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Tests for a future article. AMD EPYC 8534PN 64-Core testing with a AMD Cinnabar (RCB1009C BIOS) and ASPEED 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 2401089-NE-DDF54911740
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AV1 2 Tests
C++ Boost Tests 2 Tests
Timed Code Compilation 2 Tests
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CPU Massive 5 Tests
Creator Workloads 6 Tests
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HPC - High Performance Computing 6 Tests
Machine Learning 4 Tests
Multi-Core 7 Tests
NVIDIA GPU Compute 2 Tests
OpenMPI Tests 2 Tests
Programmer / Developer System Benchmarks 2 Tests
Python Tests 5 Tests
Server CPU Tests 2 Tests
Video Encoding 3 Tests

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January 07
  2 Hours, 54 Minutes
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January 08
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ddf, "WebP2 Image Encode 20220823 - Encode Settings: Quality 100, Lossless Compression", Higher Results Are Better "a",0.059173494219489 "b",0.059455535929724 "LeelaChessZero 0.30 - Backend: Eigen", Higher Results Are Better "a", "b", "LeelaChessZero 0.30 - Backend: BLAS", Higher Results Are Better "a", "b", "Speedb 2.7 - Test: Sequential Fill", Higher Results Are Better "a", "b", "OpenRadioss 2023.09.15 - Model: Chrysler Neon 1M", Lower Results Are Better "a", "b", "Quicksilver 20230818 - Input: CTS2", Higher Results Are Better "a", "b", "PyTorch 2.1 - Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l", Higher Results Are Better "a",6.0003578862779 "b",5.9813218854047 "PyTorch 2.1 - Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l", Higher Results Are Better "a",6.0305973853199 "b",6.0322745201968 "PyTorch 2.1 - Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l", Higher Results Are Better "a",6.0562831325922 "b",6.0758928870824 "Quicksilver 20230818 - Input: CORAL2 P2", Higher Results Are Better "a", "b", "Blender 4.0 - Blend File: Barbershop - Compute: CPU-Only", Lower Results Are Better "a", "b", "Xmrig 6.21 - Variant: GhostRider - Hash Count: 1M", Higher Results Are Better "a", "b", "Timed Gem5 Compilation 23.0.1 - Time To Compile", Lower Results Are Better "a", "b", "FFmpeg 6.1 - Encoder: libx265 - Scenario: Upload", Higher Results Are Better "a",23.201277018054 "b",23.291367656992 "FFmpeg 6.1 - Encoder: libx265 - Scenario: Video On Demand", Higher Results Are Better "a",47.03372404202 "b",47.047558838818 "FFmpeg 6.1 - Encoder: libx265 - Scenario: Platform", Higher Results Are Better "a",47.150704015439 "b",47.065760140977 "OpenRadioss 2023.09.15 - Model: INIVOL and Fluid Structure Interaction Drop Container", Lower Results Are Better "a", "b", "PyTorch 2.1 - Device: CPU - Batch Size: 32 - Model: ResNet-152", Higher Results Are Better "a",14.366043891126 "b",14.126649191114 "PyTorch 2.1 - Device: CPU - Batch Size: 16 - Model: ResNet-152", Higher Results Are Better "a",14.69516779614 "b",14.177704616288 "OpenRadioss 2023.09.15 - Model: Bird Strike on Windshield", Lower Results Are Better "a", "b", "PyTorch 2.1 - Device: CPU - Batch Size: 64 - Model: ResNet-152", Higher Results Are Better "a",14.887043595856 "b",14.609335988755 "Y-Cruncher 0.8.3 - Pi Digits To Calculate: 10B", Lower Results Are Better "a", "b", "PyTorch 2.1 - Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l", Higher Results Are Better "a",9.5293742310259 "b",9.6111750266652 "easyWave r34 - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400", Lower Results Are Better "a", "b", "rav1e 0.7 - Speed: 1", Higher Results Are Better "a", "b", "WebP2 Image Encode 20220823 - Encode Settings: Quality 95, Compression Effort 7", Higher Results Are Better "a",0.27092928745597 "b",0.26119037513468 "OpenRadioss 2023.09.15 - Model: Bumper Beam", Lower Results Are Better "a", "b", "Neural Magic DeepSparse 1.6 - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "Neural Magic DeepSparse 1.6 - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "Blender 4.0 - Blend File: Pabellon Barcelona - Compute: CPU-Only", Lower Results Are Better "a", "b", "Neural Magic DeepSparse 1.6 - Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream", Lower Results Are Better "a", "b", "Neural Magic DeepSparse 1.6 - Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream", Higher Results Are Better "a", "b", "OpenRadioss 2023.09.15 - Model: Rubber O-Ring Seal Installation", Lower Results Are Better "a", "b", "QuantLib 1.32 - Configuration: Multi-Threaded", Higher Results Are Better "a", "b", "PyTorch 2.1 - Device: CPU - Batch Size: 1 - Model: ResNet-152", Higher Results Are Better "a",16.539612684996 "b",16.581158753077 "Y-Cruncher 0.8.3 - Pi Digits To Calculate: 5B", Lower Results Are Better "a", "b", "Blender 4.0 - Blend File: Classroom - Compute: CPU-Only", Lower Results Are Better "a", "b", "FFmpeg 6.1 - Encoder: libx265 - Scenario: Live", Higher Results Are Better "a",114.74473855616 "b",115.72576229899 "Speedb 2.7 - Test: Random Fill", Higher Results Are Better "a", "b", "Speedb 2.7 - Test: Random Fill Sync", Higher Results Are Better "a", "b", "Speedb 2.7 - Test: Update Random", Higher Results Are Better "a", "b", "Speedb 2.7 - Test: Read Random Write Random", Higher Results Are Better "a", "b", "Speedb 2.7 - Test: Read While Writing", Higher Results Are Better "a", "b", "Speedb 2.7 - Test: Random Read", Higher Results Are Better "a", "b", "CloverLeaf 1.3 - Input: clover_bm64_short", Lower Results Are Better "a",57.205250024796 "b",57.090955972672 "PyTorch 2.1 - Device: CPU - Batch Size: 16 - Model: ResNet-50", Higher Results Are Better "a",36.11736780603 "b",36.348884258155 "PyTorch 2.1 - Device: CPU - Batch Size: 32 - Model: ResNet-50", Higher Results Are Better "a",36.662239281622 "b",36.381728513545 "PyTorch 2.1 - Device: CPU - Batch Size: 64 - Model: ResNet-50", Higher Results Are Better "a",36.873656882594 "b",36.293238359788 "rav1e 0.7 - Speed: 5", Higher Results Are Better "a", "b", "Quicksilver 20230818 - Input: CORAL2 P1", Higher Results Are Better "a", "b", "TensorFlow 2.12 - Device: CPU - Batch Size: 16 - Model: VGG-16", Higher Results Are Better "a", "b", "Xmrig 6.21 - Variant: CryptoNight-Heavy - Hash Count: 1M", Higher Results Are Better "a", "b", "Xmrig 6.21 - Variant: CryptoNight-Femto UPX2 - Hash Count: 1M", Higher Results Are Better "a", "b", "Xmrig 6.21 - Variant: KawPow - Hash Count: 1M", Higher Results Are Better "a", "b", "Xmrig 6.21 - Variant: Monero - Hash Count: 1M", Higher Results Are Better "a", "b", "Neural Magic DeepSparse 1.6 - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream", Lower Results Are Better "a", "b", "Neural Magic DeepSparse 1.6 - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream", Higher Results Are Better "a", "b", "Neural Magic DeepSparse 1.6 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "Neural Magic DeepSparse 1.6 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "rav1e 0.7 - Speed: 10", Higher Results Are Better "a", "b", "Neural Magic DeepSparse 1.6 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "Neural Magic DeepSparse 1.6 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "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", "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", "Neural Magic DeepSparse 1.6 - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "Neural Magic DeepSparse 1.6 - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "Neural Magic DeepSparse 1.6 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream", Lower Results Are Better "a", "b", "Neural Magic DeepSparse 1.6 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream", Higher Results Are Better "a", "b", "Neural Magic DeepSparse 1.6 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream", Lower Results Are Better "a", "b", "Neural Magic DeepSparse 1.6 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream", Higher Results Are Better "a", "b", "WebP2 Image Encode 20220823 - Encode Settings: Quality 75, Compression Effort 7", Higher Results Are Better "a",0.54112554112554 "b",0.5142049106569 "Neural Magic DeepSparse 1.6 - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream", Lower Results Are Better "a", "b", "Neural Magic DeepSparse 1.6 - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream", Higher Results Are Better "a", "b", "Neural Magic DeepSparse 1.6 - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "Neural Magic DeepSparse 1.6 - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "Neural Magic DeepSparse 1.6 - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream", Lower Results Are Better "a", "b", "Neural Magic DeepSparse 1.6 - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream", Higher Results Are Better "a", "b", "Neural Magic DeepSparse 1.6 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "Neural Magic DeepSparse 1.6 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "easyWave r34 - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200", Lower Results Are Better "a", "b", "rav1e 0.7 - Speed: 6", Higher Results Are Better "a", "b", "OpenRadioss 2023.09.15 - Model: Cell Phone Drop Test", Lower Results Are Better "a", "b", "Neural Magic DeepSparse 1.6 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream", Lower Results Are Better "a", "b", "Neural Magic DeepSparse 1.6 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream", Higher Results Are Better "a", "b", "TensorFlow 2.12 - Device: CPU - Batch Size: 16 - Model: ResNet-50", Higher Results Are Better "a", "b", "Neural Magic DeepSparse 1.6 - Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream", Lower Results Are Better "a", "b", "Neural Magic DeepSparse 1.6 - Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream", Higher Results Are Better "a", "b", "Neural Magic DeepSparse 1.6 - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "Neural Magic DeepSparse 1.6 - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "Neural Magic DeepSparse 1.6 - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream", Lower Results Are Better "a", "b", "Neural Magic DeepSparse 1.6 - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream", Higher Results Are Better "a", "b", "Neural Magic DeepSparse 1.6 - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "Neural Magic DeepSparse 1.6 - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "Neural Magic DeepSparse 1.6 - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "Neural Magic DeepSparse 1.6 - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "Neural Magic DeepSparse 1.6 - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "Neural Magic DeepSparse 1.6 - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "Neural Magic DeepSparse 1.6 - Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream", Lower Results Are Better "a", "b", "Neural Magic DeepSparse 1.6 - Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream", Higher Results Are Better "a", "b", "Neural Magic DeepSparse 1.6 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream", Lower Results Are Better "a", "b", "Neural Magic DeepSparse 1.6 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream", Higher Results Are Better "a", "b", "Neural Magic DeepSparse 1.6 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "Neural Magic DeepSparse 1.6 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "Neural Magic DeepSparse 1.6 - Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream", Lower Results Are Better "a", "b", "Neural Magic DeepSparse 1.6 - Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream", Higher Results Are Better "a", "b", "Blender 4.0 - Blend File: Fishy Cat - Compute: CPU-Only", Lower Results Are Better "a", "b", "QuantLib 1.32 - Configuration: Single-Threaded", Higher Results Are Better "a", "b", "SVT-AV1 1.8 - Encoder Mode: Preset 4 - Input: Bosphorus 4K", Higher Results Are Better "a", "b", "PyTorch 2.1 - Device: CPU - Batch Size: 1 - Model: ResNet-50", Higher Results Are Better "a",45.19095236232 "b",45.417744212505 "Blender 4.0 - Blend File: BMW27 - Compute: CPU-Only", Lower Results Are Better "a", "b", "Xmrig 6.21 - Variant: Wownero - Hash Count: 1M", Higher Results Are Better "a", "b", "TensorFlow 2.12 - Device: CPU - Batch Size: 1 - Model: ResNet-50", Higher Results Are Better "a", "b", "Embree 4.3 - Binary: Pathtracer - Model: Asian Dragon Obj", Higher Results Are Better "a", "b", "Embree 4.3 - Binary: Pathtracer ISPC - Model: Asian Dragon Obj", Higher Results Are Better "a", "b", "Timed FFmpeg Compilation 6.1 - Time To Compile", Lower Results Are Better "a", "b", "TensorFlow 2.12 - Device: CPU - Batch Size: 16 - Model: GoogLeNet", Higher Results Are Better "a", "b", "Y-Cruncher 0.8.3 - Pi Digits To Calculate: 1B", Lower Results Are Better "a", "b", "CloverLeaf 1.3 - Input: clover_bm", Lower Results Are Better "a",13.674293994904 "b",13.928312063217 "TensorFlow 2.12 - Device: CPU - Batch Size: 1 - Model: VGG-16", Higher Results Are Better "a", "b", "SVT-AV1 1.8 - Encoder Mode: Preset 8 - Input: Bosphorus 4K", Higher Results Are Better "a", "b", "SVT-AV1 1.8 - Encoder Mode: Preset 4 - Input: Bosphorus 1080p", Higher Results Are Better "a", "b", "Embree 4.3 - 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Encode Settings: Default", Higher Results Are Better "a",7.4372482181593 "b",7.4929753356229 "easyWave r34 - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240", Lower Results Are Better "a", "b", "SVT-AV1 1.8 - Encoder Mode: Preset 12 - Input: Bosphorus 1080p", Higher Results Are Better "a", "b", "SVT-AV1 1.8 - Encoder Mode: Preset 13 - Input: Bosphorus 1080p", Higher Results Are Better "a", "b", "WebP2 Image Encode 20220823 - Encode Settings: Quality 100, Compression Effort 5", Higher Results Are Better "a",11.633543383422 "b",11.684518013632