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
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Limit displaying results to tests within:

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
Programmer / Developer System Benchmarks 4 Tests
Python 3 Tests
Scientific Computing 5 Tests
Server 3 Tests
Server CPU Tests 12 Tests
Single-Threaded 4 Tests
Video Encoding 4 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
Tumbleweed 20220507
May 09 2022
  8 Hours, 35 Minutes
Tumbleweed 20220510
May 13 2022
  10 Hours, 56 Minutes
Invert Hiding All Results Option
  9 Hours, 46 Minutes
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):

openSUSE Tumbleweed GCC12 Benchmarks openSUSE Tumbleweed before/after GCC 12 upgrade. Benchmarks by Michael Larabel for a future article. ,,"Tumbleweed 20220507","Tumbleweed 20220510" Processor,,2 x Intel Xeon Platinum 8380 @ 3.40GHz (80 Cores / 160 Threads),2 x Intel Xeon Platinum 8380 @ 3.40GHz (80 Cores / 160 Threads) Motherboard,,Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS),Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS) Chipset,,Intel Device 0998,Intel Device 0998 Memory,,512GB,512GB Disk,,800GB INTEL SSDPF21Q800GB,800GB INTEL SSDPF21Q800GB Graphics,,ASPEED,ASPEED Monitor,,VE228,VE228 Network,,2 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFP,2 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFP OS,,openSUSE Tumbleweed 20220507,openSUSE 20220510 Kernel,,5.17.4-1-default (x86_64),5.17.5-1-default (x86_64) Compiler,,GCC 11.2.1 20220420 [revision 691af15031e00227ba6d5935c1d737026cda4129],GCC 12.1.0 File-System,,btrfs,btrfs Screen Resolution,,1920x1080,1920x1080 ,,"Tumbleweed 20220507","Tumbleweed 20220510" "WireGuard + Linux Networking Stack Stress Test - (sec)",LIB,580.279,575.210 "Renaissance - Test: Akka Unbalanced Cobwebbed Tree (ms)",LIB,34923.6,34659.4 "Renaissance - Test: ALS Movie Lens (ms)",LIB,18753.2,18758.7 "Renaissance - Test: Finagle HTTP Requests (ms)",LIB,5779.2,5708.6 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,430.983,435.588 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,431.517,436.172 "Renaissance - Test: In-Memory Database Shootout (ms)",LIB,21253.2,19686.6 "Renaissance - Test: Genetic Algorithm Using Jenetics + Futures (ms)",LIB,6895.9,7069.7 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Standard (Inferences/min)",HIB,622,634 "ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard (Inferences/min)",HIB,1820,2132 "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Standard (Inferences/min)",HIB,9395,9620 "Xcompact3d Incompact3d - Input: X3D-benchmarking input.i3d (sec)",LIB,294.412639,293.188894 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,424.347,437.885 "Renaissance - Test: Apache Spark Bayes (ms)",LIB,1130.7,1183.5 "nginx - Concurrent Requests: 200 (Reqs/sec)",HIB,197968.99,196528.56 "LAMMPS Molecular Dynamics Simulator - Model: 20k Atoms (ns/day)",HIB,34.102,35.255 "Apache HTTP Server - Concurrent Requests: 200 (Reqs/sec)",HIB,197075.88,194927.31 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,678.302,676.385 "Zstd Compression - Compression Level: 19 - Decompression Speed (MB/s)",HIB,2576.2,2515.7 "Zstd Compression - Compression Level: 19 - Compression Speed (MB/s)",HIB,84.3,85.4 "Numpy Benchmark - (Score)",HIB,392.96,386.05 "nginx - Concurrent Requests: 500 (Reqs/sec)",HIB,208849.70,206578.82 "Renaissance - Test: Apache Spark PageRank (ms)",LIB,3586.2,3455.4 "Zstd Compression - Compression Level: 19, Long Mode - Decompression Speed (MB/s)",HIB,2674.2,2626.5 "Zstd Compression - Compression Level: 19, Long Mode - Compression Speed (MB/s)",HIB,43.1,42.1 "Zstd Compression - Compression Level: 19, Long Mode - Decompression Speed (MB/s)",HIB,2742.1,2755.5 "Zstd Compression - Compression Level: 19, Long Mode - Compression Speed (MB/s)",HIB,47.7,46.8 "PyPerformance - Benchmark: python_startup (Milliseconds)",LIB,26.5,25.5 "nginx - Concurrent Requests: 1000 (Reqs/sec)",HIB,214270.04,211423.33 "ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Standard (Inferences/min)",HIB,12429,12510 "Zstd Compression - Compression Level: 3 - Compression Speed (MB/s)",HIB,6426.1,6509.6 "Renaissance - Test: Apache Spark ALS (ms)",LIB,2978.4,2964.9 "Zstd Compression - Compression Level: 8, Long Mode - Compression Speed (MB/s)",HIB,323.6,337.8 "PyPerformance - Benchmark: 2to3 (Milliseconds)",LIB,558,525 "Apache HTTP Server - Concurrent Requests: 1000 (Reqs/sec)",HIB,213476.35,210703.41 "Apache HTTP Server - Concurrent Requests: 500 (Reqs/sec)",HIB,206530.83,205683.86 "nginx - Concurrent Requests: 100 (Reqs/sec)",HIB,79426.07,79403.07 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,688.678,658.221 "Renaissance - Test: Random Forest (ms)",LIB,1503.2,1507.3 "libavif avifenc - Encoder Speed: 0 (sec)",LIB,85.511,85.034 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,705.397,695.647 "PyPerformance - Benchmark: go (Milliseconds)",LIB,328,313 "Stockfish - Total Time (Nodes/s)",HIB,184534600,182150796 "PyPerformance - Benchmark: regex_compile (Milliseconds)",LIB,295,272 "libavif avifenc - Encoder Speed: 2 (sec)",LIB,47.816,47.938 "PyPerformance - Benchmark: django_template (Milliseconds)",LIB,85.7,76.5 "Zstd Compression - Compression Level: 19 - Decompression Speed (MB/s)",HIB,2659.8,2650.9 "Zstd Compression - Compression Level: 19 - Compression Speed (MB/s)",HIB,85.8,88.1 "Zstd Compression - Compression Level: 3, Long Mode - Decompression Speed (MB/s)",HIB,3251.9,3215.4 "Zstd Compression - Compression Level: 3, Long Mode - Compression Speed (MB/s)",HIB,278.6,292.3 "PyPerformance - Benchmark: chaos (Milliseconds)",LIB,208,180 "PyPerformance - Benchmark: nbody (Milliseconds)",LIB,219,189 "Zstd Compression - Compression Level: 3, Long Mode - Decompression Speed (MB/s)",HIB,3232.9,3226.6 "Zstd Compression - Compression Level: 3, Long Mode - Compression Speed (MB/s)",HIB,294.9,301.7 "PyPerformance - Benchmark: float (Milliseconds)",LIB,205,187 "PyPerformance - Benchmark: json_loads (Milliseconds)",LIB,37.5,36.9 "Zstd Compression - Compression Level: 8, Long Mode - Decompression Speed (MB/s)",HIB,3248.6,3196.6 "Zstd Compression - Compression Level: 8, Long Mode - Compression Speed (MB/s)",HIB,314.3,318.7 "PyPerformance - Benchmark: crypto_pyaes (Milliseconds)",LIB,194,170 "Zstd Compression - Compression Level: 3 - Decompression Speed (MB/s)",HIB,3062.5,3000.5 "Zstd Compression - Compression Level: 3 - Compression Speed (MB/s)",HIB,6695.2,6645.9 "Stress-NG - Test: System V Message Passing (Bogo Ops/s)",HIB,6948990.47,6134754.47 "GROMACS - Implementation: MPI CPU - Input: water_GMX50_bare (Ns/Day)",HIB,9.052,9.121 "libavif avifenc - Encoder Speed: 6, Lossless (sec)",LIB,9.789,10.070 "PHPBench - PHP Benchmark Suite (Score)",HIB,655272,650951 "Stress-NG - Test: Forking (Bogo Ops/s)",HIB,86555.94,86425.70 "Stress-NG - Test: Malloc (Bogo Ops/s)",HIB,311705065.96,322581943.46 "Stress-NG - Test: SENDFILE (Bogo Ops/s)",HIB,1308526.97,1228020.63 "Stress-NG - Test: Memory Copying (Bogo Ops/s)",HIB,13248.44,13258.18 "Stress-NG - Test: Semaphores (Bogo Ops/s)",HIB,12219151.39,12156959.44 "Stress-NG - Test: MMAP (Bogo Ops/s)",HIB,4664.62,4758.63 "Stress-NG - Test: Matrix Math (Bogo Ops/s)",HIB,307118.55,330917.14 "Stress-NG - Test: CPU Stress (Bogo Ops/s)",HIB,136088.24,139265.42 "Stress-NG - Test: Context Switching (Bogo Ops/s)",HIB,20744069.17,20458137.33 "Stress-NG - Test: Crypto (Bogo Ops/s)",HIB,85026.09,88400.87 "Stress-NG - Test: Glibc Qsort Data Sorting (Bogo Ops/s)",HIB,934.51,937.17 "Stress-NG - Test: Vector Math (Bogo Ops/s)",HIB,324345.37,308630.64 "PyPerformance - Benchmark: pathlib (Milliseconds)",LIB,31.1,28.6 "ASTC Encoder - Preset: Medium (sec)",LIB,5.5042,5.1969 "PyBench - Total For Average Test Times (Milliseconds)",LIB,1206,1110 "DaCapo Benchmark - Java Test: H2 (msec)",LIB,13062,13335 "PyPerformance - Benchmark: pickle_pure_python (Milliseconds)",LIB,790,691 "Tachyon - Total Time (sec)",LIB,23.6253,24.1966 "Algebraic Multi-Grid Benchmark - (Figure Of Merit)",HIB,2159126667,2158861667 "LAMMPS Molecular Dynamics Simulator - Model: Rhodopsin Protein (ns/day)",HIB,24.607,25.850 "ASTC Encoder - Preset: Thorough (sec)",LIB,7.0018,7.1589 "SVT-HEVC - Tuning: 1 - Input: Bosphorus 1080p (FPS)",HIB,29.83,30.09 "SVT-VP9 - Tuning: Visual Quality Optimized - Input: Bosphorus 1080p (FPS)",HIB,175.65,178.91 "Liquid-DSP - Threads: 160 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,1458400000,1715666667 "Liquid-DSP - Threads: 128 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,1410166667,1595800000 "Pennant - Test: sedovbig (Hydro Cycle Time - sec)",LIB,15.70179,15.56548 "libavif avifenc - Encoder Speed: 6 (sec)",LIB,5.878,6.060 "Xcompact3d Incompact3d - Input: input.i3d 193 Cells Per Direction (sec)",LIB,11.4217421,11.3398183 "ASTC Encoder - Preset: Exhaustive (sec)",LIB,8.9358,8.6924 "SVT-AV1 - Encoder Mode: Preset 10 - Input: Bosphorus 4K (FPS)",HIB,80.048,80.182 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,92.525,91.807 "libavif avifenc - Encoder Speed: 10, Lossless (sec)",LIB,7.097,7.315 "SVT-VP9 - Tuning: VMAF Optimized - Input: Bosphorus 1080p (FPS)",HIB,221.22,217.89 "SVT-VP9 - Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p (FPS)",HIB,214.71,213.09 "SVT-HEVC - Tuning: 7 - Input: Bosphorus 1080p (FPS)",HIB,174.38,175.95 "SVT-HEVC - Tuning: 10 - Input: Bosphorus 1080p (FPS)",HIB,264.92,266.83