Ryzen 5 5600X Linux Performance

AMD Ryzen 5 5600X initial Linux benchmarks by Michael Larabel for a future article.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2011066-FI-AMDRYZEN960
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Audio Encoding 2 Tests
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C/C++ Compiler Tests 35 Tests
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CPU Massive 47 Tests
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HPC - High Performance Computing 26 Tests
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Java 2 Tests
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Date
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  Test
  Duration
Core i5 10600K
November 01 2020
  12 Hours, 45 Minutes
Core i9 10900K
October 16 2020
  10 Hours, 19 Minutes
Ryzen 5 2600
October 31 2020
  16 Hours, 2 Minutes
Ryzen 5 2600X
October 30 2020
  15 Hours, 31 Minutes
Ryzen 5 3600X
October 29 2020
  12 Hours, 32 Minutes
Ryzen 7 3800XT
October 27 2020
  11 Hours, 40 Minutes
Ryzen 9 3900X
October 18 2020
  10 Hours, 45 Minutes
Ryzen 9 3900XT
October 17 2020
  10 Hours, 27 Minutes
Ryzen 9 3950X
October 15 2020
  9 Hours, 57 Minutes
Ryzen 5 5600X
November 05 2020
  11 Hours, 32 Minutes
Ryzen 9 5900X
October 19 2020
  10 Hours, 19 Minutes
Ryzen 9 5950X
October 21 2020
  8 Hours, 23 Minutes
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  11 Hours, 41 Minutes

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Ryzen 5 5600X Linux Performance AMD Ryzen 5 5600X initial Linux benchmarks by Michael Larabel for a future article. ,,"Core i5 10600K","Core i9 10900K","Ryzen 5 2600","Ryzen 5 2600X","Ryzen 5 3600X","Ryzen 7 3800XT","Ryzen 9 3900X","Ryzen 9 3900XT","Ryzen 9 3950X","Ryzen 5 5600X","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 2600 Six-Core @ 3.40GHz (6 Cores / 12 Threads),AMD Ryzen 5 2600X Six-Core @ 3.60GHz (6 Cores / 12 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 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) (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) Chipset,,Intel Comet Lake PCH,Intel Comet Lake PCH,AMD 17h,AMD 17h,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,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,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),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,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,ASUS MG28U Network,,,,,,,,,,,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,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),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,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,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,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),4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0) Vulkan,,1.2.145,1.2.145,1.2.145,1.2.145,1.2.145,1.2.145,1.2.145,1.2.145,1.2.145,1.2.145,1.2.145,1.2.145 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,GCC 9.3.0 File-System,,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4 Screen Resolution,,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080 ,,"Core i5 10600K","Core i9 10900K","Ryzen 5 2600","Ryzen 5 2600X","Ryzen 5 3600X","Ryzen 7 3800XT","Ryzen 9 3900X","Ryzen 9 3900XT","Ryzen 9 3950X","Ryzen 5 5600X","Ryzen 9 5900X","Ryzen 9 5950X" "WireGuard + Linux Networking Stack Stress Test - (sec)",LIB,174.718,176.739,281.740,264.865,197.374,183.716,196.117,194.851,195.779,129.375,155.876,149.621 "C-Blosc - Compressor: blosclz (MB/s)",HIB,10868.2,10815.8,9570.9,9986.4,11552.0,11505.5,11595.2,11473.9,11474.9,15561.0,14645.4,14032.5 "CloverLeaf - Lagrangian-Eulerian Hydrodynamics (sec)",LIB,4.04,5.64,4.53,4.54,4.90,5.06,3.89,3.99,3.86,4.51,3.73,3.85 "Rodinia - Test: OpenMP LavaMD (sec)",LIB,306.480,170.152,362.263,330.161,309.606,226.995,164.705,159.413,120.533,231.621,123.339,103.616 "Rodinia - Test: OpenMP HotSpot3D (sec)",LIB,91.898,83.891,104.312,99.307,87.086,80.938,81.104,79.756,79.925,70.558,66.744,63.862 "Rodinia - Test: OpenMP Leukocyte (sec)",LIB,131.403,82.982,154.758,141.018,127.402,118.735,88.589,86.786,77.777,106.397,72.564,69.810 "Rodinia - Test: OpenMP CFD Solver (sec)",LIB,28.486,18.343,31.784,30.499,27.160,22.290,13.597,13.294,10.819,21.283,12.172,10.267 "NAMD - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,2.08559,1.23607,3.45209,3.16104,2.86995,2.11711,1.54488,1.49526,1.14997,2.37935,1.27408,1.07098 "Dolfyn - Computational Fluid Dynamics (sec)",LIB,17.131,16.398,19.282,18.029,16.154,15.382,16.128,15.636,15.568,13.137,12.840,12.820 "Nebular Empirical Analysis Tool - (sec)",LIB,19.679,14.234,22.752,20.882,18.048,14.968,13.477,13.226,12.242,15.167,11.016,10.363 "Polyhedron Fortran Benchmarks - Benchmark: air (sec)",LIB,2,1.99,1.82,1.7,1.63,1.55,1.6,1.57,1.59,1.37,1.36,1.36 "Polyhedron Fortran Benchmarks - Benchmark: linpk (sec)",LIB,2.64,2.28,4.4,4.34,3.13,3.12,3.2,3.22,3.03,1.55,1.53,1.54 "Polyhedron Fortran Benchmarks - Benchmark: protein (sec)",LIB,12.35,11.64,15.61,14.51,12.14,11.54,12.23,12.12,12.03,9.4,9.28,9.22 "FFTE - N=256, 3D Complex FFT Routine (MFLOPS)",HIB,34083.368614570,25630.005048964,31041.651739149,32899.687800646,34238.231086660,37466.482170039,36851.901582848,35670.008724723,38565.531315546,36604.364895923,37925.620893458,36137.493677561 "Timed MrBayes Analysis - Primate Phylogeny Analysis (sec)",LIB,68.834,63.630,97.132,87.269,69.253,66.905,72.744,69.941,70.243,54.525,56.992,61.580 "Timed MAFFT Alignment - Multiple Sequence Alignment - LSU RNA (sec)",LIB,8.750,8.702,13.239,12.586,11.424,11.018,8.907,8.973,8.591,8.515,7.365,7.350 "Monte Carlo Simulations of Ionised Nebulae - Input: Dust 2D tau100.0 (sec)",LIB,207,166,279,253,233,211,211,205,199,203,179,180 "LAMMPS Molecular Dynamics Simulator - Model: Rhodopsin Protein (ns/day)",HIB,5.293,8.701,4.035,4.576,5.266,6.880,9.262,9.487,11.541,6.052,10.719,13.091 "WebP Image Encode - Encode Settings: Default (Encode Time - sec)",LIB,1.374,1.294,1.728,1.615,1.434,1.367,1.414,1.365,1.369,1.177,1.153,1.145 "WebP Image Encode - Encode Settings: Quality 100 (Encode Time - sec)",LIB,2.115,2.009,2.621,2.442,2.189,2.099,2.175,2.088,2.161,1.821,1.743,1.729 "WebP Image Encode - Encode Settings: Quality 100, Lossless (Encode Time - sec)",LIB,15.452,15.084,20.229,18.760,15.618,15.036,15.258,14.855,15.638,13.261,12.629,12.764 "WebP Image Encode - Encode Settings: Quality 100, Highest Compression (Encode Time - sec)",LIB,6.387,6.024,8.290,7.753,6.916,6.567,6.804,6.555,6.748,5.454,5.340,5.334 "WebP Image Encode - Encode Settings: Quality 100, Lossless, Highest Compression (Encode Time - sec)",LIB,33.155,31.120,40.304,38.030,32.530,31.204,32.012,32.579,32.301,27.908,27.616,27.271 "DaCapo Benchmark - Java Test: H2 (msec)",LIB,2778,2747,4061,3559,3090,2908,3130,3050,3255,2519,2656,2712 "DaCapo Benchmark - Java Test: Jython (msec)",LIB,3676,3319,5626,5232,4215,3965,3990,3963,3946,3313,3068,3066 "DaCapo Benchmark - Java Test: Tradesoap (msec)",LIB,3977,2884,6357,5978,4395,3663,3389,3348,3460,3531,2836,2925 "Fhourstones - Complex Connect-4 Solving (Kpos / sec)",HIB,15846.1,17624.8,11869.6,13100.0,15263.7,16160.1,15451.0,15572.8,15875.8,20100.7,20018.5,20223.0 "BYTE Unix Benchmark - Computational Test: Dhrystone 2 (LPS)",HIB,47964784.2,52005432.9,37514301.8,40472566.0,43647479.3,44883700.9,44081890.7,44714220.6,44123395.7,54945549.9,55937330.1,56105538.1 "Zstd Compression - Compression Level: 3 (MB/s)",HIB,3633.4,2922.3,3204.6,3309.9,4561.3,4265.9,4499.8,4483.5,4059.1,6000.4,5879.8,4896.1 "Zstd Compression - Compression Level: 19 (MB/s)",HIB,37.2,30.3,21.6,22.1,27,32.3,38.7,38.9,39.5,33.5,44.6,44.2 "SciMark - Computational Test: Composite (Mflops)",HIB,741.22,829.30,494.99,528.11,716.75,732.75,717.42,743.57,751.35,830.95,871.93,885.60 "SciMark - Computational Test: Monte Carlo (Mflops)",HIB,165.10,179.16,131.78,140.76,159.39,168.24,159.96,163.05,165.36,185.18,189.65,192.12 "SciMark - Computational Test: Fast Fourier Transform (Mflops)",HIB,265.78,390.00,200.98,201.06,306.45,262.48,310.86,371.29,374.19,338.34,495.79,521.05 "SciMark - Computational Test: Dense LU Matrix Factorization (Mflops)",HIB,1084.83,1176.07,404.71,431.56,1003.69,1010.57,1000.22,1019.65,1022.73,1476.82,1485.05,1501.03 "Botan - Test: Twofish (MiB/s)",HIB,420.583,446.453,343.934,370.256,390.471,411.267,403.651,393.717,400.119,453.519,461.362,465.902 "Botan - Test: Blowfish (MiB/s)",HIB,523.673,556.852,420.788,455.947,480.701,499.691,492.735,488.014,501.990,539.218,548.748,550.628 "Botan - Test: CAST-256 (MiB/s)",HIB,165.638,176.074,137.693,148.856,157.465,168.045,162.647,159.834,157.120,169.184,173.790,177.013 "LibRaw - Post-Processing Benchmark (Mpix/sec)",HIB,36.94,41.50,26.28,28.68,39.02,41.76,43.19,43.59,44.57,49.12,53.42,54.99 "Crafty - Elapsed Time (Nodes/s)",HIB,9196154,10087418,6718403,7221279,8912018,8805287,9268070,9071528,9195403,11191962,11404838,11519567 "TSCP - AI Chess Performance (Nodes/s)",HIB,1482195,1572770,491520,1125468,1327838,1401832,1376972,1385206,1407253,1900557,1960074,1970776 "John The Ripper - Test: Blowfish (Real C/S)",HIB,13022,23591,9113,10215,10481,14494,20244,20729,28096,16301,30214,38305 "John The Ripper - Test: MD5 (Real C/S)",HIB,752998,1331333,402572,443008,724083,991599,1366667,1413667,1868000,963686,1840667,2226000 "GraphicsMagick - Operation: Rotate (Iterations/min)",HIB,862,945,623,657,754,794,766,726,799,1035,1056,1042 "GraphicsMagick - Operation: Enhanced (Iterations/min)",HIB,150,269,119,131,157,215,298,301,407,176,330,420 "GraphicsMagick - Operation: Resizing (Iterations/min)",HIB,739,1264,600,638,760,1031,1432,1415,1829,915,1610,1893 "oneDNN - Harness: IP Batch 1D - Data Type: f32 - Engine: CPU (ms)",LIB,4.33647,3.28562,10.4448,9.61005,5.73687,6.23646,3.80031,4.81380,4.03926,4.22337,3.00338,3.20910 "oneDNN - Harness: IP Batch All - Data Type: f32 - Engine: CPU (ms)",LIB,64.9448,57.1675,145.400,132.882,71.4563,64.0201,51.4238,56.2274,47.4722,68.3735,48.4101,45.7354 "oneDNN - Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU (ms)",LIB,5.45967,2.96253,12.6867,11.8845,6.59016,4.48876,3.26437,3.15304,2.47606,4.92077,2.72467,2.27610 "oneDNN - Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU (ms)",LIB,8.71910,4.78766,18.9968,17.5858,9.02336,6.86557,5.08460,5.25366,4.29713,7.60324,4.71670,3.71587 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,344.920,214.088,722.395,658.700,318.339,262.999,232.657,220.215,207.121,282.751,179.867,161.223 "dav1d - Video Input: Chimera 1080p (FPS)",HIB,550.52,785.87,316.11,335.74,438.49,514.32,586.78,585.47,619.21,545.09,661.39,688.70 "dav1d - Video Input: Summer Nature 4K (FPS)",HIB,143.26,183.54,99.86,105.81,145.19,171.17,197.62,197.64,201.96,173.18,228.06,231.45 "dav1d - Video Input: Chimera 1080p 10-bit (FPS)",HIB,102.72,131.94,80.09,86.48,97.93,105.06,110.59,110.90,113.75,117.34,128.47,133.14 "TTSIOD 3D Renderer - Phong Rendering With Soft-Shadow Mapping (FPS)",HIB,417.526,706.153,285.889,305.104,420.457,545.543,670.094,684.390,829.786,576.380,873.702,1025.44 "AOM AV1 - Encoder Mode: Speed 4 Two-Pass (FPS)",HIB,2.61,2.92,1.70,1.85,2.56,2.71,2.68,2.71,2.72,3.20,3.36,3.38 "AOM AV1 - Encoder Mode: Speed 6 Realtime (FPS)",HIB,21.70,25.67,13.58,14.84,19.26,19.47,19.82,19.64,19.47,24.53,25.30,25.45 "AOM AV1 - Encoder Mode: Speed 6 Two-Pass (FPS)",HIB,4.17,4.65,2.74,2.98,3.97,4.20,4.16,4.18,4.18,5.06,5.26,5.24 "AOM AV1 - Encoder Mode: Speed 8 Realtime (FPS)",HIB,45.81,49.04,25.99,29.81,38.20,38.59,38.03,38.32,38.90,51.53,53.19,52.94 "Embree - Binary: Pathtracer - Model: Crown (FPS)",HIB,8.5744,15.4247,6.4088,7.0283,8.6544,11.5679,15.6590,16.0926,21.0440,10.6691,19.9229,24.2757 "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,9.7946,17.7041,5.9812,6.5124,8.3025,11.0482,14.9594,15.2873,19.8746,10.3912,19.4679,23.7842 "Embree - Binary: Pathtracer - Model: Asian Dragon (FPS)",HIB,10.0729,17.6307,7.3993,7.9965,9.6303,12.5210,16.8430,16.9900,21.8692,11.9231,20.3789,25.0722 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,12.3370,20.4299,7.1159,7.5856,9.5120,12.4007,16.5255,16.8323,21.6635,12.1775,20.4798,25.5897 "SVT-AV1 - Encoder Mode: Enc Mode 4 - Input: 1080p (FPS)",HIB,2.707,4.320,1.752,1.916,2.465,3.347,4.411,4.493,5.320,2.961,5.315,6.063 "SVT-AV1 - Encoder Mode: Enc Mode 8 - Input: 1080p (FPS)",HIB,21.379,38.233,13.421,14.738,18.512,28.004,35.947,36.592,43.330,22.596,43.148,48.712 "SVT-VP9 - Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p (FPS)",HIB,154.53,210.08,92.99,99.99,134.25,149.99,202.63,198.20,217.13,153.90,226.26,234.14 "SVT-VP9 - Tuning: Visual Quality Optimized - Input: Bosphorus 1080p (FPS)",HIB,122.76,186.01,75.58,81.38,109.32,119.86,180.89,180.29,200.83,126.8,206.64,220.35 "VP9 libvpx Encoding - Speed: Speed 0 (FPS)",HIB,7.88,8.08,5.43,5.89,7.69,8.08,7.73,7.80,7.83,9.68,9.51,9.50 "VP9 libvpx Encoding - Speed: Speed 5 (FPS)",HIB,28.66,30.34,17.34,19.30,25.99,26.99,25.83,25.64,25.37,32.83,31.12,30.81 "x264 - H.264 Video Encoding (FPS)",HIB,75.14,126.19,57.58,62.20,77.19,98.32,136.32,139.09,162.49,93.58,158.81,172.75 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Slow (FPS)",HIB,3.93,6.80,2.91,3.19,4.50,5.96,7.37,7.56,10.26,5.16,8.47,10.80 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Medium (FPS)",HIB,4.04,6.96,2.97,3.27,4.59,6.07,7.51,7.71,10.40,5.25,8.60,10.94 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Slow (FPS)",HIB,16.12,28.39,11.81,13.02,17.89,25.54,27.34,27.66,36.26,20.47,30.56,38.43 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Medium (FPS)",HIB,16.67,29.36,12.13,13.39,18.36,26.20,28.13,28.56,37.16,20.98,31.47,39.37 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS)",HIB,11.47,19.57,8.11,8.90,12.75,16.95,20.64,21.16,25.17,14.63,23.74,26.59 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Ultra Fast (FPS)",HIB,20.85,35.25,14.74,16.17,22.84,30.13,36.08,36.87,45.92,26.22,41.70,48.99 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Very Fast (FPS)",HIB,43.82,69.90,31.37,34.63,48.14,60.10,62.50,63.26,82.24,55.56,69.63,86.94 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Ultra Fast (FPS)",HIB,79.10,129.64,56.02,61.81,85.57,112.90,117.56,119.07,145.91,99.92,130.30,155.81 "x265 - Video Input: Bosphorus 4K (FPS)",HIB,12.56,18.81,8.30,9.10,11.70,12.48,19.37,19.65,23.09,14.47,23.54,26.50 "ACES DGEMM - Sustained Floating-Point Rate (GFLOP/s)",HIB,2.740891,5.303240,0.933703,0.980601,2.285211,3.004623,4.167965,4.236534,5.476733,4.019649,7.431249,9.065396 "Intel Open Image Denoise - Scene: Memorial (Images / Sec)",HIB,6.87,11.10,2.68,3.12,6.36,7.65,11.04,10.46,12.89,6.97,11.91,13.74 "OpenVKL - Benchmark: vklBenchmark (Items / Sec)",HIB,114.36,192.75,67.42,75.14,94.03,128.78,177.75,182.97,236.58,125.94,233.83,286.17 "LuxCoreRender - Scene: DLSC (M samples/sec)",HIB,1.26,2.21,1.10,1.22,1.33,1.80,2.40,2.50,3.29,1.61,2.93,3.59 "LuxCoreRender - Scene: Rainbow Colors and Prism (M samples/sec)",HIB,1.40,2.46,1.14,1.26,1.42,1.93,2.64,2.73,3.64,1.67,3.13,3.81 "7-Zip Compression - Compress Speed Test (MIPS)",HIB,41897,64772,31429,33526,43855,56370,76909,77550,90071,54132,89437,94779 "Stockfish - Total Time (Nodes/s)",HIB,19653079,35726813,16238519,18145930,20871771,27808441,38124311,38915395,52407367,24584351,45601255,56742350 "asmFish - 1024 Hash Memory, 26 Depth (Nodes/s)",HIB,22294478,40392459,17002246,18868750,21747154,29158077,38836873,40082309,52929484,27275192,49348712,59943519 "libavif avifenc - Encoder Speed: 0 (sec)",LIB,106.409,71.859,135.738,124.210,101.968,80.884,68.184,67.303,59.399,88.135,58.650,52.752 "libavif avifenc - Encoder Speed: 2 (sec)",LIB,63.899,42.772,81.882,74.505,61.339,48.524,41.110,40.427,35.675,53.527,35.206,32.199 "libavif avifenc - Encoder Speed: 8 (sec)",LIB,5.434,4.538,6.643,6.153,5.322,4.733,4.616,4.586,4.453,4.864,4.264,4.258 "libavif avifenc - Encoder Speed: 10 (sec)",LIB,5.102,4.379,6.252,5.820,4.970,4.456,4.395,4.336,4.305,4.574,4.138,4.133 "Timed Apache Compilation - Time To Compile (sec)",LIB,21.479,18.040,31.456,28.527,22.725,21.203,20.919,20.674,20.214,19.276,17.293,17.189 "Timed FFmpeg Compilation - Time To Compile (sec)",LIB,70.339,44.869,91.675,83.974,65.266,51.240,40.482,39.518,33.467,56.223,34.155,29.818 "Timed GDB GNU Debugger Compilation - Time To Compile (sec)",LIB,110.030,87.429,157.408,137.799,109.636,99.062,94.925,94.033,90.547,99.306,83.576,82.465 "Timed ImageMagick Compilation - Time To Compile (sec)",LIB,35.433,24.738,48.653,45.133,33.447,27.965,23.221,22.766,20.576,29.815,19.524,18.171 "Timed Linux Kernel Compilation - Time To Compile (sec)",LIB,106.429,63.946,142.561,130.232,100.404,76.685,57.907,56.776,47.358,89.844,52.268,45.421 "Timed LLVM Compilation - Time To Compile (sec)",LIB,807.290,506.573,1114.219,1024.461,748.564,586.162,446.179,432.302,364.327,687.967,402.442,361.166 "Timed MPlayer Compilation - Time To Compile (sec)",LIB,47.827,29.038,62.744,57.547,43.900,33.928,25.767,25.063,20.775,38.574,22.023,19.020 "Timed PHP Compilation - Time To Compile (sec)",LIB,66.256,47.793,91.414,84.470,64.412,54.144,46.785,46.271,42.373,55.961,40.115,37.369 "C-Ray - Total Time - 4K, 16 Rays Per Pixel (sec)",LIB,94.601,52.127,95.463,86.816,82.441,60.023,42.894,42.030,31.326,71.904,37.783,30.220 "POV-Ray - Trace Time (sec)",LIB,59.339,33.731,74.150,67.329,58.728,42.767,31.534,30.580,23.510,50.221,27.417,23.011 "Smallpt - Global Illumination Renderer; 128 Samples (sec)",LIB,14.204,7.905,17.031,15.459,13.517,9.847,7.092,6.944,5.200,11.606,6.160,4.937 "Tungsten Renderer - Scene: Hair (sec)",LIB,35.6785,20.0703,40.5902,36.9568,33.1689,24.3744,17.9331,17.3795,13.5383,27.1991,15.6794,13.1398 "Tungsten Renderer - Scene: Water Caustic (sec)",LIB,29.7953,23.5822,37.5615,34.8832,30.4813,25.8801,24.1102,23.8269,21.2263,26.6276,21.2532,19.4728 "Tungsten Renderer - Scene: Non-Exponential (sec)",LIB,8.89984,5.14603,12.4271,11.2984,10.4378,7.58343,5.80923,5.79338,4.38473,7.46449,4.68310,3.78827 "Tungsten Renderer - Scene: Volumetric Caustic (sec)",LIB,12.2322,7.00728,16.8367,15.2225,13.5114,9.87930,7.42195,7.24960,5.61440,10.2503,5.95664,4.96614 "YafaRay - Total Time For Sample Scene (sec)",LIB,198.112,109.474,231.832,212.242,180.782,133.841,103.713,100.553,79.697,146.319,80.393,66.152 "Numpy Benchmark - (Score)",HIB,413.80,451.53,299.09,318.91,415.99,432.12,409.49,425.55,422.17,543.12,550.69,542.76 "DeepSpeech - Acceleration: CPU (sec)",LIB,64.06862,78.01743,76.08807,69.06352,57.69822,61.24351,65.37162,65.57842,63.23064,50.49585,58.40233,59.64680 "FLAC Audio Encoding - WAV To FLAC (sec)",LIB,7.587,7.173,9.748,9.124,7.695,7.340,7.579,7.538,7.455,6.598,6.440,6.373 "LAME MP3 Encoding - WAV To MP3 (sec)",LIB,7.397,6.966,8.812,8.213,7.067,6.658,7.081,6.964,6.894,5.737,5.621,5.562 "eSpeak-NG Speech Engine - Text-To-Speech Synthesis (sec)",LIB,26.772,25.302,33.376,30.828,27.480,26.077,26.807,26.711,26.677,21.646,21.318,21.464 "m-queens - Time To Solve (sec)",LIB,108.063,59.606,104.796,93.988,90.227,65.340,46.740,45.820,33.840,70.744,37.543,29.547 "Montage Astronomical Image Mosaic Engine - Mosaic of M17, K band, 1.5 deg x 1.5 deg (sec)",LIB,70.283,66.371,94.120,88.007,72.086,69.193,71.621,68.888,69.702,58.142,57.355,57.716 "N-Queens - Elapsed Time (sec)",LIB,18.759,10.353,21.626,19.426,18.012,12.999,9.245,9.068,6.704,13.436,7.206,5.655 "Perl Benchmarks - Test: Pod2html (sec)",LIB,0.10063976,0.09765781,0.15978746,0.14829577,0.11643247,0.11018877,0.11095995,0.11338212,0.11059513,0.08930334,0.08573340,0.08659397 "Perl Benchmarks - Test: Interpreter (sec)",LIB,0.00073281,0.00070228,0.00100830,0.00088459,0.00073548,0.00069996,0.00074999,0.00075364,0.00076862,0.00068638,0.00065021,0.00064973 "Radiance Benchmark - Test: Serial (sec)",LIB,611.639,588.161,788.876,737.376,549.021,529.704,546.888,526.457,522.735,437.945,430.236,426.53 "Radiance Benchmark - Test: SMP Parallel (sec)",LIB,192.56,183.252,243.894,233.404,172.484,167.356,171.793,170.083,169.173,133.294,134.279,135.234 "RNNoise - (sec)",LIB,22.370,21.061,21.193,20.035,18.260,17.337,18.522,17.406,17.238,15.882,15.613,15.372 "Tachyon - Total Time (sec)",LIB,120.6398,65.9835,153.1003,148.7461,117.5552,87.9410,73.9702,60.1191,46.3723,99.6608,52.3579,43.4626 "OpenSSL - RSA 4096-bit Performance (Signs/sec)",HIB,2038.2,3712.3,1157.0,1288.7,1806.4,2490.6,3489.8,3551.0,4743.4,2027.3,3858.3,4897.3 "Aircrack-ng - (k/s)",HIB,25302.454,45909.654,9919.794,10871.199,22344.148,30745.605,42773.974,43919.307,58788.470,32451.248,61777.853,74570.422 "libjpeg-turbo tjbench - Test: Decompression Throughput (Megapixels/sec)",HIB,223.570648,237.256549,164.171855,176.660647,221.219799,232.686217,229.313087,221.002970,225.709372,276.460954,281.149611,281.528498 "GROMACS - Water Benchmark (Ns/Day)",HIB,0.842,0.977,0.469,0.504,0.733,0.823,1.133,1.136,1.236,0.876,1.284,1.290 "TensorFlow Lite - Model: SqueezeNet (us)",LIB,296354,167595,288755,258726,251199,180202,138101,135602,100527,220801,123127,94678.2 "TensorFlow Lite - Model: Inception V4 (us)",LIB,4350823,2372930,4238377,3818640,3713107,2600840,1999070,1961940,1432403,3267580,1780380,1346957 "TensorFlow Lite - Model: NASNet Mobile (us)",LIB,236704,147694,248092,222099,213644,156768,140368,139014,117199,180417,122229,106372 "TensorFlow Lite - Model: Mobilenet Float (us)",LIB,202481,114230,195793,175332,171301,120735,93903.6,92214.2,66530.3,150133,83458.7,62588.7 "TensorFlow Lite - Model: Mobilenet Quant (us)",LIB,205404,117619,209204,188045,175736,123482,96280.2,94517.0,68497.9,164490,91290.4,67914.5 "TensorFlow Lite - Model: Inception ResNet V2 (us)",LIB,3938063,2139593,3834677,3446837,3356693,2351497,1795013,1761010,1288407,2946000,1598013,1212237 "ASTC Encoder - Preset: Medium (sec)",LIB,9.45,6.80,7.09,6.44,9.60,7.98,7.07,7.04,6.27,8.09,6.01,5.60 "ASTC Encoder - Preset: Thorough (sec)",LIB,38.01,21.31,42.17,38.39,34.37,25.13,18.39,17.81,13.55,28.89,15.41,12.85 "ASTC Encoder - Preset: Exhaustive (sec)",LIB,306.90,170.21,337.70,306.32,274.19,199.87,145.09,140.27,105.63,231.33,121.94,101.25 "Basis Universal - Settings: ETC1S (sec)",LIB,52.408,43.301,62.729,57.806,51.351,45.826,44.349,43.549,42.255,43.664,37.395,36.778 "Basis Universal - Settings: UASTC Level 0 (sec)",LIB,7.595,6.371,9.703,8.954,7.620,6.797,6.715,6.760,6.365,6.141,5.426,5.252 "Basis Universal - Settings: UASTC Level 2 (sec)",LIB,41.399,25.177,48.560,43.927,38.667,29.322,22.878,22.631,18.304,31.666,18.715,15.960 "Basis Universal - Settings: UASTC Level 3 (sec)",LIB,80.077,46.538,93.859,84.725,73.825,54.967,41.274,40.666,31.648,60.728,33.799,28.259 "SQLite Speedtest - Timed Time - Size 1,000 (sec)",LIB,49.054,46.564,73.928,69.107,57.300,53.977,55.784,56.773,55.072,43.061,41.538,42.682 "GEGL - Operation: Crop (sec)",LIB,7.681,7.461,9.623,8.737,8.026,7.757,8.057,7.943,8.074,6.752,6.747,6.842 "GEGL - Operation: Scale (sec)",LIB,5.639,5.311,6.769,6.200,5.528,5.238,5.550,5.456,5.499,4.636,4.593,4.641 "GEGL - Operation: Reflect (sec)",LIB,27.035,25.450,34.087,31.524,29.670,28.355,29.465,29.069,29.181,25.059,24.533,24.668 "GEGL - Operation: Antialias (sec)",LIB,34.123,31.729,43.248,39.746,36.752,34.738,36.782,35.988,36.636,30.888,30.559,30.738 "GEGL - Operation: Color Enhance (sec)",LIB,52.527,49.231,65.311,60.686,55.211,52.447,54.672,53.688,54.089,46.150,45.054,45.045 "GEGL - Operation: Rotate 90 Degrees (sec)",LIB,35.095,32.355,44.122,40.675,38.552,36.460,37.459,37.191,37.232,31.983,30.883,30.851 "GIMP - Test: resize (sec)",LIB,7.926,6.804,10.864,9.668,8.236,7.673,7.491,7.381,7.289,6.827,6.344,6.298 "GIMP - Test: rotate (sec)",LIB,10.818,10.404,14.220,12.838,11.130,10.811,11.145,11.116,11.265,9.224,9.320,9.431 "GIMP - Test: auto-levels (sec)",LIB,11.203,10.442,14.812,13.453,11.590,11.239,11.916,11.876,12.250,9.593,9.915,10.314 "G'MIC - Test: Plotting Isosurface Of A 3D Volume, 1000 Times (sec)",LIB,17.348,16.047,23.415,21.764,18.658,17.767,18.196,18.270,18.333,16.267,15.967,15.744 "Inkscape - Operation: SVG Files To PNG (sec)",LIB,20.864,19.857,31.699,28.492,23.878,23.778,24.213,23.776,23.917,17.840,18.317,18.545 "LibreOffice - Test: 20 Documents To PDF (sec)",LIB,6.568,6.289,8.542,7.879,6.481,6.207,6.506,6.355,6.412,5.265,5.142,5.126 "OCRMyPDF - Processing 60 Page PDF Document (sec)",LIB,29.498,19.837,40.081,36.485,30.149,24.027,21.027,20.555,18.731,25.306,17.192,15.582 "GNU Octave Benchmark - (sec)",LIB,6.190,5.897,7.927,7.520,6.573,6.484,6.755,6.595,6.469,5.206,5.193,5.180 "RawTherapee - Total Benchmark Time (sec)",LIB,60.928,53.667,74.654,68.606,63.409,57.837,54.341,53.509,52.391,53.294,45.853,46.340 "Caffe - Model: AlexNet - Acceleration: CPU - Iterations: 200 (ms)",LIB,89584,75313,117470,108344,97587,96129,107356,105803,105617,74254,78347,80924 "Caffe - Model: GoogleNet - Acceleration: CPU - Iterations: 200 (ms)",LIB,231683,196074,293683,269113,237908,234440,262738,258972,265131,193736,200676,214239 "Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,5.651,4.331,11.525,10.647,6.562,6.034,7.234,7.235,8.162,4.921,6.111,6.448 "Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,32.475,25.310,58.154,52.974,30.257,29.532,33.074,33.468,42.129,25.038,27.056,28.378 "Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,3.401,2.823,6.606,6.129,3.960,3.375,3.988,4.022,5.716,2.691,3.058,3.849 "Mobile Neural Network - Model: inception-v3 (ms)",LIB,38.470,29.427,71.569,66.457,36.023,32.458,31.547,32.484,36.984,31.649,26.881,26.798 "NCNN - Target: CPU - Model: squeezenet (ms)",LIB,16.17,14.04,26.90,25.38,17.88,16.29,15.95,16.39,15.97,12.37,12.95,13.30 "NCNN - Target: CPU - Model: mobilenet (ms)",LIB,18.79,16.41,31.68,29.38,18.83,17.08,16.49,16.50,17.12,12.85,12.36,12.65 "NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,5.33,5.06,8.84,8.05,5.64,5.55,5.40,5.39,5.82,3.10,4.14,4.37 "NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,4.41,4.00,7.65,7.10,5.08,4.83,4.75,4.75,5.15,2.90,3.99,4.16 "NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,6.83,5.89,11.71,10.63,7.36,7.01,6.61,6.62,7.10,4.24,5.19,5.25 "NCNN - Target: CPU - Model: googlenet (ms)",LIB,14.92,13.28,23.09,21.21,17.03,16.05,17.38,17.31,19.24,11.39,12.68,13.43 "NCNN - Target: CPU - Model: resnet18 (ms)",LIB,14.89,13.56,19.66,18.40,17.57,16.92,16.70,16.48,17.91,12.71,13.32,14.62 "NCNN - Target: CPU - Model: resnet50 (ms)",LIB,29.20,24.28,47.04,43.77,31.60,28.47,27.82,27.66,29.91,24.78,24.29,25.48 "NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,27.79,25.00,42.51,39.34,29.79,28.03,28.90,28.68,29.08,20.39,21.81,22.63 "TNN - Target: CPU - Model: MobileNet v2 (ms)",LIB,294.966,282.645,300.338,282.943,257.797,246.791,256.339,255.505,258.827,227.657,227.294,228.342 "TNN - Target: CPU - Model: SqueezeNet v1.1 (ms)",LIB,278.408,261.564,278.618,260.659,240.275,231.374,235.518,236.447,240.335,216.957,215.546,213.838 "PlaidML - FP16: No - Mode: Inference - Network: Mobilenet - Device: CPU (FPS)",HIB,14.48,17.06,12.57,13.23,14.76,15.65,16.40,16.38,16.85,20.34,23.20,23.64 "PlaidML - FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU (FPS)",HIB,6.48,7.38,5.66,5.98,6.59,6.92,7.14,7.03,7.22,10.36,11.08,11.24 "PlaidML - FP16: No - Mode: Inference - Network: Inception V3 - Device: CPU (FPS)",HIB,7.88,9.21,6.35,6.82,8.94,9.79,10.59,10.61,11.15,10.27,12.43,12.61 "ctx_clock - Context Switch Time (Clocks)",LIB,178,150,204,180,190,156,190,177,175,148,148,136 "OpenVINO - Model: Face Detection 0106 FP16 - Device: CPU (FPS)",HIB,2.11,3.34,0.85,0.95,1.68,1.94,2.78,2.62,3.25,1.80,3.06,3.62 "OpenVINO - Model: Face Detection 0106 FP32 - Device: CPU (FPS)",HIB,2.10,3.29,0.85,0.95,1.68,1.94,2.78,2.61,3.27,1.78,3.06,3.61 "OpenVINO - Model: Person Detection 0106 FP16 - Device: CPU (FPS)",HIB,1.28,1.93,0.57,0.63,1.29,1.56,2.10,1.97,2.43,1.29,2.20,2.47 "OpenVINO - Model: Person Detection 0106 FP32 - Device: CPU (FPS)",HIB,1.28,1.93,0.57,0.62,1.28,1.52,2.07,1.99,2.43,1.26,2.19,2.45 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,5506.56,9817.08,2518.63,2742.77,5795.79,7134.90,9097.74,8760.84,12280.85,6330.56,10933.33,13580.75 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU (FPS)",HIB,5477.65,9817.40,2515.45,2728.14,5700.85,7092.34,9125.69,8748.79,12650.24,6222.63,10990.54,13518.29 "Chaos Group V-RAY - Mode: CPU (Ksamples)",HIB,11261,19765,8728,9499,11409,15422,20910,21517,28416,14310,26420,32561 "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,203.69,114.70,254.58,230.28,205.38,150.76,111.61,106.80,81.77,178.17,95.02,78.28 "Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,631.26,352.16,765.16,695.98,596.32,433.37,317.03,303.72,230.94,525.71,277.96,226.15 "Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,288.99,162.99,366.41,334.41,271.38,200.06,146.60,141.23,107.97,233.69,124.61,102.26 "PyBench - Total For Average Test Times (Milliseconds)",LIB,820,773,1159,1062,888,871,888,866,876,739,730,718 "PyPerformance - Benchmark: nbody (Milliseconds)",LIB,98.7,93.0,156,142,105,100,103,101,102,90.1,88.7,89.0 "PyPerformance - Benchmark: pathlib (Milliseconds)",LIB,15.2,14.3,21.3,19.9,16.1,15.2,15.8,15.4,15.6,13.2,12.7,12.7 "PyPerformance - Benchmark: raytrace (Milliseconds)",LIB,373,353,627,582,427,406,428,413,417,352,344,344 "PyPerformance - Benchmark: regex_compile (Milliseconds)",LIB,140,134,204,189,158,150,158,153,153,126,123,123 "PyPerformance - Benchmark: python_startup (Milliseconds)",LIB,6.93,6.74,10.3,8.71,7.53,7.19,8.12,8.01,8.10,7.21,6.38,6.42 "Numenta Anomaly Benchmark - Detector: Relative Entropy (sec)",LIB,24.800,16.990,33.505,30.375,24.810,19.006,16.258,16.026,14.730,20.235,13.253,12.235 "Numenta Anomaly Benchmark - Detector: Windowed Gaussian (sec)",LIB,14.129,8.099,17.548,15.753,13.982,9.625,8.613,8.187,7.276,12.308,7.495,6.764 "Numenta Anomaly Benchmark - Detector: Earthgecko Skyline (sec)",LIB,152.563,93.113,209.268,193.624,150.813,113.800,86.301,83.189,77.852,121.686,70.611,67.899 "Numenta Anomaly Benchmark - Detector: Bayesian Changepoint (sec)",LIB,44.937,33.140,49.371,44.807,36.341,32.717,28.134,26.855,25.656,31.035,22.770,22.196 "Hierarchical INTegration - Test: FLOAT (QUIPs)",HIB,481073602.70390,511718743.40279,322438360.17101,344830613.40160,390856008.08384,406360022.76109,401445819.03219,385672695.95056,406108737.67552,509667296.91286,517301573.26234,535283139.77587 "NeatBench - Acceleration: CPU (FPS)",HIB,14.4,18.3,10.8,11.5,18.9,21.9,24.7,25.1,27.3,22.0,28.3,30.3 "Appleseed - Scene: Emily (sec)",LIB,511.741596,299.905069,590.159683,539.894917,470.178012,349.398288,267.066755,259.329077,208.357892,397.237858,224.293568,192.180223 "Appleseed - Scene: Disney Material (sec)",LIB,305.766269,178.124035,342.043083,317.66645,291.011023,214.510759,161.513865,156.530111,119.857197,258.693911,142.649626,117.669097 "Appleseed - Scene: Material Tester (sec)",LIB,282.580945,166.409258,315.828228,289.144262,265.419862,199.42983,160.127712,155.823422,125.260331,225.904368,134.449186,111.389784 "Selenium - Benchmark: Kraken - Browser: Firefox (ms)",LIB,745.5,709.4,940.0,856.8,737.2,708.1,745.9,714.9,731.0,664.5,663.0,673.1 "Selenium - Benchmark: Jetstream 2 - Browser: Firefox (Score)",HIB,106.603,113.690,81.604,89.869,105.770,107.560,105.141,107.146,105.020,115.921,117.138,117.721 "Selenium - Benchmark: Maze Solver - Browser: Firefox (sec)",LIB,5.4,5.5,5.2,5.0,4.4,4.3,4.4,4.4,4.5,4.3,4.3,4.4 "Selenium - Benchmark: ARES-6 - Browser: Google Chrome (ms)",LIB,17.05,15.82,25.19,23.29,18.97,18.06,18.56,18.38,18.51,14.97,14.81,14.75 "Selenium - Benchmark: Kraken - Browser: Google Chrome (ms)",LIB,757.0,754.9,953.1,878.4,721.3,686.9,715.3,705.8,700.5,606.8,589.9,590.1 "Selenium - Benchmark: StyleBench - Browser: Google Chrome (Runs / Minute)",HIB,36.80,35.2,26.28,29.0,35.33,36.5,36.2,36.3,36.4,43.45,44.8,44.4 "Selenium - Benchmark: Jetstream 2 - Browser: Google Chrome (Score)",HIB,153.240,163.678,114.184,125.797,148.976,155.617,151.423,152.931,152.151,185.204,188.916,187.719 "Selenium - Benchmark: Maze Solver - Browser: Google Chrome (sec)",LIB,5.1,5.0,5,4.6,4.2,4.2,4.2,4.2,4.3,4.0,4.0,4 "Selenium - Benchmark: Speedometer - Browser: Google Chrome (Runs/min)",HIB,135,138,97.95,106.0,136.5,143.2,140.2,142.4,141.8,163.2,167,167.0 "Selenium - Benchmark: WASM imageConvolute - Browser: Firefox (ms)",LIB,29.0,26.8,33.2,30.8,27.0,25.4,26.7,26.2,26.9,24.4,24.1,24.1 "Selenium - Benchmark: WASM collisionDetection - Browser: Firefox (ms)",LIB,450.8,419.1,468.8,438.5,367.7,347.7,369.6,360.7,362.2,306.9,291.4,297.7 "Selenium - Benchmark: WASM imageConvolute - Browser: Google Chrome (ms)",LIB,29.4177,27.7527,34.0823,32.3458,27.899,26.4595,28.4992,27.0880,27.324,24.6273,24.2365,24.5738 "Selenium - Benchmark: WASM collisionDetection - Browser: Google Chrome (ms)",LIB,368.4442,340.6818,360.7470,334.7033,285.6642,270.4472,280.2477,270.8432,280.0318,260.7575,253.6500,254.1522 "Mlpack Benchmark - Benchmark: scikit_qda (sec)",LIB,69.01,62.64,75.34,72.47,66.25,66.46,67.79,68.16,69.64,62.79,60.45,62.55 "Mlpack Benchmark - Benchmark: scikit_svm (sec)",LIB,22.38,20.36,21.82,20.15,19.10,18.43,18.79,18.90,19.13,16.79,16.48,16.17 "Sunflow Rendering System - Global Illumination + Image Synthesis (sec)",LIB,1.295,0.781,1.806,1.591,1.340,1.007,0.842,0.805,0.697,1.019,0.684,0.627 "Tesseract OCR - Time To OCR 7 Images (sec)",LIB,20.346,19.174,29.144,26.820,22.615,21.751,23.066,23.003,22.740,18.109,19.375,19.349 "BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,101498,183810,68516,75302,93929,131827,183744,188522,248077,116652,215925,267071 "Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,,,,,,,,,,4.293,, "NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,,,,,,,,,,2.17,, "NCNN - Target: CPU - Model: mnasnet (ms)",LIB,,,,,,,,,,2.87,, "NCNN - Target: CPU - Model: blazeface (ms)",LIB,,,,,,,,,,0.98,, "NCNN - Target: CPU - Model: vgg16 (ms)",LIB,,,,,,,,,,61.72,, "NCNN - Target: CPU - Model: alexnet (ms)",LIB,,,,,,,,,,15.30,, "OpenVINO - Model: Face Detection 0106 FP16 - Device: CPU (ms)",LIB,,,,,,,,,,2225.20,, "OpenVINO - Model: Face Detection 0106 FP32 - Device: CPU (ms)",LIB,,,,,,,,,,2244.48,, "OpenVINO - Model: Person Detection 0106 FP16 - Device: CPU (ms)",LIB,,,,,,,,,,3087.08,, "OpenVINO - Model: Person Detection 0106 FP32 - Device: CPU (ms)",LIB,,,,,,,,,,3144.77,, "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,,,,,,,,,,0.62,, "OpenVINO - Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU (ms)",LIB,,,,,,,,,,0.63,,