Intel Core i7-5775C testing with a MSI Z97-G45 GAMING (MS-7821) v1.0 (V2.9 BIOS) and MSI Intel Iris Pro 6200 3GB on Ubuntu 18.10 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 2012292-HA-COREI757721
Core i7 5775C EOY 2020,
"LZ4 Compression 1.9.3 - Compression Level: 1 - Compression Speed",
Higher Results Are Better
"1",4816.16,4773.16,4773.08
"2",4826.63,4821.85,4768.3
"3",4803.13,4785.25,4789.44
"LZ4 Compression 1.9.3 - Compression Level: 1 - Decompression Speed",
Higher Results Are Better
"1",5556,5450.9,5460.8
"2",5498.8,5522,5471.6
"3",5535.8,5541.7,5481.2
"LZ4 Compression 1.9.3 - Compression Level: 3 - Compression Speed",
Higher Results Are Better
"1",43.25,43.29,43.31
"2",43.51,43.52,43.51
"3",43.52,43.31,43.32
"yquake2 7.45 - Renderer: Software CPU - Resolution: 1920 x 1080",
Higher Results Are Better
"1",114.3,114.6,114.1
"2",115.1,112.8,114.4
"3",115,114.8,114.2
"yquake2 7.45 - Renderer: OpenGL 3.x - Resolution: 1920 x 1080",
Higher Results Are Better
"1",548.6,553.9,558.8
"2",555.4,539.2,546.7
"3",547.7,536.5,543.4
"yquake2 7.45 - Renderer: OpenGL 1.x - Resolution: 1920 x 1080",
Higher Results Are Better
"1",528,528.9,491.4,524.9
"2",519.3,524.5,474.1,483.2,524.9,530.2,515.9,528,508.4,470.9,489.2,521,522.7,521.5,521
"3",525.4,522.3,535.1
"LZ4 Compression 1.9.3 - Compression Level: 3 - Decompression Speed",
Higher Results Are Better
"1",5416.4,5409.1,5400.6
"2",5449.7,5441.8,5459
"3",5460.4,5478.1,5494.8
"LZ4 Compression 1.9.3 - Compression Level: 9 - Compression Speed",
Higher Results Are Better
"1",42.72,42.49,42.65
"2",42.64,42.71,42.7
"3",42.47,42.47,41.21
"LZ4 Compression 1.9.3 - Compression Level: 9 - Decompression Speed",
Higher Results Are Better
"1",5448.7,5443.3,5463.4
"2",5482.6,5444.7,5448.9
"3",5465.5,5473.7,5484.2
"Crafty 25.2 - Elapsed Time",
Higher Results Are Better
"1",6780714,6812037,6882082
"2",6865743,6886933,6829242
"3",6888489,6877103,6890929
"CLOMP 1.2 - Static OMP Speedup",
Higher Results Are Better
"1",3.1,3.3,3.1,3,2.9,3,3.2,3.1,3,3,3.1,3
"2",3.1,3,3.1
"3",3.3,3,3.1,3,3.1,3.3,3.1,2.9,3.1,3.1,3.1,3.3,3.1,3,3
"Hierarchical INTegration 1.0 - Test: FLOAT",
Higher Results Are Better
"1",379271479.41234,381750500.87691,382508618.7559
"2",382429649.29444,379721923.66632,381324209.2984
"3",382370243.40297,382635930.70841,382593929.33521
"Basis Universal 1.12 - Settings: ETC1S",
Lower Results Are Better
"1",79.267,78.365,80.149
"2",78.255,78.296,78.465
"3",78.984,78.635,78.652
"Basis Universal 1.12 - Settings: UASTC Level 0",
Lower Results Are Better
"1",11.994,12.005,12.006
"2",11.981,11.988,11.997
"3",11.992,12.004,11.998
"Basis Universal 1.12 - Settings: UASTC Level 2",
Lower Results Are Better
"1",81.259,81.247,81.227
"2",81.206,81.232,81.239
"3",81.237,81.258,81.265
"Basis Universal 1.12 - Settings: UASTC Level 3",
Lower Results Are Better
"1",159.052,158.948,158.995
"2",159.014,159.017,158.953
"3",158.971,158.97,158.999
"Basis Universal 1.12 - Settings: UASTC Level 2 + RDO Post-Processing",
Lower Results Are Better
"1",1002.024,1001.211,1001.951
"2",1001.05,1001.836,1001.673
"3",1001.506,1001.407,1002.268
"BRL-CAD 7.30.8 - VGR Performance Metric",
Higher Results Are Better
"1",
"2",
"3",
"Monkey Audio Encoding 3.99.6 - WAV To APE",
Lower Results Are Better
"1",14.923,14.377,14.514,14.359,14.343
"2",14.695,14.421,14.372,14.523,14.369
"3",14.637,14.367,14.527,14.356,14.35
"Opus Codec Encoding 1.3.1 - WAV To Opus Encode",
Lower Results Are Better
"1",9.485,9.402,9.385,9.387,9.403
"2",9.472,9.431,9.414,9.404,9.389
"3",9.458,9.402,9.406,9.401,9.412
"WavPack Audio Encoding 5.3 - WAV To WavPack",
Lower Results Are Better
"1",16.299,16.305,16.344,16.3,16.292
"2",16.283,16.296,16.302,16.306,16.303
"3",16.29,16.306,16.32,16.305,16.293
"ASTC Encoder 2.0 - Preset: Fast",
Lower Results Are Better
"1",8.42,8.41,8.42
"2",8.44,8.44,8.42
"3",8.45,8.43,8.41
"ASTC Encoder 2.0 - Preset: Medium",
Lower Results Are Better
"1",10.93,10.92,10.93
"2",10.92,10.93,10.93
"3",10.93,10.93,10.93
"ASTC Encoder 2.0 - Preset: Thorough",
Lower Results Are Better
"1",72.63,72.64,72.62
"2",72.63,72.58,72.6
"3",72.59,72.61,72.65
"ASTC Encoder 2.0 - Preset: Exhaustive",
Lower Results Are Better
"1",588.77,588.81,588.79
"2",588.88,588.77,588.76
"3",588.72,588.47,588.72
"Betsy GPU Compressor 1.1 Beta - Codec: ETC1 - Quality: Highest",
Lower Results Are Better
"1",20.998,11.979,15.993,15.997,16.007,16.001,15.988,12.01,15.993,15.992,15.998,16.001,13.991,14.011,13.989
"2",15.826,13.964,14.003,13.988,15.997,11.996,16.001,16.011,11.988,16.006,15.995,15.999,16.008,11.989
"3",15.885,15.98,16.003
"Betsy GPU Compressor 1.1 Beta - Codec: ETC2 RGB - Quality: Highest",
Lower Results Are Better
"1",21.663,16,13.982,15.991,16.006,16.002,16,15.991,16.003,15.994,16.003,14.01,16.003
"2",15.739,15.988,12.001,16.01,13.978,16.001,16.006,15.984,16.004,14.019,16.002,15.994,16.003,16,13.98
"3",13.726,16.013,15.993,16.003,16.004,15.988,15.999,16,15.997,14.025,15.985,16.016,15.995,16.002,15.991
"Ogg Audio Encoding 1.3.4 - WAV To Ogg",
Lower Results Are Better
"1",24.128,24.065,24.048
"2",24.121,24.086,24.029
"3",24.24,24.026,24.04
"eSpeak-NG Speech Engine 20200907 - Text-To-Speech Synthesis",
Lower Results Are Better
"1",36.258,43.121,42.459,40.27,40.308,40.331,40.504,40.3,40.332,40.512,40.313,40.462,40.295,40.287,41.478,40.429
"2",42.126,40.3,40.322,41.744
"3",43.742,40.449,40.339,40.311,40.301,40.492
"Timed HMMer Search 3.3.1 - Pfam Database Search",
Lower Results Are Better
"1",113.974,114.04,113.989
"2",114.083,114.149,113.974
"3",114.095,114.098,114.085
"Timed MAFFT Alignment 7.471 - Multiple Sequence Alignment - LSU RNA",
Lower Results Are Better
"1",12.509,12.563,12.499
"2",12.455,12.742,12.632
"3",12.618,12.576,12.436
"Numpy Benchmark - ",
Higher Results Are Better
"1",281.11,278.5,277.65
"2",276.01,274.14,274.95
"3",276.62,278.22,277.31
"HPC Challenge 1.5.0 - Test / Class: G-HPL",
Higher Results Are Better
"1",80.3327,82.6699,85.2831
"2",82.2921,80.9141,81.5501
"3",81.8189,80.9752,79.6926
"HPC Challenge 1.5.0 - Test / Class: G-Ffte",
Higher Results Are Better
"1",2.8016,2.79562,2.80128
"2",2.79516,2.78128,2.79376
"3",2.78907,2.77928,2.78598
"HPC Challenge 1.5.0 - Test / Class: EP-DGEMM",
Higher Results Are Better
"1",36.405,35.8604,35.7861
"2",35.9002,35.995,35.7099
"3",37.0905,35.8598,35.9249
"HPC Challenge 1.5.0 - Test / Class: G-Ptrans",
Higher Results Are Better
"1",1.25822,1.22005,1.23349
"2",1.23519,1.23947,1.24441
"3",1.2435,1.23387,1.22569
"HPC Challenge 1.5.0 - Test / Class: EP-STREAM Triad",
Higher Results Are Better
"1",4.07832,4.08275,4.08326
"2",4.0778,4.07179,4.07182
"3",4.0736,4.0748,4.07292
"HPC Challenge 1.5.0 - Test / Class: G-Random Access",
Higher Results Are Better
"1",0.0327267,0.0329904,0.0330738
"2",0.03355,0.032963,0.0330466
"3",0.0332201,0.0326954,0.0334377
"HPC Challenge 1.5.0 - Test / Class: Random Ring Latency",
Lower Results Are Better
"1",0.211302,0.210795,0.211165
"2",0.211156,0.210473,0.211127
"3",0.211669,0.2128,0.210941
"HPC Challenge 1.5.0 - Test / Class: Random Ring Bandwidth",
Higher Results Are Better
"1",5.81797,5.36304,5.20955
"2",5.83601,5.83778,5.77082
"3",5.15608,5.73795,5.18724
"HPC Challenge 1.5.0 - Test / Class: Max Ping Pong Bandwidth",
Higher Results Are Better
"1",17279.588,17202.229,17351.396
"2",17426.46,17380.649,16586.43
"3",17018.235,17250.6,17379.365
"Dolfyn 0.527 - Computational Fluid Dynamics",
Lower Results Are Better
"1",23.14,23.188,23.117
"2",23.27,23.319,23.091
"3",23.044,23.009,23.007
"RNNoise 2020-06-28 - ",
Lower Results Are Better
"1",25.223,25.888,25.899
"2",25.21,25.857,25.904
"3",25.267,25.857,25.852
"Caffe 2020-02-13 - Model: AlexNet - Acceleration: CPU - Iterations: 100",
Lower Results Are Better
"1",67597,66919,66589
"2",67206,66917,66508
"3",66110,65590,66100
"Caffe 2020-02-13 - Model: GoogleNet - Acceleration: CPU - Iterations: 100",
Lower Results Are Better
"1",138155,137682,138741
"2",138763,138591,138653
"3",138664,137659,138425
"NCNN 20201218 - Target: CPU - Model: mobilenet",
Lower Results Are Better
"1",26.28,26.4,26.67
"2",26.41,27.27,26.36
"3",26.34,26.79,26.9
"NCNN 20201218 - Target: CPU-v2-v2 - Model: mobilenet-v2",
Lower Results Are Better
"1",6.98,7.28,6.98
"2",7.03,7.1,7.07
"3",6.85,7.23,6.82
"NCNN 20201218 - Target: CPU-v3-v3 - Model: mobilenet-v3",
Lower Results Are Better
"1",5.95,6.03,5.99
"2",5.99,5.98,6.02
"3",5.95,6.04,5.95
"NCNN 20201218 - Target: CPU - Model: shufflenet-v2",
Lower Results Are Better
"1",11.4,11.42,11.34
"2",11.3,11.26,11.3
"3",11.29,11.33,11.32
"NCNN 20201218 - Target: CPU - Model: mnasnet",
Lower Results Are Better
"1",6.83,6.64,6.58
"2",6.57,6.65,6.58
"3",6.54,6.68,6.64
"NCNN 20201218 - Target: CPU - Model: efficientnet-b0",
Lower Results Are Better
"1",10.16,10.24,10.21
"2",10.22,10.14,10.24
"3",9.92,10.17,10.29
"NCNN 20201218 - Target: CPU - Model: blazeface",
Lower Results Are Better
"1",3.05,3.15,3.07
"2",3.16,3.04,3.06
"3",3.05,3.07,3.06
"NCNN 20201218 - Target: CPU - Model: googlenet",
Lower Results Are Better
"1",19.57,19.63,19.59
"2",19.57,19.22,19.68
"3",19.3,19.56,19.55
"NCNN 20201218 - Target: CPU - Model: vgg16",
Lower Results Are Better
"1",81.23,81.24,81.31
"2",81.49,81.22,81.48
"3",81.57,81.3,81.11
"NCNN 20201218 - Target: CPU - Model: resnet18",
Lower Results Are Better
"1",23.73,23.9,23.84
"2",23.91,23.88,23.66
"3",23.81,23.73,23.61
"NCNN 20201218 - Target: CPU - Model: alexnet",
Lower Results Are Better
"1",21.81,22.11,21.95
"2",22.03,21.98,22.03
"3",22.08,22.03,22.02
"NCNN 20201218 - Target: CPU - Model: resnet50",
Lower Results Are Better
"1",47.1,46.99,46.88
"2",46.86,47.32,46.75
"3",47.05,46.78,47.49
"NCNN 20201218 - Target: CPU - Model: yolov4-tiny",
Lower Results Are Better
"1",37.43,37.69,37.8
"2",37.53,38,37.43
"3",37.87,37.98,37.84
"NCNN 20201218 - Target: CPU - Model: squeezenet_ssd",
Lower Results Are Better
"1",31.2,31.21,30.81
"2",31.08,31.12,31.24
"3",30.94,31.1,30.77
"NCNN 20201218 - Target: CPU - Model: regnety_400m",
Lower Results Are Better
"1",17.29,17.36,17.24
"2",17.8,17.09,17.24
"3",17.17,17.32,17.31
"Mlpack Benchmark - Benchmark: scikit_ica",
Lower Results Are Better
"1",60.616022586823,61.10040140152,63.072276353836
"2",59.903902053833,60.868252515793,60.474449872971
"3",59.956555604935,59.692148685455,59.854399204254
"Mlpack Benchmark - Benchmark: scikit_qda",
Lower Results Are Better
"1",98.795365810394,100.24407029152,97.95539689064
"2",96.522594213486,100.53390073776,98.684320211411
"3",95.564470767975,95.55001115799,95.622646570206
"Mlpack Benchmark - Benchmark: scikit_svm",
Lower Results Are Better
"1",13.35249710083,13.345665693283,13.359534502029
"2",13.352733373642,13.337467908859,13.34364771843
"3",13.371987342834,13.350850343704,13.346608638763
"Mlpack Benchmark - Benchmark: scikit_linearridgeregression",
Lower Results Are Better
"1",5.2104787826538,5.2456533908844,5.2819640636444
"2",5.2767241001129,5.2827668190002,5.6095628738403,5.374566078186
"3",5.3860650062561,5.2784886360168,5.1645090579987
"GROMACS 2020.3 - Water Benchmark",
Higher Results Are Better
"1",0.486,0.48,0.48
"2",0.488,0.481,0.482
"3",0.487,0.483,0.483
"LAMMPS Molecular Dynamics Simulator 29Oct2020 - Model: Rhodopsin Protein",
Higher Results Are Better
"1",2.87,2.889,2.876
"2",2.848,2.862,2.837
"3",2.855,2.855,2.886
"oneDNN 2.0 - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"1",9.12575,8.86347,9.02882
"2",8.54185,8.57453,8.66436
"3",8.50555,8.48407,8.49702
"oneDNN 2.0 - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"1",12.9929,13.1165,13.3204
"2",14.0861,13.9289,13.8374
"3",14.1001,14.1361,14.0862
"oneDNN 2.0 - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"1",5.76011,5.78227,5.78495
"2",5.61193,5.61522,5.61601
"3",5.61108,5.61923,5.63666
"oneDNN 2.0 - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"1",3.11572,3.10801,3.15888
"2",3.20272,3.31607,3.2194
"3",2.71137,2.67674,2.6469
"oneDNN 2.0 - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"1",20.2571,21.1256,20.9898
"2",20.7268,20.9159,20.7597
"3",21.1709,21.0939,21.2121
"oneDNN 2.0 - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"1",12.3195,12.6826,12.4509
"2",11.7015,11.7852,11.6923
"3",11.6521,11.7537,11.66
"oneDNN 2.0 - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"1",17.7646,17.8027,18.4108
"2",16.947,17.0799,16.8487
"3",16.1313,16.0968,16.0441
"oneDNN 2.0 - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"1",21.2557,21.3767,21.2279
"2",20.5616,20.6692,20.5847
"3",21.9071,21.944,21.8742
"oneDNN 2.0 - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"1",12.8918,12.8546,13.2928
"2",12.7955,12.7806,12.8431
"3",12.8272,12.8826,12.9594
"oneDNN 2.0 - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"1",11.2185,11.2309,11.2364
"2",11.1943,11.1933,11.1977
"3",11.1844,11.2632,11.1932
"oneDNN 2.0 - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"1",7407.66,7399.35,7407.5
"2",7403.49,7398.33,7389.01
"3",7408.96,7397.77,7388.4
"oneDNN 2.0 - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"1",3893.55,3894.06,3852.31
"2",3897.37,3900.06,3888.82
"3",3855.16,3894.48,3879.45
"oneDNN 2.0 - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"1",7392.25,7401.44,7407.83
"2",7398.23,7387.52,7398.02
"3",7395.7,7414.03,7389.05
"oneDNN 2.0 - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"1",3920.71,3892.88,3881.34
"2",3889.57,3878.74,3885.3
"3",3867.34,3859.78,3881.42
"oneDNN 2.0 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"1",3.43852,3.5487,3.5397
"2",4.29243,4.26272,4.26477
"3",3.58021,3.77089,3.77924
"oneDNN 2.0 - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"1",7410.02,7399.7,7389.6
"2",7390.08,7395.98,7403.84
"3",7409.86,7420.36,7427.38
"oneDNN 2.0 - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"1",3905.51,3912.99,3875.44
"2",3881.15,3882.91,3884.55
"3",3870.21,3861.31,3889.27
"oneDNN 2.0 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"1",6.71585,6.67053,6.71445
"2",6.3313,6.33991,6.34125
"3",6.33542,6.33955,6.29283
"FFTE 7.0 - N=256, 3D Complex FFT Routine",
Higher Results Are Better
"1",19898.014807775,19782.19995868,19731.053606192
"2",19891.763909328,19939.505459861,20011.416630401
"3",19611.1351475,19662.68797329,19809.047860044
"Sunflow Rendering System 0.07.2 - Global Illumination + Image Synthesis",
Lower Results Are Better
"1",2.517,2.508,2.49
"2",2.453,2.522,2.487
"3",2.458,2.449,2.427
"Coremark 1.0 - CoreMark Size 666 - Iterations Per Second",
Higher Results Are Better
"1",140523.449851,140677.89159,141430.213029
"2",140832.67318,140721.19613,141774.843826
"3",141112.140054,141561.601416,141887.997162
"Timed FFmpeg Compilation 4.2.2 - Time To Compile",
Lower Results Are Better
"1",120.883,121.14,121.059
"2",121.265,122.578,122.753
"3",121.279,120.893,121.452
"Stockfish 12 - Total Time",
Higher Results Are Better
"1",7507132,7357974,7393359
"2",7502255,7324031,7507269
"3",7442648,7245595,7490366
"asmFish 2018-07-23 - 1024 Hash Memory, 26 Depth",
Higher Results Are Better
"1",11269956,11133408,11029781
"2",11234197,11084789,11368559
"3",11474289,11227338,11206887
"Kvazaar 2.0 - Video Input: Bosphorus 4K - Video Preset: Slow",
Higher Results Are Better
"1",2.01,2.01,2.01
"2",2.01,2.01,2.01
"3",2.01,2.01,2.01
"Kvazaar 2.0 - Video Input: Bosphorus 4K - Video Preset: Medium",
Higher Results Are Better
"1",2.06,2.06,2.06
"2",2.06,2.06,2.06
"3",2.06,2.06,2.07
"Kvazaar 2.0 - Video Input: Bosphorus 1080p - Video Preset: Slow",
Higher Results Are Better
"1",8.73,8.74,8.77
"2",8.77,8.77,8.77
"3",8.77,8.8,8.79
"Kvazaar 2.0 - Video Input: Bosphorus 1080p - Video Preset: Medium",
Higher Results Are Better
"1",9.03,9.03,9.01
"2",9.04,9.03,9.04
"3",9.05,9.05,9.05
"Kvazaar 2.0 - Video Input: Bosphorus 4K - Video Preset: Very Fast",
Higher Results Are Better
"1",5.62,5.63,5.62
"2",5.63,5.63,5.61
"3",5.64,5.65,5.64
"Kvazaar 2.0 - Video Input: Bosphorus 4K - Video Preset: Ultra Fast",
Higher Results Are Better
"1",10.19,10.19,10.15
"2",10.16,10.15,10.18
"3",10.19,10.2,10.17
"Kvazaar 2.0 - Video Input: Bosphorus 1080p - Video Preset: Very Fast",
Higher Results Are Better
"1",22.71,22.66,22.67
"2",22.68,22.74,22.75
"3",22.8,22.72,22.77
"Kvazaar 2.0 - Video Input: Bosphorus 1080p - Video Preset: Ultra Fast",
Higher Results Are Better
"1",40.39,40.41,40.38
"2",40.44,40.49,40.42
"3",40.5,40.5,40.46
"x265 3.4 - Video Input: Bosphorus 4K",
Higher Results Are Better
"1",6.13,6.1,6.11
"2",6.14,6.19,6.09
"3",6.04,6.12,6.1
"x265 3.4 - Video Input: Bosphorus 1080p",
Higher Results Are Better
"1",28.22,27.91,28.04
"2",27.84,27.67,28.19
"3",27.9,27.95,27.98
"rav1e 0.4 Alpha - Speed: 1",
Higher Results Are Better
"1",0.288,0.289,0.288
"2",0.29,0.289,0.289
"3",0.288,0.288,0.289
"rav1e 0.4 Alpha - Speed: 5",
Higher Results Are Better
"1",0.874,0.879,0.88
"2",0.882,0.88,0.885
"3",0.88,0.88,0.885
"rav1e 0.4 Alpha - Speed: 6",
Higher Results Are Better
"1",1.191,1.181,1.177
"2",1.178,1.19,1.186
"3",1.187,1.186,1.183
"rav1e 0.4 Alpha - Speed: 10",
Higher Results Are Better
"1",2.632,2.635,2.64
"2",2.647,2.636,2.667
"3",2.666,2.654,2.638
"Embree 3.9.0 - Binary: Pathtracer - Model: Crown",
Higher Results Are Better
"1",4.7245,4.7221,4.6912
"2",4.753,4.7012,4.7286
"3",4.7228,4.7252,4.7261
"Embree 3.9.0 - Binary: Pathtracer ISPC - Model: Crown",
Higher Results Are Better
"1",5.4612,5.4469,5.4466
"2",5.389,5.4206,5.3869
"3",5.408,5.2135,5.4294
"Embree 3.9.0 - Binary: Pathtracer - Model: Asian Dragon",
Higher Results Are Better
"1",5.6313,5.6482,5.7177
"2",5.6337,5.6644,5.7277
"3",5.6403,5.6547,5.7135
"Embree 3.9.0 - Binary: Pathtracer ISPC - Model: Asian Dragon",
Higher Results Are Better
"1",6.7691,6.8536,6.7823
"2",6.8826,6.8878,6.8088
"3",6.8422,6.7908,6.7664
"IndigoBench 4.4 - Acceleration: CPU - Scene: Bedroom",
Higher Results Are Better
"1",0.723,0.718,0.721
"2",0.723,0.722,0.724
"3",0.72,0.726,0.722
"IndigoBench 4.4 - Acceleration: CPU - Scene: Supercar",
Higher Results Are Better
"1",1.661,1.644,1.656
"2",1.662,1.66,1.643
"3",1.655,1.663,1.657
"Build2 0.13 - Time To Compile",
Lower Results Are Better
"1",239.725,250.3,237.638
"2",240.472,240.994,241.161
"3",238.137,237.698,238.358
"Timed Eigen Compilation 3.3.9 - Time To Compile",
Lower Results Are Better
"1",82.188,82.379,82.352
"2",82.683,82.437,82.325
"3",82.356,82.341,82.304
"PHPBench 0.8.1 - PHP Benchmark Suite",
Higher Results Are Better
"1",574694,573747,575489
"2",577607,573707,574325
"3",577169,572000,575229
"KeyDB 6.0.16 - ",
Higher Results Are Better
"1",410600.92,414271.26,409227.52
"2",412626.26,409146.42,411908.81
"3",408880.67,408736.83,408926.17
"Redis 6.0.9 - Test: LPOP",
Higher Results Are Better
"1",2427572.75,2433323.5,2183685.5,2380952.5,2332195.75,2421307.5,2398311.75,2369971.5
"2",1461988.25,1455697.25,1398691
"3",1479716,1462035,1364343.88,2331300.75,2365049.5,2347868.5,2222435.5,2342145.25,2283251.25,2049704.88,1695132.25,2353543.5
"Redis 6.0.9 - Test: SADD",
Higher Results Are Better
"1",1457726,1451657.5,1919631.38,1894060.62,1894363.62,1455604.12,1838647,1919447.12,1482050.38,1873378.38,1464269.38,1515296.88,1887034.12,1451378.75,1422520.62
"2",1901323.12,1872839,1459994.12,1883419.88,1923200.12,1887517.12,1887094.5,1457772.62,1920122.75,1905005.75,1887336,1675041.88,1468804.75,1449692.75,1841738.5
"3",1831560.38,1451564.62,1919385.75,1920122.75,1901323.12,1842033.25,1418893.62,1455697.25,1869457.88,1842033.25,1494768.25,1600358.38,1426807.5,1430706.75,1912045.88
"Redis 6.0.9 - Test: LPUSH",
Higher Results Are Better
"1",1422839.25,1462175.38,1379884.12
"2",1443417,1426624.88,1464128.75
"3",1455790.5,1462081.88,1466557.25
"Redis 6.0.9 - Test: GET",
Higher Results Are Better
"1",2232428.5,2278123,2136889
"2",1972891.38,1540832.12,2141327.5,1815288.62,1926967.25,1845136.5,2032585.25,2100840.25,1883902,2105330.5,1930501.88,2132537.25,2053453.88,2096771.5,1508874.88
"3",2083866.75,1992159.5,2049442.62
"Redis 6.0.9 - Test: SET",
Higher Results Are Better
"1",1697847.25,1683501.75,1600153.62
"2",1666719.88,1655682.25,1692426.38
"3",1642141.12,1655629.25,1706593.75
"Unpacking Firefox 84.0 - Extracting: firefox-84.0.source.tar.xz",
Lower Results Are Better
"1",21.251,20.362,20.741,20.536
"2",21.261,20.6,20.965,21.264
"3",22.051,20.791,21.319,23.11,20.726,20.738,20.714,21.447,21.297,20.993,21.152
"SQLite Speedtest 3.30 - Timed Time - Size 1,000",
Lower Results Are Better
"1",72.509,72.08,72.234
"2",72.596,72.742,72.546
"3",72.799,72.643,72.157
"BYTE Unix Benchmark 3.6 - Computational Test: Dhrystone 2",
Higher Results Are Better
"1",36965473.6,37629660.8,36814964
"2",36402067.7,37237949.8,37439998.8
"3",37194189.5,36362553.6,37603968.3