6500 2921, "Warsow 2.5 Beta - Resolution: 1920 x 1080", Higher Results Are Better "1",64.8,66.9,67.2 "2",67.1,67.2,67.2 "3",67.1,67.1,67.1 "CP2K Molecular Dynamics 8.1 - Fayalite-FIST Data", Lower Results Are Better "1", "2", "3", "Algebraic Multi-Grid Benchmark 1.2 - ", Higher Results Are Better "1",177836000,178635000,178713800 "2",179302500,179380000,179045200 "3",178220500,179275000,179294200 "OpenFOAM 8 - Input: Motorbike 30M", Lower Results Are Better "1",384.88,385.6,384.66 "2",383.61,383.81,383.89 "3",384.88,384.66,383.3 "LAMMPS Molecular Dynamics Simulator 29Oct2020 - Model: Rhodopsin Protein", Higher Results Are Better "1",2.599,2.577,2.607 "2",2.544,2.59,2.599 "3",2.614,2.594,2.602 "LULESH 2.0.3 - ", Higher Results Are Better "1",1104.785,1104.7924,1108.2647 "2",1105.4453,1105.6797,1107.0506 "3",1105.2049,1102.8035,1101.0952 "dav1d 0.8.1 - Video Input: Chimera 1080p", Higher Results Are Better "1",228.99,230.1,230.04 "2",228.73,230.27,229 "3",228.58,229.3,229.46 "dav1d 0.8.1 - Video Input: Summer Nature 4K", Higher Results Are Better "1",62.62,62.64,62.44 "2",62.49,62.59,62.68 "3",62.39,62.37,62.51 "dav1d 0.8.1 - Video Input: Summer Nature 1080p", Higher Results Are Better "1",211.68,211.23,210.57 "2",211.3,210.54,211.14 "3",210.71,210.85,210.57 "dav1d 0.8.1 - Video Input: Chimera 1080p 10-bit", Higher Results Are Better "1",51.81,51.83,51.89 "2",51.91,51.85,51.78 "3",51.79,51.89,51.84 "rav1e 0.4 - Speed: 1", Higher Results Are Better "1",0.341,0.342,0.342 "2",0.34,0.341,0.342 "3",0.34,0.34,0.341 "rav1e 0.4 - Speed: 5", Higher Results Are Better "1",0.967,0.973,0.976 "2",0.969,0.972,0.972 "3",0.97,0.972,0.972 "rav1e 0.4 - Speed: 6", Higher Results Are Better "1",1.288,1.288,1.289 "2",1.287,1.286,1.287 "3",1.286,1.285,1.286 "rav1e 0.4 - Speed: 10", Higher Results Are Better "1",2.863,2.874,2.878 "2",2.862,2.874,2.876 "3",2.862,2.876,2.871 "Cryptsetup - PBKDF2-sha512", Higher Results Are Better "1",1466539,1462449,1462449 "2",1468593,1464491,1460412 "3",1460412,1464491,1446311 "Cryptsetup - PBKDF2-whirlpool", Higher Results Are Better "1",626389,627138,627138 "2", "3",627138,625642,625642 "Cryptsetup - AES-XTS 256b Encryption", Higher Results Are Better "1",1865.9,1861.8,1870.6 "2",1872.3,1873.3,1871.4 "3",1865,1875.3,1870.5 "Cryptsetup - AES-XTS 256b Decryption", Higher Results Are Better "1",1895.7,1879,1888.6 "2",1890.6,1885.3,1893.1 "3",1882.9,1890.9,1883.5 "Cryptsetup - Serpent-XTS 256b Encryption", Higher Results Are Better "1",643.6,645.9,646.4 "2",647.1,646.7,647.4 "3",645.4,647.1,647.1 "Cryptsetup - Serpent-XTS 256b Decryption", Higher Results Are Better "1",666.3,664.3,664.6 "2",665.4,665.7,665.5 "3",665.5,666,665.8 "Cryptsetup - Twofish-XTS 256b Encryption", Higher Results Are Better "1",360.2,361.3,361.1 "2",361.3,361.3,361.4 "3",360,361.5,361.1 "Cryptsetup - Twofish-XTS 256b Decryption", Higher Results Are Better "1",365.4,364.9,365.4 "2",365.4,364.8,365.7 "3",364.3,365.7,364.9 "Cryptsetup - AES-XTS 512b Encryption", Higher Results Are Better "1",1680.2,1670.8,1678.3 "2",1676,1677,1679.7 "3",1674.5,1681.8,1676.6 "Cryptsetup - AES-XTS 512b Decryption", Higher Results Are Better "1",1709.3,1696.8,1703.4 "2",1704.5,1702.8,1706.9 "3",1704.8,1706.9,1702.5 "Cryptsetup - Serpent-XTS 512b Encryption", Higher Results Are Better "1",646.6,646.1,645.6 "2",646.2,647,646.8 "3",647.7,646.2 "Cryptsetup - Serpent-XTS 512b Decryption", Higher Results Are Better "1",664.6,664,664.9 "2",665.9,665.2,666.2 "3",665.3,666.2,665.3 "Cryptsetup - Twofish-XTS 512b Encryption", Higher Results Are Better "1",361.3,360.7 "2",360.5,361.2 "3",361.1,360.9,360.9 "Cryptsetup - Twofish-XTS 512b Decryption", Higher Results Are Better "1",363.9,364.3 "2",365.2,365.2,364.9 "3",364.7,364.8 "Mobile Neural Network 1.1.1 - Model: SqueezeNetV1.0", Lower Results Are Better "1",6.644,6.66,6.645 "2",6.68,6.684,6.636 "3",6.63,6.613,6.641 "Mobile Neural Network 1.1.1 - Model: resnet-v2-50", Lower Results Are Better "1",34.898,34.76,34.907 "2",35.161,35.203,35.324 "3",34.773,34.939,34.784 "Mobile Neural Network 1.1.1 - Model: MobileNetV2_224", Lower Results Are Better "1",4.202,4.193,4.169 "2",4.188,4.182,4.18 "3",4.169,4.182,4.165 "Mobile Neural Network 1.1.1 - Model: mobilenet-v1-1.0", Lower Results Are Better "1",4.946,4.923,4.933 "2",4.978,4.963,5.001 "3",4.916,4.935,4.897 "Mobile Neural Network 1.1.1 - Model: inception-v3", Lower Results Are Better "1",45.732,45.19,45.241 "2",45.111,45.133,45.308 "3",45.459,45.446,45.065 "TNN 0.2.3 - Target: CPU - Model: MobileNet v2", Lower Results Are Better "1",380.559,380.685,380.727 "2",379.285,379.365,379.489 "3",381.513,381.194,381.455 "TNN 0.2.3 - Target: CPU - Model: SqueezeNet v1.1", Lower Results Are Better "1",378.005,377.965,378.382 "2",377.932,378.46,377.923 "3",378.25,378.13,379.301 "Kripke 1.2.4 - ", Higher Results Are Better "1",33602430,34014410,33989640 "2",32640560,33810680,33926380 "3",32689510,33623140,33788510