Ryzen 7 5800X Linux Performance

AMD Ryzen 7 5800X 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 2011098-FI-AMDRYZEN983
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Audio Encoding 2 Tests
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Bioinformatics 2 Tests
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Web Browsers 1 Tests
Chess Test Suite 6 Tests
Timed Code Compilation 8 Tests
C/C++ Compiler Tests 35 Tests
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CPU Massive 47 Tests
Creator Workloads 47 Tests
Cryptography 4 Tests
Encoding 11 Tests
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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
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Programmer / Developer System Benchmarks 14 Tests
Python 5 Tests
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Server CPU Tests 31 Tests
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Speech 3 Tests
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Video Encoding 9 Tests
Common Workstation Benchmarks 4 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 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 7 5800X
November 07 2020
  10 Hours, 21 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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  10 Hours, 49 Minutes

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