Tests for a future article. AMD EPYC 8324P 32-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 2401110-NE-NEWTESTS900
new-tests,
"Quicksilver 20230818 - Input: CTS2",
Higher Results Are Better
"Zen 1 - EPYC 7601",11410000,11460000,11410000
"b",
"c",
"32",
"32 z",
"32 c",
"32 d",
"Timed Linux Kernel Compilation 6.1 - Build: allmodconfig",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Blender 4.0 - Blend File: Barbershop - Compute: CPU-Only",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Quicksilver 20230818 - Input: CORAL2 P2",
Higher Results Are Better
"Zen 1 - EPYC 7601",15040000,15060000,14940000
"b",
"c",
"32",
"32 z",
"32 c",
"32 d",
"PyTorch 2.1 - Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l",
Higher Results Are Better
"32",7.1652498347462
"32 z",7.1111707309396
"32 c",7.1832933213286
"32 d",7.146193889967
"Timed Gem5 Compilation 23.0.1 - Time To Compile",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Xmrig 6.21 - Variant: GhostRider - Hash Count: 1M",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Quicksilver 20230818 - Input: CORAL2 P1",
Higher Results Are Better
"Zen 1 - EPYC 7601",12980000,13120000,12890000
"b",
"c",
"32",
"32 z",
"32 c",
"32 d",
"FFmpeg 6.1 - Encoder: libx265 - Scenario: Upload",
Higher Results Are Better
"32",22.283268176437
"32 z",22.204037789065
"32 c",22.213277145381
"32 d",22.218451821636
"FFmpeg 6.1 - Encoder: libx265 - Scenario: Platform",
Higher Results Are Better
"32",45.132302658666
"32 z",45.053402394794
"32 c",45.125524137924
"32 d",44.966170505046
"FFmpeg 6.1 - Encoder: libx265 - Scenario: Video On Demand",
Higher Results Are Better
"32",45.175182892587
"32 z",45.077544979791
"32 c",44.953114588866
"32 d",45.104996297029
"OSPRay Studio 0.13 - Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Llama.cpp b1808 - Model: llama-2-70b-chat.Q5_0.gguf",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Blender 4.0 - Blend File: Pabellon Barcelona - Compute: CPU-Only",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"PyTorch 2.1 - Device: CPU - Batch Size: 16 - Model: ResNet-152",
Higher Results Are Better
"32",15.612180955897
"32 z",15.509413600175
"32 c",15.320133466978
"32 d",15.354930443234
"OSPRay Studio 0.13 - Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"OSPRay Studio 0.13 - Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"CacheBench - Test: Read / Modify / Write",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"CacheBench - Test: Write",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"CacheBench - Test: Read",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Blender 4.0 - Blend File: Classroom - Compute: CPU-Only",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"PyTorch 2.1 - Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l",
Higher Results Are Better
"32",9.8486450786002
"32 z",9.8205123234539
"32 c",10.035025113051
"32 d",10.210416363298
"OpenFOAM 10 - Input: drivaerFastback, Small Mesh Size - Execution Time",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"OpenFOAM 10 - Input: drivaerFastback, Small Mesh Size - Mesh Time",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"OSPRay Studio 0.13 - Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Neural Magic DeepSparse 1.6 - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Neural Magic DeepSparse 1.6 - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"OSPRay Studio 0.13 - Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"OSPRay Studio 0.13 - Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"OSPRay Studio 0.13 - Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"OSPRay Studio 0.13 - Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"OSPRay Studio 0.13 - Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"TensorFlow 2.12 - Device: CPU - Batch Size: 16 - Model: VGG-16",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"FFmpeg 6.1 - Encoder: libx265 - Scenario: Live",
Higher Results Are Better
"32",109.84166452215
"32 z",110.36813759491
"32 c",110.02196215598
"32 d",110.29412094642
"OpenVINO 2023.2.dev - Model: Face Detection FP16 - Device: CPU",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"OpenVINO 2023.2.dev - Model: Face Detection FP16 - Device: CPU",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"OpenVINO 2023.2.dev - Model: Face Detection FP16-INT8 - Device: CPU",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"OpenVINO 2023.2.dev - Model: Face Detection FP16-INT8 - Device: CPU",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"QuantLib 1.32 - Configuration: Multi-Threaded",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"PyTorch 2.1 - Device: CPU - Batch Size: 1 - Model: ResNet-152",
Higher Results Are Better
"32",19.035575200938
"32 z",18.924402347381
"32 c",18.858746330542
"32 d",18.858878140265
"OpenVINO 2023.2.dev - Model: Person Detection FP16 - Device: CPU",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"OpenVINO 2023.2.dev - Model: Person Detection FP16 - Device: CPU",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"OpenVINO 2023.2.dev - Model: Person Detection FP32 - Device: CPU",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"OpenVINO 2023.2.dev - Model: Person Detection FP32 - Device: CPU",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"OpenVINO 2023.2.dev - Model: Machine Translation EN To DE FP16 - Device: CPU",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"OpenVINO 2023.2.dev - Model: Machine Translation EN To DE FP16 - Device: CPU",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"OpenVINO 2023.2.dev - Model: Person Vehicle Bike Detection FP16 - Device: CPU",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"OpenVINO 2023.2.dev - Model: Person Vehicle Bike Detection FP16 - Device: CPU",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"OpenVINO 2023.2.dev - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"OpenVINO 2023.2.dev - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"OpenVINO 2023.2.dev - Model: Road Segmentation ADAS FP16 - Device: CPU",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"OpenVINO 2023.2.dev - Model: Road Segmentation ADAS FP16 - Device: CPU",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"OpenVINO 2023.2.dev - Model: Face Detection Retail FP16-INT8 - Device: CPU",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"OpenVINO 2023.2.dev - Model: Face Detection Retail FP16-INT8 - Device: CPU",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"OpenVINO 2023.2.dev - Model: Handwritten English Recognition FP16-INT8 - Device: CPU",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"OpenVINO 2023.2.dev - Model: Handwritten English Recognition FP16-INT8 - Device: CPU",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"OpenVINO 2023.2.dev - Model: Handwritten English Recognition FP16 - Device: CPU",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"OpenVINO 2023.2.dev - Model: Handwritten English Recognition FP16 - Device: CPU",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"OpenVINO 2023.2.dev - Model: Vehicle Detection FP16-INT8 - Device: CPU",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"OpenVINO 2023.2.dev - Model: Vehicle Detection FP16-INT8 - Device: CPU",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"OpenVINO 2023.2.dev - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"OpenVINO 2023.2.dev - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"OpenVINO 2023.2.dev - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"OpenVINO 2023.2.dev - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"OpenVINO 2023.2.dev - Model: Vehicle Detection FP16 - Device: CPU",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"OpenVINO 2023.2.dev - Model: Vehicle Detection FP16 - Device: CPU",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"OpenVINO 2023.2.dev - Model: Weld Porosity Detection FP16 - Device: CPU",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"OpenVINO 2023.2.dev - Model: Weld Porosity Detection FP16 - Device: CPU",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Speedb 2.7 - Test: Update Random",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"OpenVINO 2023.2.dev - Model: Face Detection Retail FP16 - Device: CPU",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"OpenVINO 2023.2.dev - Model: Face Detection Retail FP16 - Device: CPU",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"OpenVINO 2023.2.dev - Model: Weld Porosity Detection FP16-INT8 - Device: CPU",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"OpenVINO 2023.2.dev - Model: Weld Porosity Detection FP16-INT8 - Device: CPU",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Speedb 2.7 - Test: Read While Writing",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"RocksDB 8.0 - Test: Update Random",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Speedb 2.7 - Test: Read Random Write Random",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Speedb 2.7 - Test: Random Read",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"RocksDB 8.0 - Test: Read Random Write Random",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"RocksDB 8.0 - Test: Read While Writing",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"RocksDB 8.0 - Test: Random Read",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"DaCapo Benchmark 23.11 - Java Test: Apache Cassandra",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Blender 4.0 - Blend File: Fishy Cat - Compute: CPU-Only",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Xmrig 6.21 - Variant: Monero - Hash Count: 1M",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Xmrig 6.21 - Variant: CryptoNight-Femto UPX2 - Hash Count: 1M",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Xmrig 6.21 - Variant: KawPow - Hash Count: 1M",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Xmrig 6.21 - Variant: CryptoNight-Heavy - Hash Count: 1M",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Timed Linux Kernel Compilation 6.1 - Build: defconfig",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"PyTorch 2.1 - Device: CPU - Batch Size: 16 - Model: ResNet-50",
Higher Results Are Better
"32",40.185713659669
"32 z",39.963927191231
"32 c",40.323911181488
"32 d",40.306955425789
"Neural Magic DeepSparse 1.6 - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Neural Magic DeepSparse 1.6 - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"DaCapo Benchmark 23.11 - Java Test: Eclipse",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Blender 4.0 - Blend File: BMW27 - Compute: CPU-Only",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Neural Magic DeepSparse 1.6 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Neural Magic DeepSparse 1.6 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Neural Magic DeepSparse 1.6 - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Neural Magic DeepSparse 1.6 - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Neural Magic DeepSparse 1.6 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Neural Magic DeepSparse 1.6 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Neural Magic DeepSparse 1.6 - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Neural Magic DeepSparse 1.6 - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"DaCapo Benchmark 23.11 - Java Test: Apache Lucene Search Index",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Xmrig 6.21 - Variant: Wownero - Hash Count: 1M",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"DaCapo Benchmark 23.11 - Java Test: H2 Database Engine",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Neural Magic DeepSparse 1.6 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Neural Magic DeepSparse 1.6 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"TensorFlow 2.12 - Device: CPU - Batch Size: 16 - Model: ResNet-50",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Neural Magic DeepSparse 1.6 - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Neural Magic DeepSparse 1.6 - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Neural Magic DeepSparse 1.6 - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Neural Magic DeepSparse 1.6 - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Neural Magic DeepSparse 1.6 - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Neural Magic DeepSparse 1.6 - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Neural Magic DeepSparse 1.6 - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Neural Magic DeepSparse 1.6 - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Neural Magic DeepSparse 1.6 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Neural Magic DeepSparse 1.6 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"DaCapo Benchmark 23.11 - Java Test: Tradebeans",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"7-Zip Compression 22.01 - Test: Decompression Rating",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"7-Zip Compression 22.01 - Test: Compression Rating",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"SVT-AV1 1.8 - Encoder Mode: Preset 4 - Input: Bosphorus 4K",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Embree 4.3 - Binary: Pathtracer - Model: Asian Dragon Obj",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Llama.cpp b1808 - Model: llama-2-13b.Q4_0.gguf",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Y-Cruncher 0.8.3 - Pi Digits To Calculate: 1B",
Lower Results Are Better
"Zen 1 - EPYC 7601",33.795,34.104,33.871
"b",
"c",
"32",
"32 z",
"32 c",
"32 d",
"Embree 4.3 - Binary: Pathtracer ISPC - Model: Asian Dragon Obj",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"DaCapo Benchmark 23.11 - Java Test: Tradesoap",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"DaCapo Benchmark 23.11 - Java Test: BioJava Biological Data Framework",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"PyTorch 2.1 - Device: CPU - Batch Size: 1 - Model: ResNet-50",
Higher Results Are Better
"32",52.441397645191
"32 z",52.782472837875
"32 c",53.004240229511
"32 d",53.300038253621
"Timed FFmpeg Compilation 6.1 - Time To Compile",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"DaCapo Benchmark 23.11 - Java Test: Jython",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"DaCapo Benchmark 23.11 - Java Test: jMonkeyEngine",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"DaCapo Benchmark 23.11 - Java Test: GraphChi",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Embree 4.3 - Binary: Pathtracer - Model: Crown",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Embree 4.3 - Binary: Pathtracer ISPC - Model: Crown",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"DaCapo Benchmark 23.11 - Java Test: H2O In-Memory Platform For Machine Learning",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Llama.cpp b1808 - Model: llama-2-7b.Q4_0.gguf",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"DaCapo Benchmark 23.11 - Java Test: Apache Kafka",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Embree 4.3 - Binary: Pathtracer - Model: Asian Dragon",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"TensorFlow 2.12 - Device: CPU - Batch Size: 1 - Model: ResNet-50",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"DaCapo Benchmark 23.11 - Java Test: Avrora AVR Simulation Framework",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Embree 4.3 - Binary: Pathtracer ISPC - Model: Asian Dragon",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"SVT-AV1 1.8 - Encoder Mode: Preset 8 - Input: Bosphorus 4K",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"Y-Cruncher 0.8.3 - Pi Digits To Calculate: 500M",
Lower Results Are Better
"Zen 1 - EPYC 7601",15.859,15.755,15.465
"b",
"c",
"32",
"32 z",
"32 c",
"32 d",
"DaCapo Benchmark 23.11 - Java Test: Spring Boot",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"TensorFlow 2.12 - Device: CPU - Batch Size: 16 - Model: GoogLeNet",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"TensorFlow 2.12 - Device: CPU - Batch Size: 1 - Model: VGG-16",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"DaCapo Benchmark 23.11 - Java Test: Apache Tomcat",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"DaCapo Benchmark 23.11 - Java Test: Apache Lucene Search Engine",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"SVT-AV1 1.8 - Encoder Mode: Preset 13 - Input: Bosphorus 4K",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"SVT-AV1 1.8 - Encoder Mode: Preset 12 - Input: Bosphorus 4K",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"DaCapo Benchmark 23.11 - Java Test: PMD Source Code Analyzer",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"TensorFlow 2.12 - Device: CPU - Batch Size: 16 - Model: AlexNet",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"DaCapo Benchmark 23.11 - Java Test: Batik SVG Toolkit",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"TensorFlow 2.12 - Device: CPU - Batch Size: 1 - Model: GoogLeNet",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"TensorFlow 2.12 - Device: CPU - Batch Size: 1 - Model: AlexNet",
Higher Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"DaCapo Benchmark 23.11 - Java Test: FOP Print Formatter",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"DaCapo Benchmark 23.11 - Java Test: Apache Xalan XSLT",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"DaCapo Benchmark 23.11 - Java Test: Zxing 1D/2D Barcode Image Processing",
Lower Results Are Better
"32",
"32 z",
"32 c",
"32 d",
"CPU Power Consumption Monitor - Phoronix Test Suite System Monitoring",
"Zen 1 - EPYC 7601",
"Meta Performance Per Watts - Performance Per Watts",
Higher Results Are Better
"Zen 1 - EPYC 7601",
"Y-Cruncher 0.8.3 - CPU Power Consumption Monitor",
Lower Results Are Better
"Zen 1 - EPYC 7601",
"Y-Cruncher 0.8.3 - CPU Power Consumption Monitor",
Lower Results Are Better
"Zen 1 - EPYC 7601",
"Quicksilver 20230818 - CPU Power Consumption Monitor",
Lower Results Are Better
"Zen 1 - EPYC 7601",
"Quicksilver 20230818 - Input: CTS2",
Higher Results Are Better
"Zen 1 - EPYC 7601",
"Quicksilver 20230818 - CPU Power Consumption Monitor",
Lower Results Are Better
"Zen 1 - EPYC 7601",
"Quicksilver 20230818 - Input: CORAL2 P2",
Higher Results Are Better
"Zen 1 - EPYC 7601",
"Quicksilver 20230818 - CPU Power Consumption Monitor",
Lower Results Are Better
"Zen 1 - EPYC 7601",
"Quicksilver 20230818 - Input: CORAL2 P1",
Higher Results Are Better
"Zen 1 - EPYC 7601",