EPYC Tyan Server

AMD EPYC 7543 32-Core testing with a TYAN S8036GM2NE-LE (V2.00.B21 BIOS) and ASPEED on Fedora 34 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 2106212-IB-2106219IB12
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AV1 2 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 2 Tests
Timed Code Compilation 6 Tests
C/C++ Compiler Tests 5 Tests
CPU Massive 13 Tests
Creator Workloads 15 Tests
Encoding 5 Tests
Fortran Tests 4 Tests
Game Development 5 Tests
HPC - High Performance Computing 17 Tests
Machine Learning 7 Tests
Molecular Dynamics 6 Tests
MPI Benchmarks 6 Tests
Multi-Core 22 Tests
NVIDIA GPU Compute 4 Tests
Intel oneAPI 5 Tests
OpenMPI Tests 8 Tests
Programmer / Developer System Benchmarks 6 Tests
Python Tests 9 Tests
Renderers 3 Tests
Scientific Computing 8 Tests
Server CPU Tests 9 Tests
Video Encoding 5 Tests
Common Workstation Benchmarks 2 Tests

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Ubuntu 20.04.2 LTS
June 20 2021
  10 Hours, 37 Minutes
Fedora Server 34
June 21 2021
  9 Hours, 6 Minutes
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  9 Hours, 52 Minutes
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Ubuntu 20.04.2 LTS

Processor: AMD EPYC 7543 32-Core @ 2.80GHz (32 Cores / 64 Threads), Motherboard: TYAN S8036GM2NE-LE (V2.00.B21 BIOS), Chipset: AMD Starship/Matisse, Memory: 64GB, Disk: 1000GB Western Digital WD_BLACK SN850 1TB, Graphics: ASPEED, Monitor: VE228, Network: 2 x Broadcom NetXtreme BCM5720 2-port PCIe

OS: Ubuntu 20.04, Kernel: 5.8.0-55-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.9, OpenGL: 4.5 Mesa 20.2.6 (LLVM 11.0.0 256 bits), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0xa001119
Python Notes: Python 3.8.5
Security Notes: 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 Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Fedora Server 34

Processor: AMD EPYC 7543 32-Core @ 2.80GHz (32 Cores / 64 Threads), Motherboard: TYAN S8036GM2NE-LE (V2.00.B21 BIOS), Chipset: AMD Starship/Matisse, Memory: 64GB, Disk: 1000GB Western Digital WD_BLACK SN850 1TB, Graphics: ASPEED, Monitor: VE228, Network: 2 x Broadcom NetXtreme BCM5720 PCIe

OS: Fedora 34, Kernel: 5.12.11-300.fc34.x86_64 (x86_64), Compiler: GCC 11.1.1 20210531, File-System: xfs, Screen Resolution: 1920x1080

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-redhat-linux --disable-libunwind-exceptions --enable-__cxa_atexit --enable-bootstrap --enable-cet --enable-checking=release --enable-gnu-indirect-function --enable-gnu-unique-object --enable-initfini-array --enable-languages=c,c++,fortran,objc,obj-c++,ada,go,d,lto --enable-multilib --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-arch_32=i686 --with-gcc-major-version-only --with-linker-hash-style=gnu --with-tune=generic --without-cuda-driver
Processor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa001119
Python Notes: Python 3.9.5
Security Notes: SELinux + 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 Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

EPYC Tyan ServerProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionUbuntu 20.04.2 LTSFedora Server 34AMD EPYC 7543 32-Core @ 2.80GHz (32 Cores / 64 Threads)TYAN S8036GM2NE-LE (V2.00.B21 BIOS)AMD Starship/Matisse64GB1000GB Western Digital WD_BLACK SN850 1TBASPEEDVE2282 x Broadcom NetXtreme BCM5720 2-port PCIeUbuntu 20.045.8.0-55-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.94.5 Mesa 20.2.6 (LLVM 11.0.0 256 bits)GCC 9.3.0ext41920x10802 x Broadcom NetXtreme BCM5720 PCIeFedora 345.12.11-300.fc34.x86_64 (x86_64)GCC 11.1.1 20210531xfsOpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- Ubuntu 20.04.2 LTS: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - Fedora Server 34: --build=x86_64-redhat-linux --disable-libunwind-exceptions --enable-__cxa_atexit --enable-bootstrap --enable-cet --enable-checking=release --enable-gnu-indirect-function --enable-gnu-unique-object --enable-initfini-array --enable-languages=c,c++,fortran,objc,obj-c++,ada,go,d,lto --enable-multilib --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-arch_32=i686 --with-gcc-major-version-only --with-linker-hash-style=gnu --with-tune=generic --without-cuda-driver Processor Details- Ubuntu 20.04.2 LTS: Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0xa001119- Fedora Server 34: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa001119Python Details- Ubuntu 20.04.2 LTS: Python 3.8.5- Fedora Server 34: Python 3.9.5Security Details- Ubuntu 20.04.2 LTS: 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 Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected - Fedora Server 34: SELinux + 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 Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Ubuntu 20.04.2 LTS vs. Fedora Server 34 ComparisonPhoronix Test SuiteBaseline+94.8%+94.8%+189.6%+189.6%+284.4%+284.4%47.6%19.1%16%11.9%11.4%11%10.2%8.4%7.8%6.7%6.7%6.7%5.7%5.4%5.4%3.3%2.9%2.5%2.3%LU.C379.1%BT.C328.9%SP.C230.4%FT.C161.5%CG.C120%MG.C112.8%EP.D83.3%IS.D63.6%Time To CompileNASNet Mobile26.1%VMAF Optimized - Bosphorus 1080p19.7%Speed 5 - Bosphorus 4KP.S.O - Bosphorus 1080p16%resnet-v2-50Preset 8 - Bosphorus 4K13.7%Speed 0 - Bosphorus 4KSmall11.8%Unix MakefilesNinjafcn-resnet101-11 - OpenMP CPU10.7%Time To Compile9.9%6, Losslessinception-v3RT.hdr_alb_nrm.3840x2160RT.ldr_alb_nrm.3840x2160RTLightmap.hdr.4096x4096SqueezeNetV1.010 - Bosphorus 1080p5.6%10Time To CompileNo - Inference - ResNet 50 - CPU5.2%yolov4 - OpenMP CPU5.1%CPU - DenseNet4.7%i.i.1.C.P.D4.2%CPU - SqueezeNet v23.5%Time To CompileV.Q.O - Bosphorus 1080psqueezenetv1.1super-resolution-10 - OpenMP CPUCPU - MobileNet v22.1%NAS Parallel BenchmarksNAS Parallel BenchmarksNAS Parallel BenchmarksNAS Parallel BenchmarksNAS Parallel BenchmarksNAS Parallel BenchmarksNAS Parallel BenchmarksNAS Parallel BenchmarksTimed Wasmer CompilationTensorFlow LiteSVT-VP9VP9 libvpx EncodingSVT-VP9Mobile Neural NetworkSVT-AV1VP9 libvpx EncodingminiFETimed LLVM CompilationTimed LLVM CompilationONNX RuntimeTimed Node.js CompilationHigh Performance Conjugate Gradientlibavif avifencMobile Neural NetworkIntel Open Image DenoiseIntel Open Image DenoiseIntel Open Image DenoiseMobile Neural NetworkSVT-HEVClibavif avifencTimed Godot Game Engine CompilationPlaidMLONNX RuntimeTNNXcompact3d Incompact3dTNNTimed Linux Kernel CompilationSVT-VP9Mobile Neural NetworkONNX RuntimeTNNUbuntu 20.04.2 LTSFedora Server 34

EPYC Tyan Serverhpcg: npb: BT.Cnpb: CG.Cnpb: EP.Dnpb: FT.Cnpb: IS.Dnpb: LU.Cnpb: MG.Cnpb: SP.Cminife: Smallnamd: ATPase Simulation - 327,506 Atomsnwchem: C240 Buckyballincompact3d: input.i3d 193 Cells Per Directionopenfoam: Motorbike 30Mopenfoam: Motorbike 60Mxmrig: Monero - 1Mxmrig: Wownero - 1Mluxcorerender: DLSC - CPUluxcorerender: Danish Mood - CPUluxcorerender: Orange Juice - CPUluxcorerender: LuxCore Benchmark - CPUluxcorerender: Rainbow Colors and Prism - CPUospray: San Miguel - Path Tracerospray: XFrog Forest - Path Tracerospray: NASA Streamlines - Path Tracerospray: Magnetic Reconnection - Path Tracerembree: Pathtracer ISPC - Crownembree: Pathtracer ISPC - Asian Dragonsvt-av1: Preset 4 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Ksvt-hevc: 1 - Bosphorus 1080psvt-hevc: 7 - Bosphorus 1080psvt-hevc: 10 - Bosphorus 1080psvt-vp9: VMAF Optimized - Bosphorus 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080psvt-vp9: Visual Quality Optimized - Bosphorus 1080pvpxenc: Speed 0 - Bosphorus 4Kvpxenc: Speed 5 - Bosphorus 4Koidn: RT.hdr_alb_nrm.3840x2160oidn: RT.ldr_alb_nrm.3840x2160oidn: RTLightmap.hdr.4096x4096openvkl: vklBenchmarkavifenc: 10avifenc: 6, Losslessavifenc: 10, Losslessbuild-godot: Time To Compilebuild-linux-kernel: Time To Compilebuild-llvm: Ninjabuild-llvm: Unix Makefilesbuild-mesa: Time To Compilebuild-nodejs: Time To Compilebuild-wasmer: Time To Compilegromacs: MPI CPU - water_GMX50_baretensorflow-lite: SqueezeNettensorflow-lite: Inception V4tensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2astcenc: Exhaustivegpaw: Carbon Nanotubemnn: mobilenetV3mnn: squeezenetv1.1mnn: resnet-v2-50mnn: SqueezeNetV1.0mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3tnn: CPU - DenseNettnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v2tnn: CPU - SqueezeNet v1.1plaidml: No - Inference - VGG16 - CPUplaidml: No - Inference - VGG19 - CPUplaidml: No - Inference - ResNet 50 - CPUopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Barbershop - CPU-Onlyonnx: yolov4 - OpenMP CPUonnx: bertsquad-10 - OpenMP CPUonnx: fcn-resnet101-11 - OpenMP CPUonnx: shufflenet-v2-10 - OpenMP CPUonnx: super-resolution-10 - OpenMP CPUnumenta-nab: EXPoSEnumenta-nab: Relative Entropynumenta-nab: Windowed Gaussiannumenta-nab: Earthgecko Skylinenumenta-nab: Bayesian Changepointkripke: brl-cad: VGR Performance MetricUbuntu 20.04.2 LTSFedora Server 3412.877887954.9829891.712934.2647059.681786.82102552.8449265.3633234.2811203.040.672523116.927.876948022.24237.3821914.923123.15.454.328.294.7316.383.724.4712.3550033.318737.18651.93120.85124.65282.38458.18349.16353.98264.896.1613.630.900.900.452973.81730.2226.28757.90735.137232.758286.37522.747151.64761.2413.63969192.693669488673.143688.446472.983553923.6779114.8962.5724.14421.9546.0943.9472.84924.3612907.266290.33762.597269.18226.7322.499.046.252548.126.252551.274.573486.444.583448.7120273.780.7620458.870.7652.85146.51195.79291445931086647751397.77613.0476.80576.41426.8427865897942248111.713020507.5513587.611601.2217996.091092.1821406.4523154.5410058.2810017.790.6735529.03664785.464.398.294.6816.113.704.4612.3550033.389337.38381.91318.34524.71281.37434.07291.76305.14272.556.8916.230.960.960.482963.62027.8816.18554.94834.019209.690257.168137.58841.4983.64070453.9941892111782.443885.746557.783706523.51672.5354.04218.9335.7673.9752.89422.6033042.861296.54764.811271.39126.9622.138.5953.13146.65196.642774408410911488478470519417781OpenBenchmarking.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 3.1Fedora Server 34Ubuntu 20.04.2 LTS3691215SE +/- 0.60, N = 12SE +/- 0.01, N = 311.7112.881. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1Fedora Server 34Ubuntu 20.04.2 LTS48121620Min: 11.02 / Avg: 11.71 / Max: 18.31Min: 12.87 / Avg: 12.88 / Max: 12.891. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CFedora Server 34Ubuntu 20.04.2 LTS20K40K60K80K100KSE +/- 482.34, N = 9SE +/- 203.96, N = 320507.5587954.981. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CFedora Server 34Ubuntu 20.04.2 LTS15K30K45K60K75KMin: 16918.37 / Avg: 20507.55 / Max: 21270.48Min: 87645.48 / Avg: 87954.98 / Max: 88339.841. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CFedora Server 34Ubuntu 20.04.2 LTS6K12K18K24K30KSE +/- 10.91, N = 3SE +/- 271.73, N = 313587.6129891.711. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CFedora Server 34Ubuntu 20.04.2 LTS5K10K15K20K25KMin: 13566.81 / Avg: 13587.61 / Max: 13603.74Min: 29384.41 / Avg: 29891.71 / Max: 30314.171. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DFedora Server 34Ubuntu 20.04.2 LTS6001200180024003000SE +/- 28.47, N = 14SE +/- 21.45, N = 131601.222934.261. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DFedora Server 34Ubuntu 20.04.2 LTS5001000150020002500Min: 1278.9 / Avg: 1601.22 / Max: 1642.12Min: 2683.67 / Avg: 2934.26 / Max: 2976.571. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.CFedora Server 34Ubuntu 20.04.2 LTS10K20K30K40K50KSE +/- 43.58, N = 3SE +/- 40.78, N = 317996.0947059.681. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.CFedora Server 34Ubuntu 20.04.2 LTS8K16K24K32K40KMin: 17925.22 / Avg: 17996.09 / Max: 18075.48Min: 46997.65 / Avg: 47059.68 / Max: 47136.551. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DFedora Server 34Ubuntu 20.04.2 LTS400800120016002000SE +/- 11.91, N = 4SE +/- 8.29, N = 31092.181786.821. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DFedora Server 34Ubuntu 20.04.2 LTS30060090012001500Min: 1060.76 / Avg: 1092.18 / Max: 1117.81Min: 1770.26 / Avg: 1786.82 / Max: 1795.891. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CFedora Server 34Ubuntu 20.04.2 LTS20K40K60K80K100KSE +/- 42.83, N = 3SE +/- 609.71, N = 321406.45102552.841. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CFedora Server 34Ubuntu 20.04.2 LTS20K40K60K80K100KMin: 21326 / Avg: 21406.45 / Max: 21472.15Min: 101833.42 / Avg: 102552.84 / Max: 103765.241. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CFedora Server 34Ubuntu 20.04.2 LTS11K22K33K44K55KSE +/- 467.47, N = 15SE +/- 83.51, N = 323154.5449265.361. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CFedora Server 34Ubuntu 20.04.2 LTS9K18K27K36K45KMin: 17561.91 / Avg: 23154.54 / Max: 24365.05Min: 49105.03 / Avg: 49265.36 / Max: 49386.051. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.CFedora Server 34Ubuntu 20.04.2 LTS7K14K21K28K35KSE +/- 44.59, N = 3SE +/- 59.03, N = 310058.2833234.281. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.CFedora Server 34Ubuntu 20.04.2 LTS6K12K18K24K30KMin: 9977.77 / Avg: 10058.28 / Max: 10131.76Min: 33117.39 / Avg: 33234.28 / Max: 33307.041. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

miniFE

MiniFE Finite Element is an application for unstructured implicit finite element codes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgCG Mflops, More Is BetterminiFE 2.2Problem Size: SmallFedora Server 34Ubuntu 20.04.2 LTS2K4K6K8K10KSE +/- 203.18, N = 12SE +/- 260.75, N = 1510017.7911203.041. (CXX) g++ options: -O3 -fopenmp -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgCG Mflops, More Is BetterminiFE 2.2Problem Size: SmallFedora Server 34Ubuntu 20.04.2 LTS2K4K6K8K10KMin: 8854.68 / Avg: 10017.79 / Max: 11284.3Min: 9938.39 / Avg: 11203.04 / Max: 13203.51. (CXX) g++ options: -O3 -fopenmp -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 AtomsFedora Server 34Ubuntu 20.04.2 LTS0.15150.3030.45450.6060.7575SE +/- 0.00051, N = 3SE +/- 0.00041, N = 30.673550.67252
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsFedora Server 34Ubuntu 20.04.2 LTS246810Min: 0.67 / Avg: 0.67 / Max: 0.67Min: 0.67 / Avg: 0.67 / Max: 0.67

NWChem

NWChem is an open-source high performance computational chemistry package. Per NWChem's documentation, "NWChem aims to provide its users with computational chemistry tools that are scalable both in their ability to treat large scientific computational chemistry problems efficiently, and in their use of available parallel computing resources from high-performance parallel supercomputers to conventional workstation clusters." Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNWChem 7.0.2Input: C240 BuckyballUbuntu 20.04.2 LTS70014002100280035003116.91. (F9X) gfortran options: -lnwctask -lccsd -lmcscf -lselci -lmp2 -lmoints -lstepper -ldriver -loptim -lnwdft -lgradients -lcphf -lesp -lddscf -ldangchang -lguess -lhessian -lvib -lnwcutil -lrimp2 -lproperty -lsolvation -lnwints -lprepar -lnwmd -lnwpw -lofpw -lpaw -lpspw -lband -lnwpwlib -lcafe -lspace -lanalyze -lqhop -lpfft -ldplot -ldrdy -lvscf -lqmmm -lqmd -letrans -ltce -lbq -lmm -lcons -lperfm -ldntmc -lccca -ldimqm -lga -larmci -lpeigs -l64to32 -lopenblas -lpthread -lrt -llapack -lnwcblas -lmpi_usempif08 -lmpi_mpifh -lmpi -lcomex -lm -m64 -ffast-math -std=legacy -fdefault-integer-8 -finline-functions -O2

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: input.i3d 193 Cells Per DirectionFedora Server 34Ubuntu 20.04.2 LTS714212835SE +/- 0.09, N = 3SE +/- 0.28, N = 629.0427.881. (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 DirectionFedora Server 34Ubuntu 20.04.2 LTS612182430Min: 28.9 / Avg: 29.04 / Max: 29.21Min: 27.25 / Avg: 27.88 / Max: 28.961. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

OpenFOAM

OpenFOAM is the leading free, open source software for computational fluid dynamics (CFD). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 30MUbuntu 20.04.2 LTS510152025SE +/- 0.05, N = 322.241. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 60MUbuntu 20.04.2 LTS50100150200250SE +/- 0.07, N = 3237.381. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

Xmrig

Xmrig is an open-source cross-platform CPU/GPU miner for RandomX, KawPow, CryptoNight and AstroBWT. This test profile is setup to measure the Xmlrig CPU mining performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.12.1Variant: Monero - Hash Count: 1MUbuntu 20.04.2 LTS5K10K15K20K25KSE +/- 33.78, N = 321914.91. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.12.1Variant: Wownero - Hash Count: 1MUbuntu 20.04.2 LTS5K10K15K20K25KSE +/- 36.32, N = 323123.11. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

LuxCoreRender

LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: DLSC - Acceleration: CPUFedora Server 34Ubuntu 20.04.2 LTS1.22852.4573.68554.9146.1425SE +/- 0.04, N = 3SE +/- 0.01, N = 35.465.45MIN: 5.31 / MAX: 5.8MIN: 5.34 / MAX: 5.8
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: DLSC - Acceleration: CPUFedora Server 34Ubuntu 20.04.2 LTS246810Min: 5.41 / Avg: 5.46 / Max: 5.54Min: 5.44 / Avg: 5.45 / Max: 5.47

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: Danish Mood - Acceleration: CPUFedora Server 34Ubuntu 20.04.2 LTS0.98781.97562.96343.95124.939SE +/- 0.04, N = 3SE +/- 0.02, N = 34.394.32MIN: 1.77 / MAX: 5.1MIN: 1.72 / MAX: 5.09
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: Danish Mood - Acceleration: CPUFedora Server 34Ubuntu 20.04.2 LTS246810Min: 4.32 / Avg: 4.39 / Max: 4.46Min: 4.3 / Avg: 4.32 / Max: 4.35

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: Orange Juice - Acceleration: CPUFedora Server 34Ubuntu 20.04.2 LTS246810SE +/- 0.02, N = 3SE +/- 0.01, N = 38.298.29MIN: 7.33 / MAX: 8.74MIN: 7.33 / MAX: 8.75
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: Orange Juice - Acceleration: CPUFedora Server 34Ubuntu 20.04.2 LTS3691215Min: 8.26 / Avg: 8.29 / Max: 8.31Min: 8.28 / Avg: 8.29 / Max: 8.3

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: LuxCore Benchmark - Acceleration: CPUFedora Server 34Ubuntu 20.04.2 LTS1.06432.12863.19294.25725.3215SE +/- 0.01, N = 3SE +/- 0.01, N = 34.684.73MIN: 1.77 / MAX: 5.48MIN: 1.81 / MAX: 5.53
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: LuxCore Benchmark - Acceleration: CPUFedora Server 34Ubuntu 20.04.2 LTS246810Min: 4.67 / Avg: 4.68 / Max: 4.7Min: 4.72 / Avg: 4.73 / Max: 4.74

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: Rainbow Colors and Prism - Acceleration: CPUFedora Server 34Ubuntu 20.04.2 LTS48121620SE +/- 0.10, N = 3SE +/- 0.19, N = 1516.1116.38MIN: 14.68 / MAX: 16.32MIN: 14.52 / MAX: 18.74
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: Rainbow Colors and Prism - Acceleration: CPUFedora Server 34Ubuntu 20.04.2 LTS48121620Min: 15.91 / Avg: 16.11 / Max: 16.24Min: 15.85 / Avg: 16.38 / Max: 18.46

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific 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.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: Path TracerFedora Server 34Ubuntu 20.04.2 LTS0.8371.6742.5113.3484.185SE +/- 0.01, N = 3SE +/- 0.00, N = 33.703.72MIN: 3.01 / MAX: 3.73MIN: 2.87 / MAX: 3.75
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: Path TracerFedora Server 34Ubuntu 20.04.2 LTS246810Min: 3.68 / Avg: 3.7 / Max: 3.72Min: 3.72 / Avg: 3.72 / Max: 3.72

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: Path TracerFedora Server 34Ubuntu 20.04.2 LTS1.00582.01163.01744.02325.029SE +/- 0.00, N = 3SE +/- 0.01, N = 34.464.47MIN: 4.05 / MAX: 4.5MIN: 4.24 / MAX: 4.5
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: Path TracerFedora Server 34Ubuntu 20.04.2 LTS246810Min: 4.46 / Avg: 4.46 / Max: 4.46Min: 4.46 / Avg: 4.47 / Max: 4.48

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: Path TracerFedora Server 34Ubuntu 20.04.2 LTS3691215SE +/- 0.00, N = 3SE +/- 0.00, N = 312.3512.35MIN: 9.26 / MAX: 12.5MIN: 9.26 / MAX: 12.5
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: Path TracerFedora Server 34Ubuntu 20.04.2 LTS48121620Min: 12.35 / Avg: 12.35 / Max: 12.35Min: 12.35 / Avg: 12.35 / Max: 12.35

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: Path TracerFedora Server 34Ubuntu 20.04.2 LTS110220330440550500500MIN: 250MIN: 250

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: CrownFedora Server 34Ubuntu 20.04.2 LTS816243240SE +/- 0.05, N = 3SE +/- 0.01, N = 333.3933.32MIN: 32.92 / MAX: 34.19MIN: 32.96 / MAX: 33.96
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: CrownFedora Server 34Ubuntu 20.04.2 LTS714212835Min: 33.31 / Avg: 33.39 / Max: 33.48Min: 33.31 / Avg: 33.32 / Max: 33.34

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian DragonFedora Server 34Ubuntu 20.04.2 LTS918273645SE +/- 0.15, N = 3SE +/- 0.26, N = 337.3837.19MIN: 36.85 / MAX: 38.17MIN: 36.46 / MAX: 37.99
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian DragonFedora Server 34Ubuntu 20.04.2 LTS816243240Min: 37.09 / Avg: 37.38 / Max: 37.55Min: 36.68 / Avg: 37.19 / Max: 37.48

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 0.8.7Encoder Mode: Preset 4 - Input: Bosphorus 4KFedora Server 34Ubuntu 20.04.2 LTS0.43450.8691.30351.7382.1725SE +/- 0.004, N = 3SE +/- 0.001, N = 31.9131.9311. (CXX) g++ options: -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8.7Encoder Mode: Preset 4 - Input: Bosphorus 4KFedora Server 34Ubuntu 20.04.2 LTS246810Min: 1.91 / Avg: 1.91 / Max: 1.92Min: 1.93 / Avg: 1.93 / Max: 1.931. (CXX) g++ options: -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8.7Encoder Mode: Preset 8 - Input: Bosphorus 4KFedora Server 34Ubuntu 20.04.2 LTS510152025SE +/- 0.11, N = 3SE +/- 0.12, N = 318.3520.851. (CXX) g++ options: -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8.7Encoder Mode: Preset 8 - Input: Bosphorus 4KFedora Server 34Ubuntu 20.04.2 LTS510152025Min: 18.22 / Avg: 18.35 / Max: 18.56Min: 20.66 / Avg: 20.85 / Max: 21.081. (CXX) g++ options: -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 1080p 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 1080pFedora Server 34Ubuntu 20.04.2 LTS612182430SE +/- 0.10, N = 3SE +/- 0.09, N = 324.7124.651. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 1080pFedora Server 34Ubuntu 20.04.2 LTS612182430Min: 24.53 / Avg: 24.71 / Max: 24.87Min: 24.48 / Avg: 24.65 / Max: 24.751. (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 1080pFedora Server 34Ubuntu 20.04.2 LTS60120180240300SE +/- 2.22, N = 3SE +/- 3.95, N = 3281.37282.381. (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 1080pFedora Server 34Ubuntu 20.04.2 LTS50100150200250Min: 278.04 / Avg: 281.37 / Max: 285.58Min: 275.48 / Avg: 282.38 / Max: 289.161. (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 1080pFedora Server 34Ubuntu 20.04.2 LTS100200300400500SE +/- 6.12, N = 15SE +/- 12.16, N = 15434.07458.181. (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 1080pFedora Server 34Ubuntu 20.04.2 LTS80160240320400Min: 407.61 / Avg: 434.07 / Max: 494.64Min: 396.04 / Avg: 458.18 / Max: 521.291. (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 1080pFedora Server 34Ubuntu 20.04.2 LTS80160240320400SE +/- 1.79, N = 3SE +/- 4.22, N = 12291.76349.161. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080pFedora Server 34Ubuntu 20.04.2 LTS60120180240300Min: 288.3 / Avg: 291.76 / Max: 294.26Min: 303.39 / Avg: 349.16 / Max: 358.611. (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 1080pFedora Server 34Ubuntu 20.04.2 LTS80160240320400SE +/- 2.17, N = 15SE +/- 2.18, N = 3305.14353.981. (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 1080pFedora Server 34Ubuntu 20.04.2 LTS60120180240300Min: 296.81 / Avg: 305.14 / Max: 329.62Min: 350 / Avg: 353.98 / Max: 357.531. (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 1080pFedora Server 34Ubuntu 20.04.2 LTS60120180240300SE +/- 2.18, N = 3SE +/- 2.34, N = 3272.55264.891. (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 1080pFedora Server 34Ubuntu 20.04.2 LTS50100150200250Min: 268.31 / Avg: 272.55 / Max: 275.55Min: 260.29 / Avg: 264.89 / Max: 267.931. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

VP9 libvpx Encoding

This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9 video format. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.10.0Speed: Speed 0 - Input: Bosphorus 4KFedora Server 34Ubuntu 20.04.2 LTS246810SE +/- 0.04, N = 3SE +/- 0.01, N = 36.896.161. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11
OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.10.0Speed: Speed 0 - Input: Bosphorus 4KFedora Server 34Ubuntu 20.04.2 LTS3691215Min: 6.85 / Avg: 6.89 / Max: 6.96Min: 6.15 / Avg: 6.16 / Max: 6.171. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.10.0Speed: Speed 5 - Input: Bosphorus 4KFedora Server 34Ubuntu 20.04.2 LTS48121620SE +/- 0.13, N = 3SE +/- 0.07, N = 316.2313.631. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11
OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.10.0Speed: Speed 5 - Input: Bosphorus 4KFedora Server 34Ubuntu 20.04.2 LTS48121620Min: 16.06 / Avg: 16.23 / Max: 16.49Min: 13.5 / Avg: 13.63 / Max: 13.731. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11

Intel Open Image Denoise

Open Image Denoise is a denoising library for ray-tracing and part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.hdr_alb_nrm.3840x2160Fedora Server 34Ubuntu 20.04.2 LTS0.2160.4320.6480.8641.08SE +/- 0.00, N = 3SE +/- 0.00, N = 30.960.90
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.hdr_alb_nrm.3840x2160Fedora Server 34Ubuntu 20.04.2 LTS246810Min: 0.95 / Avg: 0.96 / Max: 0.96Min: 0.9 / Avg: 0.9 / Max: 0.91

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.ldr_alb_nrm.3840x2160Fedora Server 34Ubuntu 20.04.2 LTS0.2160.4320.6480.8641.08SE +/- 0.00, N = 3SE +/- 0.00, N = 30.960.90
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.ldr_alb_nrm.3840x2160Fedora Server 34Ubuntu 20.04.2 LTS246810Min: 0.96 / Avg: 0.96 / Max: 0.96Min: 0.9 / Avg: 0.9 / Max: 0.91

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RTLightmap.hdr.4096x4096Fedora Server 34Ubuntu 20.04.2 LTS0.1080.2160.3240.4320.54SE +/- 0.00, N = 3SE +/- 0.00, N = 30.480.45
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RTLightmap.hdr.4096x4096Fedora Server 34Ubuntu 20.04.2 LTS12345Min: 0.48 / Avg: 0.48 / Max: 0.48Min: 0.45 / Avg: 0.45 / Max: 0.46

OpenVKL

OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkFedora Server 34Ubuntu 20.04.2 LTS60120180240300SE +/- 1.45, N = 3SE +/- 4.05, N = 9296297MIN: 1 / MAX: 896MIN: 1 / MAX: 1469
OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkFedora Server 34Ubuntu 20.04.2 LTS50100150200250Min: 294 / Avg: 296.33 / Max: 299Min: 290 / Avg: 297 / Max: 329

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 0.9.0Encoder Speed: 10Fedora Server 34Ubuntu 20.04.2 LTS0.85881.71762.57643.43524.294SE +/- 0.030, N = 9SE +/- 0.018, N = 33.6203.8171. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.9.0Encoder Speed: 10Fedora Server 34Ubuntu 20.04.2 LTS246810Min: 3.51 / Avg: 3.62 / Max: 3.73Min: 3.78 / Avg: 3.82 / Max: 3.841. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.9.0Encoder Speed: 6, LosslessFedora Server 34Ubuntu 20.04.2 LTS714212835SE +/- 0.02, N = 3SE +/- 0.20, N = 327.8830.221. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.9.0Encoder Speed: 6, LosslessFedora Server 34Ubuntu 20.04.2 LTS714212835Min: 27.84 / Avg: 27.88 / Max: 27.92Min: 29.86 / Avg: 30.22 / Max: 30.551. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.9.0Encoder Speed: 10, LosslessFedora Server 34Ubuntu 20.04.2 LTS246810SE +/- 0.006, N = 3SE +/- 0.060, N = 66.1856.2871. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.9.0Encoder Speed: 10, LosslessFedora Server 34Ubuntu 20.04.2 LTS3691215Min: 6.18 / Avg: 6.18 / Max: 6.2Min: 6.01 / Avg: 6.29 / Max: 6.431. (CXX) g++ options: -O3 -fPIC -lm

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 CompileFedora Server 34Ubuntu 20.04.2 LTS1326395265SE +/- 0.09, N = 3SE +/- 0.28, N = 354.9557.91
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To CompileFedora Server 34Ubuntu 20.04.2 LTS1122334455Min: 54.83 / Avg: 54.95 / Max: 55.13Min: 57.36 / Avg: 57.91 / Max: 58.27

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.10.20Time To CompileFedora Server 34Ubuntu 20.04.2 LTS816243240SE +/- 0.40, N = 4SE +/- 0.36, N = 534.0235.14
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.10.20Time To CompileFedora Server 34Ubuntu 20.04.2 LTS816243240Min: 33.6 / Avg: 34.02 / Max: 35.23Min: 34.73 / Avg: 35.14 / Max: 36.57

Timed LLVM Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 12.0Build System: NinjaFedora Server 34Ubuntu 20.04.2 LTS50100150200250SE +/- 0.77, N = 3SE +/- 0.86, N = 3209.69232.76
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 12.0Build System: NinjaFedora Server 34Ubuntu 20.04.2 LTS4080120160200Min: 208.32 / Avg: 209.69 / Max: 210.98Min: 231.03 / Avg: 232.76 / Max: 233.66

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 12.0Build System: Unix MakefilesFedora Server 34Ubuntu 20.04.2 LTS60120180240300SE +/- 1.83, N = 3SE +/- 1.53, N = 3257.17286.38
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 12.0Build System: Unix MakefilesFedora Server 34Ubuntu 20.04.2 LTS50100150200250Min: 254.2 / Avg: 257.17 / Max: 260.5Min: 283.97 / Avg: 286.38 / Max: 289.22

Timed Mesa Compilation

This test profile times how long it takes to compile Mesa with Meson/Ninja. For minimizing build dependencies and avoid versioning conflicts, test this is just the core Mesa build without LLVM or the extra Gallium3D/Mesa drivers enabled. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Mesa Compilation 21.0Time To CompileUbuntu 20.04.2 LTS510152025SE +/- 0.32, N = 322.75

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.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 15.11Time To CompileFedora Server 34Ubuntu 20.04.2 LTS306090120150SE +/- 0.21, N = 3SE +/- 0.10, N = 3137.59151.65
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 15.11Time To CompileFedora Server 34Ubuntu 20.04.2 LTS306090120150Min: 137.24 / Avg: 137.59 / Max: 137.96Min: 151.52 / Avg: 151.65 / Max: 151.85

Timed Wasmer Compilation

This test times how long it takes to compile Wasmer. Wasmer is written in the Rust programming language and is a WebAssembly runtime implementation that supports WASI and EmScripten. This test profile builds Wasmer with the Cranelift and Singlepast compiler features enabled. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Wasmer Compilation 1.0.2Time To CompileFedora Server 34Ubuntu 20.04.2 LTS1428425670SE +/- 0.19, N = 3SE +/- 0.35, N = 341.5061.241. (CC) gcc options: -m64 -pie -nodefaultlibs -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Wasmer Compilation 1.0.2Time To CompileFedora Server 34Ubuntu 20.04.2 LTS1224364860Min: 41.21 / Avg: 41.5 / Max: 41.86Min: 60.62 / Avg: 61.24 / Max: 61.821. (CC) gcc options: -m64 -pie -nodefaultlibs -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc

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 2021.2Implementation: MPI CPU - Input: water_GMX50_bareFedora Server 34Ubuntu 20.04.2 LTS0.8191.6382.4573.2764.095SE +/- 0.007, N = 3SE +/- 0.010, N = 33.6403.6391. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2021.2Implementation: MPI CPU - Input: water_GMX50_bareFedora Server 34Ubuntu 20.04.2 LTS246810Min: 3.63 / Avg: 3.64 / Max: 3.66Min: 3.62 / Avg: 3.64 / Max: 3.661. (CXX) g++ options: -O3 -pthread

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. 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 2020-08-23Model: SqueezeNetFedora Server 34Ubuntu 20.04.2 LTS15K30K45K60K75KSE +/- 521.49, N = 3SE +/- 188.81, N = 370453.969192.6
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetFedora Server 34Ubuntu 20.04.2 LTS12K24K36K48K60KMin: 69431.8 / Avg: 70453.93 / Max: 71144.7Min: 68919.2 / Avg: 69192.63 / Max: 69554.9

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Fedora Server 34Ubuntu 20.04.2 LTS200K400K600K800K1000KSE +/- 6145.17, N = 3SE +/- 2093.15, N = 3941892936694
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Fedora Server 34Ubuntu 20.04.2 LTS160K320K480K640K800KMin: 935667 / Avg: 941892 / Max: 954182Min: 933660 / Avg: 936694 / Max: 940709

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileFedora Server 34Ubuntu 20.04.2 LTS20K40K60K80K100KSE +/- 3807.02, N = 15SE +/- 1510.00, N = 15111782.488673.1
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileFedora Server 34Ubuntu 20.04.2 LTS20K40K60K80K100KMin: 92171.2 / Avg: 111782.45 / Max: 146041Min: 77725 / Avg: 88673.13 / Max: 98496.3

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatFedora Server 34Ubuntu 20.04.2 LTS9K18K27K36K45KSE +/- 107.46, N = 3SE +/- 161.47, N = 343885.743688.4
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatFedora Server 34Ubuntu 20.04.2 LTS8K16K24K32K40KMin: 43675.1 / Avg: 43885.73 / Max: 44028Min: 43422 / Avg: 43688.4 / Max: 43979.7

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantFedora Server 34Ubuntu 20.04.2 LTS10K20K30K40K50KSE +/- 170.17, N = 3SE +/- 88.51, N = 346557.746472.9
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantFedora Server 34Ubuntu 20.04.2 LTS8K16K24K32K40KMin: 46368.5 / Avg: 46557.7 / Max: 46897.3Min: 46368.7 / Avg: 46472.87 / Max: 46648.9

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Fedora Server 34Ubuntu 20.04.2 LTS200K400K600K800K1000KSE +/- 1783.60, N = 3SE +/- 1339.58, N = 3837065835539
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Fedora Server 34Ubuntu 20.04.2 LTS150K300K450K600K750KMin: 834000 / Avg: 837064.67 / Max: 840178Min: 832863 / Avg: 835538.67 / Max: 836995

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 3.0Preset: ExhaustiveFedora Server 34Ubuntu 20.04.2 LTS612182430SE +/- 0.00, N = 3SE +/- 0.01, N = 323.5223.681. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 3.0Preset: ExhaustiveFedora Server 34Ubuntu 20.04.2 LTS612182430Min: 23.51 / Avg: 23.52 / Max: 23.52Min: 23.66 / Avg: 23.68 / Max: 23.691. (CXX) g++ options: -O3 -flto -pthread

GPAW

GPAW is a density-functional theory (DFT) Python code based on the projector-augmented wave (PAW) method and the atomic simulation environment (ASE). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 20.1Input: Carbon NanotubeUbuntu 20.04.2 LTS306090120150SE +/- 0.64, N = 3114.901. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: mobilenetV3Fedora Server 34Ubuntu 20.04.2 LTS0.57871.15741.73612.31482.8935SE +/- 0.029, N = 15SE +/- 0.027, N = 52.5352.572MIN: 2.28 / MAX: 3.47MIN: 2.44 / MAX: 4.261. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: mobilenetV3Fedora Server 34Ubuntu 20.04.2 LTS246810Min: 2.33 / Avg: 2.54 / Max: 2.65Min: 2.47 / Avg: 2.57 / Max: 2.631. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: squeezenetv1.1Fedora Server 34Ubuntu 20.04.2 LTS0.93241.86482.79723.72964.662SE +/- 0.035, N = 15SE +/- 0.037, N = 54.0424.144MIN: 3.75 / MAX: 13.49MIN: 4.02 / MAX: 6.051. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: squeezenetv1.1Fedora Server 34Ubuntu 20.04.2 LTS246810Min: 3.8 / Avg: 4.04 / Max: 4.31Min: 4.06 / Avg: 4.14 / Max: 4.261. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: resnet-v2-50Fedora Server 34Ubuntu 20.04.2 LTS510152025SE +/- 0.28, N = 15SE +/- 0.08, N = 518.9321.95MIN: 17.69 / MAX: 159.34MIN: 20.25 / MAX: 89.251. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: resnet-v2-50Fedora Server 34Ubuntu 20.04.2 LTS510152025Min: 17.92 / Avg: 18.93 / Max: 22Min: 21.65 / Avg: 21.95 / Max: 22.161. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: SqueezeNetV1.0Fedora Server 34Ubuntu 20.04.2 LTS246810SE +/- 0.049, N = 15SE +/- 0.096, N = 55.7676.094MIN: 5.34 / MAX: 18.22MIN: 5.73 / MAX: 12.281. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: SqueezeNetV1.0Fedora Server 34Ubuntu 20.04.2 LTS246810Min: 5.56 / Avg: 5.77 / Max: 6.36Min: 5.87 / Avg: 6.09 / Max: 6.431. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: MobileNetV2_224Fedora Server 34Ubuntu 20.04.2 LTS0.89441.78882.68323.57764.472SE +/- 0.046, N = 14SE +/- 0.095, N = 53.9753.947MIN: 3.37 / MAX: 43.2MIN: 3.62 / MAX: 5.861. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: MobileNetV2_224Fedora Server 34Ubuntu 20.04.2 LTS246810Min: 3.7 / Avg: 3.97 / Max: 4.24Min: 3.66 / Avg: 3.95 / Max: 4.191. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: mobilenet-v1-1.0Fedora Server 34Ubuntu 20.04.2 LTS0.65121.30241.95362.60483.256SE +/- 0.057, N = 15SE +/- 0.077, N = 52.8942.849MIN: 2.55 / MAX: 7.14MIN: 2.57 / MAX: 7.421. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: mobilenet-v1-1.0Fedora Server 34Ubuntu 20.04.2 LTS246810Min: 2.62 / Avg: 2.89 / Max: 3.45Min: 2.6 / Avg: 2.85 / Max: 3.061. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: inception-v3Fedora Server 34Ubuntu 20.04.2 LTS612182430SE +/- 0.14, N = 15SE +/- 0.22, N = 522.6024.36MIN: 21.09 / MAX: 293.57MIN: 23.32 / MAX: 78.891. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: inception-v3Fedora Server 34Ubuntu 20.04.2 LTS612182430Min: 21.87 / Avg: 22.6 / Max: 24.21Min: 23.95 / Avg: 24.36 / Max: 25.171. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: DenseNetFedora Server 34Ubuntu 20.04.2 LTS7001400210028003500SE +/- 20.85, N = 3SE +/- 0.81, N = 33042.862907.27MIN: 2872.4 / MAX: 3417.28MIN: 2834.03 / MAX: 3318.391. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: DenseNetFedora Server 34Ubuntu 20.04.2 LTS5001000150020002500Min: 3006.04 / Avg: 3042.86 / Max: 3078.21Min: 2906.41 / Avg: 2907.27 / Max: 2908.891. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: MobileNet v2Fedora Server 34Ubuntu 20.04.2 LTS60120180240300SE +/- 2.56, N = 3SE +/- 0.71, N = 3296.55290.34MIN: 285.14 / MAX: 355.51MIN: 286.82 / MAX: 344.051. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: MobileNet v2Fedora Server 34Ubuntu 20.04.2 LTS50100150200250Min: 291.45 / Avg: 296.55 / Max: 299.49Min: 289.51 / Avg: 290.34 / Max: 291.761. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v2Fedora Server 34Ubuntu 20.04.2 LTS1428425670SE +/- 0.06, N = 3SE +/- 0.31, N = 364.8162.60MIN: 64.62 / MAX: 65.08MIN: 61.94 / MAX: 63.371. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v2Fedora Server 34Ubuntu 20.04.2 LTS1326395265Min: 64.7 / Avg: 64.81 / Max: 64.88Min: 62.15 / Avg: 62.6 / Max: 63.191. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v1.1Fedora Server 34Ubuntu 20.04.2 LTS60120180240300SE +/- 0.09, N = 3SE +/- 0.08, N = 3271.39269.18MIN: 271.08 / MAX: 271.69MIN: 268.98 / MAX: 269.451. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v1.1Fedora Server 34Ubuntu 20.04.2 LTS50100150200250Min: 271.22 / Avg: 271.39 / Max: 271.51Min: 269.08 / Avg: 269.18 / Max: 269.341. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

PlaidML

This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: CPUFedora Server 34Ubuntu 20.04.2 LTS612182430SE +/- 0.19, N = 3SE +/- 0.23, N = 326.9626.73
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: CPUFedora Server 34Ubuntu 20.04.2 LTS612182430Min: 26.58 / Avg: 26.96 / Max: 27.2Min: 26.27 / Avg: 26.73 / Max: 27.01

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: CPUFedora Server 34Ubuntu 20.04.2 LTS510152025SE +/- 0.23, N = 5SE +/- 0.19, N = 322.1322.49
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: CPUFedora Server 34Ubuntu 20.04.2 LTS510152025Min: 21.46 / Avg: 22.13 / Max: 22.76Min: 22.14 / Avg: 22.49 / Max: 22.78

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUFedora Server 34Ubuntu 20.04.2 LTS3691215SE +/- 0.03, N = 3SE +/- 0.03, N = 38.599.04
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUFedora Server 34Ubuntu 20.04.2 LTS3691215Min: 8.54 / Avg: 8.59 / Max: 8.62Min: 9.01 / Avg: 9.04 / Max: 9.09

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUUbuntu 20.04.2 LTS246810SE +/- 0.01, N = 36.25

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUUbuntu 20.04.2 LTS5001000150020002500SE +/- 0.08, N = 32548.12

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUUbuntu 20.04.2 LTS246810SE +/- 0.02, N = 36.25

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUUbuntu 20.04.2 LTS5001000150020002500SE +/- 4.77, N = 32551.27

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUUbuntu 20.04.2 LTS1.02832.05663.08494.11325.1415SE +/- 0.00, N = 34.57

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUUbuntu 20.04.2 LTS7001400210028003500SE +/- 1.93, N = 33486.44

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUUbuntu 20.04.2 LTS1.03052.0613.09154.1225.1525SE +/- 0.01, N = 34.58

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUUbuntu 20.04.2 LTS7001400210028003500SE +/- 16.98, N = 33448.71

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUUbuntu 20.04.2 LTS4K8K12K16K20KSE +/- 155.65, N = 320273.78

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUUbuntu 20.04.2 LTS0.1710.3420.5130.6840.855SE +/- 0.00, N = 30.76

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPUUbuntu 20.04.2 LTS4K8K12K16K20KSE +/- 8.07, N = 320458.87

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPUUbuntu 20.04.2 LTS0.1710.3420.5130.6840.855SE +/- 0.00, N = 30.76

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 OpenCL, NVIDIA OptiX, and NVIDIA CUDA is supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: BMW27 - Compute: CPU-OnlyFedora Server 34Ubuntu 20.04.2 LTS1224364860SE +/- 0.09, N = 3SE +/- 0.06, N = 353.1352.85
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: BMW27 - Compute: CPU-OnlyFedora Server 34Ubuntu 20.04.2 LTS1122334455Min: 52.98 / Avg: 53.13 / Max: 53.3Min: 52.78 / Avg: 52.85 / Max: 52.97

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Classroom - Compute: CPU-OnlyFedora Server 34Ubuntu 20.04.2 LTS306090120150SE +/- 0.10, N = 3SE +/- 0.13, N = 3146.65146.51
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Classroom - Compute: CPU-OnlyFedora Server 34Ubuntu 20.04.2 LTS306090120150Min: 146.45 / Avg: 146.65 / Max: 146.8Min: 146.24 / Avg: 146.51 / Max: 146.67

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Barbershop - Compute: CPU-OnlyFedora Server 34Ubuntu 20.04.2 LTS4080120160200SE +/- 0.29, N = 3SE +/- 0.05, N = 3196.64195.79
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Barbershop - Compute: CPU-OnlyFedora Server 34Ubuntu 20.04.2 LTS4080120160200Min: 196.15 / Avg: 196.64 / Max: 197.15Min: 195.72 / Avg: 195.79 / Max: 195.88

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 1.6Model: yolov4 - Device: OpenMP CPUFedora Server 34Ubuntu 20.04.2 LTS60120180240300SE +/- 1.96, N = 3SE +/- 4.38, N = 122772911. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: yolov4 - Device: OpenMP CPUFedora Server 34Ubuntu 20.04.2 LTS50100150200250Min: 274.5 / Avg: 277.17 / Max: 281Min: 267 / Avg: 290.67 / Max: 320.51. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: bertsquad-10 - Device: OpenMP CPUFedora Server 34Ubuntu 20.04.2 LTS100200300400500SE +/- 4.15, N = 12SE +/- 3.78, N = 124404451. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: bertsquad-10 - Device: OpenMP CPUFedora Server 34Ubuntu 20.04.2 LTS80160240320400Min: 421.5 / Avg: 440.46 / Max: 465Min: 428.5 / Avg: 445.33 / Max: 474.51. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: fcn-resnet101-11 - Device: OpenMP CPUFedora Server 34Ubuntu 20.04.2 LTS20406080100SE +/- 3.41, N = 12SE +/- 4.09, N = 984931. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: fcn-resnet101-11 - Device: OpenMP CPUFedora Server 34Ubuntu 20.04.2 LTS20406080100Min: 67 / Avg: 84.29 / Max: 104Min: 64 / Avg: 92.56 / Max: 102.51. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: shufflenet-v2-10 - Device: OpenMP CPUFedora Server 34Ubuntu 20.04.2 LTS2K4K6K8K10KSE +/- 78.91, N = 3SE +/- 51.37, N = 310911108661. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: shufflenet-v2-10 - Device: OpenMP CPUFedora Server 34Ubuntu 20.04.2 LTS2K4K6K8K10KMin: 10785.5 / Avg: 10910.67 / Max: 11056.5Min: 10783 / Avg: 10866.17 / Max: 109601. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: super-resolution-10 - Device: OpenMP CPUFedora Server 34Ubuntu 20.04.2 LTS10002000300040005000SE +/- 26.74, N = 3SE +/- 34.58, N = 3488447751. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: super-resolution-10 - Device: OpenMP CPUFedora Server 34Ubuntu 20.04.2 LTS8001600240032004000Min: 4832 / Avg: 4884.33 / Max: 4920Min: 4706 / Avg: 4775 / Max: 4813.51. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: EXPoSEUbuntu 20.04.2 LTS30060090012001500SE +/- 15.40, N = 31397.78

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyUbuntu 20.04.2 LTS3691215SE +/- 0.14, N = 313.05

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianUbuntu 20.04.2 LTS246810SE +/- 0.070, N = 36.805

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineUbuntu 20.04.2 LTS20406080100SE +/- 0.34, N = 376.41

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointUbuntu 20.04.2 LTS612182430SE +/- 0.15, N = 326.84

Kripke

Kripke is a simple, scalable, 3D Sn deterministic particle transport code. Its primary purpose is to research how data layout, programming paradigms and architectures effect the implementation and performance of Sn transport. Kripke is developed by LLNL. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4Fedora Server 34Ubuntu 20.04.2 LTS20M40M60M80M100MSE +/- 2249941.31, N = 15SE +/- 1927474.75, N = 1578470519786589791. (CXX) g++ options: -O3 -fopenmp
OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4Fedora Server 34Ubuntu 20.04.2 LTS14M28M42M56M70MMin: 63559540 / Avg: 78470519.33 / Max: 91733410Min: 64469010 / Avg: 78658978.67 / Max: 886930901. (CXX) g++ options: -O3 -fopenmp

BRL-CAD

BRL-CAD is a cross-platform, open-source solid modeling system with built-in benchmark mode. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.32.2VGR Performance MetricFedora Server 34Ubuntu 20.04.2 LTS90K180K270K360K450K4177814224811. (CXX) g++ options: -std=c++11 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -pthread -ldl -lm

102 Results Shown

High Performance Conjugate Gradient
NAS Parallel Benchmarks:
  BT.C
  CG.C
  EP.D
  FT.C
  IS.D
  LU.C
  MG.C
  SP.C
miniFE
NAMD
NWChem
Xcompact3d Incompact3d
OpenFOAM:
  Motorbike 30M
  Motorbike 60M
Xmrig:
  Monero - 1M
  Wownero - 1M
LuxCoreRender:
  DLSC - CPU
  Danish Mood - CPU
  Orange Juice - CPU
  LuxCore Benchmark - CPU
  Rainbow Colors and Prism - CPU
OSPray:
  San Miguel - Path Tracer
  XFrog Forest - Path Tracer
  NASA Streamlines - Path Tracer
  Magnetic Reconnection - Path Tracer
Embree:
  Pathtracer ISPC - Crown
  Pathtracer ISPC - Asian Dragon
SVT-AV1:
  Preset 4 - Bosphorus 4K
  Preset 8 - Bosphorus 4K
SVT-HEVC:
  1 - Bosphorus 1080p
  7 - Bosphorus 1080p
  10 - Bosphorus 1080p
SVT-VP9:
  VMAF Optimized - Bosphorus 1080p
  PSNR/SSIM Optimized - Bosphorus 1080p
  Visual Quality Optimized - Bosphorus 1080p
VP9 libvpx Encoding:
  Speed 0 - Bosphorus 4K
  Speed 5 - Bosphorus 4K
Intel Open Image Denoise:
  RT.hdr_alb_nrm.3840x2160
  RT.ldr_alb_nrm.3840x2160
  RTLightmap.hdr.4096x4096
OpenVKL
libavif avifenc:
  10
  6, Lossless
  10, Lossless
Timed Godot Game Engine Compilation
Timed Linux Kernel Compilation
Timed LLVM Compilation:
  Ninja
  Unix Makefiles
Timed Mesa Compilation
Timed Node.js Compilation
Timed Wasmer Compilation
GROMACS
TensorFlow Lite:
  SqueezeNet
  Inception V4
  NASNet Mobile
  Mobilenet Float
  Mobilenet Quant
  Inception ResNet V2
ASTC Encoder
GPAW
Mobile Neural Network:
  mobilenetV3
  squeezenetv1.1
  resnet-v2-50
  SqueezeNetV1.0
  MobileNetV2_224
  mobilenet-v1-1.0
  inception-v3
TNN:
  CPU - DenseNet
  CPU - MobileNet v2
  CPU - SqueezeNet v2
  CPU - SqueezeNet v1.1
PlaidML:
  No - Inference - VGG16 - CPU
  No - Inference - VGG19 - CPU
  No - Inference - ResNet 50 - CPU
OpenVINO:
  Face Detection 0106 FP16 - CPU:
    FPS
    ms
  Face Detection 0106 FP32 - CPU:
    FPS
    ms
  Person Detection 0106 FP16 - CPU:
    FPS
    ms
  Person Detection 0106 FP32 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP32 - CPU:
    FPS
    ms
Blender:
  BMW27 - CPU-Only
  Classroom - CPU-Only
  Barbershop - CPU-Only
ONNX Runtime:
  yolov4 - OpenMP CPU
  bertsquad-10 - OpenMP CPU
  fcn-resnet101-11 - OpenMP CPU
  shufflenet-v2-10 - OpenMP CPU
  super-resolution-10 - OpenMP CPU
Numenta Anomaly Benchmark:
  EXPoSE
  Relative Entropy
  Windowed Gaussian
  Earthgecko Skyline
  Bayesian Changepoint
Kripke
BRL-CAD

Ubuntu 20.04.2 LTS

Processor: AMD EPYC 7543 32-Core @ 2.80GHz (32 Cores / 64 Threads), Motherboard: TYAN S8036GM2NE-LE (V2.00.B21 BIOS), Chipset: AMD Starship/Matisse, Memory: 64GB, Disk: 1000GB Western Digital WD_BLACK SN850 1TB, Graphics: ASPEED, Monitor: VE228, Network: 2 x Broadcom NetXtreme BCM5720 2-port PCIe

OS: Ubuntu 20.04, Kernel: 5.8.0-55-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.9, OpenGL: 4.5 Mesa 20.2.6 (LLVM 11.0.0 256 bits), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0xa001119
Python Notes: Python 3.8.5
Security Notes: 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 Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 20 June 2021 15:52 by user phoronix.

Fedora Server 34

Processor: AMD EPYC 7543 32-Core @ 2.80GHz (32 Cores / 64 Threads), Motherboard: TYAN S8036GM2NE-LE (V2.00.B21 BIOS), Chipset: AMD Starship/Matisse, Memory: 64GB, Disk: 1000GB Western Digital WD_BLACK SN850 1TB, Graphics: ASPEED, Monitor: VE228, Network: 2 x Broadcom NetXtreme BCM5720 PCIe

OS: Fedora 34, Kernel: 5.12.11-300.fc34.x86_64 (x86_64), Compiler: GCC 11.1.1 20210531, File-System: xfs, Screen Resolution: 1920x1080

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-redhat-linux --disable-libunwind-exceptions --enable-__cxa_atexit --enable-bootstrap --enable-cet --enable-checking=release --enable-gnu-indirect-function --enable-gnu-unique-object --enable-initfini-array --enable-languages=c,c++,fortran,objc,obj-c++,ada,go,d,lto --enable-multilib --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-arch_32=i686 --with-gcc-major-version-only --with-linker-hash-style=gnu --with-tune=generic --without-cuda-driver
Processor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa001119
Python Notes: Python 3.9.5
Security Notes: SELinux + 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 Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 21 June 2021 07:45 by user .