TR 2990WX 2020

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2012260-HA-TR2990WX254

---

---

TR 2990WX 2020, "VkFFT 1.1.1 - ", Higher Results Are Better "1",9385,9423,9427 "2",9402,9549,9401 "3",9430,9415,9407 "Libplacebo 2.72.2 - Test: deband_heavy", Higher Results Are Better "1",191.85,192.67,193.09 "2",191.74,192.55,193.01 "3",191.66,192.37,192.63 "Libplacebo 2.72.2 - Test: polar_nocompute", Higher Results Are Better "1",267.46,268.41,270.28 "2",267.57,268.14,269.36 "3",267.48,267.56,268.65 "Libplacebo 2.72.2 - Test: hdr_peakdetect", Higher Results Are Better "1",1762.92,1763.02,1762.99 "2",1762.41,1762.98,1762.94 "3",1762.53,1762.73,1762.39 "Libplacebo 2.72.2 - Test: av1_grain_lap", Higher Results Are Better "1",442.38,454.24,448.09 "2",442.82,435.15,446.14 "3",445.51,444.79,448.85 "yquake2 7.45 - Renderer: OpenGL 1.x - Resolution: 1920 x 1080", Higher Results Are Better "1",675.2,690,686.2 "2",633.9,599.6,604.2,654.2,628.2,613,613.6,612.4 "3",606.5,659,619,591.2,612.4,608.3,639,614.2,612.4,660.4,620.2,646.2,646.2,623.3,598.5 "yquake2 7.45 - Renderer: OpenGL 3.x - Resolution: 1920 x 1080", Higher Results Are Better "1",934.9,973.8,940.5 "2",981.4,989,946.1 "3",982.9,951.8,982.9 "yquake2 7.45 - Renderer: Software CPU - Resolution: 1920 x 1080", Higher Results Are Better "1",105.5,105.6,108.6 "2",107.9,105.1,108.3 "3",106.5,107.7,104.5 "Embree 3.9.0 - Binary: Pathtracer - Model: Crown", Higher Results Are Better "1",20.1277,22.5632,24.5223,23.8908,25.0978,23.2788,24.8125,24.6166,24.8961,24.5506,24.0542,23.8681,24.2494,24.8884,24.8732 "2",24.5094,24.3009,25.0363 "3",24.9035,23.817,24.3702 "Embree 3.9.0 - Binary: Pathtracer ISPC - Model: Crown", Higher Results Are Better "1",22.315,22.9168,22.9459 "2",21.4764,22.5816,22.6516 "3",22.3897,23.0938,22.4524 "Embree 3.9.0 - Binary: Pathtracer - Model: Asian Dragon", Higher Results Are Better "1",21.9004,23.2049,19.3014,20.1041,21.2941,21.3775,22.9166,20.7886,22.646,22.2371,21.8844,22.7666,23.5059,22.6257,22.7934 "2",21.1253,23.1191,23.8692,22.6559,21.8554,22.9254,23.2155,21.1619,22.0971,22.4238,21.7601,21.8246,21.7708,23.1184,24.5266 "3",21.3921,20.9398,22.6604,24.707,21.2901,22.4963,21.4274,22.1981,22.1976,22.737,22.0862,21.5401,22.6029,21.922,23.7849 "Embree 3.9.0 - Binary: Pathtracer - Model: Asian Dragon Obj", Higher Results Are Better "1",19.4343,17.39,18.0544,17.2446,18.6233,17.0444,18.2698,17.5364,18.5677,19.3466,19.8429,19.6525,18.2212,17.6097,16.7886 "2",20.2508,18.8984,17.1729,20.6133,19.4792,20.1059,17.6088,19.5645,18.9924,17.0168,20.2369,21.6079,20.5344,20.0208,17.3853 "3",20.8692,20.7836,19.06,19.1371,17.2795,19.402,20.8386,17.0557,20.7715,17.4013,21.1552,19.0631 "Embree 3.9.0 - Binary: Pathtracer ISPC - Model: Asian Dragon", Higher Results Are Better "1",21.259,21.4835,21.2042 "2",23.0016,22.1707,20.4039,21.0493,21.1601,22.825,21.8233,20.41,21.8662,22.4923,22.7128,19.9613,22.2114,22.457,20.4664 "3",21.3643,20.7605,23.218,21.1397,22.0874,20.3685,21.8061,20.9902,22.2657,21.9943,21.8669,20.4081,21.6103,21.585,21.9687 "Embree 3.9.0 - Binary: Pathtracer ISPC - Model: Asian Dragon Obj", Higher Results Are Better "1",17.2434,15.8848,16.6801,19.4713,17.4538,18.8956,15.9677,17.4653,18.8597,20.1553,17.1475,16.9249 "2",16.5033,15.4731,15.5521,18.2379,15.1329,18.1442,16.6844,19.0728,18.8115,17.0898,18.3767,17.7501 "3",17.8631,17.1214,19.4738,17.4194,18.1895,16.9724,16.1137,15.2821,16.4658,18.477,18.6778,17.028,16.0925,18.5812,17.2401 "Kvazaar 2.0 - Video Input: Bosphorus 4K - Video Preset: Slow", Higher Results Are Better "1",10.29,10.3,10.29 "2",10.37,10.4,10.36 "3",10.34,10.32,10.3 "Kvazaar 2.0 - Video Input: Bosphorus 4K - Video Preset: Medium", Higher Results Are Better "1",10.47,10.47,10.46 "2",10.6,10.55,10.53 "3",10.54,10.51,10.53 "Kvazaar 2.0 - Video Input: Bosphorus 1080p - Video Preset: Slow", Higher Results Are Better "1",27.03,27.03,26.9 "2",27.06,27.26,27.06 "3",26.57,27.09,27.1 "Kvazaar 2.0 - Video Input: Bosphorus 1080p - Video Preset: Medium", Higher Results Are Better "1",27.77,27.75,27.56 "2",27.93,27.74,27.86 "3",27.49,27.91,27.94 "Kvazaar 2.0 - Video Input: Bosphorus 4K - Video Preset: Very Fast", Higher Results Are Better "1",23.59,23.48,23.56 "2",23.6,23.68,23.44 "3",23.65,23.65,23.52 "Kvazaar 2.0 - Video Input: Bosphorus 4K - Video Preset: Ultra Fast", Higher Results Are Better "1",40.21,39.26,39.58 "2",39.42,39.93,39.66 "3",39.43,39.33,39.4 "Kvazaar 2.0 - Video Input: Bosphorus 1080p - Video Preset: Very Fast", Higher Results Are Better "1",60.77,60.29,61.01 "2",60.48,60.49,61.09 "3",60.97,61.12,60.28 "Kvazaar 2.0 - Video Input: Bosphorus 1080p - Video Preset: Ultra Fast", Higher Results Are Better "1",117.1,116.71,116.6 "2",117.18,116.19,114.91 "3",117.17,116.59,116.27 "rav1e 0.4 Alpha - Speed: 1", Higher Results Are Better "1",0.314,0.315,0.317 "2",0.32,0.319,0.32 "3",0.319,0.318,0.316 "rav1e 0.4 Alpha - Speed: 5", Higher Results Are Better "1",0.952,0.952,0.958 "2",0.954,0.952,0.946 "3",0.956,0.957,0.946 "rav1e 0.4 Alpha - Speed: 6", Higher Results Are Better "1",1.271,1.268,1.27 "2",1.273,1.269,1.276 "3",1.27,1.276,1.277 "rav1e 0.4 Alpha - Speed: 10", Higher Results Are Better "1",2.869,2.86,2.847 "2",2.795,2.854,2.841 "3",2.84,2.842,2.876 "x265 3.4 - Video Input: Bosphorus 4K", Higher Results Are Better "1",16.68,16.56,16.62 "2",15.16,15.3,15.33 "3",16.65,16.57,16.44 "x265 3.4 - Video Input: Bosphorus 1080p", Higher Results Are Better "1",40.82,40.76,41.49 "2",40.32,40.47,40.3 "3",41.03,41.02,41.14 "HPC Challenge 1.5.0 - Test / Class: G-Ptrans", Higher Results Are Better "1",4.18605,3.49341,4.32546 "2",4.35517,4.39789,4.27012 "3",4.12118,4.05285,4.3488 "HPC Challenge 1.5.0 - Test / Class: EP-STREAM Triad", Higher Results Are Better "1",1.3471,1.19813,1.38375 "2",1.25078,1.29486,1.37749 "3",1.46123,1.36161,1.19175 "HPC Challenge 1.5.0 - Test / Class: Random Ring Bandwidth", Higher Results Are Better "1",0.57459,0.571441,0.56758 "2",0.583275,0.559712,0.606027 "3",0.588936,0.607499,0.585122 "simdjson 0.7.1 - Throughput Test: Kostya", Higher Results Are Better "1",0.43,0.44,0.44 "2",0.44,0.44,0.44 "3",0.44,0.44,0.43 "simdjson 0.7.1 - Throughput Test: LargeRandom", Higher Results Are Better "1",0.39,0.39,0.39 "2",0.4,0.39,0.39 "3",0.4,0.39,0.4 "simdjson 0.7.1 - Throughput Test: PartialTweets", Higher Results Are Better "1",0.5,0.51,0.51 "2",0.51,0.49,0.51 "3",0.51,0.51,0.51 "simdjson 0.7.1 - Throughput Test: DistinctUserID", Higher Results Are Better "1",0.52,0.52,0.52 "2",0.52,0.52,0.52 "3",0.52,0.52,0.52 "HPC Challenge 1.5.0 - Test / Class: G-HPL", Higher Results Are Better "1",54.4153,54.5079,54.8719 "2",52.8986,52.576,52.858 "3",54.7075,54.344,53.8637 "HPC Challenge 1.5.0 - Test / Class: G-Ffte", Higher Results Are Better "1",10.0299,9.97886,10.1313 "2",9.63128,9.50262,10.0886 "3",9.41513,9.91551,9.69873 "HPC Challenge 1.5.0 - Test / Class: EP-DGEMM", Higher Results Are Better "1",10.8837,13.5547,13.4134 "2",8.94597,8.51995,8.94318 "3",12.4157,13.6072,13.0796 "HPC Challenge 1.5.0 - Test / Class: G-Random Access", Higher Results Are Better "1",0.0274554,0.028415,0.0287041 "2",0.0266523,0.0287867,0.0284958 "3",0.028554,0.0284146,0.0290126 "Coremark 1.0 - CoreMark Size 666 - Iterations Per Second", Higher Results Are Better "1",1151079.136691,1145413.870246,1141684.877135 "2",1148136.520608,1149115.719544,1146747.894643 "3",1149786.660678,1143878.462913,1146337.094752 "IndigoBench 4.4 - Acceleration: CPU - Scene: Bedroom", Higher Results Are Better "1",5.053,5.069,4.986 "2",4.401,5.037,5.063,5.027,5.063,5.05,5.071,5.039,5.071,5.017,5.052,5.032 "3",5.09,5.023,5.059 "IndigoBench 4.4 - Acceleration: CPU - Scene: Supercar", Higher Results Are Better "1",11.052,11.034,11.018 "2",10.884,11.048,10.957 "3",11.034,11.092,10.982 "HPC Challenge 1.5.0 - Test / Class: Max Ping Pong Bandwidth", Higher Results Are Better "1",10837.083,10440.757,11308.284 "2",11147.526,10828.253,10520.142 "3",11289.166,11043.561,10584.755 "LZ4 Compression 1.9.3 - Compression Level: 1 - Compression Speed", Higher Results Are Better "1",8498.66,8414.82,8640.63 "2",8633.27,8749.61,8476.64 "3",8425.56,8496.69,8603.66 "LZ4 Compression 1.9.3 - Compression Level: 1 - Decompression Speed", Higher Results Are Better "1",9484.4,9461.2,9573 "2",9633.9,9666.8,9643 "3",9486.3,9634,9499.7 "LZ4 Compression 1.9.3 - Compression Level: 3 - Compression Speed", Higher Results Are Better "1",47.43,48.41,46.54 "2",47.61,46.98,46.76 "3",46.88,46.35,47.37 "LZ4 Compression 1.9.3 - Compression Level: 3 - Decompression Speed", Higher Results Are Better "1",9101.4,9250.2,9032.9 "2",9219.5,9154.2,9201.9 "3",9075.2,9265,9224.8 "LZ4 Compression 1.9.3 - Compression Level: 9 - Compression Speed", Higher Results Are Better "1",46.4,48.05,51.77,45.78,45.57,45.77,45.79,46.6,45.66,46.62,46.08,44.95,48,46.52,45.47 "2",48.3,46.02,48.34 "3",45.94,45.92,45.96 "LZ4 Compression 1.9.3 - Compression Level: 9 - Decompression Speed", Higher Results Are Better "1",9067.6,9050.8,9295.6,9094.6,9145.5,9067.2,9084.9,9074.6,9083.2,9285.3,9071.6,9065.2,9051.9,9068.3,9097 "2",9210.8,9225.8,9215.1 "3",9096.3,9160.3,9134.8 "Zstd Compression 1.4.5 - Compression Level: 3", Higher Results Are Better "1",3658,3304.1,3392.6,3718.6,3870.5,3501.7,3688.1,4358.4,3576.4,3380.3,3193.9,3638.2 "2",3505.2,3246.3,3787.2,4118.6,3475.3,4463.7,4308.7,4346.1,3258.8,3251.4,3959,3866.8 "3",3292.8,3841.9,3438.7,4146.1,4395.1,4481.4,3866.4,3905.9,4227.4,3677.3,3950.3,3412.3,3319,3657.4,3105.3 "Zstd Compression 1.4.5 - Compression Level: 19", Higher Results Are Better "1",35.5,34.1,36.9,34.2,35.1,32.8,33.9,30.8,32.2,33.5,35.1,34,33.4,33.5,34 "2",42.4,41.3,42.2 "3",36.7,36.4,35.4 "Crafty 25.2 - Elapsed Time", Higher Results Are Better "1",7324959,7320001,7343633 "2",7380847,7358167,7375109 "3",7370014,7356257,7373832 "Stockfish 12 - Total Time", Higher Results Are Better "1",50893300,50305009,48265452 "2",54278952,55747060,56188303 "3",53503876,55929386,55518774 "asmFish 2018-07-23 - 1024 Hash Memory, 26 Depth", Higher Results Are Better "1",73074266,73057589,75280148 "2",74646847,75065526,74973189 "3",72126312,73890059,71875840 "GROMACS 2020.3 - Water Benchmark", Higher Results Are Better "1",1.842,1.829,1.83 "2",1.866,1.856,1.852 "3",1.84,1.834 "LAMMPS Molecular Dynamics Simulator 29Oct2020 - Model: 20k Atoms", Higher Results Are Better "1",15.913,15.259,15.33 "2",15.417,15.386,15.451 "3",14.752,15.402,15.662,14.933 "LAMMPS Molecular Dynamics Simulator 29Oct2020 - Model: Rhodopsin Protein", Higher Results Are Better "1",14.736,13.676,14.988,11.802,12.648,13.59,14.463,11.894,12.105,12.988,12.622,15.28 "2",12.036,12.445,14.435,11.848,14.913,12.566,12.075,10.943,13.508,14.208,12.067,12.782,12.933,14.54,12.399 "3",12.852,12.353,12.448 "Redis 6.0.9 - Test: LPOP", Higher Results Are Better "1",2659915,2267718.75,2325953.5,2487880.5,2202713.75,2427495.25,2314814.75,2564184.75,2660255.5,2304221.25,2305106,2717913,2267573.5,2358943.5,2610966.25 "2",1312755.88,1408721.12,1291989.62,2203418.5,2159827.25,2639366.75,2320260,2203348,2132400.75,2242296,2283251.25,2506265.75 "3",1428617.12,1312503.88,1443324.62,1314523,2551836.75,2257480.75,2577814.25,2309468.75,2257769.75,2132946.75,2347568,2049180.25 "Redis 6.0.9 - Test: SADD", Higher Results Are Better "1",1968503.88,1751425.62,2012394.38,1901140.62,1980198,1805054.12,1941747.62,1795964.12,1992032,1915770,1795332.25,1923077,1890722.12,1845254.62,1869816.75 "2",1818821.75,1946147.88,1949317.75,1838411.62,1949629.62,1769968.12,1831794.88,1675095.5,1912596.5,1792172,1825109.5,1767293.38,1946085.62,1647815.5,1724193.12 "3",1984634.88,1941809.75,1996135.75 "Redis 6.0.9 - Test: LPUSH", Higher Results Are Better "1",1385041.5,1332111.88,1389333.25 "2",1369906.88,1302208.38,1375824,1312377.88 "3",1338988,1374109.88,1385396.12 "Redis 6.0.9 - Test: GET", Higher Results Are Better "1",2173913,2309838.25,2155241.5,2227242.75,2118847.5,2040881.62,2222435.5,2127795.75,2298850.5,2421307.5,2212460.25,2146609.5,2247478.75,2375449,1949879.12 "2",2178719,2020202,2049245.88,2288402.75,2045775.12,2331748.25,1957009.88,2020525.25,1980451.5,2247478.75,2016516.12,2057613.12,2222222.25,2071055.88,2008032.12 "3",2315555.5,2012394.38,2040816.25,2075684.62,2203066,2179625.25,2178649.25,2021042.38,2105465.25,2029241.38,2227242.75,2066314,1992860.62,1980831.75,1938170.62 "Redis 6.0.9 - Test: SET", Higher Results Are Better "1",1658374.88,1652892.5,1715320.75 "2",1686826.38,1661235.88,1585090.38,1683501.75 "3",1594947.38,1605136.38,1531785.62 "Node.js V8 Web Tooling Benchmark - ", Higher Results Are Better "1",8.52,8.46,8.43 "2",8.4,7.9,8.32,8.39 "3",8.3,8.17,8.17 "Numpy Benchmark - ", Higher Results Are Better "1",296.56,297.83,296.01 "2",298.08,298.88,297.96 "3",295.16,297.19,295.01 "AI Benchmark Alpha 0.1.2 - Device Inference Score", Higher Results Are Better "1", "2", "AI Benchmark Alpha 0.1.2 - Device Training Score", Higher Results Are Better "1", "2", "AI Benchmark Alpha 0.1.2 - Device AI Score", Higher Results Are Better "1", "2", "PHPBench 0.8.1 - PHP Benchmark Suite", Higher Results Are Better "1",572245,580640,578801 "2",579082,579571,579427 "CLOMP 1.2 - Static OMP Speedup", Higher Results Are Better "1",52.4,50.6,52.2 "2",51.4,51.8 "3",52.8,52.1,50.5 "BRL-CAD 7.30.8 - VGR Performance Metric", Higher Results Are Better "1", "2", "VKMark 2020-05-21 - Resolution: 1280 x 1024", Higher Results Are Better "1",5853,5852,5846 "2",5632,5651,5648 "3",5645,5638,5638 "VKMark 2020-05-21 - Resolution: 1920 x 1080", Higher Results Are Better "1",4380,4390,4383 "2",4262,4271,4268 "3",4270,4262,4271 "VkResample 1.0 - Upscale: 2x - Precision: Single", Lower Results Are Better "1",48.976,49.089,48.97 "2",49.029,48.963,48.996 "3",48.992,49.012,49.059 "oneDNN 2.0 - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",6.20425,6.24372,6.38347 "2",6.18988,6.4192,6.14124 "3",6.14101,6.10951,6.39818 "oneDNN 2.0 - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",12.4994,11.7024,12.437,11.0669,11.0733,11.0562,12.549,11.0564,11.0556,11.0504,11.0419,11.0442 "2",10.7636,11.9915,11.2597,10.7642,10.8042,10.7933,11.7395,10.7936,10.7996,10.8118,10.807,11.6203,10.8045,12.0758,12.2982 "3",10.912,10.9229,10.9505 "oneDNN 2.0 - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",2.12017,2.11829,2.13377 "2",2.11547,2.10269,2.10864 "3",2.11242,2.13998,2.12593 "oneDNN 2.0 - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",3.40587,3.47109,3.48415 "2",3.39439,3.53308,3.54445 "3",3.53496,3.56004,3.4376 "oneDNN 2.0 - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",19.848,19.8478,20.2243 "2",20.2288,20.1173,20.1154 "3",20.2474,20.2691,20.2464 "oneDNN 2.0 - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",2.94695,3.00758,3.03223 "2",2.98289,3.04902,3.01971 "3",3.0082,3.03654,3.0046 "oneDNN 2.0 - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",5.91424,5.91747,5.9464 "2",5.93792,5.94249,5.93528 "3",5.92096,5.92778,5.92026 "oneDNN 2.0 - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",25.1677,25.1776,25.1477 "2",25.0939,25.0949,25.119 "3",25.0642,25.1048,25.1433 "oneDNN 2.0 - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",3.67401,3.46274,4.16846,3.66735,3.41164,3.42295,3.41895,4.09309,4.15905,4.15428,3.51124,3.43091,3.67403,3.47829,3.72155 "2",4.16018,3.65753,3.45556,3.46346,4.13285,3.41304,3.66609,3.72226,3.69297,3.46431,3.66183,3.43724,4.15544,4.1924,4.1495 "3",3.43987,3.40677,3.40433 "oneDNN 2.0 - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",3.43056,3.42538,3.45586 "2",3.45188,3.45075,3.44678 "3",3.45649,3.43427,3.51651 "oneDNN 2.0 - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",13975.6,13639.4,13968.7 "2",13361.4,13374.4,13851.3 "3",13489.9,13864.1,13907.6 "oneDNN 2.0 - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",3781.22,3724.08,3742.23 "2",3767.21,3782.45,3797.43 "3",3781.69,3769.15,3799.35 "oneDNN 2.0 - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",14019,14056.9,13897.4 "2",13162.5,12562.5,13569.6,13508.8,13677.7,13615.8,13712.1,12793.1,13145.7,13202.6 "3",12920.4,14039.7,14079.4,13425.7,12980,13970.8,13915.5,13702.1,14000.7,13666.7,13660.2 "oneDNN 2.0 - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",3819.76,3782.3,3805.5 "2",3776.48,3913.6,3773.63 "3",3516.6,3794.68,3732.03,3795.73,3562.15,3784.8,3772.43,3737.22 "oneDNN 2.0 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",1.36449,1.82295,1.84694,1.44864,1.45312,1.96045,1.91687,1.46624,1.46478,1.86326,1.83905,1.76988,1.45525,1.39063,1.80252 "2",1.57619,2.14936,2.21038,2.21644,1.75737,2.25547,2.2475,2.03153,2.22732,2.03307,2.22862,2.08645,2.06022,2.23783,2.11726 "3",1.79058,2.20286,1.95517,1.92785,1.95536,1.99132,1.9178,1.79028,1.98227,2.15379,2.03582,2.02225,2.05059,2.13995,2.23174 "oneDNN 2.0 - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "1",13833.4,13578,14067.3 "2",13754.9,13886.6,13708.3 "3",13546.8,12737.4,13558.9,13954.6,14109.8,13546.6,13782.9,14124.6,13876.4,12940.5,13736.4,14105.9 "oneDNN 2.0 - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "1",3803.03,3814.85,3807.83 "2",3776.94,3758.2,3806.26 "3",3780.16,3758.53,3794.27 "oneDNN 2.0 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",1.49191,1.49329,1.40033,1.4935,1.37868,1.42724,1.49578,1.49173,1.49139,1.39882,1.49472,1.49347,1.49262,1.50018,1.49556 "2",1.48267,1.48913,1.48467 "3",1.48944,1.48945,1.48982 "NCNN 20201218 - Target: CPU - Model: mobilenet", Lower Results Are Better "1",40.6,37.84,31.88,37.38,33.61,36.45,34.17,50.8,34.96,39.17,33.95,36.03 "2",37.06,32.95,36.19,34.11,33.04,31.61,32.75,36.17,32.75,36.89,35.04,36.12 "3",37.43,32.58,41.14,38.85,31.7,34.58,32.29,32.45,34.4,31.85,39.53,32.09 "NCNN 20201218 - Target: CPU-v2-v2 - Model: mobilenet-v2", Lower Results Are Better "1",15.05,19.41,15.37,17.75,14.52,14.28,14.94,14.97,14.55,15,16.52,15.66 "2",15.06,15.13,15.1,18.42,15.62,14.96,14.51,14.79,14.83,15.08,16.62,17.02 "3",14.69,23.59,16.48,15.46,15.44,14.25,15.56,14.23,15.18,15.12,14.68,14.63 "NCNN 20201218 - Target: CPU-v3-v3 - Model: mobilenet-v3", Lower Results Are Better "1",13.78,16.23,13.12,14.16,19.14,13.3,13.89,13.77,13.35,13.09,15.16,14.31 "2",15.01,13.66,15.88,14.54,30.85,13.61,14.82,14.49,13.56,14.49,13.59,13.91 "3",13.51,15.12,13.41,13.62,29.47,13.63,13.8,13.53,14.66,14.23,12.92,14.6 "NCNN 20201218 - Target: CPU - Model: shufflenet-v2", Lower Results Are Better "1",14.34,14.9,14.87,14.19,13.91,15.11,14.2,14.41,14.01,15.17,13.74,24.49 "2",14.18,14.86,14.68,14.74,13.25,13.58,14.84,14.68,14.51,14.61,14.6,14.52 "3",14.68,14.71,21.93,14.64,14.45,14.75,14.97,12.97,14.57,14.55,15,16.43 "NCNN 20201218 - Target: CPU - Model: mnasnet", Lower Results Are Better "1",14.92,13.4,13.66,13.62,13.11,14.44,13.4,13.42,13.23,13.83,12.91,13.28 "2",13.53,13.36,13.1,15.41,17.6,12.72,13.52,12.62,14.8,13.18,14.23,19.92 "3",14.88,14.25,13.57,13.55,17.07,14.31,13.61,14.64,13.34,13.05,14.39,13.38 "NCNN 20201218 - Target: CPU - Model: efficientnet-b0", Lower Results Are Better "1",19.23,19.8,21.27,21.5,19.56,19.21,18.83,26.43,18.08,19.54,19.07,17.54 "2",18.61,19.36,19.07,19.35,40.42,17.46,19.39,18.67,19.53,19.34,19.11,20.68 "3",18.79,19.45,18.95,18.44,18.95,18.69,22.79,17.69,18.82,18.23,18.67,18.21 "NCNN 20201218 - Target: CPU - Model: blazeface", Lower Results Are Better "1",6.69,8.38,6.72,6.59,6.58,6.79,7.45,6.51,6.82,6.63,6.58,6.17 "2",6.54,6.16,6.82,6.64,6.83,6.73,6.67,6.67,6.32,6.64,7.6,6.36 "3",6.62,8.11,6.43,6.88,9.81,6.73,6.6,13.49,6.56,7.45,6.64,6.49 "NCNN 20201218 - Target: CPU - Model: googlenet", Lower Results Are Better "1",36.37,42.69,45.01,42.11,49.73,64.42,52.14,58.5,44.01,39.22,35.6,64.59 "2",43.8,38.34,32.5,37.52,52.25,52.29,34.72,34.61,55.39,36.35,50.22,36.49 "3",51.47,36.48,30.59,38.7,35.83,44.48,31,59.57,44.15,41.54,65.05,36.51 "NCNN 20201218 - Target: CPU - Model: vgg16", Lower Results Are Better "1",119.34,89.36,87.6,82.96,124.7,113.48,103.63,110.36,85.59,101.68,101.68,108.12 "2",87.85,100.39,90.71,93.93,94.82,89.82,98.34,93.33,101.44,93.72,89.92,81.44 "3",91.84,110.23,91.49,94.46,92.9,101.19,88.53,86.14,104.75,90.26,99.68,95.84 "NCNN 20201218 - Target: CPU - Model: resnet18", Lower Results Are Better "1",50.31,51.15,76.96,60.06,60.1,46.59,72.24,61.79,37.73,37.62,66.44,97.89 "2",40.23,46.5,54.33,63.86,98.07,45.22,76.79,35.36,58.21,34.52,51.85,46.53 "3",75.39,74.01,62.89,91.12,52.48,61.69,64.88,52.03,50.37,53.04,43.76,92.25 "NCNN 20201218 - Target: CPU - Model: alexnet", Lower Results Are Better "1",43.02,37.71,29.17,28.54,40.96,49.75,39.05,33.22,31.06,35.81,45.51,38.88 "2",27.06,29.68,29.27,54.32,26.12,23.34,45.84,37.08,37.69,26.93,38.04,36.71 "3",36.25,38.02,32.61,30.12,28.04,35.96,48.28,39.59,39,28.32,36.66,35.48 "NCNN 20201218 - Target: CPU - Model: resnet50", Lower Results Are Better "1",75.21,116.34,68.21,83.11,75.87,77.87,111.39,72.27,90.6,56.23,72.65,54.57 "2",82.66,62.19,59.08,74.54,68.94,66.72,84.63,75.51,86.26,89.58,73.14,77.09 "3",102.79,67.61,79.78,66.64,52.89,77.6,51.3,104.91,75.08,73.5,67.34,64.4 "NCNN 20201218 - Target: CPU - Model: yolov4-tiny", Lower Results Are Better "1",51.6,54,53.67,50.34,51.08,47.38,49.24,46.73,51.97,48.16,49.59,48.5 "2",55.89,55.57,47.74,47.97,45.2,46.7,49.85,49.66,48.16,46.16,53.99,49.39 "3",43.98,45.83,50.2,51.39,45.42,51.45,51.43,53.66,50.39,47.56,48.31,51.32 "NCNN 20201218 - Target: CPU - Model: squeezenet_ssd", Lower Results Are Better "1",44.88,38.42,38.31,43.53,56.24,44.26,42.68,39.73,40.77,35.72,39.69,38.48 "2",41.54,55.4,35.37,40.73,36.67,46.49,36.6,46.66,37.81,35.49,40.11,36.75 "3",34.22,38.71,55,34.5,41.46,35.57,38.54,35.34,35.57,33.43,38.13,49.11 "NCNN 20201218 - Target: CPU - Model: regnety_400m", Lower Results Are Better "1",100.16,110.86,102,100.91,101.63,102.55,106.46,99.81,102.75,109.23,100.09,98.71 "2",108.92,98.31,102.86,101.62,93.08,100.33,107.01,100.9,99.2,104.66,104.23,96.47 "3",110.73,98.76,93.09,112.21,100.05,133.79,101.07,98.27,104.54,97.9,101.16,95.16 "NCNN 20201218 - Target: Vulkan GPU - Model: mobilenet", Lower Results Are Better "1",44.52,35.21,35,31.1,41.99,37.19,35.57,32.87,40.43,36.76,39.8,37.1 "2",30.89,36.11,31.43,31.01,37.31,34.49,34.75,30.97,36.3,36.86,31.94,33.28 "3",34.8,31.33,34.24,41.48,31.32,34.18,37.6,32.13,32.39 "NCNN 20201218 - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2", Lower Results Are Better "1",15.19,14.51,17.22,16.37,15.61,14.57,16.82,17.76,14.19,15.07,14.28,15.44 "2",17.33,15.78,16.32,15.92,15.18,22.46,14.79,14.46,17.14,14.57,16.59,15.07 "3",13.77,15.35,14.73,14.53,14.94,15.94,14.57,16.03,14.89 "NCNN 20201218 - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3", Lower Results Are Better "1",14.14,13.95,13.95,13.69,13.24,13.64,13.78,18.23,18.79,13.18,13.14,15.25 "2",13.7,14.69,13.39,14.6,17.39,13.95,12.88,14.34,13.21,13.54,13.82,15.08 "3",13.61,13.79,20.54,13.38,23.14,14.82,13.76,15.23,15.26 "NCNN 20201218 - Target: Vulkan GPU - Model: shufflenet-v2", Lower Results Are Better "1",14.61,14.26,13.67,14.51,14.81,14.59,13.59,14.87,20.28,15.31,14.82,13.74 "2",14.51,15.65,14.45,14.67,14.77,14.59,13.6,14.62,14.87,14.56,14.82 "3",22.51,14.37,14.31,14.46,14.46,14.79,14.04,14.87,17.95 "NCNN 20201218 - Target: Vulkan GPU - Model: mnasnet", Lower Results Are Better "1",14.43,16.45,14.06,15.23,16.78,14.31,14.48,15.37,21.84,13.12,15.99 "2",23.77,15.19,13.92,22.57,13.95,14.62,12.69,15.11,19.77,15.75,14.12,13.67 "3",14.23,13.56,13.08,13.58,13,14.74,13.3,12.5,15.93 "NCNN 20201218 - Target: Vulkan GPU - Model: efficientnet-b0", Lower Results Are Better "1",18.63,19.3,18.64,19.51,21.31,18.78,18.03,19.77,19.8,18.45,18.72,18.74 "2",18.46,18.13,18.5,17.12,24.99,23.59,17.72,18.88,17.96,18.51,19.22,18.31 "3",20.09,19.18,18.21,18.92,18.8,23.96,22.57,22.23,20.44 "NCNN 20201218 - Target: Vulkan GPU - Model: blazeface", Lower Results Are Better "1",11.3,6.62,6.53,7.17,6.79,27.33,6.33,6.68,6.58,6.63,6.27,19.58 "2",6.72,6.18,6.63,6.26,15.61,7.94,6.27,6.7,6.35,6.75,6.55,6.78 "3",11.15,6.55,6.2,6.58,6.78,6.59,6.92,6.57,6.46 "NCNN 20201218 - Target: Vulkan GPU - Model: googlenet", Lower Results Are Better "1",61.6,41.45,46.9,43.35,37.02,35.62,32,40.12,37.43,47.49,34.69,35.33 "2",36.21,40.08,36.26,32.38,52.86,31.95,36.92,45.21,41.84,34.14,43.8,35.09 "3",36.57,46.53,32.79,39.69,37.63,31.28,38.42,35.51,46.48 "NCNN 20201218 - Target: Vulkan GPU - Model: vgg16", Lower Results Are Better "1",97.26,113.51,103.75,106.02,109.3,111.17,90.1,99.86,110.06,95.09,96.93,107.86 "2",106.07,116.96,92.26,103.91,96.47,111.11,93.22,98.24,105.16,89.9,103.18,92.24 "3",101.79,99.35,99.07,91.79,113.88,98.78,94.76,93.93,108.21 "NCNN 20201218 - Target: Vulkan GPU - Model: resnet18", Lower Results Are Better "1",68.62,67.93,45.59,52.24,71.75,60.64,46.2,43.45,53.86,66.56,38.58,55.23 "2",43.93,67.19,37.52,67.4,35.88,41.56,31.13,81.74,40.52,97.49,46.89,47.07 "3",61.61,74.3,44.98,51.31,62.45,50.31,50.26,42.95,68.97 "NCNN 20201218 - Target: Vulkan GPU - Model: alexnet", Lower Results Are Better "1",32.86,32.39,34.24,28.83,28.88,37.93,31.96,28.3,39.48,39.83,35.16,32.81 "2",36.32,32.75,29.8,36.77,30.31,27.22,29.37,32.94,27.57,38.31,31.19,36.11 "3",34.67,41.61,27.58,38.47,31.76,44.37,37.56,29.42,37.91 "NCNN 20201218 - Target: Vulkan GPU - Model: resnet50", Lower Results Are Better "1",62.57,89.94,65.25,81.96,54.86,79.25,68.72,79.49,58.16,68.39,74.96,81.19 "2",81.51,103.23,46.53,63.51,113.78,74.83,53.68,61.51,73.75,57.06,78.04,78.85 "3",58.47,91.63,68.5,57.61,73.65,78.45,53.06,104.38,52.57 "NCNN 20201218 - Target: Vulkan GPU - Model: yolov4-tiny", Lower Results Are Better "1",52.09,53.73,55.54,49.82,46.42,47.3,46.6,46.81,53.97,48.74,56.69,45.3 "2",49.85,48.85,46.74,45.52,45.79,52.65,52.72,46.81,47.78,58.38,55.13,56.57 "3",49.18,44.64,56.72,53.34,45.24,45.23,47.43,47.71,44.56 "NCNN 20201218 - Target: Vulkan GPU - Model: squeezenet_ssd", Lower Results Are Better "1",38.06,36.94,43.89,44.25,41.16,41.75,52.74,41.58,35.72,43.13,36.58,39.57 "2",42.1,50.79,41.12,45.81,40.89,39.27,35.18,37.88,37.94,35.41,40.36,33.31 "3",37.75,40.73,38.44,36.22,36.46,38.46,45.02,45.24,33.91 "NCNN 20201218 - Target: Vulkan GPU - Model: regnety_400m", Lower Results Are Better "1",99.53,100.96,100.58,116.32,102.96,99.47,94.07,107.38,99.67,101.81,93.46,95.91 "2",118.17,92.02,99.47,91.44,101.73,101.23,98.25,96.78,92.71,105.25,106.02,100.06 "3",100.35,105.81,90.57,102.97,98.34,112.67,105.58,101.81,93.3 "Waifu2x-NCNN Vulkan 20200818 - Scale: 2x - Denoise: 3 - TAA: No", Lower Results Are Better "1", "Waifu2x-NCNN Vulkan 20200818 - Scale: 2x - Denoise: 3 - TAA: Yes", Lower Results Are Better "1",10.032,10.043,10.04 "2",10.054,10.054,10.056 "3",10.066,10.07,10.085 "Betsy GPU Compressor 1.1 Beta - Codec: ETC1 - Quality: Highest", Lower Results Are Better "1",14.006,10.554,10.536,10.547,10.539,10.531,10.506,10.559,10.493,10.494,10.566,10.502,10.503,10.488,10.486 "2",10.545,10.512,10.501 "3",10.555,10.507,10.525 "Betsy GPU Compressor 1.1 Beta - Codec: ETC2 RGB - Quality: Highest", Lower Results Are Better "1",15.994,12.489,12.486,12.457,12.44,12.455,12.467,12.448,12.483,12.456,12.449,12.437,12.464,12.456,12.468 "2",12.573,12.521,12.535 "3",12.509,12.633,12.518 "Timed HMMer Search 3.3.1 - Pfam Database Search", Lower Results Are Better "1",177.437,162.673,163.115,162.771,161.326,162.655,161.876,161.773,163.288,162.435 "2",162.148,162.605,162.929 "3",161.903,161.739,161.254 "Timed MAFFT Alignment 7.471 - Multiple Sequence Alignment - LSU RNA", Lower Results Are Better "1",12.226,12.151,12.081 "2",12.095,12.604,12.844,12.011,12.017,12.013 "3",11.991,12.391,12.089 "Timed Clash Compilation - Time To Compile", Lower Results Are Better "1",353.966,478.036,477.087,477.746,475.415,480.157,474.099,476.663,475.812 "2",438.834,485.919,477.898,487.419,483.995,477.511,483.905,475.941,482.334 "3",484.678,485.173,486.603 "Timed FFmpeg Compilation 4.2.2 - Time To Compile", Lower Results Are Better "1",45.842,46.429,45.982 "2",31.162,30.649,30.942 "3",33.065,32.532,32.5 "Build2 0.13 - Time To Compile", Lower Results Are Better "1",96.586,96.242,95.773 "2",96.681,95.968,96.371 "Timed Eigen Compilation 3.3.9 - Time To Compile", Lower Results Are Better "1",93.297,93.133,93.327 "2",92.942,93.06,92.94 "3",93.143,93.034,92.997 "Monkey Audio Encoding 3.99.6 - WAV To APE", Lower Results Are Better "1",14.26,13.975,13.937,13.958,14.014 "2",14.242,13.91,13.96,13.968,13.972 "3",14.278,13.982,13.995,13.97,13.979 "Opus Codec Encoding 1.3.1 - WAV To Opus Encode", Lower Results Are Better "1",7.799,7.758,7.731,7.733,7.745 "2",7.813,7.752,7.789,7.799,7.821 "3",7.789,7.762,7.742,7.729,7.846 "eSpeak-NG Speech Engine 20200907 - Text-To-Speech Synthesis", Lower Results Are Better "1",30.68,30.87,30.864,30.974 "2",30.912,31.415,30.8,31.483 "3",31.086,30.846,30.988,31.19 "ASTC Encoder 2.0 - Preset: Fast", Lower Results Are Better "1",5.18,5.21,5.28 "2",5.21,5.23,5.21 "3",5.2,5.2,5.21 "ASTC Encoder 2.0 - Preset: Medium", Lower Results Are Better "1",6.38,6.31,6.33 "2",6.33,6.33,6.31 "3",6.32,6.33,6.39 "ASTC Encoder 2.0 - Preset: Thorough", Lower Results Are Better "1",9.45,9.48,9.69 "2",9.43,9.59,9.46 "3",9.43,9.46,9.45 "ASTC Encoder 2.0 - Preset: Exhaustive", Lower Results Are Better "1",73.18,73.4,73.49 "2",72.9,73.28,73.25 "3",72.9,73.19,73.22 "Basis Universal 1.12 - Settings: ETC1S", Lower Results Are Better "1",47.483,48.035,47.289 "2",47.545,47.471,47.789 "3",48.364,48.442,47.687 "Basis Universal 1.12 - Settings: UASTC Level 0", Lower Results Are Better "1",7.546,7.709,7.529 "2",7.666,7.596,7.617 "3",7.591,7.573,7.636 "Basis Universal 1.12 - Settings: UASTC Level 2", Lower Results Are Better "1",15.808,15.758,15.788 "2",15.732,15.864,15.773 "3",15.761,15.734,15.778 "Basis Universal 1.12 - Settings: UASTC Level 3", Lower Results Are Better "1",25.165,25.182,25.339 "2",25.195,25.229,25.227 "3",25.206,25.101,25.124 "Basis Universal 1.12 - Settings: UASTC Level 2 + RDO Post-Processing", Lower Results Are Better "1",649.435,649.776,654.428 "2",648.617,647.254,647.901 "3",647.126,646.952,647.189 "SQLite Speedtest 3.30 - Timed Time - Size 1,000", Lower Results Are Better "1",66.841,68.132,66.647 "2",67.261,67.952,67.16 "3",67.452,67.012,67.276 "WavPack Audio Encoding 5.3 - WAV To WavPack", Lower Results Are Better "1",13.184,13.202,13.187,13.213,13.207 "2",13.262,13.209,13.193,13.215,13.194 "Sunflow Rendering System 0.07.2 - Global Illumination + Image Synthesis", Lower Results Are Better "1",0.796,0.782,0.789 "2",0.689,0.705,0.782,0.77,0.713,0.659,0.729,0.776,0.682,0.73,0.777,0.727,0.69,0.757,0.784 "HPC Challenge 1.5.0 - Test / Class: Random Ring Latency", Lower Results Are Better "1",1.54023,1.54202,1.52817 "2",1.53912,1.53941,1.52505 "3",1.52793,1.53883,1.53851