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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C/C++ Compiler Tests 35 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. ,,"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","final-pbo-krathtimings-2kIF-docp","20allcurve-0lastcore-50autooc-krathtimings-2kIF-docp" 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),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,,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),ASUS TUF GAMING X570-PLUS (4403 BIOS),ASUS TUF GAMING X570-PLUS (4403 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,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 ,,"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","final-pbo-krathtimings-2kIF-docp","20allcurve-0lastcore-50autooc-krathtimings-2kIF-docp" "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,, "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,, "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,, "BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,101498,183810,68516,75302,93929,131827,183744,188522,248077,116652,215925,267071,, "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,,397.031082 "Caffe - Model: GoogleNet - Acceleration: CPU - Iterations: 200 (ms)",LIB,231683,196074,293683,269113,237908,234440,262738,258972,265131,193736,200676,214239,, "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,, "Rodinia - Test: OpenMP LavaMD (sec)",LIB,306.480,170.152,362.263,330.161,309.606,226.995,164.705,159.413,120.533,231.621,123.339,103.616,233.117,230.968 "Monte Carlo Simulations of Ionised Nebulae - Input: Dust 2D tau100.0 (sec)",LIB,207,166,279,253,233,211,211,205,199,203,179,180,105,106 "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,,503546191.89522 "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,, "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,, "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,, "Numpy Benchmark - (Score)",HIB,413.80,451.53,299.09,318.91,415.99,432.12,409.49,425.55,422.17,543.12,550.69,542.76,659.36,666.56 "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,, "WireGuard + Linux Networking Stack Stress Test - (sec)",LIB,174.718,176.739,281.740,264.865,197.374,183.716,196.117,194.851,195.779,129.375,155.876,149.621,126.825,129.398 "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,, "asmFish - 1024 Hash Memory, 26 Depth (Nodes/s)",HIB,22294478,40392459,17002246,18868750,21747154,29158077,38836873,40082309,52929484,27275192,49348712,59943519,27528932,27880574 "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,, "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,,256.848746 "Rodinia - Test: OpenMP HotSpot3D (sec)",LIB,91.898,83.891,104.312,99.307,87.086,80.938,81.104,79.756,79.925,70.558,66.744,63.862,70.311,66.266 "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,, "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: 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: 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,, "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,, "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,, "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,,228.726612 "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,, "ACES DGEMM - Sustained Floating-Point Rate (GFLOP/s)",HIB,2.740891,5.303240,0.933703,0.980601,2.285211,3.004623,4.167965,4.236534,5.476733,4.019649,7.431249,9.065396,4.272042,4.674576 "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,,102.6633 "Polyhedron Fortran Benchmarks - Benchmark: protein (sec)",LIB,12.35,11.64,15.61,14.51,12.14,11.54,12.23,12.12,12.03,9.4,9.28,9.22,8.71,8.78 "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,, "TensorFlow Lite - Model: Inception V4 (us)",LIB,4350823,2372930,4238377,3818640,3713107,2600840,1999070,1961940,1432403,3267580,1780380,1346957,,3177543 "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,, "TensorFlow Lite - Model: Inception ResNet V2 (us)",LIB,3938063,2139593,3834677,3446837,3356693,2351497,1795013,1761010,1288407,2946000,1598013,1212237,,2888087 "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,, "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,,0.09024429 "Fhourstones - Complex Connect-4 Solving (Kpos / sec)",HIB,15846.1,17624.8,11869.6,13100.0,15263.7,16160.1,15451.0,15572.8,15875.8,20100.7,20018.5,20223.0,22053.7,22097.2 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Slow (FPS)",HIB,3.93,6.80,2.91,3.19,4.50,5.96,7.37,7.56,10.26,5.16,8.47,10.80,5.43,5.45 "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,, "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Medium (FPS)",HIB,4.04,6.96,2.97,3.27,4.59,6.07,7.51,7.71,10.40,5.25,8.60,10.94,5.55,5.57 "Caffe - Model: AlexNet - Acceleration: CPU - Iterations: 200 (ms)",LIB,89584,75313,117470,108344,97587,96129,107356,105803,105617,74254,78347,80924,, "Rodinia - Test: OpenMP Leukocyte (sec)",LIB,131.403,82.982,154.758,141.018,127.402,118.735,88.589,86.786,77.777,106.397,72.564,69.810,91.133,91.509 "NAMD - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,2.08559,1.23607,3.45209,3.16104,2.86995,2.11711,1.54488,1.49526,1.14997,2.37935,1.27408,1.07098,2.37579,2.36424 "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,, "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,, "OpenVKL - Benchmark: vklBenchmark (Items / Sec)",HIB,114.36,192.75,67.42,75.14,94.03,128.78,177.75,182.97,236.58,125.94,233.83,286.17,130,131 "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,,0.00072651 "libavif avifenc - Encoder Speed: 0 (sec)",LIB,106.409,71.859,135.738,124.210,101.968,80.884,68.184,67.303,59.399,88.135,58.650,52.752,84.513,84.559 "GraphicsMagick - Operation: Rotate (Iterations/min)",HIB,862,945,623,657,754,794,766,726,799,1035,1056,1042,1228,1285 "Zstd Compression - Compression Level: 19 (MB/s)",HIB,37.2,30.3,21.6,22.1,27,32.3,38.7,38.9,39.5,33.5,44.6,44.2,46.8,47.3 "Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,,,,,,,,,,4.293,,,, "VP9 libvpx Encoding - Speed: Speed 0 (FPS)",HIB,7.88,8.08,5.43,5.89,7.69,8.08,7.73,7.80,7.83,9.68,9.51,9.50,10.77,10.76 "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,,6.68 "Stockfish - Total Time (Nodes/s)",HIB,19653079,35726813,16238519,18145930,20871771,27808441,38124311,38915395,52407367,24584351,45601255,56742350,25803867,25366080 "PyPerformance - Benchmark: raytrace (Milliseconds)",LIB,373,353,627,582,427,406,428,413,417,352,344,344,,337 "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,, "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: Person Detection 0106 FP16 - Device: CPU (ms)",LIB,,,,,,,,,,3087.08,,,, "Timed MrBayes Analysis - Primate Phylogeny Analysis (sec)",LIB,68.834,63.630,97.132,87.269,69.253,66.905,72.744,69.941,70.243,54.525,56.992,61.580,54.541,54.456 "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 FP32 - Device: CPU (ms)",LIB,,,,,,,,,,3144.77,,,, "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,,77.926 "Chaos Group V-RAY - Mode: CPU (Ksamples)",HIB,11261,19765,8728,9499,11409,15422,20910,21517,28416,14310,26420,32561,, "OpenVINO - Model: Face Detection 0106 FP32 - Device: CPU (ms)",LIB,,,,,,,,,,2244.48,,,, "OpenVINO - Model: Face Detection 0106 FP16 - Device: CPU (ms)",LIB,,,,,,,,,,2225.20,,,, "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,,17.71 "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,,22.62 "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,,11.44 "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,,10.38 "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,,3.87 "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,,2.51 "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,,2.92 "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,,11.99 "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,,9.45 "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,, "C-Ray - Total Time - 4K, 16 Rays Per Pixel (sec)",LIB,94.601,52.127,95.463,86.816,82.441,60.023,42.894,42.030,31.326,71.904,37.783,30.220,73.856,73.796 "LuxCoreRender - Scene: DLSC (M samples/sec)",HIB,1.26,2.21,1.10,1.22,1.33,1.80,2.40,2.50,3.29,1.61,2.93,3.59,1.58,1.60 "LuxCoreRender - Scene: Rainbow Colors and Prism (M samples/sec)",HIB,1.40,2.46,1.14,1.26,1.42,1.93,2.64,2.73,3.64,1.67,3.13,3.81,1.70,1.72 "TensorFlow Lite - Model: NASNet Mobile (us)",LIB,236704,147694,248092,222099,213644,156768,140368,139014,117199,180417,122229,106372,,175182 "TensorFlow Lite - Model: SqueezeNet (us)",LIB,296354,167595,288755,258726,251199,180202,138101,135602,100527,220801,123127,94678.2,,217143 "TensorFlow Lite - Model: Mobilenet Float (us)",LIB,202481,114230,195793,175332,171301,120735,93903.6,92214.2,66530.3,150133,83458.7,62588.7,,148018 "TensorFlow Lite - Model: Mobilenet Quant (us)",LIB,205404,117619,209204,188045,175736,123482,96280.2,94517.0,68497.9,164490,91290.4,67914.5,,169167 "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,, "John The Ripper - Test: MD5 (Real C/S)",HIB,752998,1331333,402572,443008,724083,991599,1366667,1413667,1868000,963686,1840667,2226000,, "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,,,,,,,,,,0.62,,,, "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,, "GraphicsMagick - Operation: Enhanced (Iterations/min)",HIB,150,269,119,131,157,215,298,301,407,176,330,420,176,177 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU (ms)",LIB,,,,,,,,,,0.63,,,, "GraphicsMagick - Operation: Resizing (Iterations/min)",HIB,739,1264,600,638,760,1031,1432,1415,1829,915,1610,1893,901,905 "oneDNN - Harness: IP Batch All - Data Type: f32 - Engine: CPU (ms)",LIB,64.9448,57.1675,145.400,132.882,71.4563,64.0201,51.4238,56.2274,47.4722,68.3735,48.4101,45.7354,54.0963,53.8081 "Timed PHP Compilation - Time To Compile (sec)",LIB,66.256,47.793,91.414,84.470,64.412,54.144,46.785,46.271,42.373,55.961,40.115,37.369,61.830,61.803 "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,,59.979 "Embree - Binary: Pathtracer - Model: Crown (FPS)",HIB,8.5744,15.4247,6.4088,7.0283,8.6544,11.5679,15.6590,16.0926,21.0440,10.6691,19.9229,24.2757,10.6376,10.6549 "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,, "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,9.7946,17.7041,5.9812,6.5124,8.3025,11.0482,14.9594,15.2873,19.8746,10.3912,19.4679,23.7842,10.4987,10.5553 "Timed FFmpeg Compilation - Time To Compile (sec)",LIB,70.339,44.869,91.675,83.974,65.266,51.240,40.482,39.518,33.467,56.223,34.155,29.818,59.286,59.360 "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,, "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,, "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,,44.168 "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,,32.358 "libavif avifenc - Encoder Speed: 2 (sec)",LIB,63.899,42.772,81.882,74.505,61.339,48.524,41.110,40.427,35.675,53.527,35.206,32.199,50.770,50.610 "Embree - Binary: Pathtracer - Model: Asian Dragon (FPS)",HIB,10.0729,17.6307,7.3993,7.9965,9.6303,12.5210,16.8430,16.9900,21.8692,11.9231,20.3789,25.0722,12.2439,12.2833 "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,,4.556 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,12.3370,20.4299,7.1159,7.5856,9.5120,12.4007,16.5255,16.8323,21.6635,12.1775,20.4798,25.5897,12.3512,12.4326 "NCNN - Target: CPU - Model: alexnet (ms)",LIB,,,,,,,,,,15.30,,,,10.81 "NCNN - Target: CPU - Model: vgg16 (ms)",LIB,,,,,,,,,,61.72,,,,41.22 "NCNN - Target: CPU - Model: blazeface (ms)",LIB,,,,,,,,,,0.98,,,,0.94 "NCNN - Target: CPU - Model: mnasnet (ms)",LIB,,,,,,,,,,2.87,,,,2.68 "NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,,,,,,,,,,2.17,,,,2.10 "POV-Ray - Trace Time (sec)",LIB,59.339,33.731,74.150,67.329,58.728,42.767,31.534,30.580,23.510,50.221,27.417,23.011,49.560,49.640 "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,,41.036 "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,,37.81304 "x265 - Video Input: Bosphorus 4K (FPS)",HIB,12.56,18.81,8.30,9.10,11.70,12.48,19.37,19.65,23.09,14.47,23.54,26.50,15.85,15.94 "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,, "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,, "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS)",HIB,11.47,19.57,8.11,8.90,12.75,16.95,20.64,21.16,25.17,14.63,23.74,26.59,15.49,15.52 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,344.920,214.088,722.395,658.700,318.339,262.999,232.657,220.215,207.121,282.751,179.867,161.223,245.948,244.138 "Timed MPlayer Compilation - Time To Compile (sec)",LIB,47.827,29.038,62.744,57.547,43.900,33.928,25.767,25.063,20.775,38.574,22.023,19.020,43.653,43.846 "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,,31.702 "7-Zip Compression - Compress Speed Test (MIPS)",HIB,41897,64772,31429,33526,43855,56370,76909,77550,90071,54132,89437,94779,61130,61019 "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,,21.027 "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,,23.254 "WebP Image Encode - Encode Settings: Quality 100, Lossless, Highest Compression (Encode Time - sec)",LIB,33.155,31.120,40.304,38.030,32.530,31.204,32.012,32.579,32.301,27.908,27.616,27.271,26.822,26.731 "oneDNN - Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU (ms)",LIB,5.45967,2.96253,12.6867,11.8845,6.59016,4.48876,3.26437,3.15304,2.47606,4.92077,2.72467,2.27610,4.72485,4.72105 "PyPerformance - Benchmark: nbody (Milliseconds)",LIB,98.7,93.0,156,142,105,100,103,101,102,90.1,88.7,89.0,,99.5 "TTSIOD 3D Renderer - Phong Rendering With Soft-Shadow Mapping (FPS)",HIB,417.526,706.153,285.889,305.104,420.457,545.543,670.094,684.390,829.786,576.380,873.702,1025.44,435.664,438.317 "Zstd Compression - Compression Level: 3 (MB/s)",HIB,3633.4,2922.3,3204.6,3309.9,4561.3,4265.9,4499.8,4483.5,4059.1,6000.4,5879.8,4896.1,6992.1,7049.1 "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,,32419.029 "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,,30.814 "Intel Open Image Denoise - Scene: Memorial (Images / Sec)",HIB,6.87,11.10,2.68,3.12,6.36,7.65,11.04,10.46,12.89,6.97,11.91,13.74,6.93,7.00 "PyPerformance - Benchmark: regex_compile (Milliseconds)",LIB,140,134,204,189,158,150,158,153,153,126,123,123,,125 "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,, "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,, "Timed ImageMagick Compilation - Time To Compile (sec)",LIB,35.433,24.738,48.653,45.133,33.447,27.965,23.221,22.766,20.576,29.815,19.524,18.171,32.565,32.651 "LibRaw - Post-Processing Benchmark (Mpix/sec)",HIB,36.94,41.50,26.28,28.68,39.02,41.76,43.19,43.59,44.57,49.12,53.42,54.99,54.04,53.96 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Slow (FPS)",HIB,16.12,28.39,11.81,13.02,17.89,25.54,27.34,27.66,36.26,20.47,30.56,38.43,22.55,22.57 "John The Ripper - Test: Blowfish (Real C/S)",HIB,13022,23591,9113,10215,10481,14494,20244,20729,28096,16301,30214,38305,, "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,,20.527 "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,,12.2 "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,, "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Medium (FPS)",HIB,16.67,29.36,12.13,13.39,18.36,26.20,28.13,28.56,37.16,20.98,31.47,39.37,23.11,23.21 "SciMark - Computational Test: Composite (Mflops)",HIB,741.22,829.30,494.99,528.11,716.75,732.75,717.42,743.57,751.35,830.95,871.93,885.60,841.47,842.47 "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,, "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,, "oneDNN - Harness: IP Batch 1D - Data Type: f32 - Engine: CPU (ms)",LIB,4.33647,3.28562,10.4448,9.61005,5.73687,6.23646,3.80031,4.81380,4.03926,4.22337,3.00338,3.20910,3.98144,3.94267 "C-Blosc - Compressor: blosclz (MB/s)",HIB,10868.2,10815.8,9570.9,9986.4,11552.0,11505.5,11595.2,11473.9,11474.9,15561.0,14645.4,14032.5,19201.6,19246.1 "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,, "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,, "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: 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,, "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 (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,, "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,, "Polyhedron Fortran Benchmarks - Benchmark: air (sec)",LIB,2,1.99,1.82,1.7,1.63,1.55,1.6,1.57,1.59,1.37,1.36,1.36,1.17,1.18 "VP9 libvpx Encoding - Speed: Speed 5 (FPS)",HIB,28.66,30.34,17.34,19.30,25.99,26.99,25.83,25.64,25.37,32.83,31.12,30.81,42.91,42.92 "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,, "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,, "Crafty - Elapsed Time (Nodes/s)",HIB,9196154,10087418,6718403,7221279,8912018,8805287,9268070,9071528,9195403,11191962,11404838,11519567,11567133,11536910 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Ultra Fast (FPS)",HIB,20.85,35.25,14.74,16.17,22.84,30.13,36.08,36.87,45.92,26.22,41.70,48.99,28.23,28.49 "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,, "Timed Apache Compilation - Time To Compile (sec)",LIB,21.479,18.040,31.456,28.527,22.725,21.203,20.919,20.674,20.214,19.276,17.293,17.189,22.769,22.825 "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,,211.169 "Botan - Test: Blowfish (MiB/s)",HIB,523.673,556.852,420.788,455.947,480.701,499.691,492.735,488.014,501.990,539.218,548.748,550.628,500.571,500.384 "Botan - Test: Twofish (MiB/s)",HIB,420.583,446.453,343.934,370.256,390.471,411.267,403.651,393.717,400.119,453.519,461.362,465.902,419.157,418.780 "DaCapo Benchmark - Java Test: H2 (msec)",LIB,2778,2747,4061,3559,3090,2908,3130,3050,3255,2519,2656,2712,2079,2095 "Rodinia - Test: OpenMP CFD Solver (sec)",LIB,28.486,18.343,31.784,30.499,27.160,22.290,13.597,13.294,10.819,21.283,12.172,10.267,21.027,21.007 "Botan - Test: CAST-256 (MiB/s)",HIB,165.638,176.074,137.693,148.856,157.465,168.045,162.647,159.834,157.120,169.184,173.790,177.013,167.676,167.581 "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,,1980.3 "PyBench - Total For Average Test Times (Milliseconds)",LIB,820,773,1159,1062,888,871,888,866,876,739,730,718,,763 "Nebular Empirical Analysis Tool - (sec)",LIB,19.679,14.234,22.752,20.882,18.048,14.968,13.477,13.226,12.242,15.167,11.016,10.363,14.618,13.766 "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,, "Polyhedron Fortran Benchmarks - Benchmark: linpk (sec)",LIB,2.64,2.28,4.4,4.34,3.13,3.12,3.2,3.22,3.03,1.55,1.53,1.54,1.35,1.35 "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,,15.572 "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,,212.971 "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,,0.985 "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,,7.793 "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,, "Dolfyn - Computational Fluid Dynamics (sec)",LIB,17.131,16.398,19.282,18.029,16.154,15.382,16.128,15.636,15.568,13.137,12.840,12.820,13.636,13.666 "WebP Image Encode - Encode Settings: Quality 100, Lossless (Encode Time - sec)",LIB,15.452,15.084,20.229,18.760,15.618,15.036,15.258,14.855,15.638,13.261,12.629,12.764,12.972,12.908 "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: 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,, "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,, "DaCapo Benchmark - Java Test: Tradesoap (msec)",LIB,3977,2884,6357,5978,4395,3663,3389,3348,3460,3531,2836,2925,3053,3086 "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,, "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,, "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,, "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,, "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,,5.895 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Very Fast (FPS)",HIB,43.82,69.90,31.37,34.63,48.14,60.10,62.50,63.26,82.24,55.56,69.63,86.94,59.46,59.46 "Smallpt - Global Illumination Renderer; 128 Samples (sec)",LIB,14.204,7.905,17.031,15.459,13.517,9.847,7.092,6.944,5.200,11.606,6.160,4.937,11.679,11.660 "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,, "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,, "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,, "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,, "Timed MAFFT Alignment - Multiple Sequence Alignment - LSU RNA (sec)",LIB,8.750,8.702,13.239,12.586,11.424,11.018,8.907,8.973,8.591,8.515,7.365,7.350,7.559,7.498 "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,, "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,, "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,,6.108 "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,, "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,, "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,,5.807 "WebP Image Encode - Encode Settings: Quality 100, Highest Compression (Encode Time - sec)",LIB,6.387,6.024,8.290,7.753,6.916,6.567,6.804,6.555,6.748,5.454,5.340,5.334,5.661,5.593 "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,,5.765 "DaCapo Benchmark - Java Test: Jython (msec)",LIB,3676,3319,5626,5232,4215,3965,3990,3963,3946,3313,3068,3066,3008,3023 "x264 - H.264 Video Encoding (FPS)",HIB,75.14,126.19,57.58,62.20,77.19,98.32,136.32,139.09,162.49,93.58,158.81,172.75,97.26,97.02 "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,, "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,,16.8 "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,,267.793308 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Ultra Fast (FPS)",HIB,79.10,129.64,56.02,61.81,85.57,112.90,117.56,119.07,145.91,99.92,130.30,155.81,107.97,107.77 "SVT-VP9 - Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p (FPS)",HIB,154.53,210.08,92.99,99.99,134.25,149.99,202.63,198.20,217.13,153.90,226.26,234.14,191.13,191.82 "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,, "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,,5.399 "libavif avifenc - Encoder Speed: 8 (sec)",LIB,5.434,4.538,6.643,6.153,5.322,4.733,4.616,4.586,4.453,4.864,4.264,4.258,3.873,3.844 "SVT-VP9 - Tuning: Visual Quality Optimized - Input: Bosphorus 1080p (FPS)",HIB,122.76,186.01,75.58,81.38,109.32,119.86,180.89,180.29,200.83,126.8,206.64,220.35,147.53,146.89 "libavif avifenc - Encoder Speed: 10 (sec)",LIB,5.102,4.379,6.252,5.820,4.970,4.456,4.395,4.336,4.305,4.574,4.138,4.133,3.582,3.557 "CloverLeaf - Lagrangian-Eulerian Hydrodynamics (sec)",LIB,4.04,5.64,4.53,4.54,4.90,5.06,3.89,3.99,3.86,4.51,3.73,3.85,2.73,2.70 "FFTE - N=256, 3D Complex FFT Routine (MFLOPS)",HIB,34083.368614570,25630.005048964,31041.651739149,32899.687800646,34238.231086660,37466.482170039,36851.901582848,35670.008724723,38565.531315546,36604.364895923,37925.620893458,36137.493677561,52371.745883323,52269.031530248 "oneDNN - Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU (ms)",LIB,8.71910,4.78766,18.9968,17.5858,9.02336,6.86557,5.08460,5.25366,4.29713,7.60324,4.71670,3.71587,7.20643,7.16943 "WebP Image Encode - Encode Settings: Quality 100 (Encode Time - sec)",LIB,2.115,2.009,2.621,2.442,2.189,2.099,2.175,2.088,2.161,1.821,1.743,1.729,1.736,1.730 "TSCP - AI Chess Performance (Nodes/s)",HIB,1482195,1572770,491520,1125468,1327838,1401832,1376972,1385206,1407253,1900557,1960074,1970776,1938017,1932602 "WebP Image Encode - Encode Settings: Default (Encode Time - sec)",LIB,1.374,1.294,1.728,1.615,1.434,1.367,1.414,1.365,1.369,1.177,1.153,1.145,1.114,1.110 "ctx_clock - Context Switch Time (Clocks)",LIB,178,150,204,180,190,156,190,177,175,148,148,136,,185 "SciMark - Computational Test: Dense LU Matrix Factorization (Mflops)",HIB,1084.83,1176.07,404.71,431.56,1003.69,1010.57,1000.22,1019.65,1022.73,1476.82,1485.05,1501.03,1505.17,1505.60 "SciMark - Computational Test: Fast Fourier Transform (Mflops)",HIB,265.78,390.00,200.98,201.06,306.45,262.48,310.86,371.29,374.19,338.34,495.79,521.05,340.02,345.46 "SciMark - Computational Test: Monte Carlo (Mflops)",HIB,165.10,179.16,131.78,140.76,159.39,168.24,159.96,163.05,165.36,185.18,189.65,192.12,180.21,179.88