Xeon Platinum 8380 openSUSE Leap 15.4

2 x Intel Xeon Platinum 8380 testing with a Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS) and ASPEED on openSUSE Leap 15.4 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 2206217-NE-XEONPLATI80
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openSUSE Leap 15.4
June 20 2022
  10 Hours, 3 Minutes
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Xeon Platinum 8380 openSUSE Leap 15.4OpenBenchmarking.orgPhoronix Test Suite2 x Intel Xeon Platinum 8380 @ 3.40GHz (80 Cores / 160 Threads)Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS)Intel Device 0998512GB3841GB Micron_9300_MTFDHAL3T8TDP + 7682GB INTEL SSDPF2KX076TZ + 32GB Flash DriveASPEEDVE2282 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFPopenSUSE Leap 15.45.14.21-150400.22-default (x86_64)KDE PlasmaX Server 1.20.3GCC 7.5.0btrfs1920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerCompilerFile-SystemScreen ResolutionXeon Platinum 8380 OpenSUSE Leap 15.4 BenchmarksSystem Logs- Transparent Huge Pages: always- LIBGL_DEBUG=quiet- --build=x86_64-suse-linux --disable-libcc1 --disable-libssp --disable-libstdcxx-pch --disable-libvtv --disable-plugin --disable-werror --enable-checking=release --enable-gnu-indirect-function --enable-languages=c,c++,objc,fortran,obj-c++,ada,go --enable-libstdcxx-allocator=new --enable-linux-futex --enable-multilib --enable-offload-targets=hsa,nvptx-none, --enable-ssp --enable-version-specific-runtime-libs --host=x86_64-suse-linux --mandir=/usr/share/man --with-arch-32=x86-64 --with-gcc-major-version-only --with-slibdir=/lib64 --with-tune=generic --without-cuda-driver --without-system-libunwind - Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0xd000363- Python 3.6.15- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Xeon Platinum 8380 openSUSE Leap 15.4hpcg: namd: ATPase Simulation - 327,506 Atomsmrbayes: Primate Phylogeny Analysisincompact3d: X3D-benchmarking input.i3dincompact3d: input.i3d 129 Cells Per Directionincompact3d: input.i3d 193 Cells Per Directionwebp: Defaultwebp: Quality 100webp: Quality 100, Losslesswebp: Quality 100, Highest Compressionwebp: Quality 100, Lossless, Highest Compressionsimdjson: TopTweetsimdjson: PartialTweetssvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 10 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 4Ksvt-hevc: 1 - Bosphorus 4Ksvt-hevc: 7 - Bosphorus 4Ksvt-hevc: 10 - Bosphorus 4Ksvt-vp9: VMAF Optimized - Bosphorus 4Ksvt-vp9: PSNR/SSIM Optimized - Bosphorus 4Ksvt-vp9: Visual Quality Optimized - Bosphorus 4Kcompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingavifenc: 0avifenc: 2avifenc: 6avifenc: 6, Losslessavifenc: 10, Losslessbuild-apache: Time To Compilebuild-godot: Time To Compilebuild-llvm: Ninjabuild-llvm: Unix Makefilesbuild-mplayer: Time To Compilebuild-php: Time To Compileospray-studio: 1 - 1080p - 16 - Path Tracerospray-studio: 1 - 1080p - 32 - Path Tracerospray-studio: 2 - 1080p - 16 - Path Tracerospray-studio: 2 - 1080p - 32 - Path Tracerospray-studio: 3 - 1080p - 16 - Path Tracerospray-studio: 3 - 1080p - 32 - Path Tracernumpy: webp2: Defaultwebp2: Quality 75, Compression Effort 7webp2: Quality 95, Compression Effort 7webp2: Quality 100, Compression Effort 5webp2: Quality 100, Lossless Compressiongraph500: 26graph500: 26graph500: 26graph500: 26gromacs: MPI CPU - water_GMX50_baretensorflow-lite: SqueezeNettensorflow-lite: Inception V4tensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2blender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Barbershop - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlypybench: Total For Average Test Timespyperformance: gopyperformance: 2to3pyperformance: chaospyperformance: floatpyperformance: nbodypyperformance: pathlibpyperformance: raytracepyperformance: json_loadspyperformance: crypto_pyaespyperformance: regex_compilepyperformance: python_startuppyperformance: django_templatepyperformance: pickle_pure_pythononnx: GPT-2 - CPU - Standardonnx: yolov4 - CPU - Standardonnx: bertsquad-12 - CPU - Standardonnx: fcn-resnet101-11 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Standardonnx: super-resolution-10 - CPU - Standardapache: 200apache: 500apache: 1000appleseed: Emilyappleseed: Disney Materialappleseed: Material Testerphpbench: PHP Benchmark SuiteopenSUSE Leap 15.440.14290.29179157.212300.6731772.9687130411.78628352.2043.01421.8339.15743.4323.232.6336.31275.96587.40710.0188.18118.31118.20120.27100.1146228135363982.33647.8506.14510.1797.23931.24991.213128.681186.6599.32432.118503310065507210162599211993345.442.845113.553238.8803.560513.494101247000010404900002955940003940380009.1635472.7736694.168644.93417.669663.3348899.324.9664.8133.55256.0982.58143836364717715917926.984432.01502572010269510295643958465183110469209632.55116203.75122325.16175.85904480.994292185.911815768303OpenBenchmarking.org

High Performance Conjugate Gradient

HPCG is the High Performance Conjugate Gradient and is a new scientific benchmark from Sandia National Lans focused for super-computer testing with modern real-world workloads compared to HPCC. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1openSUSE Leap 15.4918273645SE +/- 0.05, N = 340.141. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi

NAMD

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsopenSUSE Leap 15.40.06570.13140.19710.26280.3285SE +/- 0.00124, N = 30.29179

Timed MrBayes Analysis

This test performs a bayesian analysis of a set of primate genome sequences in order to estimate their phylogeny. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MrBayes Analysis 3.2.7Primate Phylogeny AnalysisopenSUSE Leap 15.4306090120150SE +/- 0.38, N = 3157.211. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msha -maes -mavx -mfma -mavx2 -mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mavx512ifma -mavx512vbmi -mrdrnd -mbmi -mbmi2 -madx -mabm -O3 -std=c99 -pedantic -lm -lreadline

Xcompact3d Incompact3d

Xcompact3d Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: X3D-benchmarking input.i3dopenSUSE Leap 15.470140210280350SE +/- 2.46, N = 9300.671. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 129 Cells Per DirectionopenSUSE Leap 15.40.6681.3362.0042.6723.34SE +/- 0.00490122, N = 32.968713041. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per DirectionopenSUSE Leap 15.43691215SE +/- 0.03, N = 311.791. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultopenSUSE Leap 15.40.49590.99181.48771.98362.4795SE +/- 0.064, N = 152.2041. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -lpng16 -ljpeg

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100openSUSE Leap 15.40.67821.35642.03462.71283.391SE +/- 0.038, N = 133.0141. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -lpng16 -ljpeg

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessopenSUSE Leap 15.4510152025SE +/- 0.19, N = 321.831. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -lpng16 -ljpeg

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionopenSUSE Leap 15.43691215SE +/- 0.100, N = 49.1571. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -lpng16 -ljpeg

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionopenSUSE Leap 15.41020304050SE +/- 0.25, N = 343.431. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -lpng16 -ljpeg

simdjson

This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: TopTweetopenSUSE Leap 15.40.72681.45362.18042.90723.634SE +/- 0.00, N = 33.231. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: PartialTweetsopenSUSE Leap 15.40.59181.18361.77542.36722.959SE +/- 0.00, N = 32.631. (CXX) g++ options: -O3 -pthread

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google as the AV1 Codec Library. Learn more via the OpenBenchmarking.org test page.

Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K

openSUSE Leap 15.4: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K

openSUSE Leap 15.4: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K

openSUSE Leap 15.4: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K

openSUSE Leap 15.4: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K

openSUSE Leap 15.4: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.0Encoder Mode: Preset 8 - Input: Bosphorus 4KopenSUSE Leap 15.4816243240SE +/- 0.33, N = 336.311. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.0Encoder Mode: Preset 10 - Input: Bosphorus 4KopenSUSE Leap 15.420406080100SE +/- 0.36, N = 375.971. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.0Encoder Mode: Preset 12 - Input: Bosphorus 4KopenSUSE Leap 15.420406080100SE +/- 0.39, N = 387.411. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 4KopenSUSE Leap 15.43691215SE +/- 0.05, N = 310.011. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 4KopenSUSE Leap 15.420406080100SE +/- 0.66, N = 388.181. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 4KopenSUSE Leap 15.4306090120150SE +/- 1.56, N = 3118.311. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 4KopenSUSE Leap 15.4306090120150SE +/- 1.19, N = 3118.201. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4KopenSUSE Leap 15.4306090120150SE +/- 1.21, N = 6120.271. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 4KopenSUSE Leap 15.420406080100SE +/- 0.82, N = 3100.111. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

7-Zip Compression

This is a test of 7-Zip compression/decompression with its integrated benchmark feature. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.00Test: Compression RatingopenSUSE Leap 15.4100K200K300K400K500KSE +/- 6498.02, N = 34622811. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.00Test: Decompression RatingopenSUSE Leap 15.480K160K240K320K400KSE +/- 853.20, N = 33536391. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.10Encoder Speed: 0openSUSE Leap 15.420406080100SE +/- 0.69, N = 382.341. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.10Encoder Speed: 2openSUSE Leap 15.41122334455SE +/- 0.05, N = 347.851. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.10Encoder Speed: 6openSUSE Leap 15.4246810SE +/- 0.038, N = 36.1451. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.10Encoder Speed: 6, LosslessopenSUSE Leap 15.43691215SE +/- 0.13, N = 310.181. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.10Encoder Speed: 10, LosslessopenSUSE Leap 15.4246810SE +/- 0.091, N = 157.2391. (CXX) g++ options: -O3 -fPIC -lm

Timed Apache Compilation

This test times how long it takes to build the Apache HTTPD web server. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileopenSUSE Leap 15.4714212835SE +/- 0.09, N = 331.25

Timed Godot Game Engine Compilation

This test times how long it takes to compile the Godot Game Engine. Godot is a popular, open-source, cross-platform 2D/3D game engine and is built using the SCons build system and targeting the X11 platform. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To CompileopenSUSE Leap 15.420406080100SE +/- 0.47, N = 391.21

Timed LLVM Compilation

This test times how long it takes to build the LLVM compiler stack. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 13.0Build System: NinjaopenSUSE Leap 15.4306090120150SE +/- 0.24, N = 3128.68

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 13.0Build System: Unix MakefilesopenSUSE Leap 15.44080120160200SE +/- 0.36, N = 3186.66

Timed MPlayer Compilation

This test times how long it takes to build the MPlayer open-source media player program. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.5Time To CompileopenSUSE Leap 15.43691215SE +/- 0.021, N = 39.324

Timed Node.js Compilation

This test profile times how long it takes to build/compile Node.js itself from source. Node.js is a JavaScript run-time built from the Chrome V8 JavaScript engine while itself is written in C/C++. Learn more via the OpenBenchmarking.org test page.

openSUSE Leap 15.4: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ../deps/v8/src/torque/earley-parser.h:251:23: error: constructor delegates to itself

Timed PHP Compilation

This test times how long it takes to build PHP 7. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 7.4.2Time To CompileopenSUSE Leap 15.4714212835SE +/- 0.24, N = 332.12

OSPray Studio

Intel OSPray Studio is an open-source, interactive visualization and ray-tracing software package. OSPray Studio makes use of Intel OSPray, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPray Studio 0.10Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path TraceropenSUSE Leap 15.411002200330044005500SE +/- 16.17, N = 350331. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterOSPray Studio 0.10Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TraceropenSUSE Leap 15.42K4K6K8K10KSE +/- 22.07, N = 3100651. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterOSPray Studio 0.10Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path TraceropenSUSE Leap 15.411002200330044005500SE +/- 14.77, N = 350721. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterOSPray Studio 0.10Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TraceropenSUSE Leap 15.42K4K6K8K10KSE +/- 10.35, N = 3101621. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterOSPray Studio 0.10Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path TraceropenSUSE Leap 15.413002600390052006500SE +/- 6.12, N = 359921. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterOSPray Studio 0.10Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TraceropenSUSE Leap 15.43K6K9K12K15KSE +/- 28.54, N = 3119931. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

Numpy Benchmark

This is a test to obtain the general Numpy performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkopenSUSE Leap 15.480160240320400SE +/- 2.12, N = 3345.44

WebP2 Image Encode

This is a test of Google's libwebp2 library with the WebP2 image encode utility and using a sample 6000x4000 pixel JPEG image as the input, similar to the WebP/libwebp test profile. WebP2 is currently experimental and under heavy development as ultimately the successor to WebP. WebP2 supports 10-bit HDR, more efficienct lossy compression, improved lossless compression, animation support, and full multi-threading support compared to WebP. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWebP2 Image Encode 20220422Encode Settings: DefaultopenSUSE Leap 15.40.64011.28021.92032.56043.2005SE +/- 0.056, N = 152.8451. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterWebP2 Image Encode 20220422Encode Settings: Quality 75, Compression Effort 7openSUSE Leap 15.4306090120150SE +/- 0.13, N = 3113.551. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterWebP2 Image Encode 20220422Encode Settings: Quality 95, Compression Effort 7openSUSE Leap 15.450100150200250SE +/- 0.55, N = 3238.881. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterWebP2 Image Encode 20220422Encode Settings: Quality 100, Compression Effort 5openSUSE Leap 15.40.8011.6022.4033.2044.005SE +/- 0.028, N = 143.5601. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterWebP2 Image Encode 20220422Encode Settings: Quality 100, Lossless CompressionopenSUSE Leap 15.4110220330440550SE +/- 0.24, N = 3513.491. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -lpthread

Graph500

This is a benchmark of the reference implementation of Graph500, an HPC benchmark focused on data intensive loads and commonly tested on supercomputers for complex data problems. Graph500 primarily stresses the communication subsystem of the hardware under test. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbfs median_TEPS, More Is BetterGraph500 3.0Scale: 26openSUSE Leap 15.4200M400M600M800M1000M10124700001. (CC) gcc options: -fcommon -O3 -lpthread -lm -pthread -lmpi

OpenBenchmarking.orgbfs max_TEPS, More Is BetterGraph500 3.0Scale: 26openSUSE Leap 15.4200M400M600M800M1000M10404900001. (CC) gcc options: -fcommon -O3 -lpthread -lm -pthread -lmpi

OpenBenchmarking.orgsssp median_TEPS, More Is BetterGraph500 3.0Scale: 26openSUSE Leap 15.460M120M180M240M300M2955940001. (CC) gcc options: -fcommon -O3 -lpthread -lm -pthread -lmpi

OpenBenchmarking.orgsssp max_TEPS, More Is BetterGraph500 3.0Scale: 26openSUSE Leap 15.480M160M240M320M400M3940380001. (CC) gcc options: -fcommon -O3 -lpthread -lm -pthread -lmpi

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing with the water_GMX50 data. This test profile allows selecting between CPU and GPU-based GROMACS builds. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2022.1Implementation: MPI CPU - Input: water_GMX50_bareopenSUSE Leap 15.43691215SE +/- 0.092, N = 69.1631. (CXX) g++ options: -O3 -pthread

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation focused on TensorFlow machine learning for mobile, IoT, edge, and other cases. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: SqueezeNetopenSUSE Leap 15.412002400360048006000SE +/- 45.67, N = 155472.77

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Inception V4openSUSE Leap 15.48K16K24K32K40KSE +/- 397.78, N = 1536694.1

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: NASNet MobileopenSUSE Leap 15.415K30K45K60K75KSE +/- 532.76, N = 368644.9

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Mobilenet FloatopenSUSE Leap 15.47001400210028003500SE +/- 30.13, N = 83417.66

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Mobilenet QuantopenSUSE Leap 15.42K4K6K8K10KSE +/- 143.88, N = 139663.33

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Inception ResNet V2openSUSE Leap 15.410K20K30K40K50KSE +/- 637.36, N = 1248899.3

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported and HIP for AMD Radeon GPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.2Blend File: BMW27 - Compute: CPU-OnlyopenSUSE Leap 15.4612182430SE +/- 0.13, N = 324.96

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.2Blend File: Classroom - Compute: CPU-OnlyopenSUSE Leap 15.41428425670SE +/- 0.00, N = 364.81

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.2Blend File: Fishy Cat - Compute: CPU-OnlyopenSUSE Leap 15.4816243240SE +/- 0.10, N = 333.55

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.2Blend File: Barbershop - Compute: CPU-OnlyopenSUSE Leap 15.460120180240300SE +/- 0.64, N = 3256.09

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.2Blend File: Pabellon Barcelona - Compute: CPU-OnlyopenSUSE Leap 15.420406080100SE +/- 0.19, N = 382.58

PyBench

This test profile reports the total time of the different average timed test results from PyBench. PyBench reports average test times for different functions such as BuiltinFunctionCalls and NestedForLoops, with this total result providing a rough estimate as to Python's average performance on a given system. This test profile runs PyBench each time for 20 rounds. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesopenSUSE Leap 15.430060090012001500SE +/- 1.53, N = 31438

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: goopenSUSE Leap 15.480160240320400SE +/- 0.67, N = 3363

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to3openSUSE Leap 15.4140280420560700SE +/- 0.00, N = 3647

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosopenSUSE Leap 15.44080120160200SE +/- 1.33, N = 3177

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatopenSUSE Leap 15.44080120160200SE +/- 1.66, N = 15159

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyopenSUSE Leap 15.44080120160200SE +/- 1.33, N = 3179

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibopenSUSE Leap 15.4612182430SE +/- 0.67, N = 1226.9

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceopenSUSE Leap 15.42004006008001000SE +/- 1.33, N = 3844

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsopenSUSE Leap 15.4714212835SE +/- 0.23, N = 1132.0

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesopenSUSE Leap 15.4306090120150SE +/- 1.03, N = 13150

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileopenSUSE Leap 15.460120180240300SE +/- 2.40, N = 3257

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupopenSUSE Leap 15.4510152025SE +/- 0.00, N = 320

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateopenSUSE Leap 15.420406080100SE +/- 0.33, N = 3102

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonopenSUSE Leap 15.4150300450600750SE +/- 8.02, N = 3695

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: GPT-2 - Device: CPU - Executor: StandardopenSUSE Leap 15.42K4K6K8K10KSE +/- 234.87, N = 12102951. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt -pthread -lpthread

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: yolov4 - Device: CPU - Executor: StandardopenSUSE Leap 15.4140280420560700SE +/- 6.44, N = 126431. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt -pthread -lpthread

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: bertsquad-12 - Device: CPU - Executor: StandardopenSUSE Leap 15.42004006008001000SE +/- 5.09, N = 39581. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt -pthread -lpthread

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: fcn-resnet101-11 - Device: CPU - Executor: StandardopenSUSE Leap 15.4100200300400500SE +/- 14.08, N = 124651. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt -pthread -lpthread

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardopenSUSE Leap 15.4400800120016002000SE +/- 18.91, N = 1218311. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt -pthread -lpthread

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: super-resolution-10 - Device: CPU - Executor: StandardopenSUSE Leap 15.42K4K6K8K10KSE +/- 3.06, N = 3104691. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt -pthread -lpthread

Apache HTTP Server

This is a test of the Apache HTTPD web server. This Apache HTTPD web server benchmark test profile makes use of the Golang "Bombardier" program for facilitating the HTTP requests over a fixed period time with a configurable number of concurrent clients. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterApache HTTP Server 2.4.48Concurrent Requests: 200openSUSE Leap 15.440K80K120K160K200KSE +/- 10690.61, N = 15209632.551. (CC) gcc options: -shared -fPIC -O2 -pthread

OpenBenchmarking.orgRequests Per Second, More Is BetterApache HTTP Server 2.4.48Concurrent Requests: 500openSUSE Leap 15.420K40K60K80K100KSE +/- 751.47, N = 3116203.751. (CC) gcc options: -shared -fPIC -O2 -pthread

OpenBenchmarking.orgRequests Per Second, More Is BetterApache HTTP Server 2.4.48Concurrent Requests: 1000openSUSE Leap 15.430K60K90K120K150KSE +/- 128.61, N = 3122325.161. (CC) gcc options: -shared -fPIC -O2 -pthread

Appleseed

Appleseed is an open-source production renderer focused on physically-based global illumination rendering engine primarily designed for animation and visual effects. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: EmilyopenSUSE Leap 15.44080120160200175.86

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Disney MaterialopenSUSE Leap 15.42040608010080.99

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Material TesteropenSUSE Leap 15.44080120160200185.91

PHPBench

PHPBench is a benchmark suite for PHP. It performs a large number of simple tests in order to bench various aspects of the PHP interpreter. PHPBench can be used to compare hardware, operating systems, PHP versions, PHP accelerators and caches, compiler options, etc. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteopenSUSE Leap 15.4160K320K480K640K800KSE +/- 4984.17, N = 3768303

90 Results Shown

High Performance Conjugate Gradient
NAMD
Timed MrBayes Analysis
Xcompact3d Incompact3d:
  X3D-benchmarking input.i3d
  input.i3d 129 Cells Per Direction
  input.i3d 193 Cells Per Direction
WebP Image Encode:
  Default
  Quality 100
  Quality 100, Lossless
  Quality 100, Highest Compression
  Quality 100, Lossless, Highest Compression
simdjson:
  TopTweet
  PartialTweets
SVT-AV1:
  Preset 8 - Bosphorus 4K
  Preset 10 - Bosphorus 4K
  Preset 12 - Bosphorus 4K
SVT-HEVC:
  1 - Bosphorus 4K
  7 - Bosphorus 4K
  10 - Bosphorus 4K
SVT-VP9:
  VMAF Optimized - Bosphorus 4K
  PSNR/SSIM Optimized - Bosphorus 4K
  Visual Quality Optimized - Bosphorus 4K
7-Zip Compression:
  Compression Rating
  Decompression Rating
libavif avifenc:
  0
  2
  6
  6, Lossless
  10, Lossless
Timed Apache Compilation
Timed Godot Game Engine Compilation
Timed LLVM Compilation:
  Ninja
  Unix Makefiles
Timed MPlayer Compilation
Timed PHP Compilation
OSPray Studio:
  1 - 1080p - 16 - Path Tracer
  1 - 1080p - 32 - Path Tracer
  2 - 1080p - 16 - Path Tracer
  2 - 1080p - 32 - Path Tracer
  3 - 1080p - 16 - Path Tracer
  3 - 1080p - 32 - Path Tracer
Numpy Benchmark
WebP2 Image Encode:
  Default
  Quality 75, Compression Effort 7
  Quality 95, Compression Effort 7
  Quality 100, Compression Effort 5
  Quality 100, Lossless Compression
Graph500:
  26:
    bfs median_TEPS
    bfs max_TEPS
    sssp median_TEPS
    sssp max_TEPS
GROMACS
TensorFlow Lite:
  SqueezeNet
  Inception V4
  NASNet Mobile
  Mobilenet Float
  Mobilenet Quant
  Inception ResNet V2
Blender:
  BMW27 - CPU-Only
  Classroom - CPU-Only
  Fishy Cat - CPU-Only
  Barbershop - CPU-Only
  Pabellon Barcelona - CPU-Only
PyBench
PyPerformance:
  go
  2to3
  chaos
  float
  nbody
  pathlib
  raytrace
  json_loads
  crypto_pyaes
  regex_compile
  python_startup
  django_template
  pickle_pure_python
ONNX Runtime:
  GPT-2 - CPU - Standard
  yolov4 - CPU - Standard
  bertsquad-12 - CPU - Standard
  fcn-resnet101-11 - CPU - Standard
  ArcFace ResNet-100 - CPU - Standard
  super-resolution-10 - CPU - Standard
Apache HTTP Server:
  200
  500
  1000
Appleseed:
  Emily
  Disney Material
  Material Tester
PHPBench