jan tr

AMD Ryzen Threadripper 7980X 64-Cores testing with a ASUS Pro WS TRX50-SAGE WIFI (0217 BIOS) and AMD Radeon RX 7900 XT 20GB 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 2401036-NE-JANTR931223
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AV1 2 Tests
CPU Massive 2 Tests
Creator Workloads 2 Tests
Encoding 2 Tests
HPC - High Performance Computing 2 Tests
Machine Learning 2 Tests
Multi-Core 2 Tests
Video Encoding 2 Tests

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  Test
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a
January 03
  37 Minutes
b
January 03
  37 Minutes
c
January 03
  37 Minutes
d
January 03
  36 Minutes
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jan tr, "rav1e 0.7 - Speed: 1", Higher Results Are Better "a", "b", "c", "d", "rav1e 0.7 - Speed: 5", Higher Results Are Better "a", "b", "c", "d", "rav1e 0.7 - Speed: 6", Higher Results Are Better "a", "b", "c", "d", "rav1e 0.7 - Speed: 10", Higher Results Are Better "a", "b", "c", "d", "SVT-AV1 1.8 - Encoder Mode: Preset 4 - Input: Bosphorus 4K", Higher Results Are Better "a", "b", "c", "d", "SVT-AV1 1.8 - Encoder Mode: Preset 8 - Input: Bosphorus 4K", Higher Results Are Better "a", "b", "c", "d", "SVT-AV1 1.8 - Encoder Mode: Preset 12 - Input: Bosphorus 4K", Higher Results Are Better "a", "b", "c", "d", "SVT-AV1 1.8 - Encoder Mode: Preset 13 - Input: Bosphorus 4K", Higher Results Are Better "a", "b", "c", "d", "SVT-AV1 1.8 - Encoder Mode: Preset 4 - Input: Bosphorus 1080p", Higher Results Are Better "a", "b", "c", "d", "SVT-AV1 1.8 - Encoder Mode: Preset 8 - Input: Bosphorus 1080p", Higher Results Are Better "a", "b", "c", "d", "SVT-AV1 1.8 - Encoder Mode: Preset 12 - Input: Bosphorus 1080p", Higher Results Are Better "a", "b", "c", "d", "SVT-AV1 1.8 - Encoder Mode: Preset 13 - Input: Bosphorus 1080p", Higher Results Are Better "a", "b", "c", "d", "Xmrig 6.21 - Variant: KawPow - Hash Count: 1M", Higher Results Are Better "a", "b", "c", "d", "Xmrig 6.21 - Variant: Monero - Hash Count: 1M", Higher Results Are Better "a", "b", "c", "d", "Xmrig 6.21 - Variant: Wownero - Hash Count: 1M", Higher Results Are Better "a", "b", "c", "d", "Xmrig 6.21 - Variant: GhostRider - Hash Count: 1M", Higher Results Are Better "a", "b", "c", "d", "Xmrig 6.21 - Variant: CryptoNight-Heavy - Hash Count: 1M", Higher Results Are Better "a", "b", "c", "d", "Xmrig 6.21 - Variant: CryptoNight-Femto UPX2 - Hash Count: 1M", Higher Results Are Better "a", "b", "c", "d", "Neural Magic DeepSparse 1.6 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "c", "d", "Neural Magic DeepSparse 1.6 - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "c", "d", "Neural Magic DeepSparse 1.6 - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "c", "d", "Neural Magic DeepSparse 1.6 - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "c", "d", "Neural Magic DeepSparse 1.6 - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "c", "d", "Neural Magic DeepSparse 1.6 - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "c", "d", "Neural Magic DeepSparse 1.6 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "c", "d", "Neural Magic DeepSparse 1.6 - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "c", "d", "Neural Magic DeepSparse 1.6 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "c", "d", "Neural Magic DeepSparse 1.6 - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "c", "d", "Neural Magic DeepSparse 1.6 - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "c", "d", "Neural Magic DeepSparse 1.6 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "c", "d", "LeelaChessZero 0.30 - Backend: BLAS", Higher Results Are Better "a", "b", "c", "d", "LeelaChessZero 0.30 - Backend: Eigen", Higher Results Are Better "a", "b", "c", "d", "Neural Magic DeepSparse 1.6 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "c", "d", "Neural Magic DeepSparse 1.6 - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "c", "d", "Neural Magic DeepSparse 1.6 - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "c", "d", "Neural Magic DeepSparse 1.6 - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "c", "d", "Neural Magic DeepSparse 1.6 - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "c", "d", "Neural Magic DeepSparse 1.6 - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "c", "d", "Neural Magic DeepSparse 1.6 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "c", "d", "Neural Magic DeepSparse 1.6 - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "c", "d", "Neural Magic DeepSparse 1.6 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "c", "d", "Neural Magic DeepSparse 1.6 - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "c", "d", "Neural Magic DeepSparse 1.6 - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "c", "d", "Neural Magic DeepSparse 1.6 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "c", "d",