Core i7 4790K 202, "Waifu2x-NCNN Vulkan 20200818 - Scale: 2x - Denoise: 3 - TAA: No", Lower Results Are Better "1",13.741,25.842,25.831,25.707,25.843,25.785,25.844,25.719,25.809,25.712,25.843,25.694 "2",26.155,25.828,25.837 "3",26.059,25.881,25.86 "Waifu2x-NCNN Vulkan 20200818 - Scale: 2x - Denoise: 3 - TAA: Yes", Lower Results Are Better "1",6.31,7.031,7.023,6.966,7.035,7.012,7.02,6.947,7.04,7.04,6.946,7.024 "2",6.461,6.699,6.299,6.682 "3",6.364,6.961,6.941,7.04,6.975,5.998,6.3,6.966,6.777,7.069,6.885,7.033,7.038,6.972,7.047 "Libplacebo 2.72.2 - Test: deband_heavy", Higher Results Are Better "1",18.95,18.95,18.95 "2",18.95,18.95,18.95 "3",18.95,18.95,19.22 "Libplacebo 2.72.2 - Test: polar_nocompute", Higher Results Are Better "1",13143.68,13242.03,13175.02 "2",13210.04,13165.1,13294.46 "3",13165.52,13142.32,13020.81 "Libplacebo 2.72.2 - Test: hdr_peakdetect", Higher Results Are Better "1",49457.14,49225.55,47140.12 "2",49685.89,49399.35,49650.62 "3",49135.26,48798.33,49103.38 "Libplacebo 2.72.2 - Test: av1_grain_lap", Higher Results Are Better "1",711.48,712.3,711.81 "2",712.06,711.65,710.82 "3",711.58,712.19,711.5 "Betsy GPU Compressor 1.1 Beta - Codec: ETC1 - Quality: Highest", Lower Results Are Better "1",12.674,6.749,7.286,6.724,6.239,6.749,6.239,7.007,5.993,5.991,7.006,6.997,5.987,6.747,6.237 "2",6.496,5.983,5.975,7.001,7.019,5.976,5.981,7.008,5.982,6.006,5.96,5.986 "3",6.588,7.015,7.001,5.996,6.995,5.983,5.978,5.982,5.981,7.005,5.983,5.986 "Betsy GPU Compressor 1.1 Beta - Codec: ETC2 RGB - Quality: Highest", Lower Results Are Better "1",12.55,6.232,7.02,6.763,6.23,5.983,5.984,7.006,5.98,5.994,6.997,5.989,5.974,6.097,5.866 "2",6.001,7.012,6.897,5.982,6.991,7.03,7,7.019,6.993,6.095,6.91,6.095,6.988,6.904,6.102 "3",6.666,6.333,6.911,6.729,5.981,6.251,6.046,7.103,6.999,5.974,5.992,5.984 "DDraceNetwork 15.2.3 - Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: RaiNyMore2", Higher Results Are Better "1",45.598027052196,45.388146025973,45.402448548651 "2",45.395792424619,45.397635208381,45.413233880761 "3",45.454612764019,45.449904016051,45.415542735485 "DDraceNetwork 15.2.3 - Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: RaiNyMore2 - Total Frame Time", Lower Results Are Better "1", "2", "3", "DDraceNetwork 15.2.3 - Resolution: 3840 x 2160 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: RaiNyMore2", Higher Results Are Better "1",13.047526101215,13.031456367102,13.025213741326 "2",13.057084877798,13.045190553941,13.058712557365 "3",13.060230498763,12.97949442382,13.03972448339 "DDraceNetwork 15.2.3 - Resolution: 3840 x 2160 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: RaiNyMore2 - Total Frame Time", Lower Results Are Better "1", "2", "3", "DDraceNetwork 15.2.3 - Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: Multeasymap", Higher Results Are Better "1",101.61507760538,101.09619337099,100.73326961486 "2",100.88674345048,100.54221146822,100.50745265687 "3",100.96760839794,100.741035691,100.85559318159 "DDraceNetwork 15.2.3 - Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: Multeasymap - Total Frame Time", Lower Results Are Better "1", "2", "3", "DDraceNetwork 15.2.3 - Resolution: 3840 x 2160 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: Multeasymap", Higher Results Are Better "1",29.547509191148,29.585887898176,29.594261146031 "2",29.622193926415,29.598709644173,29.571101707751 "3",29.480161732702,29.523449345646,29.593178100497 "DDraceNetwork 15.2.3 - Resolution: 3840 x 2160 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: Multeasymap - Total Frame Time", Lower Results Are Better "1", "2", "3", "yquake2 7.45 - Renderer: OpenGL 1.x - Resolution: 1920 x 1080", Higher Results Are Better "1",206.3,207.6,206.4 "2",207.2,209.1,208.4 "3",207.6,208.2,207.1 "yquake2 7.45 - Renderer: OpenGL 1.x - Resolution: 2560 x 1440", Higher Results Are Better "1",130.9,130.7,129.7 "2",128.9,130.8,129.6 "3",131.2,131,130.8 "yquake2 7.45 - Renderer: OpenGL 1.x - Resolution: 3840 x 2160", Higher Results Are Better "1",67,67.3,67.1 "2",66.9,67,67.6 "3",67,67.1,66.9 "yquake2 7.45 - Renderer: OpenGL 3.x - Resolution: 1920 x 1080", Higher Results Are Better "1",200.4,200.4,202 "2",200.3,200.3,199.6 "3",198.6,201.7,201.1 "yquake2 7.45 - Renderer: OpenGL 3.x - Resolution: 2560 x 1440", Higher Results Are Better "1",125.7,125.9,126.1 "2",125.9,125.9,125.7 "3",126.1,125.6,126.1 "yquake2 7.45 - Renderer: OpenGL 3.x - Resolution: 3840 x 2160", Higher Results Are Better "1",63,62.7,62.6 "2",62.6,62.5,62.6 "3",62.7,62.7,62.7 "yquake2 7.45 - Renderer: Software CPU - Resolution: 1920 x 1080", Higher Results Are Better "1",96.3,98.5,99.2 "2",97.5,99.4,96 "3",97.6,98.5,97.2 "yquake2 7.45 - Renderer: Software CPU - Resolution: 2560 x 1440", Higher Results Are Better "1",60.9,59.9,60.1 "2",59.7,58.9,60.4 "3",60.4,61,60.9 "yquake2 7.45 - Renderer: Software CPU - Resolution: 3840 x 2160", Higher Results Are Better "1",27.8,28,27.7 "2",27.5,28.1,28.3 "3",28.5,28.5,28.4 "HPC Challenge 1.5.0 - Test / Class: G-HPL", Higher Results Are Better "1",93.8719,89.1919,88.4911,89.6974 "2",86.6933,87.4848,92.0082,92.6447,91.3362,90.6537 "3",90.8152,95.0599,90.6036 "HPC Challenge 1.5.0 - Test / Class: G-Ffte", Higher Results Are Better "1",2.17112,2.11871,1.90596 "2",2.20913,1.91056,1.75083 "3",1.75074,1.93813,1.99043 "HPC Challenge 1.5.0 - Test / Class: EP-DGEMM", Higher Results Are Better "1",44.1039,44.5092,42.7595 "2",42.6637,42.3453,42.6034 "3",45.9244,44.4168,43.6996 "HPC Challenge 1.5.0 - Test / Class: G-Ptrans", Higher Results Are Better "1",0.518548,0.477007,0.486397 "2",0.458517,0.571572,0.455457 "3",0.465431,0.499996,0.473978 "HPC Challenge 1.5.0 - Test / Class: EP-STREAM Triad", Higher Results Are Better "1",4.05655,4.01557,4.04159 "2",4.05119,4.05308,4.04227 "3",4.072,4.03711,4.07202 "HPC Challenge 1.5.0 - Test / Class: G-Random Access", Higher Results Are Better "1",0.0259549,0.0275321,0.0260088 "2",0.0257334,0.0252586,0.0277543 "3",0.0273401,0.0278599,0.0261842 "HPC Challenge 1.5.0 - Test / Class: Random Ring Latency", Lower Results Are Better "1",0.327495,0.186132,0.322748 "2",0.338189,0.318605,0.324195 "3",0.186713,0.32367,0.325016 "HPC Challenge 1.5.0 - Test / Class: Random Ring Bandwidth", Higher Results Are Better "1",3.25149,3.577,3.35247 "2",2.65579,2.82444,3.00879 "3",2.98643,2.95213,3.70208 "HPC Challenge 1.5.0 - Test / Class: Max Ping Pong Bandwidth", Higher Results Are Better "1",19573.302,19117.26,19154.153 "2",18258.921,20344.535,19950.125 "3",18793.549,18161.84,19153.695 "Timed HMMer Search 3.3.1 - Pfam Database Search", Lower Results Are Better "1",123.627,123.974,123.581 "2",123.862,123.977,123.579 "3",123.92,123.713,123.862 "Timed MAFFT Alignment 7.471 - Multiple Sequence Alignment - LSU RNA", Lower Results Are Better "1",12.003,11.978,12.154 "2",11.962,11.967,11.847 "3",11.957,11.837,11.918 "LAMMPS Molecular Dynamics Simulator 29Oct2020 - Model: Rhodopsin Protein", Higher Results Are Better "1",2.139,2.281,2.245,2.375,2.328,2.24,2.139,2.279,2.808,2.039,2.248,2.696 "2",2.007,2.736,2.078,2.276,2.412,2.08,2.104,2.232,2.497,2.13,2.214,2.294,2.32,2.211 "3",2.003,2.338,2.193,2.201,2.398,2.187,2.284,2.38,2.349,2.095,2.459,2.222,2.225,2.265,2.269 "simdjson 0.7.1 - Throughput Test: Kostya", Higher Results Are Better "1",0.68,0.68,0.68 "2",0.68,0.68,0.68 "3",0.68,0.68,0.68 "simdjson 0.7.1 - Throughput Test: LargeRandom", Higher Results Are Better "1",0.46,0.45,0.45 "2",0.45,0.45,0.45 "3",0.45,0.45,0.45 "simdjson 0.7.1 - Throughput Test: PartialTweets", Higher Results Are Better "1",0.73,0.75,0.72 "2",0.7,0.7,0.73 "3",0.74,0.73,0.73 "simdjson 0.7.1 - Throughput Test: DistinctUserID", Higher Results Are Better "1",0.76,0.77,0.78 "2",0.74,0.72,0.77,0.74 "3",0.73,0.75,0.74 "LZ4 Compression 1.9.3 - Compression Level: 1 - Compression Speed", Higher Results Are Better "1",5684.61,5658.22,5671.7 "2",5698.61,5678.23,5685.29 "3",5695.6,5702.53,5693.68 "LZ4 Compression 1.9.3 - Compression Level: 1 - Decompression Speed", Higher Results Are Better "1",6643.1,6610,6616.7 "2",6649.5,6646.6,6634.7 "3",6649.8,6645.8,6650.1 "LZ4 Compression 1.9.3 - Compression Level: 3 - Compression Speed", Higher Results Are Better "1",52.43,52.17,52.15 "2",52.4,52.36,52.43 "3",51.46,52.15,52.14 "LZ4 Compression 1.9.3 - Compression Level: 3 - Decompression Speed", Higher Results Are Better "1",6533,6527.5,6529.8 "2",6529,6529.1,6524.3 "3",6526.2,6523.2,6521.5 "LZ4 Compression 1.9.3 - Compression Level: 9 - Compression Speed", Higher Results Are Better "1",51.26,51.28,51.31 "2",51.28,51.26,51.31 "3",50.6,51.28,48.46 "LZ4 Compression 1.9.3 - Compression Level: 9 - Decompression Speed", Higher Results Are Better "1",6539.7,6528.2,6530.3 "2",6528,6546.3,6539 "3",6539.3,6534.9,6535.7 "oneDNN 2.0 - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",9.0664,9.1813,9.18816 "2",9.38459,8.91434,8.9908 "3",9.14877,9.28161,9.13192 "oneDNN 2.0 - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",14.2244,14.273,14.2588 "2",15.1313,15.2713,14.8198 "3",16.256,14.9538,16.4711,15.0485,16.541,14.8395,15.5581,15.107,15.8388,14.8833,15.2737,14.9113,15.6187,15.0004,15.0217 "oneDNN 2.0 - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",5.21493,5.21341,5.22987 "2",5.19411,5.16147,5.18029 "3",5.16391,5.17144,5.21588 "oneDNN 2.0 - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",4.25328,4.26472,4.25941 "2",4.15129,4.15822,4.18348 "3",5.2554,5.38182,4.48635,5.76172,5.96436,5.17906,5.66616,5.38242,5.24986,5.38347,5.44956,5.36691,4.65173,5.21468,5.05034 "oneDNN 2.0 - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",26.3773,26.4398,26.4385 "2",26.8783,26.9053,26.9841 "3",27.2472,27.1944,26.7349 "oneDNN 2.0 - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",10.6843,10.7834,10.7704 "2",10.7092,10.7265,10.7288 "3",10.6624,11.0031,10.6698 "oneDNN 2.0 - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",16.4728,16.639,16.5093 "2",17.9188,17.0267,17.6546 "3",16.8736,16.5117,16.5189 "oneDNN 2.0 - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",26.0854,26.1167,26.0125 "2",26.143,26.1786,26.0984 "3",25.6311,25.6748,25.9247 "oneDNN 2.0 - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",12.1552,12.799,12.2275 "2",12.2492,12.7905,12.7712 "3",12.0005,12.2148,12.0768 "oneDNN 2.0 - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",11.3047,11.3734,11.3012 "2",11.2707,11.3119,11.2755 "3",11.2617,11.1113,11.1192 "oneDNN 2.0 - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",8474.74,8530.77,8481.73 "2",8402.49,8379.56,8450.22 "3",8425.14,8476.45,8438.67 "oneDNN 2.0 - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",4731.74,4730.89,4728.56 "2",4717.96,4695.86,4665.89 "3",4744.68,4737.36,4747.84 "oneDNN 2.0 - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",8468.16,8483.62,8488.36 "2",8423.43,8415.98,8441.54 "3",8525.42,8445.37,8455.73 "oneDNN 2.0 - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",4785.65,4721.2,4716.75 "2",4710.58,4708.25,4724.98 "3",4693.63,4736.35,4759.27 "oneDNN 2.0 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",6.85275,6.87616,6.86632 "2",7.138,6.84813,6.84461 "3",8.81119,8.26132,7.90844,8.11871,7.87286,8.20979,8.19118,8.17012,7.99518,9.1612,7.81517,7.78746,8.93755,8.28505,7.82852 "oneDNN 2.0 - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "1",8485.78,8471.43,8510.12 "2",8439.77,8406.14,8394.23 "3",8522.29,8452.91,8472.98 "oneDNN 2.0 - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "1",4714.89,4767.78,4740.79 "2",4746.5,4700.48,4694.3 "3",4788.16,4777.04,4710.69 "oneDNN 2.0 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",6.14916,6.18417,6.1698 "2",6.09287,6.03981,6.05986 "3",6.17025,6.1287,5.95311 "Embree 3.9.0 - Binary: Pathtracer - Model: Crown", Higher Results Are Better "1",4.7342,4.7523,4.7656 "2",4.7416,4.749,4.7362 "3",4.7164,4.7372,4.7138 "Embree 3.9.0 - Binary: Pathtracer ISPC - Model: Crown", Higher Results Are Better "1",5.4033,5.4437,5.3195 "2",5.3355,5.3029,5.4024 "3",5.2329,5.3512,5.4336 "Embree 3.9.0 - Binary: Pathtracer - Model: Asian Dragon", Higher Results Are Better "1",5.5878,5.58,5.574 "2",5.6168,5.5847,5.6403 "3",5.5765,5.5643,5.5681 "Embree 3.9.0 - Binary: Pathtracer - Model: Asian Dragon Obj", Higher Results Are Better "1",5.1823,5.2118,5.2164 "2",5.1906,5.2334,5.2062 "3",5.1769,5.1946,5.1864 "Embree 3.9.0 - Binary: Pathtracer ISPC - Model: Asian Dragon", Higher Results Are Better "1",6.5302,6.5189,6.6494 "2",6.5977,6.7141,6.5751 "3",6.5984,6.5208,6.506 "Embree 3.9.0 - Binary: Pathtracer ISPC - Model: Asian Dragon Obj", Higher Results Are Better "1",5.8933,5.9191,5.8582 "2",5.8917,5.9596,5.9285 "3",5.9252,5.8965,5.833 "Kvazaar 2.0 - Video Input: Bosphorus 4K - Video Preset: Slow", Higher Results Are Better "1",2.16,2.16,2.17 "2",2.16,2.16,2.16 "3",2.16,2.16,2.16 "Kvazaar 2.0 - Video Input: Bosphorus 4K - Video Preset: Medium", Higher Results Are Better "1",2.21,2.21,2.21 "2",2.22,2.22,2.21 "3",2.21,2.21,2.21 "Kvazaar 2.0 - Video Input: Bosphorus 1080p - Video Preset: Slow", Higher Results Are Better "1",9.44,9.48,9.47 "2",9.45,9.46,9.46 "3",9.45,9.43,9.46 "Kvazaar 2.0 - Video Input: Bosphorus 1080p - Video Preset: Medium", Higher Results Are Better "1",9.74,9.73,9.73 "2",9.75,9.74,9.75 "3",9.72,9.74,9.73 "Kvazaar 2.0 - Video Input: Bosphorus 4K - Video Preset: Very Fast", Higher Results Are Better "1",6.07,6.06,6.05 "2",6.08,6.07,6.07 "3",6.07,6.06,6.07 "Kvazaar 2.0 - Video Input: Bosphorus 4K - Video Preset: Ultra Fast", Higher Results Are Better "1",11,10.96,10.97 "2",10.94,10.98,10.97 "3",11.01,10.96,11.02 "Kvazaar 2.0 - Video Input: Bosphorus 1080p - Video Preset: Very Fast", Higher Results Are Better "1",24.59,24.6,24.53 "2",24.55,24.57,24.57 "3",24.57,24.61,24.61 "Kvazaar 2.0 - Video Input: Bosphorus 1080p - Video Preset: Ultra Fast", Higher Results Are Better "1",43.56,43.35,43.39 "2",43.59,43.65,43.79 "3",43.61,43.71,43.51 "rav1e 0.4 Alpha - Speed: 1", Higher Results Are Better "1",0.251,0.261,0.254 "2",0.255,0.26,0.268 "3",0.255,0.263,0.26 "rav1e 0.4 Alpha - Speed: 5", Higher Results Are Better "1",0.837,0.827,0.819 "2",0.808,0.813,0.849 "3",0.803,0.823,0.817 "rav1e 0.4 Alpha - Speed: 6", Higher Results Are Better "1",1.055,1.074,1.092 "2",1.111,1.099,1.113 "3",1.089,1.054,1.095 "rav1e 0.4 Alpha - Speed: 10", Higher Results Are Better "1",2.527,2.526,2.49 "2",2.673,2.52,2.593 "3",2.523,2.558,2.575 "x265 3.4 - Video Input: Bosphorus 4K", Higher Results Are Better "1",6.57,6.51,6.56 "2",6.61,6.52,6.63 "3",6.53,6.51,6.63 "x265 3.4 - Video Input: Bosphorus 1080p", Higher Results Are Better "1",29.79,30.03,30.01 "2",30.4,30.19,29.9 "3",29.88,29.78,30.01 "Coremark 1.0 - CoreMark Size 666 - Iterations Per Second", Higher Results Are Better "1",159481.684525,159976.003599,160417.084419 "2",156916.589026,160666.767083,160120.090068 "3",161127.895267,161379.797267,161477.519302 "Stockfish 12 - Total Time", Higher Results Are Better "1",7958491,7937181,8074663 "2",7897788,8083948,7977124 "3",7822180,8119963,7814253 "asmFish 2018-07-23 - 1024 Hash Memory, 26 Depth", Higher Results Are Better "1",12377481,12067419,12302584 "2",12372494,12019075,12373349 "3",12099299,12547867,12281293 "Timed FFmpeg Compilation 4.2.2 - Time To Compile", Lower Results Are Better "1",124.987,124.65,124.857 "2",126.934,125.005,125.439 "3",126.361,125.069,125.619 "Build2 0.13 - Time To Compile", Lower Results Are Better "1",251.225,254.717,251.427 "2",247.974,251.735,251.084 "3",252.309,252.562,259.072 "Numpy Benchmark - ", Higher Results Are Better "1",313.64,313.91,313.5 "2",314.94,312.81,313.33 "3",316.82,316.32,315.61 "eSpeak-NG Speech Engine 20200907 - Text-To-Speech Synthesis", Lower Results Are Better "1",31.557,51.175,49.746,50.005,50.177,52.2,51.503,51.142,50.288,50.151,52.136,49.973,51.778,52.279,50.569,51.043 "2",39.859,52.544,52.151,55.523,54.328,55.475,54.143,54.14,51.353,51.402,50.5,51.935,50.009,49.727,50.21,51.936,49.7 "3",51.953,50.288,51.627,50.984 "Node.js V8 Web Tooling Benchmark - ", Higher Results Are Better "1",11.04,10.92,11.22 "2",11.29,11.29,11.24 "3",11.23,11.29,11.14 "GROMACS 2020.3 - Water Benchmark", Higher Results Are Better "1",0.409,0.42,0.402 "2",0.409,0.411,0.418 "3",0.393,0.409,0.42,0.411 "ASTC Encoder 2.0 - Preset: Fast", Lower Results Are Better "1",7.65,7.67,7.64 "2",7.68,7.73,7.69 "3",7.72,7.66,7.72 "ASTC Encoder 2.0 - Preset: Medium", Lower Results Are Better "1",10.39,10.4,10.39 "2",10.39,10.39,10.4 "3",10.39,10.39,10.39 "ASTC Encoder 2.0 - Preset: Thorough", Lower Results Are Better "1",69.56,69.56,69.59 "2",69.58,69.63,69.61 "3",69.6,69.59,69.63 "ASTC Encoder 2.0 - Preset: Exhaustive", Lower Results Are Better "1",567.95,568.28,568.1 "2",567.64,567.41,567.62 "3",568.37,568.32,567.59 "Basis Universal 1.12 - Settings: ETC1S", Lower Results Are Better "1",72.739,74.469,72.962 "2",73.781,72.665,71.412 "3",73.025,72.787,74.025 "Basis Universal 1.12 - Settings: UASTC Level 0", Lower Results Are Better "1",10.497,10.756,10.486 "2",11.028,10.499,10.64 "3",10.53,10.47,10.484 "Basis Universal 1.12 - Settings: UASTC Level 2", Lower Results Are Better "1",74.35,74.386,74.426 "2",74.093,74.37,74.282 "3",74.092,74.374,74.846 "Basis Universal 1.12 - Settings: UASTC Level 3", Lower Results Are Better "1",145.653,145.864,146.136 "2",145.361,146.315,145.705 "3",145.929,145.749,145.931 "Basis Universal 1.12 - Settings: UASTC Level 2 + RDO Post-Processing", Lower Results Are Better "1",943.622,944.872,947.931 "2",954.747,948.456,945.011 "3",962.265,944.662,1003.841,977.769 "SQLite Speedtest 3.30 - Timed Time - Size 1,000", Lower Results Are Better "1",68.904,69.653,69.682 "2",69.63,70.047,69.902 "3",70.081,71.674,70.031 "Redis 6.0.9 - Test: LPOP", Higher Results Are Better "1",2625091.75,2754909,2681994.75 "2",1637132.62,1436827.62,1683609.5,1628925,1695512,1653368.5,1681263.75,1686772.38,1650534.62,1402793.88,1686610.5,1389200,2645502.75 "3",1697901.62,1689567.5,1697792.88 "Redis 6.0.9 - Test: SADD", Higher Results Are Better "1",2141327.5,2146266.25,1745256.5,2164640.75,2160449.25,2118711.75,2169614,2146128.75,2155793.25,2146334.75,2132605.5,2128068 "2",2146128.75,2123685.75,2150950.5 "3",2109772,2146128.75,1751313.5,2169266.75,2141396,2096905.62,2070923.38,2141464.75,2164571.25,2173913,2096637.38,2146403.5,2155241.5 "Redis 6.0.9 - Test: LPUSH", Higher Results Are Better "1",1670036.75,1223990.25,1628664.38,1639711.38,1639449.12,1642509,1656106,1652998.25,1645210.62,1661661.12,1644789.5,1636870.75 "2",1642298.75,1560411.88,1358869.62,1623792.25,1642193.62,1686448.62,1661448.5,1647657.38,1653209.88,1644736.88,1631582.5,1610615.12,1675417.12,1644789.5,1658746.25 "3",1653262.75,1666986.62,1647657.38 "Redis 6.0.9 - Test: GET", Higher Results Are Better "1",2598400,2518891.5,2299292,2564430.75,2610966.25,2590673.5,2584227.5,2538558.5,2506907.25,2531969.5,2577732,2558281.25,2545180.5 "2",2381257.25,2188394,2369744.25,2325655.75,2381790.5,2325804.5,2404307.75,2337196.25 "3",2381028.75,1786457.12,2387093,2337271,2325879,2386711.25,2353317.5,2370350.75,2398158.25,2342145.25,2375449,2326251 "Redis 6.0.9 - Test: SET", Higher Results Are Better "1",1825051.12,1912107.12,1916321.75 "2",1938046.62,1908885.5,1494863.88,1908397,1364474.75,1930625.5,1894060.62,1776426.25,1957009.88,1961349,1957072.5,1848606.25,1727115.75,1927275.5,1538855.5 "3",1941747.62,1866149.25,1941747.62 "NCNN 20201218 - Target: CPU - Model: mobilenet", Lower Results Are Better "1",30.94,31.78,31.68 "2",32.17,32.22,32.27 "3",31.9,31.62,31.39 "NCNN 20201218 - Target: CPU-v2-v2 - Model: mobilenet-v2", Lower Results Are Better "1",8.14,8.44,8.17 "2",8.92,9.09,9.07 "3",8.35,8.49,8.79 "NCNN 20201218 - Target: CPU-v3-v3 - Model: mobilenet-v3", Lower Results Are Better "1",6.81,6.98,6.95 "2",7,7.15,7.11 "3",7.04,7.04,7.23 "NCNN 20201218 - Target: CPU - Model: shufflenet-v2", Lower Results Are Better "1",9.4,9.5,9.51 "2",9.37,9.52,9.47 "3",9.45,9.47,9.51 "NCNN 20201218 - Target: CPU - Model: mnasnet", Lower Results Are Better "1",6.68,7,6.82 "2",6.95,7.09,7.08 "3",6.99,6.77,6.76 "NCNN 20201218 - Target: CPU - Model: efficientnet-b0", Lower Results Are Better "1",11.34,11.32,11.17 "2",11.6,11.94,11.87 "3",11.86,11.49,11.46 "NCNN 20201218 - Target: CPU - Model: blazeface", Lower Results Are Better "1",2.62,2.56,2.54 "2",2.63,2.64,2.64 "3",2.54,2.56,2.56 "NCNN 20201218 - Target: CPU - Model: googlenet", Lower Results Are Better "1",23.82,23.77,24.21 "2",24.08,24.25,24.49 "3",23.73,23.97,23.84 "NCNN 20201218 - Target: CPU - Model: vgg16", Lower Results Are Better "1",108.29,110.27,109.24 "2",110.02,112.44,109.92 "3",108.88,108.81,109.2 "NCNN 20201218 - Target: CPU - Model: resnet18", Lower Results Are Better "1",25.65,25.84,25.86 "2",25.93,26.39,26 "3",25.9,25.81,25.62 "NCNN 20201218 - Target: CPU - Model: alexnet", Lower Results Are Better "1",22.39,22.32,22 "2",22.36,22.42,22.5 "3",22.3,22.15,22.31 "NCNN 20201218 - Target: CPU - Model: resnet50", Lower Results Are Better "1",50.57,50.61,50.88 "2",51.68,51.96,51.05 "3",51.78,50.57,52.1 "NCNN 20201218 - Target: CPU - Model: yolov4-tiny", Lower Results Are Better "1",45.51,43.35,43.37 "2",45.14,44.32,45.25 "3",44.15,45.2,44.01 "NCNN 20201218 - Target: CPU - Model: squeezenet_ssd", Lower Results Are Better "1",33.37,33.16,33.14 "2",34,35.71,34 "3",33.99,33.26,33.12 "NCNN 20201218 - Target: CPU - Model: regnety_400m", Lower Results Are Better "1",16.39,16.48,16.31 "2",16.58,16.68,16.49 "3",16.29,16.39,16.68 "NCNN 20201218 - Target: Vulkan GPU - Model: mobilenet", Lower Results Are Better "1",31.24,31.37,31.44 "2",32,32.01,31.28 "3",31.5,31.38,31.7 "NCNN 20201218 - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2", Lower Results Are Better "1",8.31,8.16,8.59 "2",9.09,9.12,9.1 "3",8.52,8.58,8.66 "NCNN 20201218 - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3", Lower Results Are Better "1",7.09,6.95,7.1 "2",7.12,7.18,7.11 "3",7.02,7.1,7.07 "NCNN 20201218 - Target: Vulkan GPU - Model: shufflenet-v2", Lower Results Are Better "1",9.51,9.55,9.5 "2",9.39,9.44,9.51 "3",9.49,9.49,9.48 "NCNN 20201218 - Target: Vulkan GPU - Model: mnasnet", Lower Results Are Better "1",6.81,6.69,6.89 "2",6.78,7.06,7.05 "3",6.91,6.62,6.91 "NCNN 20201218 - Target: Vulkan GPU - Model: efficientnet-b0", Lower Results Are Better "1",11.35,11.36,11.28 "2",11.74,11.56,11.83 "3",11.6,11.51,11.57 "NCNN 20201218 - Target: Vulkan GPU - Model: blazeface", Lower Results Are Better "1",2.63,2.57,2.55 "2",2.53,2.55,17.92 "3",2.64,2.63,2.55 "NCNN 20201218 - Target: Vulkan GPU - Model: googlenet", Lower Results Are Better "1",23.53,23.79,23.57 "2",23.44,23.65,23.51 "3",23.83,24.02,24.07 "NCNN 20201218 - Target: Vulkan GPU - Model: vgg16", Lower Results Are Better "1",109.27,109.12,109.96 "2",109.42,109.35,110.34 "3",109.45,109.15,108.73 "NCNN 20201218 - Target: Vulkan GPU - Model: resnet18", Lower Results Are Better "1",25.28,25.79,26.3 "2",25.99,25.43,26.02 "3",25.17,25.87,26.28 "NCNN 20201218 - Target: Vulkan GPU - Model: alexnet", Lower Results Are Better "1",22.34,22.19,21.9 "2",22.51,22.08,22.64 "3",22.33,22.42,22.09 "NCNN 20201218 - Target: Vulkan GPU - Model: resnet50", Lower Results Are Better "1",52.32,50.67,50.73 "2",78.24,51.86,52.19 "3",52.81,52.48,51.01 "NCNN 20201218 - Target: Vulkan GPU - Model: yolov4-tiny", Lower Results Are Better "1",44.81,46.77,46.93 "2",47.2,44.67,45.54 "3",44.1,44.44,43.93 "NCNN 20201218 - Target: Vulkan GPU - Model: squeezenet_ssd", Lower Results Are Better "1",34.5,33.59,33.21 "2",34.64,33.69,34.22 "3",34.05,34.03,34.45 "NCNN 20201218 - Target: Vulkan GPU - Model: regnety_400m", Lower Results Are Better "1",16.5,16.43,16.77 "2",16.68,16.78,18.76 "3",16.55,16.69,16.53 "IndigoBench 4.4 - Acceleration: CPU - Scene: Bedroom", Higher Results Are Better "1",0.753,0.746,0.752 "2",0.755,0.752,0.754 "3",0.752,0.751,0.753 "IndigoBench 4.4 - Acceleration: CPU - Scene: Supercar", Higher Results Are Better "1",1.681,1.678,1.694 "2",1.688,1.684,1.69 "3",1.69,1.694,1.688 "PHPBench 0.8.1 - PHP Benchmark Suite", Higher Results Are Better "1",710592,710875,709411 "2",711574,712612,705710 "3",710685,708763,708398 "Sunflow Rendering System 0.07.2 - Global Illumination + Image Synthesis", Lower Results Are Better "1",2.303,2.272,2.265 "2",2.305,2.255,2.319 "3",2.294,2.376,2.317 "BRL-CAD 7.30.8 - VGR Performance Metric", Higher Results Are Better "1", "2", "3", "CLOMP 1.2 - Static OMP Speedup", Higher Results Are Better "1",1,1.5,1.5,1.2,1.5,1.2,1.2,1.2,1.2,1.2,1.2,1.2 "2",1,1.4,1,1,1,1.2,1,1,1,1.5,1,1.2 "3",1.2,1.4,1.2,1.2,1.2,1.2,1.3,1.4,1.4,1.5,1.2,1.2 "Timed Eigen Compilation 3.3.9 - Time To Compile", Lower Results Are Better "1",70.664,70.741,70.578 "2",71.138,70.499,70.555 "3",70.634,70.527,70.642 "Monkey Audio Encoding 3.99.6 - WAV To APE", Lower Results Are Better "1",12.258,12.186,12.18,12.149,12.168 "2",12.354,12.226,12.2,12.144,12.289 "3",12.448,12.157,12.16,12.162,12.157 "WavPack Audio Encoding 5.3 - WAV To WavPack", Lower Results Are Better "1",13.736,13.717,13.888,13.883,13.745 "2",13.729,13.717,13.722,13.728,13.736 "3",13.718,13.727,13.72,13.732,13.724