eps

2 x AMD EPYC 9684X 96-Core testing with a AMD Titanite_4G (RTI1007B BIOS) and ASPEED on Ubuntu 23.10 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 2312241-NE-EPS60637430
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CPU Massive 3 Tests
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  Test
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a
December 24 2023
  1 Day, 26 Minutes
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December 25 2023
  7 Hours, 39 Minutes
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eps, "Apache Spark TPC-H 3.5 - Scale Factor: 1 - Geometric Mean Of All Queries", Lower Results Are Better "a",2.44734554,2.48608354,2.41551839 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 1 - Q01", Lower Results Are Better "a",4.56663895,3.98511863,4.40842485 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 1 - Q02", Lower Results Are Better "a",2.02226448,2.07464314,2.0884645 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 1 - Q03", Lower Results Are Better "a",4.071527,3.67948937,3.84224916 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 1 - Q04", Lower Results Are Better "a",4.03075743,4.01761103,3.72740388 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 1 - Q05", Lower Results Are Better "a",4.07299376,3.83691597,4.48375511 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 1 - Q06", Lower Results Are Better "a",0.45055059,0.42299843,0.53113842 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 1 - Q07", Lower Results Are Better "a",4.04920912,3.97772956,4.0044055 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 1 - Q08", Lower Results Are Better "a",2.70816731,2.65299273,2.60637927 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 1 - Q09", Lower Results Are Better "a",5.81907606,5.77505255,5.53495359 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 1 - Q10", Lower Results Are Better "a",3.87220621,3.56021571,4.00836802 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 1 - Q11", Lower Results Are Better "a",1.39338207,1.21846306,1.20829892 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 1 - Q12", Lower Results Are Better "a",2.13392258,2.45664954,1.93570733 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 1 - Q13", Lower Results Are Better "a",1.33157635,1.55703878,1.87586296 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 1 - Q14", Lower Results Are Better "a",1.88954496,2.39581585,1.90919912 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 1 - Q15", Lower Results Are Better "a",2.38088584,2.72430491,2.40038824 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 1 - Q16", Lower Results Are Better "a",1.51628184,1.32311714,1.30501878 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 1 - Q17", Lower Results Are Better "a",3.01341939,3.11108828,2.75531006 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 1 - Q18", Lower Results Are Better "a",5.84331036,5.47399569,5.56830931 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 1 - Q19", Lower Results Are Better "a",0.72683871,0.78376949,0.86216366 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 1 - Q20", Lower Results Are Better "a",3.06748962,3.26062655,2.84407234 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 1 - Q21", Lower Results Are Better "a",9.75760746,9.14734268,10.03098679 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 1 - Q22", Lower Results Are Better "a",1.07193303,0.97994989,0.97118849 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 10 - Geometric Mean Of All Queries", Lower Results Are Better "a",10.70675516,10.7578077,10.69994338 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 10 - Q01", Lower Results Are Better "a",7.2830081,7.42377281,8.05989361 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 10 - Q02", Lower Results Are Better "a",7.69353294,7.37505102,7.22454453 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 10 - Q03", Lower Results Are Better "a",14.49143982,13.99293995,13.43488312 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 10 - Q04", Lower Results Are Better "a",12.35292149,11.97379589,12.7104187 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 10 - Q05", Lower Results Are Better "a",17.3434906,15.7246933,16.26278496 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 10 - Q06", Lower Results Are Better "a",1.72352207,2.50853539,1.92108488 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 10 - Q07", Lower Results Are Better "a",14.87954044,14.00772095,15.06876659 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 10 - Q08", Lower Results Are Better "a",16.06078339,15.77113152,14.72282791 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 10 - Q09", Lower Results Are Better "a",21.28487968,21.52300072,22.91222572 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 10 - Q10", Lower Results Are Better "a",15.46805,15.51094437,14.54564857 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 10 - Q11", Lower Results Are Better "a",8.09433651,7.96335793,7.95107603 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 10 - Q12", Lower Results Are Better "a",9.92536736,9.66866779,10.23797798 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 10 - Q13", Lower Results Are Better "a",7.39138222,7.20284748,7.5376215 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 10 - Q14", Lower Results Are Better "a",7.72563505,6.87721539,6.62582064 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 10 - Q15", Lower Results Are Better "a",5.69666052,5.78869915,6.0387826 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 10 - Q16", Lower Results Are Better "a",6.99363327,7.37997961,6.24032593 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 10 - Q17", Lower Results Are Better "a",12.6747961,12.91307735,12.72346306 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 10 - Q18", Lower Results Are Better "a",17.58413315,19.31554985,18.50945282 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 10 - Q19", Lower Results Are Better "a",6.02860594,6.079072,6.51265717 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 10 - Q20", Lower Results Are Better "a",11.15475655,11.6017971,11.55027103 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 10 - Q21", Lower Results Are Better "a",33.02710342,32.69524384,32.99910355 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 10 - Q22", Lower Results Are Better "a",5.82202768,6.06251621,6.27781296 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 50 - Geometric Mean Of All Queries", Lower Results Are Better "a",19.50462378,19.68174039,19.57601003 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 50 - Q01", Lower Results Are Better "a",12.24362183,11.59043789,12.18980885 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 50 - Q02", Lower Results Are Better "a",14.86013412,14.24577141,13.65871048 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 50 - Q03", Lower Results Are Better "a",27.9977932,25.71266365,24.85320473 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 50 - Q04", Lower Results Are Better "a",21.34400368,21.55591774,20.08802795 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 50 - Q05", Lower Results Are Better "a",29.19693565,29.1400795,31.17182159 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 50 - Q06", Lower Results Are Better "a",5.91248417,5.97630978,5.82048225 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 50 - Q07", Lower Results Are Better "a",24.8122406,24.48284721,25.27624702 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 50 - Q08", Lower Results Are Better "a",27.23522949,26.57908249,26.39174652 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 50 - Q09", Lower Results Are Better "a",37.30853653,36.51877594,36.16644287 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 50 - Q10", Lower Results Are Better "a",24.53637886,24.79902458,23.74470901 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 50 - Q11", Lower Results Are Better "a",13.06383038,13.51126766,14.16574955 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 50 - Q12", Lower Results Are Better "a",19.13549614,17.48753929,21.59309769 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 50 - Q13", Lower Results Are Better "a",12.60464287,12.8504324,12.82196712 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 50 - Q14", Lower Results Are Better "a",13.10005569,12.67374611,12.33984852 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 50 - Q15", Lower Results Are Better "a",9.88364601,9.73363686,9.71473312 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 50 - Q16", Lower Results Are Better "a",14.03143597,13.89167118,14.72400475 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 50 - Q17", Lower Results Are Better "a",23.46290207,25.34931755,24.11561775 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 50 - Q18", Lower Results Are Better "a",35.12891006,34.41042709,33.99983215 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 50 - Q19", Lower Results Are Better "a",10.69713497,10.37591267,10.28557014 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 50 - Q20", Lower Results Are Better "a",20.89604759,20.8917923,20.60844421 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 50 - Q21", Lower Results Are Better "a",78.36673737,103.64374542,81.67538452 "b", "Apache Spark TPC-H 3.5 - Scale Factor: 50 - Q22", Lower Results Are Better "a",10.91618538,10.49501514,10.66856861 "b", "Java SciMark 2.2 - Computational Test: Composite", Higher Results Are Better "a",3995.57,3973.95,3984.34 "b", "Java SciMark 2.2 - Computational Test: Monte Carlo", Higher Results Are Better "a",1629.97,1631.83,1632.45 "b", "Java SciMark 2.2 - Computational Test: Fast Fourier Transform", Higher Results Are Better "a",420.05,421.29,420.87 "b", "Java SciMark 2.2 - Computational Test: Sparse Matrix Multiply", Higher Results Are Better "a",2807.4,2804.52,2815.12 "b", "Java SciMark 2.2 - Computational Test: Dense LU Matrix Factorization", Higher Results Are Better "a",13417.19,13308.38,13350.02 "b", "Java SciMark 2.2 - Computational Test: Jacobi Successive Over-Relaxation", Higher Results Are Better "a",1703.26,1703.73,1703.26 "b", "LeelaChessZero 0.30 - Backend: BLAS", Higher Results Are Better "a",755,844,811,875,851,823,863,949,904 "b", "LeelaChessZero 0.30 - Backend: Eigen", Higher Results Are Better "a",688,730,740,737,775,677,661,624 "b", "Neural Magic DeepSparse 1.6 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a",132.4807,133.872,131.6213 "b", "Neural Magic DeepSparse 1.6 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a",717.0415,706.9504,721.1168 "b", "Neural Magic DeepSparse 1.6 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream", Higher Results Are Better "a",48.4059,48.466,48.4708 "b", "Neural Magic DeepSparse 1.6 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream", Lower Results Are Better "a",20.6523,20.6264,20.6247 "b", "Neural Magic DeepSparse 1.6 - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a",5550.652,5535.0053,5536.2232 "b", "Neural Magic DeepSparse 1.6 - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a",17.2726,17.3199,17.3143 "b", "Neural Magic DeepSparse 1.6 - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream", Higher Results Are Better "a",190.8974,190.7022,190.8001 "b", "Neural Magic DeepSparse 1.6 - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream", Lower Results Are Better "a",5.2351,5.2404,5.2377 "b", "Neural Magic DeepSparse 1.6 - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a",1762.0034,1758.377,1755.3989 "b", "Neural Magic DeepSparse 1.6 - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a",54.4109,54.5002,54.608 "b", "Neural Magic DeepSparse 1.6 - Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream", Higher Results Are Better "a",210.8245,209.1255,209.4493 "b", "Neural Magic DeepSparse 1.6 - Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream", Lower Results Are Better "a",4.7405,4.7791,4.7716 "b", "Neural Magic DeepSparse 1.6 - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a",17128.067,17075.1164,17122.2068 "b", "Neural Magic DeepSparse 1.6 - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a",5.5894,5.6065,5.5905 "b", "Neural Magic DeepSparse 1.6 - Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream", Higher Results Are Better "a",807.9178,806.3779,798.2396 "b", "Neural Magic DeepSparse 1.6 - Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream", Lower Results Are Better "a",1.2356,1.238,1.2504 "b", "Neural Magic DeepSparse 1.6 - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a",787.3115,783.6,782.6418 "b", "Neural Magic DeepSparse 1.6 - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a",121.5547,122.1545,122.3845 "b", "Neural Magic DeepSparse 1.6 - Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream", Higher Results Are Better "a",210.7696,212.0714,212.3933 "b", "Neural Magic DeepSparse 1.6 - Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream", Lower Results Are Better "a",4.7403,4.7117,4.7044 "b", "Neural Magic DeepSparse 1.6 - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a",156.4583,156.3982,156.3911 "b", "Neural Magic DeepSparse 1.6 - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a",607.0642,607.3424,608.2925 "b", "Neural Magic DeepSparse 1.6 - Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream", Higher Results Are Better "a",31.9875,32.0749,32.0064 "b", "Neural Magic DeepSparse 1.6 - Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream", Lower Results Are Better "a",31.2501,31.1646,31.2316 "b", "Neural Magic DeepSparse 1.6 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a",1762.8387,1764.3621,1757.0116 "b", "Neural Magic DeepSparse 1.6 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a",54.3801,54.2986,54.5505 "b", "Neural Magic DeepSparse 1.6 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream", Higher Results Are Better "a",208.4097,207.2516,208.6987 "b", "Neural Magic DeepSparse 1.6 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream", Lower Results Are Better "a",4.7955,4.8224,4.7888 "b", "Neural Magic DeepSparse 1.6 - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a",797.9049,797.2984,793.0105 "b", "Neural Magic DeepSparse 1.6 - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a",119.8979,120.0368,120.6847 "b", "Neural Magic DeepSparse 1.6 - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream", Higher Results Are Better "a",211.9053,212.7788,211.6023 "b", "Neural Magic DeepSparse 1.6 - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream", Lower Results Are Better "a",4.7168,4.6973,4.7237 "b", "Neural Magic DeepSparse 1.6 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a",1141.3955,1135.605,1133.1309 "b", "Neural Magic DeepSparse 1.6 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a",83.8888,84.3222,84.5446 "b", "Neural Magic DeepSparse 1.6 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream", Higher Results Are Better "a",224.5663,224.5935,224.5796 "b", "Neural Magic DeepSparse 1.6 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream", Lower Results Are Better "a",4.4505,4.4501,4.4503 "b", "Neural Magic DeepSparse 1.6 - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a",249.1038,248.8502,247.7771 "b", "Neural Magic DeepSparse 1.6 - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a",382.1348,383.2064,384.2599 "b", "Neural Magic DeepSparse 1.6 - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream", Higher Results Are Better "a",65.2858,65.1866,65.1486 "b", "Neural Magic DeepSparse 1.6 - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream", Lower Results Are Better "a",15.3001,15.3222,15.3327 "b", "Neural Magic DeepSparse 1.6 - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a",2620.7344,2601.0147,2602.2779 "b", "Neural Magic DeepSparse 1.6 - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a",36.5778,36.845,36.8296 "b", "Neural Magic DeepSparse 1.6 - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream", Higher Results Are Better "a",68.1957,68.472,68.1288 "b", "Neural Magic DeepSparse 1.6 - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream", Lower Results Are Better "a",14.6572,14.5982,14.6712 "b", "Neural Magic DeepSparse 1.6 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a",132.0246,132.0092,132.1118 "b", "Neural Magic DeepSparse 1.6 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a",716.3335,720.0155,721.4951 "b", "Neural Magic DeepSparse 1.6 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream", Higher Results Are Better "a",48.5013,48.3964,48.5775 "b", "Neural Magic DeepSparse 1.6 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream", Lower Results Are Better "a",20.6116,20.6564,20.5791 "b", "OpenSSL - Algorithm: SHA256", Higher Results Are Better "a",282935898130,281564585390,281109203760 "b", "OpenSSL - Algorithm: SHA512", Higher Results Are Better "a",91369558010,91519557260,92003661150 "b", "OpenSSL - Algorithm: RSA4096", Higher Results Are Better "a",98728,98581.2,98556.9 "b", "OpenSSL - Algorithm: RSA4096", Higher Results Are Better "a",3246548.5,3242079.1,3244543.3 "b", "OpenSSL - Algorithm: ChaCha20", Higher Results Are Better "a", "b", "OpenSSL - Algorithm: AES-128-GCM", Higher Results Are Better "a", "b", "OpenSSL - Algorithm: AES-256-GCM", Higher Results Are Better "a", "b", "OpenSSL - Algorithm: ChaCha20-Poly1305", Higher Results Are Better "a", "b", "PyTorch 2.1 - Device: CPU - Batch Size: 1 - Model: ResNet-50", Higher Results Are Better "a",21.86706725506,24.677829384935,23.784075056838,24.854545738178,23.731011387529,23.289833573657,23.697583762024,23.318275089803,23.516885897532,23.905416044192,22.436176357956,23.400118148059,23.423849394394,23.792174933806,23.91855336675 "b",23.11971336552 "PyTorch 2.1 - Device: CPU - Batch Size: 1 - Model: ResNet-152", Higher Results Are Better "a",10.197343276682,10.005419327136,10.278976610773 "b",10.425778155777 "PyTorch 2.1 - Device: CPU - Batch Size: 16 - Model: ResNet-50", Higher Results Are Better "a",21.57828128167,21.184737407915,20.705549444054 "b",21.568657551067 "PyTorch 2.1 - Device: CPU - Batch Size: 32 - Model: ResNet-50", Higher Results Are Better "a",20.62300121614,21.30672839213,21.062798223827 "b",21.086744768472 "PyTorch 2.1 - Device: CPU - Batch Size: 16 - Model: ResNet-152", Higher Results Are Better "a",8.7936003567223,9.1339069187599,8.8558221440011 "b",8.9688170775211 "PyTorch 2.1 - Device: CPU - Batch Size: 256 - Model: ResNet-50", Higher Results Are Better "a",21.839725183316,20.777751765578,21.265639946261 "b",20.600113084058 "PyTorch 2.1 - Device: CPU - Batch Size: 32 - Model: ResNet-152", Higher Results Are Better "a",8.8660853558746,9.0901860394155,8.7558002888383 "b",8.9755999797691 "PyTorch 2.1 - Device: CPU - Batch Size: 256 - Model: ResNet-152", Higher Results Are Better "a",9.0552304796816,8.8741798414716,8.9558165381936 "b",9.6464543554092 "PyTorch 2.1 - Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l", Higher Results Are Better "a",6.3572734833175,6.4980861829139,6.3498993602382 "b",6.7411110615353 "PyTorch 2.1 - Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l", Higher Results Are Better "a",2.3137518258096,2.3062750815942,2.3253610931761 "b",2.3370278913657 "PyTorch 2.1 - Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l", Higher Results Are Better "a",2.3118349186322,2.339523486336,2.3226368093599 "b",2.3182359991552 "PyTorch 2.1 - Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l", Higher Results Are Better "a",2.3194504641929,2.3159898914691,2.3140494520005 "b",2.2841166879203 "SVT-AV1 1.8 - Encoder Mode: Preset 4 - Input: Bosphorus 4K", Higher Results Are Better "a",8.316,8.173,8.256 "b", "SVT-AV1 1.8 - Encoder Mode: Preset 8 - Input: Bosphorus 4K", Higher Results Are Better "a",86.63,86.571,86.102 "b", "SVT-AV1 1.8 - Encoder Mode: Preset 12 - Input: Bosphorus 4K", Higher Results Are Better "a",177.423,177.535,181.773 "b", "SVT-AV1 1.8 - Encoder Mode: Preset 13 - Input: Bosphorus 4K", Higher Results Are Better "a",164.52,164.759,173.235,180.568,174.582,181.772,181.375,184.741,177.95,175.01,180.112,180.778,180.563,180.456,169.625 "b", "SVT-AV1 1.8 - Encoder Mode: Preset 4 - Input: Bosphorus 1080p", Higher Results Are Better "a",21.657,21.414,21.201 "b", "SVT-AV1 1.8 - Encoder Mode: Preset 8 - Input: Bosphorus 1080p", Higher Results Are Better "a",161.768,168.238,165.307 "b", "SVT-AV1 1.8 - Encoder Mode: Preset 12 - Input: Bosphorus 1080p", Higher Results Are Better "a",569.282,572.325,574.018 "b", "SVT-AV1 1.8 - Encoder Mode: Preset 13 - Input: Bosphorus 1080p", Higher Results Are Better "a",620.738,635.632,651.059 "b", "WebP2 Image Encode 20220823 - Encode Settings: Default", Higher Results Are Better "a",9.5731950538492,9.3203883495146,9.550338241146 "b",9.6346848655159 "WebP2 Image Encode 20220823 - Encode Settings: Quality 75, Compression Effort 7", Higher Results Are Better "a",0.82761474533605,0.82927334922774,0.82477061067391 "b",0.82301704331127 "WebP2 Image Encode 20220823 - Encode Settings: Quality 95, Compression Effort 7", Higher Results Are Better "a",0.45462294709326,0.45252281469191,0.45527838376174 "b",0.45342049082768 "WebP2 Image Encode 20220823 - Encode Settings: Quality 100, Compression Effort 5", Higher Results Are Better "a",6.4550833781603,6.5915957154628,6.4759848893686 "b",6.2843676355067 "WebP2 Image Encode 20220823 - Encode Settings: Quality 100, Lossless Compression", Higher Results Are Better "a",0.10671884032194,0.1105069043793,0.10723141880571 "b",0.10544120554445 "Xmrig 6.21 - Variant: KawPow - Hash Count: 1M", Higher Results Are Better "a",123487.3,123456.8,123731.7 "b", "Xmrig 6.21 - Variant: Monero - Hash Count: 1M", Higher Results Are Better "a",124146.5,123092.1,122819.9 "b", "Xmrig 6.21 - Variant: Wownero - Hash Count: 1M", Higher Results Are Better "a",132362.7,130327.1,130736 "b", "Xmrig 6.21 - Variant: GhostRider - Hash Count: 1M", Higher Results Are Better "a",31825.8,31847.1,31906.1 "b", "Xmrig 6.21 - Variant: CryptoNight-Heavy - Hash Count: 1M", Higher Results Are Better "a",123001.2,123016.4,123107.2 "b", "Xmrig 6.21 - Variant: CryptoNight-Femto UPX2 - Hash Count: 1M", Higher Results Are Better "a",123001.2,123640,122955.9 "b",