sdfa

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
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  Test
  Duration
a
December 11 2023
  22 Hours, 44 Minutes
b
December 12 2023
  7 Hours, 14 Minutes
c
December 12 2023
  21 Hours, 52 Minutes
d
December 12 2023
  21 Hours, 47 Minutes
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  18 Hours, 24 Minutes

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sdfa Suite 1.0.0 System Test suite extracted from sdfa. pts/deepsparse-1.6.0 zoo:cv/classification/resnet_v1-50/pytorch/sparseml/imagenet/pruned95_uniform_quant-none --scenario sync Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream pts/deepsparse-1.6.0 zoo:cv/segmentation/yolact-darknet53/pytorch/dbolya/coco/pruned90-none --scenario sync Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream pts/deepsparse-1.6.0 zoo:nlp/question_answering/obert-large/pytorch/huggingface/squad/base-none --input_shapes='[1,128]' --scenario sync Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream pts/spark-tpch-1.0.0 -s 10 Scale Factor: 10 - Geometric Mean Of All Queries pts/deepsparse-1.6.0 zoo:nlp/document_classification/obert-base/pytorch/huggingface/imdb/base-none --scenario async Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.6.0 zoo:nlp/text_classification/distilbert-none/pytorch/huggingface/mnli/base-none --scenario sync Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream pts/deepsparse-1.6.0 zoo:cv/detection/yolov5-s/pytorch/ultralytics/coco/base-none --scenario async Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.6.0 zoo:nlp/document_classification/obert-base/pytorch/huggingface/imdb/base-none --scenario sync Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream pts/deepsparse-1.6.0 zoo:cv/classification/resnet_v1-50/pytorch/sparseml/imagenet/pruned95_uniform_quant-none --scenario async Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.6.0 zoo:nlp/sentiment_analysis/oberta-base/pytorch/huggingface/sst2/pruned90_quant-none --input_shapes='[1,128]' --scenario sync Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream pts/deepsparse-1.6.0 zoo:cv/classification/resnet_v1-50/pytorch/sparseml/imagenet/base-none --scenario sync Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream pts/deepsparse-1.6.0 zoo:cv/classification/resnet_v1-50/pytorch/sparseml/imagenet/base-none --scenario sync Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream pts/deepsparse-1.6.0 zoo:nlp/token_classification/bert-base/pytorch/huggingface/conll2003/base-none --scenario sync Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream pts/deepsparse-1.6.0 zoo:cv/classification/resnet_v1-50/pytorch/sparseml/imagenet/base-none --scenario async Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.6.0 zoo:cv/detection/yolov5-s/pytorch/ultralytics/coco/base-none --scenario sync Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream pts/spark-tpch-1.0.0 -s 1 Scale Factor: 1 - Geometric Mean Of All Queries pts/deepsparse-1.6.0 zoo:cv/detection/yolov5-s/pytorch/ultralytics/coco/pruned85-none --scenario async Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.6.0 zoo:cv/segmentation/yolact-darknet53/pytorch/dbolya/coco/pruned90-none --scenario async Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.6.0 zoo:cv/detection/yolov5-s/pytorch/ultralytics/coco/pruned85-none --scenario sync Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream pts/deepsparse-1.6.0 zoo:nlp/sentiment_analysis/oberta-base/pytorch/huggingface/sst2/pruned90_quant-none --input_shapes='[1,128]' --scenario async Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.6.0 zoo:nlp/token_classification/bert-base/pytorch/huggingface/conll2003/base-none --scenario async Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream pts/spark-tpch-1.0.0 -s 50 Scale Factor: 50 - Geometric Mean Of All Queries pts/deepsparse-1.6.0 zoo:nlp/question_answering/obert-large/pytorch/huggingface/squad/pruned97_quant-none --input_shapes='[1,128]' --scenario async Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.6.0 zoo:nlp/question_answering/obert-large/pytorch/huggingface/squad/pruned97_quant-none --input_shapes='[1,128]' --scenario sync Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream pts/deepsparse-1.6.0 zoo:nlp/text_classification/distilbert-none/pytorch/huggingface/mnli/base-none --scenario async Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.6.0 zoo:cv/classification/resnet_v1-50/pytorch/sparseml/imagenet/base-none --scenario async Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.6.0 zoo:nlp/question_answering/obert-large/pytorch/huggingface/squad/base-none --input_shapes='[1,128]' --scenario async Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream pts/spark-tpch-1.0.0 -s 100 Scale Factor: 100 pts/spark-tpch-1.0.0 -s 50 Scale Factor: 50 - Q22 pts/spark-tpch-1.0.0 -s 50 Scale Factor: 50 - Q21 pts/spark-tpch-1.0.0 -s 50 Scale Factor: 50 - Q20 pts/spark-tpch-1.0.0 -s 50 Scale Factor: 50 - Q19 pts/spark-tpch-1.0.0 -s 50 Scale Factor: 50 - Q18 pts/spark-tpch-1.0.0 -s 50 Scale Factor: 50 - Q17 pts/spark-tpch-1.0.0 -s 50 Scale Factor: 50 - Q16 pts/spark-tpch-1.0.0 -s 50 Scale Factor: 50 - Q15 pts/spark-tpch-1.0.0 -s 50 Scale Factor: 50 - Q14 pts/spark-tpch-1.0.0 -s 50 Scale Factor: 50 - Q13 pts/spark-tpch-1.0.0 -s 50 Scale Factor: 50 - Q12 pts/spark-tpch-1.0.0 -s 50 Scale Factor: 50 - Q11 pts/spark-tpch-1.0.0 -s 50 Scale Factor: 50 - Q10 pts/spark-tpch-1.0.0 -s 50 Scale Factor: 50 - Q09 pts/spark-tpch-1.0.0 -s 50 Scale Factor: 50 - Q08 pts/spark-tpch-1.0.0 -s 50 Scale Factor: 50 - Q07 pts/spark-tpch-1.0.0 -s 50 Scale Factor: 50 - Q06 pts/spark-tpch-1.0.0 -s 50 Scale Factor: 50 - Q05 pts/spark-tpch-1.0.0 -s 50 Scale Factor: 50 - Q04 pts/spark-tpch-1.0.0 -s 50 Scale Factor: 50 - Q03 pts/spark-tpch-1.0.0 -s 50 Scale Factor: 50 - Q02 pts/spark-tpch-1.0.0 -s 50 Scale Factor: 50 - Q01 pts/spark-tpch-1.0.0 -s 10 Scale Factor: 10 - Q22 pts/spark-tpch-1.0.0 -s 10 Scale Factor: 10 - Q21 pts/spark-tpch-1.0.0 -s 10 Scale Factor: 10 - Q20 pts/spark-tpch-1.0.0 -s 10 Scale Factor: 10 - Q19 pts/spark-tpch-1.0.0 -s 10 Scale Factor: 10 - Q18 pts/spark-tpch-1.0.0 -s 10 Scale Factor: 10 - Q17 pts/spark-tpch-1.0.0 -s 10 Scale Factor: 10 - Q16 pts/spark-tpch-1.0.0 -s 10 Scale Factor: 10 - Q15 pts/spark-tpch-1.0.0 -s 10 Scale Factor: 10 - Q14 pts/spark-tpch-1.0.0 -s 10 Scale Factor: 10 - Q13 pts/spark-tpch-1.0.0 -s 10 Scale Factor: 10 - Q12 pts/spark-tpch-1.0.0 -s 10 Scale Factor: 10 - Q11 pts/spark-tpch-1.0.0 -s 10 Scale Factor: 10 - Q10 pts/spark-tpch-1.0.0 -s 10 Scale Factor: 10 - Q09 pts/spark-tpch-1.0.0 -s 10 Scale Factor: 10 - Q08 pts/spark-tpch-1.0.0 -s 10 Scale Factor: 10 - Q07 pts/spark-tpch-1.0.0 -s 10 Scale Factor: 10 - Q06 pts/spark-tpch-1.0.0 -s 10 Scale Factor: 10 - Q05 pts/spark-tpch-1.0.0 -s 10 Scale Factor: 10 - Q04 pts/spark-tpch-1.0.0 -s 10 Scale Factor: 10 - Q03 pts/spark-tpch-1.0.0 -s 10 Scale Factor: 10 - Q02 pts/spark-tpch-1.0.0 -s 10 Scale Factor: 10 - Q01 pts/spark-tpch-1.0.0 -s 1 Scale Factor: 1 - Q22 pts/spark-tpch-1.0.0 -s 1 Scale Factor: 1 - Q21 pts/spark-tpch-1.0.0 -s 1 Scale Factor: 1 - Q20 pts/spark-tpch-1.0.0 -s 1 Scale Factor: 1 - Q19 pts/spark-tpch-1.0.0 -s 1 Scale Factor: 1 - Q18 pts/spark-tpch-1.0.0 -s 1 Scale Factor: 1 - Q17 pts/spark-tpch-1.0.0 -s 1 Scale Factor: 1 - Q16 pts/spark-tpch-1.0.0 -s 1 Scale Factor: 1 - Q15 pts/spark-tpch-1.0.0 -s 1 Scale Factor: 1 - Q14 pts/spark-tpch-1.0.0 -s 1 Scale Factor: 1 - Q13 pts/spark-tpch-1.0.0 -s 1 Scale Factor: 1 - Q12 pts/spark-tpch-1.0.0 -s 1 Scale Factor: 1 - Q11 pts/spark-tpch-1.0.0 -s 1 Scale Factor: 1 - Q10 pts/spark-tpch-1.0.0 -s 1 Scale Factor: 1 - Q09 pts/spark-tpch-1.0.0 -s 1 Scale Factor: 1 - Q08 pts/spark-tpch-1.0.0 -s 1 Scale Factor: 1 - Q07 pts/spark-tpch-1.0.0 -s 1 Scale Factor: 1 - Q06 pts/spark-tpch-1.0.0 -s 1 Scale Factor: 1 - Q05 pts/spark-tpch-1.0.0 -s 1 Scale Factor: 1 - Q04 pts/spark-tpch-1.0.0 -s 1 Scale Factor: 1 - Q03 pts/spark-tpch-1.0.0 -s 1 Scale Factor: 1 - Q02 pts/spark-tpch-1.0.0 -s 1 Scale Factor: 1 - Q01