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
eps,
"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",
"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",
"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",
"OpenSSL - Algorithm: AES-256-GCM",
Higher Results Are Better
"a",
"b",
"OpenSSL - Algorithm: ChaCha20",
Higher Results Are Better
"a",
"b",
"OpenSSL - Algorithm: AES-128-GCM",
Higher Results Are Better
"a",
"b",
"OpenSSL - Algorithm: SHA256",
Higher Results Are Better
"a",282935898130,281564585390,281109203760
"b",
"OpenSSL - Algorithm: RSA4096",
Higher Results Are Better
"a",3246548.5,3242079.1,3244543.3
"b",
"OpenSSL - Algorithm: SHA512",
Higher Results Are Better
"a",91369558010,91519557260,92003661150
"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",
"OpenSSL - Algorithm: ChaCha20-Poly1305",
Higher Results Are Better
"a",
"b",
"OpenSSL - Algorithm: RSA4096",
Higher Results Are Better
"a",98728,98581.2,98556.9
"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",
"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",
"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: 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: 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: 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 - 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 - 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",