Core i7 9750H EOY, "VkFFT 1.1.1 - ", Higher Results Are Better "Run 1", "Run 2",1320,1321,1322 "Run 3",1320,1318,1318 "Run 4",1321,1322,1324 "VkResample 1.0 - Upscale: 2x - Precision: Double", Lower Results Are Better "Run 1",1016.221,1001.963,1007.508 "Run 2",1001.307,1000.936,1001.364 "Run 3",1000.383,1004.979,1009.848 "Run 4",1013.502,1013.655,1016.204 "VkResample 1.0 - Upscale: 2x - Precision: Single", Lower Results Are Better "Run 1",461.593,461.428,461.865 "Run 2",464.903,464.527,463.783 "Run 3",463.434,462.876,462.841 "Run 4",464.969,465.444,464.469 "CLOMP 1.2 - Static OMP Speedup", Higher Results Are Better "Run 1",2.7,2.7,2.7 "Run 2",2.7,2.7,2.7 "Run 3",2.7,2.7,2.7 "Run 4",2.7,2.7,2.7 "Timed HMMer Search 3.3.1 - Pfam Database Search", Lower Results Are Better "Run 1",117.176,117.229,117.287 "Run 2",117.191,117.073,117.166 "Run 3",117.222,117.198,117.122 "Run 4",117.505,117.587,117.121 "Timed MAFFT Alignment 7.471 - Multiple Sequence Alignment - LSU RNA", Lower Results Are Better "Run 1",10.586,10.445,10.436 "Run 2",10.506,10.801,10.881 "Run 3",10.438,10.524,10.626 "Run 4",10.843,10.664,10.313 "oneDNN 2.0 - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU", Lower Results Are Better "Run 1",6.8066,6.77868,6.81971 "Run 2",6.90434,6.93708,6.94701 "Run 3",6.79153,6.8116,6.11187,6.83916,6.85614,6.84283,6.85531,6.84395,6.86925,6.86358,6.87544,6.91753,6.85724,6.91053 "Run 4",6.76857,6.7964,6.81787 "oneDNN 2.0 - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU", Lower Results Are Better "Run 1",9.72172,9.79406,9.80627 "Run 2",9.77784,9.81409,9.79911 "Run 3",9.76077,9.81078,9.81968 "Run 4",9.91747,9.89805,9.91821 "oneDNN 2.0 - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "Run 1",3.21752,3.22887,3.23388 "Run 2",3.21095,3.24047,3.24551 "Run 3",3.21459,3.23524,3.23853 "Run 4",3.20948,3.22464,3.2366 "oneDNN 2.0 - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "Run 1",2.75727,2.77791,2.7772 "Run 2",2.75415,2.77668,2.7751 "Run 3",2.76814,2.77381,2.78617 "Run 4",2.75672,2.77111,2.76555 "oneDNN 2.0 - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU", Lower Results Are Better "Run 1",17.2227,17.3448,17.2896 "Run 2",17.2853,17.2871,17.2412 "Run 3",17.2173,17.2665,17.2209 "Run 4",17.2833,17.4352,17.2814 "oneDNN 2.0 - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU", Lower Results Are Better "Run 1",9.66071,9.45734,9.66669 "Run 2",9.74385,9.75977,9.70027 "Run 3",9.7251,9.37628,9.67258 "Run 4",9.66523,9.5494,9.40395 "oneDNN 2.0 - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU", Lower Results Are Better "Run 1",12.7714,12.7963,12.838 "Run 2",12.8179,12.8027,12.7436 "Run 3",12.8633,12.8144,12.787 "Run 4",10.8371,11.4023,12.7947,12.7826,12.837,12.7889,12.8013,12.7997,12.7687,12.7571,12.7592,12.7542,12.7702,12.7686,12.7905 "oneDNN 2.0 - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "Run 1",16.049,16.1777,16.0942 "Run 2",16.0843,16.1435,16.0659 "Run 3",16.1034,16.1264,16.0686 "Run 4",16.1171,16.1401,16.0698 "oneDNN 2.0 - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "Run 1",10.1198,10.1329,9.83334 "Run 2",9.81706,9.85677,9.92756 "Run 3",9.87341,9.8776,9.94212 "Run 4",10.1092,10.1692,10.1884 "oneDNN 2.0 - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "Run 1",5.74422,5.76667,5.74682 "Run 2",5.74487,6.19306,5.35794,5.77087,5.77099,6.00033,5.7067,5.7757,5.7699,5.77459,5.77084,5.76866 "Run 3",5.80759,5.82786,5.82601 "Run 4",5.76994,5.79468,5.78547 "oneDNN 2.0 - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU", Lower Results Are Better "Run 1",6290.62,6353.9,6380.71 "Run 2",6412.74,6380.5,6420.08 "Run 3",6359.52,6383.78,6361.44 "Run 4",6386.32,6416.91,6345.1 "oneDNN 2.0 - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU", Lower Results Are Better "Run 1",3434.18,3436.76,3411.91 "Run 2",3474.99,3479.69,3407.98 "Run 3",3406.23,3395.1,3428.91 "Run 4",3436.22,3445.26,3455.3 "oneDNN 2.0 - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "Run 1",6367.36,6381.09,6339.48 "Run 2",6372.46,6429.77,6344.02 "Run 3",6321.25,6376.39,6452.91 "Run 4",6354.31,6420.19,6395.15 "oneDNN 2.0 - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "Run 1",3395.11,3423.94,3445.75 "Run 2",3427.62,3457.03,3446.78 "Run 3",3412.61,3415.54,3446.17 "Run 4",3422.73,3409.2,3414.97 "oneDNN 2.0 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU", Lower Results Are Better "Run 1",4.09699,4.0956,4.10784 "Run 2",4.11056,4.1043,4.12315 "Run 3",4.08874,4.12345,4.10919 "Run 4",4.07962,4.09846,4.08543 "oneDNN 2.0 - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "Run 1",6415.38,6429.55,6366.87 "Run 2",6354.07,6309.66,6322.37 "Run 3",6383.73,6373.85,6352.28 "Run 4",6409.6,6371.61,6350.91 "oneDNN 2.0 - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "Run 1",3481.28,3474.59,3416.08 "Run 2",3439.04,3408.59,3409.34 "Run 3",3448.99,3433.63,3438.03 "Run 4",3447.08,3443.45,3444.25 "oneDNN 2.0 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "Run 1",5.74651,5.7568,5.70428 "Run 2",5.76073,5.7684,5.79437 "Run 3",5.79936,5.81847,5.81165 "Run 4",5.7697,5.7857,5.80026 "Coremark 1.0 - CoreMark Size 666 - Iterations Per Second", Higher Results Are Better "Run 1",215491.440201,216489.265741,208387.600938 "Run 2",210846.901722,211727.342234,212320.485978 "Run 3",207253.88601,212307.964497,211540.721589 "Run 4",216909.937186,216596.723975,213732.300294 "Timed FFmpeg Compilation 4.2.2 - Time To Compile", Lower Results Are Better "Run 1",101.242,101.021,101.586 "Run 2",101.504,101.591,102.093 "Run 3",102.693,102.199,101.337 "Run 4",101.62,102.228,102.525 "Build2 0.13 - Time To Compile", Lower Results Are Better "Run 1",213.893,215.078,214.256 "Run 2",215.719,213.993,214.795 "Run 3",213.724,214.592,214.218 "Run 4",214.27,214.959,215.345 "Timed Eigen Compilation 3.3.9 - Time To Compile", Lower Results Are Better "Run 1",74.232,74.174,74.283 "Run 2",75.418,75.378,75.376 "Run 3",75.166,74.905,74.948 "Run 4",74.2,74.321,74.264 "Monkey Audio Encoding 3.99.6 - WAV To APE", Lower Results Are Better "Run 1",11.16,11.129,10.932,11.044,10.992 "Run 2",11.435,11.425,11.568,11.316,11.366 "Run 3",11.018,10.972,10.924,10.996,10.934 "Run 4",11.886,11.678,11.643,11.564,11.351 "Ogg Audio Encoding 1.3.4 - WAV To Ogg", Lower Results Are Better "Run 1",20.215,20.191,20.17 "Run 2",20.158,20.18,20.364 "Run 3",20.145,20.151,20.206 "Run 4",20.169,20.938,20.164 "Opus Codec Encoding 1.3.1 - WAV To Opus Encode", Lower Results Are Better "Run 1",8.574,8.577,8.575,8.567,8.575 "Run 2",8.568,8.567,8.58,8.576,8.58 "Run 3",8.551,8.571,8.566,8.563,8.565 "Run 4",8.569,8.63,8.589,8.581,8.579 "Cryptsetup - PBKDF2-sha512", Higher Results Are Better "Run 1",1829975,1829975,1826787 "Run 2",1747626,1795506,1792437 "Run 3",1836385,1826787,1826787 "Run 4",1836385,1829975,1826787 "Cryptsetup - PBKDF2-whirlpool", Higher Results Are Better "Run 1",783689,780190,777875 "Run 2",762046,759837,759837 "Run 3",783689,781353,780190 "Run 4",784862,782519,727167 "Cryptsetup - AES-XTS 256b Encryption", Higher Results Are Better "Run 1",2353.4,2378.7,2347.3 "Run 2",2358,2343.1,2375.4 "Run 3",2355.5,2371.6,2373.6 "Run 4",2376.9,2346.9,2348.3 "Cryptsetup - AES-XTS 256b Decryption", Higher Results Are Better "Run 1",2298.1,2325.4,2299.3 "Run 2",2312.4,2300.3,2324 "Run 3",2310.9,2312.5,2320.5 "Run 4",2320.7,2319.2,2297.5 "Cryptsetup - Serpent-XTS 256b Encryption", Higher Results Are Better "Run 1",804.8,815.2,812.9 "Run 2",801.2,810.6,810.9 "Run 3",816.4,813.5,814.5 "Run 4",816.3,800.6,811.9 "Cryptsetup - Serpent-XTS 256b Decryption", Higher Results Are Better "Run 1",828.1,829.3,826.5 "Run 2",822.3,820.9,829.9 "Run 3",833.4,829.8,829.2 "Run 4",831.1,810.8,826.7 "Cryptsetup - Twofish-XTS 256b Encryption", Higher Results Are Better "Run 1",432.4,450.6,444.6 "Run 2",430.7,413.4,448.3 "Run 3",451.1,436,448.4 "Run 4",449.5,416.3,434.9 "Cryptsetup - Twofish-XTS 256b Decryption", Higher Results Are Better "Run 1",428,455,444 "Run 2",430.8,441.6,454.5 "Run 3",455.1,433.5,453.4 "Run 4",454.6,434.3,426.6 "Cryptsetup - AES-XTS 512b Encryption", Higher Results Are Better "Run 1",2114.4,2109.1,2090.7 "Run 2",1989.4,2090.3,2114.1 "Run 3",2127.9,1983.7,2117.6 "Run 4",2118.5,2125.5,2101.4 "Cryptsetup - AES-XTS 512b Decryption", Higher Results Are Better "Run 1",2086.1,2086.2,2062.6 "Run 2",2071,2068.7,2083 "Run 3",2079.6,2080.3,2088.7 "Run 4",2085.4,2089.9,2061.5 "Cryptsetup - Serpent-XTS 512b Encryption", Higher Results Are Better "Run 1",816.8,815.5,813 "Run 2",811.3,811.3,815.6 "Run 3",812.8,814.2,814.3 "Run 4",813.1,802.4,812.3 "Cryptsetup - Serpent-XTS 512b Decryption", Higher Results Are Better "Run 1",832.5,831.5,827.3 "Run 2",813.7,827.6,829.3 "Run 3",832.8,829.6,830.3 "Run 4",830.8,816.1,827.5 "Cryptsetup - Twofish-XTS 512b Encryption", Higher Results Are Better "Run 1",448.2,449,441 "Run 2",417.5,412.1,449.5 "Run 3",449.9,438.4,450.4 "Run 4",450.9,416.2,439.2 "Cryptsetup - Twofish-XTS 512b Decryption", Higher Results Are Better "Run 1",449.3,453.2,419 "Run 2",440.5,441.1,455 "Run 3",454.7,436.3,454.1 "Run 4",452.7,433,423.6 "SQLite Speedtest 3.30 - Timed Time - Size 1,000", Lower Results Are Better "Run 1",61.667,62.1,62.446 "Run 2",62.472,62.798,62.804 "Run 3",61.568,61.887,61.66 "Run 4",62.337,62.492,62.346 "NCNN 20201218 - Target: CPU - Model: mobilenet", Lower Results Are Better "Run 1",23.08,23.15,23.29 "Run 2",23.02,23.03,23.09 "Run 3",23.08,23.15,23.15 "Run 4",23.09,23.26,23.36 "NCNN 20201218 - Target: CPU-v2-v2 - Model: mobilenet-v2", Lower Results Are Better "Run 1",5.86,5.84,5.89 "Run 2",5.89,5.9,5.85 "Run 3",5.86,5.8,5.81 "Run 4",5.88,5.81,6.53 "NCNN 20201218 - Target: CPU-v3-v3 - Model: mobilenet-v3", Lower Results Are Better "Run 1",4.76,4.71,4.79 "Run 2",4.73,4.75,4.67 "Run 3",4.85,4.7,4.72 "Run 4",4.71,4.69,5.33 "NCNN 20201218 - Target: CPU - Model: shufflenet-v2", Lower Results Are Better "Run 1",6.47,7.62,7.41 "Run 2",6.47,7.6,7.56 "Run 3",6.48,7.56,7.49 "Run 4",6.47,7.43,7.79 "NCNN 20201218 - Target: CPU - Model: mnasnet", Lower Results Are Better "Run 1",4.71,5.63,5.48 "Run 2",4.67,5.49,5.56 "Run 3",4.64,5.58,5.66 "Run 4",4.66,5.49,5.47 "NCNN 20201218 - Target: CPU - Model: efficientnet-b0", Lower Results Are Better "Run 1",7.64,8.69,8.73 "Run 2",7.66,8.65,8.68 "Run 3",7.68,8.72,8.75 "Run 4",7.64,8.65,8.63 "NCNN 20201218 - Target: CPU - Model: blazeface", Lower Results Are Better "Run 1",2.04,2.36,2.39 "Run 2",2.04,2.36,2.41 "Run 3",2.04,2.36,2.37 "Run 4",2.05,2.38,2.43 "NCNN 20201218 - Target: CPU - Model: googlenet", Lower Results Are Better "Run 1",16.53,18.8,18.87 "Run 2",16.5,18.79,18.77 "Run 3",16.75,18.8,18.83 "Run 4",16.6,18.71,18.71 "NCNN 20201218 - Target: CPU - Model: vgg16", Lower Results Are Better "Run 1",69.39,69.43,69.75 "Run 2",68.89,69.3,69.37 "Run 3",69.43,69.5,69.52 "Run 4",68.08,69.97,69.98 "NCNN 20201218 - Target: CPU - Model: resnet18", Lower Results Are Better "Run 1",16.95,18.52,18.59 "Run 2",16.82,18.46,18.44 "Run 3",17.09,18.5,18.57 "Run 4",16.97,18.45,18.55 "NCNN 20201218 - Target: CPU - Model: alexnet", Lower Results Are Better "Run 1",14.26,15.31,15.47 "Run 2",14.29,15.38,15.3 "Run 3",14.3,15.35,15.36 "Run 4",14.3,15.4,15.38 "NCNN 20201218 - Target: CPU - Model: resnet50", Lower Results Are Better "Run 1",37.42,37.49,37.46 "Run 2",37.43,37.43,37.44 "Run 3",37.55,37.55,37.51 "Run 4",37.48,37.4,37.57 "NCNN 20201218 - Target: CPU - Model: yolov4-tiny", Lower Results Are Better "Run 1",33.14,33.41,33.56 "Run 2",33.08,33.3,33.2 "Run 3",33.17,33.21,33.24 "Run 4",33.17,33.4,33.69 "NCNN 20201218 - Target: CPU - Model: squeezenet_ssd", Lower Results Are Better "Run 1",24.15,24.22,24.28 "Run 2",24.12,24.19,24.17 "Run 3",24.25,24.25,24.23 "Run 4",24.18,24.2,24.3 "NCNN 20201218 - Target: CPU - Model: regnety_400m", Lower Results Are Better "Run 1",15.1,16.72,16.73 "Run 2",15.15,16.59,16.63 "Run 3",15.11,16.69,16.77 "Run 4",15.28,16.62,16.57 "NCNN 20201218 - Target: Vulkan GPU - Model: mobilenet", Lower Results Are Better "Run 1",23.31,23.45,23.53 "Run 2",23.18,23.8,24 "Run 3",23.26,23.38,23.54 "Run 4",23.4,23.5,23.13 "NCNN 20201218 - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2", Lower Results Are Better "Run 1",6.46,6.53,6.66 "Run 2",5.9,5.79,6.62 "Run 3",5.87,6.48,6.54 "Run 4",6.46,6.62,6.59 "NCNN 20201218 - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3", Lower Results Are Better "Run 1",5.34,5.34,5.41 "Run 2",4.77,4.71,5.45 "Run 3",4.69,5.32,5.36 "Run 4",5.32,5.4,5.39 "NCNN 20201218 - Target: Vulkan GPU - Model: shufflenet-v2", Lower Results Are Better "Run 1",7.79,7.8,7.9 "Run 2",6.6,7.57,8 "Run 3",6.52,7.82,7.88 "Run 4",7.72,7.87,7.89 "NCNN 20201218 - Target: Vulkan GPU - Model: mnasnet", Lower Results Are Better "Run 1",5.47,5.45,5.6 "Run 2",4.64,5.46,5.62 "Run 3",5.12,5.46,5.5 "Run 4",5.44,5.51,5.51 "NCNN 20201218 - Target: Vulkan GPU - Model: efficientnet-b0", Lower Results Are Better "Run 1",8.61,8.69,8.76 "Run 2",7.62,8.74,8.82 "Run 3",8.61,8.65,8.7 "Run 4",8.63,8.8,8.72 "NCNN 20201218 - Target: Vulkan GPU - Model: blazeface", Lower Results Are Better "Run 1",2.38,2.39,2.42 "Run 2",2.07,2.39,2.45 "Run 3",2.36,2.39,2.4 "Run 4",2.39,2.42,2.42 "NCNN 20201218 - Target: Vulkan GPU - Model: googlenet", Lower Results Are Better "Run 1",18.68,18.77,18.94 "Run 2",16.54,18.76,19.16 "Run 3",18.79,18.76,18.91 "Run 4",18.75,18.91,18.92 "NCNN 20201218 - Target: Vulkan GPU - Model: vgg16", Lower Results Are Better "Run 1",69.62,69.75,69.98 "Run 2",67.62,70.33,70.34 "Run 3",69.73,69.74,70.12 "Run 4",69.98,70.04,70.05 "NCNN 20201218 - Target: Vulkan GPU - Model: resnet18", Lower Results Are Better "Run 1",18.45,18.61,18.59 "Run 2",16.95,18.61,18.87 "Run 3",18.43,18.51,18.58 "Run 4",18.44,18.62,18.55 "NCNN 20201218 - Target: Vulkan GPU - Model: alexnet", Lower Results Are Better "Run 1",15.4,15.38,15.49 "Run 2",14.33,15.42,15.7 "Run 3",15.39,15.46,15.51 "Run 4",15.41,15.49,15.53 "NCNN 20201218 - Target: Vulkan GPU - Model: resnet50", Lower Results Are Better "Run 1",37.49,37.76,37.87 "Run 2",37.4,38.25,38.28 "Run 3",37.34,37.59,38.04 "Run 4",37.65,37.92,37.61 "NCNN 20201218 - Target: Vulkan GPU - Model: yolov4-tiny", Lower Results Are Better "Run 1",33.39,33.61,33.53 "Run 2",33.2,34.05,34.34 "Run 3",33.32,33.52,33.58 "Run 4",33.56,33.52,33.28 "NCNN 20201218 - Target: Vulkan GPU - Model: squeezenet_ssd", Lower Results Are Better "Run 1",24.24,24.41,24.62 "Run 2",24.59,24.85,24.94 "Run 3",24.18,24.29,24.53 "Run 4",24.44,24.47,24.24 "NCNN 20201218 - Target: Vulkan GPU - Model: regnety_400m", Lower Results Are Better "Run 1",16.53,16.64,16.96 "Run 2",15.1,16.74,16.99 "Run 3",16.46,16.57,16.8 "Run 4",16.61,16.93,16.74 "PHPBench 0.8.1 - PHP Benchmark Suite", Higher Results Are Better "Run 1",684153,710694,716720 "Run 2",718130,725340,729609 "Run 3",717618,722131,727865 "Run 4",747211,745829,742784 "WavPack Audio Encoding 5.3 - WAV To WavPack", Lower Results Are Better "Run 1",14.49,14.513,14.513,14.512,14.514 "Run 2",14.494,14.501,14.503,14.506,14.508 "Run 3",14.486,14.511,14.526,14.497,14.621 "Run 4",14.502,14.513,14.502,14.512,14.521 "Unpacking Firefox 84.0 - Extracting: firefox-84.0.source.tar.xz", Lower Results Are Better "Run 1",19.067,18.815,18.815,18.83 "Run 2",18.938,18.872,18.846,18.834 "Run 3",19.093,18.818,18.974,18.844 "Run 4",18.798,18.853,18.841,18.929 "BRL-CAD 7.30.8 - VGR Performance Metric", Higher Results Are Better "Run 1", "Run 2", "Run 3", "Run 4",