Spring 2022 Linux Server Benchmarks Xeon Ice Lake

2 x Intel Xeon Platinum 8380 Linux server distro benchmarks by Michael Larabel for a future article..

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2205127-NE-XEONLINUX78
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AV1 2 Tests
C++ Boost Tests 2 Tests
C/C++ Compiler Tests 9 Tests
CPU Massive 15 Tests
Creator Workloads 11 Tests
Encoding 4 Tests
Fortran Tests 2 Tests
Game Development 2 Tests
Go Language Tests 2 Tests
HPC - High Performance Computing 8 Tests
Java 2 Tests
Common Kernel Benchmarks 2 Tests
Machine Learning 3 Tests
Molecular Dynamics 4 Tests
MPI Benchmarks 4 Tests
Multi-Core 16 Tests
NVIDIA GPU Compute 3 Tests
Intel oneAPI 3 Tests
OpenMPI Tests 5 Tests
Programmer / Developer System Benchmarks 5 Tests
Python 3 Tests
Raytracing 2 Tests
Renderers 4 Tests
Scientific Computing 5 Tests
Server 3 Tests
Server CPU Tests 12 Tests
Single-Threaded 4 Tests
Video Encoding 4 Tests

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Date
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  Test
  Duration
Clear Linux 36260
May 04 2022
  9 Hours
Ubuntu 22.04 LTS
May 05 2022
  13 Hours, 44 Minutes
Ubuntu 20.04.4 LTS
May 06 2022
  9 Hours, 30 Minutes
Fedora Server 36
May 07 2022
  11 Hours, 54 Minutes
AlmaLinux 8.5
May 08 2022
  5 Hours, 38 Minutes
CentOS Stream 9
May 08 2022
  6 Hours, 50 Minutes
openSUSE Tumbleweed
May 09 2022
  11 Hours, 6 Minutes
Arch Linux
May 10 2022
  10 Hours, 11 Minutes
Debian 11.3
May 11 2022
  12 Hours, 6 Minutes
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Spring 2022 Linux Server Benchmarks Xeon Ice Lake Suite 1.0.0 System Test suite extracted from Spring 2022 Linux Server Benchmarks Xeon Ice Lake. system/compress-zstd-1.5.0 -b8 --long Compression Level: 8, Long Mode - Compression Speed pts/apache-2.0.1 -c 1000 Concurrent Requests: 1000 pts/apache-2.0.1 -c 500 Concurrent Requests: 500 pts/renaissance-1.2.0 db-shootout Test: In-Memory Database Shootout pts/renaissance-1.2.0 future-genetic Test: Genetic Algorithm Using Jenetics + Futures pts/apache-2.0.1 -c 200 Concurrent Requests: 200 pts/dacapobench-1.0.1 h2 Java Test: H2 pts/compress-zstd-1.5.0 -b3 --long Compression Level: 3, Long Mode - Compression Speed pts/compress-zstd-1.5.0 -b8 --long Compression Level: 8, Long Mode - Compression Speed pts/renaissance-1.2.0 movie-lens Test: ALS Movie Lens pts/pyperformance-1.0.2 python_startup Benchmark: python_startup system/compress-zstd-1.5.0 -b19 --long Compression Level: 19, Long Mode - Compression Speed pts/nginx-2.0.1 -c 100 Concurrent Requests: 100 pts/svt-vp9-1.3.0 -tune 0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Tuning: Visual Quality Optimized - Input: Bosphorus 1080p pts/svt-vp9-1.3.0 -tune 1 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p pts/svt-vp9-1.3.0 -tune 2 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Tuning: VMAF Optimized - Input: Bosphorus 1080p pts/liquid-dsp-1.0.0 -n 128 -b 256 -f 57 Threads: 128 - Buffer Length: 256 - Filter Length: 57 pts/svt-hevc-1.2.0 -encMode 10 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Tuning: 10 - Input: Bosphorus 1080p pts/renaissance-1.2.0 naive-bayes Test: Apache Spark Bayes pts/svt-av1-2.5.0 --preset 10 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 10 - Input: Bosphorus 4K pts/renaissance-1.2.0 als Test: Apache Spark ALS pts/phpbench-1.1.6 PHP Benchmark Suite pts/liquid-dsp-1.0.0 -n 160 -b 256 -f 57 Threads: 160 - Buffer Length: 256 - Filter Length: 57 pts/svt-hevc-1.2.0 -encMode 7 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Tuning: 7 - Input: Bosphorus 1080p pts/svt-av1-2.5.0 --preset 12 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 12 - Input: Bosphorus 4K pts/renaissance-1.2.0 akka-uct Test: Akka Unbalanced Cobwebbed Tree system/wireguard-1.0.1 pts/renaissance-1.2.0 dec-tree Test: Random Forest pts/renaissance-1.2.0 finagle-http Test: Finagle HTTP Requests pts/nginx-2.0.1 -c 200 Concurrent Requests: 200 pts/pyperformance-1.0.2 chaos Benchmark: chaos pts/pyperformance-1.0.2 float Benchmark: float pts/pennant-1.1.0 sedovbig/sedovbig.pnt Test: sedovbig system/compress-zstd-1.5.0 -b3 --long Compression Level: 3, Long Mode - Compression Speed pts/renaissance-1.2.0 page-rank Test: Apache Spark PageRank pts/pyperformance-1.0.2 django_template Benchmark: django_template pts/pyperformance-1.0.2 pathlib Benchmark: pathlib pts/pyperformance-1.0.2 crypto_pyaes Benchmark: crypto_pyaes pts/onnx-1.5.0 super_resolution/super_resolution.onnx -e cpu Model: super-resolution-10 - Device: CPU - Executor: Standard pts/pyperformance-1.0.2 2to3 Benchmark: 2to3 pts/avifenc-1.2.0 -s 10 -l Encoder Speed: 10, Lossless system/compress-zstd-1.5.0 -b3 Compression Level: 3 - Compression Speed pts/pyperformance-1.0.2 nbody Benchmark: nbody pts/pyperformance-1.0.2 regex_compile Benchmark: regex_compile pts/compress-zstd-1.5.0 -b3 Compression Level: 3 - Compression Speed pts/renaissance-1.2.0 reactors Test: Savina Reactors.IO system/compress-zstd-1.5.0 -b3 Compression Level: 3 - Decompression Speed pts/pyperformance-1.0.2 json_loads Benchmark: json_loads pts/avifenc-1.2.0 -s 6 -l Encoder Speed: 6, Lossless pts/pyperformance-1.0.2 go Benchmark: go pts/avifenc-1.2.0 -s 6 Encoder Speed: 6 system/compress-zstd-1.5.0 -b19 Compression Level: 19 - Compression Speed pts/onednn-1.8.0 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=u8s8f32 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU pts/luxcorerender-1.4.0 DanishMood/LuxCoreScene/render.cfg -D renderengine.type PATHCPU Scene: Danish Mood - Acceleration: CPU pts/build-gem5-1.0.0 Time To Compile pts/svt-hevc-1.2.0 -encMode 1 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Tuning: 1 - Input: Bosphorus 1080p pts/onednn-1.8.0 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=u8s8f32 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.8.0 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=f32 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU pts/onednn-1.8.0 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=bf16bf16bf16 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU pts/quantlib-1.0.0 pts/pybench-1.1.3 Total For Average Test Times pts/onnx-1.5.0 resnet100/resnet100.onnx -e cpu Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard pts/numpy-1.2.1 pts/incompact3d-2.0.2 input.i3d Input: X3D-benchmarking input.i3d pts/nginx-2.0.1 -c 500 Concurrent Requests: 500 pts/incompact3d-2.0.2 input_193_nodes.i3d Input: input.i3d 193 Cells Per Direction pts/embree-1.2.1 pathtracer_ispc -c crown/crown.ecs Binary: Pathtracer ISPC - Model: Crown pts/compress-zstd-1.5.0 -b19 --long Compression Level: 19, Long Mode - Compression Speed pts/nginx-2.0.1 -c 1000 Concurrent Requests: 1000 pts/onnx-1.5.0 yolov4/yolov4.onnx -e cpu Model: yolov4 - Device: CPU - Executor: Standard pts/compress-zstd-1.5.0 -b19 Compression Level: 19 - Compression Speed system/compress-zstd-1.5.0 -b8 --long Compression Level: 8, Long Mode - Decompression Speed system/compress-zstd-1.5.0 -b3 --long Compression Level: 3, Long Mode - Decompression Speed pts/gromacs-1.6.0 mpi-build water-cut1.0_GMX50_bare/1536 Implementation: MPI CPU - Input: water_GMX50_bare pts/tachyon-1.3.0 Total Time pts/avifenc-1.2.0 -s 2 Encoder Speed: 2 pts/astcenc-1.3.1 -exhaustive Preset: Exhaustive pts/blender-3.0.0 -b ../fishy_cat_gpu.blend -o output.test -x 1 -F JPEG -f 1 NONE Blend File: Fishy Cat - Compute: CPU-Only system/compress-zstd-1.5.0 -b19 --long Compression Level: 19, Long Mode - Decompression Speed system/compress-zstd-1.5.0 -b19 Compression Level: 19 - Decompression Speed pts/avifenc-1.2.0 -s 0 Encoder Speed: 0 pts/stockfish-1.3.0 Total Time pts/blender-3.0.0 -b ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 NONE Blend File: BMW27 - Compute: CPU-Only pts/blender-3.0.0 -b ../barbershop_interior_gpu.blend -o output.test -x 1 -F JPEG -f 1 NONE Blend File: Barbershop - Compute: CPU-Only pts/luxcorerender-1.4.0 DLSC/LuxCoreScene/render.cfg -D renderengine.type PATHCPU Scene: DLSC - Acceleration: CPU pts/amg-1.1.0 pts/luxcorerender-1.4.0 OrangeJuice/LuxCoreScene/render.cfg -D renderengine.type PATHCPU Scene: Orange Juice - Acceleration: CPU pts/blender-3.0.0 -b ../pavillon_barcelone_gpu.blend -o output.test -x 1 -F JPEG -f 1 NONE Blend File: Pabellon Barcelona - Compute: CPU-Only pts/embree-1.2.1 pathtracer -c asian_dragon/asian_dragon.ecs Binary: Pathtracer - Model: Asian Dragon pts/blender-3.0.0 -b ../classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 NONE Blend File: Classroom - Compute: CPU-Only pts/embree-1.2.1 pathtracer_ispc -c asian_dragon/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon pts/onnx-1.5.0 GPT2/model.onnx -e cpu Model: GPT-2 - Device: CPU - Executor: Standard pts/pyperformance-1.0.2 pickle_pure_python Benchmark: pickle_pure_python pts/astcenc-1.3.1 -medium Preset: Medium pts/onednn-1.8.0 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=bf16bf16bf16 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-1.8.0 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=f32 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU pts/ospray-2.9.0 --benchmark_filter=particle_volume/pathtracer/real_time Benchmark: particle_volume/pathtracer/real_time pts/luxcorerender-1.4.0 LuxCore2.1Benchmark/LuxCoreScene/render.cfg -D renderengine.type PATHCPU Scene: LuxCore Benchmark - Acceleration: CPU pts/renaissance-1.2.0 dotty Test: Scala Dotty pts/dacapobench-1.0.1 jython Java Test: Jython pts/lammps-1.3.2 in.rhodo Model: Rhodopsin Protein