10980xe feb 2023

Intel Core i9-10980XE testing with a ASRock X299 Steel Legend (P1.30 BIOS) and llvmpipe 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 2302062-PTS-10980XEF17
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Database Test Suite 4 Tests
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a
February 06 2023
  1 Hour, 16 Minutes
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February 06 2023
  1 Hour, 13 Minutes
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February 06 2023
  1 Hour, 14 Minutes
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10980xe feb 2023, "VVenC 1.7 - Video Input: Bosphorus 4K - Video Preset: Fast", Higher Results Are Better "a", "b", "c", "VVenC 1.7 - Video Input: Bosphorus 4K - Video Preset: Faster", Higher Results Are Better "a", "b", "c", "VVenC 1.7 - Video Input: Bosphorus 1080p - Video Preset: Fast", Higher Results Are Better "a", "b", "c", "VVenC 1.7 - Video Input: Bosphorus 1080p - Video Preset: Faster", Higher Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream", Higher Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream", Higher Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream", Higher Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream", Higher Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream", Higher Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream", Higher Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream", Higher Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream", Higher Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream", Higher Results Are Better "a", "b", "c", "RocksDB 7.9.2 - Test: Random Fill", Higher Results Are Better "a", "b", "c", "RocksDB 7.9.2 - Test: Random Read", Higher Results Are Better "a", "b", "c", "RocksDB 7.9.2 - Test: Update Random", Higher Results Are Better "a", "b", "c", "RocksDB 7.9.2 - Test: Sequential Fill", Higher Results Are Better "a", "b", "c", "RocksDB 7.9.2 - Test: Random Fill Sync", Higher Results Are Better "a", "b", "c", "RocksDB 7.9.2 - Test: Read While Writing", Higher Results Are Better "a", "b", "c", "RocksDB 7.9.2 - Test: Read Random Write Random", Higher Results Are Better "a", "b", "c", "ClickHouse 22.12.3.5 - 100M Rows Hits Dataset, First Run / Cold Cache", Higher Results Are Better "a",135.52527091401 "a",135.53817562425 "b",138.39363102768 "c",133.39980371028 "ClickHouse 22.12.3.5 - 100M Rows Hits Dataset, Second Run", Higher Results Are Better "a",146.0261378518 "a",153.43156711655 "b",147.00646579351 "c",146.37428724208 "ClickHouse 22.12.3.5 - 100M Rows Hits Dataset, Third Run", Higher Results Are Better "a",150.79242209234 "a",142.36381454855 "b",151.08662785253 "c",148.48966187683 "KeyDB 6.3.2 - Test: GET - Parallel Connections: 50", Higher Results Are Better "a", "KeyDB 6.3.2 - Test: SET - Parallel Connections: 50", Higher Results Are Better "a", "KeyDB 6.3.2 - Test: GET - Parallel Connections: 100", Higher Results Are Better "a", "Neural Magic DeepSparse 1.3.2 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream", Lower Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream", Lower Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream", Lower Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream", Lower Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream", Lower Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream", Lower Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream", Lower Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream", Lower Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream", Lower Results Are Better "a", "b", "c", "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark Time", Lower Results Are Better "a",3.6077747380004 "a",3.5643326609998 "b",3.7061349220003 "c", "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark", Lower Results Are Better "a", "a", "b", "c", "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe", Lower Results Are Better "a",5.8848594030005 "a",5.9232925650003 "b",5.9146047909999 "c",5.9256976409997 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 100 - Group By Test Time", Lower Results Are Better "a",4.6183795689994 "a",4.3729885180001 "b",4.467007543999 "c",4.3807707570013 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 100 - Repartition Test Time", Lower Results Are Better "a",1.9767556899997 "a",1.9477741499995 "b",1.9848159520006 "c",1.9728515089992 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 100 - Inner Join Test Time", Lower Results Are Better "a", "a",1.5588015490002 "b",1.5344662269999 "c",1.540277615999 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test Time", Lower Results Are Better "a",1.2690898740002 "a",1.5747973810003 "b",1.3598855319997 "c",1.3536850690016