AMD Ryzen 9 7950X 16-Core testing with a ASUS ROG CROSSHAIR X670E HERO (0703 BIOS) and AMD Radeon RX 6800/6800 XT / 6900 on Ubuntu 22.10 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 2210132-PTS-NEWTESTS88
new tests thurs,
"PostgreSQL 15 - Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average Latency",
Lower Results Are Better
"A",5.379,5.848,6.258,6.308,6.375,6.357,6.338,6.362,6.386,6.356,6.344,6.37
"B",
"C",
"PostgreSQL 15 - Scaling Factor: 100 - Clients: 100 - Mode: Read Write",
Higher Results Are Better
"A",18589.409656,17098.967839,15980.722219,15852.056812,15685.444893,15730.452666,15778.472383,15718.040213,15659.808661,15731.986599,15763.211883,15699.493598
"B",16297.672156
"C",18135.59957
"PostgreSQL 15 - Scaling Factor: 100 - Clients: 50 - Mode: Read Write - Average Latency",
Lower Results Are Better
"A",1.5,1.487,2.261,2.607,2.569,2.566,2.55,2.82,2.583,2.495,2.463,2.883
"B",
"C",
"PostgreSQL 15 - Scaling Factor: 100 - Clients: 50 - Mode: Read Write",
Higher Results Are Better
"A",33322.604182,33635.264601,22116.424451,19182.746666,19461.261397,19484.371958,19611.636492,17728.356658,19360.928767,20039.108012,20299.98547,17340.887827
"B",13633.621109
"C",13306.539181
"PostgreSQL 15 - Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average Latency",
Lower Results Are Better
"A",0.015,0.016,0.016,0.017,0.015,0.018,0.016,0.017,0.015,0.016,0.017,0.016
"B",
"C",
"PostgreSQL 15 - Scaling Factor: 1 - Clients: 1 - Mode: Read Only",
Higher Results Are Better
"A",68860.182341,63650.98718,63651.484491,58603.876947,65061.06814,56722.248822,64012.991788,58916.371953,67885.525265,62864.103322,59869.44701,63105.25039
"B",63853.860355
"C",64067.431853
"PostgreSQL 15 - Scaling Factor: 100 - Clients: 1 - Mode: Read Only - Average Latency",
Lower Results Are Better
"A",0.017,0.017,0.017
"B",
"C",
"PostgreSQL 15 - Scaling Factor: 100 - Clients: 1 - Mode: Read Only",
Higher Results Are Better
"A",58374.569339,58315.977779,60484.462707
"B",59808.186978
"C",55784.11779
"PostgreSQL 15 - Scaling Factor: 100 - Clients: 50 - Mode: Read Only - Average Latency",
Lower Results Are Better
"A",0.056,0.057,0.057
"B",
"C",
"PostgreSQL 15 - Scaling Factor: 100 - Clients: 50 - Mode: Read Only",
Higher Results Are Better
"A",891871.159646,879213.916228,879531.839501
"B",888448.364911
"C",881737.227834
"PostgreSQL 15 - Scaling Factor: 100 - Clients: 1 - Mode: Read Write - Average Latency",
Lower Results Are Better
"A",0.517,0.527,0.529
"B",
"C",
"PostgreSQL 15 - Scaling Factor: 100 - Clients: 1 - Mode: Read Write",
Higher Results Are Better
"A",1935.733943,1898.033433,1889.397232
"B",1938.345353
"C",1770.024749
"PostgreSQL 15 - Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average Latency",
Lower Results Are Better
"A",0.115,0.114,0.114
"B",
"C",
"PostgreSQL 15 - Scaling Factor: 100 - Clients: 100 - Mode: Read Only",
Higher Results Are Better
"A",869294.080354,878402.437329,878501.231989
"B",876998.927935
"C",881659.516815
"PostgreSQL 15 - Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average Latency",
Lower Results Are Better
"A",56.08,56.247,55.944
"B",
"C",
"PostgreSQL 15 - Scaling Factor: 1 - Clients: 100 - Mode: Read Write",
Higher Results Are Better
"A",1783.177287,1777.879807,1787.501245
"B",1774.080755
"C",1767.404119
"PostgreSQL 15 - Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average Latency",
Lower Results Are Better
"A",0.493,0.494,0.496
"B",
"C",
"PostgreSQL 15 - Scaling Factor: 1 - Clients: 1 - Mode: Read Write",
Higher Results Are Better
"A",2027.83906,2024.623518,2016.64036
"B",1839.792892
"C",1780.291735
"PostgreSQL 15 - Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average Latency",
Lower Results Are Better
"A",25.657,25.684,25.678
"B",
"C",
"PostgreSQL 15 - Scaling Factor: 1 - Clients: 50 - Mode: Read Write",
Higher Results Are Better
"A",1948.801957,1946.752861,1947.18393
"B",1945.548067
"C",1864.711416
"PostgreSQL 15 - Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latency",
Lower Results Are Better
"A",0.054,0.055,0.054
"B",
"C",
"PostgreSQL 15 - Scaling Factor: 1 - Clients: 50 - Mode: Read Only",
Higher Results Are Better
"A",922424.125957,913548.770959,925483.483916
"B",920815.688282
"C",923688.369793
"PostgreSQL 15 - Scaling Factor: 1 - Clients: 100 - Mode: Read Only - Average Latency",
Lower Results Are Better
"A",0.11,0.11,0.109
"B",
"C",
"PostgreSQL 15 - Scaling Factor: 1 - Clients: 100 - Mode: Read Only",
Higher Results Are Better
"A",913052.142258,911368.397293,914290.870194
"B",906852.70799
"C",917911.871775
"Neural Magic DeepSparse 1.1 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"A",637.4729,639.0352,640.1842
"B",
"C",
"Neural Magic DeepSparse 1.1 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"A",12.4761,12.4457,12.4347
"B",
"C",
"Neural Magic DeepSparse 1.1 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"A",642.0537,643.0917,643.4087
"B",
"C",
"Neural Magic DeepSparse 1.1 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"A",12.3982,12.3828,12.373
"B",
"C",
"Neural Magic DeepSparse 1.1 - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"A",83.8553,84.0965,84.1231
"B",
"C",
"Neural Magic DeepSparse 1.1 - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"A",95.3878,95.1135,95.0842
"B",
"C",
"Neural Magic DeepSparse 1.1 - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream",
Lower Results Are Better
"A",16.9347,16.8387,16.7514
"B",
"C",
"Neural Magic DeepSparse 1.1 - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream",
Higher Results Are Better
"A",59.0367,59.3735,59.6813
"B",
"C",
"Neural Magic DeepSparse 1.1 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream",
Lower Results Are Better
"A",86.8734,86.9968,87.02
"B",
"C",
"Neural Magic DeepSparse 1.1 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream",
Higher Results Are Better
"A",11.5105,11.4941,11.4911
"B",
"C",
"Neural Magic DeepSparse 1.1 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream",
Lower Results Are Better
"A",86.7555,86.9852,86.8431
"B",
"C",
"Neural Magic DeepSparse 1.1 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream",
Higher Results Are Better
"A",11.5261,11.4957,11.5145
"B",
"C",
"Neural Magic DeepSparse 1.1 - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"A",81.4137,81.6267,81.6121
"B",
"C",
"Neural Magic DeepSparse 1.1 - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"A",98.231,97.9764,97.9941
"B",
"C",
"Neural Magic DeepSparse 1.1 - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream",
Lower Results Are Better
"A",15.6684,15.6926,15.659
"B",
"C",
"Neural Magic DeepSparse 1.1 - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream",
Higher Results Are Better
"A",63.7993,63.7012,63.8401
"B",
"C",
"Neural Magic DeepSparse 1.1 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"A",43.792,43.8825,43.8119
"B",
"C",
"Neural Magic DeepSparse 1.1 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"A",182.6307,182.2512,182.545
"B",
"C",
"Neural Magic DeepSparse 1.1 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream",
Lower Results Are Better
"A",9.1485,8.9769,8.9737
"B",
"C",
"Neural Magic DeepSparse 1.1 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream",
Higher Results Are Better
"A",109.2585,111.3467,111.3876
"B",
"C",
"Neural Magic DeepSparse 1.1 - Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"A",73.6491,72.9712,73.7664
"B",
"C",
"Neural Magic DeepSparse 1.1 - Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"A",108.5987,109.5582,108.4176
"B",
"C",
"Neural Magic DeepSparse 1.1 - Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream",
Lower Results Are Better
"A",10.5332,10.5447,10.5448
"B",
"C",
"Neural Magic DeepSparse 1.1 - Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream",
Higher Results Are Better
"A",94.8659,94.7678,94.7642
"B",
"C",
"Neural Magic DeepSparse 1.1 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"A",27.2976,27.3714,27.3927
"B",
"C",
"Neural Magic DeepSparse 1.1 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"A",292.9374,292.1467,291.9239
"B",
"C",
"Neural Magic DeepSparse 1.1 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream",
Lower Results Are Better
"A",4.9995,5.004,5.0244
"B",
"C",
"Neural Magic DeepSparse 1.1 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream",
Higher Results Are Better
"A",199.8333,199.6707,198.8339
"B",
"C",