Intel vs. Graviton2 Amazon EC2 Benchmarks, "asmFish 2018-07-23 - 1024 Hash Memory, 26 Depth", Higher Results Are Better "m6g.metal",105499791,106298885,102806769 "m5.24xlarge",118632709,111523183,113805184,120419819,114483483,114575860,113106282,118955420,111862260,114789754,114391576,115376685 "m6i.24xlarge",138700924,137357058,133912717 "Coremark 1.0 - CoreMark Size 666 - Iterations Per Second", Higher Results Are Better "m6g.metal",1236237.203013,1236316.806182,1237113.402062 "m5.24xlarge",1452070.334657,1442578.609264,1460242.613226 "m6i.24xlarge",1620663.459104,1608040.201005,1592501.969892 "Facebook RocksDB 6.22.1 - Test: Random Read", Higher Results Are Better "m6g.metal",272718629,269738697,268540515 "m5.24xlarge",194574149,194799590,194354482 "m6i.24xlarge",229171479,231488301,232668445 "High Performance Conjugate Gradient 3.1 - ", Higher Results Are Better "m6g.metal",21.4616,21.4451,21.4644 "m5.24xlarge",27.2245,26.6882,26.7526 "m6i.24xlarge",37.22,37.2371,37.2165 "LULESH 2.0.3 - ", Higher Results Are Better "m6g.metal",16878.758,16866.84,16856.512 "m5.24xlarge",16285.533,16262.092,16270.135 "m6i.24xlarge",22620.632,22399.852,22536.861 "m-queens 1.2 - Time To Solve", Lower Results Are Better "m6g.metal",19.417,19.414,19.458 "m5.24xlarge",22.332,22.121,22.571 "m6i.24xlarge",16.446,15.868,15.889 "miniFE 2.2 - Problem Size: Small", Higher Results Are Better "m6g.metal",23843.2,23859.7,23841.7 "m5.24xlarge",14050.5,12751,12809.4,13814,15679.9,13227.1,14707,16376.2,14792.6,12898,13423.2,14162.9,14962.4,12971.1,13481.2 "m6i.24xlarge",15625.4,23886,17400.3,26002.3,19734.7,19264.8,17311.6,23263.8,20249.9,17187.5,21844.8,16856.2,22895.2,16318.3,21355.3 "N-Queens 1.0 - Elapsed Time", Lower Results Are Better "m6g.metal",3.762,3.76,3.76 "m5.24xlarge",3.877,3.852,3.946 "m6i.24xlarge",3.182,3.187,3.063 "NAS Parallel Benchmarks 3.4 - Test / Class: BT.C", Higher Results Are Better "m6g.metal",24469.78,24484.38,24440.31 "m5.24xlarge",104293.52,104643.82,104662.12 "m6i.24xlarge",136644.71,136147.74,136500.89 "NAS Parallel Benchmarks 3.4 - Test / Class: CG.C", Higher Results Are Better "m6g.metal",13490.64,13398.53,13426.95 "m5.24xlarge",30207.6,30275.11,30135.39 "m6i.24xlarge",33166.6,33043.37,33230.3 "NAS Parallel Benchmarks 3.4 - Test / Class: EP.C", Higher Results Are Better "m6g.metal",2199.81,2220.93,2233.49 "m5.24xlarge",5033.3,5214.38,2999.65,4955.21,4928.76,5181.85,5158.91,5113.63,4833,2987.67,5028.71,5052.96,5041.13,4992.92,5134.85 "m6i.24xlarge",6372.09,6587.89,6318.99 "NAS Parallel Benchmarks 3.4 - Test / Class: EP.D", Higher Results Are Better "m6g.metal",2235.36,2229.78,2234.27 "m5.24xlarge",5437.97,5150.7,5152.07,2993.96,5428.79,5177.7,5031.3,5421.86,5147.76,5152.87,2988,5422.61 "m6i.24xlarge",6475.64,6463.01,7105.2,7106.07,6983.87,6631.87,7141.17,6446.65,6462.74,6467.98,6465.71,7136.55,6628.6,7128.89,6641.74 "NAS Parallel Benchmarks 3.4 - Test / Class: FT.C", Higher Results Are Better "m6g.metal",21846.38,21854.86,21849.6 "m5.24xlarge",48640.55,52421.07,47922.53,48287.49,52818.8,49126.74,49796.16,50413.77,51327.54,52879.66,51731.56,51273.54,50740.92,51718.14,52912.65 "m6i.24xlarge",69923.35,70100.59,70071.18 "NAS Parallel Benchmarks 3.4 - Test / Class: MG.C", Higher Results Are Better "m6g.metal",25797.71,25901.17,25919.42 "m5.24xlarge",66201.01,66187.87,64807.79 "m6i.24xlarge",88254.85,88255.6,88235.75 "Pennant 1.0.1 - Test: sedovbig", Lower Results Are Better "m6g.metal",15.40329,15.41791,15.41783 "m5.24xlarge",25.20593,25.2807,25.18049 "m6i.24xlarge",17.23354,17.24288,17.25898 "Pennant 1.0.1 - Test: leblancbig", Lower Results Are Better "m6g.metal",11.30309,11.29107,11.29763 "m5.24xlarge",10.06839,10.01748,10.00492 "m6i.24xlarge",6.414746,6.38444,6.442598 "POV-Ray 3.7.0.7 - Trace Time", Lower Results Are Better "m6g.metal",59.261,62.795,54.525,55.246,52.218,59.29,60.548,63.597,52.461,54.7,60.368,56.557,56.696,54.545,58.782 "m5.24xlarge",36.858,40.466,86.671,69.206,45.599,28.703,29.617,44.003,38.553,27.543,28.523,51.722,32.086,41.441,43.472 "m6i.24xlarge",10.533,10.622,10.737 "Stockfish 13 - Total Time", Higher Results Are Better "m6g.metal",96301463,95675673,97995210 "m5.24xlarge",108879142,104229912,100080401,100515181,108077365,102271725,108955968,105132361,103703744,105928852,117406519,105153212,104272280,110006186,100265561 "m6i.24xlarge",136485231,136760550,137126668 "TNN 0.3 - Target: CPU - Model: DenseNet", Lower Results Are Better "m6g.metal",3288.217,3282.015,3296.255 "m5.24xlarge",3795.966,3794.3,3802.5 "m6i.24xlarge",3529.385,3517.191,3521.166 "TNN 0.3 - Target: CPU - Model: MobileNet v2", Lower Results Are Better "m6g.metal",366.192,365.336,365.989 "m5.24xlarge",425.149,426.947,426.185 "m6i.24xlarge",349.944,350.761,350.429 "TNN 0.3 - Target: CPU - Model: SqueezeNet v2", Lower Results Are Better "m6g.metal",105.343,104.949,104.924 "m5.24xlarge",93.243,93.281,93.274 "m6i.24xlarge",70.37,70.437,71.99 "TNN 0.3 - Target: CPU - Model: SqueezeNet v1.1", Lower Results Are Better "m6g.metal",340.422,340.546,342.977 "m5.24xlarge",394.508,394.752,394.265 "m6i.24xlarge",357.382,357.615,358.166 "Xcompact3d Incompact3d 2021-03-11 - Input: input.i3d 129 Cells Per Direction", Lower Results Are Better "m6g.metal",5.18974018,5.18436003,5.17731619 "m5.24xlarge",4.77996397,4.77560902,4.73982191 "m6i.24xlarge",3.5439961,3.45817995,3.47679305 "Xcompact3d Incompact3d 2021-03-11 - Input: input.i3d 193 Cells Per Direction", Lower Results Are Better "m6g.metal",23.2489681,23.2803497,23.2147865 "m5.24xlarge",21.4115829,21.6880741,21.3052063 "m6i.24xlarge",14.8862934,14.7865143,15.0447664