AMD Ryzen 9 5900X initial Linux benchmarks by Michael Larabel for a future article preparation for 5 November launch day.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2011040-FI-AMDRYZEN976
Ryzen 9 5900X / Ryzen 9 5950X Linux Performance
AMD Ryzen 9 5900X initial Linux benchmarks by Michael Larabel for a future article preparation for 5 November launch day.
,,"Ryzen 9 3950X","Core i9 10900K","Ryzen 9 3900XT","Ryzen 9 3900X","Ryzen 9 5900X","Ryzen 9 5950X","Ryzen 7 3800XT","Ryzen 5 3600X","Ryzen 5 2600X","Ryzen 5 2600","Core i5 10600K"
Processor,,AMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads),Intel Core i9-10900K @ 5.30GHz (10 Cores / 20 Threads),AMD Ryzen 9 3900XT 12-Core @ 3.80GHz (12 Cores / 24 Threads),AMD Ryzen 9 3900X 12-Core @ 3.80GHz (12 Cores / 24 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),AMD Ryzen 7 3800XT 8-Core @ 3.90GHz (8 Cores / 16 Threads),AMD Ryzen 5 3600X 6-Core @ 3.80GHz (6 Cores / 12 Threads),AMD Ryzen 5 2600X Six-Core @ 3.60GHz (6 Cores / 12 Threads),AMD Ryzen 5 2600 Six-Core @ 3.40GHz (6 Cores / 12 Threads),Intel Core i5-10600K @ 4.80GHz (6 Cores / 12 Threads)
Motherboard,,ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2206 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) (2311 BIOS),ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2311 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),Gigabyte Z490 AORUS MASTER (F3 BIOS)
Chipset,,AMD Starship/Matisse,Intel Comet Lake PCH,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD 17h,AMD 17h,Intel Comet Lake PCH
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
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
,,"Ryzen 9 3950X","Core i9 10900K","Ryzen 9 3900XT","Ryzen 9 3900X","Ryzen 9 5900X","Ryzen 9 5950X","Ryzen 7 3800XT","Ryzen 5 3600X","Ryzen 5 2600X","Ryzen 5 2600","Core i5 10600K"
"ACES DGEMM - Sustained Floating-Point Rate (GFLOP/s)",HIB,5.476733,5.303240,4.236534,4.167965,7.431249,9.065396,3.004623,2.285211,0.980601,0.933703,2.740891
"Aircrack-ng - (k/s)",HIB,58788.470,45909.654,43919.307,42773.974,61777.853,74570.422,30745.605,22344.148,10871.199,9919.794,25302.454
"oneDNN - Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU (ms)",LIB,2.47606,2.96253,3.15304,3.26437,2.72467,2.27610,4.48876,6.59016,11.8845,12.6867,5.45967
"John The Ripper - Test: MD5 (Real C/S)",HIB,1868000,1331333,1413667,1366667,1840667,2226000,991599,724083,443008,402572,752998
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,12280.85,9817.08,8760.84,9097.74,10933.33,13580.75,7134.90,5795.79,2742.77,2518.63,5506.56
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU (FPS)",HIB,12650.24,9817.40,8748.79,9125.69,10990.54,13518.29,7092.34,5700.85,2728.14,2515.45,5477.65
"Intel Open Image Denoise - Scene: Memorial (Images / Sec)",HIB,12.89,11.10,10.46,11.04,11.91,13.74,7.65,6.36,3.12,2.68,6.87
"oneDNN - Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU (ms)",LIB,4.29713,4.78766,5.25366,5.08460,4.71670,3.71587,6.86557,9.02336,17.5858,18.9968,8.71910
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,207.121,214.088,220.215,232.657,179.867,161.223,262.999,318.339,658.700,722.395,344.920
"OpenVINO - Model: Person Detection 0106 FP16 - Device: CPU (FPS)",HIB,2.43,1.93,1.97,2.10,2.20,2.47,1.56,1.29,0.63,0.57,1.28
"OpenVINO - Model: Person Detection 0106 FP32 - Device: CPU (FPS)",HIB,2.43,1.93,1.99,2.07,2.19,2.45,1.52,1.28,0.62,0.57,1.28
"OpenVINO - Model: Face Detection 0106 FP16 - Device: CPU (FPS)",HIB,3.25,3.34,2.62,2.78,3.06,3.62,1.94,1.68,0.95,0.85,2.11
"OpenVINO - Model: Face Detection 0106 FP32 - Device: CPU (FPS)",HIB,3.27,3.29,2.61,2.78,3.06,3.61,1.94,1.68,0.95,0.85,2.10
"OpenVKL - Benchmark: vklBenchmark (Items / Sec)",HIB,236.58,192.75,182.97,177.75,233.83,286.17,128.78,94.03,75.14,67.42,114.36
"OpenSSL - RSA 4096-bit Performance (Signs/sec)",HIB,4743.4,3712.3,3551.0,3489.8,3858.3,4897.3,2490.6,1806.4,1288.7,1157.0,2038.2
"John The Ripper - Test: Blowfish (Real C/S)",HIB,28096,23591,20729,20244,30214,38305,14494,10481,10215,9113,13022
"TSCP - AI Chess Performance (Nodes/s)",HIB,1407253,1572770,1385206,1376972,1960074,1970776,1401832,1327838,1125468,491520,1482195
"Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,19.8746,17.7041,15.2873,14.9594,19.4679,23.7842,11.0482,8.3025,6.5124,5.9812,9.7946
"BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,248077,183810,188522,183744,215925,267071,131827,93929,75302,68516,101498
"N-Queens - Elapsed Time (sec)",LIB,6.704,10.353,9.068,9.245,7.206,5.655,12.999,18.012,19.426,21.626,18.759
"Embree - Binary: Pathtracer - Model: Crown (FPS)",HIB,21.0440,15.4247,16.0926,15.6590,19.9229,24.2757,11.5679,8.6544,7.0283,6.4088,8.5744
"Chaos Group V-RAY - Mode: CPU (Ksamples)",HIB,28416,19765,21517,20910,26420,32561,15422,11409,9499,8728,11261
"Kvazaar - Video Input: Bosphorus 4K - Video Preset: Slow (FPS)",HIB,10.26,6.80,7.56,7.37,8.47,10.80,5.96,4.50,3.19,2.91,3.93
"SciMark - Computational Test: Dense LU Matrix Factorization (Mflops)",HIB,1022.73,1176.07,1019.65,1000.22,1485.05,1501.03,1010.57,1003.69,431.56,404.71,1084.83
"Kvazaar - Video Input: Bosphorus 4K - Video Preset: Medium (FPS)",HIB,10.40,6.96,7.71,7.51,8.60,10.94,6.07,4.59,3.27,2.97,4.04
"m-queens - Time To Solve (sec)",LIB,33.840,59.606,45.820,46.740,37.543,29.547,65.340,90.227,93.988,104.796,108.063
"SVT-AV1 - Encoder Mode: Enc Mode 8 - Input: 1080p (FPS)",HIB,43.330,38.233,36.592,35.947,43.148,48.712,28.004,18.512,14.738,13.421,21.379
"Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,21.6635,20.4299,16.8323,16.5255,20.4798,25.5897,12.4007,9.5120,7.5856,7.1159,12.3370
"TTSIOD 3D Renderer - Phong Rendering With Soft-Shadow Mapping (FPS)",HIB,829.786,706.153,684.390,670.094,873.702,1025.44,545.543,420.457,305.104,285.889,417.526
"Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,107.97,162.99,141.23,146.60,124.61,102.26,200.06,271.38,334.41,366.41,288.99
"GraphicsMagick - Operation: Enhanced (Iterations/min)",HIB,407,269,301,298,330,420,215,157,131,119,150
"asmFish - 1024 Hash Memory, 26 Depth (Nodes/s)",HIB,52929484,40392459,40082309,38836873,49348712,59943519,29158077,21747154,18868750,17002246,22294478
"Tachyon - Total Time (sec)",LIB,46.3723,65.9835,60.1191,73.9702,52.3579,43.4626,87.9410,117.5552,148.7461,153.1003,120.6398
"YafaRay - Total Time For Sample Scene (sec)",LIB,79.697,109.474,100.553,103.713,80.393,66.152,133.841,180.782,212.242,231.832,198.112
"Rodinia - Test: OpenMP LavaMD (sec)",LIB,120.533,170.152,159.413,164.705,123.339,103.616,226.995,309.606,330.161,362.263,306.480
"Stockfish - Total Time (Nodes/s)",HIB,52407367,35726813,38915395,38124311,45601255,56742350,27808441,20871771,18145930,16238519,19653079
"oneDNN - Harness: IP Batch 1D - Data Type: f32 - Engine: CPU (ms)",LIB,4.03926,3.28562,4.81380,3.80031,3.00338,3.20910,6.23646,5.73687,9.61005,10.4448,4.33647
"SVT-AV1 - Encoder Mode: Enc Mode 4 - Input: 1080p (FPS)",HIB,5.320,4.320,4.493,4.411,5.315,6.063,3.347,2.465,1.916,1.752,2.707
"Smallpt - Global Illumination Renderer; 128 Samples (sec)",LIB,5.200,7.905,6.944,7.092,6.160,4.937,9.847,13.517,15.459,17.031,14.204
"Tungsten Renderer - Scene: Volumetric Caustic (sec)",LIB,5.61440,7.00728,7.24960,7.42195,5.95664,4.96614,9.87930,13.5114,15.2225,16.8367,12.2322
"Embree - Binary: Pathtracer - Model: Asian Dragon (FPS)",HIB,21.8692,17.6307,16.9900,16.8430,20.3789,25.0722,12.5210,9.6303,7.9965,7.3993,10.0729
"Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,230.94,352.16,303.72,317.03,277.96,226.15,433.37,596.32,695.98,765.16,631.26
"LuxCoreRender - Scene: Rainbow Colors and Prism (M samples/sec)",HIB,3.64,2.46,2.73,2.64,3.13,3.81,1.93,1.42,1.26,1.14,1.40
"ASTC Encoder - Preset: Exhaustive (sec)",LIB,105.63,170.21,140.27,145.09,121.94,101.25,199.87,274.19,306.32,337.70,306.90
"Kvazaar - Video Input: Bosphorus 4K - Video Preset: Ultra Fast (FPS)",HIB,45.92,35.25,36.87,36.08,41.70,48.99,30.13,22.84,16.17,14.74,20.85
"Basis Universal - Settings: UASTC Level 3 (sec)",LIB,31.648,46.538,40.666,41.274,33.799,28.259,54.967,73.825,84.725,93.859,80.077
"Timed MPlayer Compilation - Time To Compile (sec)",LIB,20.775,29.038,25.063,25.767,22.023,19.020,33.928,43.900,57.547,62.744,47.827
"ASTC Encoder - Preset: Thorough (sec)",LIB,13.55,21.31,17.81,18.39,15.41,12.85,25.13,34.37,38.39,42.17,38.01
"Tungsten Renderer - Scene: Non-Exponential (sec)",LIB,4.38473,5.14603,5.79338,5.80923,4.68310,3.78827,7.58343,10.4378,11.2984,12.4271,8.89984
"Kvazaar - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS)",HIB,25.17,19.57,21.16,20.64,23.74,26.59,16.95,12.75,8.90,8.11,11.47
"LuxCoreRender - Scene: DLSC (M samples/sec)",HIB,3.29,2.21,2.50,2.40,2.93,3.59,1.80,1.33,1.22,1.10,1.26
"Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Slow (FPS)",HIB,36.26,28.39,27.66,27.34,30.56,38.43,25.54,17.89,13.02,11.81,16.12
"Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,81.77,114.70,106.80,111.61,95.02,78.28,150.76,205.38,230.28,254.58,203.69
"TensorFlow Lite - Model: Inception ResNet V2 (us)",LIB,1288407,2139593,1761010,1795013,1598013,1212237,2351497,3356693,3446837,3834677,3938063
"Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Medium (FPS)",HIB,37.16,29.36,28.56,28.13,31.47,39.37,26.20,18.36,13.39,12.13,16.67
"LAMMPS Molecular Dynamics Simulator - Model: Rhodopsin Protein (ns/day)",HIB,11.541,8.701,9.487,9.262,10.719,13.091,6.880,5.266,4.576,4.035,5.293
"TensorFlow Lite - Model: Mobilenet Float (us)",LIB,66530.3,114230,92214.2,93903.6,83458.7,62588.7,120735,171301,175332,195793,202481
"TensorFlow Lite - Model: Inception V4 (us)",LIB,1432403,2372930,1961940,1999070,1780380,1346957,2600840,3713107,3818640,4238377,4350823
"NAMD - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,1.14997,1.23607,1.49526,1.54488,1.27408,1.07098,2.11711,2.86995,3.16104,3.45209,2.08559
"POV-Ray - Trace Time (sec)",LIB,23.510,33.731,30.580,31.534,27.417,23.011,42.767,58.728,67.329,74.150,59.339
"x265 - Video Input: Bosphorus 4K (FPS)",HIB,23.09,18.81,19.65,19.37,23.54,26.50,12.48,11.70,9.10,8.30,12.56
"oneDNN - Harness: IP Batch All - Data Type: f32 - Engine: CPU (ms)",LIB,47.4722,57.1675,56.2274,51.4238,48.4101,45.7354,64.0201,71.4563,132.882,145.400,64.9448
"C-Ray - Total Time - 4K, 16 Rays Per Pixel (sec)",LIB,31.326,52.127,42.030,42.894,37.783,30.220,60.023,82.441,86.816,95.463,94.601
"GraphicsMagick - Operation: Resizing (Iterations/min)",HIB,1829,1264,1415,1432,1610,1893,1031,760,638,600,739
"Timed Linux Kernel Compilation - Time To Compile (sec)",LIB,47.358,63.946,56.776,57.907,52.268,45.421,76.685,100.404,130.232,142.561,106.429
"TensorFlow Lite - Model: SqueezeNet (us)",LIB,100527,167595,135602,138101,123127,94678.2,180202,251199,258726,288755,296354
"Rodinia - Test: OpenMP CFD Solver (sec)",LIB,10.819,18.343,13.294,13.597,12.172,10.267,22.290,27.160,30.499,31.784,28.486
"Tungsten Renderer - Scene: Hair (sec)",LIB,13.5383,20.0703,17.3795,17.9331,15.6794,13.1398,24.3744,33.1689,36.9568,40.5902,35.6785
"Timed LLVM Compilation - Time To Compile (sec)",LIB,364.327,506.573,432.302,446.179,402.442,361.166,586.162,748.564,1024.461,1114.219,807.290
"Numenta Anomaly Benchmark - Detector: Earthgecko Skyline (sec)",LIB,77.852,93.113,83.189,86.301,70.611,67.899,113.800,150.813,193.624,209.268,152.563
"TensorFlow Lite - Model: Mobilenet Quant (us)",LIB,68497.9,117619,94517.0,96280.2,91290.4,67914.5,123482,175736,188045,209204,205404
"Timed FFmpeg Compilation - Time To Compile (sec)",LIB,33.467,44.869,39.518,40.482,34.155,29.818,51.240,65.266,83.974,91.675,70.339
"Appleseed - Scene: Emily (sec)",LIB,208.357892,299.905069,259.329077,267.066755,224.293568,192.180223,349.398288,470.178012,539.894917,590.159683,511.741596
"Basis Universal - Settings: UASTC Level 2 (sec)",LIB,18.304,25.177,22.631,22.878,18.715,15.960,29.322,38.667,43.927,48.560,41.399
"7-Zip Compression - Compress Speed Test (MIPS)",HIB,90071,64772,77550,76909,89437,94779,56370,43855,33526,31429,41897
"x264 - H.264 Video Encoding (FPS)",HIB,162.49,126.19,139.09,136.32,158.81,172.75,98.32,77.19,62.20,57.58,75.14
"SVT-VP9 - Tuning: Visual Quality Optimized - Input: Bosphorus 1080p (FPS)",HIB,200.83,186.01,180.29,180.89,206.64,220.35,119.86,109.32,81.38,75.58,122.76
"Appleseed - Scene: Disney Material (sec)",LIB,119.857197,178.124035,156.530111,161.513865,142.649626,117.669097,214.510759,291.011023,317.66645,342.043083,305.766269
"Sunflow Rendering System - Global Illumination + Image Synthesis (sec)",LIB,0.697,0.781,0.805,0.842,0.684,0.627,1.007,1.340,1.591,1.806,1.295
"Polyhedron Fortran Benchmarks - Benchmark: linpk (sec)",LIB,3.03,2.28,3.22,3.2,1.53,1.54,3.12,3.13,4.34,4.4,2.64
"Appleseed - Scene: Material Tester (sec)",LIB,125.260331,166.409258,155.823422,160.127712,134.449186,111.389784,199.42983,265.419862,289.144262,315.828228,282.580945
"NeatBench - Acceleration: CPU (FPS)",HIB,27.3,18.3,25.1,24.7,28.3,30.3,21.9,18.9,11.5,10.8,14.4
"Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Ultra Fast (FPS)",HIB,145.91,129.64,119.07,117.56,130.30,155.81,112.90,85.57,61.81,56.02,79.10
"Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Very Fast (FPS)",HIB,82.24,69.90,63.26,62.50,69.63,86.94,60.10,48.14,34.63,31.37,43.82
"GROMACS - Water Benchmark (Ns/Day)",HIB,1.236,0.977,1.136,1.133,1.284,1.290,0.823,0.733,0.504,0.469,0.842
"Numenta Anomaly Benchmark - Detector: Relative Entropy (sec)",LIB,14.730,16.990,16.026,16.258,13.253,12.235,19.006,24.810,30.375,33.505,24.800
"Timed ImageMagick Compilation - Time To Compile (sec)",LIB,20.576,24.738,22.766,23.221,19.524,18.171,27.965,33.447,45.133,48.653,35.433
"Mobile Neural Network - Model: inception-v3 (ms)",LIB,36.984,29.427,32.484,31.547,26.881,26.798,32.458,36.023,66.457,71.569,38.470
"Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,8.162,4.331,7.235,7.234,6.111,6.448,6.034,6.562,10.647,11.525,5.651
"Numenta Anomaly Benchmark - Detector: Windowed Gaussian (sec)",LIB,7.276,8.099,8.187,8.613,7.495,6.764,9.625,13.982,15.753,17.548,14.129
"SciMark - Computational Test: Fast Fourier Transform (Mflops)",HIB,374.19,390.00,371.29,310.86,495.79,521.05,262.48,306.45,201.06,200.98,265.78
"libavif avifenc - Encoder Speed: 0 (sec)",LIB,59.399,71.859,67.303,68.184,58.650,52.752,80.884,101.968,124.210,135.738,106.409
"OCRMyPDF - Processing 60 Page PDF Document (sec)",LIB,18.731,19.837,20.555,21.027,17.192,15.582,24.027,30.149,36.485,40.081,29.498
"NCNN - Target: CPU - Model: mobilenet (ms)",LIB,17.12,16.41,16.50,16.49,12.36,12.65,17.08,18.83,29.38,31.68,18.79
"libavif avifenc - Encoder Speed: 2 (sec)",LIB,35.675,42.772,40.427,41.110,35.206,32.199,48.524,61.339,74.505,81.882,63.899
"SVT-VP9 - Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p (FPS)",HIB,217.13,210.08,198.20,202.63,226.26,234.14,149.99,134.25,99.99,92.99,154.53
"dav1d - Video Input: Chimera 1080p (FPS)",HIB,619.21,785.87,585.47,586.78,661.39,688.70,514.32,438.49,335.74,316.11,550.52
"Timed PHP Compilation - Time To Compile (sec)",LIB,42.373,47.793,46.271,46.785,40.115,37.369,54.144,64.412,84.470,91.414,66.256
"Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,5.716,2.823,4.022,3.988,3.058,3.849,3.375,3.960,6.129,6.606,3.401
"TensorFlow Lite - Model: NASNet Mobile (us)",LIB,117199,147694,139014,140368,122229,106372,156768,213644,222099,248092,236704
"dav1d - Video Input: Summer Nature 4K (FPS)",HIB,201.96,183.54,197.64,197.62,228.06,231.45,171.17,145.19,105.81,99.86,143.26
"Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,42.129,25.310,33.468,33.074,27.056,28.378,29.532,30.257,52.974,58.154,32.475
"NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,7.10,5.89,6.62,6.61,5.19,5.25,7.01,7.36,10.63,11.71,6.83
"DaCapo Benchmark - Java Test: Tradesoap (msec)",LIB,3460,2884,3348,3389,2836,2925,3663,4395,5978,6357,3977
"Numenta Anomaly Benchmark - Detector: Bayesian Changepoint (sec)",LIB,25.656,33.140,26.855,28.134,22.770,22.196,32.717,36.341,44.807,49.371,44.937
"Rodinia - Test: OpenMP Leukocyte (sec)",LIB,77.777,82.982,86.786,88.589,72.564,69.810,118.735,127.402,141.018,154.758,131.403
"Nebular Empirical Analysis Tool - (sec)",LIB,12.242,14.234,13.226,13.477,11.016,10.363,14.968,18.048,20.882,22.752,19.679
"NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,5.82,5.06,5.39,5.40,4.14,4.37,5.55,5.64,8.05,8.84,5.33
"LibRaw - Post-Processing Benchmark (Mpix/sec)",HIB,44.57,41.50,43.59,43.19,53.42,54.99,41.76,39.02,28.68,26.28,36.94
"NCNN - Target: CPU - Model: squeezenet (ms)",LIB,15.97,14.04,16.39,15.95,12.95,13.30,16.29,17.88,25.38,26.90,16.17
"Zstd Compression - Compression Level: 19 (MB/s)",HIB,39.5,30.3,38.9,38.7,44.6,44.2,32.3,27,22.1,21.6,37.2
"AOM AV1 - Encoder Mode: Speed 8 Realtime (FPS)",HIB,38.90,49.04,38.32,38.03,53.19,52.94,38.59,38.20,29.81,25.99,45.81
"Zstd Compression - Compression Level: 3 (MB/s)",HIB,4059.1,2922.3,4483.5,4499.8,5879.8,4896.1,4265.9,4561.3,3309.9,3204.6,3633.4
"AOM AV1 - Encoder Mode: Speed 4 Two-Pass (FPS)",HIB,2.72,2.92,2.71,2.68,3.36,3.38,2.71,2.56,1.85,1.70,2.61
"PlaidML - FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU (FPS)",HIB,7.22,7.38,7.03,7.14,11.08,11.24,6.92,6.59,5.98,5.66,6.48
"PlaidML - FP16: No - Mode: Inference - Network: Inception V3 - Device: CPU (FPS)",HIB,11.15,9.21,10.61,10.59,12.43,12.61,9.79,8.94,6.82,6.35,7.88
"NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,29.08,25.00,28.68,28.90,21.81,22.63,28.03,29.79,39.34,42.51,27.79
"NCNN - Target: CPU - Model: resnet50 (ms)",LIB,29.91,24.28,27.66,27.82,24.29,25.48,28.47,31.60,43.77,47.04,29.20
"Tungsten Renderer - Scene: Water Caustic (sec)",LIB,21.2263,23.5822,23.8269,24.1102,21.2532,19.4728,25.8801,30.4813,34.8832,37.5615,29.7953
"AOM AV1 - Encoder Mode: Speed 6 Two-Pass (FPS)",HIB,4.18,4.65,4.18,4.16,5.26,5.24,4.20,3.97,2.98,2.74,4.17
"NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,5.15,4.00,4.75,4.75,3.99,4.16,4.83,5.08,7.10,7.65,4.41
"Timed GDB GNU Debugger Compilation - Time To Compile (sec)",LIB,90.547,87.429,94.033,94.925,83.576,82.465,99.062,109.636,137.799,157.408,110.030
"AOM AV1 - Encoder Mode: Speed 6 Realtime (FPS)",HIB,19.47,25.67,19.64,19.82,25.30,25.45,19.47,19.26,14.84,13.58,21.70
"WireGuard + Linux Networking Stack Stress Test - (sec)",LIB,195.779,176.739,194.851,196.117,155.876,149.621,183.716,197.374,264.865,281.740,174.718
"PlaidML - FP16: No - Mode: Inference - Network: Mobilenet - Device: CPU (FPS)",HIB,16.85,17.06,16.38,16.40,23.20,23.64,15.65,14.76,13.23,12.57,14.48
"Perl Benchmarks - Test: Pod2html (sec)",LIB,0.11059513,0.09765781,0.11338212,0.11095995,0.08573340,0.08659397,0.11018877,0.11643247,0.14829577,0.15978746,0.10063976
"Radiance Benchmark - Test: Serial (sec)",LIB,522.735,588.161,526.457,546.888,430.236,426.53,529.704,549.021,737.376,788.876,611.639
"Basis Universal - Settings: UASTC Level 0 (sec)",LIB,6.365,6.371,6.760,6.715,5.426,5.252,6.797,7.620,8.954,9.703,7.595
"Numpy Benchmark - (Score)",HIB,422.17,451.53,425.55,409.49,550.69,542.76,432.12,415.99,318.91,299.09,413.80
"DaCapo Benchmark - Java Test: Jython (msec)",LIB,3946,3319,3963,3990,3068,3066,3965,4215,5232,5626,3676
"Timed Apache Compilation - Time To Compile (sec)",LIB,20.214,18.040,20.674,20.919,17.293,17.189,21.203,22.725,28.527,31.456,21.479
"PyPerformance - Benchmark: raytrace (Milliseconds)",LIB,417,353,413,428,344,344,406,427,582,627,373
"NCNN - Target: CPU - Model: googlenet (ms)",LIB,19.24,13.28,17.31,17.38,12.68,13.43,16.05,17.03,21.21,23.09,14.92
"Radiance Benchmark - Test: SMP Parallel (sec)",LIB,169.173,183.252,170.083,171.793,134.279,135.234,167.356,172.484,233.404,243.894,192.56
"Timed MAFFT Alignment - Multiple Sequence Alignment - LSU RNA (sec)",LIB,8.591,8.702,8.973,8.907,7.365,7.350,11.018,11.424,12.586,13.239,8.750
"VP9 libvpx Encoding - Speed: Speed 5 (FPS)",HIB,25.37,30.34,25.64,25.83,31.12,30.81,26.99,25.99,19.30,17.34,28.66
"SciMark - Computational Test: Composite (Mflops)",HIB,751.35,829.30,743.57,717.42,871.93,885.60,732.75,716.75,528.11,494.99,741.22
"SQLite Speedtest - Timed Time - Size 1,000 (sec)",LIB,55.072,46.564,56.773,55.784,41.538,42.682,53.977,57.300,69.107,73.928,49.054
"PyPerformance - Benchmark: nbody (Milliseconds)",LIB,102,93.0,101,103,88.7,89.0,100,105,142,156,98.7
"VP9 libvpx Encoding - Speed: Speed 0 (FPS)",HIB,7.83,8.08,7.80,7.73,9.51,9.50,8.08,7.69,5.89,5.43,7.88
"Inkscape - Operation: SVG Files To PNG (sec)",LIB,23.917,19.857,23.776,24.213,18.317,18.545,23.778,23.878,28.492,31.699,20.864
"GIMP - Test: resize (sec)",LIB,7.289,6.804,7.381,7.491,6.344,6.298,7.673,8.236,9.668,10.864,7.926
"libjpeg-turbo tjbench - Test: Decompression Throughput (Megapixels/sec)",HIB,225.709372,237.256549,221.002970,229.313087,281.149611,281.528498,232.686217,221.219799,176.660647,164.171855,223.570648
"Crafty - Elapsed Time (Nodes/s)",HIB,9195403,10087418,9071528,9268070,11404838,11519567,8805287,8912018,7221279,6718403,9196154
"ASTC Encoder - Preset: Medium (sec)",LIB,6.27,6.80,7.04,7.07,6.01,5.60,7.98,9.60,6.44,7.09,9.45
"Selenium - Benchmark: ARES-6 - Browser: Google Chrome (ms)",LIB,18.51,15.82,18.38,18.56,14.81,14.75,18.06,18.97,23.29,25.19,17.05
"Basis Universal - Settings: ETC1S (sec)",LIB,42.255,43.301,43.549,44.349,37.395,36.778,45.826,51.351,57.806,62.729,52.408
"Selenium - Benchmark: Speedometer - Browser: Google Chrome (Runs/min)",HIB,141.8,138,142.4,140.2,167,167.0,143.2,136.5,106.0,97.95,135
"Selenium - Benchmark: StyleBench - Browser: Google Chrome (Runs / Minute)",HIB,36.4,35.2,36.3,36.2,44.8,44.4,36.5,35.33,29.0,26.28,36.80
"Timed MrBayes Analysis - Primate Phylogeny Analysis (sec)",LIB,70.243,63.630,69.941,72.744,56.992,61.580,66.905,69.253,87.269,97.132,68.834
"Fhourstones - Complex Connect-4 Solving (Kpos / sec)",HIB,15875.8,17624.8,15572.8,15451.0,20018.5,20223.0,16160.1,15263.7,13100.0,11869.6,15846.1
"GraphicsMagick - Operation: Rotate (Iterations/min)",HIB,799,945,726,766,1056,1042,794,754,657,623,862
"Polyhedron Fortran Benchmarks - Benchmark: protein (sec)",LIB,12.03,11.64,12.12,12.23,9.28,9.22,11.54,12.14,14.51,15.61,12.35
"Monte Carlo Simulations of Ionised Nebulae - Input: Dust 2D tau100.0 (sec)",LIB,199,166,205,211,179,180,211,233,253,279,207
"PyPerformance - Benchmark: pathlib (Milliseconds)",LIB,15.6,14.3,15.4,15.8,12.7,12.7,15.2,16.1,19.9,21.3,15.2
"LibreOffice - Test: 20 Documents To PDF (sec)",LIB,6.412,6.289,6.355,6.506,5.142,5.126,6.207,6.481,7.879,8.542,6.568
"dav1d - Video Input: Chimera 1080p 10-bit (FPS)",HIB,113.75,131.94,110.90,110.59,128.47,133.14,105.06,97.93,86.48,80.09,102.72
"Hierarchical INTegration - Test: FLOAT (QUIPs)",HIB,406108737.67552,511718743.40279,385672695.95056,401445819.03219,517301573.26234,535283139.77587,406360022.76109,390856008.08384,344830613.40160,322438360.17101,481073602.70390
"PyPerformance - Benchmark: regex_compile (Milliseconds)",LIB,153,134,153,158,123,123,150,158,189,204,140
"Selenium - Benchmark: Jetstream 2 - Browser: Google Chrome (Score)",HIB,152.151,163.678,152.931,151.423,188.916,187.719,155.617,148.976,125.797,114.184,153.240
"Montage Astronomical Image Mosaic Engine - Mosaic of M17, K band, 1.5 deg x 1.5 deg (sec)",LIB,69.702,66.371,68.888,71.621,57.355,57.716,69.193,72.086,88.007,94.120,70.283
"Rodinia - Test: OpenMP HotSpot3D (sec)",LIB,79.925,83.891,79.756,81.104,66.744,63.862,80.938,87.086,99.307,104.312,91.898
"RawTherapee - Total Benchmark Time (sec)",LIB,52.391,53.667,53.509,54.341,45.853,46.340,57.837,63.409,68.606,74.654,60.928
"Selenium - Benchmark: Kraken - Browser: Google Chrome (ms)",LIB,700.5,754.9,705.8,715.3,589.9,590.1,686.9,721.3,878.4,953.1,757.0
"PyPerformance - Benchmark: python_startup (Milliseconds)",LIB,8.10,6.74,8.01,8.12,6.38,6.42,7.19,7.53,8.71,10.3,6.93
"PyBench - Total For Average Test Times (Milliseconds)",LIB,876,773,866,888,730,718,871,888,1062,1159,820
"Selenium - Benchmark: WASM collisionDetection - Browser: Firefox (ms)",LIB,362.2,419.1,360.7,369.6,291.4,297.7,347.7,367.7,438.5,468.8,450.8
"WebP Image Encode - Encode Settings: Quality 100, Lossless (Encode Time - sec)",LIB,15.638,15.084,14.855,15.258,12.629,12.764,15.036,15.618,18.760,20.229,15.452
"LAME MP3 Encoding - WAV To MP3 (sec)",LIB,6.894,6.966,6.964,7.081,5.621,5.562,6.658,7.067,8.213,8.812,7.397
"eSpeak-NG Speech Engine - Text-To-Speech Synthesis (sec)",LIB,26.677,25.302,26.711,26.807,21.318,21.464,26.077,27.480,30.828,33.376,26.772
"libavif avifenc - Encoder Speed: 8 (sec)",LIB,4.453,4.538,4.586,4.616,4.264,4.258,4.733,5.322,6.153,6.643,5.434
"Caffe - Model: AlexNet - Acceleration: CPU - Iterations: 200 (ms)",LIB,105617,75313,105803,107356,78347,80924,96129,97587,108344,117470,89584
"WebP Image Encode - Encode Settings: Quality 100, Highest Compression (Encode Time - sec)",LIB,6.748,6.024,6.555,6.804,5.340,5.334,6.567,6.916,7.753,8.290,6.387
"Perl Benchmarks - Test: Interpreter (sec)",LIB,0.00076862,0.00070228,0.00075364,0.00074999,0.00065021,0.00064973,0.00069996,0.00073548,0.00088459,0.00100830,0.00073281
"GNU Octave Benchmark - (sec)",LIB,6.469,5.897,6.595,6.755,5.193,5.180,6.484,6.573,7.520,7.927,6.190
"C-Blosc - Compressor: blosclz (MB/s)",HIB,11474.9,10815.8,11473.9,11595.2,14645.4,14032.5,11505.5,11552.0,9986.4,9570.9,10868.2
"FLAC Audio Encoding - WAV To FLAC (sec)",LIB,7.455,7.173,7.538,7.579,6.440,6.373,7.340,7.695,9.124,9.748,7.587
"DaCapo Benchmark - Java Test: H2 (msec)",LIB,3255,2747,3050,3130,2656,2712,2908,3090,3559,4061,2778
"GIMP - Test: rotate (sec)",LIB,11.265,10.404,11.116,11.145,9.320,9.431,10.811,11.130,12.838,14.220,10.818
"Tesseract OCR - Time To OCR 7 Images (sec)",LIB,22.740,19.174,23.003,23.066,19.375,19.349,21.751,22.615,26.820,29.144,20.346
"WebP Image Encode - Encode Settings: Quality 100 (Encode Time - sec)",LIB,2.161,2.009,2.088,2.175,1.743,1.729,2.099,2.189,2.442,2.621,2.115
"libavif avifenc - Encoder Speed: 10 (sec)",LIB,4.305,4.379,4.336,4.395,4.138,4.133,4.456,4.970,5.820,6.252,5.102
"CloverLeaf - Lagrangian-Eulerian Hydrodynamics (sec)",LIB,3.86,5.64,3.99,3.89,3.73,3.85,5.06,4.90,4.54,4.53,4.04
"WebP Image Encode - Encode Settings: Default (Encode Time - sec)",LIB,1.369,1.294,1.365,1.414,1.153,1.145,1.367,1.434,1.615,1.728,1.374
"FFTE - N=256, 3D Complex FFT Routine (MFLOPS)",HIB,38565.531315546,25630.005048964,35670.008724723,36851.901582848,37925.620893458,36137.493677561,37466.482170039,34238.231086660,32899.687800646,31041.651739149,34083.368614570
"Dolfyn - Computational Fluid Dynamics (sec)",LIB,15.568,16.398,15.636,16.128,12.840,12.820,15.382,16.154,18.029,19.282,17.131
"ctx_clock - Context Switch Time (Clocks)",LIB,175,150,177,190,148,136,156,190,180,204,178
"Caffe - Model: GoogleNet - Acceleration: CPU - Iterations: 200 (ms)",LIB,265131,196074,258972,262738,200676,214239,234440,237908,269113,293683,231683
"BYTE Unix Benchmark - Computational Test: Dhrystone 2 (LPS)",HIB,44123395.7,52005432.9,44714220.6,44081890.7,55937330.1,56105538.1,44883700.9,43647479.3,40472566.0,37514301.8,47964784.2
"GIMP - Test: auto-levels (sec)",LIB,12.250,10.442,11.876,11.916,9.915,10.314,11.239,11.590,13.453,14.812,11.203
"G'MIC - Test: Plotting Isosurface Of A 3D Volume, 1000 Times (sec)",LIB,18.333,16.047,18.270,18.196,15.967,15.744,17.767,18.658,21.764,23.415,17.348
"WebP Image Encode - Encode Settings: Quality 100, Lossless, Highest Compression (Encode Time - sec)",LIB,32.301,31.120,32.579,32.012,27.616,27.271,31.204,32.530,38.030,40.304,33.155
"NCNN - Target: CPU - Model: resnet18 (ms)",LIB,17.91,13.56,16.48,16.70,13.32,14.62,16.92,17.57,18.40,19.66,14.89
"GEGL - Operation: Scale (sec)",LIB,5.499,5.311,5.456,5.550,4.593,4.641,5.238,5.528,6.200,6.769,5.639
"Polyhedron Fortran Benchmarks - Benchmark: air (sec)",LIB,1.59,1.99,1.57,1.6,1.36,1.36,1.55,1.63,1.7,1.82,2
"SciMark - Computational Test: Monte Carlo (Mflops)",HIB,165.36,179.16,163.05,159.96,189.65,192.12,168.24,159.39,140.76,131.78,165.10
"RNNoise - (sec)",LIB,17.238,21.061,17.406,18.522,15.613,15.372,17.337,18.260,20.035,21.193,22.370
"Selenium - Benchmark: WASM collisionDetection - Browser: Google Chrome (ms)",LIB,280.0318,340.6818,270.8432,280.2477,253.6500,254.1522,270.4472,285.6642,334.7033,360.7470,368.4442
"GEGL - Operation: Color Enhance (sec)",LIB,54.089,49.231,53.688,54.672,45.054,45.045,52.447,55.211,60.686,65.311,52.527
"Selenium - Benchmark: Jetstream 2 - Browser: Firefox (Score)",HIB,105.020,113.690,107.146,105.141,117.138,117.721,107.560,105.770,89.869,81.604,106.603
"GEGL - Operation: Rotate 90 Degrees (sec)",LIB,37.232,32.355,37.191,37.459,30.883,30.851,36.460,38.552,40.675,44.122,35.095
"GEGL - Operation: Crop (sec)",LIB,8.074,7.461,7.943,8.057,6.747,6.842,7.757,8.026,8.737,9.623,7.681
"Selenium - Benchmark: Kraken - Browser: Firefox (ms)",LIB,731.0,709.4,714.9,745.9,663.0,673.1,708.1,737.2,856.8,940.0,745.5
"GEGL - Operation: Antialias (sec)",LIB,36.636,31.729,35.988,36.782,30.559,30.738,34.738,36.752,39.746,43.248,34.123
"Selenium - Benchmark: WASM imageConvolute - Browser: Google Chrome (ms)",LIB,27.324,27.7527,27.0880,28.4992,24.2365,24.5738,26.4595,27.899,32.3458,34.0823,29.4177
"GEGL - Operation: Reflect (sec)",LIB,29.181,25.450,29.069,29.465,24.533,24.668,28.355,29.670,31.524,34.087,27.035
"Mlpack Benchmark - Benchmark: scikit_svm (sec)",LIB,19.13,20.36,18.90,18.79,16.48,16.17,18.43,19.10,20.15,21.82,22.38
"Selenium - Benchmark: WASM imageConvolute - Browser: Firefox (ms)",LIB,26.9,26.8,26.2,26.7,24.1,24.1,25.4,27.0,30.8,33.2,29.0
"Botan - Test: Twofish (MiB/s)",HIB,400.119,446.453,393.717,403.651,461.362,465.902,411.267,390.471,370.256,343.934,420.583
"DeepSpeech - Acceleration: CPU (sec)",LIB,63.23064,78.01743,65.57842,65.37162,58.40233,59.64680,61.24351,57.69822,69.06352,76.08807,64.06862
"Botan - Test: Blowfish (MiB/s)",HIB,501.990,556.852,488.014,492.735,548.748,550.628,499.691,480.701,455.947,420.788,523.673
"TNN - Target: CPU - Model: MobileNet v2 (ms)",LIB,258.827,282.645,255.505,256.339,227.294,228.342,246.791,257.797,282.943,300.338,294.966
"TNN - Target: CPU - Model: SqueezeNet v1.1 (ms)",LIB,240.335,261.564,236.447,235.518,215.546,213.838,231.374,240.275,260.659,278.618,278.408
"Botan - Test: CAST-256 (MiB/s)",HIB,157.120,176.074,159.834,162.647,173.790,177.013,168.045,157.465,148.856,137.693,165.638
"Selenium - Benchmark: Maze Solver - Browser: Firefox (sec)",LIB,4.5,5.5,4.4,4.4,4.3,4.4,4.3,4.4,5.0,5.2,5.4
"Selenium - Benchmark: Maze Solver - Browser: Google Chrome (sec)",LIB,4.3,5.0,4.2,4.2,4.0,4,4.2,4.2,4.6,5,5.1
"Mlpack Benchmark - Benchmark: scikit_qda (sec)",LIB,69.64,62.64,68.16,67.79,60.45,62.55,66.46,66.25,72.47,75.34,69.01