AMD Ryzen Threadripper 3990X 64-Core testing with a Gigabyte TRX40 AORUS PRO WIFI (F6 BIOS) and AMD Radeon RX 5700 8GB 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 2312122-PTS-SDFA911983
sdfa,
"Apache Spark TPC-H 3.5 - Scale Factor: 1 - Geometric Mean Of All Queries",
Lower Results Are Better
"a",2.1465489,2.19811918,2.26673205,2.20174922
"b",
"c",2.24777642,2.23523948,2.22816142
"d",2.21461931,2.1897284,2.26634567
"Apache Spark TPC-H 3.5 - Scale Factor: 1 - Q01",
Lower Results Are Better
"a",4.65964603,4.81567621,4.51516008,4.78999138
"b",
"c",4.91843891,4.86660433,4.73598003
"d",4.82462835,4.99870062,4.71536064
"Apache Spark TPC-H 3.5 - Scale Factor: 1 - Q02",
Lower Results Are Better
"a",2.13263106,2.32933784,2.09872913,2.23596239
"b",
"c",2.13002658,2.29102445,2.41435194
"d",2.3734529,2.12858224,2.32335091
"Apache Spark TPC-H 3.5 - Scale Factor: 1 - Q03",
Lower Results Are Better
"a",3.22697234,3.10970378,3.09113622,3.207798
"b",
"c",3.23614097,3.36560535,3.4349606
"d",3.13310146,3.23404431,3.0962739
"Apache Spark TPC-H 3.5 - Scale Factor: 1 - Q04",
Lower Results Are Better
"a",2.99239373,2.91328359,3.01544642,2.91993189
"b",
"c",2.84785295,2.94765353,3.03735137
"d",2.84556651,3.03779674,2.69231796
"Apache Spark TPC-H 3.5 - Scale Factor: 1 - Q05",
Lower Results Are Better
"a",3.33683753,3.4742949,3.40444684,3.63069296
"b",
"c",3.46621537,3.41304827,3.69329596
"d",3.29795384,3.2012682,3.43063903
"Apache Spark TPC-H 3.5 - Scale Factor: 1 - Q06",
Lower Results Are Better
"a",0.70322645,0.8365047,0.70958441,0.78551453
"b",
"c",0.69950783,0.72786486,0.70510399
"d",0.72545367,0.72354478,0.7788735
"Apache Spark TPC-H 3.5 - Scale Factor: 1 - Q07",
Lower Results Are Better
"a",3.14965582,2.95912313,3.27616286,3.26691818
"b",
"c",3.43486547,2.97910714,3.1389339
"d",3.19078898,3.31537533,3.25373697
"Apache Spark TPC-H 3.5 - Scale Factor: 1 - Q08",
Lower Results Are Better
"a",2.25302291,2.23539543,2.3117888,2.36344361
"b",
"c",2.45699072,2.22926188,2.38714504
"d",2.11579394,2.19600296,2.36409521
"Apache Spark TPC-H 3.5 - Scale Factor: 1 - Q09",
Lower Results Are Better
"a",4.12520075,4.76241827,4.40223074,4.31377983
"b",
"c",4.28670025,4.54720402,4.15511227
"d",4.5692749,4.2475667,4.85933352
"Apache Spark TPC-H 3.5 - Scale Factor: 1 - Q10",
Lower Results Are Better
"a",2.70316005,2.84391665,2.92521906,2.87930179
"b",
"c",2.97584844,3.09837127,3.01321101
"d",3.06723905,3.14660645,3.2124722
"Apache Spark TPC-H 3.5 - Scale Factor: 1 - Q11",
Lower Results Are Better
"a",1.17798221,1.45788622,1.4331013,1.16502452
"b",
"c",1.09089518,1.58401871,1.19431412
"d",1.1676122,1.1977222,1.51037967
"Apache Spark TPC-H 3.5 - Scale Factor: 1 - Q12",
Lower Results Are Better
"a",1.99285448,1.97212625,2.59907055,2.03543949
"b",
"c",2.08287001,1.95101726,2.08729887
"d",2.06046343,2.03306103,2.11510801
"Apache Spark TPC-H 3.5 - Scale Factor: 1 - Q13",
Lower Results Are Better
"a",1.40023458,1.29692638,1.45843959,1.44674599
"b",
"c",1.33347821,1.36883283,1.49743938
"d",1.3972615,1.34260488,1.43690014
"Apache Spark TPC-H 3.5 - Scale Factor: 1 - Q14",
Lower Results Are Better
"a",1.76083934,1.85210121,1.79411733,1.92220354
"b",
"c",1.85846376,1.82587683,1.83075738
"d",1.86487198,1.78391385,1.84778833
"Apache Spark TPC-H 3.5 - Scale Factor: 1 - Q15",
Lower Results Are Better
"a",1.90659571,2.03787708,2.0948329,1.9403578
"b",
"c",2.55478859,1.95469546,1.92142916
"d",2.16307974,2.45482087,2.21357131
"Apache Spark TPC-H 3.5 - Scale Factor: 1 - Q16",
Lower Results Are Better
"a",1.43535054,1.39402473,1.43365324,1.44622314
"b",
"c",1.54400659,1.3761903,1.56326592
"d",1.47196066,1.63220823,1.51369572
"Apache Spark TPC-H 3.5 - Scale Factor: 1 - Q17",
Lower Results Are Better
"a",2.62492013,2.63111782,2.70912957,2.68252134
"b",
"c",2.5480113,2.60572767,2.60207319
"d",2.63293219,2.51595712,2.58430219
"Apache Spark TPC-H 3.5 - Scale Factor: 1 - Q18",
Lower Results Are Better
"a",3.89608693,3.88567543,3.92109156,4.31203604
"b",
"c",3.79392385,4.07491112,4.11088705
"d",4.07817698,3.62964511,3.89981198
"Apache Spark TPC-H 3.5 - Scale Factor: 1 - Q19",
Lower Results Are Better
"a",0.99407017,1.10595596,0.99628633,1.01756907
"b",
"c",1.31748211,1.05536401,1.2522912
"d",1.03184462,0.9749198,0.97631019
"Apache Spark TPC-H 3.5 - Scale Factor: 1 - Q20",
Lower Results Are Better
"a",2.96114373,2.53804326,2.86293459,2.66008544
"b",
"c",2.76260114,2.98613572,2.50980783
"d",2.99599361,2.50390458,2.74403167
"Apache Spark TPC-H 3.5 - Scale Factor: 1 - Q21",
Lower Results Are Better
"a",7.17807817,7.45341349,7.56079865,7.38792849
"b",
"c",7.24589586,7.48367167,7.65636015
"d",7.41086721,7.70355368,7.10878563
"Apache Spark TPC-H 3.5 - Scale Factor: 1 - Q22",
Lower Results Are Better
"a",1.10064805,1.06361401,1.07348418,1.10234511
"b",
"c",1.06444919,1.0630343,1.04892623
"d",1.0383147,1.08335066,1.06175005
"Apache Spark TPC-H 3.5 - Scale Factor: 10 - Geometric Mean Of All Queries",
Lower Results Are Better
"a",8.18123807,8.165899,8.16558293
"b",
"c",8.02928508,8.21283674,8.09215542
"d",8.26375161,8.26647164,8.20679495
"Apache Spark TPC-H 3.5 - Scale Factor: 10 - Q01",
Lower Results Are Better
"a",8.82080555,8.62741375,8.58679295
"b",
"c",8.5843935,8.88254642,8.53350353
"d",8.72777176,8.835742,8.63343716
"Apache Spark TPC-H 3.5 - Scale Factor: 10 - Q02",
Lower Results Are Better
"a",4.81147289,4.90456629,4.83694649
"b",
"c",4.81976604,5.0341382,4.93300819
"d",4.75146198,4.84896135,4.78269958
"Apache Spark TPC-H 3.5 - Scale Factor: 10 - Q03",
Lower Results Are Better
"a",10.8007412,9.87356949,10.05789089
"b",
"c",9.86198997,10.76782608,10.16353703
"d",10.15395737,10.15352535,10.14925385
"Apache Spark TPC-H 3.5 - Scale Factor: 10 - Q04",
Lower Results Are Better
"a",9.04425526,8.67822361,8.18801022
"b",
"c",8.60837746,8.33568954,8.56966305
"d",8.36490917,8.19998932,8.4538517
"Apache Spark TPC-H 3.5 - Scale Factor: 10 - Q05",
Lower Results Are Better
"a",12.01728725,12.77485561,12.63607788
"b",
"c",12.29344177,13.32689953,12.36979675
"d",12.51160908,13.01708603,12.44116211
"Apache Spark TPC-H 3.5 - Scale Factor: 10 - Q06",
Lower Results Are Better
"a",4.37515068,4.48772192,4.34106827
"b",
"c",4.29348803,4.3215189,4.28607512
"d",4.31400681,4.42070389,4.36661816
"Apache Spark TPC-H 3.5 - Scale Factor: 10 - Q07",
Lower Results Are Better
"a",10.86040211,10.51708889,10.51607132
"b",
"c",10.51754856,10.6629858,10.67974377
"d",11.08524036,10.5732584,10.57774925
"Apache Spark TPC-H 3.5 - Scale Factor: 10 - Q08",
Lower Results Are Better
"a",10.75748539,11.01948261,11.20501423
"b",
"c",11.14501476,10.72402573,10.68910027
"d",10.85745716,10.92778778,10.66658592
"Apache Spark TPC-H 3.5 - Scale Factor: 10 - Q09",
Lower Results Are Better
"a",14.67381287,14.59425354,15.43024445
"b",
"c",14.76818657,14.95814323,14.73061371
"d",15.07946205,14.32062149,15.36284161
"Apache Spark TPC-H 3.5 - Scale Factor: 10 - Q10",
Lower Results Are Better
"a",10.18313026,10.10880184,10.50472355
"b",
"c",10.48410988,10.38602257,10.38900375
"d",10.33777332,10.35717487,10.38122082
"Apache Spark TPC-H 3.5 - Scale Factor: 10 - Q11",
Lower Results Are Better
"a",4.53325796,4.62413216,4.49055862
"b",
"c",4.43225193,4.37423706,4.36241388
"d",4.46213388,4.49203157,4.48755836
"Apache Spark TPC-H 3.5 - Scale Factor: 10 - Q12",
Lower Results Are Better
"a",8.07454681,7.94733763,8.08206558
"b",
"c",8.13893032,8.19808483,8.17646599
"d",8.16351891,7.99358797,8.12548637
"Apache Spark TPC-H 3.5 - Scale Factor: 10 - Q13",
Lower Results Are Better
"a",4.11434412,4.1829319,5.07397318
"b",
"c",3.99966288,4.09989119,4.1937561
"d",4.845716,4.88809061,4.10641098
"Apache Spark TPC-H 3.5 - Scale Factor: 10 - Q14",
Lower Results Are Better
"a",5.75197363,5.84588432,5.7906003
"b",
"c",5.80753756,5.91099644,5.86678839
"d",5.64575005,5.77346754,5.78645658
"Apache Spark TPC-H 3.5 - Scale Factor: 10 - Q15",
Lower Results Are Better
"a",5.90392065,5.79438543,5.81297684
"b",
"c",5.86738539,5.74702263,5.81623507
"d",5.77977085,5.94056606,5.84663105
"Apache Spark TPC-H 3.5 - Scale Factor: 10 - Q16",
Lower Results Are Better
"a",4.38978148,4.32215977,4.24957752
"b",
"c",4.34557056,4.10670614,4.07491255
"d",4.34211493,4.3506918,4.34523106
"Apache Spark TPC-H 3.5 - Scale Factor: 10 - Q17",
Lower Results Are Better
"a",12.46648312,12.26639938,12.6184597
"b",
"c",12.35551929,12.40295887,12.49733353
"d",12.28686333,12.24988842,12.66499901
"Apache Spark TPC-H 3.5 - Scale Factor: 10 - Q18",
Lower Results Are Better
"a",14.74137402,15.09397125,14.75135231
"b",
"c",15.81251526,14.92383194,17.60721397
"d",15.08660698,14.91708851,14.73017597
"Apache Spark TPC-H 3.5 - Scale Factor: 10 - Q19",
Lower Results Are Better
"a",7.78597975,7.86767054,5.99517584
"b",
"c",5.8822813,7.81020069,5.93736267
"d",7.98992634,8.0861578,8.00777626
"Apache Spark TPC-H 3.5 - Scale Factor: 10 - Q20",
Lower Results Are Better
"a",8.81523228,8.96317291,8.74642372
"b",
"c",8.88633728,8.91769123,8.93248558
"d",8.85211754,8.66031551,8.96114445
"Apache Spark TPC-H 3.5 - Scale Factor: 10 - Q21",
Lower Results Are Better
"a",28.87385941,29.31834793,29.75259399
"b",
"c",28.79035759,29.17166519,29.13900757
"d",28.58867645,29.27634621,28.85916138
"Apache Spark TPC-H 3.5 - Scale Factor: 10 - Q22",
Lower Results Are Better
"a",3.74616694,3.41789031,3.44352913
"b",
"c",3.42876387,4.05926371,3.61095715
"d",3.60736179,3.61669254,3.56642389
"Apache Spark TPC-H 3.5 - Scale Factor: 50 - Geometric Mean Of All Queries",
Lower Results Are Better
"a",27.90725436,28.15934382,27.86028651
"b",
"c",27.95893621,28.39412455,27.98352164
"d",27.83223965,28.34804776,28.19153938
"Apache Spark TPC-H 3.5 - Scale Factor: 50 - Q01",
Lower Results Are Better
"a",25.8898983,26.00421906,26.17292976
"b",
"c",26.03842354,25.82435989,26.14221573
"d",26.18393326,26.39916039,25.77402115
"Apache Spark TPC-H 3.5 - Scale Factor: 50 - Q02",
Lower Results Are Better
"a",10.72017479,10.59663868,10.13375378
"b",
"c",10.39692879,10.59756851,10.68834877
"d",10.21235466,10.61974525,10.49861717
"Apache Spark TPC-H 3.5 - Scale Factor: 50 - Q03",
Lower Results Are Better
"a",36.81731796,35.69110107,37.33507919
"b",
"c",37.32210922,36.96493149,36.88829803
"d",35.44104767,35.72402191,36.8109436
"Apache Spark TPC-H 3.5 - Scale Factor: 50 - Q04",
Lower Results Are Better
"a",30.21397591,31.08570862,30.45494843
"b",
"c",30.42856979,30.02017212,30.22150612
"d",29.79247665,31.13991737,30.73884392
"Apache Spark TPC-H 3.5 - Scale Factor: 50 - Q05",
Lower Results Are Better
"a",41.46962357,42.39758682,39.62907028
"b",
"c",38.33694077,38.49396896,42.2703743
"d",38.56529999,39.33585739,39.08264542
"Apache Spark TPC-H 3.5 - Scale Factor: 50 - Q06",
Lower Results Are Better
"a",20.43643761,20.36982346,20.33725739
"b",
"c",20.28932762,20.27368736,20.45949936
"d",20.34410095,20.51116943,20.29087067
"Apache Spark TPC-H 3.5 - Scale Factor: 50 - Q07",
Lower Results Are Better
"a",34.74398041,35.83242035,36.31524277
"b",
"c",35.24116898,35.69927979,35.42547226
"d",35.10668182,35.4902153,35.60425568
"Apache Spark TPC-H 3.5 - Scale Factor: 50 - Q08",
Lower Results Are Better
"a",37.26701355,38.88340759,38.927845
"b",
"c",37.7022934,37.75128555,37.96870422
"d",37.99198151,38.80706406,38.34321213
"Apache Spark TPC-H 3.5 - Scale Factor: 50 - Q09",
Lower Results Are Better
"a",46.55951691,47.26127243,46.87067413
"b",
"c",46.20890808,47.04953766,48.06687164
"d",46.53477859,47.0868454,47.36993408
"Apache Spark TPC-H 3.5 - Scale Factor: 50 - Q10",
Lower Results Are Better
"a",36.07969284,36.98225403,34.71617126
"b",
"c",37.49900055,36.49614716,36.46912384
"d",35.99481964,35.51629257,36.27363205
"Apache Spark TPC-H 3.5 - Scale Factor: 50 - Q11",
Lower Results Are Better
"a",9.39834976,8.95141125,8.83741093
"b",
"c",8.7694931,8.91027451,8.57805157
"d",9.12104225,8.72914505,9.20288086
"Apache Spark TPC-H 3.5 - Scale Factor: 50 - Q12",
Lower Results Are Better
"a",29.8189621,30.74160767,30.73060799
"b",
"c",30.77862358,30.12251663,31.75634575
"d",29.71832657,30.43286705,29.97421455
"Apache Spark TPC-H 3.5 - Scale Factor: 50 - Q13",
Lower Results Are Better
"a",12.31804562,12.41503429,12.2782774
"b",
"c",12.42370987,14.87308502,12.11266136
"d",12.1719532,14.62555504,14.2562294
"Apache Spark TPC-H 3.5 - Scale Factor: 50 - Q14",
Lower Results Are Better
"a",25.26137924,25.58348083,25.61629868
"b",
"c",25.39637566,25.47368431,25.49860382
"d",25.19966507,25.24460602,25.8270874
"Apache Spark TPC-H 3.5 - Scale Factor: 50 - Q15",
Lower Results Are Better
"a",22.97072983,23.10472488,23.0609684
"b",
"c",22.88928413,23.08165932,22.8682251
"d",23.01874161,23.04445267,22.94390869
"Apache Spark TPC-H 3.5 - Scale Factor: 50 - Q16",
Lower Results Are Better
"a",10.75781155,10.50260258,10.4992094
"b",
"c",10.97160721,10.92723656,10.57446575
"d",10.44956398,11.85923862,10.43332481
"Apache Spark TPC-H 3.5 - Scale Factor: 50 - Q17",
Lower Results Are Better
"a",55.45159149,55.64384842,55.73209381
"b",
"c",55.02508163,55.68019867,55.29759216
"d",56.23978424,54.38683701,55.63881683
"Apache Spark TPC-H 3.5 - Scale Factor: 50 - Q18",
Lower Results Are Better
"a",61.68613434,62.93209839,62.90748978
"b",
"c",62.38104248,62.46845245,62.04916763
"d",63.68491745,62.68426895,61.8317337
"Apache Spark TPC-H 3.5 - Scale Factor: 50 - Q19",
Lower Results Are Better
"a",24.70297623,24.53515244,24.91803932
"b",
"c",25.04519081,24.67115593,24.96707916
"d",24.72205925,24.85611725,25.50858498
"Apache Spark TPC-H 3.5 - Scale Factor: 50 - Q20",
Lower Results Are Better
"a",30.60608101,30.66943932,30.8475647
"b",
"c",30.51298141,30.59391594,31.26196098
"d",30.50747681,30.53287888,30.51308632
"Apache Spark TPC-H 3.5 - Scale Factor: 50 - Q21",
Lower Results Are Better
"a",131.31513977,130.91873169,130.36305237
"b",
"c",130.17529297,132.817276,131.27268982
"d",131.42127991,132.42396545,129.17312622
"Apache Spark TPC-H 3.5 - Scale Factor: 50 - Q22",
Lower Results Are Better
"a",10.58633614,11.1626091,10.27564621
"b",
"c",10.45192814,10.84426022,10.61382675
"d",10.31032276,10.29367828,10.19116211
"Apache Spark TPC-H 3.5 - Scale Factor: 100",
Lower Results Are Better
"a",
"b",
"c",
"d",
"Neural Magic DeepSparse 1.6 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"a",38.7757,38.0341,36.9783
"b",
"c",39.4413,38.0024,37.5312,37.0186,36.896,37.8176
"d",39.3837,38.6243,38.1485
"Neural Magic DeepSparse 1.6 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"a",815.5373,835.1759,860.0383
"b",
"c",805.8395,835.1822,848.3588,858.6041,859.737,840.3391
"d",804.7887,823.8929,831.6808
"Neural Magic DeepSparse 1.6 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream",
Higher Results Are Better
"a",13.9675,13.9445,13.7842
"b",
"c",13.9693,13.8067,13.868
"d",13.8415,13.9608,13.9038
"Neural Magic DeepSparse 1.6 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream",
Lower Results Are Better
"a",71.5813,71.6987,72.5324
"b",
"c",71.5722,72.4149,72.0949
"d",72.2324,71.616,71.9093
"Neural Magic DeepSparse 1.6 - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"a",982.8021,984.8782,973.6689
"b",
"c",990.6599,986.7128,988.0987
"d",991.3244,987.3965,988.4558
"Neural Magic DeepSparse 1.6 - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"a",32.5212,32.4568,32.8277
"b",
"c",32.2677,32.3969,32.3529
"d",32.2276,32.364,32.3409
"Neural Magic DeepSparse 1.6 - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream",
Higher Results Are Better
"a",128.3332,130.3802,130.3988
"b",
"c",135.8195,128.8438,130.657,133.0985
"d",134.9571,128.7821,135.3647,137.6345,135.2493
"Neural Magic DeepSparse 1.6 - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream",
Lower Results Are Better
"a",7.7885,7.6663,7.665
"b",
"c",7.3589,7.7576,7.6497,7.5093
"d",7.4056,7.761,7.3835,7.2619,7.3889
"Neural Magic DeepSparse 1.6 - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"a",444.6693,442.1463,437.5066
"b",
"c",447.4482,445.6312,442.4076
"d",443.6612,440.5575,439.9637
"Neural Magic DeepSparse 1.6 - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"a",71.8535,72.333,73.0714
"b",
"c",71.4393,71.7211,72.2668
"d",72.086,72.5943,72.6912
"Neural Magic DeepSparse 1.6 - Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream",
Higher Results Are Better
"a",103.7855,102.5645,104.3429
"b",
"c",106.1857,105.7418,106.1725
"d",104.978,104.5935,102.3657
"Neural Magic DeepSparse 1.6 - Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream",
Lower Results Are Better
"a",9.6253,9.7401,9.5732
"b",
"c",9.4078,9.4479,9.4088
"d",9.5155,9.5511,9.7587
"Neural Magic DeepSparse 1.6 - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"a",2583.4047,2548.1633,2534.7015
"b",
"c",2549.7525,2568.4496,2526.9292
"d",2565.5113,2550.7329,2513.0972
"Neural Magic DeepSparse 1.6 - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"a",12.353,12.5189,12.5885
"b",
"c",12.5125,12.4222,12.6249
"d",12.4391,12.51,12.6957
"Neural Magic DeepSparse 1.6 - Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream",
Higher Results Are Better
"a",623.7734,629.2373,630.2509
"b",
"c",575.8466,593.4589,604.4656
"d",617.4755,621.1455,622.1027
"Neural Magic DeepSparse 1.6 - Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream",
Lower Results Are Better
"a",1.5998,1.5859,1.5833
"b",
"c",1.7333,1.6817,1.651
"d",1.6163,1.6069,1.6039
"Neural Magic DeepSparse 1.6 - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"a",203.5408,202.8011,199.3972
"b",
"c",196.0178,200.6472,200.9835
"d",202.4758,203.8375,199.5198
"Neural Magic DeepSparse 1.6 - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"a",156.9733,157.4678,160.0222
"b",
"c",163.0011,158.9585,158.8743
"d",157.5138,156.7187,160.0871
"Neural Magic DeepSparse 1.6 - Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream",
Higher Results Are Better
"a",87.5311,85.6795,85.9202
"b",
"c",88.3642,87.2995,88.1281
"d",87.6903,87.6241,87.0817
"Neural Magic DeepSparse 1.6 - Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream",
Lower Results Are Better
"a",11.4082,11.6542,11.6208
"b",
"c",11.3021,11.4389,11.3318
"d",11.3875,11.3965,11.4675
"Neural Magic DeepSparse 1.6 - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"a",49.2695,49.2046,49.1799
"b",
"c",48.562,49.2733,49.4061
"d",48.9786,49.244,49.2836
"Neural Magic DeepSparse 1.6 - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"a",649.3563,650.1608,650.2874
"b",
"c",652.6449,649.0566,647.5636
"d",653.2123,649.6952,649.1717
"Neural Magic DeepSparse 1.6 - Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream",
Higher Results Are Better
"a",10.4929,10.9502,11.1368,11.16,11.2486,11.3532,11.3736,11.4202,11.4276,11.4654,11.4763,11.5767,11.5139,11.5101,11.5265
"b",
"c",11.9557,11.7837,11.7766
"d",11.9107,11.6573,11.6589
"Neural Magic DeepSparse 1.6 - Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream",
Lower Results Are Better
"a",95.2879,91.3077,89.7784,89.5921,88.8867,88.0665,87.9086,87.5502,87.4927,87.2048,87.1228,86.3671,86.8376,86.8668,86.7429
"b",
"c",83.6278,84.8484,84.9
"d",83.9447,85.7696,85.7573
"Neural Magic DeepSparse 1.6 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"a",450.8598,449.664,447.3998
"b",
"c",453.0995,452.0048,451.0161
"d",450.6252,452.3985,447.1556
"Neural Magic DeepSparse 1.6 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"a",70.9089,71.1227,71.484
"b",
"c",70.5581,70.7547,70.907
"d",70.9714,70.6573,71.5232
"Neural Magic DeepSparse 1.6 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream",
Higher Results Are Better
"a",106.2785,106.2839,106.7673
"b",
"c",107.5858,106.4597,107.2671
"d",106.0661,102.6163,104.1965
"Neural Magic DeepSparse 1.6 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream",
Lower Results Are Better
"a",9.3999,9.3991,9.3569
"b",
"c",9.2855,9.3843,9.3133
"d",9.4179,9.7349,9.5877
"Neural Magic DeepSparse 1.6 - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"a",216.7163,216.1332,214.6395
"b",
"c",216.6054,216.1289,216.4399
"d",215.2682,215.1484,215.4562
"Neural Magic DeepSparse 1.6 - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"a",147.3045,147.7607,148.8207
"b",
"c",147.2706,147.6814,147.5146
"d",148.19,148.403,148.2552
"Neural Magic DeepSparse 1.6 - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream",
Higher Results Are Better
"a",91.2348,91.7239,90.4708
"b",
"c",91.2254,90.8401,91.4041
"d",89.618,88.9641,90.1934
"Neural Magic DeepSparse 1.6 - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream",
Lower Results Are Better
"a",10.9523,10.8938,11.0445
"b",
"c",10.9542,11,10.9315
"d",11.1502,11.2328,11.0786
"Neural Magic DeepSparse 1.6 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"a",336.7255,335.13,336.7197
"b",
"c",338.6677,337.302,337.3741
"d",335.6313,336.4945,333.1646
"Neural Magic DeepSparse 1.6 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"a",94.9146,95.1789,94.9517
"b",
"c",94.4366,94.8194,94.7807
"d",95.2926,95.0474,95.9975
"Neural Magic DeepSparse 1.6 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream",
Higher Results Are Better
"a",56.8524,57.0073,56.511
"b",
"c",56.8042,57.3243,57.4095
"d",57.1563,56.9111,56.5122
"Neural Magic DeepSparse 1.6 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream",
Lower Results Are Better
"a",17.5782,17.5305,17.6848
"b",
"c",17.5928,17.4335,17.4074
"d",17.4844,17.5602,17.6838
"Neural Magic DeepSparse 1.6 - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"a",43.7773,43.0242,42.7704
"b",
"c",43.5569,43.0044,42.5749
"d",43.1499,43.0753,42.9455
"Neural Magic DeepSparse 1.6 - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"a",724.8468,738.5115,746.9635
"b",
"c",729.4442,740.2781,744.2109
"d",733.836,739.5762,740.145
"Neural Magic DeepSparse 1.6 - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream",
Higher Results Are Better
"a",17.2959,16.9906,16.937
"b",
"c",17.1601,16.9139,16.8854
"d",17.1247,17.0255,17.1131
"Neural Magic DeepSparse 1.6 - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream",
Lower Results Are Better
"a",57.7971,58.8348,59.0215
"b",
"c",58.2551,59.1015,59.2013
"d",58.375,58.7147,58.4137
"Neural Magic DeepSparse 1.6 - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"a",504.0102,503.5036,502.7259
"b",
"c",506.9669,506.0185,505.4137
"d",506.0788,504.3771,504.07
"Neural Magic DeepSparse 1.6 - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"a",63.4015,63.4663,63.5633
"b",
"c",63.0224,63.1433,63.2229
"d",63.1443,63.3516,63.3937
"Neural Magic DeepSparse 1.6 - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream",
Higher Results Are Better
"a",65.7794,63.5009,64.8413
"b",
"c",63.5386,65.1372,63.6704
"d",63.1385,65.1014,64.0127
"Neural Magic DeepSparse 1.6 - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream",
Lower Results Are Better
"a",15.1956,15.7417,15.4158
"b",
"c",15.7322,15.3461,15.6994
"d",15.8314,15.3545,15.6145
"Neural Magic DeepSparse 1.6 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"a",37.9252,37.7148,37.5653
"b",
"c",38.3943,37.8931,37.5265
"d",37.6341,37.294,37.432
"Neural Magic DeepSparse 1.6 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"a",837.2825,841.7156,845.2796
"b",
"c",824.5381,843.9667,842.9206
"d",840.2595,848.2697,847.8022
"Neural Magic DeepSparse 1.6 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream",
Higher Results Are Better
"a",14.2313,13.9396,14.0543
"b",
"c",14.3421,14.1227,13.8496
"d",14.0127,13.9408,14.0457
"Neural Magic DeepSparse 1.6 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream",
Lower Results Are Better
"a",70.2538,71.724,71.1391
"b",
"c",69.7114,70.7945,72.1907
"d",71.3499,71.718,71.1815