Ryzen 7 5800X Linux Performance AMD Ryzen 7 5800X initial Linux benchmarks by Michael Larabel for a future article. ,,"Core i5 10600K","Core i9 10900K","Ryzen 5 3600X","Ryzen 7 3800XT","Ryzen 9 3900X","Ryzen 9 3900XT","Ryzen 9 3950X","Ryzen 5 5600X","Ryzen 7 5800X","Ryzen 9 5900X","Ryzen 9 5950X" Processor,,Intel Core i5-10600K @ 4.80GHz (6 Cores / 12 Threads),Intel Core i9-10900K @ 5.30GHz (10 Cores / 20 Threads),AMD Ryzen 5 3600X 6-Core @ 3.80GHz (6 Cores / 12 Threads),AMD Ryzen 7 3800XT 8-Core @ 3.90GHz (8 Cores / 16 Threads),AMD Ryzen 9 3900X 12-Core @ 3.80GHz (12 Cores / 24 Threads),AMD Ryzen 9 3900XT 12-Core @ 3.80GHz (12 Cores / 24 Threads),AMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads),AMD Ryzen 5 5600X 6-Core @ 3.70GHz (6 Cores / 12 Threads),AMD Ryzen 7 5800X 8-Core @ 3.80GHz (8 Cores / 16 Threads),AMD Ryzen 9 5900X 12-Core @ 3.70GHz (12 Cores / 24 Threads),AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads) Motherboard,,Gigabyte Z490 AORUS MASTER (F3 BIOS),Gigabyte Z490 AORUS MASTER (F3 BIOS),ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2206 BIOS),ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2206 BIOS),ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2206 BIOS),ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2206 BIOS),ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2206 BIOS),ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2311 BIOS),ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2311 BIOS),ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2311 BIOS),ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2311 BIOS) Chipset,,Intel Comet Lake PCH,Intel Comet Lake PCH,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse Memory,,16GB,16GB,16GB,16GB,16GB,16GB,16GB,16GB,16GB,16GB,16GB Disk,,2000GB Corsair Force MP600 + 2000GB,2000GB Corsair Force MP600 + 2000GB,2000GB Corsair Force MP600 + 2000GB,2000GB Corsair Force MP600 + 2000GB,2000GB Corsair Force MP600 + 2000GB,2000GB Corsair Force MP600 + 2000GB,2000GB Corsair Force MP600 + 2000GB,2000GB Corsair Force MP600 + 2000GB,2000GB Corsair Force MP600 + 2000GB,2000GB Corsair Force MP600 + 2000GB,2000GB Corsair Force MP600 + 2000GB Graphics,,AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz),AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz),AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz),AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz),AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz),AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz),AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz),AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz),AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz),AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz),AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz) Audio,,AMD Navi 10 HDMI Audio,AMD Navi 10 HDMI Audio,AMD Navi 10 HDMI Audio,AMD Navi 10 HDMI Audio,AMD Navi 10 HDMI Audio,AMD Navi 10 HDMI Audio,AMD Navi 10 HDMI Audio,AMD Navi 10 HDMI Audio,AMD Navi 10 HDMI Audio,AMD Navi 10 HDMI Audio,AMD Navi 10 HDMI Audio Monitor,,ASUS MG28U,ASUS MG28U,ASUS MG28U,ASUS MG28U,ASUS MG28U,ASUS MG28U,ASUS MG28U,ASUS MG28U,ASUS MG28U,ASUS MG28U,ASUS MG28U Network,,,,,,,,,Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200,Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200,, OS,,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04 Kernel,,5.9.0-050900-generic (x86_64),5.9.0-050900-generic (x86_64),5.9.0-050900-generic (x86_64),5.9.0-050900-generic (x86_64),5.9.0-050900-generic (x86_64),5.9.0-050900-generic (x86_64),5.9.0-050900-generic (x86_64),5.9.0-050900-generic (x86_64),5.9.0-050900-generic (x86_64),5.9.0-050900-generic (x86_64),5.9.0-050900-generic (x86_64) Desktop,,GNOME Shell 3.36.4,GNOME Shell 3.36.4,GNOME Shell 3.36.4,GNOME Shell 3.36.4,GNOME Shell 3.36.4,GNOME Shell 3.36.4,GNOME Shell 3.36.4,GNOME Shell 3.36.4,GNOME Shell 3.36.4,GNOME Shell 3.36.4,GNOME Shell 3.36.4 Display Server,,X Server 1.20.8,X Server 1.20.8,X Server 1.20.8,X Server 1.20.8,X Server 1.20.8,X Server 1.20.8,X Server 1.20.8,X Server 1.20.8,X Server 1.20.8,X Server 1.20.8,X Server 1.20.8 Display Driver,,amdgpu 19.1.0,amdgpu 19.1.0,amdgpu 19.1.0,amdgpu 19.1.0,amdgpu 19.1.0,amdgpu 19.1.0,amdgpu 19.1.0,amdgpu 19.1.0,amdgpu 19.1.0,amdgpu 19.1.0,amdgpu 19.1.0 OpenGL,,4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0),4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0),4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0),4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0),4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0),4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0),4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0),4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0),4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0),4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0),4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0) Vulkan,,1.2.145,1.2.145,1.2.145,1.2.145,1.2.145,1.2.145,1.2.145,1.2.145,1.2.145,1.2.145,1.2.145 Compiler,,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0 File-System,,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4 Screen Resolution,,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080 ,,"Core i5 10600K","Core i9 10900K","Ryzen 5 3600X","Ryzen 7 3800XT","Ryzen 9 3900X","Ryzen 9 3900XT","Ryzen 9 3950X","Ryzen 5 5600X","Ryzen 7 5800X","Ryzen 9 5900X","Ryzen 9 5950X" "ACES DGEMM - Sustained Floating-Point Rate (GFLOP/s)",HIB,2.740891,5.303240,2.285211,3.004623,4.167965,4.236534,5.476733,4.019649,5.205028,7.431249,9.065396 "m-queens - Time To Solve (sec)",LIB,108.063,59.606,90.227,65.340,46.740,45.820,33.840,70.744,54.357,37.543,29.547 "John The Ripper - Test: Blowfish (Real C/S)",HIB,13022,23591,10481,14494,20244,20729,28096,16301,21344,30214,38305 "Aircrack-ng - (k/s)",HIB,25302.454,45909.654,22344.148,30745.605,42773.974,43919.307,58788.470,32451.248,44048.295,61777.853,74570.422 "N-Queens - Elapsed Time (sec)",LIB,18.759,10.353,18.012,12.999,9.245,9.068,6.704,13.436,10.272,7.206,5.655 "TensorFlow Lite - Model: Inception ResNet V2 (us)",LIB,3938063,2139593,3356693,2351497,1795013,1761010,1288407,2946000,2159383,1598013,1212237 "TensorFlow Lite - Model: Mobilenet Float (us)",LIB,202481,114230,171301,120735,93903.6,92214.2,66530.3,150133,110856,83458.7,62588.7 "TensorFlow Lite - Model: Inception V4 (us)",LIB,4350823,2372930,3713107,2600840,1999070,1961940,1432403,3267580,2391460,1780380,1346957 "C-Ray - Total Time - 4K, 16 Rays Per Pixel (sec)",LIB,94.601,52.127,82.441,60.023,42.894,42.030,31.326,71.904,54.860,37.783,30.220 "TensorFlow Lite - Model: SqueezeNet (us)",LIB,296354,167595,251199,180202,138101,135602,100527,220801,165819,123127,94678.2 "John The Ripper - Test: MD5 (Real C/S)",HIB,752998,1331333,724083,991599,1366667,1413667,1868000,963686,1297667,1840667,2226000 "OpenVKL - Benchmark: vklBenchmark (Items / Sec)",HIB,114.36,192.75,94.03,128.78,177.75,182.97,236.58,125.94,168.42,233.83,286.17 "ASTC Encoder - Preset: Exhaustive (sec)",LIB,306.90,170.21,274.19,199.87,145.09,140.27,105.63,231.33,170.39,121.94,101.25 "TensorFlow Lite - Model: Mobilenet Quant (us)",LIB,205404,117619,175736,123482,96280.2,94517.0,68497.9,164490,122169,91290.4,67914.5 "YafaRay - Total Time For Sample Scene (sec)",LIB,198.112,109.474,180.782,133.841,103.713,100.553,79.697,146.319,108.674,80.393,66.152 "Rodinia - Test: OpenMP LavaMD (sec)",LIB,306.480,170.152,309.606,226.995,164.705,159.413,120.533,231.621,168.864,123.339,103.616 "ASTC Encoder - Preset: Thorough (sec)",LIB,38.01,21.31,34.37,25.13,18.39,17.81,13.55,28.89,21.37,15.41,12.85 "oneDNN - Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU (ms)",LIB,5.45967,2.96253,6.59016,4.48876,3.26437,3.15304,2.47606,4.92077,3.53951,2.72467,2.27610 "Chaos Group V-RAY - Mode: CPU (Ksamples)",HIB,11261,19765,11409,15422,20910,21517,28416,14310,18824,26420,32561 "Stockfish - Total Time (Nodes/s)",HIB,19653079,35726813,20871771,27808441,38124311,38915395,52407367,24584351,32520319,45601255,56742350 "Smallpt - Global Illumination Renderer; 128 Samples (sec)",LIB,14.204,7.905,13.517,9.847,7.092,6.944,5.200,11.606,8.845,6.160,4.937 "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,9.7946,17.7041,8.3025,11.0482,14.9594,15.2873,19.8746,10.3912,13.8435,19.4679,23.7842 "LuxCoreRender - Scene: DLSC (M samples/sec)",HIB,1.26,2.21,1.33,1.80,2.40,2.50,3.29,1.61,2.11,2.93,3.59 "BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,101498,183810,93929,131827,183744,188522,248077,116652,162272,215925,267071 "Basis Universal - Settings: UASTC Level 3 (sec)",LIB,80.077,46.538,73.825,54.967,41.274,40.666,31.648,60.728,46.741,33.799,28.259 "Embree - Binary: Pathtracer - Model: Crown (FPS)",HIB,8.5744,15.4247,8.6544,11.5679,15.6590,16.0926,21.0440,10.6691,14.1771,19.9229,24.2757 "Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,288.99,162.99,271.38,200.06,146.60,141.23,107.97,233.69,176.14,124.61,102.26 "GraphicsMagick - Operation: Enhanced (Iterations/min)",HIB,150,269,157,215,298,301,407,176,228,330,420 "Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,631.26,352.16,596.32,433.37,317.03,303.72,230.94,525.71,396.77,277.96,226.15 "Tachyon - Total Time (sec)",LIB,120.6398,65.9835,117.5552,87.9410,73.9702,60.1191,46.3723,99.6608,73.4167,52.3579,43.4626 "Rodinia - Test: OpenMP CFD Solver (sec)",LIB,28.486,18.343,27.160,22.290,13.597,13.294,10.819,21.283,17.104,12.172,10.267 "asmFish - 1024 Hash Memory, 26 Depth (Nodes/s)",HIB,22294478,40392459,21747154,29158077,38836873,40082309,52929484,27275192,35098629,49348712,59943519 "Tungsten Renderer - Scene: Non-Exponential (sec)",LIB,8.89984,5.14603,10.4378,7.58343,5.80923,5.79338,4.38473,7.46449,5.69163,4.68310,3.78827 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Slow (FPS)",HIB,3.93,6.80,4.50,5.96,7.37,7.56,10.26,5.16,6.79,8.47,10.80 "LuxCoreRender - Scene: Rainbow Colors and Prism (M samples/sec)",HIB,1.40,2.46,1.42,1.93,2.64,2.73,3.64,1.67,2.27,3.13,3.81 "Tungsten Renderer - Scene: Volumetric Caustic (sec)",LIB,12.2322,7.00728,13.5114,9.87930,7.42195,7.24960,5.61440,10.2503,7.65881,5.95664,4.96614 "Tungsten Renderer - Scene: Hair (sec)",LIB,35.6785,20.0703,33.1689,24.3744,17.9331,17.3795,13.5383,27.1991,20.4466,15.6794,13.1398 "OpenSSL - RSA 4096-bit Performance (Signs/sec)",HIB,2038.2,3712.3,1806.4,2490.6,3489.8,3551.0,4743.4,2027.3,2636.4,3858.3,4897.3 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Medium (FPS)",HIB,4.04,6.96,4.59,6.07,7.51,7.71,10.40,5.25,6.92,8.60,10.94 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,12.3370,20.4299,9.5120,12.4007,16.5255,16.8323,21.6635,12.1775,15.3152,20.4798,25.5897 "NAMD - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,2.08559,1.23607,2.86995,2.11711,1.54488,1.49526,1.14997,2.37935,1.78164,1.27408,1.07098 "Appleseed - Scene: Emily (sec)",LIB,511.741596,299.905069,470.178012,349.398288,267.066755,259.329077,208.357892,397.237858,305.743507,224.293568,192.180223 "SVT-AV1 - Encoder Mode: Enc Mode 8 - Input: 1080p (FPS)",HIB,21.379,38.233,18.512,28.004,35.947,36.592,43.330,22.596,32.975,43.148,48.712 "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,203.69,114.70,205.38,150.76,111.61,106.80,81.77,178.17,134.54,95.02,78.28 "Embree - Binary: Pathtracer - Model: Asian Dragon (FPS)",HIB,10.0729,17.6307,9.6303,12.5210,16.8430,16.9900,21.8692,11.9231,15.2451,20.3789,25.0722 "Appleseed - Scene: Disney Material (sec)",LIB,305.766269,178.124035,291.011023,214.510759,161.513865,156.530111,119.857197,258.693911,196.741099,142.649626,117.669097 "Basis Universal - Settings: UASTC Level 2 (sec)",LIB,41.399,25.177,38.667,29.322,22.878,22.631,18.304,31.666,24.816,18.715,15.960 "Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,3.401,2.823,3.960,3.375,3.988,4.022,5.716,2.691,2.215,3.058,3.849 "POV-Ray - Trace Time (sec)",LIB,59.339,33.731,58.728,42.767,31.534,30.580,23.510,50.221,37.328,27.417,23.011 "GraphicsMagick - Operation: Resizing (Iterations/min)",HIB,739,1264,760,1031,1432,1415,1829,915,1187,1610,1893 "Appleseed - Scene: Material Tester (sec)",LIB,282.580945,166.409258,265.419862,199.42983,160.127712,155.823422,125.260331,225.904368,171.695815,134.449186,111.389784 "Timed MPlayer Compilation - Time To Compile (sec)",LIB,47.827,29.038,43.900,33.928,25.767,25.063,20.775,38.574,30.527,22.023,19.020 "LAMMPS Molecular Dynamics Simulator - Model: Rhodopsin Protein (ns/day)",HIB,5.293,8.701,5.266,6.880,9.262,9.487,11.541,6.052,7.115,10.719,13.091 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU (FPS)",HIB,5477.65,9817.40,5700.85,7092.34,9125.69,8748.79,12650.24,6222.63,8332.97,10990.54,13518.29 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,5506.56,9817.08,5795.79,7134.90,9097.74,8760.84,12280.85,6330.56,8400.29,10933.33,13580.75 "SVT-AV1 - Encoder Mode: Enc Mode 4 - Input: 1080p (FPS)",HIB,2.707,4.320,2.465,3.347,4.411,4.493,5.320,2.961,3.934,5.315,6.063 "TTSIOD 3D Renderer - Phong Rendering With Soft-Shadow Mapping (FPS)",HIB,417.526,706.153,420.457,545.543,670.094,684.390,829.786,576.380,733.428,873.702,1025.44 "oneDNN - Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU (ms)",LIB,8.71910,4.78766,9.02336,6.86557,5.08460,5.25366,4.29713,7.60324,5.49973,4.71670,3.71587 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Slow (FPS)",HIB,16.12,28.39,17.89,25.54,27.34,27.66,36.26,20.47,29.17,30.56,38.43 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Medium (FPS)",HIB,16.67,29.36,18.36,26.20,28.13,28.56,37.16,20.98,30.03,31.47,39.37 "Timed FFmpeg Compilation - Time To Compile (sec)",LIB,70.339,44.869,65.266,51.240,40.482,39.518,33.467,56.223,45.328,34.155,29.818 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Ultra Fast (FPS)",HIB,20.85,35.25,22.84,30.13,36.08,36.87,45.92,26.22,34.77,41.70,48.99 "Timed Linux Kernel Compilation - Time To Compile (sec)",LIB,106.429,63.946,100.404,76.685,57.907,56.776,47.358,89.844,71.213,52.268,45.421 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS)",HIB,11.47,19.57,12.75,16.95,20.64,21.16,25.17,14.63,19.50,23.74,26.59 "x264 - H.264 Video Encoding (FPS)",HIB,75.14,126.19,77.19,98.32,136.32,139.09,162.49,93.58,112.90,158.81,172.75 "x265 - Video Input: Bosphorus 4K (FPS)",HIB,12.56,18.81,11.70,12.48,19.37,19.65,23.09,14.47,15.14,23.54,26.50 "7-Zip Compression - Compress Speed Test (MIPS)",HIB,41897,64772,43855,56370,76909,77550,90071,54132,66087,89437,94779 "Numenta Anomaly Benchmark - Detector: Earthgecko Skyline (sec)",LIB,152.563,93.113,150.813,113.800,86.301,83.189,77.852,121.686,91.563,70.611,67.899 "Timed LLVM Compilation - Time To Compile (sec)",LIB,807.290,506.573,748.564,586.162,446.179,432.302,364.327,687.967,548.764,402.442,361.166 "TensorFlow Lite - Model: NASNet Mobile (us)",LIB,236704,147694,213644,156768,140368,139014,117199,180417,137424,122229,106372 "Intel Open Image Denoise - Scene: Memorial (Images / Sec)",HIB,6.87,11.10,6.36,7.65,11.04,10.46,12.89,6.97,9.05,11.91,13.74 "OpenVINO - Model: Face Detection 0106 FP16 - Device: CPU (FPS)",HIB,2.11,3.34,1.68,1.94,2.78,2.62,3.25,1.80,2.27,3.06,3.62 "OpenVINO - Model: Face Detection 0106 FP32 - Device: CPU (FPS)",HIB,2.10,3.29,1.68,1.94,2.78,2.61,3.27,1.78,2.27,3.06,3.61 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,344.920,214.088,318.339,262.999,232.657,220.215,207.121,282.751,206.305,179.867,161.223 "Sunflow Rendering System - Global Illumination + Image Synthesis (sec)",LIB,1.295,0.781,1.340,1.007,0.842,0.805,0.697,1.019,0.786,0.684,0.627 "Polyhedron Fortran Benchmarks - Benchmark: linpk (sec)",LIB,2.64,2.28,3.13,3.12,3.2,3.22,3.03,1.55,1.53,1.53,1.54 "NeatBench - Acceleration: CPU (FPS)",HIB,14.4,18.3,18.9,21.9,24.7,25.1,27.3,22.0,25.8,28.3,30.3 "Numenta Anomaly Benchmark - Detector: Windowed Gaussian (sec)",LIB,14.129,8.099,13.982,9.625,8.613,8.187,7.276,12.308,9.051,7.495,6.764 "oneDNN - Harness: IP Batch 1D - Data Type: f32 - Engine: CPU (ms)",LIB,4.33647,3.28562,5.73687,6.23646,3.80031,4.81380,4.03926,4.22337,3.12133,3.00338,3.20910 "Zstd Compression - Compression Level: 3 (MB/s)",HIB,3633.4,2922.3,4561.3,4265.9,4499.8,4483.5,4059.1,6000.4,4715.8,5879.8,4896.1 "Numenta Anomaly Benchmark - Detector: Relative Entropy (sec)",LIB,24.800,16.990,24.810,19.006,16.258,16.026,14.730,20.235,16.680,13.253,12.235 "Numenta Anomaly Benchmark - Detector: Bayesian Changepoint (sec)",LIB,44.937,33.140,36.341,32.717,28.134,26.855,25.656,31.035,28.127,22.770,22.196 "NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,5.33,5.06,5.64,5.55,5.40,5.39,5.82,3.10,2.88,4.14,4.37 "libavif avifenc - Encoder Speed: 0 (sec)",LIB,106.409,71.859,101.968,80.884,68.184,67.303,59.399,88.135,71.481,58.650,52.752 "SVT-VP9 - Tuning: Visual Quality Optimized - Input: Bosphorus 1080p (FPS)",HIB,122.76,186.01,109.32,119.86,180.89,180.29,200.83,126.8,134.96,206.64,220.35 "SciMark - Computational Test: Fast Fourier Transform (Mflops)",HIB,265.78,390.00,306.45,262.48,310.86,371.29,374.19,338.34,471.05,495.79,521.05 "libavif avifenc - Encoder Speed: 2 (sec)",LIB,63.899,42.772,61.339,48.524,41.110,40.427,35.675,53.527,43.364,35.206,32.199 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Very Fast (FPS)",HIB,43.82,69.90,48.14,60.10,62.50,63.26,82.24,55.56,69.34,69.63,86.94 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Ultra Fast (FPS)",HIB,79.10,129.64,85.57,112.90,117.56,119.07,145.91,99.92,129.30,130.30,155.81 "Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,5.651,4.331,6.562,6.034,7.234,7.235,8.162,4.921,4.165,6.111,6.448 "Timed ImageMagick Compilation - Time To Compile (sec)",LIB,35.433,24.738,33.447,27.965,23.221,22.766,20.576,29.815,25.220,19.524,18.171 "OpenVINO - Model: Person Detection 0106 FP32 - Device: CPU (FPS)",HIB,1.28,1.93,1.28,1.52,2.07,1.99,2.43,1.26,1.65,2.19,2.45 "OCRMyPDF - Processing 60 Page PDF Document (sec)",LIB,29.498,19.837,30.149,24.027,21.027,20.555,18.731,25.306,20.543,17.192,15.582 "OpenVINO - Model: Person Detection 0106 FP16 - Device: CPU (FPS)",HIB,1.28,1.93,1.29,1.56,2.10,1.97,2.43,1.29,1.72,2.20,2.47 "NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,4.41,4.00,5.08,4.83,4.75,4.75,5.15,2.90,2.68,3.99,4.16 "Nebular Empirical Analysis Tool - (sec)",LIB,19.679,14.234,18.048,14.968,13.477,13.226,12.242,15.167,12.871,11.016,10.363 "NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,6.83,5.89,7.36,7.01,6.61,6.62,7.10,4.24,3.90,5.19,5.25 "Rodinia - Test: OpenMP Leukocyte (sec)",LIB,131.403,82.982,127.402,118.735,88.589,86.786,77.777,106.397,101.563,72.564,69.810 "dav1d - Video Input: Chimera 1080p (FPS)",HIB,550.52,785.87,438.49,514.32,586.78,585.47,619.21,545.09,646.15,661.39,688.70 "NCNN - Target: CPU - Model: googlenet (ms)",LIB,14.92,13.28,17.03,16.05,17.38,17.31,19.24,11.39,10.75,12.68,13.43 "Timed PHP Compilation - Time To Compile (sec)",LIB,66.256,47.793,64.412,54.144,46.785,46.271,42.373,55.961,47.703,40.115,37.369 "Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,32.475,25.310,30.257,29.532,33.074,33.468,42.129,25.038,23.836,27.056,28.378 "GROMACS - Water Benchmark (Ns/Day)",HIB,0.842,0.977,0.733,0.823,1.133,1.136,1.236,0.876,0.990,1.284,1.290 "SVT-VP9 - Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p (FPS)",HIB,154.53,210.08,134.25,149.99,202.63,198.20,217.13,153.90,169.80,226.26,234.14 "PlaidML - FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU (FPS)",HIB,6.48,7.38,6.59,6.92,7.14,7.03,7.22,10.36,11.04,11.08,11.24 "ASTC Encoder - Preset: Medium (sec)",LIB,9.45,6.80,9.60,7.98,7.07,7.04,6.27,8.09,6.87,6.01,5.60 "Zstd Compression - Compression Level: 19 (MB/s)",HIB,37.2,30.3,27,32.3,38.7,38.9,39.5,33.5,37.1,44.6,44.2 "PlaidML - FP16: No - Mode: Inference - Network: Mobilenet - Device: CPU (FPS)",HIB,14.48,17.06,14.76,15.65,16.40,16.38,16.85,20.34,21.95,23.20,23.64 "dav1d - Video Input: Summer Nature 4K (FPS)",HIB,143.26,183.54,145.19,171.17,197.62,197.64,201.96,173.18,198.88,228.06,231.45 "WireGuard + Linux Networking Stack Stress Test - (sec)",LIB,174.718,176.739,197.374,183.716,196.117,194.851,195.779,129.375,123.089,155.876,149.621 "PlaidML - FP16: No - Mode: Inference - Network: Inception V3 - Device: CPU (FPS)",HIB,7.88,9.21,8.94,9.79,10.59,10.61,11.15,10.27,11.35,12.43,12.61 "NCNN - Target: CPU - Model: mobilenet (ms)",LIB,18.79,16.41,18.83,17.08,16.49,16.50,17.12,12.85,11.79,12.36,12.65 "Tungsten Renderer - Scene: Water Caustic (sec)",LIB,29.7953,23.5822,30.4813,25.8801,24.1102,23.8269,21.2263,26.6276,23.2751,21.2532,19.4728 "oneDNN - Harness: IP Batch All - Data Type: f32 - Engine: CPU (ms)",LIB,64.9448,57.1675,71.4563,64.0201,51.4238,56.2274,47.4722,68.3735,57.6800,48.4101,45.7354 "Timed MAFFT Alignment - Multiple Sequence Alignment - LSU RNA (sec)",LIB,8.750,8.702,11.424,11.018,8.907,8.973,8.591,8.515,8.508,7.365,7.350 "NCNN - Target: CPU - Model: squeezenet (ms)",LIB,16.17,14.04,17.88,16.29,15.95,16.39,15.97,12.37,11.52,12.95,13.30 "DaCapo Benchmark - Java Test: Tradesoap (msec)",LIB,3977,2884,4395,3663,3389,3348,3460,3531,2962,2836,2925 "Selenium - Benchmark: WASM collisionDetection - Browser: Firefox (ms)",LIB,450.8,419.1,367.7,347.7,369.6,360.7,362.2,306.9,292.4,291.4,297.7 "DeepSpeech - Acceleration: CPU (sec)",LIB,64.06862,78.01743,57.69822,61.24351,65.37162,65.57842,63.23064,50.49585,54.99946,58.40233,59.64680 "SciMark - Computational Test: Dense LU Matrix Factorization (Mflops)",HIB,1084.83,1176.07,1003.69,1010.57,1000.22,1019.65,1022.73,1476.82,1520.85,1485.05,1501.03 "Caffe - Model: AlexNet - Acceleration: CPU - Iterations: 200 (ms)",LIB,89584,75313,97587,96129,107356,105803,105617,74254,70819,78347,80924 "CloverLeaf - Lagrangian-Eulerian Hydrodynamics (sec)",LIB,4.04,5.64,4.90,5.06,3.89,3.99,3.86,4.51,4.70,3.73,3.85 "FFTE - N=256, 3D Complex FFT Routine (MFLOPS)",HIB,34083.368614570,25630.005048964,34238.231086660,37466.482170039,36851.901582848,35670.008724723,38565.531315546,36604.364895923,35513.873208264,37925.620893458,36137.493677561 "TSCP - AI Chess Performance (Nodes/s)",HIB,1482195,1572770,1327838,1401832,1376972,1385206,1407253,1900557,1989830,1960074,1970776 "NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,27.79,25.00,29.79,28.03,28.90,28.68,29.08,20.39,19.89,21.81,22.63 "LibRaw - Post-Processing Benchmark (Mpix/sec)",HIB,36.94,41.50,39.02,41.76,43.19,43.59,44.57,49.12,52.29,53.42,54.99 "GraphicsMagick - Operation: Rotate (Iterations/min)",HIB,862,945,754,794,766,726,799,1035,1072,1056,1042 "C-Blosc - Compressor: blosclz (MB/s)",HIB,10868.2,10815.8,11552.0,11505.5,11595.2,11473.9,11474.9,15561.0,15924.6,14645.4,14032.5 "Polyhedron Fortran Benchmarks - Benchmark: air (sec)",LIB,2,1.99,1.63,1.55,1.6,1.57,1.59,1.37,1.36,1.36,1.36 "Selenium - Benchmark: WASM collisionDetection - Browser: Google Chrome (ms)",LIB,368.4442,340.6818,285.6642,270.4472,280.2477,270.8432,280.0318,260.7575,250.9268,253.6500,254.1522 "RNNoise - (sec)",LIB,22.370,21.061,18.260,17.337,18.522,17.406,17.238,15.882,15.239,15.613,15.372 "Radiance Benchmark - Test: SMP Parallel (sec)",LIB,192.56,183.252,172.484,167.356,171.793,170.083,169.173,133.294,131.4,134.279,135.234 "Radiance Benchmark - Test: Serial (sec)",LIB,611.639,588.161,549.021,529.704,546.888,526.457,522.735,437.945,421.394,430.236,426.53 "Mobile Neural Network - Model: inception-v3 (ms)",LIB,38.470,29.427,36.023,32.458,31.547,32.484,36.984,31.649,26.507,26.881,26.798 "Caffe - Model: GoogleNet - Acceleration: CPU - Iterations: 200 (ms)",LIB,231683,196074,237908,234440,262738,258972,265131,193736,182697,200676,214239 "Basis Universal - Settings: UASTC Level 0 (sec)",LIB,7.595,6.371,7.620,6.797,6.715,6.760,6.365,6.141,5.644,5.426,5.252 "Rodinia - Test: OpenMP HotSpot3D (sec)",LIB,91.898,83.891,87.086,80.938,81.104,79.756,79.925,70.558,67.505,66.744,63.862 "NCNN - Target: CPU - Model: resnet50 (ms)",LIB,29.20,24.28,31.60,28.47,27.82,27.66,29.91,24.78,22.09,24.29,25.48 "Basis Universal - Settings: ETC1S (sec)",LIB,52.408,43.301,51.351,45.826,44.349,43.549,42.255,43.664,39.865,37.395,36.778 "AOM AV1 - Encoder Mode: Speed 8 Realtime (FPS)",HIB,45.81,49.04,38.20,38.59,38.03,38.32,38.90,51.53,53.60,53.19,52.94 "NCNN - Target: CPU - Model: resnet18 (ms)",LIB,14.89,13.56,17.57,16.92,16.70,16.48,17.91,12.71,12.78,13.32,14.62 "Monte Carlo Simulations of Ionised Nebulae - Input: Dust 2D tau100.0 (sec)",LIB,207,166,233,211,211,205,199,203,194,179,180 "ctx_clock - Context Switch Time (Clocks)",LIB,178,150,190,156,190,177,175,148,152,148,136 "Inkscape - Operation: SVG Files To PNG (sec)",LIB,20.864,19.857,23.878,23.778,24.213,23.776,23.917,17.840,17.414,18.317,18.545 "Hierarchical INTegration - Test: FLOAT (QUIPs)",HIB,481073602.70390,511718743.40279,390856008.08384,406360022.76109,401445819.03219,385672695.95056,406108737.67552,509667296.91286,530810166.94898,517301573.26234,535283139.77587 "Mlpack Benchmark - Benchmark: scikit_svm (sec)",LIB,22.38,20.36,19.10,18.43,18.79,18.90,19.13,16.79,16.16,16.48,16.17 "RawTherapee - Total Benchmark Time (sec)",LIB,60.928,53.667,63.409,57.837,54.341,53.509,52.391,53.294,49.316,45.853,46.340 "SQLite Speedtest - Timed Time - Size 1,000 (sec)",LIB,49.054,46.564,57.300,53.977,55.784,56.773,55.072,43.061,41.677,41.538,42.682 "DaCapo Benchmark - Java Test: Jython (msec)",LIB,3676,3319,4215,3965,3990,3963,3946,3313,3165,3068,3066 "Fhourstones - Complex Connect-4 Solving (Kpos / sec)",HIB,15846.1,17624.8,15263.7,16160.1,15451.0,15572.8,15875.8,20100.7,20877.6,20018.5,20223.0 "Numpy Benchmark - (Score)",HIB,413.80,451.53,415.99,432.12,409.49,425.55,422.17,543.12,558.28,550.69,542.76 "dav1d - Video Input: Chimera 1080p 10-bit (FPS)",HIB,102.72,131.94,97.93,105.06,110.59,110.90,113.75,117.34,124.60,128.47,133.14 "Perl Benchmarks - Test: Pod2html (sec)",LIB,0.10063976,0.09765781,0.11643247,0.11018877,0.11095995,0.11338212,0.11059513,0.08930334,0.08734160,0.08573340,0.08659397 "Polyhedron Fortran Benchmarks - Benchmark: protein (sec)",LIB,12.35,11.64,12.14,11.54,12.23,12.12,12.03,9.4,9.11,9.28,9.22 "Crafty - Elapsed Time (Nodes/s)",HIB,9196154,10087418,8912018,8805287,9268070,9071528,9195403,11191962,11851326,11404838,11519567 "LAME MP3 Encoding - WAV To MP3 (sec)",LIB,7.397,6.966,7.067,6.658,7.081,6.964,6.894,5.737,5.499,5.621,5.562 "Dolfyn - Computational Fluid Dynamics (sec)",LIB,17.131,16.398,16.154,15.382,16.128,15.636,15.568,13.137,12.775,12.840,12.820 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU (ms)",LIB,,,,,,,,0.63,0.47,, "TNN - Target: CPU - Model: SqueezeNet v1.1 (ms)",LIB,278.408,261.564,240.275,231.374,235.518,236.447,240.335,216.957,208.123,215.546,213.838 "Timed GDB GNU Debugger Compilation - Time To Compile (sec)",LIB,110.030,87.429,109.636,99.062,94.925,94.033,90.547,99.306,91.225,83.576,82.465 "OpenVINO - Model: Person Detection 0106 FP16 - Device: CPU (ms)",LIB,,,,,,,,3087.08,2313.88,, "Timed MrBayes Analysis - Primate Phylogeny Analysis (sec)",LIB,68.834,63.630,69.253,66.905,72.744,69.941,70.243,54.525,55.098,56.992,61.580 "TNN - Target: CPU - Model: MobileNet v2 (ms)",LIB,294.966,282.645,257.797,246.791,256.339,255.505,258.827,227.657,221.115,227.294,228.342 "AOM AV1 - Encoder Mode: Speed 6 Realtime (FPS)",HIB,21.70,25.67,19.26,19.47,19.82,19.64,19.47,24.53,25.46,25.30,25.45 "Tesseract OCR - Time To OCR 7 Images (sec)",LIB,20.346,19.174,22.615,21.751,23.066,23.003,22.740,18.109,17.361,19.375,19.349 "GNU Octave Benchmark - (sec)",LIB,6.190,5.897,6.573,6.484,6.755,6.595,6.469,5.206,5.093,5.193,5.180 "Selenium - Benchmark: ARES-6 - Browser: Google Chrome (ms)",LIB,17.05,15.82,18.97,18.06,18.56,18.38,18.51,14.97,14.31,14.81,14.75 "AOM AV1 - Encoder Mode: Speed 6 Two-Pass (FPS)",HIB,4.17,4.65,3.97,4.20,4.16,4.18,4.18,5.06,5.26,5.26,5.24 "Timed Apache Compilation - Time To Compile (sec)",LIB,21.479,18.040,22.725,21.203,20.919,20.674,20.214,19.276,17.975,17.293,17.189 "AOM AV1 - Encoder Mode: Speed 4 Two-Pass (FPS)",HIB,2.61,2.92,2.56,2.71,2.68,2.71,2.72,3.20,3.36,3.36,3.38 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,,,,,,,,0.62,0.47,, "GIMP - Test: auto-levels (sec)",LIB,11.203,10.442,11.590,11.239,11.916,11.876,12.250,9.593,9.291,9.915,10.314 "eSpeak-NG Speech Engine - Text-To-Speech Synthesis (sec)",LIB,26.772,25.302,27.480,26.077,26.807,26.711,26.677,21.646,20.924,21.318,21.464 "VP9 libvpx Encoding - Speed: Speed 5 (FPS)",HIB,28.66,30.34,25.99,26.99,25.83,25.64,25.37,32.83,33.23,31.12,30.81 "Selenium - Benchmark: Maze Solver - Browser: Firefox (sec)",LIB,5.4,5.5,4.4,4.3,4.4,4.4,4.5,4.3,4.2,4.3,4.4 "GIMP - Test: resize (sec)",LIB,7.926,6.804,8.236,7.673,7.491,7.381,7.289,6.827,6.301,6.344,6.298 "WebP Image Encode - Encode Settings: Quality 100, Highest Compression (Encode Time - sec)",LIB,6.387,6.024,6.916,6.567,6.804,6.555,6.748,5.454,5.294,5.340,5.334 "OpenVINO - Model: Person Detection 0106 FP32 - Device: CPU (ms)",LIB,,,,,,,,3144.77,2411.82,, "libjpeg-turbo tjbench - Test: Decompression Throughput (Megapixels/sec)",HIB,223.570648,237.256549,221.219799,232.686217,229.313087,221.002970,225.709372,276.460954,287.731763,281.149611,281.528498 "BYTE Unix Benchmark - Computational Test: Dhrystone 2 (LPS)",HIB,47964784.2,52005432.9,43647479.3,44883700.9,44081890.7,44714220.6,44123395.7,54945549.9,56745146.9,55937330.1,56105538.1 "LibreOffice - Test: 20 Documents To PDF (sec)",LIB,6.568,6.289,6.481,6.207,6.506,6.355,6.412,5.265,5.066,5.142,5.126 "PyPerformance - Benchmark: regex_compile (Milliseconds)",LIB,140,134,158,150,158,153,153,126,122,123,123 "DaCapo Benchmark - Java Test: H2 (msec)",LIB,2778,2747,3090,2908,3130,3050,3255,2519,2592,2656,2712 "Selenium - Benchmark: Kraken - Browser: Google Chrome (ms)",LIB,757.0,754.9,721.3,686.9,715.3,705.8,700.5,606.8,587.6,589.9,590.1 "Selenium - Benchmark: Jetstream 2 - Browser: Google Chrome (Score)",HIB,153.240,163.678,148.976,155.617,151.423,152.931,152.151,185.204,191.705,188.916,187.719 "VP9 libvpx Encoding - Speed: Speed 0 (FPS)",HIB,7.88,8.08,7.69,8.08,7.73,7.80,7.83,9.68,9.83,9.51,9.50 "libavif avifenc - Encoder Speed: 8 (sec)",LIB,5.434,4.538,5.322,4.733,4.616,4.586,4.453,4.864,4.474,4.264,4.258 "Selenium - Benchmark: Maze Solver - Browser: Google Chrome (sec)",LIB,5.1,5.0,4.2,4.2,4.2,4.2,4.3,4.0,4,4.0,4 "OpenVINO - Model: Face Detection 0106 FP32 - Device: CPU (ms)",LIB,,,,,,,,2244.48,1760.66,, "Selenium - Benchmark: StyleBench - Browser: Google Chrome (Runs / Minute)",HIB,36.80,35.2,35.33,36.5,36.2,36.3,36.4,43.45,44.22,44.8,44.4 "PyPerformance - Benchmark: python_startup (Milliseconds)",LIB,6.93,6.74,7.53,7.19,8.12,8.01,8.10,7.21,6.78,6.38,6.42 "Montage Astronomical Image Mosaic Engine - Mosaic of M17, K band, 1.5 deg x 1.5 deg (sec)",LIB,70.283,66.371,72.086,69.193,71.621,68.888,69.702,58.142,56.794,57.355,57.716 "PyPerformance - Benchmark: pathlib (Milliseconds)",LIB,15.2,14.3,16.1,15.2,15.8,15.4,15.6,13.2,12.7,12.7,12.7 "WebP Image Encode - Encode Settings: Default (Encode Time - sec)",LIB,1.374,1.294,1.434,1.367,1.414,1.365,1.369,1.177,1.132,1.153,1.145 "WebP Image Encode - Encode Settings: Quality 100 (Encode Time - sec)",LIB,2.115,2.009,2.189,2.099,2.175,2.088,2.161,1.821,1.756,1.743,1.729 "GEGL - Operation: Rotate 90 Degrees (sec)",LIB,35.095,32.355,38.552,36.460,37.459,37.191,37.232,31.983,30.582,30.883,30.851 "OpenVINO - Model: Face Detection 0106 FP16 - Device: CPU (ms)",LIB,,,,,,,,2225.20,1765.42,, "GIMP - Test: rotate (sec)",LIB,10.818,10.404,11.130,10.811,11.145,11.116,11.265,9.224,8.959,9.320,9.431 "GEGL - Operation: Scale (sec)",LIB,5.639,5.311,5.528,5.238,5.550,5.456,5.499,4.636,4.488,4.593,4.641 "PyPerformance - Benchmark: raytrace (Milliseconds)",LIB,373,353,427,406,428,413,417,352,342,344,344 "GEGL - Operation: Color Enhance (sec)",LIB,52.527,49.231,55.211,52.447,54.672,53.688,54.089,46.150,44.361,45.054,45.045 "Selenium - Benchmark: Speedometer - Browser: Google Chrome (Runs/min)",HIB,135,138,136.5,143.2,140.2,142.4,141.8,163.2,168,167,167.0 "GEGL - Operation: Antialias (sec)",LIB,34.123,31.729,36.752,34.738,36.782,35.988,36.636,30.888,29.579,30.559,30.738 "WebP Image Encode - Encode Settings: Quality 100, Lossless (Encode Time - sec)",LIB,15.452,15.084,15.618,15.036,15.258,14.855,15.638,13.261,12.861,12.629,12.764 "PyBench - Total For Average Test Times (Milliseconds)",LIB,820,773,888,871,888,866,876,739,728,730,718 "SciMark - Computational Test: Composite (Mflops)",HIB,741.22,829.30,716.75,732.75,717.42,743.57,751.35,830.95,885.75,871.93,885.60 "libavif avifenc - Encoder Speed: 10 (sec)",LIB,5.102,4.379,4.970,4.456,4.395,4.336,4.305,4.574,4.228,4.138,4.133 "GEGL - Operation: Reflect (sec)",LIB,27.035,25.450,29.670,28.355,29.465,29.069,29.181,25.059,24.164,24.533,24.668 "GEGL - Operation: Crop (sec)",LIB,7.681,7.461,8.026,7.757,8.057,7.943,8.074,6.752,6.589,6.747,6.842 "Selenium - Benchmark: WASM imageConvolute - Browser: Google Chrome (ms)",LIB,29.4177,27.7527,27.899,26.4595,28.4992,27.0880,27.324,24.6273,24.0168,24.2365,24.5738 "WebP Image Encode - Encode Settings: Quality 100, Lossless, Highest Compression (Encode Time - sec)",LIB,33.155,31.120,32.530,31.204,32.012,32.579,32.301,27.908,27.089,27.616,27.271 "SciMark - Computational Test: Monte Carlo (Mflops)",HIB,165.10,179.16,159.39,168.24,159.96,163.05,165.36,185.18,194.38,189.65,192.12 "Botan - Test: Twofish (MiB/s)",HIB,420.583,446.453,390.471,411.267,403.651,393.717,400.119,453.519,474.371,461.362,465.902 "FLAC Audio Encoding - WAV To FLAC (sec)",LIB,7.587,7.173,7.695,7.340,7.579,7.538,7.455,6.598,6.338,6.440,6.373 "Selenium - Benchmark: WASM imageConvolute - Browser: Firefox (ms)",LIB,29.0,26.8,27.0,25.4,26.7,26.2,26.9,24.4,23.9,24.1,24.1 "G'MIC - Test: Plotting Isosurface Of A 3D Volume, 1000 Times (sec)",LIB,17.348,16.047,18.658,17.767,18.196,18.270,18.333,16.267,15.767,15.967,15.744 "PyPerformance - Benchmark: nbody (Milliseconds)",LIB,98.7,93.0,105,100,103,101,102,90.1,88.7,88.7,89.0 "Perl Benchmarks - Test: Interpreter (sec)",LIB,0.00073281,0.00070228,0.00073548,0.00069996,0.00074999,0.00075364,0.00076862,0.00068638,0.00066754,0.00065021,0.00064973 "Botan - Test: Blowfish (MiB/s)",HIB,523.673,556.852,480.701,499.691,492.735,488.014,501.990,539.218,562.597,548.748,550.628 "Mlpack Benchmark - Benchmark: scikit_qda (sec)",LIB,69.01,62.64,66.25,66.46,67.79,68.16,69.64,62.79,59.78,60.45,62.55 "Selenium - Benchmark: Kraken - Browser: Firefox (ms)",LIB,745.5,709.4,737.2,708.1,745.9,714.9,731.0,664.5,645.8,663.0,673.1 "Selenium - Benchmark: Jetstream 2 - Browser: Firefox (Score)",HIB,106.603,113.690,105.770,107.560,105.141,107.146,105.020,115.921,120.204,117.138,117.721 "Botan - Test: CAST-256 (MiB/s)",HIB,165.638,176.074,157.465,168.045,162.647,159.834,157.120,169.184,176.435,173.790,177.013 "NCNN - Target: CPU - Model: mnasnet (ms)",LIB,,,,,,,,2.87,2.59,, "NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,,,,,,,,2.17,1.98,, "NCNN - Target: CPU - Model: alexnet (ms)",LIB,,,,,,,,15.30,14.37,, "Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,,,,,,,,4.293,4.153,, "NCNN - Target: CPU - Model: blazeface (ms)",LIB,,,,,,,,0.98,0.96,, "NCNN - Target: CPU - Model: vgg16 (ms)",LIB,,,,,,,,61.72,61.21,,