Core i7 10700T Garage, "Stream-Dynamic 1.0 - - Copy", Higher Results Are Better "1",23482.238,23515.821,23483.989 "2",23480.499,23485.728,23579.389 "3",23482.801,23545.636,23567.593 "Stream-Dynamic 1.0 - - Scale", Higher Results Are Better "1",23505.426,23538.449,23502.286 "2",23507.585,23503.782,23551.361 "3",23522.515,23576.957,23612.001 "Stream-Dynamic 1.0 - - Add", Higher Results Are Better "1",26663.78,26818.826,26667.191 "2",26659.813,26662.286,26670.181 "3",26665.107,26665.507,26663.296 "Stream-Dynamic 1.0 - - Triad", Higher Results Are Better "1",26622.054,26778.556,26629.536 "2",26627.112,26629.138,26628.749 "3",26631.867,26631.384,26631.552 "QuantLib 1.21 - ", Higher Results Are Better "1",2025.2,2117.8,2119.7,2107.9 "2",2028,2115.9,2116.5 "3",2029.2,2111.4,2105.5 "Etcpak 0.7 - Configuration: DXT1", Higher Results Are Better "1",1144.492,1148.6,1148.875 "2",1143.565,1144.71,1087.646,1139.655 "3",1148.435,1149.976,1147.996 "Etcpak 0.7 - Configuration: ETC1", Higher Results Are Better "1",284.809,284.839,287.116 "2",286.26,285.032,287.178 "3",285.032,286.212,287.298 "Etcpak 0.7 - Configuration: ETC2", Higher Results Are Better "1",158.494,158.436,158.57 "2",158.485,158.459,158.606 "3",158.301,158.513,158.524 "Etcpak 0.7 - Configuration: ETC1 + Dithering", Higher Results Are Better "1",267.696,267.83,263.884 "2",211.823,267.642,267.693,266.477,268.07,267.729,267.723,267.929,267.759,267.878,267.72,267.723 "3",266.53,267.684,267.726 "High Performance Conjugate Gradient 3.1 - ", Higher Results Are Better "1",4.13703,4.14197,4.13905 "2",4.14767,4.15382,4.15084 "3",4.15176,4.14869,4.15125 "NAS Parallel Benchmarks 3.4 - Test / Class: CG.C", Higher Results Are Better "1",4896.1,4743.38,4763.89 "2",4815.46,4776.83,4775.98 "3",4832.08,4791.41,4786.85 "NAS Parallel Benchmarks 3.4 - Test / Class: EP.C", Higher Results Are Better "1",1074.2,868.7,882,928.9,836.72,840.73,922.6,927.31,867.99,831.87,920.79,923.5,929.58,924.76,838.12 "2",1035.72,932.57,937.36,927,909.99,934.62,920.66,935.08,904.36,932.94,925.01,925.52,873.75,877.24,931.46 "3",1033.9,936.42,890.72,929.26,933.71,937.66,851.71,884.05,934.4,933.89,937.68,936.73,936.14,939.26,933.17 "NAS Parallel Benchmarks 3.4 - Test / Class: EP.D", Higher Results Are Better "1",830.52,823.1,823.95 "2",837.52,827.23,829.28 "3",801.44,794.41,797.47 "NAS Parallel Benchmarks 3.4 - Test / Class: FT.C", Higher Results Are Better "1",11131.77,10913.86,10995.08 "2",11176.75,11084.09,10950.03 "3",11267.56,11072.62,11016.69 "NAS Parallel Benchmarks 3.4 - Test / Class: IS.D", Higher Results Are Better "1",768.18,771.85,783.22 "2",791.41,773.2,774.64 "3",789.27,777.74,774.78 "NAS Parallel Benchmarks 3.4 - Test / Class: LU.C", Higher Results Are Better "1",21678.68,21559.95,21500.23 "2",21755.1,21541.45,21568.02 "3",21757.78,21606.85,21664.35 "NAS Parallel Benchmarks 3.4 - Test / Class: MG.C", Higher Results Are Better "1",10266.73,10145.79,10215.15 "2",10292.79,10250.84,10272.55 "3",10324.9,10248.97,10291.6 "HPC Challenge 1.5.0 - Test / Class: G-HPL", Higher Results Are Better "1",40.8798,41.3653,41.0446 "2",41.088,41.5284,41.3731 "3",41.1128,41.523,41.1005 "HPC Challenge 1.5.0 - Test / Class: G-Ffte", Higher Results Are Better "1",4.17672,4.19889,4.16609 "2",4.20244,4.20585,4.17638 "3",4.17794,4.19211,4.15932 "HPC Challenge 1.5.0 - Test / Class: EP-DGEMM", Higher Results Are Better "1",6.62751,6.67409,6.72663 "2",6.70445,6.705,6.79918 "3",6.71054,6.7823,6.72302 "HPC Challenge 1.5.0 - Test / Class: G-Ptrans", Higher Results Are Better "1",2.39258,2.38446,2.38264 "2",2.39872,2.41057,2.3977 "3",2.39609,2.41088,2.40057 "HPC Challenge 1.5.0 - Test / Class: EP-STREAM Triad", Higher Results Are Better "1",3.13514,3.13418,3.12812 "2",3.12689,3.13445,3.13042 "3",3.1268,3.13501,3.12485 "HPC Challenge 1.5.0 - Test / Class: G-Random Access", Higher Results Are Better "1",0.0305434,0.0289419,0.0284303 "2",0.0296468,0.0294521,0.029247 "3",0.0296326,0.0295155,0.0291225 "HPC Challenge 1.5.0 - Test / Class: Random Ring Latency", Lower Results Are Better "1",0.392206,0.393711,0.39253 "2",0.390295,0.388699,0.3897 "3",0.389285,0.390275,0.378604 "HPC Challenge 1.5.0 - Test / Class: Random Ring Bandwidth", Higher Results Are Better "1",1.81597,1.82312,1.8359 "2",1.79583,1.80838,1.83266 "3",1.84089,1.84333,1.81953 "HPC Challenge 1.5.0 - Test / Class: Max Ping Pong Bandwidth", Higher Results Are Better "1",13025.37,13407.612,13849.073 "2",13734.613,13528.459,13665.169 "3",13482.449,13613.87,13542.933 "toyBrot Fractal Generator 2020-11-18 - Implementation: TBB", Lower Results Are Better "1",70396,72158,72384 "2",68923,72449,71500,71560 "3",69413,72084,73194,72606 "toyBrot Fractal Generator 2020-11-18 - Implementation: OpenMP", Lower Results Are Better "1",71497,73034,72843 "2",70834,72156,72109 "3",71158,72721,72861 "toyBrot Fractal Generator 2020-11-18 - Implementation: C++ Tasks", Lower Results Are Better "1",71256,72496,72621 "2",70806,72410,72162 "3",71564,72491,72621 "toyBrot Fractal Generator 2020-11-18 - Implementation: C++ Threads", Lower Results Are Better "1",71395,72832,72817 "2",70855,72431,72627 "3",71391,72675,72740 "lzbench 1.8 - Test: XZ 0 - Process: Compression", Higher Results Are Better "1", "2", "3", "lzbench 1.8 - Test: XZ 0 - Process: Decompression", Higher Results Are Better "1", "2", "3", "lzbench 1.8 - Test: Zstd 1 - Process: Compression", Higher Results Are Better "1", "2",457,458,458 "3",458,455,457 "lzbench 1.8 - Test: Zstd 1 - Process: Decompression", Higher Results Are Better "1",1567,1568,1568 "2",1568,1567,1564 "3",1568,1567,1566 "lzbench 1.8 - Test: Zstd 8 - Process: Compression", Higher Results Are Better "1", "2", "3", "lzbench 1.8 - Test: Zstd 8 - Process: Decompression", Higher Results Are Better "1", "2",1689,1689,1686 "3",1689,1685,1690 "lzbench 1.8 - Test: Crush 0 - Process: Compression", Higher Results Are Better "1",100,98,98 "2", "3",98,100,100 "lzbench 1.8 - Test: Crush 0 - Process: Decompression", Higher Results Are Better "1", "2", "3", "lzbench 1.8 - Test: Brotli 0 - Process: Compression", Higher Results Are Better "1", "2", "3", "lzbench 1.8 - Test: Brotli 0 - Process: Decompression", Higher Results Are Better "1", "2", "3",576,578,576 "lzbench 1.8 - Test: Brotli 2 - Process: Compression", Higher Results Are Better "1", "2", "3", "lzbench 1.8 - Test: Brotli 2 - Process: Decompression", Higher Results Are Better "1",670,671,671 "2", "3",671,671,669 "lzbench 1.8 - Test: Libdeflate 1 - Process: Compression", Higher Results Are Better "1",217,218,218 "2", "3", "OpenFOAM 8 - Input: Motorbike 30M", Lower Results Are Better "1",250.3,256.25,260.89 "2",249.78,249.72,252.54 "3",249.75,249.44,252.16 "OpenFOAM 8 - Input: Motorbike 60M", Lower Results Are Better "1",1311.11,1315.86,1314.96 "2",1302.64,1313.14,1315.43 "3",1302.36,1314.09,1314.67 "Quantum ESPRESSO 6.7 - Input: AUSURF112", Lower Results Are Better "1",3960,3960,4020 "2", "3",3960,3900,3960 "JPEG XL 0.3.1 - Input: PNG - Encode Speed: 5", Higher Results Are Better "1",55.39,53.54,53.53 "2",55.78,53.93,53.84 "3",55.7,53.98,53.8 "JPEG XL 0.3.1 - Input: PNG - Encode Speed: 7", Higher Results Are Better "1",7.51,7.51,7.51 "2",7.53,7.52,7.52 "3",7.53,7.51,7.51 "JPEG XL 0.3.1 - Input: PNG - Encode Speed: 8", Higher Results Are Better "1",0.68,0.68,0.68 "2",0.68,0.68,0.68 "3",0.68,0.68,0.68 "JPEG XL 0.3.1 - Input: JPEG - Encode Speed: 5", Higher Results Are Better "1",53.74,54.93,53.84 "2",53.79,53.77,53.86 "3",53.92,53.41,54.03 "JPEG XL 0.3.1 - Input: JPEG - Encode Speed: 7", Higher Results Are Better "1",53.48,53.69,52.23 "2",53.69,53.77,53.63 "3",53.69,53.85,53.56 "JPEG XL 0.3.1 - Input: JPEG - Encode Speed: 8", Higher Results Are Better "1",23.26,23.26,23.28 "2",23.24,23.32,23.26 "3",23.27,23.35,23.28 "JPEG XL Decoding 0.3.1 - CPU Threads: 1", Higher Results Are Better "1",36.23,36.23,36.19 "2",36.21,36.28,36.35 "3",36.31,36.35,36.33 "JPEG XL Decoding 0.3.1 - CPU Threads: All", Higher Results Are Better "1",159.86,154.18,153.84 "2",161.02,154.36,154.75 "3",160.41,154.55,155.04 "Ngspice 34 - Circuit: C2670", Lower Results Are Better "1",138.081,138.864,138.743 "2",138.487,138.677,138.183 "3",138.614,138.241,138.24 "Ngspice 34 - Circuit: C7552", Lower Results Are Better "1",115.063,115.074,115.01 "2",114.699,115.653,114.561 "3",114.398,114.68,114.551 "Google SynthMark 20201109 - Test: VoiceMark_100", Higher Results Are Better "1",587.271,586.489,587.576 "2",587.202,590.431,590.533 "3",589.757,586.46,590.664 "Cpuminer-Opt 3.15.5 - Algorithm: Magi", Higher Results Are Better "1",140.35,139.85,141.79 "2",141.29,140.06,141.5 "3",137.6,140.82,138.25 "Cpuminer-Opt 3.15.5 - Algorithm: x25x", Higher Results Are Better "1",157.51,160.05,159.5 "2",160.49,157.84,157.65 "3",158.31,159.65,159.04 "Cpuminer-Opt 3.15.5 - Algorithm: Deepcoin", Higher Results Are Better "1",7646.08,7585.92,7579.36 "2",7555.96,7557.63,7547.96 "3",7500.95,7564.01,8342.97,7549.01,7581.55,7518.73,7642.7,7583.34,7486.8,7882.19,7565.31,7508.55,7758.47,7557.63 "Cpuminer-Opt 3.15.5 - Algorithm: Ringcoin", Higher Results Are Better "1",1033.59,999.19,1006.29 "2",1021.99,1008,1007.59 "3",962.44,1008.34,1005.25,976.35 "Cpuminer-Opt 3.15.5 - Algorithm: Blake-2 S", Higher Results Are Better "1",412270,399500,446570,428020,426720,444970,425930,447060,406530,428110,420200,427800,429690,441660,442060 "2",437070,431750,425110 "3",402220,421460,448090,403300,411840,394410,417660,380670,417910,458120,434170,444520,452500,420740,443500 "Cpuminer-Opt 3.15.5 - Algorithm: Garlicoin", Higher Results Are Better "1",1219.97,1226.33,1873.13,1171.59,1215.87,1222.72,1215.45,1223.83,1219.94,1202.49,1216.74,1216.29,1185.63,1212.81,1227.29 "2",1224.41,1224.3,1170.26,1162.27,1284.27,1235.1,1213.5,1224.48,1178.06,1226.99,1220.04,1174.04,1219.7,1203.55,1216.45 "3",1227.08,1184.73,1233.61 "Cpuminer-Opt 3.15.5 - Algorithm: Skeincoin", Higher Results Are Better "1",33270,33490,33440 "2",33270,33410,33460 "3",38450,33330,10460,33100,33620,33590,33660,33410,49000,33450,32860,33310 "Cpuminer-Opt 3.15.5 - Algorithm: Myriad-Groestl", Higher Results Are Better "1",10880,10760,10880 "2",11010,10820,10690 "3",10810,10790,10940 "Cpuminer-Opt 3.15.5 - Algorithm: LBC, LBRY Credits", Higher Results Are Better "1",23540,23440,23530 "2",23440,23610,23570 "3",23560,29810,23540,23600,23600,23600,23570,31070,23530,23430,24060,23990,23590,23490,23510 "Cpuminer-Opt 3.15.5 - Algorithm: Quad SHA-256, Pyrite", Higher Results Are Better "1",47740,47200,46910 "2",46550,46980,46890 "3",66620,47050,47460,46660,47020,46860,46390,46540,46630,47300,47390,47500,46580,46710,48190 "Cpuminer-Opt 3.15.5 - Algorithm: Triple SHA-256, Onecoin", Higher Results Are Better "1",63370,64400,63370 "2",64630,105570,63330,63400,64310,87250,87190,64970,62420,66730,62020,63910,62740,64990,64010 "3",64180,62730,62360 "ASKAP 1.0 - Test: tConvolve MT - Gridding", Higher Results Are Better "1",1200.03,1197.67,1198 "2",1198.34,1198,1199.01 "3",1198.68,1198.68,1198 "ASKAP 1.0 - Test: tConvolve MT - Degridding", Higher Results Are Better "1",1775.04,1778,1776.52 "2",1774.3,1775.04,1779.49 "3",1778,1775.78,1777.26 "ASKAP 1.0 - Test: tConvolve MPI - Degridding", Higher Results Are Better "1",1785,1772.94,1772.94 "2",1772.94,1797.23,1772.94 "3",1772.94,1761.04,1785 "ASKAP 1.0 - Test: tConvolve MPI - Gridding", Higher Results Are Better "1",1929.38,1929.38,1929.38 "2",1929.38,1943.67,1958.18 "3",1943.67,1915.3,1943.67 "ASKAP 1.0 - Test: tConvolve OpenMP - Gridding", Higher Results Are Better "1",1358.45,1365.42,1358.45 "2",1337.97,1344.73,1344.73 "3",1358.45,1358.45,1365.42 "ASKAP 1.0 - Test: tConvolve OpenMP - Degridding", Higher Results Are Better "1",2113.14,2130.05,2113.14 "2",2113.14,2130.05,2130.05 "3",2113.14,2130.05,2130.05 "ASKAP 1.0 - Test: Hogbom Clean OpenMP", Higher Results Are Better "1",194.175,193.798,194.553 "2",194.175,194.553,194.553 "3",194.553,194.553,193.424 "TensorFlow Lite 2020-08-23 - Model: SqueezeNet", Lower Results Are Better "1",339963,351997,351971 "2",339646,351806,351279 "3",339757,351728,351928 "TensorFlow Lite 2020-08-23 - Model: Inception V4", Lower Results Are Better "1",5095180,5183690,5143660 "2",5079580,5110040,5132800 "3",5100550,5137610,5133970 "TensorFlow Lite 2020-08-23 - Model: NASNet Mobile", Lower Results Are Better "1",293001,299489,295521 "2",289440,297428,296099 "3",291477,301051,302954 "TensorFlow Lite 2020-08-23 - Model: Mobilenet Float", Lower Results Are Better "1",230001,235714,236153 "2",230858,235410,235426 "3",231757,236542,236405 "TensorFlow Lite 2020-08-23 - Model: Mobilenet Quant", Lower Results Are Better "1",229461,234740,235059 "2",229447,234552,234192 "3",229755,235087,235309 "TensorFlow Lite 2020-08-23 - Model: Inception ResNet V2", Lower Results Are Better "1",4588880,4632390,4629240 "2",4583930,4620810,4617760 "3",4584330,4614000,4623180 "Mobile Neural Network 1.1.1 - Model: SqueezeNetV1.0", Lower Results Are Better "1",8.329,8.43,8.419 "2",8.313,8.257,8.295 "3",8.373,8.273,8.339 "Mobile Neural Network 1.1.1 - Model: resnet-v2-50", Lower Results Are Better "1",44.877,44.784,44.604 "2",44.837,44.566,44.661 "3",44.336,44.594,44.487 "Mobile Neural Network 1.1.1 - Model: MobileNetV2_224", Lower Results Are Better "1",3.813,4.477,4.511 "2",3.912,4.444,4.432 "3",3.781,4.47,4.509 "Mobile Neural Network 1.1.1 - Model: mobilenet-v1-1.0", Lower Results Are Better "1",2.685,3.023,3.001 "2",2.666,3.004,2.95 "3",2.672,2.949,3.002 "Mobile Neural Network 1.1.1 - Model: inception-v3", Lower Results Are Better "1",52.842,52.034,52.253 "2",51.226,51.668,51.333 "3",51.466,51.925,51.522 "NCNN 20201218 - Target: CPU - Model: mobilenet", Lower Results Are Better "1",25.48,25.57,25.41 "2",25.2,25.41,25.32 "3",25.6,25.65,25.44 "NCNN 20201218 - Target: CPU-v2-v2 - Model: mobilenet-v2", Lower Results Are Better "1",6.21,6.2,6.21 "2",6.09,6.24,6.24 "3",6.08,6.18,6.2 "NCNN 20201218 - Target: CPU-v3-v3 - Model: mobilenet-v3", Lower Results Are Better "1",5.05,5.82,5.81 "2",4.94,5.8,5.8 "3",4.93,5.84,5.93 "NCNN 20201218 - Target: CPU - Model: shufflenet-v2", Lower Results Are Better "1",6.07,8.03,7.97 "2",6.04,7.91,7.93 "3",6.05,8.01,8.05 "NCNN 20201218 - Target: CPU - Model: mnasnet", Lower Results Are Better "1",4.99,6.22 "2",4.92,6.37,6.3 "3",4.9,6.19,6.25 "NCNN 20201218 - Target: CPU - Model: efficientnet-b0", Lower Results Are Better "1",9.01,9.65,9.54 "2",7.68,9.53,9.67 "3",7.69,9.47,9.44 "NCNN 20201218 - Target: CPU - Model: blazeface", Lower Results Are Better "1",2.59,2.59,2.57 "2",2.06,2.58,2.59 "3",2.11,2.61,2.58 "NCNN 20201218 - Target: CPU - Model: googlenet", Lower Results Are Better "1",19.17,19.34,19.16 "2",16.87,18.86,18.88 "3",16.71,19.09,19.21 "NCNN 20201218 - Target: CPU - Model: vgg16", Lower Results Are Better "1",66.42,66.4,66.38 "2",66.34,66.21,66.36 "3",66.86,66.46,66.39 "NCNN 20201218 - Target: CPU - Model: resnet18", Lower Results Are Better "1",17.87,17.89,17.92 "2",17.74,17.75,17.78 "3",17.91,17.85,17.87 "NCNN 20201218 - Target: CPU - Model: alexnet", Lower Results Are Better "1",15.02,15.03,15.03 "2",14.96,14.94,14.96 "3",14.98,14.97,15.01 "NCNN 20201218 - Target: CPU - Model: resnet50", Lower Results Are Better "1",35.64,35.66,35.8 "2",35.39,35.61,35.42 "3",36.94,35.75,35.78 "NCNN 20201218 - Target: CPU - Model: yolov4-tiny", Lower Results Are Better "1",33.93,33.86,33.99 "2",33.75,33.91,33.92 "3",35.03,34.09,33.99 "NCNN 20201218 - Target: CPU - Model: squeezenet_ssd", Lower Results Are Better "1",26.53,26.8,26.57 "2",26.2,26.58,26.47 "3",26.71,26.51,26.59 "NCNN 20201218 - Target: CPU - Model: regnety_400m", Lower Results Are Better "1",18.48,18.45,18.15 "2",15.53,18.48,18.5 "3",15.82,18.44,18.5 "TNN 0.2.3 - Target: CPU - Model: MobileNet v2", Lower Results Are Better "1",367.094,368.023,366.134 "2",366.895,366.85,366.667 "3",365.84,365.745,365.584 "TNN 0.2.3 - Target: CPU - Model: SqueezeNet v1.1", Lower Results Are Better "1",359.747,359.41,359.481 "2",359.439,359.262,359.629 "3",359.273,359.424,359.338 "ONNX Runtime 1.6 - Model: yolov4 - Device: OpenMP CPU", Higher Results Are Better "1",277,271,270.5 "2",276,271,271 "3",276,269,269.5 "ONNX Runtime 1.6 - Model: bertsquad-10 - Device: OpenMP CPU", Higher Results Are Better "1",390.5,386,387 "2",393.5,388,389 "3",388,385.5,384 "ONNX Runtime 1.6 - Model: fcn-resnet101-11 - Device: OpenMP CPU", Higher Results Are Better "1",43,42.5,42.5 "2",43.5,42.5,43 "3",43,42.5,42 "ONNX Runtime 1.6 - Model: shufflenet-v2-10 - Device: OpenMP CPU", Higher Results Are Better "1",12609.5,12455.5,12490.5 "2",12645,12479.5,12465.5 "3",12388.5,12279,12339.5 "ONNX Runtime 1.6 - Model: super-resolution-10 - Device: OpenMP CPU", Higher Results Are Better "1",2900,2874.5,2906.5 "2",2903.5,2909.5,2895.5 "3",2876.5,2881,2895.5