Amazon EC2 c7g.4xlarge Graviton3 Tests, "QuantLib 1.21 - ", Higher Results Are Better "c7g.4xlarge",2512.7,2512.5,2513 "a1.4xlarge", "High Performance Conjugate Gradient 3.1 - ", Higher Results Are Better "c7g.4xlarge",26.2789,26.2589,26.3797 "a1.4xlarge",3.77722,3.77946,3.77834 "NAS Parallel Benchmarks 3.4 - Test / Class: BT.C", Higher Results Are Better "c7g.4xlarge",10349.81,10343.52,10325.26 "a1.4xlarge",3152.19,3141.34,3151.02 "NAS Parallel Benchmarks 3.4 - Test / Class: CG.C", Higher Results Are Better "c7g.4xlarge",6551.05,6558.91,6605.88 "a1.4xlarge",1240.3,1179,1181.83,1248.52,1218.48,1210.78 "NAS Parallel Benchmarks 3.4 - Test / Class: EP.D", Higher Results Are Better "c7g.4xlarge",934.01,934.8,935.36 "a1.4xlarge",338.94,338.99,339.67 "NAS Parallel Benchmarks 3.4 - Test / Class: FT.C", Higher Results Are Better "c7g.4xlarge",11792.89,11789.44,11792.99 "a1.4xlarge",2927.84,2923.87,2929.76 "NAS Parallel Benchmarks 3.4 - Test / Class: IS.D", Higher Results Are Better "c7g.4xlarge",1038.58,1046.3,1040.81 "a1.4xlarge",197.2,198.19,197.31 "NAS Parallel Benchmarks 3.4 - Test / Class: LU.C", Higher Results Are Better "c7g.4xlarge",7734.31,7728.06,7728.87 "a1.4xlarge",2557.84,2558.37,2558.16 "NAS Parallel Benchmarks 3.4 - Test / Class: MG.C", Higher Results Are Better "c7g.4xlarge",13483.9,13472.59,13488.33 "a1.4xlarge",3269.01,3263.37,3266.7 "NAS Parallel Benchmarks 3.4 - Test / Class: SP.C", Higher Results Are Better "c7g.4xlarge",4483.01,4468.73,4449.83 "a1.4xlarge",1296.88,1288.84,1295.69 "LeelaChessZero 0.28 - Backend: BLAS", Higher Results Are Better "c7g.4xlarge",1111,1107,1090 "a1.4xlarge",135,134,137 "LeelaChessZero 0.28 - Backend: Eigen", Higher Results Are Better "c7g.4xlarge",1193,1171,1204 "a1.4xlarge",127,129,129 "Rodinia 3.1 - Test: OpenMP LavaMD", Lower Results Are Better "c7g.4xlarge",143.635,143.229,143.138 "a1.4xlarge",360.368,360.374,360.169 "Rodinia 3.1 - Test: OpenMP CFD Solver", Lower Results Are Better "c7g.4xlarge",10.506,10.435,10.492 "a1.4xlarge",41.599,41.314,41.436 "Rodinia 3.1 - Test: OpenMP Streamcluster", Lower Results Are Better "c7g.4xlarge",12.589,11.891,12.346,14.262,14.555,14.867,12.027,13.574,11.98,14.016,14.692,12.754 "a1.4xlarge",47.468,47.396,47.427 "Algebraic Multi-Grid Benchmark 1.2 - ", Higher Results Are Better "c7g.4xlarge",1256931000,1260030000,1259461000 "a1.4xlarge",186372300,186822700,186955800 "Timed MrBayes Analysis 3.2.7 - Primate Phylogeny Analysis", Lower Results Are Better "c7g.4xlarge",251.039,251.852,251.299 "a1.4xlarge",644.501,644.127,645.737 "Xcompact3d Incompact3d 2021-03-11 - Input: input.i3d 129 Cells Per Direction", Lower Results Are Better "c7g.4xlarge",8.00733566,7.99852896,8.04427814 "a1.4xlarge",53.7521782,53.8267937,53.7329102 "Xcompact3d Incompact3d 2021-03-11 - Input: input.i3d 193 Cells Per Direction", Lower Results Are Better "c7g.4xlarge",29.0980587,29.1766415,29.1028709 "a1.4xlarge",182.364258,182.877365,182.510193 "LAMMPS Molecular Dynamics Simulator 29Oct2020 - Model: 20k Atoms", Higher Results Are Better "c7g.4xlarge", "a1.4xlarge",2.737,2.957,2.961 "LAMMPS Molecular Dynamics Simulator 29Oct2020 - Model: Rhodopsin Protein", Higher Results Are Better "c7g.4xlarge",11.172,11.339,11.361 "a1.4xlarge",3.17,3.261,3.304 "LULESH 2.0.3 - ", Higher Results Are Better "c7g.4xlarge",11010.507,11024.618,10787.693 "a1.4xlarge",2316.5665,2338.0123,2330.2383 "WebP Image Encode 1.1 - Encode Settings: Quality 100, Lossless", Lower Results Are Better "c7g.4xlarge",22.944,22.691,22.671 "a1.4xlarge",61.881,61.84,61.683 "WebP Image Encode 1.1 - Encode Settings: Quality 100, Highest Compression", Lower Results Are Better "c7g.4xlarge",9.339,9.359,9.339 "a1.4xlarge",17.819,17.813,18.031 "WebP Image Encode 1.1 - Encode Settings: Quality 100, Lossless, Highest Compression", Lower Results Are Better "c7g.4xlarge",48.212,48.195,48.217 "a1.4xlarge",124.842,124.549,124.734 "simdjson 1.0 - Throughput Test: Kostya", Higher Results Are Better "c7g.4xlarge",1.94,1.94,1.94 "a1.4xlarge",0.63,0.63,0.63 "simdjson 1.0 - Throughput Test: LargeRandom", Higher Results Are Better "c7g.4xlarge",0.7,0.7,0.7 "a1.4xlarge",0.3,0.3,0.3 "simdjson 1.0 - Throughput Test: PartialTweets", Higher Results Are Better "c7g.4xlarge",2.62,2.62,2.62 "a1.4xlarge",0.78,0.78,0.78 "simdjson 1.0 - Throughput Test: DistinctUserID", Higher Results Are Better "c7g.4xlarge",2.69,2.69,2.69 "a1.4xlarge",0.8,0.8,0.8 "DaCapo Benchmark 9.12-MR1 - Java Test: H2", Lower Results Are Better "c7g.4xlarge",3068,2868,2927,2944,2948 "a1.4xlarge",6730,6626,6684,6920 "DaCapo Benchmark 9.12-MR1 - Java Test: Jython", Lower Results Are Better "c7g.4xlarge",3960,3927,3937,3937 "a1.4xlarge",12962,12878,13056,13093 "DaCapo Benchmark 9.12-MR1 - Java Test: Tradesoap", Lower Results Are Better "c7g.4xlarge",3551,3512,3545,3487 "a1.4xlarge",10986,11171,11249,11320 "DaCapo Benchmark 9.12-MR1 - Java Test: Tradebeans", Lower Results Are Better "c7g.4xlarge",3141,3225,3180,3264 "a1.4xlarge",9090,8913,9102,9075 "Zstd Compression 1.5.0 - Compression Level: 3 - Compression Speed", Higher Results Are Better "c7g.4xlarge",4620,4648.3,4649.1 "a1.4xlarge",633.9,641.7,626.2 "Zstd Compression 1.5.0 - Compression Level: 3 - Decompression Speed", Higher Results Are Better "c7g.4xlarge",3509.4,3511.5,3504.5 "a1.4xlarge",1387.3,1321.4,1385 "Zstd Compression 1.5.0 - Compression Level: 19 - Compression Speed", Higher Results Are Better "c7g.4xlarge",41.2,41.2,41.2 "a1.4xlarge",17,16.9,16.9 "Zstd Compression 1.5.0 - Compression Level: 19 - Decompression Speed", Higher Results Are Better "c7g.4xlarge",3042.6,3065.8,3042.5 "a1.4xlarge",1130.9,1119.1,1115.1 "Zstd Compression 1.5.0 - Compression Level: 19, Long Mode - Compression Speed", Higher Results Are Better "c7g.4xlarge",39.7,39.7,39 "a1.4xlarge",16,16,16 "Zstd Compression 1.5.0 - Compression Level: 19, Long Mode - Decompression Speed", Higher Results Are Better "c7g.4xlarge",3229.8,3238.4,3253.5 "a1.4xlarge",1234.3,1223.4,1184 "TSCP 1.81 - AI Chess Performance", Higher Results Are Better "c7g.4xlarge",1370094,1370094,1370094,1370094,1370094 "a1.4xlarge",538394,538921,537869,538921,538394 "ACES DGEMM 1.0 - Sustained Floating-Point Rate", Higher Results Are Better "c7g.4xlarge",5.831696,5.844128,5.885767 "a1.4xlarge",0.895685,0.887506,0.890981 "Coremark 1.0 - CoreMark Size 666 - Iterations Per Second", Higher Results Are Better "c7g.4xlarge",399077.134127,409495.169237,407669.278298 "a1.4xlarge",203808.674607,204094.648893,203704.882551 "7-Zip Compression 21.06 - Test: Compression Rating", Higher Results Are Better "c7g.4xlarge",98113,97797,97563 "a1.4xlarge",32677,32380,32437 "7-Zip Compression 21.06 - Test: Decompression Rating", Higher Results Are Better "c7g.4xlarge",73079,73045,73037 "a1.4xlarge",40833,40940,40900 "Stockfish 13 - Total Time", Higher Results Are Better "c7g.4xlarge",27729811,27303905,27792957 "a1.4xlarge",11056094,10738520,11146676 "asmFish 2018-07-23 - 1024 Hash Memory, 26 Depth", Higher Results Are Better "c7g.4xlarge",32023095,32035687,32343588 "a1.4xlarge",15140045,15345320,15509284 "libavif avifenc 0.10 - Encoder Speed: 0", Lower Results Are Better "c7g.4xlarge",256.507,256.917,257.1 "a1.4xlarge",769.445,767.535,767.927 "libavif avifenc 0.10 - Encoder Speed: 2", Lower Results Are Better "c7g.4xlarge",141.877,141.719,141.498 "a1.4xlarge",449.221,448.446,449.399 "libavif avifenc 0.10 - Encoder Speed: 6", Lower Results Are Better "c7g.4xlarge",9.408,9.411,9.335 "a1.4xlarge",28.898,28.679,28.758 "libavif avifenc 0.10 - Encoder Speed: 6, Lossless", Lower Results Are Better "c7g.4xlarge",11.888,11.924,11.912 "a1.4xlarge",33.723,34.6,33.649 "libavif avifenc 0.10 - Encoder Speed: 10, Lossless", Lower Results Are Better "c7g.4xlarge",5.727,5.8,5.767 "a1.4xlarge",15.221,15.218,15.189 "Timed Apache Compilation 2.4.41 - Time To Compile", Lower Results Are Better "c7g.4xlarge",27.04,26.908,26.872 "a1.4xlarge",74.715,74.76,74.752 "Timed Gem5 Compilation 21.2 - Time To Compile", Lower Results Are Better "c7g.4xlarge",389.163,390.657,393.693 "a1.4xlarge",1157.095,1155.284,1154.467 "Timed ImageMagick Compilation 6.9.0 - Time To Compile", Lower Results Are Better "c7g.4xlarge",27.668,28.119,27.925 "a1.4xlarge",93.218,94.131,93.548 "Timed LLVM Compilation 13.0 - Build System: Ninja", Lower Results Are Better "c7g.4xlarge",545.387,553.684,535.717 "a1.4xlarge",1785.269,1784.373,1784.159 "Timed Node.js Compilation 17.3 - Time To Compile", Lower Results Are Better "c7g.4xlarge",493.851,497.911,500.974 "a1.4xlarge",1769.011,1765.94,1762.78 "Timed PHP Compilation 7.4.2 - Time To Compile", Lower Results Are Better "c7g.4xlarge",69.701,69.43,69.319 "a1.4xlarge",195.878,196.061,196.149 "Build2 0.13 - Time To Compile", Lower Results Are Better "c7g.4xlarge",115.288,115.971,113.801 "a1.4xlarge",351.57,352.517,357.648 "C-Ray 1.1 - Total Time - 4K, 16 Rays Per Pixel", Lower Results Are Better "c7g.4xlarge",38.493,38.548,38.511 "a1.4xlarge",114.926,110.541,100.106,97.538,108.451,99.008,97.136,107.977,97.091,116.7,97.831,111.624,98.235,97.997,116.257 "POV-Ray 3.7.0.7 - Trace Time", Lower Results Are Better "c7g.4xlarge",37.859,37.841,37.89 "a1.4xlarge",99.707,99.076,90.338,92.198,92.529,91.908,93.898,97.021,92.997,90.16,93.55,89.044,92.166,91.611,100.805 "m-queens 1.2 - Time To Solve", Lower Results Are Better "c7g.4xlarge",66.827,66.818,66.822 "a1.4xlarge",110.378,110.369,110.357 "N-Queens 1.0 - Elapsed Time", Lower Results Are Better "c7g.4xlarge",21.536,21.535,21.536 "a1.4xlarge",32.287,32.283,32.286 "Ngspice 34 - Circuit: C2670", Lower Results Are Better "c7g.4xlarge",199.941,197.239,197.492 "a1.4xlarge",479.702,474.316,467.684 "Ngspice 34 - Circuit: C7552", Lower Results Are Better "c7g.4xlarge",188.309,194.938,190.612 "a1.4xlarge",481.033,482.723,478.624 "Google SynthMark 20201109 - Test: VoiceMark_100", Higher Results Are Better "c7g.4xlarge",675.15,675.51,676.246 "a1.4xlarge",331.071,331.07,331.07 "SecureMark 1.0.4 - Benchmark: SecureMark-TLS", Higher Results Are Better "c7g.4xlarge",184383.406,182165.75,184575.703 "a1.4xlarge",74432.211,74397.609,74239.258 "OpenSSL 3.0 - Algorithm: SHA256", Higher Results Are Better "c7g.4xlarge",13716752490,13737289210,13712096220 "a1.4xlarge",6760580260,6799049020,6797439270 "OpenSSL 3.0 - Algorithm: RSA4096", Higher Results Are Better "c7g.4xlarge",2546.8,2546,2546.4 "a1.4xlarge",588.5,588.1,588.3 "OpenSSL 3.0 - Algorithm: RSA4096", Higher Results Are Better "c7g.4xlarge",178399,178623.9,178358.2 "a1.4xlarge",45388.7,45201.2,45396 "Liquid-DSP 2021.01.31 - Threads: 16 - Buffer Length: 256 - Filter Length: 57", Higher Results Are Better "c7g.4xlarge",382810000,384070000,383940000 "a1.4xlarge",165510000,165500000,165530000 "GROMACS 2022.1 - Implementation: MPI CPU - Input: water_GMX50_bare", Higher Results Are Better "c7g.4xlarge",1.126,1.126,1.132 "a1.4xlarge",0.316,0.316,0.316 "TensorFlow Lite 2022-05-18 - Model: SqueezeNet", Lower Results Are Better "c7g.4xlarge",3266.19,3291.38,3216.26 "a1.4xlarge",12075.1,11923.3,12045.7 "TensorFlow Lite 2022-05-18 - Model: Inception V4", Lower Results Are Better "c7g.4xlarge",42002.5,41440.3,42122.5 "a1.4xlarge",191254,185496,189980 "TensorFlow Lite 2022-05-18 - Model: NASNet Mobile", Lower Results Are Better "c7g.4xlarge",11851.6,11170.4,11410.3,11210.2,11729.5,12043.5,10925.8,10847.8,12395.4,12347.5,11573.8,11439.8,11286.4,11919.2,11727.9 "a1.4xlarge",30906.7,31078.2,30975.1 "TensorFlow Lite 2022-05-18 - Model: Mobilenet Float", Lower Results Are Better "c7g.4xlarge",2194.7,2129.52,2145.58 "a1.4xlarge",9928.33,9831.11,10211 "TensorFlow Lite 2022-05-18 - Model: Mobilenet Quant", Lower Results Are Better "c7g.4xlarge",1526.49,1468.14,1514.21 "a1.4xlarge",5728.67,5686.62,5758.7 "TensorFlow Lite 2022-05-18 - Model: Inception ResNet V2", Lower Results Are Better "c7g.4xlarge",39503.5,40558.8,40091.7 "a1.4xlarge",172793,170611,170102 "ASTC Encoder 3.2 - Preset: Thorough", Lower Results Are Better "c7g.4xlarge",13.9252,13.9227,13.9264 "a1.4xlarge",33.5091,33.52,33.5304 "ASTC Encoder 3.2 - Preset: Exhaustive", Lower Results Are Better "c7g.4xlarge",139.3587,139.3882,139.3921 "a1.4xlarge",277.8901,277.7499,277.6608 "Stress-NG 0.14 - Test: Crypto", Higher Results Are Better "c7g.4xlarge",23119.13,23201.9,23224.4 "a1.4xlarge",11980.52,11997.86,11977.75 "Stress-NG 0.14 - Test: IO_uring", Higher Results Are Better "c7g.4xlarge",841810.62,843412.8,843823.92 "a1.4xlarge",912809.75,916092.43,925614.93 "Stress-NG 0.14 - Test: CPU Cache", Higher Results Are Better "c7g.4xlarge",75.56,67.76,72.43,62.86,72.29,82.06,70.33,47.59,63.36,48.56,40.19,68.69 "a1.4xlarge",465.01,471.24,458.31 "Stress-NG 0.14 - Test: CPU Stress", Higher Results Are Better "c7g.4xlarge",5028.91,5030.29,5029.93 "a1.4xlarge",2365.79,2366.31,2365.9 "Stress-NG 0.14 - Test: Matrix Math", Higher Results Are Better "c7g.4xlarge",80082.86,80089.56,80093.79 "a1.4xlarge",7276.52,7402.25,7391.79 "Stress-NG 0.14 - Test: Vector Math", Higher Results Are Better "c7g.4xlarge",55237.21,55245.37,55291.94 "a1.4xlarge",27340.68,27342.37,27341.35 "Stress-NG 0.14 - Test: Memory Copying", Higher Results Are Better "c7g.4xlarge",6696.97,6686.28,6696.72 "a1.4xlarge",797.96,799.93,796.83 "GPAW 22.1 - Input: Carbon Nanotube", Lower Results Are Better "c7g.4xlarge",155.235,155.013,155.291 "a1.4xlarge",764.654,780.065,763.32 "PyBench 2018-02-16 - Total For Average Test Times", Lower Results Are Better "c7g.4xlarge",1185,1184,1185 "a1.4xlarge",3474,3466,3416 "nginx 1.21.1 - Concurrent Requests: 100", Higher Results Are Better "c7g.4xlarge",341701.14,347963.74,347467.73 "a1.4xlarge",143190.63,143162.7,143113.1 "nginx 1.21.1 - Concurrent Requests: 200", Higher Results Are Better "c7g.4xlarge",356811.55,344424.56,355906.83 "a1.4xlarge",141169.18,141550.72,141588.71 "nginx 1.21.1 - Concurrent Requests: 500", Higher Results Are Better "c7g.4xlarge",347279.35,344614.99,347945.69 "a1.4xlarge",139679.01,139196.57,139368.93 "nginx 1.21.1 - Concurrent Requests: 1000", Higher Results Are Better "c7g.4xlarge",346375.1,349447.11,344622.05 "a1.4xlarge",138194.34,138094.88,138326.1 "ONNX Runtime 1.11 - Model: GPT-2 - Device: CPU - Executor: Standard", Higher Results Are Better "c7g.4xlarge",7991.5,7993.5,7985.5 "a1.4xlarge",2315.5,2313,2308 "ONNX Runtime 1.11 - Model: bertsquad-12 - Device: CPU - Executor: Standard", Higher Results Are Better "c7g.4xlarge",407,407,407.5 "a1.4xlarge",113.5,115.5,116.5 "ONNX Runtime 1.11 - Model: fcn-resnet101-11 - Device: CPU - Executor: Standard", Higher Results Are Better "c7g.4xlarge",38,38,38 "a1.4xlarge",9.5,9.5,9.5 "ONNX Runtime 1.11 - Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard", Higher Results Are Better "c7g.4xlarge",608.5,608.5,608.5 "a1.4xlarge",165,165,163.5 "ONNX Runtime 1.11 - Model: super-resolution-10 - Device: CPU - Executor: Standard", Higher Results Are Better "c7g.4xlarge",2816,2815,2821 "a1.4xlarge",758,756.5,756.5 "Apache HTTP Server 2.4.48 - Concurrent Requests: 100", Higher Results Are Better "c7g.4xlarge",67187.11,67200.87,67307.65 "a1.4xlarge",18584,18641.31,18683.99 "Apache HTTP Server 2.4.48 - Concurrent Requests: 200", Higher Results Are Better "c7g.4xlarge",72788.14,73301.4,74941.3 "a1.4xlarge",20769.87,20930.71,20962.15 "Apache HTTP Server 2.4.48 - Concurrent Requests: 500", Higher Results Are Better "c7g.4xlarge",73405.22,73520.58,73713.17 "a1.4xlarge",19971.62,20295.99,20132.86 "Apache HTTP Server 2.4.48 - Concurrent Requests: 1000", Higher Results Are Better "c7g.4xlarge",72567.8,72732.98,72857.22 "a1.4xlarge",19082.25,19392.14,19361.65 "PHPBench 0.8.1 - PHP Benchmark Suite", Higher Results Are Better "c7g.4xlarge",666597,665522,667333 "a1.4xlarge",239636,241921,242221