epyc-7f72-eo-september

AMD EPYC 7F72 24-Core testing with a ASRockRack EPYCD8 (P2.10 BIOS) and ASPEED on Ubuntu 20.04 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 2009304-FI-EPYC7F72E54
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Bioinformatics 2 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 2 Tests
C/C++ Compiler Tests 3 Tests
CPU Massive 5 Tests
Database Test Suite 2 Tests
Fortran Tests 2 Tests
HPC - High Performance Computing 8 Tests
Machine Learning 4 Tests
NVIDIA GPU Compute 3 Tests
Python Tests 2 Tests
Scientific Computing 4 Tests
Server 2 Tests
Single-Threaded 2 Tests

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  Test
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EPYC 7F72
September 28 2020
  1 Hour, 55 Minutes
EPYC 7F72 x
September 29 2020
  5 Hours, 52 Minutes
2
September 29 2020
  6 Hours, 51 Minutes
3
September 29 2020
  6 Hours, 4 Minutes
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epyc-7f72-eo-september Suite 1.0.0 System Test suite extracted from epyc-7f72-eo-september . pts/hint-1.0.3 FLOAT Test: FLOAT pts/hmmer-1.2.0 Pfam Database Search pts/mafft-1.6.1 Multiple Sequence Alignment - LSU RNA pts/lczero-1.5.1 -b blas Backend: BLAS pts/lczero-1.5.1 -b eigen Backend: Eigen pts/lczero-1.5.1 -b random Backend: Random pts/dolfyn-1.0.3 Computational Fluid Dynamics pts/caffe-1.5.0 --model=../models/bvlc_alexnet/deploy.prototxt -iterations 100 Model: AlexNet - Acceleration: CPU - Iterations: 100 pts/caffe-1.5.0 --model=../models/bvlc_alexnet/deploy.prototxt -iterations 200 Model: AlexNet - Acceleration: CPU - Iterations: 200 pts/caffe-1.5.0 --model=../models/bvlc_alexnet/deploy.prototxt -iterations 1000 Model: AlexNet - Acceleration: CPU - Iterations: 1000 pts/caffe-1.5.0 --model=../models/bvlc_googlenet/deploy.prototxt -iterations 100 Model: GoogleNet - Acceleration: CPU - Iterations: 100 pts/caffe-1.5.0 --model=../models/bvlc_googlenet/deploy.prototxt -iterations 200 Model: GoogleNet - Acceleration: CPU - Iterations: 200 pts/caffe-1.5.0 --model=../models/bvlc_googlenet/deploy.prototxt -iterations 1000 Model: GoogleNet - Acceleration: CPU - Iterations: 1000 pts/ncnn-1.0.3 -1 Target: CPU - Model: squeezenet pts/ncnn-1.0.3 -1 Target: CPU - Model: mobilenet pts/ncnn-1.0.3 -1 Target: CPU-v2-v2 - Model: mobilenet-v2 pts/ncnn-1.0.3 -1 Target: CPU-v3-v3 - Model: mobilenet-v3 pts/ncnn-1.0.3 -1 Target: CPU - Model: shufflenet-v2 pts/ncnn-1.0.3 -1 Target: CPU - Model: mnasnet pts/ncnn-1.0.3 -1 Target: CPU - Model: efficientnet-b0 pts/ncnn-1.0.3 -1 Target: CPU - Model: blazeface pts/ncnn-1.0.3 -1 Target: CPU - Model: googlenet pts/ncnn-1.0.3 -1 Target: CPU - Model: vgg16 pts/ncnn-1.0.3 -1 Target: CPU - Model: resnet18 pts/ncnn-1.0.3 -1 Target: CPU - Model: alexnet pts/ncnn-1.0.3 -1 Target: CPU - Model: resnet50 pts/ncnn-1.0.3 -1 Target: CPU - Model: yolov4-tiny pts/mlpack-1.0.2 SCIKIT_ICA Benchmark: scikit_ica pts/mlpack-1.0.2 SCIKIT_QDA Benchmark: scikit_qda pts/mlpack-1.0.2 SCIKIT_SVM Benchmark: scikit_svm pts/mlpack-1.0.2 SCIKIT_LINEARRIDGEREGRESSION Benchmark: scikit_linearridgeregression pts/ffte-1.2.0 N=256, 3D Complex FFT Routine pts/couchdb-1.0.1 100 1000 24 Bulk Size: 100 - Inserts: 1000 - Rounds: 24 pts/keydb-1.2.0 pts/byte-1.2.2 TEST_DHRY2 Computational Test: Dhrystone 2