Oktoberfest Benchmarks

Intel Xeon Gold 5218R testing with a GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS) and llvmpipe on Ubuntu 18.04 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 2010183-FI-OKTOBERFE24
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C/C++ Compiler Tests 5 Tests
CPU Massive 7 Tests
Creator Workloads 4 Tests
Fortran Tests 4 Tests
HPC - High Performance Computing 13 Tests
Imaging 2 Tests
Machine Learning 5 Tests
Molecular Dynamics 5 Tests
MPI Benchmarks 3 Tests
Multi-Core 5 Tests
NVIDIA GPU Compute 2 Tests
OpenMPI Tests 3 Tests
Programmer / Developer System Benchmarks 2 Tests
Python Tests 2 Tests
Scientific Computing 8 Tests
Server CPU Tests 3 Tests
Single-Threaded 3 Tests
Speech 2 Tests
Telephony 2 Tests

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Date
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  Test
  Duration
Xeon Gold 6248R 2P
October 11 2020
  7 Hours, 31 Minutes
Xeon Gold 6248R
October 13 2020
  2 Hours, 31 Minutes
Xeon Gold 6238R
October 14 2020
  6 Hours, 4 Minutes
Xeon Gold 6238R 2P
October 15 2020
  6 Hours, 27 Minutes
Xeon Gold 5218R
October 18 2020
  6 Hours, 19 Minutes
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  5 Hours, 47 Minutes

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Oktoberfest Benchmarks Suite 1.0.0 System Test suite extracted from Oktoberfest Benchmarks. pts/caffe-1.5.0 --model=../models/bvlc_googlenet/deploy.prototxt -iterations 1000 Model: GoogleNet - Acceleration: CPU - Iterations: 1000 pts/caffe-1.5.0 --model=../models/bvlc_alexnet/deploy.prototxt -iterations 1000 Model: AlexNet - Acceleration: CPU - Iterations: 1000 pts/lammps-1.2.1 benchmark_20k_atoms.in Model: 20k Atoms pts/hint-1.0.3 FLOAT Test: FLOAT pts/caffe-1.5.0 --model=../models/bvlc_googlenet/deploy.prototxt -iterations 200 Model: GoogleNet - Acceleration: CPU - Iterations: 200 pts/build-llvm-1.2.1 Time To Compile pts/mnn-1.0.1 Model: inception-v3 pts/mnn-1.0.1 Model: mobilenet-v1-1.0 pts/mnn-1.0.1 Model: MobileNetV2_224 pts/mnn-1.0.1 Model: resnet-v2-50 pts/mnn-1.0.1 Model: SqueezeNetV1.0 pts/caffe-1.5.0 --model=../models/bvlc_alexnet/deploy.prototxt -iterations 200 Model: AlexNet - Acceleration: CPU - Iterations: 200 pts/kripke-1.0.0 pts/caffe-1.5.0 --model=../models/bvlc_googlenet/deploy.prototxt -iterations 100 Model: GoogleNet - Acceleration: CPU - Iterations: 100 pts/incompact3d-1.0.0 examples/Cylinder/input.i3d Input: Cylinder pts/hmmer-1.2.0 Pfam Database Search pts/tensorflow-lite-1.0.0 --graph=nasnet_mobile.tflite Model: NASNet Mobile 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/caffe-1.5.0 --model=../models/bvlc_alexnet/deploy.prototxt -iterations 100 Model: AlexNet - Acceleration: CPU - Iterations: 100 pts/byte-1.2.2 TEST_DHRY2 Computational Test: Dhrystone 2 pts/tensorflow-lite-1.0.0 --graph=squeezenet.tflite Model: SqueezeNet pts/compress-zstd-1.2.1 -b3 Compression Level: 3 pts/tensorflow-lite-1.0.0 --graph=inception_v4.tflite Model: Inception V4 pts/tensorflow-lite-1.0.0 --graph=inception_resnet_v2.tflite Model: Inception ResNet V2 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/influxdb-1.0.0 -c 1024 -b 10000 -t 2,5000,1 -p 10000 Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 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/gromacs-1.4.0 Water Benchmark pts/compress-zstd-1.2.1 -b19 Compression Level: 19 pts/espeak-1.6.0 Text-To-Speech Synthesis pts/webp-1.0.0 -q 100 -lossless -m 6 Encode Settings: Quality 100, Lossless, Highest Compression pts/namd-1.2.1 ATPase Simulation - 327,506 Atoms pts/libraw-1.0.0 Post-Processing Benchmark pts/rnnoise-1.0.2 pts/tnn-1.0.0 -dt NAIVE -mp ../benchmark/benchmark-model/mobilenet_v2.tnnproto Target: CPU - Model: MobileNet v2 pts/dolfyn-1.0.3 Computational Fluid Dynamics pts/tnn-1.0.0 -dt NAIVE -mp ../benchmark/benchmark-model/squeezenet_v1.1.tnnproto Target: CPU - Model: SqueezeNet v1.1 pts/webp-1.0.0 -q 100 -lossless Encode Settings: Quality 100, Lossless pts/webp-1.0.0 -q 100 -m 6 Encode Settings: Quality 100, Highest Compression pts/ffte-1.2.1 N=256, 3D Complex FFT Routine pts/webp-1.0.0 -q 100 Encode Settings: Quality 100 pts/lammps-1.2.1 in.rhodo Model: Rhodopsin Protein pts/webp-1.0.0 Encode Settings: Default