new tests

Intel Core i9-13900K testing with a ASUS PRIME Z790-P WIFI (0602 BIOS) and AMD Radeon RX 6700 XT 12GB on Ubuntu 22.04 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 2301230-PTS-NEWTESTS60
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a
January 22 2023
  4 Hours, 37 Minutes
b
January 23 2023
  49 Minutes
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January 23 2023
  48 Minutes
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January 23 2023
  49 Minutes
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new tests Suite 1.0.0 System Test suite extracted from new tests. pts/keydb-1.4.0 -t get -c 50 Test: GET - Parallel Connections: 50 pts/keydb-1.4.0 -t set -c 50 Test: SET - Parallel Connections: 50 pts/keydb-1.4.0 -t get -c 100 Test: GET - Parallel Connections: 100 pts/keydb-1.4.0 -t get -c 500 Test: GET - Parallel Connections: 500 pts/keydb-1.4.0 -t get -c 900 Test: GET - Parallel Connections: 900 pts/keydb-1.4.0 -t lpop -c 50 Test: LPOP - Parallel Connections: 50 pts/keydb-1.4.0 -t sadd -c 50 Test: SADD - Parallel Connections: 50 pts/keydb-1.4.0 -t set -c 100 Test: SET - Parallel Connections: 100 pts/keydb-1.4.0 -t set -c 500 Test: SET - Parallel Connections: 500 pts/keydb-1.4.0 -t set -c 900 Test: SET - Parallel Connections: 900 pts/keydb-1.4.0 -t hmset -c 50 Test: HMSET - Parallel Connections: 50 pts/keydb-1.4.0 -t lpop -c 100 Test: LPOP - Parallel Connections: 100 pts/keydb-1.4.0 -t lpop -c 500 Test: LPOP - Parallel Connections: 500 pts/keydb-1.4.0 -t lpop -c 900 Test: LPOP - Parallel Connections: 900 pts/keydb-1.4.0 -t lpush -c 50 Test: LPUSH - Parallel Connections: 50 pts/keydb-1.4.0 -t sadd -c 100 Test: SADD - Parallel Connections: 100 pts/keydb-1.4.0 -t sadd -c 500 Test: SADD - Parallel Connections: 500 pts/keydb-1.4.0 -t sadd -c 900 Test: SADD - Parallel Connections: 900 pts/keydb-1.4.0 -t hmset -c 100 Test: HMSET - Parallel Connections: 100 pts/keydb-1.4.0 -t hmset -c 500 Test: HMSET - Parallel Connections: 500 pts/keydb-1.4.0 -t hmset -c 900 Test: HMSET - Parallel Connections: 900 pts/keydb-1.4.0 -t lpush -c 100 Test: LPUSH - Parallel Connections: 100 pts/keydb-1.4.0 -t lpush -c 500 Test: LPUSH - Parallel Connections: 500 pts/keydb-1.4.0 -t lpush -c 900 Test: LPUSH - Parallel Connections: 900 pts/deepsparse-1.3.2 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-1.3.2 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-1.3.2 zoo:nlp/sentiment_analysis/bert-base/pytorch/huggingface/sst2/12layer_pruned90-none --scenario async Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.3.2 zoo:nlp/sentiment_analysis/bert-base/pytorch/huggingface/sst2/12layer_pruned90-none --scenario sync Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream pts/deepsparse-1.3.2 zoo:nlp/question_answering/bert-base/pytorch/huggingface/squad/12layer_pruned90-none --scenario async Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.3.2 zoo:nlp/question_answering/bert-base/pytorch/huggingface/squad/12layer_pruned90-none --scenario sync Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream pts/deepsparse-1.3.2 zoo:cv/detection/yolov5-s/pytorch/ultralytics/coco/base-none --scenario async Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.3.2 zoo:cv/detection/yolov5-s/pytorch/ultralytics/coco/base-none --scenario sync Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream pts/deepsparse-1.3.2 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-1.3.2 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-1.3.2 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-1.3.2 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-1.3.2 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-1.3.2 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-1.3.2 zoo:nlp/text_classification/bert-base/pytorch/huggingface/sst2/base-none --scenario async Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.3.2 zoo:nlp/text_classification/bert-base/pytorch/huggingface/sst2/base-none --scenario sync Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream pts/deepsparse-1.3.2 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/deepsparse-1.3.2 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