ds

AMD Ryzen 9 7950X 16-Core testing with a ASUS ROG STRIX X670E-E GAMING WIFI (1416 BIOS) and NVIDIA NV174 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 2312110-PTS-DS58174320
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a
December 11 2023
  1 Hour, 39 Minutes
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December 11 2023
  1 Hour, 39 Minutes
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December 12 2023
  1 Hour, 39 Minutes
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December 12 2023
  1 Hour, 39 Minutes
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ds, "Neural Magic DeepSparse 1.6 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a",22.6846,22.7645,22.7676 "b",22.7135,22.6293,22.7269 "c",22.7997,22.753,22.5473 "d",22.6723,22.5762,22.6043 "Neural Magic DeepSparse 1.6 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a",350.9584,350.4329,350.8564 "b",351.3935,351.7198,351.5543 "c",350.1791,351.2736,352.7505 "d",352.097,352.7679,352.5853 "Neural Magic DeepSparse 1.6 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream", Higher Results Are Better "a",19.5746,19.5274,19.6035 "b",19.5376,19.5525,19.5273 "c",19.5633,19.5162,19.5567 "d",19.5627,19.5614,19.5794 "Neural Magic DeepSparse 1.6 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream", Lower Results Are Better "a",51.0794,51.2028,51.0043 "b",51.1718,51.1338,51.2014 "c",51.1073,51.2314,51.1266 "d",51.1109,51.113,51.0675 "Neural Magic DeepSparse 1.6 - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a",984.1515,983.3136,982.4727 "b",987.2386,987.3748,990.281 "c",985.7839,985.2779,988.9688 "d",986.179,985.7603,990.2881 "Neural Magic DeepSparse 1.6 - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a",8.1175,8.1245,8.131 "b",8.0921,8.0911,8.0672 "c",8.1039,8.1072,8.0778 "d",8.1011,8.1041,8.0673 "Neural Magic DeepSparse 1.6 - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream", Higher Results Are Better "a",300.3821,300.1176,299.2279 "b",301.2081,300.7951,302.539 "c",302.5028,299.1287,301.8899 "d",302.0996,301.0282,301.8174 "Neural Magic DeepSparse 1.6 - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream", Lower Results Are Better "a",3.3262,3.3288,3.3386 "b",3.3171,3.3214,3.3029 "c",3.3025,3.3399,3.3095 "d",3.307,3.3189,3.3098 "Neural Magic DeepSparse 1.6 - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a",295.9585,296.2524,295.9024 "b",295.4763,295.3319,295.7548 "c",295.9081,295.4251,295.8522 "d",295.1507,295.4921,295.3637 "Neural Magic DeepSparse 1.6 - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a",27.0145,26.9939,27.019 "b",27.064,27.0722,27.0359 "c",27.0252,27.0661,27.0244 "d",27.091,27.0576,27.0741 "Neural Magic DeepSparse 1.6 - Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream", Higher Results Are Better "a",198.6271,195.822,196.7904 "b",198.6784,199.942,196.8133 "c",198.3096,198.2149,198.2191 "d",199.0536,198.1057,197.9268 "Neural Magic DeepSparse 1.6 - Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream", Lower Results Are Better "a",5.0273,5.0992,5.0744 "b",5.0267,4.9955,5.0739 "c",5.0364,5.0384,5.0397 "d",5.0185,5.0417,5.0467 "Neural Magic DeepSparse 1.6 - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a",2313.1872,2317.4794,2312.0151 "b",2323.5434,2301.5912,2321.4374 "c",2325.4815,2315.0701,2311.215 "d",2284.7622,2309.3113,2285.6705 "Neural Magic DeepSparse 1.6 - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a",3.4481,3.4431,3.4502 "b",3.432,3.4654,3.4353 "c",3.4296,3.4452,3.4511 "d",3.491,3.4536,3.4895 "Neural Magic DeepSparse 1.6 - Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream", Higher Results Are Better "a",1308.896,1304.4163,1274.111 "b",1297.471,1281.9753,1306.2468 "c",1310.8728,1309.3409,1306.0873 "d",1299.3731,1298.7379,1299.1616 "Neural Magic DeepSparse 1.6 - Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream", Lower Results Are Better "a",0.7618,0.7644,0.7824 "b",0.7683,0.7775,0.7637 "c",0.7608,0.7615,0.7636 "d",0.7671,0.7675,0.7671 "Neural Magic DeepSparse 1.6 - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a",126.9585,127.2545,128.9247 "b",127.37,128.1411,126.2275 "c",128.2739,128.0894,126.0353 "d",128.4997,127.8365,127.7146 "Neural Magic DeepSparse 1.6 - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a",62.9989,62.8538,62.0336 "b",62.7979,62.4158,63.3668 "c",62.3152,62.4181,63.4637 "d",62.2383,62.5665,62.6024 "Neural Magic DeepSparse 1.6 - Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream", Higher Results Are Better "a",101.9533,101.7457,101.8994 "b",101.7841,101.8593,101.6582 "c",101.8406,101.8522,101.9595 "d",101.3772,101.2137,101.8498 "Neural Magic DeepSparse 1.6 - Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream", Lower Results Are Better "a",9.7993,9.819,9.8046 "b",9.8168,9.8094,9.8277 "c",9.8112,9.8093,9.7998 "d",9.8545,9.8712,9.8103 "Neural Magic DeepSparse 1.6 - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a",29.3632,29.3259,29.366 "b",29.4032,29.3842,29.3807 "c",29.3977,29.4152,29.3778 "d",29.3737,29.3438,29.3598 "Neural Magic DeepSparse 1.6 - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a",272.1906,272.1568,272.1522 "b",271.7218,271.8669,272.1541 "c",271.8236,271.6,271.9104 "d",272.0202,272.3142,272.1236 "Neural Magic DeepSparse 1.6 - Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream", Higher Results Are Better "a",21.1373,21.0996,21.1469 "b",21.0966,21.1027,21.2208 "c",21.1369,21.1612,21.0926 "d",21.2497,21.243,21.2302 "Neural Magic DeepSparse 1.6 - Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream", Lower Results Are Better "a",47.2994,47.3866,47.2781 "b",47.3932,47.3788,47.1149 "c",47.301,47.2473,47.4013 "d",47.0493,47.0639,47.0921 "Neural Magic DeepSparse 1.6 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a",295.8761,296.4618,295.7586 "b",296.1901,295.6178,295.4739 "c",294.7103,295.4926,295.507 "d",296.1841,295.6588,294.8763 "Neural Magic DeepSparse 1.6 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a",27.0213,26.9721,27.0386 "b",26.9954,27.0482,27.0595 "c",27.1272,27.0539,27.0615 "d",26.997,27.0487,27.1161 "Neural Magic DeepSparse 1.6 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream", Higher Results Are Better "a",198.7423,199.1122,198.8357 "b",198.0516,199.0618,198.2386 "c",198.9477,198.9154,198.4329 "d",198.7031,198.3499,199.8507 "Neural Magic DeepSparse 1.6 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream", Lower Results Are Better "a",5.0252,5.0162,5.0236 "b",5.0432,5.0178,5.0383 "c",5.0196,5.0217,5.0336 "d",5.026,5.0361,4.9974 "Neural Magic DeepSparse 1.6 - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a",133.4611,133.0641,134.0876 "b",132.6387,132.5265,134.3468 "c",132.7641,131.2113,132.0998 "d",131.8808,133.3659,132.5332 "Neural Magic DeepSparse 1.6 - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a",59.9,60.0661,59.6262 "b",60.2828,60.3066,59.4956 "c",60.2342,60.9457,60.5401 "d",60.6457,59.9213,60.3167 "Neural Magic DeepSparse 1.6 - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream", Higher Results Are Better "a",103.2177,103.2327,103.049 "b",103.2808,103.1074,103.1023 "c",103.3175,103.3231,103.3098 "d",103.334,103.404,102.9604 "Neural Magic DeepSparse 1.6 - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream", Lower Results Are Better "a",9.6824,9.6807,9.698 "b",9.6771,9.6937,9.694 "c",9.6738,9.6728,9.6742 "d",9.6716,9.6654,9.7056 "Neural Magic DeepSparse 1.6 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a",203.894,203.7527,204.2531 "b",203.5749,203.3721,203.5209 "c",204.4049,203.6936,203.6571 "d",203.198,203.6539,204.0061 "Neural Magic DeepSparse 1.6 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a",39.2249,39.2443,39.1504 "b",39.274,39.313,39.2952 "c",39.127,39.2531,39.2691 "d",39.3609,39.272,39.2019 "Neural Magic DeepSparse 1.6 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream", Higher Results Are Better "a",117.0341,116.2105,115.8573 "b",115.2007,116.5705,117.9736 "c",115.0276,117.5702,117.5431 "d",118.0318,116.5277,117.2119 "Neural Magic DeepSparse 1.6 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream", Lower Results Are Better "a",8.5395,8.5997,8.626 "b",8.6756,8.5731,8.4701 "c",8.6879,8.5004,8.5009 "d",8.4671,8.5764,8.5267 "Neural Magic DeepSparse 1.6 - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a",38.9853,39.1125,38.8526 "b",38.197,39.4467,38.9664 "c",39.1705,39.0037,38.9542 "d",39.2867,39.2234,38.8815 "Neural Magic DeepSparse 1.6 - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a",204.4435,204.3272,205.8008 "b",208.8524,202.778,205.169 "c",203.9457,204.9693,204.8116 "d",203.4957,203.7062,205.4595 "Neural Magic DeepSparse 1.6 - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream", Higher Results Are Better "a",32.3675,32.3179,32.4811 "b",32.4051,32.4519,32.3997 "c",32.3737,32.4096,32.4233 "d",32.477,32.3509,32.3883 "Neural Magic DeepSparse 1.6 - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream", Lower Results Are Better "a",30.8812,30.929,30.7737 "b",30.8457,30.8014,30.8508 "c",30.8755,30.841,30.8287 "d",30.7786,30.898,30.862 "Neural Magic DeepSparse 1.6 - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a",462.7008,462.5939,461.9612 "b",462.6701,461.9376,463.4329 "c",461.983,460.8662,461.754 "d",462.0994,463.1026,462.0202 "Neural Magic DeepSparse 1.6 - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a",17.2768,17.2817,17.3048 "b",17.2788,17.3044,17.2505 "c",17.3027,17.3421,17.3118 "d",17.3005,17.2612,17.3029 "Neural Magic DeepSparse 1.6 - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream", Higher Results Are Better "a",110.2677,111.4512,110.1495 "b",111.9039,109.0837,109.1067 "c",110.4885,109.8993,109.7772 "d",108.9346,111.3567,111.1954 "Neural Magic DeepSparse 1.6 - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream", Lower Results Are Better "a",9.0595,8.9635,9.0691 "b",8.9285,9.157,9.1552 "c",9.0416,9.0899,9.0994 "d",9.1692,8.9712,8.9838 "Neural Magic DeepSparse 1.6 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a",22.8065,22.8514,22.6198 "b",22.6767,22.7178,22.7633 "c",22.7288,22.6613,22.665 "d",22.7043,22.7258,22.6986 "Neural Magic DeepSparse 1.6 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a",350.4533,347.8423,351.6315 "b",351.9591,351.3935,351.1702 "c",351.2828,351.3947,351.6518 "d",351.7417,351.3129,351.169 "Neural Magic DeepSparse 1.6 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream", Higher Results Are Better "a",19.5362,19.5575,19.5315 "b",19.5065,19.5303,19.5507 "c",19.5422,19.4811,19.5691 "d",19.5224,19.5516,19.4552 "Neural Magic DeepSparse 1.6 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream", Lower Results Are Better "a",51.18,51.1241,51.1926 "b",51.258,51.1947,51.1397 "c",51.1643,51.3232,51.0922 "d",51.2179,51.1415,51.3948