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 2208198-NE-2011066FI43
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Audio Encoding 2 Tests
AV1 4 Tests
Bioinformatics 2 Tests
C++ Boost Tests 3 Tests
Web Browsers 1 Tests
Chess Test Suite 6 Tests
Timed Code Compilation 8 Tests
C/C++ Compiler Tests 35 Tests
Compression Tests 3 Tests
CPU Massive 47 Tests
Creator Workloads 47 Tests
Cryptography 4 Tests
Encoding 11 Tests
Fortran Tests 7 Tests
Game Development 5 Tests
HPC - High Performance Computing 26 Tests
Imaging 11 Tests
Java 2 Tests
Common Kernel Benchmarks 4 Tests
Machine Learning 13 Tests
Molecular Dynamics 5 Tests
MPI Benchmarks 4 Tests
Multi-Core 49 Tests
NVIDIA GPU Compute 9 Tests
OCR 2 Tests
Intel oneAPI 6 Tests
OpenCV Tests 2 Tests
OpenMPI Tests 6 Tests
Productivity 5 Tests
Programmer / Developer System Benchmarks 14 Tests
Python 5 Tests
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Renderers 12 Tests
Scientific Computing 12 Tests
Server 3 Tests
Server CPU Tests 31 Tests
Single-Threaded 17 Tests
Speech 3 Tests
Telephony 3 Tests
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Video Encoding 9 Tests
Common Workstation Benchmarks 4 Tests

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Result
Identifier
Performance Per
Dollar
Date
Run
  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
final-pbo-krathtimings-2kIF-docp
August 18 2022
  3 Hours, 54 Minutes
20allcurve-0lastcore-50autooc-krathtimings-2kIF-docp
August 18 2022
  5 Hours, 57 Minutes
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  10 Hours, 43 Minutes

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Ryzen 5 5600X Linux Performance AMD Ryzen 5 5600X initial Linux benchmarks by Michael Larabel for a future article. ,,"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","Ryzen 5 5600X","final-pbo-krathtimings-2kIF-docp","20allcurve-0lastcore-50autooc-krathtimings-2kIF-docp" 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),AMD Ryzen 5 5600X 6-Core @ 3.70GHz (6 Cores / 12 Threads),AMD Ryzen 5 5600X 6-Core @ 3.70GHz (6 Cores / 12 Threads),AMD Ryzen 5 5600X 6-Core @ 3.70GHz (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),ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2311 BIOS),ASUS TUF GAMING X570-PLUS (4403 BIOS),ASUS TUF GAMING X570-PLUS (4403 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,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse Memory,,16GB,16GB,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,Samsung SSD 970 EVO Plus 500GB + Samsung SSD 970 EVO 500GB,Samsung SSD 970 EVO Plus 500GB + Samsung SSD 970 EVO 500GB 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),MSI NVIDIA GeForce GTX 980 Ti 6GB,MSI NVIDIA GeForce GTX 980 Ti 6GB 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,NVIDIA GM200 HD Audio,NVIDIA GM200 HD 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,DELL P2415Q,DELL P2415Q Network,,,,,,,,,,,,,Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200,Intel Wi-Fi 6 AX200,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,Arch rolling,Arch rolling 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),5.19.1-268-tkg-cfs (x86_64),5.19.2-zen1-1-zen (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,X Server 1.21.1.4,X Server 1.21.1.4 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,NVIDIA 515.65.01,NVIDIA 515.65.01 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),4.6.0,4.6.0 Vulkan,,1.2.145,1.2.145,1.2.145,1.2.145,1.2.145,1.2.145,1.2.145,1.2.145,1.2.145,1.2.145,1.2.145,1.2.145,1.3.205,1.3.205 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,GCC 12.1.1 20220730,GCC 12.1.1 20220730 File-System,,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4,f2fs,f2fs Screen Resolution,,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080,3840x2160,3840x2160 ,,"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","Ryzen 5 5600X","final-pbo-krathtimings-2kIF-docp","20allcurve-0lastcore-50autooc-krathtimings-2kIF-docp" "ACES DGEMM - Sustained Floating-Point Rate (GFLOP/s)",HIB,5.476733,5.303240,4.236534,4.167965,7.431249,9.065396,3.004623,2.285211,0.980601,0.933703,2.740891,4.019649,4.272042,4.674576 "Aircrack-ng - (k/s)",HIB,58788.470,45909.654,43919.307,42773.974,61777.853,74570.422,30745.605,22344.148,10871.199,9919.794,25302.454,32451.248,,32419.029 "oneDNN - Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU (ms)",LIB,2.47606,2.96253,3.15304,3.26437,2.72467,2.27610,4.48876,6.59016,11.8845,12.6867,5.45967,4.92077,4.72485,4.72105 "John The Ripper - Test: MD5 (Real C/S)",HIB,1868000,1331333,1413667,1366667,1840667,2226000,991599,724083,443008,402572,752998,963686,, "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,12280.85,9817.08,8760.84,9097.74,10933.33,13580.75,7134.90,5795.79,2742.77,2518.63,5506.56,6330.56,, "OpenVINO - Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU (FPS)",HIB,12650.24,9817.40,8748.79,9125.69,10990.54,13518.29,7092.34,5700.85,2728.14,2515.45,5477.65,6222.63,, "Intel Open Image Denoise - Scene: Memorial (Images / Sec)",HIB,12.89,11.10,10.46,11.04,11.91,13.74,7.65,6.36,3.12,2.68,6.87,6.97,6.93,7.00 "oneDNN - Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU (ms)",LIB,4.29713,4.78766,5.25366,5.08460,4.71670,3.71587,6.86557,9.02336,17.5858,18.9968,8.71910,7.60324,7.20643,7.16943 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,207.121,214.088,220.215,232.657,179.867,161.223,262.999,318.339,658.700,722.395,344.920,282.751,245.948,244.138 "OpenVINO - Model: Person Detection 0106 FP16 - Device: CPU (FPS)",HIB,2.43,1.93,1.97,2.10,2.20,2.47,1.56,1.29,0.63,0.57,1.28,1.29,, "OpenVINO - Model: Person Detection 0106 FP32 - Device: CPU (FPS)",HIB,2.43,1.93,1.99,2.07,2.19,2.45,1.52,1.28,0.62,0.57,1.28,1.26,, "OpenVINO - Model: Face Detection 0106 FP16 - Device: CPU (FPS)",HIB,3.25,3.34,2.62,2.78,3.06,3.62,1.94,1.68,0.95,0.85,2.11,1.80,, "OpenVINO - Model: Face Detection 0106 FP32 - Device: CPU (FPS)",HIB,3.27,3.29,2.61,2.78,3.06,3.61,1.94,1.68,0.95,0.85,2.10,1.78,, "OpenVKL - Benchmark: vklBenchmark (Items / Sec)",HIB,236.58,192.75,182.97,177.75,233.83,286.17,128.78,94.03,75.14,67.42,114.36,125.94,130,131 "OpenSSL - RSA 4096-bit Performance (Signs/sec)",HIB,4743.4,3712.3,3551.0,3489.8,3858.3,4897.3,2490.6,1806.4,1288.7,1157.0,2038.2,2027.3,,1980.3 "John The Ripper - Test: Blowfish (Real C/S)",HIB,28096,23591,20729,20244,30214,38305,14494,10481,10215,9113,13022,16301,, "TSCP - AI Chess Performance (Nodes/s)",HIB,1407253,1572770,1385206,1376972,1960074,1970776,1401832,1327838,1125468,491520,1482195,1900557,1938017,1932602 "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,19.8746,17.7041,15.2873,14.9594,19.4679,23.7842,11.0482,8.3025,6.5124,5.9812,9.7946,10.3912,10.4987,10.5553 "BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,248077,183810,188522,183744,215925,267071,131827,93929,75302,68516,101498,116652,, "N-Queens - Elapsed Time (sec)",LIB,6.704,10.353,9.068,9.245,7.206,5.655,12.999,18.012,19.426,21.626,18.759,13.436,, "Embree - Binary: Pathtracer - Model: Crown (FPS)",HIB,21.0440,15.4247,16.0926,15.6590,19.9229,24.2757,11.5679,8.6544,7.0283,6.4088,8.5744,10.6691,10.6376,10.6549 "Chaos Group V-RAY - Mode: CPU (Ksamples)",HIB,28416,19765,21517,20910,26420,32561,15422,11409,9499,8728,11261,14310,, "SciMark - Computational Test: Dense LU Matrix Factorization (Mflops)",HIB,1022.73,1176.07,1019.65,1000.22,1485.05,1501.03,1010.57,1003.69,431.56,404.71,1084.83,1476.82,1505.17,1505.60 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Slow (FPS)",HIB,10.26,6.80,7.56,7.37,8.47,10.80,5.96,4.50,3.19,2.91,3.93,5.16,5.43,5.45 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Medium (FPS)",HIB,10.40,6.96,7.71,7.51,8.60,10.94,6.07,4.59,3.27,2.97,4.04,5.25,5.55,5.57 "m-queens - Time To Solve (sec)",LIB,33.840,59.606,45.820,46.740,37.543,29.547,65.340,90.227,93.988,104.796,108.063,70.744,,77.926 "SVT-AV1 - Encoder Mode: Enc Mode 8 - Input: 1080p (FPS)",HIB,43.330,38.233,36.592,35.947,43.148,48.712,28.004,18.512,14.738,13.421,21.379,22.596,, "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,21.6635,20.4299,16.8323,16.5255,20.4798,25.5897,12.4007,9.5120,7.5856,7.1159,12.3370,12.1775,12.3512,12.4326 "TTSIOD 3D Renderer - Phong Rendering With Soft-Shadow Mapping (FPS)",HIB,829.786,706.153,684.390,670.094,873.702,1025.44,545.543,420.457,305.104,285.889,417.526,576.380,435.664,438.317 "Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,107.97,162.99,141.23,146.60,124.61,102.26,200.06,271.38,334.41,366.41,288.99,233.69,, "GraphicsMagick - Operation: Enhanced (Iterations/min)",HIB,407,269,301,298,330,420,215,157,131,119,150,176,176,177 "asmFish - 1024 Hash Memory, 26 Depth (Nodes/s)",HIB,52929484,40392459,40082309,38836873,49348712,59943519,29158077,21747154,18868750,17002246,22294478,27275192,27528932,27880574 "Tachyon - Total Time (sec)",LIB,46.3723,65.9835,60.1191,73.9702,52.3579,43.4626,87.9410,117.5552,148.7461,153.1003,120.6398,99.6608,,102.6633 "YafaRay - Total Time For Sample Scene (sec)",LIB,79.697,109.474,100.553,103.713,80.393,66.152,133.841,180.782,212.242,231.832,198.112,146.319,, "Rodinia - Test: OpenMP LavaMD (sec)",LIB,120.533,170.152,159.413,164.705,123.339,103.616,226.995,309.606,330.161,362.263,306.480,231.621,233.117,230.968 "Stockfish - Total Time (Nodes/s)",HIB,52407367,35726813,38915395,38124311,45601255,56742350,27808441,20871771,18145930,16238519,19653079,24584351,25803867,25366080 "oneDNN - Harness: IP Batch 1D - Data Type: f32 - Engine: CPU (ms)",LIB,4.03926,3.28562,4.81380,3.80031,3.00338,3.20910,6.23646,5.73687,9.61005,10.4448,4.33647,4.22337,3.98144,3.94267 "SVT-AV1 - Encoder Mode: Enc Mode 4 - Input: 1080p (FPS)",HIB,5.320,4.320,4.493,4.411,5.315,6.063,3.347,2.465,1.916,1.752,2.707,2.961,, "Smallpt - Global Illumination Renderer; 128 Samples (sec)",LIB,5.200,7.905,6.944,7.092,6.160,4.937,9.847,13.517,15.459,17.031,14.204,11.606,11.679,11.660 "Tungsten Renderer - Scene: Volumetric Caustic (sec)",LIB,5.61440,7.00728,7.24960,7.42195,5.95664,4.96614,9.87930,13.5114,15.2225,16.8367,12.2322,10.2503,, "Embree - Binary: Pathtracer - Model: Asian Dragon (FPS)",HIB,21.8692,17.6307,16.9900,16.8430,20.3789,25.0722,12.5210,9.6303,7.9965,7.3993,10.0729,11.9231,12.2439,12.2833 "Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,230.94,352.16,303.72,317.03,277.96,226.15,433.37,596.32,695.98,765.16,631.26,525.71,, "LuxCoreRender - Scene: Rainbow Colors and Prism (M samples/sec)",HIB,3.64,2.46,2.73,2.64,3.13,3.81,1.93,1.42,1.26,1.14,1.40,1.67,1.70,1.72 "ASTC Encoder - Preset: Exhaustive (sec)",LIB,105.63,170.21,140.27,145.09,121.94,101.25,199.87,274.19,306.32,337.70,306.90,231.33,, "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Ultra Fast (FPS)",HIB,45.92,35.25,36.87,36.08,41.70,48.99,30.13,22.84,16.17,14.74,20.85,26.22,28.23,28.49 "Basis Universal - Settings: UASTC Level 3 (sec)",LIB,31.648,46.538,40.666,41.274,33.799,28.259,54.967,73.825,84.725,93.859,80.077,60.728,,59.979 "Timed MPlayer Compilation - Time To Compile (sec)",LIB,20.775,29.038,25.063,25.767,22.023,19.020,33.928,43.900,57.547,62.744,47.827,38.574,43.653,43.846 "ASTC Encoder - Preset: Thorough (sec)",LIB,13.55,21.31,17.81,18.39,15.41,12.85,25.13,34.37,38.39,42.17,38.01,28.89,, "Tungsten Renderer - Scene: Non-Exponential (sec)",LIB,4.38473,5.14603,5.79338,5.80923,4.68310,3.78827,7.58343,10.4378,11.2984,12.4271,8.89984,7.46449,, "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS)",HIB,25.17,19.57,21.16,20.64,23.74,26.59,16.95,12.75,8.90,8.11,11.47,14.63,15.49,15.52 "LuxCoreRender - Scene: DLSC (M samples/sec)",HIB,3.29,2.21,2.50,2.40,2.93,3.59,1.80,1.33,1.22,1.10,1.26,1.61,1.58,1.60 "Polyhedron Fortran Benchmarks - Benchmark: linpk (sec)",LIB,3.03,2.28,3.22,3.2,1.53,1.54,3.12,3.13,4.34,4.4,2.64,1.55,1.35,1.35 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Slow (FPS)",HIB,36.26,28.39,27.66,27.34,30.56,38.43,25.54,17.89,13.02,11.81,16.12,20.47,22.55,22.57 "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,81.77,114.70,106.80,111.61,95.02,78.28,150.76,205.38,230.28,254.58,203.69,178.17,, "TensorFlow Lite - Model: Inception ResNet V2 (us)",LIB,1288407,2139593,1761010,1795013,1598013,1212237,2351497,3356693,3446837,3834677,3938063,2946000,,2888087 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Medium (FPS)",HIB,37.16,29.36,28.56,28.13,31.47,39.37,26.20,18.36,13.39,12.13,16.67,20.98,23.11,23.21 "LAMMPS Molecular Dynamics Simulator - Model: Rhodopsin Protein (ns/day)",HIB,11.541,8.701,9.487,9.262,10.719,13.091,6.880,5.266,4.576,4.035,5.293,6.052,, "TensorFlow Lite - Model: Mobilenet Float (us)",LIB,66530.3,114230,92214.2,93903.6,83458.7,62588.7,120735,171301,175332,195793,202481,150133,,148018 "TensorFlow Lite - Model: Inception V4 (us)",LIB,1432403,2372930,1961940,1999070,1780380,1346957,2600840,3713107,3818640,4238377,4350823,3267580,,3177543 "NAMD - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,1.14997,1.23607,1.49526,1.54488,1.27408,1.07098,2.11711,2.86995,3.16104,3.45209,2.08559,2.37935,2.37579,2.36424 "POV-Ray - Trace Time (sec)",LIB,23.510,33.731,30.580,31.534,27.417,23.011,42.767,58.728,67.329,74.150,59.339,50.221,49.560,49.640 "x265 - Video Input: Bosphorus 4K (FPS)",HIB,23.09,18.81,19.65,19.37,23.54,26.50,12.48,11.70,9.10,8.30,12.56,14.47,15.85,15.94 "oneDNN - Harness: IP Batch All - Data Type: f32 - Engine: CPU (ms)",LIB,47.4722,57.1675,56.2274,51.4238,48.4101,45.7354,64.0201,71.4563,132.882,145.400,64.9448,68.3735,54.0963,53.8081 "C-Ray - Total Time - 4K, 16 Rays Per Pixel (sec)",LIB,31.326,52.127,42.030,42.894,37.783,30.220,60.023,82.441,86.816,95.463,94.601,71.904,73.856,73.796 "GraphicsMagick - Operation: Resizing (Iterations/min)",HIB,1829,1264,1415,1432,1610,1893,1031,760,638,600,739,915,901,905 "Timed Linux Kernel Compilation - Time To Compile (sec)",LIB,47.358,63.946,56.776,57.907,52.268,45.421,76.685,100.404,130.232,142.561,106.429,89.844,, "TensorFlow Lite - Model: SqueezeNet (us)",LIB,100527,167595,135602,138101,123127,94678.2,180202,251199,258726,288755,296354,220801,,217143 "Rodinia - Test: OpenMP CFD Solver (sec)",LIB,10.819,18.343,13.294,13.597,12.172,10.267,22.290,27.160,30.499,31.784,28.486,21.283,21.027,21.007 "Tungsten Renderer - Scene: Hair (sec)",LIB,13.5383,20.0703,17.3795,17.9331,15.6794,13.1398,24.3744,33.1689,36.9568,40.5902,35.6785,27.1991,, "Timed LLVM Compilation - Time To Compile (sec)",LIB,364.327,506.573,432.302,446.179,402.442,361.166,586.162,748.564,1024.461,1114.219,807.290,687.967,, "Numenta Anomaly Benchmark - Detector: Earthgecko Skyline (sec)",LIB,77.852,93.113,83.189,86.301,70.611,67.899,113.800,150.813,193.624,209.268,152.563,121.686,, "TensorFlow Lite - Model: Mobilenet Quant (us)",LIB,68497.9,117619,94517.0,96280.2,91290.4,67914.5,123482,175736,188045,209204,205404,164490,,169167 "Timed FFmpeg Compilation - Time To Compile (sec)",LIB,33.467,44.869,39.518,40.482,34.155,29.818,51.240,65.266,83.974,91.675,70.339,56.223,59.286,59.360 "Appleseed - Scene: Emily (sec)",LIB,208.357892,299.905069,259.329077,267.066755,224.293568,192.180223,349.398288,470.178012,539.894917,590.159683,511.741596,397.237858,,397.031082 "NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,5.15,4.00,4.75,4.75,3.99,4.16,4.83,5.08,7.10,7.65,4.41,2.90,,2.51 "Basis Universal - Settings: UASTC Level 2 (sec)",LIB,18.304,25.177,22.631,22.878,18.715,15.960,29.322,38.667,43.927,48.560,41.399,31.666,,30.814 "NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,5.82,5.06,5.39,5.40,4.14,4.37,5.55,5.64,8.05,8.84,5.33,3.10,,2.92 "NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,7.10,5.89,6.62,6.61,5.19,5.25,7.01,7.36,10.63,11.71,6.83,4.24,,3.87 "7-Zip Compression - Compress Speed Test (MIPS)",HIB,90071,64772,77550,76909,89437,94779,56370,43855,33526,31429,41897,54132,61130,61019 "G'MIC - Test: Plotting Isosurface Of A 3D Volume, 1000 Times (sec)",LIB,18.333,16.047,18.270,18.196,15.967,15.744,17.767,18.658,21.764,23.415,17.348,16.267,,7.793 "x264 - H.264 Video Encoding (FPS)",HIB,162.49,126.19,139.09,136.32,158.81,172.75,98.32,77.19,62.20,57.58,75.14,93.58,97.26,97.02 "SVT-VP9 - Tuning: Visual Quality Optimized - Input: Bosphorus 1080p (FPS)",HIB,200.83,186.01,180.29,180.89,206.64,220.35,119.86,109.32,81.38,75.58,122.76,126.8,147.53,146.89 "Appleseed - Scene: Disney Material (sec)",LIB,119.857197,178.124035,156.530111,161.513865,142.649626,117.669097,214.510759,291.011023,317.66645,342.043083,305.766269,258.693911,,256.848746 "Sunflow Rendering System - Global Illumination + Image Synthesis (sec)",LIB,0.697,0.781,0.805,0.842,0.684,0.627,1.007,1.340,1.591,1.806,1.295,1.019,,0.985 "NCNN - Target: CPU - Model: squeezenet (ms)",LIB,15.97,14.04,16.39,15.95,12.95,13.30,16.29,17.88,25.38,26.90,16.17,12.37,,9.45 "Appleseed - Scene: Material Tester (sec)",LIB,125.260331,166.409258,155.823422,160.127712,134.449186,111.389784,199.42983,265.419862,289.144262,315.828228,282.580945,225.904368,,228.726612 "NeatBench - Acceleration: CPU (FPS)",HIB,27.3,18.3,25.1,24.7,28.3,30.3,21.9,18.9,11.5,10.8,14.4,22.0,,16.8 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Ultra Fast (FPS)",HIB,145.91,129.64,119.07,117.56,130.30,155.81,112.90,85.57,61.81,56.02,79.10,99.92,107.97,107.77 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Very Fast (FPS)",HIB,82.24,69.90,63.26,62.50,69.63,86.94,60.10,48.14,34.63,31.37,43.82,55.56,59.46,59.46 "GROMACS - Water Benchmark (Ns/Day)",HIB,1.236,0.977,1.136,1.133,1.284,1.290,0.823,0.733,0.504,0.469,0.842,0.876,, "Numenta Anomaly Benchmark - Detector: Relative Entropy (sec)",LIB,14.730,16.990,16.026,16.258,13.253,12.235,19.006,24.810,30.375,33.505,24.800,20.235,, "Timed ImageMagick Compilation - Time To Compile (sec)",LIB,20.576,24.738,22.766,23.221,19.524,18.171,27.965,33.447,45.133,48.653,35.433,29.815,32.565,32.651 "Mobile Neural Network - Model: inception-v3 (ms)",LIB,36.984,29.427,32.484,31.547,26.881,26.798,32.458,36.023,66.457,71.569,38.470,31.649,, "Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,8.162,4.331,7.235,7.234,6.111,6.448,6.034,6.562,10.647,11.525,5.651,4.921,, "Monte Carlo Simulations of Ionised Nebulae - Input: Dust 2D tau100.0 (sec)",LIB,199,166,205,211,179,180,211,233,253,279,207,203,105,106 "NCNN - Target: CPU - Model: mobilenet (ms)",LIB,17.12,16.41,16.50,16.49,12.36,12.65,17.08,18.83,29.38,31.68,18.79,12.85,,11.99 "Numenta Anomaly Benchmark - Detector: Windowed Gaussian (sec)",LIB,7.276,8.099,8.187,8.613,7.495,6.764,9.625,13.982,15.753,17.548,14.129,12.308,, "SciMark - Computational Test: Fast Fourier Transform (Mflops)",HIB,374.19,390.00,371.29,310.86,495.79,521.05,262.48,306.45,201.06,200.98,265.78,338.34,340.02,345.46 "libavif avifenc - Encoder Speed: 0 (sec)",LIB,59.399,71.859,67.303,68.184,58.650,52.752,80.884,101.968,124.210,135.738,106.409,88.135,84.513,84.559 "OCRMyPDF - Processing 60 Page PDF Document (sec)",LIB,18.731,19.837,20.555,21.027,17.192,15.582,24.027,30.149,36.485,40.081,29.498,25.306,, "libavif avifenc - Encoder Speed: 2 (sec)",LIB,35.675,42.772,40.427,41.110,35.206,32.199,48.524,61.339,74.505,81.882,63.899,53.527,50.770,50.610 "SVT-VP9 - Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p (FPS)",HIB,217.13,210.08,198.20,202.63,226.26,234.14,149.99,134.25,99.99,92.99,154.53,153.90,191.13,191.82 "dav1d - Video Input: Chimera 1080p (FPS)",HIB,619.21,785.87,585.47,586.78,661.39,688.70,514.32,438.49,335.74,316.11,550.52,545.09,, "VP9 libvpx Encoding - Speed: Speed 5 (FPS)",HIB,25.37,30.34,25.64,25.83,31.12,30.81,26.99,25.99,19.30,17.34,28.66,32.83,42.91,42.92 "Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,5.716,2.823,4.022,3.988,3.058,3.849,3.375,3.960,6.129,6.606,3.401,2.691,, "Timed PHP Compilation - Time To Compile (sec)",LIB,42.373,47.793,46.271,46.785,40.115,37.369,54.144,64.412,84.470,91.414,66.256,55.961,61.830,61.803 "Zstd Compression - Compression Level: 3 (MB/s)",HIB,4059.1,2922.3,4483.5,4499.8,5879.8,4896.1,4265.9,4561.3,3309.9,3204.6,3633.4,6000.4,6992.1,7049.1 "NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,29.08,25.00,28.68,28.90,21.81,22.63,28.03,29.79,39.34,42.51,27.79,20.39,,17.71 "TensorFlow Lite - Model: NASNet Mobile (us)",LIB,117199,147694,139014,140368,122229,106372,156768,213644,222099,248092,236704,180417,,175182 "Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,42.129,25.310,33.468,33.074,27.056,28.378,29.532,30.257,52.974,58.154,32.475,25.038,, "dav1d - Video Input: Summer Nature 4K (FPS)",HIB,201.96,183.54,197.64,197.62,228.06,231.45,171.17,145.19,105.81,99.86,143.26,173.18,, "DaCapo Benchmark - Java Test: Tradesoap (msec)",LIB,3460,2884,3348,3389,2836,2925,3663,4395,5978,6357,3977,3531,3053,3086 "Numpy Benchmark - (Score)",HIB,422.17,451.53,425.55,409.49,550.69,542.76,432.12,415.99,318.91,299.09,413.80,543.12,659.36,666.56 "NCNN - Target: CPU - Model: googlenet (ms)",LIB,19.24,13.28,17.31,17.38,12.68,13.43,16.05,17.03,21.21,23.09,14.92,11.39,,10.38 "Numenta Anomaly Benchmark - Detector: Bayesian Changepoint (sec)",LIB,25.656,33.140,26.855,28.134,22.770,22.196,32.717,36.341,44.807,49.371,44.937,31.035,, "WireGuard + Linux Networking Stack Stress Test - (sec)",LIB,195.779,176.739,194.851,196.117,155.876,149.621,183.716,197.374,264.865,281.740,174.718,129.375,126.825,129.398 "Rodinia - Test: OpenMP Leukocyte (sec)",LIB,77.777,82.982,86.786,88.589,72.564,69.810,118.735,127.402,141.018,154.758,131.403,106.397,91.133,91.509 "Nebular Empirical Analysis Tool - (sec)",LIB,12.242,14.234,13.226,13.477,11.016,10.363,14.968,18.048,20.882,22.752,19.679,15.167,14.618,13.766 "Zstd Compression - Compression Level: 19 (MB/s)",HIB,39.5,30.3,38.9,38.7,44.6,44.2,32.3,27,22.1,21.6,37.2,33.5,46.8,47.3 "LibRaw - Post-Processing Benchmark (Mpix/sec)",HIB,44.57,41.50,43.59,43.19,53.42,54.99,41.76,39.02,28.68,26.28,36.94,49.12,54.04,53.96 "CloverLeaf - Lagrangian-Eulerian Hydrodynamics (sec)",LIB,3.86,5.64,3.99,3.89,3.73,3.85,5.06,4.90,4.54,4.53,4.04,4.51,2.73,2.70 "NCNN - Target: CPU - Model: resnet50 (ms)",LIB,29.91,24.28,27.66,27.82,24.29,25.48,28.47,31.60,43.77,47.04,29.20,24.78,,22.62 "DeepSpeech - Acceleration: CPU (sec)",LIB,63.23064,78.01743,65.57842,65.37162,58.40233,59.64680,61.24351,57.69822,69.06352,76.08807,64.06862,50.49585,,37.81304 "GraphicsMagick - Operation: Rotate (Iterations/min)",HIB,799,945,726,766,1056,1042,794,754,657,623,862,1035,1228,1285 "AOM AV1 - Encoder Mode: Speed 8 Realtime (FPS)",HIB,38.90,49.04,38.32,38.03,53.19,52.94,38.59,38.20,29.81,25.99,45.81,51.53,, "FFTE - N=256, 3D Complex FFT Routine (MFLOPS)",HIB,38565.531315546,25630.005048964,35670.008724723,36851.901582848,37925.620893458,36137.493677561,37466.482170039,34238.231086660,32899.687800646,31041.651739149,34083.368614570,36604.364895923,52371.745883323,52269.031530248 "GEGL - Operation: Color Enhance (sec)",LIB,54.089,49.231,53.688,54.672,45.054,45.045,52.447,55.211,60.686,65.311,52.527,46.150,,32.358 "C-Blosc - Compressor: blosclz (MB/s)",HIB,11474.9,10815.8,11473.9,11595.2,14645.4,14032.5,11505.5,11552.0,9986.4,9570.9,10868.2,15561.0,19201.6,19246.1 "AOM AV1 - Encoder Mode: Speed 4 Two-Pass (FPS)",HIB,2.72,2.92,2.71,2.68,3.36,3.38,2.71,2.56,1.85,1.70,2.61,3.20,, "PlaidML - FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU (FPS)",HIB,7.22,7.38,7.03,7.14,11.08,11.24,6.92,6.59,5.98,5.66,6.48,10.36,, "PlaidML - FP16: No - Mode: Inference - Network: Inception V3 - Device: CPU (FPS)",HIB,11.15,9.21,10.61,10.59,12.43,12.61,9.79,8.94,6.82,6.35,7.88,10.27,, "VP9 libvpx Encoding - Speed: Speed 0 (FPS)",HIB,7.83,8.08,7.80,7.73,9.51,9.50,8.08,7.69,5.89,5.43,7.88,9.68,10.77,10.76 "DaCapo Benchmark - Java Test: H2 (msec)",LIB,3255,2747,3050,3130,2656,2712,2908,3090,3559,4061,2778,2519,2079,2095 "Tungsten Renderer - Scene: Water Caustic (sec)",LIB,21.2263,23.5822,23.8269,24.1102,21.2532,19.4728,25.8801,30.4813,34.8832,37.5615,29.7953,26.6276,, "AOM AV1 - Encoder Mode: Speed 6 Two-Pass (FPS)",HIB,4.18,4.65,4.18,4.16,5.26,5.24,4.20,3.97,2.98,2.74,4.17,5.06,, "Timed GDB GNU Debugger Compilation - Time To Compile (sec)",LIB,90.547,87.429,94.033,94.925,83.576,82.465,99.062,109.636,137.799,157.408,110.030,99.306,, "AOM AV1 - Encoder Mode: Speed 6 Realtime (FPS)",HIB,19.47,25.67,19.64,19.82,25.30,25.45,19.47,19.26,14.84,13.58,21.70,24.53,, "PlaidML - FP16: No - Mode: Inference - Network: Mobilenet - Device: CPU (FPS)",HIB,16.85,17.06,16.38,16.40,23.20,23.64,15.65,14.76,13.23,12.57,14.48,20.34,, "LibreOffice - Test: 20 Documents To PDF (sec)",LIB,6.412,6.289,6.355,6.506,5.142,5.126,6.207,6.481,7.879,8.542,6.568,5.265,,4.556 "DaCapo Benchmark - Java Test: Jython (msec)",LIB,3946,3319,3963,3990,3068,3066,3965,4215,5232,5626,3676,3313,3008,3023 "Perl Benchmarks - Test: Pod2html (sec)",LIB,0.11059513,0.09765781,0.11338212,0.11095995,0.08573340,0.08659397,0.11018877,0.11643247,0.14829577,0.15978746,0.10063976,0.08930334,,0.09024429 "Fhourstones - Complex Connect-4 Solving (Kpos / sec)",HIB,15875.8,17624.8,15572.8,15451.0,20018.5,20223.0,16160.1,15263.7,13100.0,11869.6,15846.1,20100.7,22053.7,22097.2 "PyPerformance - Benchmark: raytrace (Milliseconds)",LIB,417,353,413,428,344,344,406,427,582,627,373,352,,337 "GEGL - Operation: Antialias (sec)",LIB,36.636,31.729,35.988,36.782,30.559,30.738,34.738,36.752,39.746,43.248,34.123,30.888,,23.254 "Radiance Benchmark - Test: Serial (sec)",LIB,522.735,588.161,526.457,546.888,430.236,426.53,529.704,549.021,737.376,788.876,611.639,437.945,, "Basis Universal - Settings: UASTC Level 0 (sec)",LIB,6.365,6.371,6.760,6.715,5.426,5.252,6.797,7.620,8.954,9.703,7.595,6.141,,5.807 "Timed Apache Compilation - Time To Compile (sec)",LIB,20.214,18.040,20.674,20.919,17.293,17.189,21.203,22.725,28.527,31.456,21.479,19.276,22.769,22.825 "Radiance Benchmark - Test: SMP Parallel (sec)",LIB,169.173,183.252,170.083,171.793,134.279,135.234,167.356,172.484,233.404,243.894,192.56,133.294,, "Timed MAFFT Alignment - Multiple Sequence Alignment - LSU RNA (sec)",LIB,8.591,8.702,8.973,8.907,7.365,7.350,11.018,11.424,12.586,13.239,8.750,8.515,7.559,7.498 "Polyhedron Fortran Benchmarks - Benchmark: protein (sec)",LIB,12.03,11.64,12.12,12.23,9.28,9.22,11.54,12.14,14.51,15.61,12.35,9.4,8.71,8.78 "SciMark - Computational Test: Composite (Mflops)",HIB,751.35,829.30,743.57,717.42,871.93,885.60,732.75,716.75,528.11,494.99,741.22,830.95,841.47,842.47 "Timed MrBayes Analysis - Primate Phylogeny Analysis (sec)",LIB,70.243,63.630,69.941,72.744,56.992,61.580,66.905,69.253,87.269,97.132,68.834,54.525,54.541,54.456 "SQLite Speedtest - Timed Time - Size 1,000 (sec)",LIB,55.072,46.564,56.773,55.784,41.538,42.682,53.977,57.300,69.107,73.928,49.054,43.061,,44.168 "Inkscape - Operation: SVG Files To PNG (sec)",LIB,23.917,19.857,23.776,24.213,18.317,18.545,23.778,23.878,28.492,31.699,20.864,17.840,, "PyPerformance - Benchmark: nbody (Milliseconds)",LIB,102,93.0,101,103,88.7,89.0,100,105,142,156,98.7,90.1,,99.5 "libavif avifenc - Encoder Speed: 10 (sec)",LIB,4.305,4.379,4.336,4.395,4.138,4.133,4.456,4.970,5.820,6.252,5.102,4.574,3.582,3.557 "PyPerformance - Benchmark: pathlib (Milliseconds)",LIB,15.6,14.3,15.4,15.8,12.7,12.7,15.2,16.1,19.9,21.3,15.2,13.2,,12.2 "libavif avifenc - Encoder Speed: 8 (sec)",LIB,4.453,4.538,4.586,4.616,4.264,4.258,4.733,5.322,6.153,6.643,5.434,4.864,3.873,3.844 "GIMP - Test: resize (sec)",LIB,7.289,6.804,7.381,7.491,6.344,6.298,7.673,8.236,9.668,10.864,7.926,6.827,, "Crafty - Elapsed Time (Nodes/s)",HIB,9195403,10087418,9071528,9268070,11404838,11519567,8805287,8912018,7221279,6718403,9196154,11191962,11567133,11536910 "NCNN - Target: CPU - Model: resnet18 (ms)",LIB,17.91,13.56,16.48,16.70,13.32,14.62,16.92,17.57,18.40,19.66,14.89,12.71,,11.44 "libjpeg-turbo tjbench - Test: Decompression Throughput (Megapixels/sec)",HIB,225.709372,237.256549,221.002970,229.313087,281.149611,281.528498,232.686217,221.219799,176.660647,164.171855,223.570648,276.460954,,267.793308 "ASTC Encoder - Preset: Medium (sec)",LIB,6.27,6.80,7.04,7.07,6.01,5.60,7.98,9.60,6.44,7.09,9.45,8.09,, "Polyhedron Fortran Benchmarks - Benchmark: air (sec)",LIB,1.59,1.99,1.57,1.6,1.36,1.36,1.55,1.63,1.7,1.82,2,1.37,1.17,1.18 "Selenium - Benchmark: ARES-6 - Browser: Google Chrome (ms)",LIB,18.51,15.82,18.38,18.56,14.81,14.75,18.06,18.97,23.29,25.19,17.05,14.97,, "Basis Universal - Settings: ETC1S (sec)",LIB,42.255,43.301,43.549,44.349,37.395,36.778,45.826,51.351,57.806,62.729,52.408,43.664,,41.036 "Selenium - Benchmark: Speedometer - Browser: Google Chrome (Runs/min)",HIB,141.8,138,142.4,140.2,167,167.0,143.2,136.5,106.0,97.95,135,163.2,, "Selenium - Benchmark: StyleBench - Browser: Google Chrome (Runs / Minute)",HIB,36.4,35.2,36.3,36.2,44.8,44.4,36.5,35.33,29.0,26.28,36.80,43.45,, "dav1d - Video Input: Chimera 1080p 10-bit (FPS)",HIB,113.75,131.94,110.90,110.59,128.47,133.14,105.06,97.93,86.48,80.09,102.72,117.34,, "GEGL - Operation: Reflect (sec)",LIB,29.181,25.450,29.069,29.465,24.533,24.668,28.355,29.670,31.524,34.087,27.035,25.059,,20.527 "Hierarchical INTegration - Test: FLOAT (QUIPs)",HIB,406108737.67552,511718743.40279,385672695.95056,401445819.03219,517301573.26234,535283139.77587,406360022.76109,390856008.08384,344830613.40160,322438360.17101,481073602.70390,509667296.91286,,503546191.89522 "PyPerformance - Benchmark: regex_compile (Milliseconds)",LIB,153,134,153,158,123,123,150,158,189,204,140,126,,125 "Selenium - Benchmark: Jetstream 2 - Browser: Google Chrome (Score)",HIB,152.151,163.678,152.931,151.423,188.916,187.719,155.617,148.976,125.797,114.184,153.240,185.204,, "FLAC Audio Encoding - WAV To FLAC (sec)",LIB,7.455,7.173,7.538,7.579,6.440,6.373,7.340,7.695,9.124,9.748,7.587,6.598,,5.895 "Montage Astronomical Image Mosaic Engine - Mosaic of M17, K band, 1.5 deg x 1.5 deg (sec)",LIB,69.702,66.371,68.888,71.621,57.355,57.716,69.193,72.086,88.007,94.120,70.283,58.142,, "Rodinia - Test: OpenMP HotSpot3D (sec)",LIB,79.925,83.891,79.756,81.104,66.744,63.862,80.938,87.086,99.307,104.312,91.898,70.558,70.311,66.266 "RawTherapee - Total Benchmark Time (sec)",LIB,52.391,53.667,53.509,54.341,45.853,46.340,57.837,63.409,68.606,74.654,60.928,53.294,, "Selenium - Benchmark: Kraken - Browser: Google Chrome (ms)",LIB,700.5,754.9,705.8,715.3,589.9,590.1,686.9,721.3,878.4,953.1,757.0,606.8,, "PyPerformance - Benchmark: python_startup (Milliseconds)",LIB,8.10,6.74,8.01,8.12,6.38,6.42,7.19,7.53,8.71,10.3,6.93,7.21,,6.68 "PyBench - Total For Average Test Times (Milliseconds)",LIB,876,773,866,888,730,718,871,888,1062,1159,820,739,,763 "Tesseract OCR - Time To OCR 7 Images (sec)",LIB,22.740,19.174,23.003,23.066,19.375,19.349,21.751,22.615,26.820,29.144,20.346,18.109,, "Selenium - Benchmark: WASM collisionDetection - Browser: Firefox (ms)",LIB,362.2,419.1,360.7,369.6,291.4,297.7,347.7,367.7,438.5,468.8,450.8,306.9,, "WebP Image Encode - Encode Settings: Quality 100, Lossless (Encode Time - sec)",LIB,15.638,15.084,14.855,15.258,12.629,12.764,15.036,15.618,18.760,20.229,15.452,13.261,12.972,12.908 "eSpeak-NG Speech Engine - Text-To-Speech Synthesis (sec)",LIB,26.677,25.302,26.711,26.807,21.318,21.464,26.077,27.480,30.828,33.376,26.772,21.646,,21.027 "LAME MP3 Encoding - WAV To MP3 (sec)",LIB,6.894,6.966,6.964,7.081,5.621,5.562,6.658,7.067,8.213,8.812,7.397,5.737,,5.765 "Caffe - Model: AlexNet - Acceleration: CPU - Iterations: 200 (ms)",LIB,105617,75313,105803,107356,78347,80924,96129,97587,108344,117470,89584,74254,, "GEGL - Operation: Crop (sec)",LIB,8.074,7.461,7.943,8.057,6.747,6.842,7.757,8.026,8.737,9.623,7.681,6.752,,6.108 "WebP Image Encode - Encode Settings: Default (Encode Time - sec)",LIB,1.369,1.294,1.365,1.414,1.153,1.145,1.367,1.434,1.615,1.728,1.374,1.177,1.114,1.110 "WebP Image Encode - Encode Settings: Quality 100, Highest Compression (Encode Time - sec)",LIB,6.748,6.024,6.555,6.804,5.340,5.334,6.567,6.916,7.753,8.290,6.387,5.454,5.661,5.593 "Perl Benchmarks - Test: Interpreter (sec)",LIB,0.00076862,0.00070228,0.00075364,0.00074999,0.00065021,0.00064973,0.00069996,0.00073548,0.00088459,0.00100830,0.00073281,0.00068638,,0.00072651 "GIMP - Test: auto-levels (sec)",LIB,12.250,10.442,11.876,11.916,9.915,10.314,11.239,11.590,13.453,14.812,11.203,9.593,, "GIMP - Test: rotate (sec)",LIB,11.265,10.404,11.116,11.145,9.320,9.431,10.811,11.130,12.838,14.220,10.818,9.224,, "GNU Octave Benchmark - (sec)",LIB,6.469,5.897,6.595,6.755,5.193,5.180,6.484,6.573,7.520,7.927,6.190,5.206,, "WebP Image Encode - Encode Settings: Quality 100 (Encode Time - sec)",LIB,2.161,2.009,2.088,2.175,1.743,1.729,2.099,2.189,2.442,2.621,2.115,1.821,1.736,1.730 "Caffe - Model: GoogleNet - Acceleration: CPU - Iterations: 200 (ms)",LIB,265131,196074,258972,262738,200676,214239,234440,237908,269113,293683,231683,193736,, "WebP Image Encode - Encode Settings: Quality 100, Lossless, Highest Compression (Encode Time - sec)",LIB,32.301,31.120,32.579,32.012,27.616,27.271,31.204,32.530,38.030,40.304,33.155,27.908,26.822,26.731 "Dolfyn - Computational Fluid Dynamics (sec)",LIB,15.568,16.398,15.636,16.128,12.840,12.820,15.382,16.154,18.029,19.282,17.131,13.137,13.636,13.666 "ctx_clock - Context Switch Time (Clocks)",LIB,175,150,177,190,148,136,156,190,180,204,178,148,,185 "NCNN - Target: CPU - Model: vgg16 (ms)",LIB,,,,,,,,,,,,61.72,,41.22 "BYTE Unix Benchmark - Computational Test: Dhrystone 2 (LPS)",HIB,44123395.7,52005432.9,44714220.6,44081890.7,55937330.1,56105538.1,44883700.9,43647479.3,40472566.0,37514301.8,47964784.2,54945549.9,, "GEGL - Operation: Scale (sec)",LIB,5.499,5.311,5.456,5.550,4.593,4.641,5.238,5.528,6.200,6.769,5.639,4.636,,5.399 "SciMark - Computational Test: Monte Carlo (Mflops)",HIB,165.36,179.16,163.05,159.96,189.65,192.12,168.24,159.39,140.76,131.78,165.10,185.18,180.21,179.88 "RNNoise - (sec)",LIB,17.238,21.061,17.406,18.522,15.613,15.372,17.337,18.260,20.035,21.193,22.370,15.882,,15.572 "Selenium - Benchmark: WASM collisionDetection - Browser: Google Chrome (ms)",LIB,280.0318,340.6818,270.8432,280.2477,253.6500,254.1522,270.4472,285.6642,334.7033,360.7470,368.4442,260.7575,, "Selenium - Benchmark: Jetstream 2 - Browser: Firefox (Score)",HIB,105.020,113.690,107.146,105.141,117.138,117.721,107.560,105.770,89.869,81.604,106.603,115.921,, "GEGL - Operation: Rotate 90 Degrees (sec)",LIB,37.232,32.355,37.191,37.459,30.883,30.851,36.460,38.552,40.675,44.122,35.095,31.983,,31.702 "Selenium - Benchmark: Kraken - Browser: Firefox (ms)",LIB,731.0,709.4,714.9,745.9,663.0,673.1,708.1,737.2,856.8,940.0,745.5,664.5,, "NCNN - Target: CPU - Model: alexnet (ms)",LIB,,,,,,,,,,,,15.30,,10.81 "TNN - Target: CPU - Model: MobileNet v2 (ms)",LIB,258.827,282.645,255.505,256.339,227.294,228.342,246.791,257.797,282.943,300.338,294.966,227.657,,212.971 "Selenium - Benchmark: WASM imageConvolute - Browser: Google Chrome (ms)",LIB,27.324,27.7527,27.0880,28.4992,24.2365,24.5738,26.4595,27.899,32.3458,34.0823,29.4177,24.6273,, "Mlpack Benchmark - Benchmark: scikit_svm (sec)",LIB,19.13,20.36,18.90,18.79,16.48,16.17,18.43,19.10,20.15,21.82,22.38,16.79,, "Selenium - Benchmark: WASM imageConvolute - Browser: Firefox (ms)",LIB,26.9,26.8,26.2,26.7,24.1,24.1,25.4,27.0,30.8,33.2,29.0,24.4,, "Botan - Test: Twofish (MiB/s)",HIB,400.119,446.453,393.717,403.651,461.362,465.902,411.267,390.471,370.256,343.934,420.583,453.519,419.157,418.780 "Botan - Test: Blowfish (MiB/s)",HIB,501.990,556.852,488.014,492.735,548.748,550.628,499.691,480.701,455.947,420.788,523.673,539.218,500.571,500.384 "TNN - Target: CPU - Model: SqueezeNet v1.1 (ms)",LIB,240.335,261.564,236.447,235.518,215.546,213.838,231.374,240.275,260.659,278.618,278.408,216.957,,211.169 "Botan - Test: CAST-256 (MiB/s)",HIB,157.120,176.074,159.834,162.647,173.790,177.013,168.045,157.465,148.856,137.693,165.638,169.184,167.676,167.581 "Selenium - Benchmark: Maze Solver - Browser: Firefox (sec)",LIB,4.5,5.5,4.4,4.4,4.3,4.4,4.3,4.4,5.0,5.2,5.4,4.3,, "Selenium - Benchmark: Maze Solver - Browser: Google Chrome (sec)",LIB,4.3,5.0,4.2,4.2,4.0,4,4.2,4.2,4.6,5,5.1,4.0,, "Mlpack Benchmark - Benchmark: scikit_qda (sec)",LIB,69.64,62.64,68.16,67.79,60.45,62.55,66.46,66.25,72.47,75.34,69.01,62.79,, "NCNN - Target: CPU - Model: mnasnet (ms)",LIB,,,,,,,,,,,,2.87,,2.68 "NCNN - Target: CPU - Model: blazeface (ms)",LIB,,,,,,,,,,,,0.98,,0.94 "NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,,,,,,,,,,,,2.17,,2.10 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU (ms)",LIB,,,,,,,,,,,,0.63,, "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,,,,,,,,,,,,0.62,, "OpenVINO - Model: Person Detection 0106 FP32 - Device: CPU (ms)",LIB,,,,,,,,,,,,3144.77,, "OpenVINO - Model: Person Detection 0106 FP16 - Device: CPU (ms)",LIB,,,,,,,,,,,,3087.08,, "OpenVINO - Model: Face Detection 0106 FP32 - Device: CPU (ms)",LIB,,,,,,,,,,,,2244.48,, "OpenVINO - Model: Face Detection 0106 FP16 - Device: CPU (ms)",LIB,,,,,,,,,,,,2225.20,, "Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,,,,,,,,,,,,4.293,,