 20200818 - Scale: 2x - Denoise: 3 - TAA: No", Lower Results Are Better "1",4.16,4.094,4.09 "2",4.12,4.107,4.102 "3",4.107,4.095,4.09 "GIMP 2.10.18 - Test: rotate", Lower Results Are Better "1",14.479,14.475,14.507 "2",14.46,14.41,14.541 "3",14.384,14.403,14.485 "yquake2 7.45 - Renderer: Software CPU - Resolution: 1920 x 1080", Higher Results Are Better "1",93.6,92.8,92.3 "2",93.2,93.3,93.3 "3",93.3,93.3,93.2 "WebP Image Encode 1.1 - Encode Settings: Quality 100", Lower Results Are Better "1",2.586,2.585,2.613 "2",2.614,2.591,2.597 "3",2.587,2.597,2.585 "x265 3.4 - Video Input: Bosphorus 4K", Higher Results Are Better "1",4.84,4.79,4.81 "2",4.82,4.85,4.82 "3",4.87,4.8,4.81 "oneDNN 2.0 - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",16.392,16.8788,16.3579 "2",16.9271,16.3477,16.3925 "3",17.0172,16.6427,16.1726 "AOM AV1 2.0 - Encoder Mode: Speed 8 Realtime", Higher Results Are Better "1",27.2,27.23,27.16 "2",27.16,27.14,27.24 "3",27.29,27.33,27.25 "Build2 0.13 - Time To Compile", Lower Results Are Better "1",514.323,515.3,513.823 "2",520.791,513.916,514.841 "3",516.675,512.695,515.026 "Timed HMMer Search 3.3.1 - Pfam Database Search", Lower Results Are Better "1",127.116,127.218,127.113 "2",127.212,127.625,128.098 "3",127.358,127.53,127.268 "TNN 0.2.3 - Target: CPU - Model: SqueezeNet v1.1", Lower Results Are Better "1",287.36,287.398,287.007 "2",287.498,286.535,287.155 "3",286.183,286.131,286.107 "LZ4 Compression 1.9.3 - Compression Level: 1 - Compression Speed", Higher Results Are Better "1",7940.21,8096.73,7945.95 "2",7940.01,8084.04,8022.11 "3",8087.43,7839.29,8140.72 "Algebraic Multi-Grid Benchmark 1.2 - ", Higher Results Are Better "1",213412800,214092400,212969400 "2",215303400,213541300,213852000 "3",213157800,214259700,214800400 "ASTC Encoder 2.0 - Preset: Thorough", Lower Results Are Better "1",83.94,84.65,84.4 "2",84.2,84.81,84.82 "3",84.5,84.56,84.41 "dav1d 0.8.1 - Video Input: Summer Nature 4K", Higher Results Are Better "1",52.61,51.62,51.52 "2",52.74,51.69,51.56 "3",52.96,51.76,51.56 "ASTC Encoder 2.0 - Preset: Exhaustive", Lower Results Are Better "1",694.33,695.51,698.3 "2",696.81,698.41,697.27 "3",695.01,695.64,695.06 "GIMP 2.10.18 - Test: resize", Lower Results Are Better "1",13.037,12.74,12.788 "2",12.871,12.744,12.982 "3",13.032,12.706,12.739 "Kvazaar 2.0 - Video Input: Bosphorus 4K - Video Preset: Ultra Fast", Higher Results Are Better "1",6.86,6.8,6.86 "2",6.79,6.93,6.84 "3",6.87,6.81,6.82 "Timed MAFFT Alignment 7.471 - Multiple Sequence Alignment - LSU RNA", Lower Results Are Better "1",15.469,14.806,14.852 "2",15.103,14.989,14.908 "3",15.232,14.879,14.995 "RawTherapee - Total Benchmark Time", Lower Results Are Better "1",123.678,123.582,123.793 "2",123.051,123.376,123.787 "3",123.062,123.414,123.54 "Kvazaar 2.0 - Video Input: Bosphorus 4K - Video Preset: Very Fast", Higher Results Are Better "1",3.94,3.95,3.94 "2",3.94,3.93,3.94 "3",3.96,3.93,3.95 "WebP Image Encode 1.1 - Encode Settings: Quality 100, Lossless", Lower Results Are Better "1",24.924,24.832,24.927 "2",25.045,25.072,24.755 "3",24.851,24.555,25.294 "VKMark 2020-05-21 - Resolution: 1920 x 1080", Higher Results Are Better "1", "2", "3", "Monkey Audio Encoding 3.99.6 - WAV To APE", Lower Results Are Better "1",16.152,15.897,15.892,15.919,15.917 "2",16.306,16,15.926,15.862,15.878 "3",16.183,15.959,15.936,15.945,15.953 "NCNN 20201218 - Target: Vulkan GPU - Model: googlenet", Lower Results Are Better "1",32.9,32.58,32.21 "2",32.83,32.83,32.33,32.56 "3",32.46,32.85,32.47 "NCNN 20201218 - Target: CPU - Model: yolov4-tiny", Lower Results Are Better "1",59.35,59.31,59.17 "2",59.26,59.54,59.45 "3",59.4,59.24,59.2 "Opus Codec Encoding 1.3.1 - WAV To Opus Encode", Lower Results Are Better "1",9.016,8.931,8.944,8.815,8.972 "2",8.942,8.844,8.861,8.97,8.998 "3",8.996,8.913,8.894,8.877,8.893 "Basis Universal 1.12 - Settings: UASTC Level 2", Lower Results Are Better "1",86.044,86.532,86.86 "2",86.187,86.694,86.74 "3",86.05,86.376,86.594 "CloverLeaf - Lagrangian-Eulerian Hydrodynamics", Lower Results Are Better "1",191.11387491226,191.34653687477,191.76486706734 "2",191.58367204666,191.40936398506,191.35375213623 "3",190.87704205513,191.04066610336,191.11079192162 "Embree 3.9.0 - Binary: Pathtracer ISPC - Model: Asian Dragon", Higher Results Are Better "1",3.2205,3.2665,3.2424 "2",3.2256,3.2694,3.2563 "3",3.2438,3.2523,3.2484 "Kvazaar 2.0 - Video Input: Bosphorus 1080p - Video Preset: Ultra Fast", Higher Results Are Better "1",27.3,26.77,26.96 "2",26.98,27.11,27.13 "3",27.08,27,27.06 "Caffe 2020-02-13 - Model: GoogleNet - Acceleration: CPU - Iterations: 100", Lower Results Are Better "1",109887,110111,110254 "2",110276,110398,110287 "3",109747,110211,110514 "Unpacking Firefox 84.0 - Extracting: firefox-84.0.source.tar.xz", Lower Results Are Better "1",23.921,23.854,23.814,23.797 "2",23.846,23.868,23.742,23.739 "3",23.964,23.59,23.906,23.764 "dav1d 0.8.1 - Video Input: Chimera 1080p", Higher Results Are Better "1",184.33,184.21,184.22 "2",180.81,184.96,186.74 "3",180.11,185.51,186.03 "Hierarchical INTegration 1.0 - Test: FLOAT", Higher Results Are Better "1",300870890.00454,301739970.26838,301389189.70853 "2",301490385.92398,301868716.18175,301703338.45953 "3",302227671.22675,301480960.52789,299847318.01264 "GLmark2 2020.04 - Resolution: 1920 x 1080", Higher Results Are Better "1", "2", "3", "Kvazaar 2.0 - Video Input: Bosphorus 1080p - Video Preset: Medium", Higher Results Are Better "1",6.49,6.53,6.5 "2",6.51,6.53,6.49 "3",6.51,6.47,6.53 "LZ4 Compression 1.9.3 - Compression Level: 9 - Decompression Speed", Higher Results Are Better "1",8574.4,8553.4,8534,8592.3,8573.8,8551.3,8513.2,8593.6,8560,8586.4,8575.7,8567.8,8571.8 "2",8612.2,8545.4,8559,8569.5,8527.1,8538,8537.5,8548.3,8555.4,8548.2,8543.5,8567.8,8514.6,8555.3,8560.4 "3",8538.2,8579.9,8579.9,8547,8556.9,8575.1,8563.4,8555.3,8551.6,8564,8559.3,8561.5,8570.9,8585.4,8554.3 "Basis Universal 1.12 - Settings: ETC1S", Lower Results Are Better "1",82.135,81.969,82.077 "2",82.445,81.955,82.135 "3",82.187,81.96,82.081 "TensorFlow Lite 2020-08-23 - Model: Inception ResNet V2", Lower Results Are Better "1",5695700,5684170,5694060 "2",5691440,5702280,5697530 "3",5699180,5691600,5676430 "TNN 0.2.3 - Target: CPU - Model: MobileNet v2", Lower Results Are Better "1",279.301,279.284,279.433 "2",279.893,280.227,278.759 "3",279.81,278.798,279.226 "GIMP 2.10.18 - Test: unsharp-mask", Lower Results Are Better "1",17.341,17.353,17.301 "2",17.373,17.228,17.349 "3",17.321,17.292,17.37 "LZ4 Compression 1.9.3 - Compression Level: 3 - Decompression Speed", Higher Results Are Better "1",8515.3,8542.1,8605.5 "2",8494.5,8544.5,8562.2,8570.6,8514,8525,8542.4,8615.7,8571.8,8530.8,8553.4,8506,8539.7,8557.7,8589.1 "3",8499.7,8538.7,8545.2,8590.2,8553.5,8541.2,8549.5,8555.2,8535.4,8533.4,8592.3,8541.2,8559.6,8533.2,8539.6 "RealSR-NCNN 20200818 - Scale: 4x - TAA: Yes", Lower Results Are Better "1",482.557,482.629,482.64 "2",482.839,482.82,482.859 "3",482.553,482.555,482.546 "Waifu2x-NCNN Vulkan 20200818 - Scale: 2x - Denoise: 3 - TAA: Yes", Lower Results Are Better "1",26.672,26.675,26.678 "2",26.684,26.675,26.695 "3",26.67,26.672,26.678 "RealSR-NCNN 20200818 - Scale: 4x - TAA: No", Lower Results Are Better "1",63.075,63.016,62.993 "2",63.088,62.98,63.001 "3",63.029,63.013,62.964 "WebP Image Encode 1.1 - Encode Settings: Quality 100, Highest Compression", Lower Results Are Better "1",8.875,8.871,8.871 "2",8.852,8.889,8.872 "3",8.876,8.887,8.843 "simdjson 0.7.1 - Throughput Test: DistinctUserID", Higher Results Are Better "1",0.46,0.46,0.46 "2",0.46,0.46,0.46 "3",0.46,0.46,0.46 "simdjson 0.7.1 - Throughput Test: PartialTweets", Higher Results Are Better "1",0.45,0.45,0.44 "2",0.45,0.45,0.45 "3",0.45,0.45,0.45 "simdjson 0.7.1 - Throughput Test: LargeRandom", Higher Results Are Better "1",0.35,0.35,0.35 "2",0.35,0.35,0.35 "3",0.34,0.35,0.35 "simdjson 0.7.1 - Throughput Test: Kostya", Higher Results Are Better "1",0.38,0.38,0.38 "2",0.38,0.38,0.38 "3",0.38,0.38,0.38 "CLOMP 1.2 - Static OMP Speedup", Higher Results Are Better "1", "2",2,1.9,2 "3", "NCNN 20201218 - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2", Lower Results Are Better "1",10.86,10.91,10.88 "2",11.12,11.92,11.17,10.97 "3",9.93,10.94,11.17 "oneDNN 2.0 - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",42.6381,33.3553,38.434,44.0456,42.8602,45.3664,29.5461,29.6726,42.8351,29.7209,34.0249,31.3815,29.7646,32.8273,41.921 "2",44.9552,43.6409,33.4418,32.7701,43.2978,29.8622,43.6737,43.9259,29.5776,29.6876,43.5104,29.6053,29.8929,29.9645,29.8854 "3",32.505,29.7079,29.1921,32.9978,29.3675,43.2836,29.3489,31.5647,43.0714,29.5837,32.888,33.1943 "LZ4 Compression 1.9.3 - Compression Level: 9 - Compression Speed", Higher Results Are Better "1",43.81,45.93,35.77,40.75,45.03,45.12,40.78,41.07,41.51,41.39,41.55,43.02,43.14 "2",41.82,43.05,39.24,42.17,41.37,40.26,43.19,41.4,36.17,37.76,39.22,41.59,43.19,43.43,41.39 "3",42.68,38.26,41.44,41.48,40.38,41.35,41.44,38.45,43.02,39.49,43.14,43.68,42,38.6,42.97 "Sockperf 3.4 - Test: Latency Under Load", Lower Results Are Better "1",52.912,53.705,62.91,58.044,55.346,64.869,73.269,54.334,45.218,59.846,38.523,54.212,51.423,65.507,63.642,33.806,49.8,39.028,55.314,43.786 "2",47.906,57.801,77.37,49.191,33.198,57.608,47.652,40.562,54.097,67.304,56.981,56.406,53.792,36.901,63.994,43.703,49.479,44.691,55.199,53.412,48.128,58.413,58.141,54.869,52.145 "3",55.838,60.463,67.542,55.384,46.514,47.149,49.153,30.195,56.33,58.897,48.538,73.479,42.828,49.256,53.74,57.268,51.479,38.824,42.13,48.826,43.219,50.423,47.48,58.414,34.111