Haswell 2021

Intel Xeon E5-2687W v3 testing with a MSI X99S SLI PLUS (MS-7885) v1.0 (1.E0 BIOS) and NVIDIA GeForce GTX 770 on Ubuntu 20.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2101287-HA-HASWELL2015
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Audio Encoding 2 Tests
AV1 2 Tests
C++ Boost Tests 3 Tests
Timed Code Compilation 3 Tests
C/C++ Compiler Tests 3 Tests
CPU Massive 10 Tests
Creator Workloads 9 Tests
Cryptography 4 Tests
Encoding 4 Tests
Finance 2 Tests
Fortran Tests 3 Tests
Game Development 2 Tests
HPC - High Performance Computing 15 Tests
Machine Learning 5 Tests
Molecular Dynamics 5 Tests
MPI Benchmarks 4 Tests
Multi-Core 10 Tests
NVIDIA GPU Compute 2 Tests
OpenMPI Tests 9 Tests
Programmer / Developer System Benchmarks 5 Tests
Python Tests 2 Tests
Scientific Computing 8 Tests
Server CPU Tests 6 Tests
Single-Threaded 3 Tests
Video Encoding 2 Tests

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January 26 2021
  8 Hours, 35 Minutes
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January 27 2021
  9 Hours, 32 Minutes
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January 27 2021
  8 Hours, 55 Minutes
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Haswell 2021, "CLOMP 1.2 - Static OMP Speedup", Higher Results Are Better "1",12.9,13.3,13.3 "2",1.1,1,13.1,13.1,13.1,13,13.1,13,12.9,12.9,13.1,13.1 "3",13.2,13,12.9 "Cryptsetup - PBKDF2-sha512", Higher Results Are Better "1", "2",1328993,1330680,1330680 "3", "Cryptsetup - PBKDF2-whirlpool", Higher Results Are Better "1",525338,531732,533355 "2",533355,533355,531732 "3",533355,533355,531193 "Cryptsetup - AES-XTS 256b Encryption", Higher Results Are Better "1",1689,1706.1,1711.7 "2",1714,1710.4,1701.2 "3",1709.8,1715.2,1718.1 "Cryptsetup - AES-XTS 256b Decryption", Higher Results Are Better "1",1680.7,1703.6,1707.2 "2",1703.5,1705.3,1699.1 "3",1708,1709.3,1714.4 "Cryptsetup - Serpent-XTS 256b Encryption", Higher Results Are Better "1",544.1,550.7,552.1 "2",551.6,552,547.3 "3",551.3,551.5,551.3 "Cryptsetup - Serpent-XTS 256b Decryption", Higher Results Are Better "1",533.1,531.5,534.2 "2",529.9,533.8,530.8 "3",531.9,533.9,534.6 "Cryptsetup - Twofish-XTS 256b Encryption", Higher Results Are Better "1",341.5,345.9,345.7 "2",345,346.1,345.2 "3",346.3,346.1,346.1 "Cryptsetup - Twofish-XTS 256b Decryption", Higher Results Are Better "1",346.3,347.1,346.9 "2",346.3,347,344 "3",346.9,346.7,347.2 "Cryptsetup - AES-XTS 512b Encryption", Higher Results Are Better "1",1397.9,1400.8,1401.9 "2",1407.2,1402.4,1395.4 "3",1403,1404.2,1405.5 "Cryptsetup - AES-XTS 512b Decryption", Higher Results Are Better "1",1386,1390.5,1392.3 "2",1397,1392,1389.9 "3",1393.3,1391.1,1398.4 "Cryptsetup - Serpent-XTS 512b Encryption", Higher Results Are Better "1",551.3,550.1 "2",551.8,551.8,550.1 "3",551.2,551.7,552.1 "Cryptsetup - Serpent-XTS 512b Decryption", Higher Results Are Better "1", "2",534.1,533.4,532.3 "3",531.8,533.1,532.8 "Cryptsetup - Twofish-XTS 512b Encryption", Higher Results Are Better "1", "2",345.9,345.9,345.4 "3",345.4,345.7,345.7 "Cryptsetup - Twofish-XTS 512b Decryption", Higher Results Are Better "1",345.9,346.7,346.6 "2",347.1,346.8,346.4 "3",346.6,346.9,343.7 "lzbench 1.8 - Test: XZ 0 - Process: Compression", Higher Results Are Better "1",33,34,34 "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",402,400,401 "2", "3",401,401,398 "lzbench 1.8 - Test: Zstd 1 - Process: Decompression", Higher Results Are Better "1",1386,1391,1393 "2",1383,1391,1393 "3",1391,1384,1382 "lzbench 1.8 - Test: Zstd 8 - Process: Compression", Higher Results Are Better "1",66,65,64 "2", "3", "lzbench 1.8 - Test: Zstd 8 - Process: Decompression", Higher Results Are Better "1",1430,1416,1424 "2",1425,1415,1398 "3",1355,1410,1424 "lzbench 1.8 - Test: Crush 0 - Process: Compression", Higher Results Are Better "1", "2", "3", "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",355,356,356 "2",357,356,356 "3", "lzbench 1.8 - Test: Brotli 0 - Process: Decompression", Higher Results Are Better "1",497,506,506 "2", "3",506,506,504 "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",586,587,571 "2",586,585,585 "3",584,577,586 "lzbench 1.8 - Test: Libdeflate 1 - Process: Compression", Higher Results Are Better "1", "2", "3", "lzbench 1.8 - Test: Libdeflate 1 - Process: Decompression", Higher Results Are Better "1", "2",995,994,994 "3", "Opus Codec Encoding 1.3.1 - WAV To Opus Encode", Lower Results Are Better "1",10.619,10.71,10.747,10.734,10.621 "2",10.483,10.604,10.586,10.675,10.735 "3",10.811,10.677,10.854,10.802,10.838 "WavPack Audio Encoding 5.3 - WAV To WavPack", Lower Results Are Better "1",17.767,17.299,17.295,17.319,17.294 "2",17.295,17.418,17.296,17.294,17.309 "3",17.445,17.297,17.3,17.293,17.295 "Etcpak 0.7 - Configuration: DXT1", Higher Results Are Better "1",1089.275,1081.081,1081.227 "2",1081.032,1080.789,1079.816 "3",1081.178,1083.473,1088.337 "Etcpak 0.7 - Configuration: ETC1", Higher Results Are Better "1",233.987,236.56,236.072 "2",234.875,236.507,236.523 "3",236.423,236.549,236.39 "Etcpak 0.7 - Configuration: ETC2", Higher Results Are Better "1",140.758,140.677,140.757 "2",140.657,139.551,140.736 "3",140.724,139.155,140.752 "Etcpak 0.7 - Configuration: ETC1 + Dithering", Higher Results Are Better "1",227.176,227.135,225.944 "2",227.191,227.111,227.105 "3",226.95,227.116,227.103 "WebP2 Image Encode 20210126 - Encode Settings: Default", Lower Results Are Better "1",5.605,5.702,5.725 "2",5.673,5.629,5.689 "3",5.67,5.793,5.806 "WebP2 Image Encode 20210126 - Encode Settings: Quality 75, Compression Effort 7", Lower Results Are Better "1",298.205,299.391,299.159 "2",298.568,297.921,298.269 "3",298.134,299.577,297.91 "WebP2 Image Encode 20210126 - Encode Settings: Quality 95, Compression Effort 7", Lower Results Are Better "1",547.789,546.783,543.297 "2",546.449,544.836,545.703 "3",542.759,545.821,545.406 "WebP2 Image Encode 20210126 - Encode Settings: Quality 100, Compression Effort 5", Lower Results Are Better "1",14.483,14.446,14.518 "2",14.457,14.524,14.452 "3",14.437,14.53,14.457 "WebP2 Image Encode 20210126 - Encode Settings: Quality 100, Lossless Compression", Lower Results Are Better "1",939.686,940.14,939.454 "2",939.896,938.091,938.761 "3",940.337,940.191,940.164 "Google SynthMark 20201109 - Test: VoiceMark_100", Higher Results Are Better "1",549.572,552.422,551.55 "2",549.667,549.489,551.269 "3",551.226,548.47,550.108 "Gcrypt Library 1.9 - ", Lower Results Are Better "1",272.073,273.673,274.906 "2",272.022,272.143,273.068 "3",273.292,273.546,272.2 "QuantLib 1.21 - ", Higher Results Are Better "1",1694.9,1682.3,1691.6 "2",1694.3,1693.6,1686.7 "3",1683,1691.6,1700.1 "CloverLeaf - Lagrangian-Eulerian Hydrodynamics", Lower Results Are Better "1",136.63658809662,136.70134997368,137.33518695831 "2",140.77265787125,141.50991916656,139.64203906059 "3",140.11344003677,141.21918916702,140.39191603661 "Mobile Neural Network 1.1.1 - Model: SqueezeNetV1.0", Lower Results Are Better "1",8.428,8.466,8.447 "2",8.416,8.404,8.496 "3",8.4,8.465,8.406 "Mobile Neural Network 1.1.1 - Model: resnet-v2-50", Lower Results Are Better "1",54.478,54.643,54.411 "2",53.9,54.083,53.914 "3",54.325,53.981,54.065 "Mobile Neural Network 1.1.1 - Model: MobileNetV2_224", Lower Results Are Better "1",5.028,5.074,5.08 "2",5.158,5.151,5.13 "3",5.169,5.04,5.092 "Mobile Neural Network 1.1.1 - Model: mobilenet-v1-1.0", Lower Results Are Better "1",6.185,6.198,6.206 "2",6.105,6.125,6.105 "3",6.161,6.116,6.175 "Mobile Neural Network 1.1.1 - Model: inception-v3", Lower Results Are Better "1",55.494,56.11,55.991 "2",56.315,55.595,55.841 "3",55.882,56.436,55.561 "ONNX Runtime 1.6 - Model: yolov4 - Device: OpenMP CPU", Higher Results Are Better "1",326,328,329.5 "2",328,326.5,328.5 "3",327.5,328,326.5 "ONNX Runtime 1.6 - Model: bertsquad-10 - Device: OpenMP CPU", Higher Results Are Better "1",543.5,545,546.5 "2",540.5,544,539.5 "3",543.5,541,541 "ONNX Runtime 1.6 - Model: fcn-resnet101-11 - Device: OpenMP CPU", Higher Results Are Better "1",58.5,58.5,58.5 "2",59,58.5,59 "3", "ONNX Runtime 1.6 - Model: shufflenet-v2-10 - Device: OpenMP CPU", Higher Results Are Better "1",9720,9734.5,9754 "2",9747.5,9773.5,9803 "3",9773.5,9675.5,9736.5 "ONNX Runtime 1.6 - Model: super-resolution-10 - Device: OpenMP CPU", Higher Results Are Better "1",4025.5,3992,4004 "2",4011,4017,3997 "3",3998,4021,3995.5 "TNN 0.2.3 - Target: CPU - Model: MobileNet v2", Lower Results Are Better "1",340.168,340.607,336.86 "2",337.07,337.546,337.916 "3",338.398,340.448,337.376 "TNN 0.2.3 - Target: CPU - Model: SqueezeNet v1.1", Lower Results Are Better "1",329.298,329.508,330.357 "2",328.335,328.675,328.866 "3",329.006,326.984,327.487 "NCNN 20201218 - Target: CPU - Model: mobilenet", Lower Results Are Better "1",20.04,20,20.06 "2",20.16,20.47,20 "3",20.08,20.04,20.06 "NCNN 20201218 - Target: CPU-v2-v2 - Model: mobilenet-v2", Lower Results Are Better "1",6.2,6.24,6.23 "2",6.19,6.24,6.23 "3",6.19,6.24,6.51 "NCNN 20201218 - Target: CPU-v3-v3 - Model: mobilenet-v3", Lower Results Are Better "1",5.34,5.39,5.51 "2",5.37,5.43,5.42 "3",5.41,5.37,5.5 "NCNN 20201218 - Target: CPU - Model: shufflenet-v2", Lower Results Are Better "1",7.03,7.05,7.06 "2",7,7.17,7.03 "3",6.99,6.98,7.12 "NCNN 20201218 - Target: CPU - Model: mnasnet", Lower Results Are Better "1",5.52,5.5,5.53 "2",5.56,5.54,5.56 "3",5.51,5.48,5.69 "NCNN 20201218 - Target: CPU - Model: efficientnet-b0", Lower Results Are Better "1",8.24,8.29,8.3 "2",8.27,8.3,8.33 "3",8.34,8.34,8.32 "NCNN 20201218 - Target: CPU - Model: blazeface", Lower Results Are Better "1",2.77,2.75,2.75 "2",2.71,2.82,2.83 "3",2.74,2.72,2.79 "NCNN 20201218 - Target: CPU - Model: googlenet", Lower Results Are Better "1",16.47,16.88,16.45 "2",16.43,17.03,17.05 "3",17.56,16.66,16.63 "NCNN 20201218 - Target: CPU - Model: vgg16", Lower Results Are Better "1",51.72,51.58,52.03 "2",51.89,52.12,51.89 "3",51.97,51.76,51.83 "NCNN 20201218 - Target: CPU - Model: resnet18", Lower Results Are Better "1",15.11,15.25,15.23 "2",15.56,15.27,15.78 "3",15.13,15.3,15.14 "NCNN 20201218 - Target: CPU - Model: alexnet", Lower Results Are Better "1",12.09,12.1,12.05 "2",12.09,12.08,12.19 "3",12.12,12.12,12.1 "NCNN 20201218 - Target: CPU - Model: resnet50", Lower Results Are Better "1",28.83,29.55,28.8 "2",28.66,28.91,29.01 "3",29.15,29.25,28.93 "NCNN 20201218 - Target: CPU - Model: yolov4-tiny", Lower Results Are Better "1",31.75,30.74,31.8 "2",32.83,32.23,30.82 "3",32.13,32.75,33.3 "NCNN 20201218 - Target: CPU - Model: squeezenet_ssd", Lower Results Are Better "1",26.63,26.5,26.52 "2",26.52,26.59,26.59 "3",26.54,26.66,26.56 "NCNN 20201218 - Target: CPU - Model: regnety_400m", Lower Results Are Better "1",24.06,24.14,24.05 "2",23.68,24.08,24.03 "3",23.64,23.77,23.83 "LAMMPS Molecular Dynamics Simulator 29Oct2020 - Model: Rhodopsin Protein", Higher Results Are Better "1",3.901,3.755,4.729,4.202,5.349,4.609,3.98,4.32,3.887,5.221,4.523,4.53,3.75,4.867,4.598 "2",4.291,4.26,4.231 "3",3.986,4.881,4.307,3.977,5.1,5.098,5.098,4.162,4.639,4.733,4.554,4.135,3.549,4.517,4.205 "NAS Parallel Benchmarks 3.4 - Test / Class: EP.C", Higher Results Are Better "1",1076.86,1020.07,1053.57 "2",971.67,1027.14,1060.28,992.8,947.15,956.9,1035.22,960.94,1049.66,998.43,994.73,973.14,1065.22,1050.11,946.77 "3",1039.72,1047.35,1055.93 "NAS Parallel Benchmarks 3.4 - Test / Class: EP.D", Higher Results Are Better "1",1059.83,1018.35,994,1039.35 "2",934.42,1033.03,967.57,1016.9,1037.42,1030.38,1024.64,984.84,1014.51,1013.2,1016.81,1033.17 "3",1052.39,994.34,1011.39 "oneDNN 2.0 - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",4.07441,4.06252,4.08735 "2",4.06018,4.11158,4.05176 "3",4.0393,4.13245,4.06765 "oneDNN 2.0 - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",7.39343,7.39378,7.46352 "2",7.39142,7.38864,7.39075 "3",7.38992,7.39531,7.50713 "oneDNN 2.0 - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",2.83275,2.82435,2.83511 "2",2.83495,2.83901,2.84188 "3",2.82226,2.83952,2.8394 "oneDNN 2.0 - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",2.48237,2.50315,2.4843 "2",2.48145,2.47738,2.47907 "3",2.48197,2.48051,2.48128 "oneDNN 2.0 - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",13.7833,13.7978,13.7751 "2",13.7964,13.8002,13.7989 "3",13.7855,13.7835,13.7722 "oneDNN 2.0 - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",5.79819,5.74678,5.75111 "2",5.77448,5.78097,5.77923 "3",5.75024,5.7731,5.78335 "oneDNN 2.0 - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",8.39772,8.38595,8.39607 "2",8.40252,8.38834,8.41287 "3",8.38438,8.3848,8.37759 "oneDNN 2.0 - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",12.7057,12.7057,12.711 "2",12.6898,12.6973,12.6943 "3",12.7052,12.7471,12.7055 "oneDNN 2.0 - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",6.40957,6.76471,6.75356,6.71259 "2",6.37814,6.35975,6.73699,6.75477,6.39061,6.49596 "3",6.73021,6.49748,6.82464 "oneDNN 2.0 - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",5.07675,5.07318,5.07698 "2",5.07503,5.07598,5.08042 "3",5.07274,5.06881,5.0686 "oneDNN 2.0 - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",4059.72,4040.26,4046.87 "2",4042.55,4044.84,4064.23 "3",4045.62,4046.29,4062.34 "oneDNN 2.0 - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",2213.09,2206.43,2208.64 "2",2223.49,2209.5,2210.32 "3",2210.6,2217.66,2237.52 "oneDNN 2.0 - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",4040.74,4048.94,4047.69 "2",4040.84,4045.33,4046.28 "3",4042.25,4044.9,4034.69 "oneDNN 2.0 - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",2209.12,2207.04,2208.6 "2",2210.87,2215.1,2209.14 "3",2209.7,2240.61,2213.08 "oneDNN 2.0 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",3.3605,3.39127,3.35372 "2",3.35878,3.36047,3.35917 "3",3.3597,3.35757,3.38923 "oneDNN 2.0 - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "1",4049.57,4055.73,4050.67 "2",4042.79,4039.24,4039.74 "3",4049.88,4057.59,4036.86 "oneDNN 2.0 - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "1",2204.26,2207.18,2223.25 "2",2210.48,2210.93,2212.55 "3",2213.72,2206.81,2211.3 "oneDNN 2.0 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",3.02085,2.99632,2.99451 "2",3.00353,2.95411,3.01477 "3",2.9918,2.99932,2.9911 "ASKAP 1.0 - Test: tConvolve MT - Gridding", Higher Results Are Better "1",1284.4,1285.64,1285.02 "2",1284.09,1285.02,1285.02 "3",1279.77,1281.31,1281.62 "ASKAP 1.0 - Test: tConvolve MT - Degridding", Higher Results Are Better "1",1755.15,1758.05,1756.89 "2",1752.84,1755.15,1752.84 "3",1744.23,1747.66,1745.94 "ASKAP 1.0 - Test: tConvolve MPI - Degridding", Higher Results Are Better "1",1708.3,1726.29,1664.95 "2",1451.3,1607.82,1525.56,1547.14,1699.45,1753.98,1648.21,1426.06,1782.58,1623.74,1592.21,1607.82,1576.9,1395.72,1607.82 "3",1631.81,1554.48,1673.44,1457.75,1569.35,1682.02,1664.95,1490.88,1584.51,1490.88,1812.12,1561.88 "ASKAP 1.0 - Test: tConvolve MPI - Gridding", Higher Results Are Better "1",1940.8,2129.83,2143.76 "2",1999.97,1753.98,2216.18,1832.37,1631.81,2172.15,2075.91,1952.35,2012.24,1863.61,1822.19,2246.54,2037.23,2024.66,2129.83 "3",1940.8,1929.38,1699.45,2129.83,1853.08,1895.92,1753.98,2037.23,1975.87,2129.83,2201.31,2201.31 "ASKAP 1.0 - Test: tConvolve OpenMP - Gridding", Higher Results Are Better "1",1957.76,1643.56,1664.1,1664.1,1643.56,1674.57,1972.27,1972.27,1972.27,1957.76,1643.56,1633.47,1901.83,1695.9,1674.57 "2",1786.95,1929.39,1957.76,1986.99,1957.76,1972.27,1664.1,1685.16,1957.76,1972.27,1957.76,1972.27,1775.04,1695.9,1957.76 "3",1986.99,1943.47,1957.76 "ASKAP 1.0 - Test: tConvolve OpenMP - Degridding", Higher Results Are Better "1",2662.56,2689.45,2662.56,2662.56,2662.56,2662.56,2662.56,2662.56,2662.56,2662.56,2662.56,2662.56,2662.56,2662.56,2662.56 "2",2716.9,2716.9,2716.9,2716.9,2716.9,2716.9,2716.9,2716.9,2716.9,2716.9,2716.9,2716.9,2716.9,2716.9,2716.9 "3",2716.9,2716.9,2716.9 "ASKAP 1.0 - Test: Hogbom Clean OpenMP", Higher Results Are Better "1",239.808,239.234,238.663 "2",239.234,239.808,239.234 "3",239.808,239.808,239.234 "Algebraic Multi-Grid Benchmark 1.2 - ", Higher Results Are Better "1",297253600,305290200,306129600 "2",297934400,306876900,306025800 "3",303233600,306504600,305662700 "Kripke 1.2.4 - ", Higher Results Are Better "1",46232240,45711850,46369170 "2",46533420,46873510,46182630 "3",47208910,46608990,46703380 "LULESH 2.0.3 - ", Higher Results Are Better "1",4579.2722,4691.4115,4692.7155 "2",4522.925,4700.3017,4710.1537 "3",4500.1978,4685.7451,4678.9485 "OpenFOAM 8 - Input: Motorbike 30M", Lower Results Are Better "1",218.14,219,220.02 "2",218.32,218.69,220.3 "3",220.12,221,217.59 "QMCPACK 3.10 - Input: simple-H2O", Lower Results Are Better "1",52.747,49.972,50.002,52.686,50.359 "2",54.165,51.515,49.81,52.034,51.989 "3",50.462,52.364,52.913 "CP2K Molecular Dynamics 8.1 - Fayalite-FIST Data", Lower Results Are Better "1", "2", "3", "perf-bench - Benchmark: Sched Pipe", Higher Results Are Better "1",74374,73261,73630 "2",71790,76774,74487,71814,73612 "3",74646,73248,75397 "Cpuminer-Opt 3.15.5 - Algorithm: Magi", Higher Results Are Better "1",204.07,203.75,204.13 "2",204.41,203.86,204.28 "3",235.96,204.35,204.35,204.01,203.67,204.01,202.87,203.57,203.59,204.37,204.16,204.31,204.41,203.74 "Cpuminer-Opt 3.15.5 - Algorithm: x25x", Higher Results Are Better "1",217.1,220.81,220.82 "2",220.67,220.86,220.66 "3",220.86,220.93,220.68 "Cpuminer-Opt 3.15.5 - Algorithm: Deepcoin", Higher Results Are Better "1",9313.84,7286.37,7454.19,7566.41,7379.72,7319.62,7326.81,7328.98,7448.5,7367.16,7325.37,7481.46,7205.62,7317.48,7198.21 "2",7258.19,5736.81,7535.08,7201.24,5927.06,7265.32,7214.92,7574.65,7349.21,7151.92,5757.42,7257.2,7351.6,7398.24,7229.19 "3",7356.16,7333.41,7247.16 "Cpuminer-Opt 3.15.5 - Algorithm: Ringcoin", Higher Results Are Better "1",1584.72,1573.02,1580.71 "2",1568.63,1601.94,1576.9 "3",1579.2,1741.41,1585.64,1571.44,1582.39,1583.17,1576.82,1592.67,1574.31,1574.41,1578.51,1564.61,1584.97,1578.81 "Cpuminer-Opt 3.15.5 - Algorithm: Blake-2 S", Higher Results Are Better "1",213000,226890,217180,224960 "2",225370,200870,215030,222280,227110,221350,216890,210460,221340,215170,229600,217480,242440,228670,235010 "3",230660,229960,217470,226200 "Cpuminer-Opt 3.15.5 - Algorithm: Garlicoin", Higher Results Are Better "1",1722,1743.1,1745.58 "2",1762.29,1738.98,1751.37 "3",1746.59,1730.24,1738.53 "Cpuminer-Opt 3.15.5 - Algorithm: Skeincoin", Higher Results Are Better "1",32900,36170,35800,35270,33500,35920,35990,34760,35970,34220,34170,35840,33240,33770,35190 "2",36610,35140,34400,32250,33000,35860,35980,33230,35250,34310,34090,34000,33190,33060,34700 "3",35890,35800,35430 "Cpuminer-Opt 3.15.5 - Algorithm: Myriad-Groestl", Higher Results Are Better "1",10370,10370,10350 "2",10410,10400,10890 "3",10410,10760,10360 "Cpuminer-Opt 3.15.5 - Algorithm: LBC, LBRY Credits", Higher Results Are Better "1",23360,23120,23510 "2",23580,23310,23330 "3",23550,23570,23270 "Cpuminer-Opt 3.15.5 - Algorithm: Quad SHA-256, Pyrite", Higher Results Are Better "1",46220,47990,48750 "2",45410,49880,49300,49900,45320,55630,46650,47370,49780,47230,48610,46760,45970,47990,53530 "3",33410,46270,49870,50490,45950,44600,51400,52370,47330,47810,51780,51430,47530,53710,51160 "Cpuminer-Opt 3.15.5 - Algorithm: Triple SHA-256, Onecoin", Higher Results Are Better "1",58270,58600,63100,63440,60410,66670,60210,57400,58500,63490,65960,63030,63560,62330,53730 "2",59850,64360,65560,57660,58900,53020,61430,59160,59100,61330,53710,62700,56350,65340,66780 "3",62770,62960,63040 "dav1d 0.8.1 - Video Input: Chimera 1080p", Higher Results Are Better "1",459.64,460.01,457.68 "2",460.27,460.12,457.57 "3",460.84,460.46,452.87 "dav1d 0.8.1 - Video Input: Summer Nature 4K", Higher Results Are Better "1",142.57,141.79,141.76 "2",139.67,141.48,140.87 "3",140.51,140.2,140.69 "dav1d 0.8.1 - Video Input: Summer Nature 1080p", Higher Results Are Better "1",383.5,386.67,376.47 "2",383.84,374.55,384.19 "3",385.39,388.29,384.3 "dav1d 0.8.1 - Video Input: Chimera 1080p 10-bit", Higher Results Are Better "1",68.75,68.13,68.43 "2",68.95,68.53,68.39 "3",68.19,68.48,68.34 "rav1e 0.4 - Speed: 1", Higher Results Are Better "1",0.277,0.277,0.277 "2",0.277,0.277,0.278 "3",0.277,0.275,0.276 "rav1e 0.4 - Speed: 5", Higher Results Are Better "1",0.81,0.812,0.809 "2",0.817,0.813,0.801 "3",0.812,0.809,0.803 "rav1e 0.4 - Speed: 6", Higher Results Are Better "1",1.049,1.075,1.071 "2",1.069,1.065,1.076 "3",1.072,1.068,1.064 "rav1e 0.4 - Speed: 10", Higher Results Are Better "1",2.394,2.357,2.375 "2",2.41,2.352,2.321 "3",2.4,2.359,2.367 "Timed Godot Game Engine Compilation 3.2.3 - Time To Compile", Lower Results Are Better "1",186.526,186.888,186.677 "2",186.375,186.892,187.264 "3",185.894,186.556,187.222 "Build2 0.13 - Time To Compile", Lower Results Are Better "1",158.775,160.66,159.626 "2",162.262,160.424,159.335 "3",158.313,160.674,161.292 "Timed Eigen Compilation 3.3.9 - Time To Compile", Lower Results Are Better "1",109.831,109.591,110.156 "2",110.989,111.106,111.289 "3",111.232,111.189,110.775 "FinanceBench 2016-07-25 - Benchmark: Repo OpenMP", Lower Results Are Better "1",68052.3125,67849.054688,68151.59375 "2",70483.835938,71141.898438,67859.351562 "3",71784.757812,67864.234375,67999.515625,69850.96875 "FinanceBench 2016-07-25 - Benchmark: Bonds OpenMP", Lower Results Are Better "1",114239.226562,121569.523438,114070.007812,114125.265625,114301.625 "2",114110.976562,114080.054688,114041.664062 "3",114123.625,130678.234375,114253.835938,116337.695312,114116.226562,114013.507812,114179.28125,117617.523438,114217.820312,113998.140625,114530.96875,122277.679688 "Redis 6.0.9 - Test: LPOP", Higher Results Are Better "1",2015761.38,2017000.38,1997602.88 "2",1262801.88,1274214,1277233.25 "3",1234752,1199048.38,1278171.75,1916161.75,1978630.88,1950888.88,1874450.25,1937990.75,1937609.12,1947071.62,1947071.62,1900815.75 "Redis 6.0.9 - Test: SADD", Higher Results Are Better "1",1539413.88,1622359.5,1623950.62,1625223.5 "2",1569371,1607256.75,1589360.5 "3",1594398,1601091.25,1620745.5 "Unpacking Firefox 84.0 - Extracting: firefox-84.0.source.tar.xz", Lower Results Are Better "1",23.867,23.704,24.474,24.106 "2",23.859,23.91,23.732,24.062 "3",24.438,24.067,24.009,23.993 "Redis 6.0.9 - Test: LPUSH", Higher Results Are Better "1",1244090.5,1245190.88,1253938.62 "2",1230816.5,1260263.62,1235804.25 "3",1245346,1254882.75,1249243.25 "Redis 6.0.9 - Test: GET", Higher Results Are Better "1",1888967.12,1874771.62,1897941.88 "2",1802805.12,1799566.62,1725035.75 "3",1802782.12,1762170.88,1732040.12 "Redis 6.0.9 - Test: SET", Higher Results Are Better "1",1456484.62,1329450.75,1434729.5,1421684.38,1451598.75,1428200,1386600.12,1412828.5 "2",1374403.5,1403347.75,1188087,1427185.38,1439295.38,1407900.88,1463486,1429592.62,1438439.5,1437061.62,1449312.5,1458188.38,1455646,1292336,1460331.75 "3",1454766.38,1425724.62,1430205.88 "GnuPG 2.2.27 - 2.7GB Sample File Encryption", Lower Results Are Better "1",83.138,80.16,79.945 "2",80.53,80.137,79.995 "3",80.26,80.086,80.036