AMD Ryzen 3 3100 4-Core testing with a ASUS ROG CROSSHAIR VIII HERO (2702 BIOS) and AMD Radeon RX 56/64 8GB 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 2011296-HA-3100COMPA40
3100 compare,
"yquake2 7.45 - Renderer: Software CPU - Resolution: 1920 x 1080",
Higher Results Are Better
"1",110.6,110.2,111.8
"2",108.9,109.9,109.6
"3",110.6,109.8,110.8
"yquake2 7.45 - Renderer: OpenGL 3.x - Resolution: 1920 x 1080",
Higher Results Are Better
"1",981.4,976.8,975.3
"2",978.3,976.8,978.3
"3",973.8,981.4,972.3
"yquake2 7.45 - Renderer: OpenGL 1.x - Resolution: 1920 x 1080",
Higher Results Are Better
"1",755.1,727.3,729.8
"2",764.2,729.8,747
"3",731.5,728.1,731.5
"DDraceNetwork 15.2.3 - Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: Multeasymap",
Higher Results Are Better
"1",333.56100508381,334.36975169554,336.96790222633
"2",334.54890658589,328.85764950747,332.20028254859
"3",332.32081064673,333.61251754005,334.58416423887
"DDraceNetwork 15.2.3 - Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: RaiNyMore2",
Higher Results Are Better
"1",199.23917932462,293.2427693258,238.21132208523,220.33781431278,236.73170799162,229.08123645417,261.33355859215,291.47625160716,258.31932453575,205.87899751913,152.4944495994,264.25532539249,264.07018424203,213.79220885548,213.58132415909
"2",294.64249623609,216.18837388312,205.09356912287,268.82469216791,275.83098741994,234.71656368833,247.22253432635,265.99755577068,150.04618323685,159.18084254283,135.00011455491,200.70241008558,246.80781203033,186.57606046657,124.3827401652
"3",243.25804438981,262.76701455643,194.07905767806,234.09710150757,193.88943097533,99.727234863715,168.34526099875,253.22739532866,194.23332205375,147.60175262412,207.98258764689,242.84000841255
"LZ4 Compression 1.9.3 - Compression Level: 1 - Compression Speed",
Higher Results Are Better
"1",9681.1,9769.1,9839.09
"2",9806.75,10132.05,10066.62
"3",9811.02,9902.65,10163.52
"LZ4 Compression 1.9.3 - Compression Level: 1 - Decompression Speed",
Higher Results Are Better
"1",11060.9,11080.1,11207.9
"2",11161.2,11121.8,11156
"3",11208.7,11179.8,11219.3
"LZ4 Compression 1.9.3 - Compression Level: 3 - Compression Speed",
Higher Results Are Better
"1",52.75,52.7,55.24
"2",52.81,52.7,55.3
"3",52.81,52.86,51.99
"LZ4 Compression 1.9.3 - Compression Level: 3 - Decompression Speed",
Higher Results Are Better
"1",10490.9,10521.3,10477.7
"2",10611.2,10623.3,10671.5
"3",10543.9,10612.2,10607.8
"LZ4 Compression 1.9.3 - Compression Level: 9 - Compression Speed",
Higher Results Are Better
"1",51.21,52.58,53.71
"2",50.66,51.51,51.43
"3",51.47,51.49,51.4
"LZ4 Compression 1.9.3 - Compression Level: 9 - Decompression Speed",
Higher Results Are Better
"1",10561.2,10621.8,10543.9
"2",10703,10703.4,10728.1
"3",10704.5,10634.5,10619.9
"Crafty 25.2 - Elapsed Time",
Higher Results Are Better
"1",7759465,7718515,7736458
"2",7374117,7627397,7718976
"3",7558522,7393657,7231919
"Geekbench 5 - Test: GPU Vulkan",
Higher Results Are Better
"1",35326,36708,36703
"2",37023,36693,36664
"3",37000,37075,36880
"Geekbench 5 - Test: CPU Multi Core",
Higher Results Are Better
"1",5219,5225,5236
"2",5253,5234,5257
"3",5268,5250,5249
"Geekbench 5 - Test: CPU Single Core",
Higher Results Are Better
"1",1222,1223,1224
"2",1225,1229,1229
"3",1226,1228,1229
"Hierarchical INTegration 1.0 - Test: FLOAT",
Higher Results Are Better
"1",340425148.65635,339878458.50657,339711148.45203
"2",339526795.33176,339555311.17348,340008480.38261
"3",339631224.06443,339833601.54101,339464439.78804
"Basis Universal 1.12 - Settings: ETC1S",
Lower Results Are Better
"1",62.948,62.979,62.458
"2",62.83,62.475,62.776
"3",62.473,62.928,62.907
"Basis Universal 1.12 - Settings: UASTC Level 0",
Lower Results Are Better
"1",9.326,9.286,9.278
"2",9.246,9.252,9.304
"3",9.294,9.251,9.256
"Basis Universal 1.12 - Settings: UASTC Level 2",
Lower Results Are Better
"1",58.591,58.603,58.574
"2",58.607,58.59,58.687
"3",58.59,58.679,58.595
"Basis Universal 1.12 - Settings: UASTC Level 3",
Lower Results Are Better
"1",114.243,114.298,114.27
"2",114.198,114.186,114.173
"3",114.242,114.257,114.285
"Basis Universal 1.12 - Settings: UASTC Level 2 + RDO Post-Processing",
Lower Results Are Better
"1",701.318,700.933,706.471
"2",702.898,702.742,699.92
"3",707.65,703.924,700.826
"Darktable 3.2.1 - Test: Boat - Acceleration: CPU-only",
Lower Results Are Better
"1",12.607,12.634,12.619
"2",12.472,12.487,12.471
"3",12.506,12.502,12.518
"Darktable 3.2.1 - Test: Masskrug - Acceleration: CPU-only",
Lower Results Are Better
"1",7.99,8.046,8.021
"2",7.967,7.971,7.952
"3",8.062,8.005,8.011
"Darktable 3.2.1 - Test: Server Rack - Acceleration: CPU-only",
Lower Results Are Better
"1",0.231,0.23,0.23
"2",0.23,0.229,0.229
"3",0.241,0.231,0.229
"Darktable 3.2.1 - Test: Server Room - Acceleration: CPU-only",
Lower Results Are Better
"1",6.323,6.314,6.316
"2",6.282,6.285,6.254
"3",6.293,6.295,6.287
"Tesseract OCR 4.1.1 - Time To OCR 7 Images",
Lower Results Are Better
"1",24.621,24.565,24.516
"2",24.597,24.384,24.533
"3",24.51,24.478,24.538
"BRL-CAD 7.30.8 - VGR Performance Metric",
Higher Results Are Better
"1",
"2",
"3",
"ASTC Encoder 2.0 - Preset: Fast",
Lower Results Are Better
"1",7.38,7.41,7.38
"2",7.39,7.39,7.4
"3",7.38,7.37,7.37
"ASTC Encoder 2.0 - Preset: Medium",
Lower Results Are Better
"1",8.3,8.31,8.3
"2",8.3,8.3,8.3
"3",8.31,8.31,8.29
"ASTC Encoder 2.0 - Preset: Thorough",
Lower Results Are Better
"1",52.4,52.38,52.38
"2",52.42,52.4,52.55
"3",52.38,52.41,52.42
"ASTC Encoder 2.0 - Preset: Exhaustive",
Lower Results Are Better
"1",425.11,425.48,425.09
"2",425.61,425.83,425.29
"3",425.5,425.36,425.3
"Hugin - Panorama Photo Assistant + Stitching Time",
Lower Results Are Better
"1",62.393,61.443,62.161
"2",62.822,61.549,61.544
"3",62.632,63.379,62.107
"RawTherapee - Total Benchmark Time",
Lower Results Are Better
"1",79.921,79.977,79.968
"2",79.407,79.387,79.461
"3",80.314,80.47,80.262
"Betsy GPU Compressor 1.1 Beta - Codec: ETC1 - Quality: Highest",
Lower Results Are Better
"1",8.938,5.56,5.562,5.553,5.571,5.583,5.583,5.594,5.57,5.566,5.567,5.586,5.586,5.574,5.591
"2",5.732,5.533,5.559
"3",5.73,5.523,5.554
"Betsy GPU Compressor 1.1 Beta - Codec: ETC2 RGB - Quality: Highest",
Lower Results Are Better
"1",9.671,6.467,6.477,6.479,6.472,6.482,6.471,6.494,6.48,6.479,6.462,6.469,6.476,6.479,6.462
"2",6.481,6.471,6.475
"3",6.471,6.474,6.465
"OCRMyPDF 10.3.1+dfsg - Processing 60 Page PDF Document",
Lower Results Are Better
"1",32.364,32.169,31.958
"2",32.308,32.092,32.298
"3",32.319,32.215,32.257
"eSpeak-NG Speech Engine 20200907 - Text-To-Speech Synthesis",
Lower Results Are Better
"1",30.611,31.358,30.974,31.019
"2",30.934,30.945,30.923,30.963
"3",30.935,31.022,30.935,30.93
"GLmark2 2020.04 - Resolution: 1920 x 1080",
Higher Results Are Better
"1",
"2",
"3",
"Timed HMMer Search 3.3.1 - Pfam Database Search",
Lower Results Are Better
"1",111.656,111.193,111.212
"2",111.194,111.198,111.518
"3",111.888,111.514,111.08
"LeelaChessZero 0.26 - Backend: BLAS",
Higher Results Are Better
"1",788,776,761
"2",711,759,729,721
"3",600,670,659,646,663,674,629,646,657
"LeelaChessZero 0.26 - Backend: Eigen",
Higher Results Are Better
"1",737,722,732
"2",654,704,702,688,694
"3",600,618,649,628,644,670,644,663,627
"Numpy Benchmark - ",
Higher Results Are Better
"1",320.62,321.99,321.64
"2",321.03,320.54,320.23
"3",322.75,321.49,320.59
"HPC Challenge 1.5.0 - Test / Class: G-HPL",
Higher Results Are Better
"1",
"HPC Challenge 1.5.0 - Test / Class: G-Ffte",
Higher Results Are Better
"1",
"HPC Challenge 1.5.0 - Test / Class: EP-DGEMM",
Higher Results Are Better
"1",
"HPC Challenge 1.5.0 - Test / Class: G-Ptrans",
Higher Results Are Better
"1",0.653664
"HPC Challenge 1.5.0 - Test / Class: EP-STREAM Triad",
Higher Results Are Better
"1",
"HPC Challenge 1.5.0 - Test / Class: G-Random Access",
Higher Results Are Better
"1",0.0200356
"HPC Challenge 1.5.0 - Test / Class: Random Ring Latency",
Lower Results Are Better
"1",0.393997
"HPC Challenge 1.5.0 - Test / Class: Random Ring Bandwidth",
Higher Results Are Better
"1",
"HPC Challenge 1.5.0 - Test / Class: Max Ping Pong Bandwidth",
Higher Results Are Better
"1",
"Dolfyn 0.527 - Computational Fluid Dynamics",
Lower Results Are Better
"1",17.767,17.737,17.763
"2",17.791,17.685,17.637
"3",17.707,17.69,17.642
"RNNoise 2020-06-28 - ",
Lower Results Are Better
"1",19.983,20.052,20.031
"2",20.025,20.021,20
"3",20.015,20.041,20.027
"AI Benchmark Alpha 0.1.2 - Device Inference Score",
Higher Results Are Better
"1",
"2",
"3",
"AI Benchmark Alpha 0.1.2 - Device Training Score",
Higher Results Are Better
"1",
"2",
"3",
"AI Benchmark Alpha 0.1.2 - Device AI Score",
Higher Results Are Better
"1",
"2",
"3",
"Mobile Neural Network 2020-09-17 - Model: SqueezeNetV1.0",
Lower Results Are Better
"1",8.848,8.855,8.856
"2",8.854,8.852,8.838
"3",8.908,8.849,8.866
"Mobile Neural Network 2020-09-17 - Model: resnet-v2-50",
Lower Results Are Better
"1",34.87,35.035,34.888
"2",34.95,34.962,35.072
"3",34.823,35.653,35.025
"Mobile Neural Network 2020-09-17 - Model: MobileNetV2_224",
Lower Results Are Better
"1",4.958,4.902,4.952
"2",4.955,4.956,4.896
"3",4.851,4.938,4.941
"Mobile Neural Network 2020-09-17 - Model: mobilenet-v1-1.0",
Lower Results Are Better
"1",5.824,5.79,5.844
"2",5.834,5.866,5.772
"3",5.796,5.796,5.841
"Mobile Neural Network 2020-09-17 - Model: inception-v3",
Lower Results Are Better
"1",42.607,42.415,42.696
"2",42.51,42.529,42.292
"3",42.207,42.701,42.728
"TensorFlow Lite 2020-08-23 - Model: SqueezeNet",
Lower Results Are Better
"1",386922,387000,387129
"2",386885,387081,386965
"3",387012,386990,387025
"TensorFlow Lite 2020-08-23 - Model: Inception V4",
Lower Results Are Better
"1",5572470,5572520,5573760
"2",5580270,5572850,5571650
"3",5572120,5571710,5571320
"TensorFlow Lite 2020-08-23 - Model: NASNet Mobile",
Lower Results Are Better
"1",279365,280140,283371
"2",279324,279069,279109
"3",279354,278861,279259
"TensorFlow Lite 2020-08-23 - Model: Mobilenet Float",
Lower Results Are Better
"1",259654,259625,259583
"2",259527,259680,259593
"3",259536,259609,259579
"TensorFlow Lite 2020-08-23 - Model: Mobilenet Quant",
Lower Results Are Better
"1",266527,266398,266354
"2",266183,266581,266193
"3",266468,266287,266284
"TensorFlow Lite 2020-08-23 - Model: Inception ResNet V2",
Lower Results Are Better
"1",5048970,5048030,5048940
"2",5046450,5047320,5047030
"3",5044640,5053250,5047410
"TNN 0.2.3 - Target: CPU - Model: MobileNet v2",
Lower Results Are Better
"1",263.82,263.811,263.813
"2",264.432,263.925,264.553
"3",264.153,264.066,264.149
"TNN 0.2.3 - Target: CPU - Model: SqueezeNet v1.1",
Lower Results Are Better
"1",259.824,260.541,260.415
"2",260.757,260.319,260.277
"3",260.46,260.524,260.339
"Caffe 2020-02-13 - Model: AlexNet - Acceleration: CPU - Iterations: 100",
Lower Results Are Better
"1",49102,49055,49089
"2",49063,49041,49037
"3",48909,48998,48979
"Caffe 2020-02-13 - Model: GoogleNet - Acceleration: CPU - Iterations: 100",
Lower Results Are Better
"1",120870,120502,120531
"2",120617,120728,120692
"3",120362,120368,120144
"NCNN 20200916 - Target: CPU - Model: squeezenet",
Lower Results Are Better
"1",21.7,21.98,21.92
"2",21.78,21.61,21.62
"3",21.75,21.67,22.07
"NCNN 20200916 - Target: CPU - Model: mobilenet",
Lower Results Are Better
"1",23.46,24.03,23.97
"2",23.8,23.42,23.91
"3",23.62,23.59,23.92
"NCNN 20200916 - Target: CPU-v2-v2 - Model: mobilenet-v2",
Lower Results Are Better
"1",6.66,6.66,6.67
"2",6.64,6.65,6.63
"3",6.68,6.67,6.7
"NCNN 20200916 - Target: CPU-v3-v3 - Model: mobilenet-v3",
Lower Results Are Better
"1",6.16,6.18,6.21
"2",6.1,6.12,6.11
"3",6.2,6.34,6.22
"NCNN 20200916 - Target: CPU - Model: shufflenet-v2",
Lower Results Are Better
"1",4.82,4.71,4.83
"2",4.82,4.83,4.82
"3",4.85,4.81,4.86
"NCNN 20200916 - Target: CPU - Model: mnasnet",
Lower Results Are Better
"1",6.3,6.34,6.33
"2",6.25,6.29,6.28
"3",6.3,6.29,6.32
"MPV - Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only",
Higher Results Are Better
"1",1295.5787267098,1301.8461710902,1302.9211766095
"2",1308.5679181194,1301.0265594311,1306.2890130857
"3",1316.1454796123,1289.2554361575,1306.6272061025
"NCNN 20200916 - Target: CPU - Model: efficientnet-b0",
Lower Results Are Better
"1",9.16,9.3,9.17
"2",9.1,9.1,9.1
"3",9.17,9.13,9.17
"NCNN 20200916 - Target: CPU - Model: blazeface",
Lower Results Are Better
"1",1.92,2,1.93
"2",1.92,1.91,1.94
"3",1.93,1.92,1.92
"NCNN 20200916 - Target: CPU - Model: googlenet",
Lower Results Are Better
"1",19.43,19.41,19.43
"2",19.31,19.27,19.32
"3",19.52,19.48,19.53
"NCNN 20200916 - Target: CPU - Model: vgg16",
Lower Results Are Better
"1",72.43,72.82,72.45
"2",72.03,71.77,72.51
"3",72.75,72.69,72.71
"NCNN 20200916 - Target: CPU - Model: resnet18",
Lower Results Are Better
"1",17.88,17.74,17.87
"2",17.66,17.76,17.83
"3",18.01,17.98,18.01
"NCNN 20200916 - Target: CPU - Model: alexnet",
Lower Results Are Better
"1",18.9,19,18.95
"2",18.55,18.55,18.62
"3",18.81,18.83,18.78
"NCNN 20200916 - Target: CPU - Model: resnet50",
Lower Results Are Better
"1",37.39,37.28,37.3
"2",37.04,37.17,36.94
"3",37.44,37.24,37.24
"NCNN 20200916 - Target: CPU - Model: yolov4-tiny",
Lower Results Are Better
"1",32.94,33.03,32.91
"2",33,32.7,32.81
"3",33.14,33.12,33.33
"NCNN 20200916 - Target: Vulkan GPU - Model: squeezenet",
Lower Results Are Better
"1",4.86,4.83,4.82
"2",4.85,4.87,4.84
"3",4.84,4.88,4.82
"NCNN 20200916 - Target: Vulkan GPU - Model: mobilenet",
Lower Results Are Better
"1",8.29,8.26,8.3
"2",8.23,8.25,8.27
"3",8.25,8.29,8.26
"MPV - Video Input: Big Buck Bunny Sunflower 4K - Decode: Software Only",
Higher Results Are Better
"1",454.15882766186,455.03226802326,455.54111320366
"2",456.71750584807,457.85657969091,457.96928517558
"3",456.17594074086,457.10685624751,457.45188957245
"NCNN 20200916 - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2",
Lower Results Are Better
"1",2.58,2.56,2.57
"2",2.59,2.57,2.57
"3",2.58,2.59,2.57
"NCNN 20200916 - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3",
Lower Results Are Better
"1",3.58,3.56,3.58
"2",3.57,3.58,3.59
"3",3.58,3.58,3.57
"NCNN 20200916 - Target: Vulkan GPU - Model: shufflenet-v2",
Lower Results Are Better
"1",2.33,2.3,2.33
"2",2.35,2.32,2.32
"3",2.33,2.32,2.31
"NCNN 20200916 - Target: Vulkan GPU - Model: mnasnet",
Lower Results Are Better
"1",2.75,2.82,2.76
"2",2.77,2.76,2.76
"3",2.76,2.76,2.75
"NCNN 20200916 - Target: Vulkan GPU - Model: efficientnet-b0",
Lower Results Are Better
"1",9.55,9.13,9.31
"2",9.28,9.66,9.08
"3",9.28,9.23,9.56
"NCNN 20200916 - Target: Vulkan GPU - Model: blazeface",
Lower Results Are Better
"1",0.97,0.89,0.87
"2",0.91,0.87,0.87
"3",0.87,0.86,0.87
"NCNN 20200916 - Target: Vulkan GPU - Model: googlenet",
Lower Results Are Better
"1",5.66,5.83,5.74
"2",5.71,5.68,5.71
"3",5.66,5.72,5.69
"NCNN 20200916 - Target: Vulkan GPU - Model: vgg16",
Lower Results Are Better
"1",11.09,10.82,10.54
"2",10.61,10.71,10.8
"3",10.57,10.5,10.75
"NCNN 20200916 - Target: Vulkan GPU - Model: resnet18",
Lower Results Are Better
"1",2.16,2.17,2.15
"2",2.16,2.18,2.18
"3",2.17,2.16,2.18
"NCNN 20200916 - Target: Vulkan GPU - Model: alexnet",
Lower Results Are Better
"1",4.08,4.1,4.08
"2",4.09,4.11,4.1
"3",4.08,4.08,4.1
"NCNN 20200916 - Target: Vulkan GPU - Model: resnet50",
Lower Results Are Better
"1",6.09,6.12,6.09
"2",6.1,6.18,6.1
"3",6.09,6.09,6.1
"NCNN 20200916 - Target: Vulkan GPU - Model: yolov4-tiny",
Lower Results Are Better
"1",11.29,11.22,11.28
"2",11.29,11.32,11.26
"3",11.29,11.33,11.29
"Mlpack Benchmark - Benchmark: scikit_ica",
Lower Results Are Better
"1",48.980027675629,49.195138692856,49.199748277664
"2",49.220931768417,49.076552867889,49.049278259277
"3",49.069567680359,49.159047603607,49.19938325882
"Mlpack Benchmark - Benchmark: scikit_qda",
Lower Results Are Better
"1",73.328377962112,74.540046930313,74.46186542511
"2",85.937896251678,75.559597730637,80.070800304413,76.237802505493,72.507644414902,72.754053115845,77.170180082321,78.603085517883,80.605565071106,72.892941236496,77.667419195175,72.943338632584
"3",74.558445930481,77.557319402695,73.747141122818
"Mlpack Benchmark - Benchmark: scikit_svm",
Lower Results Are Better
"1",21.412485837936,21.424963235855,21.438369512558
"2",21.424593448639,21.451976299286,21.444545507431
"3",21.478452444077,21.574544906616,21.493545532227
"Mlpack Benchmark - Benchmark: scikit_linearridgeregression",
Lower Results Are Better
"1",3.1782846450806,3.1928672790527,3.1993598937988
"2",3.2065558433533,3.2084937095642,3.199937582016
"3",3.2124881744385,3.2164957523346,3.2166283130646
"GROMACS 2020.3 - Water Benchmark",
Higher Results Are Better
"1",0.542,0.543,0.542
"2",0.552,0.547,0.551
"3",0.552,0.552,0.551
"LAMMPS Molecular Dynamics Simulator 29Oct2020 - Model: Rhodopsin Protein",
Higher Results Are Better
"1",2.991,3.133,3.32,3.365,3.364,3.358,3.358,3.351,3.044,2.676,3.368,3.354,3.358,3.343,3.352
"2",3.272,3.347,3.369
"3",3.348,3.301,3.372
"NAMD 2.14 - ATPase Simulation - 327,506 Atoms",
Lower Results Are Better
"1",4.49974,4.49172,4.49355
"2",4.48372,4.48166,4.48088
"3",4.48245,4.47963,4.48715
"oneDNN 1.5 - Harness: IP Batch 1D - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"1",7.38529,7.49264,7.42008
"2",8.55897,8.52764,8.17555
"3",10.3628,8.52805,9.01382,8.76866,8.55186,8.56259,8.93485,8.85813,8.74153,8.79774,8.93014,8.36896,8.62578,8.62024,8.49456
"oneDNN 1.5 - Harness: IP Batch All - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"1",96.6259,96.7283,96.8689
"2",99.7274,99.966,99.5204
"3",99.0885,111.344,99.0898,99.2363,98.8462,98.8271,98.9536,103.671,98.4989,98.4339,97.7255,100.646,98.5427,98.5468,98.0745
"oneDNN 1.5 - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"1",20.6259,20.6665,20.6432
"2",19.1852,19.2197,19.1885
"3",19.4069,19.4508,19.3856
"oneDNN 1.5 - Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"1",8.02723,8.06432,8.06509
"2",9.6162,10.0044,9.62188
"3",9.74114,9.77715,10.67,8.90719,9.34905,8.75959,8.99954,9.68292,9.6213,10.7468,9.84425,9.79268,10.6854,10.6944,10.1062
"oneDNN 1.5 - Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"1",12.0753,12.0067,12.0078
"2",12.9041,13.4893,13.1461
"3",12.9043,12.9146,12.8575
"oneDNN 1.5 - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"1",503.023,508.95,499.126
"2",493.041,493.368,486.921
"3",469.601,459.845,458.956
"oneDNN 1.5 - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"1",248.653,250.565,248.894
"2",263.553,267.61,255.94
"3",248.935,245.123,247.41
"oneDNN 1.5 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"1",4.72127,4.73787,4.73257
"2",4.06976,4.00495,4.04259
"3",4.06021,4.07525,4.0667
"FFTE 7.0 - N=256, 3D Complex FFT Routine",
Higher Results Are Better
"1",25371.946146405,25469.484626881,25376.534365556
"2",25782.406298653,25795.670766658,25847.897511842
"3",25863.892956214,25840.682908959,25802.364274919
"Kripke 1.2.4 - ",
Higher Results Are Better
"1",7643935,6208902
"2",
"Monte Carlo Simulations of Ionised Nebulae 2019-03-24 - Input: Dust 2D tau100.0",
Lower Results Are Better
"1",289,287,288
"2",289,287,289
"3",287,290,288
"Sunflow Rendering System 0.07.2 - Global Illumination + Image Synthesis",
Lower Results Are Better
"1",1.965,2.014,1.876,1.936
"2",1.952,1.931,2.011
"3",2.041,1.965,1.983
"Stockfish 12 - Total Time",
Higher Results Are Better
"1",9621765,9453120,10236128,9913772,9962801,9855780
"2",9962157,10071235,10116983
"3",9617303,9962181,10012650
"Timed LLVM Compilation 10.0 - Time To Compile",
Lower Results Are Better
"1",1215.029,1219.082,1212.392
"2",1213.831,1217.566,1213.436
"3",1216.752,1215.548,1215.954
"Zstd Compression 1.4.5 - Compression Level: 3",
Higher Results Are Better
"1",3657.3,3681.5,3724.2
"2",3557.1,3659.3,3679.7
"3",3706.4,3649.5,3707.1
"Zstd Compression 1.4.5 - Compression Level: 19",
Higher Results Are Better
"1",21.1,21.1,21.1
"2",21.2,21.2,21.2
"3",21.2,21.2,21.2
"asmFish 2018-07-23 - 1024 Hash Memory, 26 Depth",
Higher Results Are Better
"1",13804212,13833797,13754678
"2",13697677,13714390,14188770
"3",13518945,13840657,13832067
"Timed Linux Kernel Compilation 5.4 - Time To Compile",
Lower Results Are Better
"1",160.338,158.865,158.701
"2",162.56,160.06,159.054
"3",161.312,159.391,159.743
"Kvazaar 2.0 - Video Input: Bosphorus 4K - Video Preset: Medium",
Higher Results Are Better
"1",2.91,2.9,2.91
"2",2.91,2.92,2.92
"3",2.92,2.92,2.91
"Kvazaar 2.0 - Video Input: Bosphorus 1080p - Video Preset: Medium",
Higher Results Are Better
"1",12.73,12.72,12.71
"2",12.75,12.74,12.76
"3",12.76,12.73,12.78
"Kvazaar 2.0 - Video Input: Bosphorus 4K - Video Preset: Very Fast",
Higher Results Are Better
"1",8.05,8.02,8.03
"2",8.03,8.02,8.04
"3",8.02,8.01,8
"Kvazaar 2.0 - Video Input: Bosphorus 4K - Video Preset: Ultra Fast",
Higher Results Are Better
"1",14.51,14.58,14.56
"2",14.63,14.61,14.65
"3",14.63,14.59,14.58
"Kvazaar 2.0 - Video Input: Bosphorus 1080p - Video Preset: Very Fast",
Higher Results Are Better
"1",32.31,32.45,32.27
"2",32.38,32.35,32.41
"3",32.31,32.38,32.44
"Kvazaar 2.0 - Video Input: Bosphorus 1080p - Video Preset: Ultra Fast",
Higher Results Are Better
"1",57.35,57.43,57.34
"2",57.61,57.58,57.51
"3",57.37,57.36,57.68
"AOM AV1 2.0 - Encoder Mode: Speed 0 Two-Pass",
Higher Results Are Better
"1",0.26,0.26,0.26
"2",0.25,0.25,0.25
"3",0.25,0.26,0.25
"AOM AV1 2.0 - Encoder Mode: Speed 4 Two-Pass",
Higher Results Are Better
"1",2.18,2.18,2.18
"2",2.16,2.17,2.17
"3",2.18,2.18,2.19
"AOM AV1 2.0 - Encoder Mode: Speed 6 Realtime",
Higher Results Are Better
"1",16.95,16.9,16.95
"2",16.59,16.8,16.58
"3",16.94,16.94,16.85
"AOM AV1 2.0 - Encoder Mode: Speed 6 Two-Pass",
Higher Results Are Better
"1",3.44,3.43,3.43
"2",3.42,3.41,3.42
"3",3.43,3.43,3.43
"AOM AV1 2.0 - Encoder Mode: Speed 8 Realtime",
Higher Results Are Better
"1",37.16,36.94,37.17
"2",36.41,35.17,36.96
"3",37.08,37.21,36.92
"x265 3.4 - Video Input: Bosphorus 4K",
Higher Results Are Better
"1",7.69,7.77,7.85
"2",7.7,7.69,7.94
"3",7.73,7.67,7.85
"x265 3.4 - Video Input: Bosphorus 1080p",
Higher Results Are Better
"1",34.81,34.64,34.67
"2",34.72,35.38,35.26
"3",34.54,35.08,34.36
"Blender 2.90 - Blend File: BMW27 - Compute: CPU-Only",
Lower Results Are Better
"1",322.92,324.12,323.33
"2",324.14,325.64,324.62
"3",324.04,324.99,326.47
"rav1e 0.4 Alpha - Speed: 1",
Higher Results Are Better
"1",0.376,0.364,0.375
"2",0.368,0.372,0.354
"3",0.351,0.361,0.372
"rav1e 0.4 Alpha - Speed: 5",
Higher Results Are Better
"1",1.052,1.038,1.061
"2",1.039,1.052,1.05
"3",1.059,1.058,1.058
"rav1e 0.4 Alpha - Speed: 6",
Higher Results Are Better
"1",1.417,1.401,1.395
"2",1.358,1.377,1.375
"3",1.383,1.415,1.38
"rav1e 0.4 Alpha - Speed: 10",
Higher Results Are Better
"1",3.043,3.044,3.035
"2",3.125,3.022,3.057
"3",3.128,3.038,3.094
"libavif avifenc 0.7.3 - Encoder Speed: 0",
Lower Results Are Better
"1",146.703,147.069,145.015
"2",149.264,148.211,150.315
"3",144.943,146.383,145.633
"libavif avifenc 0.7.3 - Encoder Speed: 2",
Lower Results Are Better
"1",86.63,86.01,86.741
"2",88.079,88.326,88.222
"3",86.294,86.186,86.398
"libavif avifenc 0.7.3 - Encoder Speed: 8",
Lower Results Are Better
"1",6.63,6.624,6.638
"2",6.584,6.569,6.572
"3",6.585,6.586,6.582
"libavif avifenc 0.7.3 - Encoder Speed: 10",
Lower Results Are Better
"1",6.071,6.118,6.112
"2",5.999,6.057,6.056
"3",6.085,6.077,6.031
"Embree 3.9.0 - Binary: Pathtracer - Model: Crown",
Higher Results Are Better
"1",5.4291,5.2921,5.3807
"2",5.3485,5.3268,5.3176
"3",5.2155,5.3931,5.34
"Embree 3.9.0 - Binary: Pathtracer ISPC - Model: Crown",
Higher Results Are Better
"1",5.174,5.1737,5.1786
"2",5.1341,5.1771,5.1577
"3",5.1731,5.1835,5.0827
"Embree 3.9.0 - Binary: Pathtracer - Model: Asian Dragon",
Higher Results Are Better
"1",6.1811,6.2185,6.2885
"2",6.1489,6.123,6.1572
"3",6.2389,6.271,6.3301
"Embree 3.9.0 - Binary: Pathtracer ISPC - Model: Asian Dragon",
Higher Results Are Better
"1",6.0754,6.1496,6.1305
"2",6.1483,6.1161,6.1418
"3",6.1444,6.1357,6.1403
"IndigoBench 4.4 - Acceleration: CPU - Scene: Bedroom",
Higher Results Are Better
"1",0.931,0.927,0.931
"2",0.935,0.936,0.934
"3",0.931,0.929,0.933
"IndigoBench 4.4 - Acceleration: CPU - Scene: Supercar",
Higher Results Are Better
"1",1.955,1.962,1.946
"2",1.965,1.959,1.951
"3",1.958,1.96,1.957
"VkFFT 2020-09-29 - ",
Higher Results Are Better
"1",18272,18520,18504
"2",18457,18463,18516
"3",18497,18448,18489
"Waifu2x-NCNN Vulkan 20200818 - Scale: 2x - Denoise: 3 - TAA: Yes",
Lower Results Are Better
"1",7.156,7.157,7.161
"2",7.198,7.177,7.177
"3",7.198,7.173,7.179
"PyPerformance 1.0.0 - Benchmark: go",
Lower Results Are Better
"1",
"2",
"3",249,248,248
"PyPerformance 1.0.0 - Benchmark: 2to3",
Lower Results Are Better
"1",319,320,320
"2",
"3",
"PyPerformance 1.0.0 - Benchmark: chaos",
Lower Results Are Better
"1",
"2",
"3",
"PyPerformance 1.0.0 - Benchmark: float",
Lower Results Are Better
"1",118,117,117
"2",
"3",
"PyPerformance 1.0.0 - Benchmark: nbody",
Lower Results Are Better
"1",
"2",
"3",
"PyPerformance 1.0.0 - Benchmark: pathlib",
Lower Results Are Better
"1",17.7,17.7,17.7
"2",17.7,17.7,17.7
"3",17.8,17.8,17.8
"PyPerformance 1.0.0 - Benchmark: raytrace",
Lower Results Are Better
"1",
"2",
"3",475,476,476
"PyPerformance 1.0.0 - Benchmark: json_loads",
Lower Results Are Better
"1",27.2,27.2,27.3
"2",27.3,27.3,27.3
"3",27.3,27.3,27.4
"PyPerformance 1.0.0 - Benchmark: crypto_pyaes",
Lower Results Are Better
"1",
"2",
"3",
"PyPerformance 1.0.0 - Benchmark: regex_compile",
Lower Results Are Better
"1",
"2",
"3",
"PyPerformance 1.0.0 - Benchmark: python_startup",
Lower Results Are Better
"1",8.01,8.03,8.03
"2",8.06,8.08,8.09
"3",8.11,8.08,8.19
"PyPerformance 1.0.0 - Benchmark: django_template",
Lower Results Are Better
"1",46.8,47.1,46.8
"2",46.7,46.7,46.8
"3",46.9,46.8,46.7
"PyPerformance 1.0.0 - Benchmark: pickle_pure_python",
Lower Results Are Better
"1",
"2",
"3",
"OpenSSL 1.1.1 - RSA 4096-bit Performance",
Higher Results Are Better
"1",1144.9,1145.3,1144.8
"2",1144.8,1143.9,1144.1
"3",1144.6,1144.6,1144.8
"PHPBench 0.8.1 - PHP Benchmark Suite",
Higher Results Are Better
"1",595535,613845,602858
"2",609210,606745,597580
"3",603601,599074,610292
"Redis 6.0.9 - Test: LPOP",
Higher Results Are Better
"1",2604833.25,2733202.25,2487641.75,2632421,2770703.5,2570776.25,2849914.5,2500080,2404076.75,2785515.25,2463527.25,2494244.5,2809887.5,2475247.5,2785961
"2",1560162.38,1499346.38,1366295.12,2358566,2247263,2336598,2364141.75,2532536.75,2369820,2288842,2381409.5,2611133.25
"3",1553093.12,1584989,1540930.75
"Redis 6.0.9 - Test: SADD",
Higher Results Are Better
"1",2119186.5,1930625.5,2036920.62,1842092.12,1852029.5,2079933.5,1894484.88,1869158.75,1912229.5,1901201.5,1897593.88,1972954.5,1901201.5,2045578.75,2024615.38
"2",2074888,2036920.62,1808318.38,2079135.12,1988644,1968503.88,1858736.12,1945587.5,2118983,1890419.75,1845018.5,1988262.38,1880180.38,1916137.88,1815172.38
"3",1984127,2040816.25,1988071.5
"Redis 6.0.9 - Test: LPUSH",
Higher Results Are Better
"1",1464222.5,1434720.12,1414472.38
"2",1390820.62,1432848.12,1416430.62
"3",1533938.62,1420863.62,1449785.5,1517596.38,1416612,1449553.62,1536098.25,1424911.62,1412655.38,1373626.38,1479290,1457912.5,1488666.62,1393025.12,1536442.38
"Redis 6.0.9 - Test: GET",
Higher Results Are Better
"1",2314814.75,2544529.25,2463133,2551918.5,2398695.5,2506426.25,2252540.5,2184384.25,2217295,2232357,2105667.5,2404461.5,2164502,2100907.5,2217436.75
"2",2336673,1996008,2105263.25,2184104.75,2183685.5,2062053.5,2155310.5,1996327.38,2079068.62,2062053.5,2084066.75,2164710,2096570.25,1905371.5,2024356.38
"3",2169336.25,2057876.5,2217295,2079667.38,2044989.75,2020589.88,2212389.5,2141464.75,2075153.5,2092652.75,2150675.25,2294091.75,2105330.5,2262588.25,2114232.5
"Redis 6.0.9 - Test: SET",
Higher Results Are Better
"1",1692372.25,1757862.88,1727392.12
"2",1812174,1736722.25,1715759.88
"3",1779416.5,1579879.88,1742160.25,1607922.88,1634196.12,1792114.62,1634405.25,1607768.5,1644736.88,1645368.5,1718213,1706593.75,1760845,1799309.38,1776539.88
"PyBench 2018-02-16 - Total For Average Test Times",
Lower Results Are Better
"1",1016,1020,1024
"2",
"3",1020,1018,1024
"DDraceNetwork 15.2.3 - Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: Multeasymap - Total Frame Time",
Lower Results Are Better
"1",
"2",
"3",