AMD EPYC 7F72 2P Linux 5.11 Perf Governor

2 x AMD EPYC 7F72 24-Core testing looking at CPU freq invariance on 5.11 with patch. CPU power consumption monitoring via AMD_Energy interface at 1 second polling. Additional data with CPUFreq performance governor included.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2102048-HA-AMDEPYC7F37
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AV1 2 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 3 Tests
C++ Boost Tests 2 Tests
C/C++ Compiler Tests 5 Tests
CPU Massive 12 Tests
Creator Workloads 6 Tests
Database Test Suite 2 Tests
Encoding 3 Tests
Fortran Tests 3 Tests
HPC - High Performance Computing 11 Tests
LAPACK (Linear Algebra Pack) Tests 2 Tests
Machine Learning 5 Tests
Molecular Dynamics 2 Tests
MPI Benchmarks 3 Tests
Multi-Core 11 Tests
NVIDIA GPU Compute 2 Tests
Intel oneAPI 2 Tests
OpenMPI Tests 6 Tests
Python Tests 2 Tests
Renderers 2 Tests
Scientific Computing 4 Tests
Server 2 Tests
Server CPU Tests 8 Tests
Video Encoding 3 Tests
Common Workstation Benchmarks 2 Tests

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  Test
  Duration
CPUFreq Performance
January 24 2021
  6 Hours, 39 Minutes
Linux 5.11 Git
January 22 2021
  5 Hours, 35 Minutes
Linux 5.11 Giovanni Patch
January 23 2021
  5 Hours, 41 Minutes
Linux 5.11 Rafael Patch
February 03 2021
  6 Hours, 39 Minutes
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  6 Hours, 8 Minutes

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AMD EPYC 7F72 2P Linux 5.11 Perf Governor Suite 1.0.0 System Test suite extracted from AMD EPYC 7F72 2P Linux 5.11 Perf Governor. pts/dav1d-1.7.1 -i summer_nature_4k.ivf Video Input: Summer Nature 4K pts/dav1d-1.7.1 -i chimera_10b_1080p.ivf Video Input: Chimera 1080p 10-bit pts/ospray-1.0.3 magnetic-512-volume/magnetic-512-volume.osp --renderer pathtracer Demo: Magnetic Reconnection - Renderer: Path Tracer pts/ospray-1.0.3 sanm/sanm.obj -vp 22.958788 3.204613 2.712676 -vu 0.000000 1.000000 0.000000 -vi 12.364944 0.176316 4.009342 -sg:sun:intensity=4.0 -sg:sun:direction=0,-1,0 -sg:bounce:intensity=0.0 --hdri-light rnl_probe.pfm -sg:hdri:intensity=1.25 --renderer scivis Demo: San Miguel - Renderer: SciVis pts/ttsiod-renderer-1.7.0 Phong Rendering With Soft-Shadow Mapping pts/x265-1.3.0 Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Video Input: Bosphorus 1080p pts/rav1e-1.5.0 -s 10 -l 90 Speed: 10 pts/x265-1.3.0 Bosphorus_3840x2160.y4m Video Input: Bosphorus 4K pts/rav1e-1.5.0 -s 6 -l 60 Speed: 6 pts/rav1e-1.5.0 -s 5 -l 60 Speed: 5 pts/onnx-1.0.1 yolov4/yolov4.onnx -e cpu Model: yolov4 - Device: OpenMP CPU pts/cpuminer-opt-1.4.0 -a skein Algorithm: Skeincoin pts/cpuminer-opt-1.4.0 -a lbry Algorithm: LBC, LBRY Credits pts/lczero-1.5.1 -b blas Backend: BLAS pts/lczero-1.5.1 -b eigen Backend: Eigen pts/lammps-1.3.2 in.rhodo Model: Rhodopsin Protein pts/redis-1.3.1 -t set Test: SET pts/ai-benchmark-1.0.1 Device Inference Score pts/ai-benchmark-1.0.1 Device Training Score pts/ai-benchmark-1.0.1 Device AI Score pts/clomp-1.1.1 Static OMP Speedup pts/npb-1.4.2 lu.C Test / Class: LU.C pts/influxdb-1.0.0 -c 64 -b 10000 -t 2,5000,1 -p 10000 Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 pts/influxdb-1.0.0 -c 4 -b 10000 -t 2,5000,1 -p 10000 Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 pts/tensorflow-lite-1.0.0 --graph=mobilenet_v1_1.0_224.tflite Model: Mobilenet Float pts/tensorflow-lite-1.0.0 --graph=mobilenet_v1_1.0_224_quant.tflite Model: Mobilenet Quant pts/tensorflow-lite-1.0.0 --graph=nasnet_mobile.tflite Model: NASNet Mobile pts/tensorflow-lite-1.0.0 --graph=squeezenet.tflite Model: SqueezeNet pts/tensorflow-lite-1.0.0 --graph=inception_resnet_v2.tflite Model: Inception ResNet V2 pts/tensorflow-lite-1.0.0 --graph=inception_v4.tflite Model: Inception V4 pts/onednn-1.6.1 --conv --batch=inputs/conv/shapes_auto --cfg=f32 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU pts/onednn-1.6.1 --deconv --batch=inputs/deconv/shapes_1d --cfg=f32 --engine=cpu Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU pts/onednn-1.6.1 --ip --batch=inputs/ip/shapes_3d --cfg=f32 --engine=cpu Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU pts/onednn-1.6.1 --matmul --batch=inputs/matmul/shapes_transformer --cfg=f32 --engine=cpu Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU pts/dacapobench-1.0.1 jython Java Test: Jython pts/dacapobench-1.0.1 tradebeans Java Test: Tradebeans pts/dacapobench-1.0.1 tradesoap Java Test: Tradesoap pts/build-gdb-1.0.1 Time To Compile pts/openfoam-1.0.1 Motorbike 150 60 60 Input: Motorbike 30M pts/openfoam-1.0.1 Motorbike 300 120 120 Input: Motorbike 60M pts/qe-1.0.2 ausurf.in Input: AUSURF112 pts/rodinia-1.3.1 OMP_CFD Test: OpenMP CFD Solver pts/rodinia-1.3.1 OMP_STREAMCLUSTER Test: OpenMP Streamcluster pts/qmcpack-1.2.1 H2O/example_H2O-1-1 simple-H2O.xml Input: simple-H2O