Broadwell 2021, "Betsy GPU Compressor 1.1 Beta - Codec: ETC1 - Quality: Highest", Lower Results Are Better "R1",17.798,15.988,15.968,15.952,16.22,15.967,15.965,15.973,15.948,15.972,15.976,15.974,16.229 "2",16.87,15.898,15.971,15.968 "3",16.753,15.899,15.973 "Betsy GPU Compressor 1.1 Beta - Codec: ETC2 RGB - Quality: Highest", Lower Results Are Better "R1",18.528,15.977,15.973,15.973,15.966,15.965,16.22,15.976,15.959,15.975,15.944,15.973,15.97 "2",16.741,15.987,15.936 "3",16.801,15.96,15.971 "BRL-CAD 7.30.8 - VGR Performance Metric", Higher Results Are Better "R1", "2", "3", "Build2 0.13 - Time To Compile", Lower Results Are Better "R1",919.136,920.149,919.228 "2",917.479,919.392,918.515 "3",906.028,904.946,907.773 "CLOMP 1.2 - Static OMP Speedup", Higher Results Are Better "R1",1.2,1.3,1.3,1.2,1.3,1.3,1.2,1.2,1.3,1.3,1.3,1.2 "2",1.2,1.2,1.2 "3",1.3,1.3,1.3 "Coremark 1.0 - CoreMark Size 666 - Iterations Per Second", Higher Results Are Better "R1",60926.076361,60922.983195,60262.14031 "2",60941.5469,59859.330573,59447.141583 "3",60818.002129,60380.396498,59838.436222 "Cryptsetup - PBKDF2-sha512", Higher Results Are Better "R1",1264868,1264868,1260307 "2",1258794,1264868,1264868 "3",1263344,1264868,1261824 "Cryptsetup - PBKDF2-whirlpool", Higher Results Are Better "R1",514007,513001,514007 "2", "3",514007,513001,513001 "Cryptsetup - AES-XTS 256b Encryption", Higher Results Are Better "R1",1603.4,1589.9,1539.1 "2",1597.1,1550.3,1596.8 "3",1592,1588.5,1590.7 "Cryptsetup - AES-XTS 256b Decryption", Higher Results Are Better "R1",1587,1590.3,1554.8 "2",1597.7,1605.7,1556.6 "3",1538.7,1560.9,1579.1 "Cryptsetup - Serpent-XTS 256b Encryption", Higher Results Are Better "R1",503.2,505.7,506.5 "2",505.4,507,503.8 "3",504.5,501.2,504.6 "Cryptsetup - Serpent-XTS 256b Decryption", Higher Results Are Better "R1",488.6,489,489.3 "2",485.5,490.8,489.5 "3",485.7,489.7,490.6 "Cryptsetup - Twofish-XTS 256b Encryption", Higher Results Are Better "R1",314.6,313.4,311.7 "2",314.3,315,313.5 "3",315.2,314.6,315.8 "Cryptsetup - Twofish-XTS 256b Decryption", Higher Results Are Better "R1",314.3,315.8,314.4 "2",315.5,316.1,316.4 "3",315.5,317.5,314.6 "Cryptsetup - AES-XTS 512b Encryption", Higher Results Are Better "R1",1306.7,1315.2,1292.9 "2",1293.5,1274.1,1294.8 "3",1290.7,1283.4,1283.6 "Cryptsetup - AES-XTS 512b Decryption", Higher Results Are Better "R1",1287.8,1271.9,1295.7 "2",1315.4,1271.6,1280.9 "3",1282.2,1276.7,1261.4 "Cryptsetup - Serpent-XTS 512b Encryption", Higher Results Are Better "R1",506.7,505.1,503.7 "2",506.2,506.4,507.7 "3",508.4,505.1,505.7 "Cryptsetup - Serpent-XTS 512b Decryption", Higher Results Are Better "R1",487.9,487.1,491.1 "2",490.3,488.8,492.3 "3",486.8,488.5,488.1 "Cryptsetup - Twofish-XTS 512b Encryption", Higher Results Are Better "R1",315.4,313.5,315.9 "2",316.5,314.6,316 "3",314.7,314.3,314.2 "Cryptsetup - Twofish-XTS 512b Decryption", Higher Results Are Better "R1",314.4,314.5,316.2 "2",315.1,317.6,313.9 "3",314.5,315.7,316.1 "Libplacebo 2.72.2 - Test: deband_heavy", Higher Results Are Better "R1",38.62,38.66,38.67 "2",38.61,38.61,38.61 "3",38.6,38.65,38.64 "Libplacebo 2.72.2 - Test: polar_nocompute", Higher Results Are Better "R1",23.72,23.72,23.75 "2",23.72,23.71,23.74 "3",23.74,23.71,23.74 "Libplacebo 2.72.2 - Test: hdr_peakdetect", Higher Results Are Better "R1",32740.66,32453.94,33433.07 "2",32537.26,33627.79,32568.93 "3",32344.81,33690.79,32712.63 "Libplacebo 2.72.2 - Test: av1_grain_lap", Higher Results Are Better "R1",536.76,536.78,537.8 "2",531.04,535.58,536.9 "3",536.49,532.83,533.13 "Monkey Audio Encoding 3.99.6 - WAV To APE", Lower Results Are Better "R1",17.008,16.984,16.757,16.766,16.728 "2",17.085,16.817,16.781,16.781,16.749 "3",16.995,16.769,16.827,16.869,16.882 "NCNN 20201218 - Target: CPU - Model: mobilenet", Lower Results Are Better "R1",61.44,61.37,61.65 "2",61.37,61.49,61.29 "3",61.36,61.9,61.56 "NCNN 20201218 - Target: CPU-v2-v2 - Model: mobilenet-v2", Lower Results Are Better "R1",14.17,14.79,14.68 "2",14.17,14.54,14.6 "3",14.18,14.72,14.7 "NCNN 20201218 - Target: CPU-v3-v3 - Model: mobilenet-v3", Lower Results Are Better "R1",12.26,12.8,12.84 "2",12.29,12.69,12.69 "3",12.27,12.82,12.87 "NCNN 20201218 - Target: CPU - Model: shufflenet-v2", Lower Results Are Better "R1",20.25,21.97,21.97 "2",20.09,21.94,21.99 "3",20.18,22.08,21.64 "NCNN 20201218 - Target: CPU - Model: mnasnet", Lower Results Are Better "R1",13.51,14.62,14.64 "2",13.23,14.53,14.39 "3",13.35,14.52,14.6 "NCNN 20201218 - Target: CPU - Model: efficientnet-b0", Lower Results Are Better "R1",21.69,22.82,22.99 "2",21.4,22.41,22.51 "3",21.53,22.6,22.77 "NCNN 20201218 - Target: CPU - Model: blazeface", Lower Results Are Better "R1",5.63,5.64,5.65 "2",5.63,5.62,5.61 "3",5.62,5.64,5.64 "NCNN 20201218 - Target: CPU - Model: googlenet", Lower Results Are Better "R1",47.23,47.01,47.29 "2",46.97,47.07,46.99 "3",46.92,47.29,47.27 "NCNN 20201218 - Target: CPU - Model: vgg16", Lower Results Are Better "R1",153.5,152.89,153.15 "2",153.03,152.4,153.2 "3",152.55,153.18,153 "NCNN 20201218 - Target: CPU - Model: resnet18", Lower Results Are Better "R1",45.42,45.68,45.42 "2",45.52,45.91,45.51 "3",45.57,45.48,45.49 "NCNN 20201218 - Target: CPU - Model: alexnet", Lower Results Are Better "R1",36.52,36.86,37.15 "2",36.82,37.32,36.91 "3",36.64,36.82,36.96 "NCNN 20201218 - Target: CPU - Model: resnet50", Lower Results Are Better "R1",101.08,100.92,101.34 "2",101.03,101.41,101.07 "3",100.99,100.91,101.13 "NCNN 20201218 - Target: CPU - Model: yolov4-tiny", Lower Results Are Better "R1",79.94,79,79.39 "2",78.9,79.32,78.89 "3",78.61,79.05,78.99 "NCNN 20201218 - Target: CPU - Model: squeezenet_ssd", Lower Results Are Better "R1",71.45,71.09,71.44 "2",71.07,70.95,71.08 "3",71.18,71.38,71.22 "NCNN 20201218 - Target: CPU - Model: regnety_400m", Lower Results Are Better "R1",27.89,27.77,27.8 "2",27.6,27.81,27.74 "3",27.63,27.64,27.65 "NCNN 20201218 - Target: Vulkan GPU - Model: mobilenet", Lower Results Are Better "R1",61.57,61.43,61.65 "2",61.31,61.45,61.48 "3",61.46,61.44,61.5 "NCNN 20201218 - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2", Lower Results Are Better "R1",14.3,14.62,14.77 "2",14.18,14.62,14.62 "3",14.15,14.73,14.75 "NCNN 20201218 - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3", Lower Results Are Better "R1",12.57,12.8,12.69 "2",12.3,12.66,12.74 "3",12.33,12.72,12.79 "NCNN 20201218 - Target: Vulkan GPU - Model: shufflenet-v2", Lower Results Are Better "R1",20.79,21.87,21.93 "2",20.2,21.97,21.9 "3",20.11,22.04,21.49 "NCNN 20201218 - Target: Vulkan GPU - Model: mnasnet", Lower Results Are Better "R1",13.93,14.66,14.76 "2",13.19,14.52,14.67 "3",13.09,14.33,14.52 "NCNN 20201218 - Target: Vulkan GPU - Model: efficientnet-b0", Lower Results Are Better "R1",21.87,22.63,22.87 "2",20.64,22.56,22.7 "3",20.83,22.7,22.5 "NCNN 20201218 - Target: Vulkan GPU - Model: blazeface", Lower Results Are Better "R1",5.63,5.65,5.66 "2",5.17,5.64,5.62 "3",5.15,5.64,5.62 "NCNN 20201218 - Target: Vulkan GPU - Model: googlenet", Lower Results Are Better "R1",47.61,47.07,47.31 "2",44.63,47.04,47.1 "3",45.18,47.26,47.65 "NCNN 20201218 - Target: Vulkan GPU - Model: vgg16", Lower Results Are Better "R1",153.02,153.11,152.88 "2",152.88,152.77,153.3 "3",153.13,153.33,152.32 "NCNN 20201218 - Target: Vulkan GPU - Model: resnet18", Lower Results Are Better "R1",45.54,45.87,45.51 "2",45.35,45.5,45.38 "3",45.36,45.51,46.31 "NCNN 20201218 - Target: Vulkan GPU - Model: alexnet", Lower Results Are Better "R1",36.54,37.29,37.41 "2",36.43,36.52,37.15 "3",36.91,36.83,36.53 "NCNN 20201218 - Target: Vulkan GPU - Model: resnet50", Lower Results Are Better "R1",101.43,101.36,101.86 "2",100.95,101.62,101.08 "3",100.83,101.77,101.09 "NCNN 20201218 - Target: Vulkan GPU - Model: yolov4-tiny", Lower Results Are Better "R1",79.35,79.41,79.3 "2",79.01,78.89,78.79 "3",79.12,79.3,78.95 "NCNN 20201218 - Target: Vulkan GPU - Model: squeezenet_ssd", Lower Results Are Better "R1",71.15,71.42,71.11 "2",70.98,71.15,70.79 "3",71.18,71.02,71.34 "NCNN 20201218 - Target: Vulkan GPU - Model: regnety_400m", Lower Results Are Better "R1",27.72,27.78,27.94 "2",25.93,27.75,27.7 "3",26.19,27.82,27.73 "Node.js V8 Web Tooling Benchmark - ", Higher Results Are Better "R1",7.27,7.2,7.24 "2",7.44,7.25,7.2 "3",7.32,7.27,7.33 "Ogg Audio Encoding 1.3.4 - WAV To Ogg", Lower Results Are Better "R1",27.958,27.99,27.918 "2",27.948,27.957,27.921 "3",27.951,27.901,27.921 "oneDNN 2.0 - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU", Lower Results Are Better "R1",20.5461,20.8618,21.6041 "2",20.6551,21.0347,21.5728 "3",20.6581,21.1421,21.4314 "oneDNN 2.0 - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU", Lower Results Are Better "R1",21.2047,20.5745,20.9449 "2",20.276,20.5356,20.7401 "3",20.5729,20.7198,20.5826 "oneDNN 2.0 - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "R1",13.1307,13.3501,13.4032 "2",13.1687,13.3862,13.4426 "3",13.2966,13.5379,13.5459 "oneDNN 2.0 - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "R1",7.74926,6.84918,6.82777,6.82555,6.89015,6.9596,6.83631,6.93373,6.87274,7.49013,6.93674,6.9017,6.91147,7.08407,7.22441 "2",6.91573,6.60883,6.89971 "3",6.65924,6.66074,7.2872,6.52595,7.80781,6.49804,6.53106,6.56288,7.36429,6.70407,6.51602,7.08911,6.97613,6.49907,6.53186 "oneDNN 2.0 - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU", Lower Results Are Better "R1",27.6299,28.0589,27.701 "2",27.561,27.8425,27.8355 "3",27.3243,27.3094,27.2693 "oneDNN 2.0 - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU", Lower Results Are Better "R1",28.5448,29.2505,29.6544 "2",28.8651,29.4961,29.8522 "3",29.09,29.4126,29.923 "oneDNN 2.0 - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU", Lower Results Are Better "R1",35.2645,35.3949,35.4026 "2",35.5577,35.664,35.6903 "3",35.7674,35.8617,35.7809 "oneDNN 2.0 - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "R1",33.9061,34.101,33.6449 "2",33.46,33.6132,33.4278 "3",33.4655,33.544,33.4113 "oneDNN 2.0 - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "R1",31.5896,32.1783,32.5733 "2",31.0625,31.8153,32.209 "3",31.496,31.9976,32.4138 "oneDNN 2.0 - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "R1",26.1415,26.2243,26.2384 "2",26.2166,26.2493,26.2016 "3",26.2329,26.2239,26.289 "oneDNN 2.0 - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU", Lower Results Are Better "R1",20772.5,20866.9,20852 "2",20748.4,20909.4,20898.3 "3",20738.8,20832.9,20864.8 "oneDNN 2.0 - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU", Lower Results Are Better "R1",11332.5,11168.4,11283.3 "2",11346.9,11300.8,11348.8 "3",11195.2,11203.6,11331.8 "oneDNN 2.0 - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "R1",20836,20886.8,20836.1 "2",20843.4,20925.3,20969.4 "3",20855.7,20850.5,20837 "oneDNN 2.0 - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "R1",11294.1,11342.4,11255.8 "2",11310.5,11347.1,11293 "3",11166.5,11205.5,11229.1 "oneDNN 2.0 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU", Lower Results Are Better "R1",10.0326,10.1831,10.1125 "2",9.07699,9.1518,9.13982 "3",10.1033,10.3957,9.72721,10.0909 "oneDNN 2.0 - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "R1",20915.4,20931.3,20863.2 "2",20842.7,20846.2,20871.4 "3",20857.2,20852.4,20864.3 "oneDNN 2.0 - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "R1",11184.2,11408.4,11334.6 "2",11294.8,11258.3,11407.2 "3",11242,11198.4,11204.4 "oneDNN 2.0 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "R1",15.3784,15.4776,15.5037 "2",15.4574,15.5209,15.6562 "3",15.5386,15.5891,15.5638 "Opus Codec Encoding 1.3.1 - WAV To Opus Encode", Lower Results Are Better "R1",11.026,10.868,10.849,10.852,10.873 "2",10.987,10.88,10.851,10.911,10.887 "3",11.064,10.906,10.871,10.883,10.885 "PHPBench 0.8.1 - PHP Benchmark Suite", Higher Results Are Better "R1",529507,529685,528108 "2",529220,527998,528123 "3",529799,530542,530350 "simdjson 0.7.1 - Throughput Test: Kostya", Higher Results Are Better "R1",0.49,0.49,0.49 "2",0.49,0.49,0.49 "3",0.49,0.49,0.49 "simdjson 0.7.1 - Throughput Test: LargeRandom", Higher Results Are Better "R1",0.33,0.33,0.33 "2",0.33,0.33,0.33 "3",0.33,0.33,0.33 "simdjson 0.7.1 - Throughput Test: PartialTweets", Higher Results Are Better "R1",0.58,0.58,0.58 "2",0.58,0.58,0.58 "3",0.58,0.58,0.58 "simdjson 0.7.1 - Throughput Test: DistinctUserID", Higher Results Are Better "R1",0.59,0.59,0.59 "2",0.59,0.59,0.59 "3",0.59,0.59,0.59 "SQLite Speedtest 3.30 - Timed Time - Size 1,000", Lower Results Are Better "R1",95.292,94.766,96.686 "2",94.46,94.734,94.536 "3",95.048,95.261,95.251 "Timed Eigen Compilation 3.3.9 - Time To Compile", Lower Results Are Better "R1",116.297,116.536,116.406 "2",116.735,116.864,116.98 "3",115.84,116.004,116.262 "Timed FFmpeg Compilation 4.2.2 - Time To Compile", Lower Results Are Better "R1",341.534,341.873,342.378 "2",340.423,340.558,340.936 "3",339.614,340.342,340.648 "Timed HMMer Search 3.3.1 - Pfam Database Search", Lower Results Are Better "R1",129.095,129.184,128.74 "2",129.417,128.961,128.899 "3",129.447,129.2,129.012 "Timed MAFFT Alignment 7.471 - Multiple Sequence Alignment - LSU RNA", Lower Results Are Better "R1",17.106,16.791,17.128 "2",17.145,17.464,16.979 "3",17.358,17.355,17.395 "Unpacking Firefox 84.0 - Extracting: firefox-84.0.source.tar.xz", Lower Results Are Better "R1",29.061,26.816,27.104,27.131,27.275,27.382 "2",29.004,27.095,27.176,26.984,27.092,27.072 "3",29.885,27.165,27.153,26.906,28.089,27.391,27.105,27.101,27.44,27.422,26.992,27.1,27.26,27.13,27.002,27.11,27.508,26.712,27.44 "VkFFT 1.1.1 - ", Higher Results Are Better "R1",1123,1131,1124 "2",1124,1118,1124 "3",1127,1124,1122 "VKMark 2020-05-21 - Resolution: 800 x 600", Higher Results Are Better "R1",1675,1664,1690 "2",1690,1693,1691 "3",1661,1658,1690 "VKMark 2020-05-21 - Resolution: 1024 x 768", Higher Results Are Better "R1",1090,1088,1109 "2",1093,1089,1109 "3",1100,1087,1088 "VKMark 2020-05-21 - Resolution: 1280 x 1024", Higher Results Are Better "R1",692,694,694 "2",687,681,688 "3",690,686,691 "VKMark 2020-05-21 - Resolution: 1920 x 1080", Higher Results Are Better "R1",462,468,464 "2",462,462,460 "3",467,459,462 "VkResample 1.0 - Upscale: 2x - Precision: Double", Lower Results Are Better "R1",156.092,150.93,151.017 "2",157.345,152.462,155.926 "3",157.225,155.438,155.36 "VkResample 1.0 - Upscale: 2x - Precision: Single", Lower Results Are Better "R1",153.225,151.749,151.746 "2",155.789,151.968,149.373 "3",156.054,151.809,151.872 "Warsow 2.5 Beta - Resolution: 1280 x 1024", Higher Results Are Better "R1",70.5,70.8,70.7 "2",71.4,70,70.2 "3",62.1,69,70.3,69.6,70.7,70.7,69.8,70.2,70.5,69.7,70.5,70.5,69.9 "Warsow 2.5 Beta - Resolution: 1920 x 1080", Higher Results Are Better "R1",45.9,45.5,45.5 "2",46.1,45.7,45.7 "3",46.2,45.6,45.6 "WavPack Audio Encoding 5.3 - WAV To WavPack", Lower Results Are Better "R1",18.943,18.952,18.951,18.941,18.943 "2",18.953,18.965,18.94,18.941,18.94 "3",18.939,18.947,18.941,18.939,18.963