openSUSE Tumbleweed GCC12 Benchmarks

openSUSE Tumbleweed before/after GCC 12 upgrade. 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 2205149-NE-TUMBLEWEE25
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AV1 2 Tests
C/C++ Compiler Tests 9 Tests
CPU Massive 15 Tests
Creator Workloads 7 Tests
Encoding 4 Tests
Fortran Tests 2 Tests
Go Language Tests 2 Tests
HPC - High Performance Computing 8 Tests
Java 2 Tests
Common Kernel Benchmarks 3 Tests
Machine Learning 3 Tests
Molecular Dynamics 4 Tests
MPI Benchmarks 4 Tests
Multi-Core 11 Tests
OpenMPI Tests 5 Tests
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Python 3 Tests
Scientific Computing 5 Tests
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Server CPU Tests 12 Tests
Single-Threaded 4 Tests
Video Encoding 4 Tests

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Tumbleweed 20220507
May 09 2022
  8 Hours, 35 Minutes
Tumbleweed 20220510
May 13 2022
  10 Hours, 56 Minutes
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openSUSE Tumbleweed GCC12 Benchmarks Suite 1.0.0 System Test suite extracted from openSUSE Tumbleweed GCC12 Benchmarks. system/wireguard-1.0.1 pts/renaissance-1.2.0 akka-uct Test: Akka Unbalanced Cobwebbed Tree pts/renaissance-1.2.0 movie-lens Test: ALS Movie Lens pts/renaissance-1.2.0 finagle-http Test: Finagle HTTP Requests 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/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/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/onnx-1.5.0 yolov4/yolov4.onnx -e cpu Model: yolov4 - Device: CPU - Executor: Standard pts/onnx-1.5.0 resnet100/resnet100.onnx -e cpu Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard pts/onnx-1.5.0 GPT2/model.onnx -e cpu Model: GPT-2 - Device: CPU - Executor: Standard pts/incompact3d-2.0.2 input.i3d Input: X3D-benchmarking input.i3d 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/renaissance-1.2.0 naive-bayes Test: Apache Spark Bayes pts/nginx-2.0.1 -c 200 Concurrent Requests: 200 pts/lammps-1.3.2 benchmark_20k_atoms.in Model: 20k Atoms pts/apache-2.0.1 -c 200 Concurrent Requests: 200 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 system/compress-zstd-1.5.0 -b19 Compression Level: 19 - Decompression Speed system/compress-zstd-1.5.0 -b19 Compression Level: 19 - Compression Speed pts/numpy-1.2.1 pts/nginx-2.0.1 -c 500 Concurrent Requests: 500 pts/renaissance-1.2.0 page-rank Test: Apache Spark PageRank system/compress-zstd-1.5.0 -b19 --long Compression Level: 19, Long Mode - Decompression Speed system/compress-zstd-1.5.0 -b19 --long Compression Level: 19, Long Mode - Compression Speed pts/compress-zstd-1.5.0 -b19 --long Compression Level: 19, Long Mode - Decompression Speed pts/compress-zstd-1.5.0 -b19 --long Compression Level: 19, Long Mode - Compression Speed pts/pyperformance-1.0.2 python_startup Benchmark: python_startup pts/nginx-2.0.1 -c 1000 Concurrent Requests: 1000 pts/onnx-1.5.0 super_resolution/super_resolution.onnx -e cpu Model: super-resolution-10 - Device: CPU - Executor: Standard pts/compress-zstd-1.5.0 -b3 Compression Level: 3 - Compression Speed pts/renaissance-1.2.0 als Test: Apache Spark ALS pts/compress-zstd-1.5.0 -b8 --long Compression Level: 8, Long Mode - Compression Speed pts/pyperformance-1.0.2 2to3 Benchmark: 2to3 pts/apache-2.0.1 -c 1000 Concurrent Requests: 1000 pts/apache-2.0.1 -c 500 Concurrent Requests: 500 pts/nginx-2.0.1 -c 100 Concurrent Requests: 100 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/renaissance-1.2.0 dec-tree Test: Random Forest pts/avifenc-1.2.0 -s 0 Encoder Speed: 0 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/pyperformance-1.0.2 go Benchmark: go pts/stockfish-1.3.0 Total Time pts/pyperformance-1.0.2 regex_compile Benchmark: regex_compile pts/avifenc-1.2.0 -s 2 Encoder Speed: 2 pts/pyperformance-1.0.2 django_template Benchmark: django_template pts/compress-zstd-1.5.0 -b19 Compression Level: 19 - Decompression Speed pts/compress-zstd-1.5.0 -b19 Compression Level: 19 - Compression Speed system/compress-zstd-1.5.0 -b3 --long Compression Level: 3, Long Mode - Decompression Speed system/compress-zstd-1.5.0 -b3 --long Compression Level: 3, Long Mode - Compression Speed pts/pyperformance-1.0.2 chaos Benchmark: chaos pts/pyperformance-1.0.2 nbody Benchmark: nbody pts/compress-zstd-1.5.0 -b3 --long Compression Level: 3, Long Mode - Decompression Speed pts/compress-zstd-1.5.0 -b3 --long Compression Level: 3, Long Mode - Compression Speed pts/pyperformance-1.0.2 float Benchmark: float pts/pyperformance-1.0.2 json_loads Benchmark: json_loads system/compress-zstd-1.5.0 -b8 --long Compression Level: 8, Long Mode - Decompression Speed system/compress-zstd-1.5.0 -b8 --long Compression Level: 8, Long Mode - Compression Speed pts/pyperformance-1.0.2 crypto_pyaes Benchmark: crypto_pyaes system/compress-zstd-1.5.0 -b3 Compression Level: 3 - Decompression Speed system/compress-zstd-1.5.0 -b3 Compression Level: 3 - Compression Speed pts/stress-ng-1.5.1 --msg 0 Test: System V Message Passing pts/gromacs-1.6.0 mpi-build water-cut1.0_GMX50_bare/1536 Implementation: MPI CPU - Input: water_GMX50_bare pts/avifenc-1.2.0 -s 6 -l Encoder Speed: 6, Lossless pts/phpbench-1.1.6 PHP Benchmark Suite pts/stress-ng-1.5.1 --fork 0 Test: Forking pts/stress-ng-1.5.1 --malloc 0 Test: Malloc pts/stress-ng-1.5.1 --sendfile 0 Test: SENDFILE pts/stress-ng-1.5.1 --memcpy 0 Test: Memory Copying pts/stress-ng-1.5.1 --sem 0 Test: Semaphores pts/stress-ng-1.5.1 --mmap 0 Test: MMAP pts/stress-ng-1.5.1 --matrix 0 Test: Matrix Math pts/stress-ng-1.5.1 --cpu 0 --cpu-method all Test: CPU Stress pts/stress-ng-1.5.1 --switch 0 Test: Context Switching pts/stress-ng-1.5.1 --crypt 0 Test: Crypto pts/stress-ng-1.5.1 --qsort 0 Test: Glibc Qsort Data Sorting pts/stress-ng-1.5.1 --vecmath 0 Test: Vector Math pts/pyperformance-1.0.2 pathlib Benchmark: pathlib pts/astcenc-1.3.1 -medium Preset: Medium pts/pybench-1.1.3 Total For Average Test Times pts/dacapobench-1.0.1 h2 Java Test: H2 pts/pyperformance-1.0.2 pickle_pure_python Benchmark: pickle_pure_python pts/tachyon-1.3.0 Total Time pts/amg-1.1.0 pts/lammps-1.3.2 in.rhodo Model: Rhodopsin Protein pts/astcenc-1.3.1 -thorough Preset: Thorough 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/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/liquid-dsp-1.0.0 -n 160 -b 256 -f 57 Threads: 160 - Buffer Length: 256 - Filter Length: 57 pts/liquid-dsp-1.0.0 -n 128 -b 256 -f 57 Threads: 128 - Buffer Length: 256 - Filter Length: 57 pts/pennant-1.1.0 sedovbig/sedovbig.pnt Test: sedovbig pts/avifenc-1.2.0 -s 6 Encoder Speed: 6 pts/incompact3d-2.0.2 input_193_nodes.i3d Input: input.i3d 193 Cells Per Direction pts/astcenc-1.3.1 -exhaustive Preset: Exhaustive pts/svt-av1-2.5.0 --preset 10 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 10 - Input: Bosphorus 4K pts/svt-av1-2.5.0 --preset 12 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 12 - Input: Bosphorus 4K pts/avifenc-1.2.0 -s 10 -l Encoder Speed: 10, Lossless 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/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-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-hevc-1.2.0 -encMode 10 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Tuning: 10 - Input: Bosphorus 1080p