Ryzen 9 5900X WSL, "High Performance Conjugate Gradient 3.1 - ", Higher Results Are Better "WSL1",5.12403,5.72234,5.13061,5.12852,5.12452,11.8982,5.13417,5.12575,5.11846 "WSL2",4.58837,4.64325,4.48009 "NAMD 2.14 - ATPase Simulation - 327,506 Atoms", Lower Results Are Better "WSL1",1.29189,1.30031,1.29301 "WSL2",1.30746,1.32768,1.31832 "Dolfyn 0.527 - Computational Fluid Dynamics", Lower Results Are Better "WSL1",13.4,13.154,13.137 "WSL2",12.803,12.758,12.702 "Timed HMMer Search 3.3.1 - Pfam Database Search", Lower Results Are Better "WSL1",85.829,85.807,85.865 "WSL2",82,81.864,81.82 "LAMMPS Molecular Dynamics Simulator 29Oct2020 - Model: Rhodopsin Protein", Higher Results Are Better "WSL1",9.106,8.887,8.931 "WSL2",8.405,8.315,8.385 "LZ4 Compression 1.9.3 - Compression Level: 1 - Compression Speed", Higher Results Are Better "WSL1",11854.14,11855.12,11865.46 "WSL2",12399.14,12353.36,12335.33 "LZ4 Compression 1.9.3 - Compression Level: 1 - Decompression Speed", Higher Results Are Better "WSL1",13193.2,13195.6,13197 "WSL2",13495.3,13557.3,13499.1 "LZ4 Compression 1.9.3 - Compression Level: 9 - Compression Speed", Higher Results Are Better "WSL1",68.87,69.19,67.9 "WSL2",74.27,72.93,72.96 "LZ4 Compression 1.9.3 - Compression Level: 9 - Decompression Speed", Higher Results Are Better "WSL1",12862.9,12863.3,12866.2 "WSL2",12965.2,12978,12975.5 "rav1e 0.4 Alpha - Speed: 1", Higher Results Are Better "WSL1",0.525,0.524,0.526 "WSL2",0.517,0.538,0.532 "rav1e 0.4 Alpha - Speed: 5", Higher Results Are Better "WSL1",1.408,1.403,1.403 "WSL2",1.573,1.57,1.594 "rav1e 0.4 Alpha - Speed: 6", Higher Results Are Better "WSL1",1.817,1.811,1.812 "WSL2",2.138,2.138,2.135 "rav1e 0.4 Alpha - Speed: 10", Higher Results Are Better "WSL1",4.323,4.311,4.342 "WSL2",4.939,4.943,4.957 "Himeno Benchmark 3.0 - Poisson Pressure Solver", Higher Results Are Better "WSL1",5472.553552,5832.269734,5746.34429,5581.871209 "WSL2",5082.451526,5012.706198,5106.592136 "Stockfish 12 - Total Time", Higher Results Are Better "WSL1",34823633,34618046,34134880 "WSL2",35729784,36556851,33119761,32650049,33727074,34441541,33526679,31913215,33724880,32754607,32820250,33071653,34027583,33199959,35089314 "asmFish 2018-07-23 - 1024 Hash Memory, 26 Depth", Higher Results Are Better "WSL1",48883248,49772717,48614139 "WSL2",47013909,48230544,46978800 "Timed Clash Compilation - Time To Compile", Lower Results Are Better "WSL1",9.415,5.006,4.932,4.774,4.789,4.919,4.775,4.771,4.768,4.785,4.755,4.772,4.748,4.767,4.784 "WSL2",1267.536,190.766,190.075,190.851,190.646,190.344,192.454,190.53,192.335 "Timed LLVM Compilation 10.0 - Time To Compile", Lower Results Are Better "WSL1",486.178,481.609,484.11 "WSL2",433.67,463.307,447.476,447.622 "Build2 0.12 - Time To Compile", Lower Results Are Better "WSL1",94.976,96.928,96.612 "WSL2",73.792,74.976,73.819 "Numpy Benchmark - ", Higher Results Are Better "WSL1",389.23,382.63,390.79 "WSL2",534.86,555.17,553.3 "Apache CouchDB 3.1.1 - Bulk Size: 100 - Inserts: 1000 - Rounds: 24", Lower Results Are Better "WSL1",204.567,207.308,207.894 "WSL2",78.104,76.322,77.797 "GROMACS 2020.3 - Water Benchmark", Higher Results Are Better "WSL1",1.09,1.103,1.115 "WSL2",0.902,0.889,0.863 "MariaDB 10.5.2 - Clients: 1", Higher Results Are Better "WSL1",8928.5714285714,8849.5575221239,8474.5762711864 "WSL2",2288.3295194508,2288.3295194508,2283.1050228311 "MariaDB 10.5.2 - Clients: 4", Higher Results Are Better "WSL1",6410.2564102564,6289.3081761006,6289.3081761006 "WSL2",1379.3103448276,1385.0415512465,1385.0415512465 "MariaDB 10.5.2 - Clients: 8", Higher Results Are Better "WSL1",5780.3468208092,5714.2857142857,5714.2857142857 "WSL2",1282.0512820513,1283.6970474968,1285.3470437018 "MariaDB 10.5.2 - Clients: 16", Higher Results Are Better "WSL1",4878.0487804878,4807.6923076923,4761.9047619048 "WSL2",540.83288263926,1222.4938875306,1231.5270935961,1196.1722488038,619.57868649318,552.18111540585,514.40329218107,621.50403977626,654.4502617801 "PostgreSQL pgbench 13.0 - Scaling Factor: 1 - Clients: 1 - Mode: Read Only", Higher Results Are Better "WSL1",18714.595863,18664.120128,18764.558763 "WSL2",19631.778465,19738.372444,19773.706976 "PostgreSQL pgbench 13.0 - Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average Latency", Lower Results Are Better "WSL1",0.053,0.054,0.053 "WSL2",0.051,0.051,0.051 "PostgreSQL pgbench 13.0 - Scaling Factor: 1 - Clients: 1 - Mode: Read Write", Higher Results Are Better "WSL1",2542.035589,2559.02318,2557.179367 "WSL2",355.184497,871.399187,1083.783245,1079.963234,1082.904749,1090.422346,1080.068136,1089.085646,1075.444068,1081.929987,1083.490092,1084.021247 "PostgreSQL pgbench 13.0 - Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average Latency", Lower Results Are Better "WSL1",0.394,0.391,0.391 "WSL2",2.816,1.148,0.923,0.926,0.923,0.917,0.926,0.918,0.93,0.924,0.923,0.923 "PostgreSQL pgbench 13.0 - Scaling Factor: 1 - Clients: 50 - Mode: Read Only", Higher Results Are Better "WSL1",97135.324234,95129.261623,95733.849976 "WSL2",512474.506436,507412.721648,512831.833993 "PostgreSQL pgbench 13.0 - Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latency", Lower Results Are Better "WSL1",0.519,0.53,0.526 "WSL2",0.098,0.099,0.098 "PostgreSQL pgbench 13.0 - Scaling Factor: 1 - Clients: 50 - Mode: Read Write", Higher Results Are Better "WSL1",4041.427129,4010.058111,4074.172155 "WSL2",1245.019426,1245.190226,1247.760757 "PostgreSQL pgbench 13.0 - Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average Latency", Lower Results Are Better "WSL1",12.475,12.573,12.374 "WSL2",40.165,40.159,40.077 "Redis 6.0.9 - Test: SADD", Higher Results Are Better "WSL1",1111111.12,1109984.38,1126270.25 "WSL2",2688430,2571516.75,2688688 "Redis 6.0.9 - Test: GET", Higher Results Are Better "WSL1",1251724.62,1277261.88,1262707.12 "WSL2",2801658.25,2817622.5,2703221.5 "Redis 6.0.9 - Test: SET", Higher Results Are Better "WSL1",1070663.75,1069655.62,1060513.25 "WSL2",2513125.5,2475722.75,2457238.25 "OpenVINO 2021.1 - Model: Face Detection 0106 FP16 - Device: CPU", Higher Results Are Better "WSL1",3.25,3.21,3.22 "WSL2",3.12,3.09,3.16 "OpenVINO 2021.1 - Model: Face Detection 0106 FP16 - Device: CPU", Lower Results Are Better "WSL1",1836.11,1853.83,1854.16 "WSL2",1912.61,1921.12,1885.18 "OpenVINO 2021.1 - Model: Face Detection 0106 FP32 - Device: CPU", Higher Results Are Better "WSL1",3.21,3.2,3.21 "WSL2",3.11,3.1,3.1 "OpenVINO 2021.1 - Model: Face Detection 0106 FP32 - Device: CPU", Lower Results Are Better "WSL1",1860.32,1867.89,1859.26 "WSL2",1918.01,1927.89,1924.95 "OpenVINO 2021.1 - Model: Person Detection 0106 FP16 - Device: CPU", Higher Results Are Better "WSL1",2.06,2.08,2.04 "WSL2",2.02,2.01,2.03 "OpenVINO 2021.1 - Model: Person Detection 0106 FP16 - Device: CPU", Lower Results Are Better "WSL1",2854.69,2825.56,2870.8 "WSL2",2928.24,2944.83,2916.64 "OpenVINO 2021.1 - Model: Person Detection 0106 FP32 - Device: CPU", Higher Results Are Better "WSL1",2.04,2.03,2.06 "WSL2",2.03,2.02,2.01 "OpenVINO 2021.1 - Model: Person Detection 0106 FP32 - Device: CPU", Lower Results Are Better "WSL1",2876.04,2878.7,2857.5 "WSL2",2914.06,2935.96,2945.16 "OpenVINO 2021.1 - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU", Higher Results Are Better "WSL1",9646.2,9627.64,9620.97 "WSL2",8537.37,8539.8,8529.86 "OpenVINO 2021.1 - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU", Lower Results Are Better "WSL1",0.62,0.62,0.62 "WSL2",0.68,0.68,0.68 "OpenVINO 2021.1 - Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU", Higher Results Are Better "WSL1",9686.07,9671.19,9667.87 "WSL2",8564.53,8557.38,8565.08 "OpenVINO 2021.1 - Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU", Lower Results Are Better "WSL1",0.61,0.61,0.61 "WSL2",0.68,0.68,0.68 "Apache Cassandra 3.11.4 - Test: Writes", Higher Results Are Better "WSL1",3350,3857,3889,3747,2481,3757,3473,2716,3321,3061,3055,2870 "WSL2",83773,83150,84598 "AI Benchmark Alpha 0.1.2 - Device Inference Score", Higher Results Are Better "WSL1", "AI Benchmark Alpha 0.1.2 - Device Training Score", Higher Results Are Better "WSL1", "AI Benchmark Alpha 0.1.2 - Device AI Score", Higher Results Are Better "WSL1", "BRL-CAD 7.30.8 - VGR Performance Metric", Higher Results Are Better "WSL1", "WSL2", "InfluxDB 1.8.2 - Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000", Higher Results Are Better "WSL1",2006784.1,2043980.3,2040456.3 "WSL2",2141862.2,2146525.2,2108488.4 "InfluxDB 1.8.2 - Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000", Higher Results Are Better "WSL1",2430856.9,2449724.2,2436675.3 "WSL2",2504176.5,2483248.8,2505375.9