core-i7-8086k-2021 , "OpenFOAM 8 - Input: Motorbike 60M", Lower Results Are Better "1",1216.82,1219.6,1219.15 "2",1220.06,1219.72,1219.11 "3",1218.52,1221.26,1219.84 "4",1217.4,1221.04,1219.41 "WebP2 Image Encode 20210126 - Encode Settings: Quality 100, Lossless Compression", Lower Results Are Better "1",1173.256,1173.119,1173.039 "2",1174.635,1176.086,1174.539 "3",1173.75,1173.218,1174.191 "4",1174.202,1173.815,1175.764 "WebP2 Image Encode 20210126 - Encode Settings: Quality 95, Compression Effort 7", Lower Results Are Better "1",600.846,597.999,602.911 "2",599.643,600.799,600.729 "3",598.07,597.833,596.577 "4",598.733,600.381,595.715 "CP2K Molecular Dynamics 8.1 - Fayalite-FIST Data", Lower Results Are Better "1", "2", "3", "4", "WebP2 Image Encode 20210126 - Encode Settings: Quality 75, Compression Effort 7", Lower Results Are Better "1",323.468,326.713,325.314 "2",325.532,325.398,323.73 "3",327.674,324.43,325.139 "4",325.075,326.943,324.85 "OpenFOAM 8 - Input: Motorbike 30M", Lower Results Are Better "1",273.13,273.81,273.54 "2",273.4,273.36,273.2 "3",274.21,274.78,274.15 "4",274.85,274.52,274.63 "JPEG XL 0.3.1 - Input: PNG - Encode Speed: 8", Higher Results Are Better "1",0.86,0.86,0.86 "2",0.87,0.86,0.87 "3",0.87,0.87,0.87 "4",0.87,0.87,0.87 "NAS Parallel Benchmarks 3.4 - Test / Class: EP.D", Higher Results Are Better "1",945.59,945.95,945.9 "2",949.53,948.72,950.83 "3",946.33,948.51,942.56 "4",949.15,950.5,876.5,877.11,945.9,899.45,946.35,948.73,949.45,899.98,950.25,948.81 "GROMACS 2021 - Input: water_GMX50_bare", Higher Results Are Better "1",0.779,0.782,0.782 "2",0.783,0.781,0.778 "3",0.785,0.784,0.776 "4",0.779,0.784,0.778 "Timed Godot Game Engine Compilation 3.2.3 - Time To Compile", Lower Results Are Better "1",184.652,184.493,183.631 "2",184.475,184.418,183.871 "3",184.878,184.109,184.086 "4",184.637,184.25,184.353 "Gcrypt Library 1.9 - ", Lower Results Are Better "1",179.12,180.479,179.875 "2",179.627,178.478,179.559 "3",178.994,180.197,178.45 "4",179.151,179.25,178.781 "CloverLeaf - Lagrangian-Eulerian Hydrodynamics", Lower Results Are Better "1",171.64240288734,171.54639101028,171.50556993484 "2",171.42179512978,171.42309594154,171.17536187172 "3",171.21897697449,170.9669649601,170.95305109024 "4",171.7699611187,171.55355000496,171.42839288712 "dav1d 0.8.1 - Video Input: Chimera 1080p 10-bit", Higher Results Are Better "1",98.52,98.5,98.45 "2",98.57,98.66,98.28 "3",98.26,98.52,98.46 "4",98.4,98.22,97.96 "VKMark 2020-05-21 - Resolution: 1920 x 1080", Higher Results Are Better "1", "2",707,716,709 "3",708,709,703 "4",708,713,707 "ONNX Runtime 1.6 - Model: fcn-resnet101-11 - Device: OpenMP CPU", Higher Results Are Better "1",61.5,61.5,62 "2",61.5,61.5,61.5 "3",62,62,61.5 "4",62,61.5,61.5 "ONNX Runtime 1.6 - Model: bertsquad-10 - Device: OpenMP CPU", Higher Results Are Better "1",563,564.5,564.5 "2",559.5,564,563 "3",560,562,562.5 "4",559,560,561.5 "ONNX Runtime 1.6 - Model: yolov4 - Device: OpenMP CPU", Higher Results Are Better "1",350,352,353 "2",351,349,353.5 "3",350.5,351,352.5 "4",351.5,350,352 "ONNX Runtime 1.6 - Model: shufflenet-v2-10 - Device: OpenMP CPU", Higher Results Are Better "1",16482.5,16453,16472.5 "2",16574.5,16528,16528.5 "3",16574,16440.5,16434 "4",16547.5,16508,16565.5 "ONNX Runtime 1.6 - Model: super-resolution-10 - Device: OpenMP CPU", Higher Results Are Better "1",4708.5,4681,4699 "2",4705,4734,4735 "3",4684,4653.5,4677 "4",4711,4697,4711 "Ngspice 34 - Circuit: C2670", Lower Results Are Better "1",108.503,109.252,108.897 "2",106.789,109.151,109.046 "3",106.442,107.469,107.59 "4",108.405,106.912,106.705 "Mobile Neural Network 1.1.1 - Model: inception-v3", Lower Results Are Better "1",43.394,43.48,43.272 "2",43.664,42.956,42.784 "3",43.142,43.326,43.464 "4",43.324,43.651,43.38 "Mobile Neural Network 1.1.1 - Model: mobilenet-v1-1.0", Lower Results Are Better "1",3.849,3.829,3.822 "2",3.853,3.857,3.884 "3",3.813,3.88,3.886 "4",3.857,3.845,3.848 "Mobile Neural Network 1.1.1 - Model: MobileNetV2_224", Lower Results Are Better "1",3.239,3.203,3.203 "2",3.266,3.201,3.209 "3",3.11,3.158,3.251 "4",3.215,3.299,3.243 "Mobile Neural Network 1.1.1 - Model: resnet-v2-50", Lower Results Are Better "1",41.002,40.827,40.843 "2",40.815,40.605,40.491 "3",40.636,40.855,40.92 "4",40.74,40.786,40.892 "Mobile Neural Network 1.1.1 - Model: SqueezeNetV1.0", Lower Results Are Better "1",5.533,5.462,5.528 "2",5.507,5.51,5.549 "3",5.456,5.522,5.585 "4",5.505,5.519,5.556 "Pennant 1.0.1 - Test: sedovbig", Lower Results Are Better "1",105.335,105.395,105.472 "2",105.5032,105.49,105.4188 "3",105.7133,106.047,105.6852 "4",105.8871,105.7236,105.7367 "JPEG XL 0.3.1 - Input: PNG - Encode Speed: 7", Higher Results Are Better "1",9.73,9.68,9.74 "2",9.64,9.73,9.68 "3",9.7,9.56,9.69 "4",9.65,9.59,9.7 "Kripke 1.2.4 - ", Higher Results Are Better "1",36180830,36251790,36561550 "2",36151450,36565610,36235820 "3",35980170,36192960,36352160 "4",35913410,36274890,36234850 "Ngspice 34 - Circuit: C7552", Lower Results Are Better "1",90.18,89.59,90.631 "2",90.249,89.697,90.544 "3",88.741,90.057,90.39 "4",88.785,87.211,88.843 "NAS Parallel Benchmarks 3.4 - Test / Class: LU.C", Higher Results Are Better "1",24222.54,24255.42,24228.4 "2",24283.13,24264.26,24127 "3",24199.61,24204.76,24225.95 "4",24224.43,24214.56,24188.25 "oneDNN 2.0 - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU", Lower Results Are Better "1a",4028.61,4020.67,4025.07 "2",4021.62,4025.94,4027.73 "3",4029.74,4032.15,4027.73 "4",4032.22,4030.11,4033.88 "oneDNN 2.0 - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "1a",4023.24,4025.76,4027.11 "2",4028.16,4020.4,4022.45 "3",4027.12,4029.49,4035.07 "4",4029.3,4028.89,4033.28 "oneDNN 2.0 - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1a",4026.35,4025.39,4026.07 "2",4023.83,4026.61,4019.83 "3",4024.99,4033.12,4026.47 "4",4027.98,4030.24,4026.32 "Warsow 2.5 Beta - Resolution: 1920 x 1080", Higher Results Are Better "1",83.7,85,85.2 "2",85.3,85.6,85.4 "3",85.1,85.4,85.7 "4",85.5,85.3,85.7 "oneDNN 2.0 - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",2221.43,2230.53,2218.42 "2",2247.43,2264.59,2252.61 "1a",2221,2220.86,2227.06 "3",2262.98,2253.58,2252.71 "4",2252.64,2248.97,2260.84 "oneDNN 2.0 - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",2230.42,2227.6,2233.12 "2",2247.75,2251.06,2247.17 "1a",2217.79,2212.76,2217.45 "3",2247.87,2254.13,2249.02 "4",2252.82,2259.58,2248.26 "oneDNN 2.0 - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "1",2216.57,2213.39,2232.53 "2",2253.7,2257.76,2256.34 "1a",2228.33,2211.59,2221.07 "3",2255.59,2255.47,2250.54 "4",2254.52,2257.56,2257.68 "Chaos Group V-RAY 5 - Mode: CPU", Higher Results Are Better "1",7455,7480,7514 "2",7518,7422,7447 "3",7384,7497,7455 "4",7505,7472,7363 "Pennant 1.0.1 - Test: leblancbig", Lower Results Are Better "1",68.27277,68.26199,68.11756 "2",68.27892,68.29362,68.42979 "3",68.60071,68.38357,68.49957 "4",68.65816,68.51255,68.31662 "toyBrot Fractal Generator 2020-11-18 - Implementation: C++ Tasks", Lower Results Are Better "1",61962,62003,61962 "2",61900,62182,62218 "3",61922,62133,61971 "4",62334,61905,62077 "toyBrot Fractal Generator 2020-11-18 - Implementation: C++ Threads", Lower Results Are Better "1",61831,61819,61864 "2",61823,61916,61894 "3",61800,61939,61912 "4",61852,61945,61844 "toyBrot Fractal Generator 2020-11-18 - Implementation: OpenMP", Lower Results Are Better "1",61747,61729,61729 "2",61726,61726,61731 "3",61738,61736,61725 "4",61744,61756,61728 "GnuPG 2.2.27 - 2.7GB Sample File Encryption", Lower Results Are Better "1",61.628,60.378,60.26 "2",60.459,60.263,60.139 "3",60.513,60.685,60.521 "4",60.525,60.311,60.409 "JPEG XL Decoding 0.3.1 - CPU Threads: 1", Higher Results Are Better "1",46.3,46.16,46.14 "2",45.92,45.98,46.02 "3",45.79,45.82,45.92 "4",45.78,45.8,45.81 "ASKAP 1.0 - Test: tConvolve MT - Degridding", Higher Results Are Better "1",2013.28,2018.37,2024.76 "2",2015.82,2013.28,2022.2 "3",2013.28,2015.82,2024.76 "4",2012.01,2012.01,2012.01 "ASKAP 1.0 - Test: tConvolve MT - Gridding", Higher Results Are Better "1",1146.01,1144.78,1144.37 "2",1144.37,1144.37,1144.78 "3",1144.78,1143.96,1144.37 "4",1141.91,1141.91,1141.91 "JPEG XL Decoding 0.3.1 - CPU Threads: All", Higher Results Are Better "1",181.51,181.53,181.55 "2",178.62,178.38,178.4 "3",177.72,177.84,177.78 "4",178.02,177.66,177.68 "rav1e 0.4 - Speed: 5", Higher Results Are Better "1",1.339,1.328,1.322 "2",1.306,1.305,1.321 "3",1.316,1.317,1.323 "4",1.322,1.323,1.333 "rav1e 0.4 - Speed: 1", Higher Results Are Better "1",0.464,0.465,0.464 "2",0.464,0.464,0.465 "3",0.462,0.465,0.463 "4",0.464,0.466,0.463 "Cryptsetup - Twofish-XTS 512b Decryption", Higher Results Are Better "1",506.7,506.9 "2",507,506.1,506.4 "3",505.4,506.2,506.9 "4",506.9,506,507.4 "Cryptsetup - Twofish-XTS 512b Encryption", Higher Results Are Better "1",503.6,503.4,503.7 "2",503.8,502.9,501.6 "3",503.1,503.4,503.6 "4",503.7,502.9,504.1 "Cryptsetup - Serpent-XTS 512b Decryption", Higher Results Are Better "1",925.5,923.4,925.1 "2",926,924.1,923.3 "3",926.9,926.3,923.1 "4",924.7,923 "Cryptsetup - Serpent-XTS 512b Encryption", Higher Results Are Better "1",907.6,909,908.3 "2",907.4,906.3,905.9 "3",905.1,908.7,908.7 "4",909.1,905.9,907.9 "Cryptsetup - AES-XTS 512b Decryption", Higher Results Are Better "1",2349.2,2358.7,2361 "2",2370.3,2354.3,2353.5 "3",2356.2,2359.8,2358.3 "4",2362.4,2347.1,2369.2 "Cryptsetup - AES-XTS 512b Encryption", Higher Results Are Better "1",2358.8,2357.2,2358.7 "2",2362.8,2352.8,2351.7 "3",2354.2,2356.1,2356.5 "4",2360.4,2347.4,2366.1 "Cryptsetup - Twofish-XTS 256b Decryption", Higher Results Are Better "1",507.1,507.2,507.2 "2",507.3,506.4,506.2 "3",507.1,507.1,507.3 "4",507.3,506.5,507.7 "Cryptsetup - Twofish-XTS 256b Encryption", Higher Results Are Better "1",500.4,503.7,503.8 "2",503.9,503.3,501.7 "3",503.7,503.8,503.9 "4",504.1,503,504.2 "Cryptsetup - Serpent-XTS 256b Decryption", Higher Results Are Better "1",926,924.4,925.7 "2",926.7,923.4,925.4 "3",927.1,926.5,924.1 "4",924.9,923.7,925.4 "Cryptsetup - Serpent-XTS 256b Encryption", Higher Results Are Better "1",903.9,907.4,908.5 "2",908.8,906.7,907.6 "3",909.2,908,909.6 "4",909,906.6,909.4 "Cryptsetup - AES-XTS 256b Decryption", Higher Results Are Better "1",2633.5,2636.9,2632.3 "2",2631.6,2631.5,2629 "3",2629.2,2636.9,2634.4 "4",2643.4,2623.9,2640.7 "Cryptsetup - AES-XTS 256b Encryption", Higher Results Are Better "1",2604.8,2626.7,2619.7 "2",2620.4,2622.9,2619.9 "3",2612.5,2617,2623.1 "4",2619,2605.9,2635.6 "Cryptsetup - PBKDF2-whirlpool", Higher Results Are Better "1",853889,856679,856679 "2", "3", "4",853889,856679,856679 "Cryptsetup - PBKDF2-sha512", Higher Results Are Better "1", "2",1971007,1974719,1974719 "3",1978445,1974719,1971007 "4", "lzbench 1.8 - Test: XZ 0 - Process: Decompression", Higher Results Are Better "1", "2", "3", "4",133,134,134 "lzbench 1.8 - Test: XZ 0 - Process: Compression", Higher Results Are Better "1", "2", "3", "4", "rav1e 0.4 - Speed: 6", Higher Results Are Better "1",1.748,1.709,1.737 "2",1.731,1.758,1.736 "3",1.739,1.749,1.731 "4",1.713,1.74,1.737 "ParaView 5.9 - Test: Wavelet Volume - Resolution: 1920 x 1080", Higher Results Are Better "1",377.427,377.827,378.097 "2",377.311,378.371,378.521 "3",378.581,376.556,377.692 "4",378.156,377.947,377.74 "ParaView 5.9 - Test: Wavelet Volume - Resolution: 1920 x 1080", Higher Results Are Better "1",23.59,23.61,23.63 "2",23.58,23.65,23.66 "3",23.66,23.53,23.61 "4",23.63,23.62,23.61 "Google SynthMark 20201109 - Test: VoiceMark_100", Higher Results Are Better "1",783.893,783.145,782.718 "2",782.949,782.814,773.143 "3",783.329,782.408,782.004 "4",781.835,782.322,782.866 "lzbench 1.8 - Test: Zstd 8 - Process: Decompression", Higher Results Are Better "1",2239,2252,2251 "2", "3",2251,2253,2236 "4",2245,2267,2257 "lzbench 1.8 - Test: Zstd 8 - Process: Compression", Higher Results Are Better "1", "2", "3", "4",107,109,108 "ASKAP 1.0 - Test: tConvolve MPI - Gridding", Higher Results Are Better "2",1948.48,1910.65,1929.38 "3",1910.65,1929.38 "4",1929.38,1929.38,1910.65 "ASKAP 1.0 - Test: tConvolve MPI - Degridding", Higher Results Are Better "1",1967.97,1967.97,1967.97 "2",1967.97,1948.48,1948.48 "3",1948.48,1948.48,1948.48 "4",1967.97,1948.48,1929.38 "dav1d 0.8.1 - Video Input: Summer Nature 4K", Higher Results Are Better "1",139.47,139.23,139.19 "2",139.52,139.44,139.41 "3",138.79,139.39,139.07 "4",139.13,138.74,139.05 "QMCPACK 3.10 - Input: simple-H2O", Lower Results Are Better "1",25.555,25.684,25.852 "2",25.756,25.683,26.149 "3",25.247,25.718,25.592 "4",25.594,25.886,26.327 "lzbench 1.8 - Test: Crush 0 - Process: Decompression", Higher Results Are Better "1", "2", "3", "4", "lzbench 1.8 - Test: Crush 0 - Process: Compression", Higher Results Are Better "1", "2",130,127,127 "3",129,128,128 "4", "Redis 6.0.9 - Test: SADD", Higher Results Are Better "1",2665964.25,2660282,2579413 "2",2666015.5,2630295.5,2629511.5 "3",2608972.75,2627438.75,2666752 "4",2279462,2654657.75,2580086.75,2615129.75,2671859,2650504,2664535,2632297,2622607,2590690.25,2661083.75,2610999.5,2666032.5 "QuantLib 1.21 - ", Higher Results Are Better "1",2890.3,2889.9,2915.6 "2",2882.2,2907.7,2913.1 "3",2872.6,2894.9,2859.7 "4",2890.9,2908.1,2906.4 "lzbench 1.8 - Test: Brotli 2 - Process: Decompression", Higher Results Are Better "1", "2", "3", "4",840,842,842 "lzbench 1.8 - Test: Brotli 2 - Process: Compression", Higher Results Are Better "1", "2",224,222,223 "3", "4", "ParaView 5.9 - Test: Wavelet Contour - Resolution: 1920 x 1080", Higher Results Are Better "1",398.51,396.605,395.042 "2",397.219,397.523,395.631 "3",395.598,396.106,395.163 "4",398.417,396.202,395.348 "ParaView 5.9 - Test: Wavelet Contour - Resolution: 1920 x 1080", Higher Results Are Better "1",38.24,38.06,37.91 "2",38.12,38.15,37.96 "3",37.96,38.01,37.92 "4",38.23,38.02,37.94 "rav1e 0.4 - Speed: 10", Higher Results Are Better "1",3.848,3.859,3.91 "2",3.852,3.662,3.837 "3",3.925,3.844,3.92 "4",3.813,3.849,3.86 "JPEG XL 0.3.1 - Input: PNG - Encode Speed: 5", Higher Results Are Better "1",58.66,58.83,58.5 "2",58.43,58.49,58.35 "3",57.99,58.51,58.63 "4",58.24,58.71,58.32 "lzbench 1.8 - Test: Brotli 0 - Process: Decompression", Higher Results Are Better "1",728,728,725 "2",729,722,726 "3", "4",730,728,728 "lzbench 1.8 - Test: Brotli 0 - Process: Compression", Higher Results Are Better "1",523,523,519 "2", "3",527,524,524 "4", "Etcpak 0.7 - Configuration: ETC2", Higher Results Are Better "1",213.11,213.07,213.133 "2",213.01,212.891,213.006 "3",213.021,212.957,211.724 "4",212.985,212.977,212.991 "lzbench 1.8 - Test: Zstd 1 - Process: Decompression", Higher Results Are Better "1",2058,2049,2059 "2",2056,2058,2058 "3",2059,2059,2022 "4",2063,2060,2058 "lzbench 1.8 - Test: Zstd 1 - Process: Compression", Higher Results Are Better "1",593,593,591 "2", "3",587,587,590 "4", "dav1d 0.8.1 - Video Input: Chimera 1080p", Higher Results Are Better "1",532.04,533.09,530.98 "2",525.18,526.93,528.81 "3",528.34,527.72,527.48 "4",527.89,525.9,527.85 "lzbench 1.8 - Test: Libdeflate 1 - Process: Decompression", Higher Results Are Better "1",1294,1296,1294 "2",1295,1294,1294 "3",1296,1294,1295 "4",1296,1295,1295 "lzbench 1.8 - Test: Libdeflate 1 - Process: Compression", Higher Results Are Better "1",265,267,266 "2",266,263,267 "3",262,267,266 "4",264,267,264 "Unpacking Firefox 84.0 - Extracting: firefox-84.0.source.tar.xz", Lower Results Are Better "1",16.911,16.799,16.684,16.761 "2",16.947,16.772,16.731,16.686 "3",17.034,16.877,16.818,16.764 "4",16.932,16.854,16.834,16.838 "JPEG XL 0.3.1 - Input: JPEG - Encode Speed: 5", Higher Results Are Better "1",62.08,61.81,61.29 "2",61.54,60.09,61.45 "3",61.3,60.39,61.27 "4",61.94,61.41,61.36 "WavPack Audio Encoding 5.3 - WAV To WavPack", Lower Results Are Better "1",13.036,13.004,13.003,13.104,13.004 "2",12.991,13.006,13.004,12.999,12.999 "3",13.003,13.005,13.001,13,13.006 "4",13.007,12.999,13,12.998,12.998 "oneDNN 2.0 - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1a",6.75969,6.81679,6.78689 "2",6.9762,6.80099,6.772 "3",6.81234,6.79065,6.78171 "4",6.77122,6.81845,6.97514 "oneDNN 2.0 - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU", Lower Results Are Better "1a",6.32063,6.39391,6.3674 "2",6.41971,6.38665,6.44437 "3",6.3503,6.32686,6.32495 "4",6.32721,6.34609,6.37148 "TNN 0.2.3 - Target: CPU - Model: MobileNet v2", Lower Results Are Better "1",298.43,299.162,298.29 "2",303.072,300.65,299.999 "3",299.462,298.977,300.774 "4",298.515,301.879,299.382 "ASKAP 1.0 - Test: Hogbom Clean OpenMP", Higher Results Are Better "1",189.394,189.753,188.679 "2",189.753,189.036,189.036 "3",189.036,188.324,188.679 "4",187.617,186.567,187.266 "TNN 0.2.3 - Target: CPU - Model: SqueezeNet v1.1", Lower Results Are Better "1",270.561,270.654,270.65 "2",270.946,270.927,270.955 "3",271.235,270.89,270.922 "4",270.968,270.89,271.171 "WebP2 Image Encode 20210126 - Encode Settings: Quality 100, Compression Effort 5", Lower Results Are Better "1",18.392,18.379,18.343 "2",18.344,18.327,18.317 "3",18.368,18.362,18.354 "4",18.396,18.333,18.326 "Redis 6.0.9 - Test: LPUSH", Higher Results Are Better "1",2048006.62,2051282,1923878.38,2038359.5,2057711.88 "2",2068298.62,2040419.5,2068345 "3",2076014.12,2048380.12,2094354.75 "4",2079447.75,2012888.88,2061038.62 "Monkey Audio Encoding 3.99.6 - WAV To APE", Lower Results Are Better "1",9.821,9.852,9.781,9.781,9.79 "2",9.844,9.862,9.783,9.785,9.798 "3",9.846,9.785,9.821,9.785,9.764 "4",9.847,9.84,9.808,9.77,9.858 "JPEG XL 0.3.1 - Input: JPEG - Encode Speed: 7", Higher Results Are Better "1",61.86,61.35,61.57 "2",62.02,61.54,60.45 "3",61.2,61.19,60.9 "4",60.77,61.5,61.05 "oneDNN 2.0 - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU", Lower Results Are Better "1a",4.48631,4.53402,4.50228 "2",4.51059,4.48331,4.50914 "3",4.62761,4.64424,4.6292 "4",4.59901,4.59902,4.60888 "oneDNN 2.0 - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1a",2.1428,2.14461,2.14084 "2",2.13641,2.1459,2.14232 "3",2.13947,2.14096,2.14617 "4",2.14378,2.14139,2.13928 "Redis 6.0.9 - Test: LPOP", Higher Results Are Better "1",3346773.75,3285266.75,3337805 "2",2064462.5,2101369.25,2091188.62 "3",2091262.25,2113772.25,2007693.25 "4",2098636,2126754.5,2103934.5 "Redis 6.0.9 - Test: SET", Higher Results Are Better "1",2363552.75,2349706.75,2394147 "2",2321262.75,2349631.5,2355788 "3",2353510,2395224.75,2382707.75 "4",2390103.25,2388345,2378694.5 "ASKAP 1.0 - Test: tConvolve OpenMP - Degridding", Higher Results Are Better "1",2218.8,2218.8,2218.8 "2",2237.45,2218.8,2218.8,2237.45,2218.8 "3",2218.8,2237.45,2218.8 "4",2315.27,2315.27,2335.58 "ASKAP 1.0 - Test: tConvolve OpenMP - Gridding", Higher Results Are Better "1",1267.89,1238.4,1238.4 "2",1292.5,1232.67,1204.78,1226.99,1221.36 "3",1255.92,1238.4,1226.99 "4",1305.18,1351.55,1311.61 "Etcpak 0.7 - Configuration: ETC1 + Dithering", Higher Results Are Better "1",357.595,356.999,357.403 "2",357.75,357.398,357.409 "3",350.483,357.382,356.936 "4",356.226,357.116,357.388 "Redis 6.0.9 - Test: GET", Higher Results Are Better "1",3156676.75,3158640.75,3100884.5 "2",2820874.5,2936108.25,2967473 "3",2953365.75,2900297,2930039.25 "4",2900241.25,2902767,2956906 "Algebraic Multi-Grid Benchmark 1.2 - ", Higher Results Are Better "1",249603600,250493400,250639900 "2",248897700,250854100,250604800 "3",246388700,250224700,250218800 "4",245672300,250328700,250115300 "Etcpak 0.7 - Configuration: ETC1", Higher Results Are Better "1",373.634,375.534,375.158 "2",375.458,375.64,370.188 "3",373.739,375.235,373.564 "4",375.047,375.422,375.552 "Opus Codec Encoding 1.3.1 - WAV To Opus Encode", Lower Results Are Better "1",7.703,7.669,7.647,7.653,7.652 "2",7.718,7.682,7.655,7.66,7.657 "3",7.728,7.685,7.667,7.663,7.669 "4",7.711,7.667,7.657,7.65,7.652 "oneDNN 2.0 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU", Lower Results Are Better "1a",3.60426,3.62777,3.62249 "2",3.62362,3.64817,3.5783 "3",3.92235,3.8992,3.90695 "4",3.87059,3.90053,3.90947 "oneDNN 2.0 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1a",3.92326,3.93535,3.93754 "2",3.92332,3.93826,3.93105 "3",3.93225,3.94314,3.93047 "4",3.9372,3.93622,3.94098 "NAS Parallel Benchmarks 3.4 - Test / Class: EP.C", Higher Results Are Better "1",942.41,941.67,943.5 "2",940.05,937.51,947.04 "3",901.97,945.44,934.77 "4",943.92,948.12,947.7 "oneDNN 2.0 - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1a",2.06581,2.08149,2.06662 "2",2.10263,2.05648,2.15505 "3",2.17984,2.17151,2.19598 "4",2.16169,2.16616,2.1534 "oneDNN 2.0 - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU", Lower Results Are Better "1a",8.26486,8.34928,8.30514 "2",8.23848,8.30225,8.27628 "3",10.2688,10.3338,10.3115 "4",10.4073,10.3721,10.4246 "JPEG XL 0.3.1 - Input: JPEG - Encode Speed: 8", Higher Results Are Better "1",28.95,28.78,28.66 "2",28.85,28.41,28.78 "3",28.79,28.39,28.55 "4",28.23,28.79,28.64 "dav1d 0.8.1 - Video Input: Summer Nature 1080p", Higher Results Are Better "1",486.15,484.32,485.82 "2",485.48,484.27,482.26 "3",479.69,482.98,482.28 "4",482.37,481.51,482.52 "oneDNN 2.0 - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1a",16.7932,16.8932,16.8408 "2",16.7015,16.7697,16.7982 "3",17.8735,17.9059,17.8642 "4",17.8601,17.869,17.8621 "oneDNN 2.0 - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU", Lower Results Are Better "1a",20.0744,20.1071,20.0494 "2",20.054,20.0967,20.0549 "3",20.7413,20.7956,20.726 "4",20.8014,20.7516,20.7523 "WebP2 Image Encode 20210126 - Encode Settings: Default", Lower Results Are Better "1",5.693,5.749,5.736 "2",5.701,5.763,5.693 "3",5.758,5.665,5.711 "4",5.713,5.692,5.723 "LULESH 2.0.3 - ", Higher Results Are Better "1",1586.1573,1583.4877,1587.6602 "2",1571.0979,1569.4585,1571.8339 "3",1573.3806,1572.0947,1571.8537 "4",1573.8117,1568.8469,1575.015 "LAMMPS Molecular Dynamics Simulator 29Oct2020 - Model: Rhodopsin Protein", Higher Results Are Better "1",5.016,5.015,5.055 "2",5.049,5.058,5.041 "3",5.062,5.046,4.993 "4",5.047,4.97,4.972 "Etcpak 0.7 - Configuration: DXT1", Higher Results Are Better "1",1492.352,1503.1,1503.665 "2",1494.489,1493.466,1502.63 "3",1503.1,1491.332,1491.795 "4",1504.985,1503.006,1503.854 "oneDNN 2.0 - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1a",4.22992,4.24881,4.23204 "2",4.2349,4.24829,4.23393 "3",4.25981,4.26588,4.26228 "4",4.25991,4.25267,4.24921 "oneDNN 2.0 - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU", Lower Results Are Better "1a",8.93187,8.92749,8.94835 "2",8.92723,8.88809,8.85804 "3",8.96956,8.98986,8.96079 "4",9.00333,8.94972,9.00962