AMD Ryzen 3 2200G testing with a ASUS PRIME B350M-E (5220 BIOS) and ASUS AMD Radeon Vega / Mobile 2GB on Ubuntu 20.10 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2101191-HA-RYZEN322022
Ryzen 3 2200G 2021,
"Algebraic Multi-Grid Benchmark 1.2 - ",
Higher Results Are Better
"1",213412800,214092400,212969400
"2",215303400,213541300,213852000
"3",213157800,214259700,214800400
"AOM AV1 2.0 - Encoder Mode: Speed 4 Two-Pass",
Higher Results Are Better
"1",1.39,1.37,1.38
"2",1.38,1.38,1.38
"3",1.41,1.4,1.39
"AOM AV1 2.0 - Encoder Mode: Speed 6 Realtime",
Higher Results Are Better
"1",10.21,10.09,10.1
"2",10.28,10.02,10.05
"3",10.5,10.17,10.09
"AOM AV1 2.0 - Encoder Mode: Speed 6 Two-Pass",
Higher Results Are Better
"1",2.22,2.21,2.22
"2",2.22,2.22,2.22
"3",2.22,2.25,2.24
"AOM AV1 2.0 - Encoder Mode: Speed 8 Realtime",
Higher Results Are Better
"1",27.2,27.23,27.16
"2",27.16,27.14,27.24
"3",27.29,27.33,27.25
"asmFish 2018-07-23 - 1024 Hash Memory, 26 Depth",
Higher Results Are Better
"1",7696997,7795531,7751612
"2",7887276,7713402,7807807
"3",7611696,7709319,7686114
"ASTC Encoder 2.0 - Preset: Fast",
Lower Results Are Better
"1",9.69,9.68,9.88
"2",9.76,9.81,9.66
"3",9.78,9.7,9.92
"ASTC Encoder 2.0 - Preset: Medium",
Lower Results Are Better
"1",12.71,12.79,12.8
"2",12.9,12.76,12.82
"3",12.7,12.73,12.81
"ASTC Encoder 2.0 - Preset: Thorough",
Lower Results Are Better
"1",83.94,84.65,84.4
"2",84.2,84.81,84.82
"3",84.5,84.56,84.41
"ASTC Encoder 2.0 - Preset: Exhaustive",
Lower Results Are Better
"1",694.33,695.51,698.3
"2",696.81,698.41,697.27
"3",695.01,695.64,695.06
"Basis Universal 1.12 - Settings: ETC1S",
Lower Results Are Better
"1",82.135,81.969,82.077
"2",82.445,81.955,82.135
"3",82.187,81.96,82.081
"Basis Universal 1.12 - Settings: UASTC Level 0",
Lower Results Are Better
"1",11.865,11.94,11.888
"2",11.925,11.998,12.239
"3",11.859,11.869,11.861
"Basis Universal 1.12 - Settings: UASTC Level 2",
Lower Results Are Better
"1",86.044,86.532,86.86
"2",86.187,86.694,86.74
"3",86.05,86.376,86.594
"Build2 0.13 - Time To Compile",
Lower Results Are Better
"1",514.323,515.3,513.823
"2",520.791,513.916,514.841
"3",516.675,512.695,515.026
"BYTE Unix Benchmark 3.6 - Computational Test: Dhrystone 2",
Higher Results Are Better
"1",36059497.1,35091593.5,35347268.4
"2",35378389.7,35947886.9,36048968.8
"3",34420043.2,35925884.8,35937019.7
"Caffe 2020-02-13 - Model: AlexNet - Acceleration: CPU - Iterations: 100",
Lower Results Are Better
"1",41557,41850,42225
"2",41491,41745,41779
"3",41305,41760,41653
"Caffe 2020-02-13 - Model: GoogleNet - Acceleration: CPU - Iterations: 100",
Lower Results Are Better
"1",109887,110111,110254
"2",110276,110398,110287
"3",109747,110211,110514
"CLOMP 1.2 - Static OMP Speedup",
Higher Results Are Better
"1",
"2",2,1.9,2
"3",
"CloverLeaf - Lagrangian-Eulerian Hydrodynamics",
Lower Results Are Better
"1",191.11387491226,191.34653687477,191.76486706734
"2",191.58367204666,191.40936398506,191.35375213623
"3",190.87704205513,191.04066610336,191.11079192162
"Coremark 1.0 - CoreMark Size 666 - Iterations Per Second",
Higher Results Are Better
"1",102027.802576,104119.216503,101426.307448
"2",101355.631572,101613.108091,102327.961115
"3",103079.500064,102060.343178,101878.382681
"CP2K Molecular Dynamics 8.1 - Fayalite-FIST Data",
Lower Results Are Better
"1",
"2",
"3",
"Crafty 25.2 - Elapsed Time",
Higher Results Are Better
"1",6268571,6277373,6276882
"2",6218031,6258246,6288768
"3",6298694,6299145,6368367
"Darktable 3.2.1 - Test: Boat - Acceleration: CPU-only",
Lower Results Are Better
"1",25.071,25.171,25.376
"2",28.687,25.338,25.357,25.47,25.435,25.596,25.654,25.608,25.649,26.817,25.82,25.75,25.538
"3",25.272,25.533,25.549
"Darktable 3.2.1 - Test: Masskrug - Acceleration: CPU-only",
Lower Results Are Better
"1",24.117,24.233,24.167
"2",24.449,24.6,24.506
"3",24.058,24.181,24.344
"Darktable 3.2.1 - Test: Server Rack - Acceleration: CPU-only",
Lower Results Are Better
"1",0.337,0.339,0.342
"2",0.344,0.343,0.34
"3",0.351,0.337,0.344
"Darktable 3.2.1 - Test: Server Room - Acceleration: CPU-only",
Lower Results Are Better
"1",20.283,20.86,20.942
"2",20.769,21.07,21.184
"3",20.356,20.9,20.961
"dav1d 0.8.1 - Video Input: Chimera 1080p",
Higher Results Are Better
"1",184.33,184.21,184.22
"2",180.81,184.96,186.74
"3",180.11,185.51,186.03
"dav1d 0.8.1 - Video Input: Summer Nature 4K",
Higher Results Are Better
"1",52.61,51.62,51.52
"2",52.74,51.69,51.56
"3",52.96,51.76,51.56
"dav1d 0.8.1 - Video Input: Summer Nature 1080p",
Higher Results Are Better
"1",182.3,181.85,184.51
"2",183.08,183.34,184.07
"3",185.05,184.11,185.27
"dav1d 0.8.1 - Video Input: Chimera 1080p 10-bit",
Higher Results Are Better
"1",52.28,52.51,52.85
"2",52.54,51.98,52.64
"3",52.9,53.73,53.91
"Dolfyn 0.527 - Computational Fluid Dynamics",
Lower Results Are Better
"1",21.206,21.018,20.982
"2",21.1,21.081,21.235
"3",21.03,20.905,21.028
"Embree 3.9.0 - Binary: Pathtracer - Model: Crown",
Higher Results Are Better
"1",2.7884,2.7404,2.7516
"2",2.7733,2.766,2.7585
"3",2.7952,2.771,2.7674
"Embree 3.9.0 - Binary: Pathtracer ISPC - Model: Crown",
Higher Results Are Better
"1",2.5888,2.5748,2.5822
"2",2.5514,2.587,2.5626
"3",2.5946,2.5502,2.6037
"Embree 3.9.0 - Binary: Pathtracer - Model: Asian Dragon",
Higher Results Are Better
"1",3.2773,3.338,3.3267
"2",3.3087,3.2878,3.3373
"3",3.2861,3.3871,3.3564
"Embree 3.9.0 - Binary: Pathtracer - Model: Asian Dragon Obj",
Higher Results Are Better
"1",3.0303,2.9484,2.9922
"2",2.9894,2.9432,2.9719
"3",3.0213,2.9516,2.9618
"Embree 3.9.0 - Binary: Pathtracer ISPC - Model: Asian Dragon",
Higher Results Are Better
"1",3.2205,3.2665,3.2424
"2",3.2256,3.2694,3.2563
"3",3.2438,3.2523,3.2484
"Embree 3.9.0 - Binary: Pathtracer ISPC - Model: Asian Dragon Obj",
Higher Results Are Better
"1",2.8332,2.7962,2.8303
"2",2.8198,2.8685,2.823
"3",2.7941,2.8445,2.8066
"eSpeak-NG Speech Engine 20200907 - Text-To-Speech Synthesis",
Lower Results Are Better
"1",34.926,35.044,35.421,35.146
"2",34.982,35.329,35.441,35.524
"3",35.195,35.34,35.095,35.617
"FFTE 7.0 - N=256, 3D Complex FFT Routine",
Higher Results Are Better
"1",15492.693718425,15533.708088818,15152.028048522
"2",15541.605092297,15909.406640025,15815.744082964
"3",15711.64067994,15152.545602329,15448.219454725
"GIMP 2.10.18 - Test: resize",
Lower Results Are Better
"1",13.037,12.74,12.788
"2",12.871,12.744,12.982
"3",13.032,12.706,12.739
"GIMP 2.10.18 - Test: rotate",
Lower Results Are Better
"1",14.479,14.475,14.507
"2",14.46,14.41,14.541
"3",14.384,14.403,14.485
"GIMP 2.10.18 - Test: auto-levels",
Lower Results Are Better
"1",15.901,15.927,15.943
"2",16.011,15.652,15.897
"3",15.786,15.903,15.992
"GIMP 2.10.18 - Test: unsharp-mask",
Lower Results Are Better
"1",17.341,17.353,17.301
"2",17.373,17.228,17.349
"3",17.321,17.292,17.37
"GLmark2 2020.04 - Resolution: 1920 x 1080",
Higher Results Are Better
"1",
"2",
"3",
"Google SynthMark 20201109 - Test: VoiceMark_100",
Higher Results Are Better
"1",597.089,598.447,593.226
"2",594.859,597.209,597.778
"3",591.638,594.381,595.708
"GROMACS 2020.3 - Water Benchmark",
Higher Results Are Better
"1",0.329,0.335,0.334
"2",0.327,0.334,0.328
"3",0.316,0.33,0.332
"Hierarchical INTegration 1.0 - Test: FLOAT",
Higher Results Are Better
"1",300870890.00454,301739970.26838,301389189.70853
"2",301490385.92398,301868716.18175,301703338.45953
"3",302227671.22675,301480960.52789,299847318.01264
"Hugin - Panorama Photo Assistant + Stitching Time",
Lower Results Are Better
"1",81.074,81.89,83.054
"2",83.493,83.175,84.076
"3",81.935,82.313,82.315
"Incompact3D 2020-09-17 - Input: Cylinder",
Lower Results Are Better
"1",818.003479,806.85083,808.009827
"2",802.007874,836.027039,825.132263
"3",821.064331,823.683655,816.220459
"IndigoBench 4.4 - Acceleration: CPU - Scene: Bedroom",
Higher Results Are Better
"1",0.492,0.494,0.496
"2",0.495,0.494,0.494
"3",0.501,0.497,0.495
"IndigoBench 4.4 - Acceleration: CPU - Scene: Supercar",
Higher Results Are Better
"1",1.11,1.112,1.1
"2",1.081,1.11,1.104
"3",1.108,1.107,1.103
"InfluxDB 1.8.2 - Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000",
Higher Results Are Better
"1",723218.7,699049.4,695838.4
"2",709121.1,689123.7,689783.8
"3",711743.5,695089.9,694830.4
"InfluxDB 1.8.2 - Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000",
Higher Results Are Better
"1",725172.1,718969.3,720143.6
"2",728274.2,724862.3,722536.1
"3",729023.2,717363.4,723279.6
"KeyDB 6.0.16 - ",
Higher Results Are Better
"1",270718.81,259875.13,264629.42
"2",271266.88,264632.8,265739.16
"3",270955.21,270837.89,265340.35
"Kripke 1.2.4 - ",
Higher Results Are Better
"1",4847969,4775156
"2",3147468,3158661,3047023
"Kvazaar 2.0 - Video Input: Bosphorus 4K - Video Preset: Medium",
Higher Results Are Better
"1",1.49,1.49,1.49
"2",1.49,1.49,1.49
"3",1.5,1.5,1.49
"Kvazaar 2.0 - Video Input: Bosphorus 1080p - Video Preset: Medium",
Higher Results Are Better
"1",6.49,6.53,6.5
"2",6.51,6.53,6.49
"3",6.51,6.47,6.53
"Kvazaar 2.0 - Video Input: Bosphorus 4K - Video Preset: Very Fast",
Higher Results Are Better
"1",3.94,3.95,3.94
"2",3.94,3.93,3.94
"3",3.96,3.93,3.95
"Kvazaar 2.0 - Video Input: Bosphorus 4K - Video Preset: Ultra Fast",
Higher Results Are Better
"1",6.86,6.8,6.86
"2",6.79,6.93,6.84
"3",6.87,6.81,6.82
"Kvazaar 2.0 - Video Input: Bosphorus 1080p - Video Preset: Very Fast",
Higher Results Are Better
"1",15.71,15.57,15.52
"2",15.43,15.64,15.5
"3",15.63,15.56,15.68
"Kvazaar 2.0 - Video Input: Bosphorus 1080p - Video Preset: Ultra Fast",
Higher Results Are Better
"1",27.3,26.77,26.96
"2",26.98,27.11,27.13
"3",27.08,27,27.06
"LAMMPS Molecular Dynamics Simulator 29Oct2020 - Model: Rhodopsin Protein",
Higher Results Are Better
"1",2.633,2.586,2.591
"2",2.552,2.647,2.56
"3",2.585,2.675,2.58
"LeelaChessZero 0.26 - Backend: BLAS",
Higher Results Are Better
"1",436,436,400,435,438,435,435,438
"2",366,356,387,400,387,368,355,395,355
"3",355,348,356
"LeelaChessZero 0.26 - Backend: Eigen",
Higher Results Are Better
"1",439,451,455
"2",
"3",388,354,403,372,356,381,385,381,375
"LibRaw 0.20 - Post-Processing Benchmark",
Higher Results Are Better
"1",19.46,19.33,19.29
"2",19.87,19.51,19.61
"3",20.03,19.69,19.64
"LULESH 2.0.3 - ",
Higher Results Are Better
"1",1179.824,1179.3445,1181.1227
"2",1207.8549,1209.7463,1207.5587
"3",1203.9567,1209.9461,1210.1526
"LZ4 Compression 1.9.3 - Compression Level: 1 - Compression Speed",
Higher Results Are Better
"1",7940.21,8096.73,7945.95
"2",7940.01,8084.04,8022.11
"3",8087.43,7839.29,8140.72
"LZ4 Compression 1.9.3 - Compression Level: 1 - Decompression Speed",
Higher Results Are Better
"1",8712.3,8720.7,8734.1
"2",8639.4,8663.5,8636
"3",8605,8800,8665.2
"LZ4 Compression 1.9.3 - Compression Level: 3 - Compression Speed",
Higher Results Are Better
"1",42.02,43.9,42.39
"2",43.92,39.96,44.38,42.08,42.18,42.25,42.57,43.63,44.03,38.94,43.89,40.66,43.61,40.74,42.28
"3",43.42,37.92,44.16,42.82,42.21,37.76,36.12,42.39,43.56,41.86,42.81,42.27,44.43,43.54,41.92
"LZ4 Compression 1.9.3 - Compression Level: 3 - Decompression Speed",
Higher Results Are Better
"1",8515.3,8542.1,8605.5
"2",8494.5,8544.5,8562.2,8570.6,8514,8525,8542.4,8615.7,8571.8,8530.8,8553.4,8506,8539.7,8557.7,8589.1
"3",8499.7,8538.7,8545.2,8590.2,8553.5,8541.2,8549.5,8555.2,8535.4,8533.4,8592.3,8541.2,8559.6,8533.2,8539.6
"LZ4 Compression 1.9.3 - Compression Level: 9 - Compression Speed",
Higher Results Are Better
"1",43.81,45.93,35.77,40.75,45.03,45.12,40.78,41.07,41.51,41.39,41.55,43.02,43.14
"2",41.82,43.05,39.24,42.17,41.37,40.26,43.19,41.4,36.17,37.76,39.22,41.59,43.19,43.43,41.39
"3",42.68,38.26,41.44,41.48,40.38,41.35,41.44,38.45,43.02,39.49,43.14,43.68,42,38.6,42.97
"LZ4 Compression 1.9.3 - Compression Level: 9 - Decompression Speed",
Higher Results Are Better
"1",8574.4,8553.4,8534,8592.3,8573.8,8551.3,8513.2,8593.6,8560,8586.4,8575.7,8567.8,8571.8
"2",8612.2,8545.4,8559,8569.5,8527.1,8538,8537.5,8548.3,8555.4,8548.2,8543.5,8567.8,8514.6,8555.3,8560.4
"3",8538.2,8579.9,8579.9,8547,8556.9,8575.1,8563.4,8555.3,8551.6,8564,8559.3,8561.5,8570.9,8585.4,8554.3
"Mobile Neural Network 1.1.1 - Model: SqueezeNetV1.0",
Lower Results Are Better
"1",9.621,9.589,9.986
"2",9.688,9.595,9.556
"3",9.755,9.984,9.862
"Mobile Neural Network 1.1.1 - Model: resnet-v2-50",
Lower Results Are Better
"1",51.215,49.541,49.892
"2",49.61,50.546,50.65
"3",50.968,50.473,50.027
"Mobile Neural Network 1.1.1 - Model: MobileNetV2_224",
Lower Results Are Better
"1",5.398,5.412,5.461
"2",5.492,5.402,5.364
"3",5.325,5.425,5.443
"Mobile Neural Network 1.1.1 - Model: mobilenet-v1-1.0",
Lower Results Are Better
"1",7.421,7.409,7.354
"2",7.618,7.4,7.561
"3",7.285,7.282,7.373
"Mobile Neural Network 1.1.1 - Model: inception-v3",
Lower Results Are Better
"1",63.229,63.246,63.771
"2",63.622,64.641,63.729
"3",63.008,63.156,63.643
"Monkey Audio Encoding 3.99.6 - WAV To APE",
Lower Results Are Better
"1",16.152,15.897,15.892,15.919,15.917
"2",16.306,16,15.926,15.862,15.878
"3",16.183,15.959,15.936,15.945,15.953
"Monte Carlo Simulations of Ionised Nebulae 2019-03-24 - Input: Dust 2D tau100.0",
Lower Results Are Better
"1",
"2",339,343,337
"3",340,342,342
"NAMD 2.14 - ATPase Simulation - 327,506 Atoms",
Lower Results Are Better
"1",6.72807,6.75695,6.77718
"2",6.82862,6.84606,6.72237
"3",7.17657,6.69858,6.76515,6.82167,6.70223
"NCNN 20201218 - Target: CPU - Model: mobilenet",
Lower Results Are Better
"1",47.73,46.51,46.24
"2",46.4,46.62,46.45
"3",46.35,46.38,46.22
"NCNN 20201218 - Target: CPU-v2-v2 - Model: mobilenet-v2",
Lower Results Are Better
"1",11.45,10.99,11.17
"2",10.77,10.92,11.05
"3",10.94,11.13,11.04
"NCNN 20201218 - Target: CPU-v3-v3 - Model: mobilenet-v3",
Lower Results Are Better
"1",9.72,9.75,9.54
"2",9.44,9.59,9.44
"3",9.61,9.64,9.53
"NCNN 20201218 - Target: CPU - Model: shufflenet-v2",
Lower Results Are Better
"1",12.85,12.64,12.45
"2",12.64,12.9,13.12
"3",12.96,12.66,12.48
"NCNN 20201218 - Target: CPU - Model: mnasnet",
Lower Results Are Better
"1",10.53,10.57,10.4
"2",10.54,10.24,10.24
"3",10.35,10.25,10.15
"NCNN 20201218 - Target: CPU - Model: efficientnet-b0",
Lower Results Are Better
"1",17.36,16.98,16.87
"2",16.75,16.71,16.81
"3",16.65,17.05,16.97
"NCNN 20201218 - Target: CPU - Model: blazeface",
Lower Results Are Better
"1",3.31,3.33,3.29
"2",3.27,3.35,3.38
"3",3.35,3.23,3.29
"NCNN 20201218 - Target: CPU - Model: googlenet",
Lower Results Are Better
"1",32.94,32.36,32.47
"2",32.76,32.72,32.9
"3",32.77,32.32,32.19
"NCNN 20201218 - Target: CPU - Model: vgg16",
Lower Results Are Better
"1",117.45,116.85,117.26
"2",119.46,118.95,119.72
"3",117.14,117.71,117.5
"NCNN 20201218 - Target: CPU - Model: resnet18",
Lower Results Are Better
"1",29.03,28.76,29.32
"2",29.24,28.84,29.04
"3",29.76,29.17,28.6
"NCNN 20201218 - Target: CPU - Model: alexnet",
Lower Results Are Better
"1",23.23,23.15,23.51
"2",23.51,23.46,23.28
"3",23.64,23.5,23.4
"NCNN 20201218 - Target: CPU - Model: resnet50",
Lower Results Are Better
"1",74.18,71.92,71.55
"2",72.36,73.58,73.49
"3",71.45,71.91,72.1
"NCNN 20201218 - Target: CPU - Model: yolov4-tiny",
Lower Results Are Better
"1",59.35,59.31,59.17
"2",59.26,59.54,59.45
"3",59.4,59.24,59.2
"NCNN 20201218 - Target: CPU - Model: squeezenet_ssd",
Lower Results Are Better
"1",59.47,59.39,59.31
"2",59.79,59.34,60.01
"3",58.87,59.32,59.82
"NCNN 20201218 - Target: CPU - Model: regnety_400m",
Lower Results Are Better
"1",19.08,19,19.25
"2",18.79,18.76,19.06
"3",18.41,19.02,18.82
"NCNN 20201218 - Target: Vulkan GPU - Model: mobilenet",
Lower Results Are Better
"1",46.41,46.35,46.45
"2",46.22,48.98,46.41,46.42
"3",46.21,46.3,46.44
"NCNN 20201218 - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2",
Lower Results Are Better
"1",10.86,10.91,10.88
"2",11.12,11.92,11.17,10.97
"3",9.93,10.94,11.17
"NCNN 20201218 - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3",
Lower Results Are Better
"1",9.4,9.83,9.53
"2",9.71,10.08,9.52,9.46
"3",9.78,9.47,9.56
"NCNN 20201218 - Target: Vulkan GPU - Model: shufflenet-v2",
Lower Results Are Better
"1",12.48,12.61,12.8
"2",13.43,12.66,12.97,12.84
"3",13.12,12.7,12.42
"NCNN 20201218 - Target: Vulkan GPU - Model: mnasnet",
Lower Results Are Better
"1",10.37,10.24,10.53
"2",10.46,10.98,10.05,10.25
"3",10.43,10.56,10.3
"NCNN 20201218 - Target: Vulkan GPU - Model: efficientnet-b0",
Lower Results Are Better
"1",16.91,16.91,17.11
"2",16.59,17.7,16.88,16.61
"3",17.18,16.75,16.76
"NCNN 20201218 - Target: Vulkan GPU - Model: blazeface",
Lower Results Are Better
"1",3.28,3.23,3.25
"2",3.29,3.35,3.35,3.26
"3",3.39,3.29,3.31
"NCNN 20201218 - Target: Vulkan GPU - Model: googlenet",
Lower Results Are Better
"1",32.9,32.58,32.21
"2",32.83,32.83,32.33,32.56
"3",32.46,32.85,32.47
"NCNN 20201218 - Target: Vulkan GPU - Model: vgg16",
Lower Results Are Better
"1",117.5,116.8,118.08
"2",119.23,118.95,119.25,118.22
"3",118.36,117.87,117.88
"NCNN 20201218 - Target: Vulkan GPU - Model: resnet18",
Lower Results Are Better
"1",29.61,29.18,28.72
"2",29.49,28.96,28.92,28.96
"3",29.24,29.28,29.32
"NCNN 20201218 - Target: Vulkan GPU - Model: alexnet",
Lower Results Are Better
"1",23.61,23.4,23.36
"2",23.32,23.22,23.25,23.18
"3",23.44,23.51,23.49
"NCNN 20201218 - Target: Vulkan GPU - Model: resnet50",
Lower Results Are Better
"1",71.59,71.39,72.06
"2",73.61,75.96,73.21,73.61
"3",72.28,71.39,71.41
"NCNN 20201218 - Target: Vulkan GPU - Model: yolov4-tiny",
Lower Results Are Better
"1",59.02,58.93,59.06
"2",59.38,59.57,59.39,59.26
"3",58.98,59.37,59.5
"NCNN 20201218 - Target: Vulkan GPU - Model: squeezenet_ssd",
Lower Results Are Better
"1",59.24,59.43,59.18
"2",58.89,59.52,59.24,59
"3",59.57,59.73,59.19
"NCNN 20201218 - Target: Vulkan GPU - Model: regnety_400m",
Lower Results Are Better
"1",18.7,18.94,19
"2",18.82,19.49,19.04,18.9
"3",19.05,19.08,19.08
"Node.js V8 Web Tooling Benchmark - ",
Higher Results Are Better
"1",7.22,7.46,7.45
"2",7.69,7.73,7.8
"3",7.12,7.38,7.56,7.44
"Numpy Benchmark - ",
Higher Results Are Better
"1",242.75,242.6,241.66
"2",240.7,241.78,241.6
"3",244.24,242.62,242.93
"OCRMyPDF 10.3.1+dfsg - Processing 60 Page PDF Document",
Lower Results Are Better
"1",52.886,52.711,52.427
"2",52.598,52.732,52.892
"3",52.786,53.04,53.131
"oneDNN 2.0 - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"1",16.392,16.8788,16.3579
"2",16.9271,16.3477,16.3925
"3",17.0172,16.6427,16.1726
"oneDNN 2.0 - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"1",13.4313,13.3763,11.7455,13.4437,13.4149,11.6846,13.476,13.4395,13.4274,13.3771,13.4794,13.3536,11.7311,13.3667,13.357
"2",11.8913,13.4567,13.5917,13.3864,13.4589,13.4242,13.5209,13.5541,13.4545,13.4578,13.4748,11.9147,13.4666,13.5434,11.9311
"3",13.2636,13.3776,13.457
"oneDNN 2.0 - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"1",14.566,14.842,14.4886
"2",14.9931,14.6209,14.9961
"3",15.294,15.3354,14.9631
"oneDNN 2.0 - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"1",5.79418,5.79262,5.85571
"2",5.81411,5.85645,5.8533
"3",5.76476,5.79254,5.81626
"oneDNN 2.0 - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"1",22.3538,23.2563,23.4538
"2",23.2695,23.8877,23.8802
"3",23.6599,23.9237,23.4256
"oneDNN 2.0 - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"1",22.0903,22.5319,23.0018
"2",21.643,23.0876,23.3143,22.2846,21.0935,21.5967,21.8125,23.3246,22.7759,21.6713,22.3231,21.9914,22.5986,22.9608,22.2378
"3",22.387,22.7257,22.873
"oneDNN 2.0 - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"1",30.6401,31.0977,30.6841
"2",30.9791,31.945,31.32
"3",30.6198,30.7564,31.0861
"oneDNN 2.0 - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"1",38.6275,39.1868,38.7033
"2",38.5347,39.3043,39.0795
"3",37.4863,39.0661,38.9641
"oneDNN 2.0 - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"1",42.6381,33.3553,38.434,44.0456,42.8602,45.3664,29.5461,29.6726,42.8351,29.7209,34.0249,31.3815,29.7646,32.8273,41.921
"2",44.9552,43.6409,33.4418,32.7701,43.2978,29.8622,43.6737,43.9259,29.5776,29.6876,43.5104,29.6053,29.8929,29.9645,29.8854
"3",32.505,29.7079,29.1921,32.9978,29.3675,43.2836,29.3489,31.5647,43.0714,29.5837,32.888,33.1943
"oneDNN 2.0 - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"1",29.562,29.8584,29.7089
"2",30.0651,29.6204,29.9811
"3",28.6622,29.6474,29.0534
"oneDNN 2.0 - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"1",8172.26,8540.11,8598.98
"2",8313.83,8112.62,8406.14
"3",8220.67,8407.38,8400.14
"oneDNN 2.0 - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"1",7741.11,7702.17,7720.12
"2",7964.23,7709.74,7708.43
"3",7881.52,7852.03,7779.6
"oneDNN 2.0 - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"1",8124.49,8013.08,8443.25
"2",8601.87,8101.02,8365.68
"3",8413.48,8472.51,8373.46
"oneDNN 2.0 - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"1",7823.7,7698.52,7718.4
"2",7779.68,7700,7697.2
"3",7699.55,7730.89,7674.81
"oneDNN 2.0 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"1",7.31852,7.35001,7.40379
"2",7.36891,7.34645,7.36647
"3",7.32815,7.30326,7.30913
"oneDNN 2.0 - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"1",8355.56,8382.75,7835.76,8268.75,8133.19
"2",9047.54,8428.84,8322.58,8310.74,8269.46,8832.1,8356.54,8425.96,8098.89,8405.07,8073.51,8442.15,8340.94,8682.84,8542.42
"3",8519.39,8388.43,8372.71
"oneDNN 2.0 - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"1",7886.9,7752.25,8101.69
"2",7650.06,7713.03,7640.74
"3",7762.85,7765.32,7723.31
"oneDNN 2.0 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"1",14.1654,15.4806,15.4223,13.4117,13.9951,15.7401,14.1206,15.7538,15.4771,13.6125,15.4546,14.0136,15.2941,15.5355,14.8452
"2",15.558,15.425,14.3612,15.5381,14.0931,15.6856,15.5792,15.5186,15.3107,15.5202,14.0208,13.613,15.4999,15.1048,15.4096
"3",15.3754,15.6416,15.6687
"OpenFOAM 8 - Input: Motorbike 30M",
Lower Results Are Better
"1",341.02,346.27,341.64
"2",339.77,339.01,339.84
"3",340.93,333.84,340.04
"Opus Codec Encoding 1.3.1 - WAV To Opus Encode",
Lower Results Are Better
"1",9.016,8.931,8.944,8.815,8.972
"2",8.942,8.844,8.861,8.97,8.998
"3",8.996,8.913,8.894,8.877,8.893
"OSBench - Test: Create Files",
Lower Results Are Better
"1",18.709295,18.083908,17.94446
"2",18.078432,18.728934,18.140171
"3",18.216331,18.644108,18.465147
"OSBench - Test: Create Threads",
Lower Results Are Better
"1",14.970303,14.891624,14.898777
"2",14.998913,14.770031,14.70089
"3",15.16819,14.669895,14.88924
"OSBench - Test: Launch Programs",
Lower Results Are Better
"1",81.589222,81.958771,81.021786
"2",81.90155,81.930161,82.070827
"3",82.199574,82.130432,81.889629
"OSBench - Test: Create Processes",
Lower Results Are Better
"1",26.359558,26.03054,26.180744
"2",26.44062,26.538372,26.459694
"3",26.450157,27.12965,26.991367
"OSBench - Test: Memory Allocations",
Lower Results Are Better
"1",81.768036,81.756115,81.703901
"2",81.937075,81.871033,82.190037
"3",87.091923,82.724094,87.080002
"PHPBench 0.8.1 - PHP Benchmark Suite",
Higher Results Are Better
"1",507773,507598,508947
"2",508649,502231,507286
"3",506077,499707,506693
"rav1e 0.4 - Speed: 5",
Higher Results Are Better
"1",0.847,0.847,0.85
"2",0.844,0.842,0.845
"3",0.839,0.839,0.839
"rav1e 0.4 - Speed: 6",
Higher Results Are Better
"1",1.091,1.075,1.08
"2",1.083,1.085,1.082
"3",1.094,1.085,1.087
"rav1e 0.4 - Speed: 10",
Higher Results Are Better
"1",2.543,2.584,2.591
"2",2.56,2.582,2.557
"3",2.632,2.654,2.632
"RawTherapee - Total Benchmark Time",
Lower Results Are Better
"1",123.678,123.582,123.793
"2",123.051,123.376,123.787
"3",123.062,123.414,123.54
"RealSR-NCNN 20200818 - Scale: 4x - TAA: No",
Lower Results Are Better
"1",63.075,63.016,62.993
"2",63.088,62.98,63.001
"3",63.029,63.013,62.964
"RealSR-NCNN 20200818 - Scale: 4x - TAA: Yes",
Lower Results Are Better
"1",482.557,482.629,482.64
"2",482.839,482.82,482.859
"3",482.553,482.555,482.546
"Redis 6.0.9 - Test: LPOP",
Higher Results Are Better
"1",2278268.75,2227314,2278050
"2",1277139.25,1261235.88,1236766.38
"3",1261558.62,1272712.5,1292196.38
"Redis 6.0.9 - Test: SADD",
Higher Results Are Better
"1",1712548,1748587.38,1745926.62
"2",1748867,1727115.75,1798618.75
"3",1727502.62,1733545.88,1742439
"Redis 6.0.9 - Test: LPUSH",
Higher Results Are Better
"1",1200787.5,1248759,1199462.88
"2",1207729.5,1218026.88,1213708.75
"3",1224577.75,1215105.75,1230169.75
"Redis 6.0.9 - Test: GET",
Higher Results Are Better
"1",2045513.38,2132742,2016129.12
"2",1897533.12,2012265.5,1934235.88,1872958.88,1938232.62
"3",1942928.25,1886792.5,1960784.38
"Redis 6.0.9 - Test: SET",
Higher Results Are Better
"1",1484391.62,1501741.75,1483774.38
"2",1512859.25,1449321.75,1497053.88
"3",1520291.75,1383258.62,1445503,1501645.62,1484106.75,1459947.5,1499442.25,1486121.88
"RNNoise 2020-06-28 - ",
Lower Results Are Better
"1",22.198,22.289,22.226
"2",22.853,22.404,24.176,22.28,22.202,22.288,22.956,22.387
"3",22.21,23.276,22.253
"simdjson 0.7.1 - Throughput Test: Kostya",
Higher Results Are Better
"1",0.38,0.38,0.38
"2",0.38,0.38,0.38
"3",0.38,0.38,0.38
"simdjson 0.7.1 - Throughput Test: LargeRandom",
Higher Results Are Better
"1",0.35,0.35,0.35
"2",0.35,0.35,0.35
"3",0.34,0.35,0.35
"simdjson 0.7.1 - Throughput Test: PartialTweets",
Higher Results Are Better
"1",0.45,0.45,0.44
"2",0.45,0.45,0.45
"3",0.45,0.45,0.45
"simdjson 0.7.1 - Throughput Test: DistinctUserID",
Higher Results Are Better
"1",0.46,0.46,0.46
"2",0.46,0.46,0.46
"3",0.46,0.46,0.46
"Sockperf 3.4 - Test: Throughput",
Higher Results Are Better
"1",554730,547063,535468,562366,575646
"2",562250,555980,551226,556632,572228
"3",551013,559772,556066,552257,569216
"Sockperf 3.4 - Test: Latency Ping Pong",
Lower Results Are Better
"1",7.072,7.078,6.794,6.917,6.773
"2",6.897,6.694,6.64,6.688,6.836
"3",6.767,6.787,6.973,6.886,6.535
"Sockperf 3.4 - Test: Latency Under Load",
Lower Results Are Better
"1",52.912,53.705,62.91,58.044,55.346,64.869,73.269,54.334,45.218,59.846,38.523,54.212,51.423,65.507,63.642,33.806,49.8,39.028,55.314,43.786
"2",47.906,57.801,77.37,49.191,33.198,57.608,47.652,40.562,54.097,67.304,56.981,56.406,53.792,36.901,63.994,43.703,49.479,44.691,55.199,53.412,48.128,58.413,58.141,54.869,52.145
"3",55.838,60.463,67.542,55.384,46.514,47.149,49.153,30.195,56.33,58.897,48.538,73.479,42.828,49.256,53.74,57.268,51.479,38.824,42.13,48.826,43.219,50.423,47.48,58.414,34.111
"SQLite Speedtest 3.30 - Timed Time - Size 1,000",
Lower Results Are Better
"1",80.965,81.44,81.26
"2",80.557,82.943,80.77
"3",81.104,81.369,83.327
"Stockfish 12 - Total Time",
Higher Results Are Better
"1",5727883,5797146,5629479
"2",5499526,5626488,5758645
"3",5574905,5708364,5662499
"Sunflow Rendering System 0.07.2 - Global Illumination + Image Synthesis",
Lower Results Are Better
"1",3.151,3.286,3.181
"2",3.099,3.136,3.209
"3",3.088,3.317,3.355,3.262,3.266,3.418,3.428,3.265,3.353,3.228,3.468,3.303,3.171,3.426,3.182
"TensorFlow Lite 2020-08-23 - Model: SqueezeNet",
Lower Results Are Better
"1",467441,467823,467972
"2",460523,464874,460469
"3",466822,468533,466856
"TensorFlow Lite 2020-08-23 - Model: Inception V4",
Lower Results Are Better
"1",6469840,6392450,6460760
"2",6403420,6377600,6388810
"3",6475640,6469680,6460380
"TensorFlow Lite 2020-08-23 - Model: NASNet Mobile",
Lower Results Are Better
"1",314718,315578,318040
"2",316460,317451,317728
"3",315899,314867,316603
"TensorFlow Lite 2020-08-23 - Model: Mobilenet Float",
Lower Results Are Better
"1",310221,309987,309629
"2",307468,302657,308685
"3",308497,316661,314489
"TensorFlow Lite 2020-08-23 - Model: Mobilenet Quant",
Lower Results Are Better
"1",330621,329024,326554
"2",319896,319512,316646
"3",325104,330911,325547
"TensorFlow Lite 2020-08-23 - Model: Inception ResNet V2",
Lower Results Are Better
"1",5695700,5684170,5694060
"2",5691440,5702280,5697530
"3",5699180,5691600,5676430
"Timed Eigen Compilation 3.3.9 - Time To Compile",
Lower Results Are Better
"1",112.853,114.583,113.123
"2",113.752,113.918,113.291
"3",112.873,113.359,112.66
"Timed FFmpeg Compilation 4.2.2 - Time To Compile",
Lower Results Are Better
"1",181.864,182.875,181.829
"2",182.595,183.298,183.179
"3",181.355,183.857,182.59
"Timed Godot Game Engine Compilation 3.2.3 - Time To Compile",
Lower Results Are Better
"1",501.518,500.986,501.096
"2",504.529,503.892,503.511
"3",502.044,503.153,502.628
"Timed HMMer Search 3.3.1 - Pfam Database Search",
Lower Results Are Better
"1",127.116,127.218,127.113
"2",127.212,127.625,128.098
"3",127.358,127.53,127.268
"Timed MAFFT Alignment 7.471 - Multiple Sequence Alignment - LSU RNA",
Lower Results Are Better
"1",15.469,14.806,14.852
"2",15.103,14.989,14.908
"3",15.232,14.879,14.995
"TNN 0.2.3 - Target: CPU - Model: MobileNet v2",
Lower Results Are Better
"1",279.301,279.284,279.433
"2",279.893,280.227,278.759
"3",279.81,278.798,279.226
"TNN 0.2.3 - Target: CPU - Model: SqueezeNet v1.1",
Lower Results Are Better
"1",287.36,287.398,287.007
"2",287.498,286.535,287.155
"3",286.183,286.131,286.107
"Unpacking Firefox 84.0 - Extracting: firefox-84.0.source.tar.xz",
Lower Results Are Better
"1",23.921,23.854,23.814,23.797
"2",23.846,23.868,23.742,23.739
"3",23.964,23.59,23.906,23.764
"VKMark 2020-05-21 - Resolution: 1920 x 1080",
Higher Results Are Better
"1",
"2",
"3",
"Waifu2x-NCNN Vulkan 20200818 - Scale: 2x - Denoise: 3 - TAA: No",
Lower Results Are Better
"1",4.16,4.094,4.09
"2",4.12,4.107,4.102
"3",4.107,4.095,4.09
"Waifu2x-NCNN Vulkan 20200818 - Scale: 2x - Denoise: 3 - TAA: Yes",
Lower Results Are Better
"1",26.672,26.675,26.678
"2",26.684,26.675,26.695
"3",26.67,26.672,26.678
"Warsow 2.5 Beta - Resolution: 1920 x 1080",
Higher Results Are Better
"1",155.5,159.4,159.4
"2",159.4,159.6,159.2
"3",159.3,159.6,159.3
"WavPack Audio Encoding 5.3 - WAV To WavPack",
Lower Results Are Better
"1",15.103,15.07,15.062,15.103,15.074
"2",15.114,15.06,15.106,15.058,15.049
"3",16.911,15.061,15.084,15.083,15.075,15.079,15.083,15.143,15.22,15.062,15.084,15.145,15.061,15.054,15.15,15.059,15.056,15.058,15.059,15.056,15.062
"WebP Image Encode 1.1 - Encode Settings: Default",
Lower Results Are Better
"1",1.646,1.645,1.652
"2",1.657,1.664,1.665
"3",1.647,1.676,1.649
"WebP Image Encode 1.1 - Encode Settings: Quality 100",
Lower Results Are Better
"1",2.586,2.585,2.613
"2",2.614,2.591,2.597
"3",2.587,2.597,2.585
"WebP Image Encode 1.1 - Encode Settings: Quality 100, Lossless",
Lower Results Are Better
"1",24.924,24.832,24.927
"2",25.045,25.072,24.755
"3",24.851,24.555,25.294
"WebP Image Encode 1.1 - Encode Settings: Quality 100, Highest Compression",
Lower Results Are Better
"1",8.875,8.871,8.871
"2",8.852,8.889,8.872
"3",8.876,8.887,8.843
"WebP Image Encode 1.1 - Encode Settings: Quality 100, Lossless, Highest Compression",
Lower Results Are Better
"1",58.182,57.366,57.463
"2",57.218,57.252,57.178
"3",57.273,57.511,57.572
"x265 3.4 - Video Input: Bosphorus 4K",
Higher Results Are Better
"1",4.84,4.79,4.81
"2",4.82,4.85,4.82
"3",4.87,4.8,4.81
"x265 3.4 - Video Input: Bosphorus 1080p",
Higher Results Are Better
"1",19.55,19.19,19.72
"2",19.65,19.45,19.69
"3",19.73,19.51,19.9
"yquake2 7.45 - Renderer: OpenGL 3.x - Resolution: 1920 x 1080",
Higher Results Are Better
"1",816.5,806.1,819.7
"2",802,806.1,813.4
"3",804.1,802,817.6
"yquake2 7.45 - Renderer: Software CPU - Resolution: 1920 x 1080",
Higher Results Are Better
"1",93.6,92.8,92.3
"2",93.2,93.3,93.3
"3",93.3,93.3,93.2
"Zstd Compression 1.4.5 - Compression Level: 3",
Higher Results Are Better
"1",2347.7,2393.3,2297.1
"2",2359.1,2329.7,2385.1
"3",2332.6,2331.5,2308.6
"Zstd Compression 1.4.5 - Compression Level: 19",
Higher Results Are Better
"1",14.2,13.3,14.2,14.2,14.2
"2",14.2,14.3,14.2
"3",14.2,14.1,14.3