lfld

AMD Ryzen Threadripper 3970X 32-Core testing with a ASUS ROG ZENITH II EXTREME (1802 BIOS) and AMD Radeon RX 5700 8GB 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 2404067-NE-LFLD4610042
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Timed Code Compilation 2 Tests
C/C++ Compiler Tests 3 Tests
CPU Massive 5 Tests
Creator Workloads 4 Tests
Encoding 2 Tests
HPC - High Performance Computing 3 Tests
Machine Learning 3 Tests
Multi-Core 6 Tests
Programmer / Developer System Benchmarks 2 Tests
Python Tests 4 Tests
Server CPU Tests 3 Tests
Video Encoding 2 Tests
Common Workstation Benchmarks 3 Tests

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a
April 05
  2 Hours, 53 Minutes
b
April 05
  2 Hours, 53 Minutes
c
April 05
  2 Hours, 53 Minutes
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lfld, "PyTorch 2.2.1 - Device: CPU - Batch Size: 1 - Model: ResNet-50", Higher Results Are Better "a",36.044717198472 "b",34.827701369828 "c",35.362621784697 "PyTorch 2.2.1 - Device: CPU - Batch Size: 1 - Model: ResNet-152", Higher Results Are Better "a",14.10343479024 "b",14.029823891922 "c",13.981695758971 "PyTorch 2.2.1 - Device: CPU - Batch Size: 16 - Model: ResNet-50", Higher Results Are Better "a",30.33967623911 "b",30.158645738365 "c",30.556896568663 "PyTorch 2.2.1 - Device: CPU - Batch Size: 32 - Model: ResNet-50", Higher Results Are Better "a",30.42971613246 "b",29.435525769245 "c",30.138635376734 "PyTorch 2.2.1 - Device: CPU - Batch Size: 64 - Model: ResNet-50", Higher Results Are Better "a",30.086607320988 "b",29.729979943124 "c",30.142129219952 "PyTorch 2.2.1 - Device: CPU - Batch Size: 16 - Model: ResNet-152", Higher Results Are Better "a",11.688801877361 "b",11.700786586043 "c",11.720157669655 "PyTorch 2.2.1 - Device: CPU - Batch Size: 32 - Model: ResNet-152", Higher Results Are Better "a",11.656895211349 "b",11.55854151807 "c",11.518312513719 "PyTorch 2.2.1 - Device: CPU - Batch Size: 64 - Model: ResNet-152", Higher Results Are Better "a",11.526529389802 "b",11.539359082217 "c",11.471924000913 "PyTorch 2.2.1 - Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l", Higher Results Are Better "a",7.8237656498266 "b",7.7478350659971 "c",7.7347564607336 "PyTorch 2.2.1 - Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l", Higher Results Are Better "a",5.9431403529321 "b",5.9585610141863 "c",5.9285257455905 "PyTorch 2.2.1 - Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l", Higher Results Are Better "a",5.9326411424368 "b",5.8996831648733 "c",5.8976717357405 "PyTorch 2.2.1 - Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l", Higher Results Are Better "a",5.9150005812716 "b",5.9184953593124 "c",5.9411742993038 "FFmpeg 7.0 - Encoder: libx264 - Scenario: Live", Higher Results Are Better "a",192.88187783055 "b",190.36053652566 "c",191.02526429499 "FFmpeg 7.0 - Encoder: libx265 - Scenario: Live", Higher Results Are Better "a",68.630063580085 "b",67.938639248795 "c",67.707325014717 "FFmpeg 7.0 - Encoder: libx264 - Scenario: Upload", Higher Results Are Better "a",12.311130868255 "b",12.267684094951 "c",12.325062076544 "FFmpeg 7.0 - Encoder: libx265 - Scenario: Upload", Higher Results Are Better "a",13.560847178992 "b",13.563505367513 "c",13.532176342709 "FFmpeg 7.0 - Encoder: libx264 - Scenario: Platform", Higher Results Are Better "a",46.413145098843 "b",46.370840197306 "c",46.466756216234 "FFmpeg 7.0 - Encoder: libx265 - Scenario: Platform", Higher Results Are Better "a",28.174767638235 "b",28.048822859685 "c",28.090979713719 "FFmpeg 7.0 - Encoder: libx264 - Scenario: Video On Demand", Higher Results Are Better "a",46.433060047466 "b",46.526412958715 "c",46.50689795106 "FFmpeg 7.0 - Encoder: libx265 - Scenario: Video On Demand", Higher Results Are Better "a",28.135555416452 "b",28.0483052412 "c",28.028088866818 "x265 3.6 - Video Input: Bosphorus 4K", Higher Results Are Better "a", "b", "c", "x265 3.6 - Video Input: Bosphorus 1080p", Higher Results Are Better "a", "b", "c", "TensorFlow 2.16.1 - Device: CPU - Batch Size: 1 - Model: AlexNet", Higher Results Are Better "a", "b", "c", "TensorFlow 2.16.1 - Device: CPU - Batch Size: 16 - Model: AlexNet", Higher Results Are Better "a", "b", "c", "TensorFlow 2.16.1 - Device: CPU - Batch Size: 32 - Model: AlexNet", Higher Results Are Better "a", "b", "c", "TensorFlow 2.16.1 - Device: CPU - Batch Size: 64 - Model: AlexNet", Higher Results Are Better "a", "b", "c", "TensorFlow 2.16.1 - Device: CPU - Batch Size: 1 - Model: GoogLeNet", Higher Results Are Better "a", "b", "c", "TensorFlow 2.16.1 - Device: CPU - Batch Size: 1 - Model: ResNet-50", Higher Results Are Better "a", "b", "c", "TensorFlow 2.16.1 - Device: CPU - Batch Size: 256 - Model: AlexNet", Higher Results Are Better "a", "b", "c", "TensorFlow 2.16.1 - Device: CPU - Batch Size: 16 - Model: GoogLeNet", Higher Results Are Better "a", "b", "c", "TensorFlow 2.16.1 - Device: CPU - Batch Size: 16 - Model: ResNet-50", Higher Results Are Better "a", "b", "c", "TensorFlow 2.16.1 - Device: CPU - Batch Size: 32 - Model: GoogLeNet", Higher Results Are Better "a", "b", "c", "TensorFlow 2.16.1 - Device: CPU - Batch Size: 32 - Model: ResNet-50", Higher Results Are Better "a", "b", "c", "TensorFlow 2.16.1 - Device: CPU - Batch Size: 64 - Model: GoogLeNet", Higher Results Are Better "a", "b", "c", "TensorFlow 2.16.1 - Device: CPU - Batch Size: 64 - Model: ResNet-50", Higher Results Are Better "a", "b", "c", "TensorFlow 2.16.1 - Device: CPU - Batch Size: 256 - Model: GoogLeNet", Higher Results Are Better "a", "b", "c", "TensorFlow 2.16.1 - Device: CPU - Batch Size: 256 - Model: ResNet-50", Higher Results Are Better "a", "b", "c", "Stockfish 16.1 - Chess Benchmark", Higher Results Are Better "a", "b", "c", "RocksDB 9.0 - Test: Overwrite", Higher Results Are Better "a", "b", "c", "RocksDB 9.0 - Test: Random Fill", Higher Results Are Better "a", "b", "c", "RocksDB 9.0 - Test: Random Read", Higher Results Are Better "a", "b", "c", "RocksDB 9.0 - Test: Update Random", Higher Results Are Better "a", "b", "c", "RocksDB 9.0 - Test: Sequential Fill", Higher Results Are Better "a", "b", "c", "RocksDB 9.0 - Test: Random Fill Sync", Higher Results Are Better "a", "b", "c", "RocksDB 9.0 - Test: Read While Writing", Higher Results Are Better "a", "b", "c", "RocksDB 9.0 - Test: Read Random Write Random", Higher Results Are Better "a", "b", "c", "Llamafile 0.7 - Test: llava-v1.5-7b-q4 - Acceleration: CPU", Higher Results Are Better "a", "b", "c", "Llamafile 0.7 - Test: mistral-7b-instruct-v0.2.Q8_0 - Acceleration: CPU", Higher Results Are Better "a", "b", "c", "Llamafile 0.7 - Test: wizardcoder-python-34b-v1.0.Q6_K - Acceleration: CPU", Higher Results Are Better "a", "b", "c", "BRL-CAD 7.38.2 - VGR Performance Metric", Higher Results Are Better "a", "b", "c", "Timed FFmpeg Compilation 7.0 - Time To Compile", Lower Results Are Better "a", "b", "c", "Timed Mesa Compilation 24.0 - Time To Compile", Lower Results Are Better "a", "b", "c", "Blender 4.1 - Blend File: BMW27 - Compute: CPU-Only", Lower Results Are Better "a", "b", "c", "Blender 4.1 - Blend File: Junkshop - Compute: CPU-Only", Lower Results Are Better "a", "b", "c", "Blender 4.1 - Blend File: Classroom - Compute: CPU-Only", Lower Results Are Better "a", "b", "c", "Blender 4.1 - Blend File: Fishy Cat - Compute: CPU-Only", Lower Results Are Better "a", "b", "c", "Blender 4.1 - Blend File: Barbershop - Compute: CPU-Only", Lower Results Are Better "a", "b", "c", "Blender 4.1 - Blend File: Pabellon Barcelona - Compute: CPU-Only", Lower Results Are Better "a", "b", "c",