ss

AMD EPYC 3255 8-Core Temp testing with a congatec conga-B7E3 (5.13 BIOS) and MSI NVIDIA GeForce GTX 1050 2GB on Ubuntu 16.04 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 2106293-IB-SS230099426
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C/C++ Compiler Tests 4 Tests
CPU Massive 14 Tests
Creator Workloads 2 Tests
HPC - High Performance Computing 3 Tests
Common Kernel Benchmarks 11 Tests
Memory Test Suite 5 Tests
Multi-Core 4 Tests
OpenMPI Tests 2 Tests
Server 2 Tests
Server CPU Tests 8 Tests
Single-Threaded 2 Tests

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Identifier
Performance Per
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Date
Run
  Test
  Duration
sysbench1604Ph10
June 28 2021
  5 Minutes
graphics-magick1604Ph10
June 28 2021
  22 Minutes
ipc-benchmarking1604Ph10
June 28 2021
  4 Minutes
ipc-benchmarking1024-1604Ph10
June 28 2021
  2 Minutes
amg1604Ph10
June 28 2021
  3 Minutes
tensorflow1604PH10
June 28 2021
 
ramspeed1604Ph10
June 28 2021
  50 Minutes
npb1604Ph10
June 28 2021
  34 Minutes
scimark1604Ph10
June 28 2021
  2 Minutes
cachebench1604Ph10
June 28 2021
  19 Minutes
onednn1604Ph10
June 29 2021
  42 Minutes
apache-ctx_clock1604Ph10
June 29 2021
  3 Minutes
ctx-clock1604Ph10
June 29 2021
  1 Minute
hackbenchAll1604Ph10
June 29 2021
 
hackbench1604Ph10
June 29 2021
  6 Minutes
mbw1604Ph10
June 29 2021
  2 Minutes
openssl1604Ph10
June 29 2021
  2 Minutes
perf-bench1604Ph10
June 29 2021
  10 Minutes
schbench8-16-1604Ph10
June 29 2021
  4 Minutes
stress-ng1604Ph10
June 29 2021
  35 Minutes
t-test1-1604Ph10
June 29 2021
  4 Minutes
tinymembench1604Ph10
June 29 2021
  24 Minutes
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ss Suite 1.0.0 System Test suite extracted from ss. pts/stress-ng-1.3.1 --mmap 0 Test: MMAP pts/stress-ng-1.3.1 --numa 0 Test: NUMA pts/stress-ng-1.3.1 --memfd 0 Test: MEMFD pts/stress-ng-1.3.1 --atomic 0 Test: Atomic pts/stress-ng-1.3.1 --crypt 0 Test: Crypto pts/stress-ng-1.3.1 --malloc 0 Test: Malloc pts/stress-ng-1.3.1 --fork 0 Test: Forking pts/stress-ng-1.3.1 --sendfile 0 Test: SENDFILE pts/stress-ng-1.3.1 --cache 0 Test: CPU Cache pts/stress-ng-1.3.1 --cpu 0 --cpu-method all Test: CPU Stress pts/stress-ng-1.3.1 --sem 0 Test: Semaphores pts/stress-ng-1.3.1 --matrix 0 Test: Matrix Math pts/stress-ng-1.3.1 --vecmath 0 Test: Vector Math pts/stress-ng-1.3.1 --memcpy 0 Test: Memory Copying pts/stress-ng-1.3.1 --sock 0 Test: Socket Activity pts/stress-ng-1.3.1 --switch 0 Test: Context Switching pts/stress-ng-1.3.1 --str 0 Test: Glibc C String Functions pts/stress-ng-1.3.1 --qsort 0 Test: Glibc Qsort Data Sorting pts/stress-ng-1.3.1 --msg 0 Test: System V Message Passing pts/sysbench-1.1.0 cpu run Test: CPU pts/amg-1.1.0 pts/perf-bench-1.0.3 mem memcpy -l 100000 -s 1MB Benchmark: Memcpy 1MB pts/perf-bench-1.0.3 mem memset -l 100000 -s 1MB Benchmark: Memset 1MB 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/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/cachebench-1.1.2 -r Test: Read pts/cachebench-1.1.2 -w Test: Write pts/cachebench-1.1.2 -b Test: Read / Modify / Write pts/tinymembench-1.0.2 Standard Memcpy pts/tinymembench-1.0.2 Standard Memset pts/ipc-benchmark-1.0.0 tcp 128 Type: TCP Socket - Message Bytes: 128 pts/ipc-benchmark-1.0.0 pipe 128 Type: Unnamed Pipe - Message Bytes: 128 pts/ipc-benchmark-1.0.0 fifo 128 Type: FIFO Named Pipe - Message Bytes: 128 pts/ipc-benchmark-1.0.0 socketpair 128 Type: Unnamed Unix Domain 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 1024 Type: Unnamed Pipe - Message Bytes: 1024 pts/ipc-benchmark-1.0.0 fifo 1024 Type: FIFO Named Pipe - Message Bytes: 1024 pts/ipc-benchmark-1.0.0 socketpair 1024 Type: Unnamed Unix Domain Socket - Message Bytes: 1024 pts/scimark2-1.3.2 TEST_COMPOSITE Computational Test: Composite pts/scimark2-1.3.2 TEST_MONTE Computational Test: Monte Carlo pts/scimark2-1.3.2 TEST_FFT Computational Test: Fast Fourier Transform pts/scimark2-1.3.2 TEST_SPARSE Computational Test: Sparse Matrix Multiply pts/scimark2-1.3.2 TEST_DENSE Computational Test: Dense LU Matrix Factorization pts/scimark2-1.3.2 TEST_SOR Computational Test: Jacobi Successive Over-Relaxation pts/mbw-1.0.0 -t0 1024 Test: Memory Copy - Array Size: 1024 MiB pts/mbw-1.0.0 -t2 1024 Test: Memory Copy, Fixed Block Size - Array Size: 1024 MiB pts/perf-bench-1.0.3 epoll wait -r 30 Benchmark: Epoll Wait pts/perf-bench-1.0.3 futex hash -r 30 -s Benchmark: Futex Hash pts/perf-bench-1.0.3 sched pipe -l 5000000 Benchmark: Sched Pipe pts/perf-bench-1.0.3 futex lock-pi -r 30 -s Benchmark: Futex Lock-Pi pts/perf-bench-1.0.3 syscall basic -l 100000000 Benchmark: Syscall Basic pts/apache-1.7.2 Static Web Page Serving pts/openssl-1.11.0 RSA 4096-bit Performance pts/npb-1.4.4 ep.C Test / Class: EP.C pts/npb-1.4.4 ep.D Test / Class: EP.D pts/ctx-clock-1.0.0 Context Switch Time 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/hackbench-1.0.0 16 thread Count: 16 - Type: Thread pts/hackbench-1.0.0 16 process Count: 16 - Type: Process pts/t-test1-1.0.1 1 Threads: 1 pts/t-test1-1.0.1 2 Threads: 2 pts/schbench-1.0.0 -m 8 -t 16 Message Threads: 8 - Workers Per Message Thread: 16