Xeon E5 1680 v3 Xmas

Intel Xeon E5-1680 v3 testing with a ASUS X99-A (3902 BIOS) and eVGA NVIDIA NVE7 1GB on Ubuntu 20.04 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 2012271-HA-XEONE516824
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Audio Encoding 4 Tests
Bioinformatics 2 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 2 Tests
Chess Test Suite 4 Tests
Timed Code Compilation 3 Tests
C/C++ Compiler Tests 13 Tests
CPU Massive 19 Tests
Creator Workloads 17 Tests
Database Test Suite 4 Tests
Encoding 7 Tests
Fortran Tests 3 Tests
Game Development 2 Tests
HPC - High Performance Computing 15 Tests
Machine Learning 9 Tests
Molecular Dynamics 3 Tests
MPI Benchmarks 2 Tests
Multi-Core 16 Tests
NVIDIA GPU Compute 5 Tests
Intel oneAPI 3 Tests
OpenMPI Tests 2 Tests
Programmer / Developer System Benchmarks 5 Tests
Python 2 Tests
Scientific Computing 6 Tests
Server 6 Tests
Server CPU Tests 7 Tests
Single-Threaded 7 Tests
Speech 2 Tests
Telephony 2 Tests
Texture Compression 2 Tests
Video Encoding 3 Tests
Common Workstation Benchmarks 2 Tests

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December 26 2020
  9 Hours, 34 Minutes
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December 26 2020
  9 Hours, 50 Minutes
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December 27 2020
  9 Hours, 58 Minutes
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Xeon E5 1680 v3 Xmas, "LZ4 Compression 1.9.3 - Compression Level: 1 - Compression Speed", Higher Results Are Better "1",6097.58,6100.66,6096.7 "2",6153.52,6171.53,6166.53 "3",6168.53,6142.4,6147.22 "LZ4 Compression 1.9.3 - Compression Level: 1 - Decompression Speed", Higher Results Are Better "1",7500.3,7512.5,7484.2 "2",7499.6,7472.8,7509.6 "3",7522.4,7487.2,7500.9 "yquake2 7.45 - Renderer: Software CPU - Resolution: 1920 x 1080", Higher Results Are Better "1",76.8,76,72.3,77.7,74 "2",73.5,73.1,74.3 "3",74.3,75.2,74.8 "LZ4 Compression 1.9.3 - Compression Level: 3 - Compression Speed", Higher Results Are Better "1",42.98,42.94,42.99 "2",42.98,43,42.99 "3",43.01,43.04,43.06 "LZ4 Compression 1.9.3 - Compression Level: 3 - Decompression Speed", Higher Results Are Better "1",7276.5,7260.8,7264.7 "2",7264.1,7244,7262.7 "3",7260.8,7267.2,7275.7 "LZ4 Compression 1.9.3 - Compression Level: 9 - Compression Speed", Higher Results Are Better "1",42.08,42.06,42.05 "2",42.13,42.08,42.13 "3",42.16,42.16,40.48 "LZ4 Compression 1.9.3 - Compression Level: 9 - Decompression Speed", Higher Results Are Better "1",7292.4,7286.2,7272.2 "2",7263.5,7251.3,7263.4 "3",7253.5,7278.7,7303.8 "Crafty 25.2 - Elapsed Time", Higher Results Are Better "1",7017632,7002274,6988999 "2",6897715,6918614,6963833 "3",6989053,6985935,7088823 "CLOMP 1.2 - Static OMP Speedup", Higher Results Are Better "1",10.3,9.7,9.9,9.7 "2",10.6,10.3,9.9,10.1 "3",10.3,10.2,10 "Compile Bench 0.6 - Test: Compile", Higher Results Are Better "1",745.03,771.75,765.74 "2",765.57,770.29,784.87 "3",881.7,902.48,806.14,720.29,695.4,635.22,643.62,566.6,624.77,569.15,207.4,591.37 "Compile Bench 0.6 - Test: Initial Create", Higher Results Are Better "1",358.45,366.05,348.16 "2",388.95,302,327 "3",391.62,371.54,365.3 "Compile Bench 0.6 - Test: Read Compiled Tree", Higher Results Are Better "1",2197.96,2248.01,2285.33 "2",2322.31,2284.23,2285.33 "3",2285.33,2305.64,2268.32 "Sockperf 3.4 - Test: Throughput", Higher Results Are Better "1",288896,269097,257428,260234,249749,243684,289848,253450,249847,261281,244333,261906,263244,278727,275358,291111,261933,284211,279256,263733,254694,271422,268572,253812,262749 "2",258144,258141,252080,264172,276430,276172,252565,257634,270776,252484,257206,259371,258927,283912,302074,265901,282491,272582,264955,270514,253705,294060,255649,254091,258384 "3",264322,275688,257661,263116,267321 "Sockperf 3.4 - Test: Latency Ping Pong", Lower Results Are Better "1",4.814,4.659,4.452,4.52,4.305,4.307,4.505,4.473,4.387,4.403,4.892,4.44,4.338,4.336,4.576,4.342,4.422,4.986,4.584,4.275,4.649,4.491,4.528,4.319,4.475 "2",4.379,4.496,4.476,4.508,4.577 "3",4.404,4.492,4.576,4.737,4.357,4.496 "Sockperf 3.4 - Test: Latency Under Load", Lower Results Are Better "1",27.073,24.092,24.315,12.616,29.413,23.895,26.367,25.741,27.762,24.219,29.383,23.907,15.223,19.629,28.354,28.327,28.074,27.293,27.808,29.225,24.107,28.79,25.072,27.826,28.199 "2",28.806,28.01,24.377,23.811,28.305,24.175,29.232,13.518,29.13,28.347,28.179,28.931,12.352,28.473,28.182,23.888,26.131,28.581,28.959,27.827 "3",27.893,28.3,27.978,12.836,19.241,15.915,21.13,27.25,12.535,24.108,28.564,26.04,28.815,28.553,32.655,28.503,28.554,28.158,15.18,27.978,27.621,23.813,28.798,28.687,12.764 "Hierarchical INTegration 1.0 - Test: FLOAT", Higher Results Are Better "1",349409597.14064,347092025.64262,348062835.83159 "2",348518551.74918,349708029.00796,349291888.57999 "3",348693153.28491,348847103.86897,349074770.54063 "Basis Universal 1.12 - Settings: ETC1S", Lower Results Are Better "1",66.415,66.088,64.963 "2",66.455,66.331,65.827 "3",66.171,66.328,66.17 "Basis Universal 1.12 - Settings: UASTC Level 0", Lower Results Are Better "1",10.342,10.179,10.192 "2",10.188,10.217,10.202 "3",10.195,10.21,10.208 "Basis Universal 1.12 - Settings: UASTC Level 2", Lower Results Are Better "1",47.359,47.412,47.378 "2",47.398,47.438,47.419 "3",47.383,47.613,47.523 "Basis Universal 1.12 - Settings: UASTC Level 3", Lower Results Are Better "1",88.856,88.87,88.897 "2",89.157,88.893,88.909 "3",88.904,88.923,88.973 "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",14.3,14.103,14.194,14.112,14.075 "2",14.405,14.071,14.169,14.092,14.115 "3",14.336,14.088,14.061,14.145,14.067 "Opus Codec Encoding 1.3.1 - WAV To Opus Encode", Lower Results Are Better "1",9.773,9.658,9.657,9.647,9.657 "2",9.76,9.664,9.586,9.617,9.586 "3",9.644,9.609,9.599,9.607,9.62 "WavPack Audio Encoding 5.3 - WAV To WavPack", Lower Results Are Better "1",16.135,15.923,15.974,15.931,15.922 "2",16.178,15.934,15.931,15.928,15.93 "3",16.177,15.927,16.107,15.92,15.929 "ASTC Encoder 2.0 - Preset: Fast", Lower Results Are Better "1",7.01,7,6.99 "2",7.09,7,7.23 "3",7.11,7.01,7 "ASTC Encoder 2.0 - Preset: Medium", Lower Results Are Better "1",6.59,6.59,6.58 "2",6.58,6.59,6.58 "3",6.58,6.59,6.59 "ASTC Encoder 2.0 - Preset: Thorough", Lower Results Are Better "1",41.55,41.53,41.48 "2",41.52,41.49,41.51 "3",41.48,41.48,41.53 "ASTC Encoder 2.0 - Preset: Exhaustive", Lower Results Are Better "1",334.1,334.05,334.16 "2",334.14,334.3,334.07 "3",334.12,334.15,334.35 "Ogg Audio Encoding 1.3.4 - WAV To Ogg", Lower Results Are Better "1",24.805,24.732,24.727 "2",24.76,24.751,24.735 "3",24.777,24.791,24.762 "eSpeak-NG Speech Engine 20200907 - Text-To-Speech Synthesis", Lower Results Are Better "1",35.189,36.653,35.437,35.604 "2",38.221,35.522,38.586,39.996,35.481,41.095,35.475,38.991,35.374,40.467,36.973,37.711,38.024,38.78,35.48,35.548,35.377,37.397,35.343,39.747 "3",43.083,37.569,36.513,40.69,35.317,40.997,41.143,41.329,35.54,39.518,35.326,38.531,39.247,35.521,40.354,35.36,41.022,37.053,37.767,38.062 "Timed HMMer Search 3.3.1 - Pfam Database Search", Lower Results Are Better "1",162.188,162.887,162.649 "2",164.045,162.794,163.524 "3",163.545,163.301,163.092 "Timed MAFFT Alignment 7.471 - Multiple Sequence Alignment - LSU RNA", Lower Results Are Better "1",11.359,11.415,11.301 "2",11.383,11.251,11.318 "3",11.312,11.308,11.149 "LeelaChessZero 0.26 - Backend: BLAS", Higher Results Are Better "1",1111,1116,1089 "2",1112,1105,1095 "3",1076,1104,1093 "LeelaChessZero 0.26 - Backend: Eigen", Higher Results Are Better "1",1051,1046,1041 "2",1054,1040,1056 "3",1023,1029,1061 "Numpy Benchmark - ", Higher Results Are Better "1",285.23,283.6,286.63 "2",289.67,288.44,289.48 "3",282.93,283.34,285.36 "Dolfyn 0.527 - Computational Fluid Dynamics", Lower Results Are Better "1",23.271,23.33,23.019 "2",23.12,23.69,23.382 "3",23.649,23.22,23.1 "RNNoise 2020-06-28 - ", Lower Results Are Better "1",25.735,25.717,25.68 "2",25.409,25.897,25.702 "3",25.626,25.432,25.505 "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", "Caffe 2020-02-13 - Model: AlexNet - Acceleration: CPU - Iterations: 100", Lower Results Are Better "1",59080,59640,59201 "2",59129,59303,59184 "3",59166,59248,59248 "Caffe 2020-02-13 - Model: AlexNet - Acceleration: CPU - Iterations: 200", Lower Results Are Better "1",118050,118113,118095 "2",118993,118305,118222 "3",118019,118115,118314 "Caffe 2020-02-13 - Model: GoogleNet - Acceleration: CPU - Iterations: 100", Lower Results Are Better "1",150788,151096,151098 "2",150909,150953,150698 "3",150819,151049,151191 "Caffe 2020-02-13 - Model: GoogleNet - Acceleration: CPU - Iterations: 200", Lower Results Are Better "1",302167,302131,301582 "2",301879,301800,301379 "3",301399,301945,301936 "NCNN 20201218 - Target: CPU - Model: mobilenet", Lower Results Are Better "1",20.25,20.48,20.77 "2",20.24,20.23,20.22 "3",20.84,20.23,20.26 "NCNN 20201218 - Target: CPU-v2-v2 - Model: mobilenet-v2", Lower Results Are Better "1",6.13,6.24,6.21 "2",6.3,6.21,6.18 "3",6.24,6.47,6.25 "NCNN 20201218 - Target: CPU-v3-v3 - Model: mobilenet-v3", Lower Results Are Better "1",5.29,5.5,5.42 "2",5.36,5.44,5.45 "3",5.39,5.52,5.45 "NCNN 20201218 - Target: CPU - Model: shufflenet-v2", Lower Results Are Better "1",6.81,6.93,6.91 "2",6.9,7.02,6.93 "3",6.83,7.04,7.04 "NCNN 20201218 - Target: CPU - Model: mnasnet", Lower Results Are Better "1",5.35,5.59,5.41 "2",5.52,5.73,5.64 "3",5.54,5.73,5.53 "NCNN 20201218 - Target: CPU - Model: efficientnet-b0", Lower Results Are Better "1",8.15,8.18,8.17 "2",8.36,8.49,8.18 "3",9.35,8.46,8.2 "NCNN 20201218 - Target: CPU - Model: blazeface", Lower Results Are Better "1",2.57,2.57,2.5 "2",2.56,2.53,2.55 "3",2.56,2.71,2.57 "NCNN 20201218 - Target: CPU - Model: googlenet", Lower Results Are Better "1",15.33,15.33,15.52 "2",15.69,15.46,15.58 "3",15.48,15.36,15.56 "NCNN 20201218 - Target: CPU - Model: vgg16", Lower Results Are Better "1",48.04,47.99,47.83 "2",48.17,48.13,48.13 "3",48.29,48.04,48.2 "NCNN 20201218 - Target: CPU - Model: resnet18", Lower Results Are Better "1",14.03,14.02,14.02 "2",14.05,14.06,14.1 "3",14.01,13.98,14.02 "NCNN 20201218 - Target: CPU - Model: alexnet", Lower Results Are Better "1",11.15,11.14,11.19 "2",11.18,11.18,11.2 "3",11.17,11.16,11.25 "NCNN 20201218 - Target: CPU - Model: resnet50", Lower Results Are Better "1",27.27,27.4,27.45 "2",27.52,27.42,27.44 "3",27.47,27.51,27.42 "NCNN 20201218 - Target: CPU - Model: yolov4-tiny", Lower Results Are Better "1",29.55,29.78,30.39 "2",28.22,28.31,28.07 "3",30.43,28.25,28.07 "NCNN 20201218 - Target: CPU - Model: squeezenet_ssd", Lower Results Are Better "1",24.71,24.7,25.02 "2",24.72,24.74,24.71 "3",24.76,24.7,24.74 "NCNN 20201218 - Target: CPU - Model: regnety_400m", Lower Results Are Better "1",20.73,20.78,20.53 "2",20.73,20.92,20.96 "3",21.1,20.75,21.01 "Mlpack Benchmark - Benchmark: scikit_ica", Lower Results Are Better "1",64.864540100098,68.689922332764,70.379067182541,66.84287405014,72.301881313324,68.201920747757,66.228056669235,66.572455406189,69.078205823898,63.520980358124,65.746799707413,69.164304256439,65.740843772888,64.431172609329,65.861926317215 "2",65.822218894958,67.782016038895,70.933829069138,65.979419231415,68.367298841476,68.709278106689 "3",72.685399532318,72.121461629868,68.866673231125 "Mlpack Benchmark - Benchmark: scikit_qda", Lower Results Are Better "1",61.05285859108,61.555696249008,61.760449647903 "2",61.048042297363,71.431015014648,73.032835960388,61.761367797852,61.833021402359,61.570791959763,61.894184589386,61.750946760178,61.380974769592,62.711264848709,61.865362644196,62.485275745392 "3",61.299055814743,82.599109888077,61.691069841385,61.520762205124,61.431200265884,61.682819604874,61.743585109711,82.564236879349,61.307006835938,79.598568677902,62.149617195129,76.214384078979 "Mlpack Benchmark - Benchmark: scikit_svm", Lower Results Are Better "1",22.334817886353,22.306137561798,22.251195430756 "2",22.437188148499,22.296085596085,22.261089324951 "3",22.409846782684,22.254319429398,22.330183267593 "Mlpack Benchmark - Benchmark: scikit_linearridgeregression", Lower Results Are Better "1",3.2006132602692,3.1751525402069,3.1571383476257 "2",3.2072792053223,3.1798055171967,3.1881716251373 "3",3.2042365074158,3.2004494667053,3.1637625694275 "GROMACS 2020.3 - Water Benchmark", Higher Results Are Better "1",0.758,0.753,0.752 "2",0.75,0.751,0.757 "3",0.751,0.758,0.756 "LAMMPS Molecular Dynamics Simulator 29Oct2020 - Model: Rhodopsin Protein", Higher Results Are Better "1",5.063,5.054,5.047 "2",4.881,5.1,5.096 "3",5.069,5.085,5.061 "oneDNN 2.0 - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",4.50057,4.54472,4.54508 "2",4.52503,4.62606,4.59941 "3",4.51461,4.572,4.58673 "oneDNN 2.0 - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",6.84523,6.89859,6.88875 "2",6.75328,6.83423,6.77623 "3",6.74394,6.83483,6.8554 "oneDNN 2.0 - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",3.11074,3.13663,3.15287 "2",3.13745,3.1588,3.17998 "3",3.12276,3.15339,3.1581 "oneDNN 2.0 - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",2.52567,2.57438,2.55608 "2",2.50525,2.54238,2.55607 "3",2.49989,2.53659,2.53833 "oneDNN 2.0 - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",12.5402,12.5935,12.522 "2",12.4718,12.5502,12.472 "3",12.4581,12.5167,12.4595 "oneDNN 2.0 - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",6.31971,6.3496,6.33505 "2",6.41373,6.37852,6.40817 "3",6.31869,6.44195,6.35746 "oneDNN 2.0 - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",9.15107,9.18185,9.19888 "2",9.27648,9.24578,9.18163 "3",9.18806,9.19416,9.21542 "oneDNN 2.0 - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",10.7851,10.856,10.8069 "2",10.7247,10.8127,10.7264 "3",10.7826,10.8613,10.7784 "oneDNN 2.0 - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",7.62264,7.68289,8.08089,8.12,7.87833 "2",7.81714,8.15759,7.7359 "3",7.64114,7.68945,7.66364 "oneDNN 2.0 - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",6.18052,6.22231,6.20675 "2",6.17713,6.24892,6.21281 "3",6.19812,6.24249,6.19148 "oneDNN 2.0 - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",4531.84,4527.89,4533.6 "2",4524.89,4523.65,4527.73 "3",4529.34,4536.22,4535.37 "oneDNN 2.0 - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",2475.51,2479.3,2469.83 "2",2469.71,2462.95,2474.24 "3",2468.52,2472.09,2465.8 "oneDNN 2.0 - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",4529.74,4528.53,4529.1 "2",4522.38,4530.78,4518.42 "3",4550.77,4531.78,4526.87 "oneDNN 2.0 - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",2474.44,2471.4,2472.17 "2",2471.81,2468.9,2470.4 "3",2467.99,2471.81,2464.94 "oneDNN 2.0 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",2.99827,3.02383,3.01908 "2",2.97304,2.99686,2.99451 "3",2.96049,2.98607,2.97686 "oneDNN 2.0 - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "1",4537.17,4533.78,4528.09 "2",4522.47,4526.65,4522.64 "3",4533.08,4522.76,4523.14 "oneDNN 2.0 - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "1",2467.03,2500.39,2472.89 "2",2469.03,2465.54,2474.07 "3",2466.9,2465.35,2466.02 "oneDNN 2.0 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",3.49053,3.51727,3.52198 "2",3.51484,3.53263,3.44292 "3",3.49136,3.43506,3.45461 "OpenVINO 2021.1 - Model: Face Detection 0106 FP16 - Device: CPU", Higher Results Are Better "1",1.88,1.88,1.88 "2",1.89,1.88,1.88 "3",1.88,1.88,1.88 "OpenVINO 2021.1 - Model: Face Detection 0106 FP16 - Device: CPU", Lower Results Are Better "1",2114.67,2113.36,2115.16 "2",2113.74,2115.24,2116.9 "3",2119.08,2116.56,2115.33 "OpenVINO 2021.1 - Model: Face Detection 0106 FP32 - Device: CPU", Higher Results Are Better "1",1.87,1.88,1.89 "2",1.88,1.88,1.89 "3",1.88,1.87,1.88 "OpenVINO 2021.1 - Model: Face Detection 0106 FP32 - Device: CPU", Lower Results Are Better "1",2115.46,2113.51,2112.64 "2",2115.32,2114.42,2116.19 "3",2113.84,2119.04,2117.63 "OpenVINO 2021.1 - Model: Person Detection 0106 FP16 - Device: CPU", Higher Results Are Better "1",1.3,1.3,1.3 "2",1.3,1.26,1.26 "3",1.3,1.3,1.29 "OpenVINO 2021.1 - Model: Person Detection 0106 FP16 - Device: CPU", Lower Results Are Better "1",3072.17,3073.99,3064.47 "2",3080.86,3082.27,3072.98 "3",3072.46,3074.58,3074.82 "OpenVINO 2021.1 - Model: Person Detection 0106 FP32 - Device: CPU", Higher Results Are Better "1",1.3,1.3,1.3 "2",1.3,1.3,1.3 "3",1.3,1.3,1.3 "OpenVINO 2021.1 - Model: Person Detection 0106 FP32 - Device: CPU", Lower Results Are Better "1",3078.2,3073.45,3072.72 "2",3067.36,3071.37,3069.22 "3",3062.6,3079.61,3079.4 "OpenVINO 2021.1 - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU", Higher Results Are Better "1",5043.06,5083.03,5082.33 "2",5056.39,5027.32,5049.27 "3",5051.91,5072.84,5075.09 "OpenVINO 2021.1 - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU", Lower Results Are Better "1",0.78,0.77,0.77 "2",0.77,0.78,0.77 "3",0.77,0.77,0.77 "OpenVINO 2021.1 - Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU", Higher Results Are Better "1",5059.35,5080.55,5091.42 "2",5048.76,5068.09,5081.51 "3",5052.9,5053.04,5074.56 "OpenVINO 2021.1 - Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU", Lower Results Are Better "1",0.77,0.77,0.77 "2",0.77,0.77,0.77 "3",0.77,0.77,0.77 "FFTE 7.0 - N=256, 3D Complex FFT Routine", Higher Results Are Better "1",30791.00384177,29790.183125439,29747.645401795 "2",30811.66409549,30129.676984516,30686.049963583 "3",30887.10343725,30612.855327557,30625.387524956 "Coremark 1.0 - CoreMark Size 666 - Iterations Per Second", Higher Results Are Better "1",270008.015863,269780.381908,273049.191518 "2",274160.383825,274807.849199,272804.774084 "3",274172.12869,273014.247931,274654.536091 "Timed FFmpeg Compilation 4.2.2 - Time To Compile", Lower Results Are Better "1",81.78,81.477,82.272 "2",81.956,81.69,81.935 "3",81.892,81.499,81.839 "Stockfish 12 - Total Time", Higher Results Are Better "1",13811064,14379775,14182374 "2",14178966,14241763,14003298 "3",14386472,13814758,13445217,13955854 "asmFish 2018-07-23 - 1024 Hash Memory, 26 Depth", Higher Results Are Better "1",21869886,22056451,21197417 "2",22007589,21462608,21262613 "3",21542525,22341860,21421602 "Kvazaar 2.0 - Video Input: Bosphorus 4K - Video Preset: Medium", Higher Results Are Better "1",3.6,3.63,3.63 "2",3.59,3.62,3.62 "3",3.53,3.56,3.57 "Kvazaar 2.0 - Video Input: Bosphorus 1080p - Video Preset: Medium", Higher Results Are Better "1",15.61,15.68,15.66 "2",15.61,15.72,15.67 "3",15.41,15.44,15.45 "Kvazaar 2.0 - Video Input: Bosphorus 4K - Video Preset: Very Fast", Higher Results Are Better "1",10.29,10.27,10.27 "2",10.26,10.3,10.28 "3",10.1,10.1,10.09 "Kvazaar 2.0 - Video Input: Bosphorus 4K - Video Preset: Ultra Fast", Higher Results Are Better "1",18.62,18.54,18.51 "2",18.5,18.56,18.5 "3",18.29,18.32,18.25 "Kvazaar 2.0 - Video Input: Bosphorus 1080p - Video Preset: Very Fast", Higher Results Are Better "1",36.73,36.81,36.79 "2",36.93,36.73,36.68 "3",36.01,36.08,35.96 "Kvazaar 2.0 - Video Input: Bosphorus 1080p - Video Preset: Ultra Fast", Higher Results Are Better "1",69.71,69.51,69.89 "2",69.62,69.09,68.93 "3",68.44,68.49,69.11 "GraphicsMagick 1.3.33 - Operation: Swirl", Higher Results Are Better "1",261,263,262 "2",263,264,264 "3",263,265,264 "GraphicsMagick 1.3.33 - Operation: Rotate", Higher Results Are Better "1", "2", "3",614,613,613 "GraphicsMagick 1.3.33 - Operation: Sharpen", Higher Results Are Better "1", "2", "3", "GraphicsMagick 1.3.33 - Operation: Enhanced", Higher Results Are Better "1", "2", "3", "GraphicsMagick 1.3.33 - Operation: Resizing", Higher Results Are Better "1",650,648,646 "2",653,651,649 "3",655,655,657 "GraphicsMagick 1.3.33 - Operation: Noise-Gaussian", Higher Results Are Better "1", "2",175,176,176 "3", "GraphicsMagick 1.3.33 - Operation: HWB Color Space", Higher Results Are Better "1",564,566,566 "2",576,575,575 "3",577,579,577 "x265 3.4 - Video Input: Bosphorus 4K", Higher Results Are Better "1",8.52,9.25,9.05,9.05,8.76,8.67,8.6,8.87 "2",9.01,8.66,8.45,8.86 "3",8.72,8.89,8.99 "x265 3.4 - Video Input: Bosphorus 1080p", Higher Results Are Better "1",35.74,34.49,36.29 "2",35.99,36.14,36.53 "3",35.49,35.96,35.35 "rav1e 0.4 Alpha - Speed: 1", Higher Results Are Better "1",0.272,0.272,0.272 "2",0.272,0.272,0.271 "3",0.272,0.273,0.272 "rav1e 0.4 Alpha - Speed: 5", Higher Results Are Better "1",0.811,0.814,0.819 "2",0.808,0.816,0.824 "3",0.808,0.824,0.823 "rav1e 0.4 Alpha - Speed: 6", Higher Results Are Better "1",1.09,1.086,1.089 "2",1.086,1.088,1.104 "3",1.086,1.091,1.081 "rav1e 0.4 Alpha - Speed: 10", Higher Results Are Better "1",2.417,2.412,2.415 "2",2.433,2.42,2.421 "3",2.404,2.424,2.428 "Embree 3.9.0 - Binary: Pathtracer - Model: Crown", Higher Results Are Better "1",8.6996,8.6343,8.7073 "2",8.6178,8.6028,8.6303 "3",8.6719,8.7138,8.6168 "Embree 3.9.0 - Binary: Pathtracer ISPC - Model: Crown", Higher Results Are Better "1",9.6537,9.732,9.6565 "2",9.6693,9.8065,9.73 "3",9.7984,9.732,9.7584 "Embree 3.9.0 - Binary: Pathtracer - Model: Asian Dragon", Higher Results Are Better "1",10.0484,9.995,10.0005 "2",9.9732,10.132,10.0567 "3",9.8881,10.1251,10.13 "Embree 3.9.0 - Binary: Pathtracer - Model: Asian Dragon Obj", Higher Results Are Better "1",9.39,9.3692,9.4413 "2",9.4701,9.3917,9.3955 "3",9.3572,9.3609,9.3317 "Embree 3.9.0 - Binary: Pathtracer ISPC - Model: Asian Dragon", Higher Results Are Better "1",12.0549,12.0134,12.0275 "2",11.9502,12.1364,12.3254 "3",11.9115,12.1619,12.2219 "Embree 3.9.0 - Binary: Pathtracer ISPC - Model: Asian Dragon Obj", Higher Results Are Better "1",10.7493,10.8015,10.8851 "2",10.7708,10.7615,10.8634 "3",10.7443,10.7967,10.8195 "IndigoBench 4.4 - Acceleration: CPU - Scene: Bedroom", Higher Results Are Better "1",1.298,1.297,1.296 "2",1.293,1.294,1.287 "3",1.296,1.302,1.297 "IndigoBench 4.4 - Acceleration: CPU - Scene: Supercar", Higher Results Are Better "1",2.962,2.963,2.973 "2",2.967,2.956,2.967 "3",2.943,2.95,2.945 "Build2 0.13 - Time To Compile", Lower Results Are Better "1",178.931,168.63,178.153,170.349,172.538 "2",169.038,172.424,179.329,169.575 "3",179.032,175.614,181.154 "Unpacking Firefox 84.0 - Extracting: firefox-84.0.source.tar.xz", Lower Results Are Better "1",22.571,23.837,22.686,23.547 "2",22.506,24.199,22.734,22.763,22.433,22.389 "3",22.3,23.427,23.866,23.273 "Timed Eigen Compilation 3.3.9 - Time To Compile", Lower Results Are Better "1",97.284,97.308,97.355 "2",97.212,97.086,97.238 "3",97.763,97.866,97.791 "PHPBench 0.8.1 - PHP Benchmark Suite", Higher Results Are Better "1",627729,626306,625406 "2",626138,624749,627767 "3",626141,623955,622404 "Apache CouchDB 3.1.1 - Bulk Size: 100 - Inserts: 1000 - Rounds: 24", Lower Results Are Better "1",135.031,134.839,133.937 "2",132.946,135.097,134.212 "3",133.949,132.325,139.62 "KeyDB 6.0.16 - ", Higher Results Are Better "1",472916.13,468194.9,470511.75 "2",476064.59,475711.77,476023.48 "3",474818.91,476659.18,475820.37 "Redis 6.0.9 - Test: LPOP", Higher Results Are Better "1",1795619.5,2132400.75,2096503.12,1855287.62,2083533.38,1706812.25,2004200.38,1985079.38,2016709.75,2110244.75,2032520.25,2110447.25,2146472.25,1960784.38,1968692.88 "2",1251644.5,1314060.5,1046025.12,1329915,1326726.75,2097106.88,1894242.38,1992287,1904883.88,1945525.25,2074755.25,2049508.12 "3",1349527.62,1158934,1047422,1294075,1266227.88,1328191.25,1353439.75,1340997.38,1248519.38,1377586.75,1358739.12,1048251.56,1373890.12,1328063.75,1311287 "Redis 6.0.9 - Test: SADD", Higher Results Are Better "1",1655682.25,1644894.75,1618226.62 "2",1718268,1715869.62,1499634.25,1663946.75,1652945.38,1698227.5,1642088.62,1513004.5,1678013.38,1277425.25,1706539.12,1715595.12,1647815.5,1536098.25,1721335.75 "3",1557632.38,1580284.38,1692155.62,1698281.88,1430661,1615819,1472848.25,1597495.25,1733601.38,1695349.25,1727171,1647446.5,1636713.62,1724358.62,1724744.88 "Redis 6.0.9 - Test: LPUSH", Higher Results Are Better "1",1344215,1243781.12,1280655.5,1297058.38,1280614.62 "2",1361197.25,1256683.38,1266227.88,1262747.5,1264384.25,1241131.5,1321088.5,1344559.12,1312335.88,1346067.38,1337155,1337026.75,1333333.38,1288701,1331856.25 "3",1314186.62,1245369.88,1338816.62,1305984.38,1349873.12,978567.56,1040616,1270729.38,1288783.5,1192124,1324630.5,1274048.38 "Redis 6.0.9 - Test: GET", Higher Results Are Better "1",1805342.88,1818181.75,1879759.38 "2",1692209.75,1721225.5,1883480.12,1760619.62,1730546.62,1869158.75,1754891.25,1739130.5,1754498.25,1727668.38,1466932.62,1686664.38,1842563.62,1754386,1876352.75 "3",1802147.75,1901384,1855406.38 "Redis 6.0.9 - Test: SET", Higher Results Are Better "1",1168523.38,1531638.62,1536098.25,1558330.12,1587758.75,1563150,1485979.25,1515151.5,1475681.5,1164665.88,1484059.25,1577539.38,1499586.25,1529101,1550536.5 "2",1553043.5,1469086.62,1373846.12,1543358,1160389.75,1412745.75,1381348.12,1562500,1483869.38,1565245.75,1515878.75,1447224.38,1486454.75,1433352.38,1459854 "3",1164293.38,1531589.62,1541029.25,1557632.38,1541078.62,1553043.5,1434720.12,1515733.25,1481765.88,1280450.62,1550685.38,1520194.5,1560162.38,1261639.38,1479905.38 "SQLite Speedtest 3.30 - Timed Time - Size 1,000", Lower Results Are Better "1",78.858,78.554,79.655 "2",78.837,80.007,80.142 "3",79.31,79.415,79.222 "Node.js V8 Web Tooling Benchmark - ", Higher Results Are Better "1",9.74,9.72,9.84 "2",9.66,9.66,9.81 "3",9.41,9.55,9.55 "BYTE Unix Benchmark 3.6 - Computational Test: Dhrystone 2", Higher Results Are Better "1",37093823.7,37411711.3,37665781.2 "2",37388069,37449506.6,37548368.2 "3",36974070.1,37160592.5,37396361.8