ss3

AMD EPYC 3255 8-Core Temp testing with a congatec conga-B7E3 (5.13 BIOS) and llvmpipe 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 2107055-IB-SS366363552
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CPU Massive 5 Tests
Creator Workloads 2 Tests
HPC - High Performance Computing 3 Tests
Multi-Core 4 Tests
OpenMPI Tests 2 Tests
Server CPU Tests 4 Tests

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Result
Identifier
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Date
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  Test
  Duration
sysbench-BIOS12Ph10
July 05 2021
  6 Minutes
graphics-magick-BIOS12Ph10
July 05 2021
  22 Minutes
ipc-benchmarkBIOS12Ph10
July 05 2021
  1 Minute
ipc-benchmarkBIOS12Ph10-2
July 05 2021
  3 Minutes
amgBIOS12Ph10
July 05 2021
  2 Minutes
ramspeedBIOS12Ph10
July 05 2021
  37 Minutes
ramspeedBIOS12Ph10-2
July 05 2021
  44 Minutes
npbBIOSPh10
July 06 2021
  20 Minutes
onednnBIOS12Ph10
July 06 2021
  41 Minutes
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ss3 Suite 1.0.0 System Test suite extracted from ss3. pts/amg-1.1.0 pts/graphics-magick-2.0.2 -swirl 90 Operation: Swirl pts/graphics-magick-2.0.2 -rotate 90 Operation: Rotate pts/graphics-magick-2.0.2 -sharpen 0x2.0 Operation: Sharpen pts/graphics-magick-2.0.2 -enhance Operation: Enhanced pts/graphics-magick-2.0.2 -resize 50% Operation: Resizing pts/graphics-magick-2.0.2 -operator all Noise-Gaussian 30% Operation: Noise-Gaussian pts/graphics-magick-2.0.2 -colorspace HWB Operation: HWB Color Space pts/ipc-benchmark-1.0.0 tcp 128 Type: TCP Socket - Message Bytes: 128 pts/ipc-benchmark-1.0.0 tcp 1024 Type: TCP Socket - Message Bytes: 1024 pts/ipc-benchmark-1.0.0 pipe 128 Type: Unnamed Pipe - Message Bytes: 128 pts/ipc-benchmark-1.0.0 pipe 1024 Type: Unnamed Pipe - Message Bytes: 1024 pts/ipc-benchmark-1.0.0 fifo 128 Type: FIFO Named Pipe - Message Bytes: 128 pts/ipc-benchmark-1.0.0 fifo 1024 Type: FIFO Named Pipe - Message Bytes: 1024 pts/ipc-benchmark-1.0.0 socketpair 128 Type: Unnamed Unix Domain Socket - Message Bytes: 128 pts/ipc-benchmark-1.0.0 socketpair 1024 Type: Unnamed Unix Domain Socket - Message Bytes: 1024 pts/npb-1.4.4 ep.C Test / Class: EP.C pts/npb-1.4.4 ep.D Test / Class: EP.D pts/onednn-1.7.0 --ip --batch=inputs/ip/shapes_1d --cfg=f32 --engine=cpu Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU pts/onednn-1.7.0 --ip --batch=inputs/ip/shapes_3d --cfg=f32 --engine=cpu Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU pts/onednn-1.7.0 --ip --batch=inputs/ip/shapes_1d --cfg=u8s8f32 --engine=cpu Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.7.0 --ip --batch=inputs/ip/shapes_3d --cfg=u8s8f32 --engine=cpu Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.7.0 --conv --batch=inputs/conv/shapes_auto --cfg=f32 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU pts/onednn-1.7.0 --deconv --batch=inputs/deconv/shapes_1d --cfg=f32 --engine=cpu Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU pts/onednn-1.7.0 --deconv --batch=inputs/deconv/shapes_3d --cfg=f32 --engine=cpu Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU pts/onednn-1.7.0 --conv --batch=inputs/conv/shapes_auto --cfg=u8s8f32 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.7.0 --deconv --batch=inputs/deconv/shapes_1d --cfg=u8s8f32 --engine=cpu Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.7.0 --deconv --batch=inputs/deconv/shapes_3d --cfg=u8s8f32 --engine=cpu Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.7.0 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=f32 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU pts/onednn-1.7.0 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=f32 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU pts/onednn-1.7.0 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=u8s8f32 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.7.0 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=u8s8f32 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.7.0 --matmul --batch=inputs/matmul/shapes_transformer --cfg=f32 --engine=cpu Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU pts/onednn-1.7.0 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=bf16bf16bf16 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-1.7.0 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=bf16bf16bf16 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-1.7.0 --matmul --batch=inputs/matmul/shapes_transformer --cfg=u8s8f32 --engine=cpu Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU pts/ramspeed-1.4.3 ADD -b 3 Type: Add - Benchmark: Integer pts/ramspeed-1.4.3 SCALE -b 3 Type: Scale - Benchmark: Integer pts/ramspeed-1.4.3 AVERAGE -b 3 Type: Average - Benchmark: Integer pts/ramspeed-1.4.3 ADD -b 6 Type: Add - Benchmark: Floating Point pts/ramspeed-1.4.3 SCALE -b 6 Type: Scale - Benchmark: Floating Point pts/ramspeed-1.4.3 AVERAGE -b 6 Type: Average - Benchmark: Floating Point pts/sysbench-1.1.0 memory run Test: RAM / Memory pts/sysbench-1.1.0 cpu run Test: CPU