AMD EPYC, Intel Xeon Benchmarks On Ubuntu 20.10 Linux

Benchmarks for a future article of various 1P performance tests...

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2011038-FI-INTELXEON65
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Audio Encoding 2 Tests
AV1 3 Tests
Bioinformatics 3 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 2 Tests
C++ Boost Tests 4 Tests
Chess Test Suite 5 Tests
Timed Code Compilation 8 Tests
C/C++ Compiler Tests 42 Tests
Compression Tests 7 Tests
CPU Massive 62 Tests
Creator Workloads 52 Tests
Cryptography 6 Tests
Database Test Suite 7 Tests
Encoding 12 Tests
Fortran Tests 9 Tests
Game Development 6 Tests
Go Language Tests 2 Tests
HPC - High Performance Computing 36 Tests
Imaging 12 Tests
Java 5 Tests
Common Kernel Benchmarks 8 Tests
Linear Algebra 2 Tests
Machine Learning 15 Tests
Memory Test Suite 2 Tests
Molecular Dynamics 6 Tests
MPI Benchmarks 6 Tests
Multi-Core 61 Tests
NVIDIA GPU Compute 10 Tests
OCR 2 Tests
Intel oneAPI 7 Tests
OpenCL 2 Tests
OpenCV Tests 2 Tests
OpenMPI Tests 9 Tests
Productivity 4 Tests
Programmer / Developer System Benchmarks 16 Tests
Python 5 Tests
Raytracing 6 Tests
Renderers 14 Tests
Scientific Computing 17 Tests
Server 12 Tests
Server CPU Tests 36 Tests
Single-Threaded 22 Tests
Speech 3 Tests
Telephony 3 Tests
Texture Compression 2 Tests
Video Encoding 10 Tests
Common Workstation Benchmarks 6 Tests

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EPYC 7232P
October 25 2020
  1 Day, 7 Hours, 37 Minutes
EPYC 7282
November 02 2020
  1 Day, 1 Hour, 50 Minutes
EPYC 7302P
October 24 2020
  23 Hours, 52 Minutes
EPYC 7352
October 31 2020
  1 Day, 8 Hours, 11 Minutes
EPYC 7402P
October 23 2020
  1 Day, 21 Minutes
EPYC 7452
October 28 2020
  1 Day, 2 Hours, 30 Minutes
EPYC 7502P
October 10 2020
  22 Hours, 53 Minutes
EPYC 7532
October 30 2020
  1 Day, 2 Hours, 9 Minutes
EPYC 7542
November 01 2020
  1 Day, 2 Hours, 25 Minutes
EPYC 7552
October 26 2020
  1 Day, 3 Hours, 19 Minutes
EPYC 7642
October 22 2020
  1 Day, 3 Hours, 17 Minutes
EPYC 7662
October 19 2020
  1 Day, 2 Hours, 48 Minutes
EPYC 7702
October 21 2020
  1 Day, 3 Hours, 9 Minutes
EPYC 7F32
October 27 2020
  1 Day, 2 Hours, 33 Minutes
EPYC 7F52
October 29 2020
  1 Day, 2 Hours, 18 Minutes
EPYC 7F72
October 08 2020
  22 Hours, 58 Minutes
Xeon Silver 4216
October 06 2020
  1 Day, 3 Hours, 41 Minutes
Xeon Gold 5217
October 02 2020
  1 Day, 4 Hours, 2 Minutes
Xeon Gold 5218
October 05 2020
  1 Day, 10 Minutes
Xeon Gold 6226R
September 30 2020
  1 Day, 1 Hour, 9 Minutes
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  1 Day, 2 Hours, 28 Minutes

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AMD EPYC, Intel Xeon Benchmarks On Ubuntu 20.10 LinuxProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226RAMD EPYC 7232P 8-Core @ 3.10GHz (8 Cores / 16 Threads)ASRockRack EPYCD8 (P2.10 BIOS)AMD Starship/Matisse126GB3841GB Micron_9300_MTFDHAL3T8TDPllvmpipeAMD Starship/MatisseVE2282 x Intel I350Ubuntu 20.105.8.0-21-generic (x86_64)GNOME Shell 3.38.0X Server 1.20.8modesetting 1.20.84.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits)GCC 10.2.0ext41920x1080AMD EPYC 7282 16-Core @ 2.80GHz (16 Cores / 32 Threads)AMD EPYC 7302P 16-Core @ 3.00GHz (16 Cores / 32 Threads)AMD EPYC 7352 24-Core @ 2.30GHz (24 Cores / 48 Threads)AMD EPYC 7402P 24-Core @ 2.80GHz (24 Cores / 48 Threads)AMD EPYC 7452 32-Core @ 2.35GHz (32 Cores / 64 Threads)AMD EPYC 7502P 32-Core @ 2.50GHz (32 Cores / 64 Threads)AMD EPYC 7532 32-Core @ 2.40GHz (32 Cores / 64 Threads)AMD EPYC 7542 32-Core @ 2.90GHz (32 Cores / 64 Threads)AMD EPYC 7552 48-Core @ 2.20GHz (48 Cores / 96 Threads)AMD EPYC 7642 48-Core @ 2.30GHz (48 Cores / 96 Threads)AMD EPYC 7662 64-Core @ 2.00GHz (64 Cores / 128 Threads)AMD EPYC 7702 64-Core @ 2.00GHz (64 Cores / 128 Threads)AMD EPYC 7F32 8-Core @ 3.70GHz (8 Cores / 16 Threads)AMD EPYC 7F52 16-Core @ 3.50GHz (16 Cores / 32 Threads)AMD EPYC 7F72 24-Core @ 3.20GHz (24 Cores / 48 Threads)5.8.0-20-generic (x86_64)Intel Xeon Silver 4216 @ 3.20GHz (16 Cores / 32 Threads)Supermicro X11SPL-F v1.02 (3.1 BIOS)Intel Sky Lake-E DMI3 Registers188GB2 x Intel I2103.3 Mesa 20.1.8 (LLVM 10.0.1 256 bits)Intel Xeon Gold 5217 @ 3.70GHz (8 Cores / 16 Threads)Intel Xeon Gold 5218 @ 3.90GHz (16 Cores / 32 Threads)Intel Xeon Gold 6226R @ 3.90GHz (16 Cores / 32 Threads)OpenBenchmarking.orgCompiler Details- EPYC 7232P: --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/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- EPYC 7282: --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/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- EPYC 7302P: --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/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- EPYC 7352: --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/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- EPYC 7402P: --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/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- EPYC 7452: --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/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- EPYC 7502P: --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/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- EPYC 7532: --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/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- EPYC 7542: --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/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- EPYC 7552: --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/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- EPYC 7642: --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/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- EPYC 7662: --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/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- EPYC 7702: --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/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- EPYC 7F32: --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/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- EPYC 7F52: --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/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- EPYC 7F72: --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/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- Xeon Silver 4216: --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/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- Xeon Gold 5217: --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-rn7uax/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-rn7uax/gcc-10-10.2.0/debian/tmp-gcn/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- Xeon Gold 5218: --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/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- Xeon Gold 6226R: --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-rn7uax/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-rn7uax/gcc-10-10.2.0/debian/tmp-gcn/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 -vDisk Details- NONE / errors=remount-ro,relatime,rwProcessor Details- EPYC 7232P: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101c- EPYC 7282: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101c- EPYC 7302P: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101c- EPYC 7352: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101c- EPYC 7402P: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101c- EPYC 7452: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101c- EPYC 7502P: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101c- EPYC 7532: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101c- EPYC 7542: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101c- EPYC 7552: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101c- EPYC 7642: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101c- EPYC 7662: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101c- EPYC 7702: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101c- EPYC 7F32: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101c- EPYC 7F52: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101c- EPYC 7F72: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101c- Xeon Silver 4216: Scaling Governor: intel_cpufreq ondemand - CPU Microcode: 0x5002f01- Xeon Gold 5217: Scaling Governor: intel_cpufreq ondemand - CPU Microcode: 0x5002f01- Xeon Gold 5218: Scaling Governor: intel_cpufreq ondemand - CPU Microcode: 0x5002f01- Xeon Gold 6226R: Scaling Governor: intel_cpufreq ondemand - CPU Microcode: 0x5002f01Java Details- OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Details- EPYC 7232P: Python 2.7.18 + Python 3.8.6- EPYC 7282: Python 2.7.18 + Python 3.8.6- EPYC 7302P: Python 2.7.18 + Python 3.8.6- EPYC 7352: Python 2.7.18 + Python 3.8.6- EPYC 7402P: Python 2.7.18 + Python 3.8.6- EPYC 7452: Python 2.7.18 + Python 3.8.6- EPYC 7502P: Python 2.7.18 + Python 3.8.6- EPYC 7532: Python 2.7.18 + Python 3.8.6- EPYC 7542: Python 2.7.18 + Python 3.8.6- EPYC 7552: Python 2.7.18 + Python 3.8.6- EPYC 7642: Python 2.7.18 + Python 3.8.6- EPYC 7662: Python 2.7.18 + Python 3.8.6- EPYC 7702: Python 2.7.18 + Python 3.8.6- EPYC 7F32: Python 2.7.18 + Python 3.8.6- EPYC 7F52: Python 2.7.18 + Python 3.8.6- EPYC 7F72: Python 2.7.18 + Python 3.8.6- Xeon Silver 4216: Python 3.8.6- Xeon Gold 5217: Python 3.8.6- Xeon Gold 5218: Python 3.8.6- Xeon Gold 6226R: Python 3.8.6Security Details- EPYC 7232P: 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 7282: 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 7302P: 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 7352: 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 7402P: 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 7452: 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 7502P: 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 7532: 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 7542: 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 7552: 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 7642: 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 7662: 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 7702: 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 7F32: 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 7F52: 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 7F72: 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- Xeon Silver 4216: itlb_multihit: KVM: Mitigation of VMX disabled + 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: Mitigation of TSX disabled- Xeon Gold 5217: itlb_multihit: KVM: Mitigation of VMX disabled + 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: Mitigation of TSX disabled- Xeon Gold 5218: itlb_multihit: KVM: Mitigation of VMX disabled + 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: Mitigation of TSX disabled- Xeon Gold 6226R: itlb_multihit: KVM: Mitigation of VMX disabled + 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: Mitigation of TSX disabled

EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226RLogarithmic Result OverviewPhoronix Test SuiteACES DGEMMebizzym-queensBRL-CADC-RayN-QueensArrayFireOpenSSL7-Zip CompressionTachyonrays1benchJohn The RipperStockfishAircrack-ngTensorFlow LiteEmbreeChaos Group V-RAYBlenderNAMDPOV-RayOSPrayApache CassandraOpenVKLLAMMPS Molecular Dynamics SimulatorIndigoBenchSVT-HEVCStress-NGIntel Open Image DenoiseCoremarkFFTETimed MPlayer CompilationSmallptTimed Linux Kernel CompilationKripkeoneDNNY-CruncherSVT-AV1Timed LLVM CompilationPlaidMLTungsten RendererTimed FFmpeg CompilationYafaRaySVT-VP9Incompact3Dx264XsbenchASTC EncoderAppleseedNCNNGraphicsMagickZstd CompressionTTSIOD 3D RendererASKAPMlpack BenchmarkRodiniaNeatBenchHigh Performance Conjugate GradientSunflow Rendering SystemTimed ImageMagick CompilationFacebook RocksDBDarktablePostgreSQL pgbenchBasis UniversalNode.js Express HTTP Load TestTimed HMMer SearchMariaDBDeepSpeechLuaJITctx_clockRNNoiseMobile Neural NetworkStreamVP9 libvpx EncodingTimed PHP CompilationOCRMyPDFLibRawx265AI Benchmark AlphaSudokutTimed GDB GNU Debugger CompilationC-BloscXZ CompressionLULESHHimeno BenchmarkLAME MP3 EncodingTNNRenaissanceGo BenchmarksInfluxDBGIMPFFTWNebular Empirical Analysis ToolFLAC Audio EncodingRAMspeed SMPDolfynMonte Carlo Simulations of Ionised NebulaeAOM AV1DaCapo BenchmarkCraftyTimed Apache CompilationBork File EncrypterRawTherapeePolyhedron Fortran BenchmarksKeyDBSciMarklibrsvgHierarchical INTegrationlibjpeg-turbo tjbenchBullet Physics EngineGEGLTimed MAFFT AlignmentPyBenchGNU Octave BenchmarkJava Gradle BuildWebP Image EncodeHuginGzip CompressionPerl BenchmarksBotanPHPBencheSpeak-NG Speech EngineGitDarmstadt Automotive Parallel Heterogeneous SuiteSystem GZIP DecompressionWireGuard + Linux Networking Stack Stress TestUnpacking The Linux KernelNumpy BenchmarkBYTE Unix BenchmarkdcrawAOBenchECP-CANDLEIORLZMA CompressionPyPerformanceSQLite SpeedtestTesseract OCRTSCPScikit-LearnPostMark

AMD EPYC, Intel Xeon Benchmarks On Ubuntu 20.10 Linuxmt-dgemm: Sustained Floating-Point Rateebizzy: stress-ng: Context Switchingm-queens: Time To Solvestress-ng: Cryptostress-ng: Semaphoresstress-ng: MMAPstress-ng: Glibc Qsort Data Sortingastcenc: Exhaustiveonednn: Deconvolution Batch deconv_3d - u8s8f32 - CPUbrl-cad: VGR Performance Metricc-ray: Total Time - 4K, 16 Rays Per Pixelonednn: IP Batch 1D - u8s8f32 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUstress-ng: CPU Stressstress-ng: Glibc C String Functionsastcenc: Thoroughospray: NASA Streamlines - Path Tracern-queens: Elapsed Timejohn-the-ripper: Blowfishstress-ng: NUMAospray: XFrog Forest - SciVisopenssl: RSA 4096-bit Performanceospray: San Miguel - Path Traceronednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUospray: XFrog Forest - Path Tracerembree: Pathtracer - Crowncompress-7zip: Compress Speed Testtachyon: Total Timerays1bench: Large Scenestockfish: Total Timeblender: Classroom - CPU-Onlyembree: Pathtracer ISPC - Crownaircrack-ng: pgbench: 1 - 250 - Read Onlypgbench: 1 - 250 - Read Only - Average Latencytungsten: Non-Exponentialospray: NASA Streamlines - SciVisopenvino: Face Detection 0106 FP32 - CPUopenvino: Face Detection 0106 FP16 - CPUrocksdb: Read While Writingospray: Magnetic Reconnection - SciVisonednn: IP Batch All - u8s8f32 - CPUgraphics-magick: Sharpenblender: Barbershop - CPU-Onlyv-ray: CPUjohn-the-ripper: MD5rocksdb: Rand Readospray: San Miguel - SciVisembree: Pathtracer - Asian Dragongraphics-magick: Swirlstress-ng: Matrix Mathgraphics-magick: Enhancedembree: Pathtracer ISPC - Asian Dragonnamd: ATPase Simulation - 327,506 Atomspovray: Trace Timestress-ng: SENDFILElammps: 20k Atomsembree: Pathtracer - Asian Dragon Objindigobench: Bedroomblender: BMW27 - CPU-Onlycassandra: Writesembree: Pathtracer ISPC - Asian Dragon Objopenvino: Person Detection 0106 FP16 - CPUrodinia: OpenMP LavaMDopenvino: Person Detection 0106 FP32 - CPUopenvkl: vklBenchmarktensorflow-lite: Mobilenet Quanttensorflow-lite: Mobilenet Floattensorflow-lite: SqueezeNetpgbench: 100 - 250 - Read Onlypgbench: 100 - 250 - Read Only - Average Latencypgbench: 1 - 100 - Read Onlypgbench: 1 - 100 - Read Only - Average Latencypgbench: 1000 - 250 - Read Onlypgbench: 1000 - 250 - Read Only - Average Latencytensorflow-lite: Inception ResNet V2ncnn: CPU-v3-v3 - mobilenet-v3pgbench: 100 - 100 - Read Onlytungsten: Hairpgbench: 100 - 100 - Read Only - Average Latencypgbench: 1000 - 100 - Read Onlypgbench: 1000 - 100 - Read Only - Average Latencytensorflow-lite: Inception V4arrayfire: Conjugate Gradient CPUonednn: IP Batch 1D - f32 - CPUrocksdb: Seq Fillstress-ng: Memory Copyingsvt-hevc: 1080p 8-bit YUV To HEVC Video Encodeonednn: Deconvolution Batch deconv_3d - f32 - CPUindigobench: Supercarstress-ng: Socket Activityncnn: CPU - mnasnetpgbench: 100 - 50 - Read Onlybasis: UASTC Level 3pgbench: 1000 - 50 - Read Onlypgbench: 1000 - 50 - Read Only - Average Latencypgbench: 1 - 50 - Read Onlypgbench: 100 - 50 - Read Only - Average Latencypgbench: 1 - 50 - Read Only - Average Latencyonednn: Convolution Batch Shapes Auto - f32 - CPUoidn: Memorialcoremark: CoreMark Size 666 - Iterations Per Secondonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUrocksdb: Rand Fillffte: N=256, 3D Complex FFT Routineappleseed: Disney Materialonednn: Deconvolution Batch deconv_1d - f32 - CPUonednn: IP Batch All - f32 - CPUcompress-zstd: 19svt-av1: Enc Mode 8 - 1080pbuild-mplayer: Time To Compilerodinia: OpenMP Leukocytencnn: CPU - efficientnet-b0stress-ng: Atomicsmallpt: Global Illumination Renderer; 128 Samplesbuild-linux-kernel: Time To Compilekripke: y-cruncher: Calculating 500M Pi Digitsbuild-llvm: Time To Compilegraphics-magick: Noise-Gaussianplaidml: No - Inference - VGG16 - CPUsvt-vp9: Visual Quality Optimized - Bosphorus 1080pbuild-ffmpeg: Time To Compilerocksdb: Rand Fill Syncrodinia: OpenMP CFD Solvertungsten: Volumetric Causticyafaray: Total Time For Sample Scenebasis: UASTC Level 2svt-vp9: PSNR/SSIM Optimized - Bosphorus 1080pappleseed: Emilyaskap: tConvolve MPI - Degriddingsvt-av1: Enc Mode 4 - 1080ptensorflow-lite: NASNet Mobileincompact3d: Cylinderkvazaar: Bosphorus 4K - Slowkvazaar: Bosphorus 4K - Mediumpolyhedron: tfft2ospray: Magnetic Reconnection - Path Tracerx264: H.264 Video Encodingxsbench: onednn: Convolution Batch Shapes Auto - u8s8f32 - CPUaskap: tConvolve MT - Degriddinggraphics-magick: Resizingx265: Bosphorus 4Konednn: IP Batch 1D - bf16bf16bf16 - CPUdarktable: Boat - CPU-onlyncnn: CPU - googlenetkvazaar: Bosphorus 1080p - Mediumkvazaar: Bosphorus 1080p - Slowonednn: Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPUonednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPUttsiod-renderer: Phong Rendering With Soft-Shadow Mappingmysqlslap: 512pgbench: 100 - 100 - Read Writepgbench: 100 - 100 - Read Write - Average Latencypgbench: 100 - 250 - Read Writemysqlslap: 256pgbench: 100 - 250 - Read Write - Average Latencykvazaar: Bosphorus 1080p - Very Fastmysqlslap: 128stress-ng: System V Message Passingpgbench: 100 - 50 - Read Writepgbench: 100 - 50 - Read Write - Average Latencyneatbench: CPUonednn: Deconvolution Batch deconv_1d - bf16bf16bf16 - CPUonednn: IP Batch All - bf16bf16bf16 - CPUstress-ng: Forkingkvazaar: Bosphorus 1080p - Ultra Faststress-ng: MEMFDonednn: Recurrent Neural Network Training - f32 - CPUaskap: tConvolve OpenMP - Degriddingopenvino: Face Detection 0106 FP16 - CPUdarktable: Masskrug - CPU-onlyhpcg: sunflow: Global Illumination + Image Synthesisbuild-imagemagick: Time To Compileopenvino: Face Detection 0106 FP32 - CPUpgbench: 1000 - 250 - Read Writepgbench: 1000 - 250 - Read Write - Average Latencycompress-pbzip2: 256MB File Compressionrodinia: OpenMP Streamclusterpgbench: 1000 - 100 - Read Writepgbench: 1000 - 100 - Read Write - Average Latencydarktable: Server Rack - CPU-onlyscimark2: Fast Fourier Transformaskap: tConvolve MPI - Griddingncnn: CPU - resnet50kvazaar: Bosphorus 4K - Ultra Fastcompress-zstd: 3kvazaar: Bosphorus 4K - Very Fastpgbench: 1000 - 50 - Read Write - Average Latencypgbench: 1000 - 50 - Read Writemysqlslap: 64openvino: Person Detection 0106 FP16 - CPUmnn: mobilenet-v1-1.0openvino: Person Detection 0106 FP32 - CPUdarktable: Server Room - CPU-onlyncnn: CPU - mobilenetmnn: resnet-v2-50ncnn: CPU - resnet18ncnn: CPU - squeezenetonednn: Deconvolution Batch deconv_3d - bf16bf16bf16 - CPUfftw: Float + SSE - 1D FFT Size 4096gromacs: Water Benchmarkopenvino: Age Gender Recognition Retail 0013 FP32 - CPUncnn: CPU - yolov4-tinynode-express-loadtest: openvino: Age Gender Recognition Retail 0013 FP16 - CPUai-benchmark: Device Inference Scorencnn: CPU - alexnetaskap: tConvolve MT - Griddinglammps: Rhodopsin Proteinstress-ng: Malloconednn: Deconvolution Batch deconv_1d - u8s8f32 - CPUarrayfire: BLAS CPUmlpack: scikit_linearridgeregressionstress-ng: Vector Mathhmmer: Pfam Database Searchmnn: inception-v3lammps: 20k Atomsncnn: CPU - vgg16dacapobench: Tradebeansavifenc: 0astcenc: Mediumavifenc: 2deepspeech: CPUstream: Copymysqlslap: 32caffe: AlexNet - CPU - 200dacapobench: H2appleseed: Material Testercaffe: AlexNet - CPU - 100stream: Triadctx-clock: Context Switch Timernnoise: mlpack: scikit_qdastream: Addstream: Scalevpxenc: Speed 5daphne: OpenMP - Points2Imagebuild-php: Time To Compileocrmypdf: Processing 60 Page PDF Documentffmpeg: H.264 HD To NTSC DVlibraw: Post-Processing Benchmarkcaffe: GoogleNet - CPU - 100botan: AES-256x265: H.265 1080p Video Encodingcaffe: GoogleNet - CPU - 200ai-benchmark: Device AI Scoregraphics-magick: HWB Color Spacepgbench: 1 - 50 - Read Write - Average Latencypgbench: 1 - 50 - Read Writebuild-gdb: Time To Compileblosc: blosclzcompress-xz: Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9lulesh: himeno: Poisson Pressure Solverfftw: Float + SSE - 2D FFT Size 4096tnn: CPU - SqueezeNet v1.1x265: Bosphorus 1080pencode-mp3: WAV To MP3influxdb: 64 - 10000 - 2,5000,1 - 10000tnn: CPU - MobileNet v2tungsten: Water Causticgo-benchmark: buildluajit: Jacobi Successive Over-Relaxationgimp: unsharp-maskpgbench: 1 - 100 - Read Write - Average Latencypgbench: 1 - 100 - Read Writegimp: auto-levelsgimp: rotatemnn: MobileNetV2_224influxdb: 4 - 10000 - 2,5000,1 - 10000ior: Write Testfftw: Stock - 1D FFT Size 32perl-benchmark: Interpreterdacapobench: Tradesoapfftw: Stock - 2D FFT Size 4096ai-benchmark: Device Training Scoremysqlslap: 16rodinia: OpenMP HotSpot3Dmysqlslap: 1neat: encode-flac: WAV To FLACpgbench: 1 - 1 - Read Only - Average Latencyaom-av1: Speed 4 Two-Passdolfyn: Computational Fluid Dynamicsaom-av1: Speed 6 Realtimepgbench: 1 - 1 - Read Onlyavifenc: 8mocassin: Dust 2D tau100.0aom-av1: Speed 6 Two-Passsmhasher: t1ha0_aes_avx2webp: Quality 100, Lossless, Highest Compressionavifenc: 10crafty: Elapsed Timeastcenc: Fastpolyhedron: proteinbuild-apache: Time To Compilebasis: ETC1Spgbench: 100 - 1 - Read Writebork: File Encryption Timepolyhedron: acpgbench: 100 - 1 - Read Write - Average Latencyecp-candle: P3B2gegl: Croppgbench: 100 - 1 - Read Onlyrawtherapee: Total Benchmark Timepgbench: 1000 - 1 - Read Writepgbench: 1000 - 1 - Read Write - Average Latencypgbench: 1 - 1 - Read Writeaom-av1: Speed 8 Realtimepgbench: 100 - 1 - Read Only - Average Latencypgbench: 1 - 1 - Read Write - Average Latencygegl: Scalerenaissance: Scala Dottybasis: UASTC Level 0bullet: 3000 Fallbullet: Raytestsgimp: resizesmhasher: wyhashperl-benchmark: Pod2htmlpgbench: 1000 - 1 - Read Only - Average Latencysmhasher: fasthash32keydb: smhasher: t1ha2_atoncefftw: Stock - 1D FFT Size 4096smhasher: Spooky32smhasher: MeowHashpgbench: 1000 - 1 - Read Onlysmhasher: Spooky32smhasher: t1ha2_atoncesmhasher: fasthash32smhasher: wyhashsmhasher: MeowHashecp-candle: P3B1mlpack: scikit_svmbullet: 136 Ragdollsrsvg: SVG Files To PNGsmhasher: t1ha0_aes_avx2hint: FLOATtjbench: Decompression Throughputgegl: Tile Glasswebp: Defaultscimark2: Dense LU Matrix Factorizationbullet: 1000 Convexbullet: Convex Trimeshgegl: Color Enhancemafft: Multiple Sequence Alignment - LSU RNAgegl: Reflectgegl: Wavelet Blurpyperformance: crypto_pyaesoctave-benchmark: pybench: Total For Average Test Timesbullet: Prim Trimeshhugin: Panorama Photo Assistant + Stitching Timepolyhedron: rnflowjava-gradle-perf: Reactorgegl: Antialiaswebp: Quality 100compress-gzip: Linux Source Tree Archiving To .tar.gzbullet: 1000 Stackgegl: Rotate 90 Degreesphpbench: PHP Benchmark Suiteespeak: Text-To-Speech Synthesisgit: Time To Complete Common Git Commandswebp: Quality 100, Losslesssystem-decompress-gzip: scimark2: Monte Carlogegl: Cartoonwireguard: unpack-linux: linux-4.15.tar.xznumpy: byte: Dhrystone 2dcraw: RAW To PPM Image Conversionaobench: 2048 x 2048 - Total Timescimark2: Jacobi Successive Over-Relaxationfftw: Float + SSE - 1D FFT Size 32scimark2: Compositepolyhedron: linpkbotan: CAST-256daphne: OpenMP - Euclidean Clustercompress-lzma: 256MB File Compressionpyperformance: json_loadsdacapobench: Jythonbotan: Twofishecp-candle: P1B2sqlite-speedtest: Timed Time - Size 1,000tesseract-ocr: Time To OCR 7 Imagestscp: AI Chess Performancebotan: Blowfishscikit-learn: pyperformance: regex_compilepyperformance: raytracepyperformance: pathlibwebp: Quality 100, Highest Compressionbotan: KASUMIpostmark: Disk Transaction Performanceluajit: Monte Carloscimark2: Sparse Matrix Multiplydaphne: OpenMP - NDT Mappingior: Read Teststress-ng: RdRandncnn: CPU - blazefacencnn: CPU - shufflenet-v2ncnn: CPU-v2-v2 - mobilenet-v2mnn: SqueezeNetV1.0stress-ng: CPU Cachepgbench: 1 - 250 - Read Write - Average Latencypgbench: 1 - 250 - Read Writeaskap: tConvolve OpenMP - Griddingsudokut: Total Timesvt-vp9: VMAF Optimized - Bosphorus 1080ponednn: Recurrent Neural Network Inference - f32 - CPUgraphics-magick: Rotateluajit: Dense LU Matrix Factorizationluajit: Sparse Matrix Multiplyluajit: Fast Fourier Transformluajit: Compositerenaissance: Apache Spark Bayeslammps: Rhodopsin Proteinramspeed: Average - Integerramspeed: Triad - Integerramspeed: Scale - Integerramspeed: Copy - Integerramspeed: Add - IntegerEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 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ACES DGEMM

This is a multi-threaded DGEMM benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R48121620SE +/- 0.016232, N = 3SE +/- 0.060143, N = 3SE +/- 0.039936, N = 3SE +/- 0.089451, N = 3SE +/- 0.077277, N = 3SE +/- 0.111318, N = 3SE +/- 0.075924, N = 3SE +/- 0.105342, N = 3SE +/- 0.148138, N = 3SE +/- 0.118524, N = 15SE +/- 0.194041, N = 3SE +/- 0.267671, N = 3SE +/- 0.249884, N = 3SE +/- 0.032837, N = 3SE +/- 0.050387, N = 3SE +/- 0.044903, N = 3SE +/- 0.047059, N = 15SE +/- 0.007863, N = 3SE +/- 0.033031, N = 3SE +/- 0.072656, N = 151.6670384.4990715.0543926.7401647.2730228.9079409.4880859.7323889.21840712.67829913.77061916.54491715.1883582.9695496.1945147.5135364.4817932.1335264.7406375.4850691. (CC) gcc options: -O3 -march=native -fopenmp
OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R48121620Min: 1.64 / Avg: 1.67 / Max: 1.7Min: 4.42 / Avg: 4.5 / Max: 4.62Min: 4.99 / Avg: 5.05 / Max: 5.12Min: 6.59 / Avg: 6.74 / Max: 6.9Min: 7.17 / Avg: 7.27 / Max: 7.43Min: 8.75 / Avg: 8.91 / Max: 9.12Min: 9.38 / Avg: 9.49 / Max: 9.63Min: 9.53 / Avg: 9.73 / Max: 9.89Min: 8.94 / Avg: 9.22 / Max: 9.44Min: 11.57 / Avg: 12.68 / Max: 13.15Min: 13.39 / Avg: 13.77 / Max: 14.03Min: 16.11 / Avg: 16.54 / Max: 17.03Min: 14.9 / Avg: 15.19 / Max: 15.69Min: 2.92 / Avg: 2.97 / Max: 3.03Min: 6.14 / Avg: 6.19 / Max: 6.29Min: 7.44 / Avg: 7.51 / Max: 7.59Min: 4.07 / Avg: 4.48 / Max: 4.74Min: 2.12 / Avg: 2.13 / Max: 2.14Min: 4.68 / Avg: 4.74 / Max: 4.8Min: 5 / Avg: 5.49 / Max: 5.921. (CC) gcc options: -O3 -march=native -fopenmp

ebizzy

This is a test of ebizzy, a program to generate workloads resembling web server workloads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRecords/s, More Is Betterebizzy 0.3EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R600K1200K1800K2400K3000KSE +/- 7205.27, N = 5SE +/- 6805.34, N = 3SE +/- 11715.02, N = 3SE +/- 10570.43, N = 3SE +/- 18509.29, N = 3SE +/- 15859.94, N = 15SE +/- 16618.43, N = 3SE +/- 17880.35, N = 3SE +/- 22468.40, N = 3SE +/- 25647.54, N = 15SE +/- 39699.95, N = 3SE +/- 39160.90, N = 3SE +/- 21024.79, N = 13SE +/- 5978.53, N = 3SE +/- 6477.91, N = 3SE +/- 16169.26, N = 11SE +/- 6646.11, N = 3SE +/- 4330.36, N = 15SE +/- 6857.46, N = 15SE +/- 9070.59, N = 1561062898622511937031482377168664016561611839236194888720716642328453265781825917912571578762256147032618225595431592841005665595614081. (CC) gcc options: -pthread -lpthread -O3 -march=native
OpenBenchmarking.orgRecords/s, More Is Betterebizzy 0.3EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R500K1000K1500K2000K2500KMin: 592286 / Avg: 610627.6 / Max: 636440Min: 976561 / Avg: 986224.67 / Max: 999357Min: 1172032 / Avg: 1193703.33 / Max: 1212252Min: 1461250 / Avg: 1482377.33 / Max: 1493596Min: 1652517 / Avg: 1686640.33 / Max: 1716131Min: 1522253 / Avg: 1656161.2 / Max: 1737769Min: 1806283 / Avg: 1839235.67 / Max: 1859468Min: 1923349 / Avg: 1948887 / Max: 1983335Min: 2041862 / Avg: 2071664.33 / Max: 2115692Min: 2175791 / Avg: 2328453 / Max: 2490030Min: 2583950 / Avg: 2657818 / Max: 2719969Min: 2516831 / Avg: 2591791 / Max: 2648930Min: 2423539 / Avg: 2571578.46 / Max: 2689288Min: 753807 / Avg: 762256.33 / Max: 773808Min: 1458373 / Avg: 1470325.67 / Max: 1480631Min: 1719018 / Avg: 1822558.64 / Max: 1893316Min: 532648 / Avg: 543159.33 / Max: 555461Min: 253911 / Avg: 284100.2 / Max: 316954Min: 521837 / Avg: 566559.33 / Max: 623684Min: 505740 / Avg: 561407.53 / Max: 6385371. (CC) gcc options: -pthread -lpthread -O3 -march=native

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Context SwitchingEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R4M8M12M16M20MSE +/- 24650.01, N = 3SE +/- 50833.87, N = 3SE +/- 9769.89, N = 3SE +/- 52003.80, N = 3SE +/- 50217.68, N = 3SE +/- 81230.48, N = 15SE +/- 98762.81, N = 15SE +/- 138168.08, N = 3SE +/- 120996.14, N = 9SE +/- 155445.81, N = 15SE +/- 94951.48, N = 3SE +/- 205768.32, N = 15SE +/- 107878.70, N = 3SE +/- 28186.41, N = 3SE +/- 29716.88, N = 3SE +/- 94521.27, N = 3SE +/- 22362.31, N = 15SE +/- 82319.41, N = 15SE +/- 14418.05, N = 3SE +/- 83860.69, N = 123005936.076096293.696603833.687892972.469536005.3010457029.3111286825.4111066825.6312327310.6115435223.9115626973.3218566893.6218405418.223819891.887756545.0510203563.102133917.822255169.492443442.053252309.311. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Context SwitchingEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3M6M9M12M15MMin: 2970471.06 / Avg: 3005936.07 / Max: 3053325.69Min: 6009495.73 / Avg: 6096293.69 / Max: 6185538.41Min: 6589281.5 / Avg: 6603833.68 / Max: 6622402.6Min: 7839201.21 / Avg: 7892972.46 / Max: 7996959.81Min: 9465830.97 / Avg: 9536005.3 / Max: 9633318.81Min: 10056342.93 / Avg: 10457029.31 / Max: 11037543.2Min: 10644170.18 / Avg: 11286825.41 / Max: 11817686.65Min: 10790876.02 / Avg: 11066825.63 / Max: 11217454.01Min: 11704204.82 / Avg: 12327310.61 / Max: 12869252.45Min: 14410372.44 / Avg: 15435223.91 / Max: 16355719.87Min: 15485009.26 / Avg: 15626973.32 / Max: 15807189.08Min: 17260837.8 / Avg: 18566893.62 / Max: 19589156.55Min: 18267832.08 / Avg: 18405418.22 / Max: 18618141.77Min: 3764412.74 / Avg: 3819891.88 / Max: 3856289.94Min: 7715369.06 / Avg: 7756545.05 / Max: 7814250.19Min: 10029895.8 / Avg: 10203563.1 / Max: 10355069.48Min: 1997434.33 / Avg: 2133917.82 / Max: 2320916.56Min: 1953054.7 / Avg: 2255169.49 / Max: 2966455.66Min: 2420011.27 / Avg: 2443442.05 / Max: 2469713.86Min: 2861957.3 / Avg: 3252309.31 / Max: 37967481. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

m-queens

A solver for the N-queens problem with multi-threading support via the OpenMP library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterm-queens 1.2Time To SolveEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R306090120150SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.21, N = 388.0944.2042.8132.7728.7325.0023.2223.7921.7116.9516.7914.1814.3173.2636.2726.0875.47119.4372.7056.991. (CXX) g++ options: -fopenmp -O2 -march=native
OpenBenchmarking.orgSeconds, Fewer Is Betterm-queens 1.2Time To SolveEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R20406080100Min: 88.03 / Avg: 88.09 / Max: 88.15Min: 44.14 / Avg: 44.2 / Max: 44.24Min: 42.79 / Avg: 42.81 / Max: 42.83Min: 32.69 / Avg: 32.77 / Max: 32.84Min: 28.62 / Avg: 28.73 / Max: 28.91Min: 24.97 / Avg: 25 / Max: 25.03Min: 23.11 / Avg: 23.22 / Max: 23.28Min: 23.7 / Avg: 23.79 / Max: 23.88Min: 21.67 / Avg: 21.71 / Max: 21.75Min: 16.89 / Avg: 16.94 / Max: 17.02Min: 16.76 / Avg: 16.79 / Max: 16.83Min: 14.11 / Avg: 14.18 / Max: 14.21Min: 14.26 / Avg: 14.31 / Max: 14.34Min: 73.23 / Avg: 73.26 / Max: 73.27Min: 36.26 / Avg: 36.27 / Max: 36.28Min: 26.06 / Avg: 26.08 / Max: 26.11Min: 75.33 / Avg: 75.47 / Max: 75.67Min: 119.39 / Avg: 119.43 / Max: 119.47Min: 72.62 / Avg: 72.7 / Max: 72.76Min: 56.61 / Avg: 56.99 / Max: 57.351. (CXX) g++ options: -fopenmp -O2 -march=native

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CryptoEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3K6K9K12K15KSE +/- 3.27, N = 3SE +/- 5.50, N = 3SE +/- 5.14, N = 3SE +/- 6.01, N = 3SE +/- 7.88, N = 3SE +/- 10.96, N = 3SE +/- 15.42, N = 3SE +/- 9.13, N = 3SE +/- 9.87, N = 3SE +/- 8.63, N = 3SE +/- 13.57, N = 3SE +/- 6.05, N = 3SE +/- 10.21, N = 3SE +/- 3.01, N = 3SE +/- 2.83, N = 3SE +/- 6.75, N = 3SE +/- 0.51, N = 3SE +/- 1.28, N = 3SE +/- 2.67, N = 3SE +/- 6.80, N = 31857.423772.313885.415143.785832.216720.457283.567099.547737.5910001.4010062.2112124.6412001.392267.194581.636326.592353.951480.142437.133101.311. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CryptoEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R2K4K6K8K10KMin: 1850.88 / Avg: 1857.42 / Max: 1860.74Min: 3761.72 / Avg: 3772.31 / Max: 3780.18Min: 3878.04 / Avg: 3885.41 / Max: 3895.31Min: 5132.13 / Avg: 5143.78 / Max: 5152.17Min: 5816.65 / Avg: 5832.21 / Max: 5842.15Min: 6708.43 / Avg: 6720.45 / Max: 6742.34Min: 7252.79 / Avg: 7283.56 / Max: 7300.75Min: 7081.47 / Avg: 7099.54 / Max: 7110.88Min: 7722.55 / Avg: 7737.59 / Max: 7756.19Min: 9984.14 / Avg: 10001.4 / Max: 10010.03Min: 10045.71 / Avg: 10062.21 / Max: 10089.11Min: 12118.46 / Avg: 12124.64 / Max: 12136.74Min: 11981.26 / Avg: 12001.39 / Max: 12014.46Min: 2261.27 / Avg: 2267.19 / Max: 2271.11Min: 4576.02 / Avg: 4581.63 / Max: 4585.09Min: 6314.69 / Avg: 6326.59 / Max: 6338.06Min: 2353.24 / Avg: 2353.95 / Max: 2354.93Min: 1478.51 / Avg: 1480.14 / Max: 1482.67Min: 2433.83 / Avg: 2437.13 / Max: 2442.41Min: 3088.47 / Avg: 3101.31 / Max: 3111.621. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: SemaphoresEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R2M4M6M8M10MSE +/- 699.96, N = 3SE +/- 2401.91, N = 3SE +/- 3591.62, N = 3SE +/- 2929.41, N = 3SE +/- 15685.26, N = 3SE +/- 20238.04, N = 3SE +/- 4978.84, N = 3SE +/- 6229.17, N = 3SE +/- 33103.80, N = 3SE +/- 17764.90, N = 3SE +/- 7510.98, N = 3SE +/- 36035.92, N = 3SE +/- 8815.15, N = 3SE +/- 643.25, N = 3SE +/- 10192.76, N = 3SE +/- 4355.00, N = 3SE +/- 357.32, N = 3SE +/- 311.46, N = 3SE +/- 939.32, N = 3SE +/- 964.98, N = 31081706.292217376.842155404.243189832.783235018.084372996.354353954.554389847.954395637.936519097.166435677.988774129.378681304.251123267.362296867.173398307.362132332.521096633.492185293.192209846.901. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: SemaphoresEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1.5M3M4.5M6M7.5MMin: 1080345.15 / Avg: 1081706.29 / Max: 1082670.26Min: 2212830.65 / Avg: 2217376.84 / Max: 2220994.04Min: 2149676.3 / Avg: 2155404.24 / Max: 2162022.17Min: 3184238.18 / Avg: 3189832.78 / Max: 3194136.61Min: 3203671.95 / Avg: 3235018.08 / Max: 3251762.1Min: 4340438.81 / Avg: 4372996.35 / Max: 4410101.54Min: 4344204.7 / Avg: 4353954.55 / Max: 4360582.14Min: 4379647.09 / Avg: 4389847.95 / Max: 4401142.29Min: 4361662.69 / Avg: 4395637.93 / Max: 4461837.82Min: 6484408.43 / Avg: 6519097.16 / Max: 6543096.92Min: 6422749.86 / Avg: 6435677.98 / Max: 6448767.17Min: 8703722.9 / Avg: 8774129.37 / Max: 8822672.77Min: 8668605.07 / Avg: 8681304.25 / Max: 8698244.81Min: 1121983.91 / Avg: 1123267.36 / Max: 1123985.77Min: 2282258.59 / Avg: 2296867.17 / Max: 2316484.82Min: 3392892.99 / Avg: 3398307.36 / Max: 3406923.14Min: 2131935.1 / Avg: 2132332.52 / Max: 2133045.6Min: 1096212.99 / Avg: 1096633.49 / Max: 1097241.75Min: 2183482.23 / Avg: 2185293.19 / Max: 2186631.46Min: 2208133.37 / Avg: 2209846.9 / Max: 2211472.71. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: MMAPEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R2004006008001000SE +/- 0.16, N = 3SE +/- 0.99, N = 3SE +/- 0.91, N = 3SE +/- 1.19, N = 3SE +/- 0.44, N = 3SE +/- 2.15, N = 3SE +/- 1.84, N = 3SE +/- 0.86, N = 3SE +/- 0.49, N = 3SE +/- 1.69, N = 3SE +/- 3.65, N = 3SE +/- 1.24, N = 3SE +/- 0.14, N = 3SE +/- 0.44, N = 3SE +/- 0.37, N = 3SE +/- 0.29, N = 3SE +/- 0.58, N = 3SE +/- 0.50, N = 3SE +/- 1.27, N = 3SE +/- 1.30, N = 3118.38252.79228.74344.22363.24474.52483.78448.37481.77700.86679.67922.75904.46115.82230.59352.52341.82167.00337.07372.401. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: MMAPEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R160320480640800Min: 118.19 / Avg: 118.38 / Max: 118.69Min: 250.98 / Avg: 252.79 / Max: 254.38Min: 226.95 / Avg: 228.74 / Max: 229.95Min: 341.85 / Avg: 344.22 / Max: 345.65Min: 362.51 / Avg: 363.24 / Max: 364.04Min: 470.58 / Avg: 474.52 / Max: 477.98Min: 481.18 / Avg: 483.78 / Max: 487.34Min: 447.48 / Avg: 448.37 / Max: 450.08Min: 481.21 / Avg: 481.77 / Max: 482.74Min: 697.7 / Avg: 700.86 / Max: 703.5Min: 673.23 / Avg: 679.67 / Max: 685.86Min: 920.64 / Avg: 922.75 / Max: 924.95Min: 904.23 / Avg: 904.46 / Max: 904.72Min: 115.15 / Avg: 115.82 / Max: 116.65Min: 229.85 / Avg: 230.59 / Max: 231.04Min: 351.94 / Avg: 352.52 / Max: 352.84Min: 340.96 / Avg: 341.82 / Max: 342.92Min: 166.49 / Avg: 167 / Max: 167.99Min: 334.95 / Avg: 337.07 / Max: 339.35Min: 370.32 / Avg: 372.4 / Max: 374.791. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Glibc Qsort Data SortingEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R160320480640800SE +/- 0.66, N = 3SE +/- 0.38, N = 3SE +/- 0.63, N = 3SE +/- 0.58, N = 3SE +/- 0.38, N = 3SE +/- 0.82, N = 3SE +/- 1.14, N = 3SE +/- 1.34, N = 3SE +/- 1.41, N = 3SE +/- 0.84, N = 3SE +/- 3.28, N = 3SE +/- 0.22, N = 3SE +/- 1.11, N = 3SE +/- 1.40, N = 8SE +/- 0.72, N = 3SE +/- 0.05, N = 3SE +/- 0.38, N = 3SE +/- 0.38, N = 3SE +/- 0.37, N = 3SE +/- 1.29, N = 3112.92227.20236.25309.62355.44399.46437.71420.92466.71593.06601.79720.68712.74136.68278.96382.48148.1293.46154.23192.521. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Glibc Qsort Data SortingEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R130260390520650Min: 111.63 / Avg: 112.92 / Max: 113.77Min: 226.63 / Avg: 227.2 / Max: 227.93Min: 235.37 / Avg: 236.25 / Max: 237.47Min: 308.5 / Avg: 309.62 / Max: 310.43Min: 354.83 / Avg: 355.44 / Max: 356.13Min: 398.4 / Avg: 399.46 / Max: 401.07Min: 435.47 / Avg: 437.71 / Max: 439.17Min: 418.33 / Avg: 420.92 / Max: 422.83Min: 464.07 / Avg: 466.71 / Max: 468.9Min: 591.77 / Avg: 593.06 / Max: 594.63Min: 595.33 / Avg: 601.79 / Max: 606.03Min: 720.27 / Avg: 720.68 / Max: 721Min: 711.33 / Avg: 712.74 / Max: 714.93Min: 127.17 / Avg: 136.68 / Max: 139.47Min: 277.53 / Avg: 278.96 / Max: 279.87Min: 382.4 / Avg: 382.48 / Max: 382.57Min: 147.67 / Avg: 148.12 / Max: 148.87Min: 92.97 / Avg: 93.46 / Max: 94.2Min: 153.5 / Avg: 154.23 / Max: 154.67Min: 191.13 / Avg: 192.52 / Max: 195.11. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

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 2.0Preset: ExhaustiveEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R80160240320400SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.11, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3259.91138.76128.23103.2388.6879.7372.8575.1867.6353.8353.4945.4345.57216.15110.0481.62225.70347.48225.77170.081. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R60120180240300Min: 259.78 / Avg: 259.91 / Max: 259.98Min: 138.68 / Avg: 138.76 / Max: 138.85Min: 128.18 / Avg: 128.23 / Max: 128.29Min: 103.17 / Avg: 103.23 / Max: 103.27Min: 88.62 / Avg: 88.68 / Max: 88.73Min: 79.71 / Avg: 79.73 / Max: 79.77Min: 72.69 / Avg: 72.85 / Max: 72.94Min: 75.11 / Avg: 75.18 / Max: 75.24Min: 67.59 / Avg: 67.63 / Max: 67.66Min: 53.81 / Avg: 53.83 / Max: 53.85Min: 53.48 / Avg: 53.49 / Max: 53.5Min: 45.41 / Avg: 45.43 / Max: 45.46Min: 45.55 / Avg: 45.57 / Max: 45.6Min: 216.04 / Avg: 216.15 / Max: 216.26Min: 109.88 / Avg: 110.04 / Max: 110.19Min: 81.43 / Avg: 81.62 / Max: 81.8Min: 225.61 / Avg: 225.7 / Max: 225.8Min: 347.43 / Avg: 347.48 / Max: 347.53Min: 225.67 / Avg: 225.77 / Max: 225.89Min: 170.01 / Avg: 170.08 / Max: 170.131. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R246810SE +/- 0.016739, N = 3SE +/- 0.003251, N = 3SE +/- 0.009367, N = 3SE +/- 0.029649, N = 3SE +/- 0.040178, N = 3SE +/- 0.012376, N = 3SE +/- 0.002229, N = 3SE +/- 0.009684, N = 3SE +/- 0.005853, N = 3SE +/- 0.010460, N = 3SE +/- 0.007272, N = 3SE +/- 0.007061, N = 3SE +/- 0.001289, N = 3SE +/- 0.035360, N = 3SE +/- 0.004750, N = 3SE +/- 0.004196, N = 3SE +/- 0.001583, N = 3SE +/- 0.002328, N = 3SE +/- 0.001357, N = 3SE +/- 0.011697, N = 36.8005103.4148303.4334402.8194202.4505802.1435302.0051502.0783001.8979001.5719001.5582701.4586001.5785005.7668002.8577502.1862801.8879001.9988701.4430000.9099431. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215Min: 6.77 / Avg: 6.8 / Max: 6.83Min: 3.41 / Avg: 3.41 / Max: 3.42Min: 3.42 / Avg: 3.43 / Max: 3.45Min: 2.76 / Avg: 2.82 / Max: 2.85Min: 2.37 / Avg: 2.45 / Max: 2.51Min: 2.13 / Avg: 2.14 / Max: 2.17Min: 2 / Avg: 2.01 / Max: 2.01Min: 2.06 / Avg: 2.08 / Max: 2.09Min: 1.89 / Avg: 1.9 / Max: 1.91Min: 1.56 / Avg: 1.57 / Max: 1.59Min: 1.55 / Avg: 1.56 / Max: 1.57Min: 1.45 / Avg: 1.46 / Max: 1.47Min: 1.58 / Avg: 1.58 / Max: 1.58Min: 5.71 / Avg: 5.77 / Max: 5.83Min: 2.85 / Avg: 2.86 / Max: 2.87Min: 2.18 / Avg: 2.19 / Max: 2.19Min: 1.89 / Avg: 1.89 / Max: 1.89Min: 1.99 / Avg: 2 / Max: 2Min: 1.44 / Avg: 1.44 / Max: 1.45Min: 0.89 / Avg: 0.91 / Max: 0.921. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

BRL-CAD

BRL-CAD 7.28.0 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 7.30.8VGR Performance MetricEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R140K280K420K560K700K103756198305203319259728295105339539363429345756401222515657521818627953635485116858218441317830134882856521410831615091. (CXX) g++ options: -std=c++11 -pipe -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -rdynamic -lSM -lICE -lGLU -lGL -lGLdispatch -lX11 -lXext -lXrender -lpthread -ldl -luuid -lm

C-Ray

This is a test of C-Ray, a simple raytracer designed to test the floating-point CPU performance. This test is multi-threaded (16 threads per core), will shoot 8 rays per pixel for anti-aliasing, and will generate a 1600 x 1200 image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterC-Ray 1.1Total Time - 4K, 16 Rays Per PixelEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R20406080100SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.38, N = 3SE +/- 0.14, N = 3SE +/- 0.25, N = 380.5440.6739.1629.9626.1923.0521.3121.8619.9315.6315.4413.0613.1466.9733.2424.0059.7994.9957.8045.371. (CC) gcc options: -lm -lpthread -O3
OpenBenchmarking.orgSeconds, Fewer Is BetterC-Ray 1.1Total Time - 4K, 16 Rays Per PixelEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R20406080100Min: 80.51 / Avg: 80.54 / Max: 80.6Min: 40.63 / Avg: 40.67 / Max: 40.74Min: 39.14 / Avg: 39.16 / Max: 39.19Min: 29.93 / Avg: 29.95 / Max: 30Min: 26.14 / Avg: 26.19 / Max: 26.28Min: 23 / Avg: 23.05 / Max: 23.09Min: 21.3 / Avg: 21.31 / Max: 21.33Min: 21.84 / Avg: 21.86 / Max: 21.88Min: 19.88 / Avg: 19.93 / Max: 19.98Min: 15.59 / Avg: 15.62 / Max: 15.65Min: 15.35 / Avg: 15.44 / Max: 15.48Min: 12.99 / Avg: 13.06 / Max: 13.1Min: 13.11 / Avg: 13.14 / Max: 13.19Min: 66.85 / Avg: 66.97 / Max: 67.05Min: 33.19 / Avg: 33.24 / Max: 33.27Min: 23.84 / Avg: 24 / Max: 24.1Min: 59.72 / Avg: 59.79 / Max: 59.92Min: 94.6 / Avg: 94.99 / Max: 95.76Min: 57.66 / Avg: 57.8 / Max: 58.07Min: 44.86 / Avg: 45.37 / Max: 45.651. (CC) gcc options: -lm -lpthread -O3

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R0.79341.58682.38023.17363.967SE +/- 0.011562, N = 3SE +/- 0.005861, N = 3SE +/- 0.000748, N = 3SE +/- 0.015595, N = 3SE +/- 0.017821, N = 3SE +/- 0.009834, N = 3SE +/- 0.002991, N = 3SE +/- 0.017511, N = 5SE +/- 0.004512, N = 3SE +/- 0.011385, N = 3SE +/- 0.011580, N = 3SE +/- 0.013886, N = 3SE +/- 0.032574, N = 3SE +/- 0.018540, N = 3SE +/- 0.000982, N = 3SE +/- 0.000440, N = 3SE +/- 0.003885, N = 3SE +/- 0.002305, N = 3SE +/- 0.000779, N = 3SE +/- 0.002054, N = 33.5261601.8172201.7179701.7483301.5200901.3706601.1791701.3068901.1717902.2871902.1814002.6716102.9631602.9972601.4971801.3278401.0468201.3634100.8070210.4873901. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R246810Min: 3.51 / Avg: 3.53 / Max: 3.55Min: 1.81 / Avg: 1.82 / Max: 1.83Min: 1.72 / Avg: 1.72 / Max: 1.72Min: 1.72 / Avg: 1.75 / Max: 1.78Min: 1.49 / Avg: 1.52 / Max: 1.55Min: 1.35 / Avg: 1.37 / Max: 1.38Min: 1.17 / Avg: 1.18 / Max: 1.18Min: 1.28 / Avg: 1.31 / Max: 1.38Min: 1.17 / Avg: 1.17 / Max: 1.18Min: 2.27 / Avg: 2.29 / Max: 2.31Min: 2.16 / Avg: 2.18 / Max: 2.2Min: 2.64 / Avg: 2.67 / Max: 2.69Min: 2.9 / Avg: 2.96 / Max: 3.01Min: 2.98 / Avg: 3 / Max: 3.03Min: 1.5 / Avg: 1.5 / Max: 1.5Min: 1.33 / Avg: 1.33 / Max: 1.33Min: 1.04 / Avg: 1.05 / Max: 1.05Min: 1.36 / Avg: 1.36 / Max: 1.37Min: 0.81 / Avg: 0.81 / Max: 0.81Min: 0.48 / Avg: 0.49 / Max: 0.491. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenVINO

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 6226R6K12K18K24K30KSE +/- 37.46, N = 3SE +/- 13.09, N = 3SE +/- 13.64, N = 3SE +/- 13.62, N = 3SE +/- 17.40, N = 3SE +/- 16.15, N = 3SE +/- 61.05, N = 3SE +/- 22.13, N = 3SE +/- 54.92, N = 3SE +/- 56.63, N = 3SE +/- 14.24, N = 3SE +/- 183.24, N = 3SE +/- 20.84, N = 3SE +/- 6.67, N = 3SE +/- 0.93, N = 3SE +/- 24.25, N = 3SE +/- 6.47, N = 3SE +/- 29.10, N = 34157.149710.468843.6311838.8813267.2616906.2919121.2216112.2820075.5323914.7022787.2129381.0726399.134813.339632.7814162.607447.0313712.141. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 6226R5K10K15K20K25KMin: 4085.57 / Avg: 4157.14 / Max: 4212.12Min: 9685.99 / Avg: 9710.46 / Max: 9730.76Min: 8816.35 / Avg: 8843.63 / Max: 8857.35Min: 11812.28 / Avg: 11838.88 / Max: 11857.28Min: 13243.23 / Avg: 13267.26 / Max: 13301.06Min: 16874.31 / Avg: 16906.29 / Max: 16926.14Min: 19019.2 / Avg: 19121.22 / Max: 19230.34Min: 16069.26 / Avg: 16112.28 / Max: 16142.81Min: 19967.16 / Avg: 20075.53 / Max: 20145.19Min: 23815.23 / Avg: 23914.7 / Max: 24011.34Min: 22765.93 / Avg: 22787.21 / Max: 22814.23Min: 29139.87 / Avg: 29381.07 / Max: 29740.62Min: 26362.89 / Avg: 26399.13 / Max: 26435.08Min: 4800.61 / Avg: 4813.33 / Max: 4823.16Min: 9631.57 / Avg: 9632.78 / Max: 9634.61Min: 14134.41 / Avg: 14162.6 / Max: 14210.87Min: 7436.01 / Avg: 7447.03 / Max: 7458.42Min: 13654.58 / Avg: 13712.14 / Max: 13748.441. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 6226R6K12K18K24K30KSE +/- 6.39, N = 3SE +/- 47.23, N = 3SE +/- 24.93, N = 3SE +/- 7.81, N = 3SE +/- 94.67, N = 3SE +/- 61.19, N = 3SE +/- 95.18, N = 3SE +/- 3.90, N = 3SE +/- 105.19, N = 3SE +/- 69.23, N = 3SE +/- 48.36, N = 3SE +/- 124.62, N = 3SE +/- 21.64, N = 3SE +/- 1.21, N = 3SE +/- 8.85, N = 3SE +/- 29.68, N = 3SE +/- 1.97, N = 3SE +/- 18.18, N = 34161.939634.728690.0711890.0513173.7616765.7218803.4416165.3020072.5624039.1322849.6629367.2126400.824791.209658.1714247.657449.8113643.821. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 6226R5K10K15K20K25KMin: 4152.56 / Avg: 4161.93 / Max: 4174.13Min: 9543.58 / Avg: 9634.72 / Max: 9701.76Min: 8640.29 / Avg: 8690.07 / Max: 8717.28Min: 11875.61 / Avg: 11890.05 / Max: 11902.45Min: 12985.33 / Avg: 13173.76 / Max: 13284.11Min: 16649.67 / Avg: 16765.72 / Max: 16857.38Min: 18695.04 / Avg: 18803.44 / Max: 18993.16Min: 16158.84 / Avg: 16165.3 / Max: 16172.32Min: 19928.28 / Avg: 20072.56 / Max: 20277.29Min: 23957.88 / Avg: 24039.13 / Max: 24176.84Min: 22764.7 / Avg: 22849.66 / Max: 22932.16Min: 29117.97 / Avg: 29367.21 / Max: 29493.71Min: 26376.32 / Avg: 26400.82 / Max: 26443.96Min: 4788.78 / Avg: 4791.2 / Max: 4792.51Min: 9642.33 / Avg: 9658.17 / Max: 9672.92Min: 14196.17 / Avg: 14247.65 / Max: 14299Min: 7446.66 / Avg: 7449.81 / Max: 7453.43Min: 13610.78 / Avg: 13643.82 / Max: 13673.491. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CPU StressEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R5K10K15K20K25KSE +/- 15.00, N = 3SE +/- 16.02, N = 3SE +/- 3.65, N = 3SE +/- 11.41, N = 3SE +/- 82.07, N = 3SE +/- 31.91, N = 3SE +/- 96.28, N = 3SE +/- 20.90, N = 3SE +/- 87.55, N = 3SE +/- 88.84, N = 3SE +/- 100.29, N = 3SE +/- 36.02, N = 3SE +/- 93.46, N = 3SE +/- 33.82, N = 3SE +/- 41.36, N = 3SE +/- 18.81, N = 3SE +/- 3.08, N = 3SE +/- 4.24, N = 3SE +/- 5.89, N = 3SE +/- 13.91, N = 33032.555717.265909.268387.538849.7311239.1911749.8811978.8411865.3416615.5417243.3721376.1021019.803674.276955.5310130.615947.373672.966153.757830.001. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CPU StressEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R4K8K12K16K20KMin: 3005.06 / Avg: 3032.55 / Max: 3056.68Min: 5692.55 / Avg: 5717.26 / Max: 5747.29Min: 5901.98 / Avg: 5909.26 / Max: 5913.34Min: 8369.21 / Avg: 8387.53 / Max: 8408.46Min: 8752.21 / Avg: 8849.73 / Max: 9012.83Min: 11198.19 / Avg: 11239.19 / Max: 11302.04Min: 11558.57 / Avg: 11749.88 / Max: 11864.54Min: 11940.43 / Avg: 11978.84 / Max: 12012.32Min: 11690.46 / Avg: 11865.34 / Max: 11960.53Min: 16439.03 / Avg: 16615.54 / Max: 16721.45Min: 17044.13 / Avg: 17243.37 / Max: 17363.05Min: 21311.89 / Avg: 21376.1 / Max: 21436.5Min: 20833.09 / Avg: 21019.8 / Max: 21120.92Min: 3615.45 / Avg: 3674.27 / Max: 3732.59Min: 6878.65 / Avg: 6955.53 / Max: 7020.43Min: 10093.48 / Avg: 10130.61 / Max: 10154.39Min: 5941.32 / Avg: 5947.37 / Max: 5951.4Min: 3665.52 / Avg: 3672.96 / Max: 3680.2Min: 6145.49 / Avg: 6153.75 / Max: 6165.14Min: 7802.28 / Avg: 7830 / Max: 7845.851. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Glibc C String FunctionsEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1.3M2.6M3.9M5.2M6.5MSE +/- 5330.86, N = 3SE +/- 16555.91, N = 3SE +/- 11537.25, N = 3SE +/- 39675.39, N = 3SE +/- 20548.42, N = 3SE +/- 16272.59, N = 3SE +/- 22554.93, N = 3SE +/- 19986.48, N = 3SE +/- 19652.38, N = 3SE +/- 2133.81, N = 3SE +/- 57546.11, N = 7SE +/- 56345.22, N = 11SE +/- 62679.17, N = 3SE +/- 29450.71, N = 15SE +/- 5912.49, N = 3SE +/- 32794.20, N = 15SE +/- 5284.26, N = 3SE +/- 4147.52, N = 3SE +/- 6937.27, N = 3SE +/- 31508.09, N = 31042243.132047387.052200579.052717558.273211403.373590511.093849752.303784170.304246337.425302329.115327299.966245020.156286052.681219801.832550932.983377578.531451060.01904546.151515227.301842247.721. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Glibc C String FunctionsEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1.1M2.2M3.3M4.4M5.5MMin: 1034794.36 / Avg: 1042243.13 / Max: 1052573.66Min: 2014313.38 / Avg: 2047387.05 / Max: 2065300.15Min: 2184229.94 / Avg: 2200579.05 / Max: 2222855.19Min: 2652908.17 / Avg: 2717558.27 / Max: 2789729.05Min: 3170306.61 / Avg: 3211403.37 / Max: 3232024.23Min: 3561427.51 / Avg: 3590511.09 / Max: 3617702.01Min: 3804854.57 / Avg: 3849752.3 / Max: 3875985.36Min: 3762447.59 / Avg: 3784170.3 / Max: 3824091.44Min: 4207123.49 / Avg: 4246337.42 / Max: 4268257.26Min: 5298085.1 / Avg: 5302329.11 / Max: 5304839.4Min: 4997687.02 / Avg: 5327299.96 / Max: 5414332.63Min: 5736425.83 / Avg: 6245020.15 / Max: 6430106.78Min: 6222889.08 / Avg: 6286052.68 / Max: 6411409.76Min: 943860.7 / Avg: 1219801.83 / Max: 1294121.56Min: 2539123.49 / Avg: 2550932.98 / Max: 2557361.85Min: 3136220.09 / Avg: 3377578.53 / Max: 3500588.06Min: 1444269.1 / Avg: 1451060.01 / Max: 1461468.51Min: 896751.36 / Avg: 904546.15 / Max: 910900.53Min: 1501478.59 / Avg: 1515227.3 / Max: 1523716.24Min: 1781329.55 / Avg: 1842247.72 / Max: 1886671.441. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

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 2.0Preset: ThoroughEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1020304050SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 332.3817.5416.3013.3011.4810.399.569.878.887.267.216.256.2627.0013.7710.4928.5543.3728.4121.611. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R918273645Min: 32.37 / Avg: 32.38 / Max: 32.38Min: 17.54 / Avg: 17.54 / Max: 17.55Min: 16.29 / Avg: 16.3 / Max: 16.3Min: 13.3 / Avg: 13.3 / Max: 13.3Min: 11.48 / Avg: 11.48 / Max: 11.49Min: 10.38 / Avg: 10.39 / Max: 10.4Min: 9.55 / Avg: 9.56 / Max: 9.57Min: 9.87 / Avg: 9.87 / Max: 9.87Min: 8.88 / Avg: 8.88 / Max: 8.89Min: 7.25 / Avg: 7.26 / Max: 7.26Min: 7.21 / Avg: 7.21 / Max: 7.22Min: 6.24 / Avg: 6.25 / Max: 6.25Min: 6.25 / Avg: 6.26 / Max: 6.27Min: 26.97 / Avg: 27 / Max: 27.02Min: 13.76 / Avg: 13.77 / Max: 13.78Min: 10.48 / Avg: 10.49 / Max: 10.5Min: 28.55 / Avg: 28.55 / Max: 28.56Min: 43.34 / Avg: 43.37 / Max: 43.39Min: 28.4 / Avg: 28.41 / Max: 28.42Min: 21.6 / Avg: 21.61 / Max: 21.621. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

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: NASA Streamlines - Renderer: Path TracerEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R48121620SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 4SE +/- 0.00, N = 12SE +/- 0.04, N = 3SE +/- 0.00, N = 15SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 4SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 12SE +/- 0.00, N = 72.775.385.997.378.529.4710.3910.1011.0313.8914.1516.4816.223.486.989.463.392.384.375.52
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: Path TracerEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R48121620Min: 2.74 / Avg: 2.77 / Max: 2.82Min: 5.35 / Avg: 5.38 / Max: 5.41Min: 5.95 / Avg: 5.99 / Max: 6.02Min: 7.35 / Avg: 7.37 / Max: 7.41Min: 8.47 / Avg: 8.52 / Max: 8.62Min: 9.35 / Avg: 9.47 / Max: 9.62Min: 10.31 / Avg: 10.39 / Max: 10.42Min: 10.1 / Avg: 10.1 / Max: 10.1Min: 10.99 / Avg: 11.03 / Max: 11.11Min: 13.89 / Avg: 13.89 / Max: 13.89Min: 14.08 / Avg: 14.15 / Max: 14.29Min: 16.39 / Avg: 16.48 / Max: 16.67Min: 16.13 / Avg: 16.22 / Max: 16.39Min: 3.44 / Avg: 3.48 / Max: 3.55Min: 6.94 / Avg: 6.98 / Max: 6.99Min: 9.43 / Avg: 9.46 / Max: 9.52Min: 3.39 / Avg: 3.39 / Max: 3.4Min: 2.38 / Avg: 2.38 / Max: 2.39Min: 4.35 / Avg: 4.37 / Max: 4.37Min: 5.49 / Avg: 5.52 / Max: 5.52

N-Queens

This is a test of the OpenMP version of a test that solves the N-queens problem. The board problem size is 18. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterN-Queens 1.0Elapsed TimeEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R510152025SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.003, N = 3SE +/- 0.001, N = 3SE +/- 0.003, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.005, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.005, N = 3SE +/- 0.000, N = 317.1468.6458.3236.4095.5964.8824.5014.6404.1903.2863.2532.7252.74614.2787.0465.06911.78318.65211.3638.8391. (CC) gcc options: -static -fopenmp -O3 -march=native
OpenBenchmarking.orgSeconds, Fewer Is BetterN-Queens 1.0Elapsed TimeEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R510152025Min: 17.15 / Avg: 17.15 / Max: 17.15Min: 8.64 / Avg: 8.65 / Max: 8.65Min: 8.32 / Avg: 8.32 / Max: 8.32Min: 6.41 / Avg: 6.41 / Max: 6.41Min: 5.59 / Avg: 5.6 / Max: 5.6Min: 4.88 / Avg: 4.88 / Max: 4.88Min: 4.5 / Avg: 4.5 / Max: 4.51Min: 4.64 / Avg: 4.64 / Max: 4.64Min: 4.19 / Avg: 4.19 / Max: 4.2Min: 3.28 / Avg: 3.29 / Max: 3.29Min: 3.25 / Avg: 3.25 / Max: 3.26Min: 2.72 / Avg: 2.72 / Max: 2.73Min: 2.74 / Avg: 2.75 / Max: 2.75Min: 14.27 / Avg: 14.28 / Max: 14.29Min: 7.05 / Avg: 7.05 / Max: 7.05Min: 5.07 / Avg: 5.07 / Max: 5.07Min: 11.78 / Avg: 11.78 / Max: 11.79Min: 18.65 / Avg: 18.65 / Max: 18.65Min: 11.36 / Avg: 11.36 / Max: 11.37Min: 8.84 / Avg: 8.84 / Max: 8.841. (CC) gcc options: -static -fopenmp -O3 -march=native

John The Ripper

This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: BlowfishEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R16K32K48K64K80KSE +/- 5.36, N = 3SE +/- 2.73, N = 3SE +/- 20.42, N = 3SE +/- 111.57, N = 3SE +/- 78.29, N = 3SE +/- 99.32, N = 3SE +/- 25.03, N = 3SE +/- 8.37, N = 3SE +/- 66.64, N = 3SE +/- 39.72, N = 3SE +/- 27.43, N = 3SE +/- 107.31, N = 3SE +/- 108.39, N = 3SE +/- 20.85, N = 3SE +/- 17.90, N = 3SE +/- 170.86, N = 3SE +/- 0.67, N = 3SE +/- 15.24, N = 3SE +/- 6.36, N = 3SE +/- 83.38, N = 311027220392269529439341014117644348433964525561138619227441166272128322682837810206121297121380273081. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2
OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: BlowfishEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R13K26K39K52K65KMin: 11017 / Avg: 11027.33 / Max: 11035Min: 22034 / Avg: 22039.33 / Max: 22043Min: 22665 / Avg: 22695 / Max: 22734Min: 29217 / Avg: 29439.33 / Max: 29567Min: 34015 / Avg: 34100.67 / Max: 34257Min: 40978 / Avg: 41176.33 / Max: 41285Min: 44298 / Avg: 44348 / Max: 44375Min: 43382 / Avg: 43396.33 / Max: 43411Min: 45181 / Avg: 45255 / Max: 45388Min: 61064 / Avg: 61138 / Max: 61200Min: 61891 / Avg: 61922.33 / Max: 61977Min: 74216 / Avg: 74411.33 / Max: 74586Min: 66135 / Avg: 66272 / Max: 66486Min: 12793 / Avg: 12832.33 / Max: 12864Min: 26793 / Avg: 26828.33 / Max: 26851Min: 37499 / Avg: 37810.33 / Max: 38088Min: 20611 / Avg: 20611.67 / Max: 20613Min: 12941 / Avg: 12971.33 / Max: 12989Min: 21369 / Avg: 21379.67 / Max: 21391Min: 27158 / Avg: 27308.33 / Max: 274461. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: NUMAEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R2004006008001000SE +/- 0.74, N = 3SE +/- 0.32, N = 3SE +/- 0.19, N = 3SE +/- 2.33, N = 3SE +/- 3.07, N = 3SE +/- 0.23, N = 3SE +/- 0.34, N = 3SE +/- 2.78, N = 3SE +/- 4.13, N = 3SE +/- 4.10, N = 3SE +/- 4.53, N = 3SE +/- 5.03, N = 3SE +/- 2.39, N = 3SE +/- 0.90, N = 3SE +/- 0.27, N = 3SE +/- 0.86, N = 3SE +/- 0.27, N = 3SE +/- 0.82, N = 3SE +/- 0.18, N = 3SE +/- 2.06, N = 3169.35346.53358.21480.83542.30624.86677.26661.64718.59928.80942.931120.671099.57209.03424.32587.94290.64181.62301.83376.571. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: NUMAEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R2004006008001000Min: 167.87 / Avg: 169.35 / Max: 170.21Min: 345.97 / Avg: 346.53 / Max: 347.07Min: 357.94 / Avg: 358.21 / Max: 358.57Min: 477.89 / Avg: 480.83 / Max: 485.42Min: 538.27 / Avg: 542.3 / Max: 548.34Min: 624.58 / Avg: 624.86 / Max: 625.31Min: 676.7 / Avg: 677.26 / Max: 677.88Min: 658.47 / Avg: 661.64 / Max: 667.18Min: 710.47 / Avg: 718.59 / Max: 723.95Min: 923.85 / Avg: 928.8 / Max: 936.93Min: 933.87 / Avg: 942.93 / Max: 947.76Min: 1113.59 / Avg: 1120.67 / Max: 1130.41Min: 1095.06 / Avg: 1099.57 / Max: 1103.18Min: 207.24 / Avg: 209.03 / Max: 210.15Min: 423.84 / Avg: 424.32 / Max: 424.79Min: 587.03 / Avg: 587.94 / Max: 589.65Min: 290.22 / Avg: 290.64 / Max: 291.15Min: 180.05 / Avg: 181.62 / Max: 182.81Min: 301.48 / Avg: 301.83 / Max: 302.1Min: 372.5 / Avg: 376.57 / Max: 379.131. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

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: XFrog Forest - Renderer: SciVisEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 5SE +/- 0.00, N = 12SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 12SE +/- 0.00, N = 10SE +/- 0.00, N = 13SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 10SE +/- 0.00, N = 121.853.593.934.875.626.296.946.707.449.359.4310.9910.792.294.576.302.331.673.013.68
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: SciVisEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215Min: 1.84 / Avg: 1.85 / Max: 1.86Min: 3.58 / Avg: 3.59 / Max: 3.6Min: 3.92 / Avg: 3.93 / Max: 3.94Min: 4.85 / Avg: 4.87 / Max: 4.88Min: 5.62 / Avg: 5.62 / Max: 5.65Min: 6.29 / Avg: 6.29 / Max: 6.29Min: 6.94 / Avg: 6.94 / Max: 6.94Min: 6.67 / Avg: 6.7 / Max: 6.71Min: 7.41 / Avg: 7.44 / Max: 7.46Min: 9.35 / Avg: 9.35 / Max: 9.35Min: 9.43 / Avg: 9.43 / Max: 9.43Min: 10.99 / Avg: 10.99 / Max: 10.99Min: 10.75 / Avg: 10.79 / Max: 10.87Min: 2.28 / Avg: 2.29 / Max: 2.3Min: 4.57 / Avg: 4.57 / Max: 4.59Min: 6.29 / Avg: 6.3 / Max: 6.33Min: 2.33 / Avg: 2.33 / Max: 2.34Min: 1.67 / Avg: 1.67 / Max: 1.67Min: 3 / Avg: 3.01 / Max: 3.01Min: 3.66 / Avg: 3.68 / Max: 3.68

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test measures the RSA 4096-bit performance of OpenSSL. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSigns Per Second, More Is BetterOpenSSL 1.1.1RSA 4096-bit PerformanceEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3K6K9K12K15KSE +/- 0.38, N = 3SE +/- 0.25, N = 3SE +/- 0.80, N = 3SE +/- 0.65, N = 3SE +/- 1.87, N = 3SE +/- 1.27, N = 3SE +/- 0.83, N = 3SE +/- 3.92, N = 3SE +/- 1.54, N = 3SE +/- 2.07, N = 3SE +/- 0.23, N = 3SE +/- 0.76, N = 3SE +/- 6.95, N = 3SE +/- 0.42, N = 3SE +/- 1.70, N = 3SE +/- 9.11, N = 3SE +/- 3.86, N = 3SE +/- 2.67, N = 3SE +/- 5.21, N = 3SE +/- 8.78, N = 31878.63757.13873.25221.35854.86850.17396.37180.27757.89912.010299.812330.211503.72264.84574.46350.73278.92069.63396.84374.01. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.orgSigns Per Second, More Is BetterOpenSSL 1.1.1RSA 4096-bit PerformanceEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R2K4K6K8K10KMin: 1878 / Avg: 1878.63 / Max: 1879.3Min: 3756.8 / Avg: 3757.1 / Max: 3757.6Min: 3872.2 / Avg: 3873.23 / Max: 3874.8Min: 5220 / Avg: 5221.3 / Max: 5222Min: 5851.2 / Avg: 5854.77 / Max: 5857.5Min: 6848.7 / Avg: 6850.07 / Max: 6852.6Min: 7394.7 / Avg: 7396.27 / Max: 7397.5Min: 7172.5 / Avg: 7180.17 / Max: 7185.4Min: 7755.5 / Avg: 7757.77 / Max: 7760.7Min: 9907.9 / Avg: 9912.03 / Max: 9914.1Min: 10299.4 / Avg: 10299.83 / Max: 10300.2Min: 12329 / Avg: 12330.2 / Max: 12331.6Min: 11489.8 / Avg: 11503.67 / Max: 11511.3Min: 2264.3 / Avg: 2264.77 / Max: 2265.6Min: 4571.2 / Avg: 4574.37 / Max: 4577Min: 6340.8 / Avg: 6350.7 / Max: 6368.9Min: 3271.5 / Avg: 3278.9 / Max: 3284.5Min: 2064.3 / Avg: 2069.63 / Max: 2072.5Min: 3386.5 / Avg: 3396.83 / Max: 3403.1Min: 4356.4 / Avg: 4373.97 / Max: 4382.91. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

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 TracerEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1.1162.2323.3484.4645.58SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 7SE +/- 0.00, N = 3SE +/- 0.00, N = 6SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.761.571.642.132.432.803.012.903.204.144.174.964.840.921.862.611.400.951.752.02
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: Path TracerEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R246810Min: 0.76 / Avg: 0.76 / Max: 0.76Min: 1.56 / Avg: 1.57 / Max: 1.57Min: 1.63 / Avg: 1.64 / Max: 1.64Min: 2.12 / Avg: 2.13 / Max: 2.13Min: 2.43 / Avg: 2.43 / Max: 2.43Min: 2.79 / Avg: 2.8 / Max: 2.8Min: 3.01 / Avg: 3.01 / Max: 3.02Min: 2.89 / Avg: 2.9 / Max: 2.9Min: 3.19 / Avg: 3.2 / Max: 3.21Min: 4.13 / Avg: 4.14 / Max: 4.15Min: 4.17 / Avg: 4.17 / Max: 4.18Min: 4.95 / Avg: 4.96 / Max: 4.98Min: 4.83 / Avg: 4.84 / Max: 4.85Min: 0.92 / Avg: 0.92 / Max: 0.92Min: 1.86 / Avg: 1.86 / Max: 1.86Min: 2.6 / Avg: 2.61 / Max: 2.61Min: 1.4 / Avg: 1.4 / Max: 1.4Min: 0.95 / Avg: 0.95 / Max: 0.95Min: 1.74 / Avg: 1.75 / Max: 1.75Min: 2.02 / Avg: 2.02 / Max: 2.02

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R0.72321.44642.16962.89283.616SE +/- 0.004002, N = 3SE +/- 0.004830, N = 3SE +/- 0.001101, N = 3SE +/- 0.004607, N = 3SE +/- 0.003515, N = 3SE +/- 0.003046, N = 3SE +/- 0.001858, N = 3SE +/- 0.002118, N = 3SE +/- 0.001175, N = 3SE +/- 0.002251, N = 3SE +/- 0.001383, N = 3SE +/- 0.001863, N = 3SE +/- 0.000923, N = 3SE +/- 0.009985, N = 3SE +/- 0.000682, N = 3SE +/- 0.002303, N = 3SE +/- 0.003025, N = 3SE +/- 0.004818, N = 3SE +/- 0.006250, N = 3SE +/- 0.005095, N = 33.2140301.7555001.6102601.4175501.1531901.0440800.9646791.0701500.9042130.8065850.7870110.7192450.8081882.7716501.4111101.0653800.7351951.0523400.5812110.4928721. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R246810Min: 3.21 / Avg: 3.21 / Max: 3.22Min: 1.75 / Avg: 1.76 / Max: 1.76Min: 1.61 / Avg: 1.61 / Max: 1.61Min: 1.41 / Avg: 1.42 / Max: 1.43Min: 1.15 / Avg: 1.15 / Max: 1.16Min: 1.04 / Avg: 1.04 / Max: 1.05Min: 0.96 / Avg: 0.96 / Max: 0.97Min: 1.07 / Avg: 1.07 / Max: 1.07Min: 0.9 / Avg: 0.9 / Max: 0.91Min: 0.8 / Avg: 0.81 / Max: 0.81Min: 0.79 / Avg: 0.79 / Max: 0.79Min: 0.72 / Avg: 0.72 / Max: 0.72Min: 0.81 / Avg: 0.81 / Max: 0.81Min: 2.75 / Avg: 2.77 / Max: 2.78Min: 1.41 / Avg: 1.41 / Max: 1.41Min: 1.06 / Avg: 1.07 / Max: 1.07Min: 0.73 / Avg: 0.74 / Max: 0.74Min: 1.04 / Avg: 1.05 / Max: 1.06Min: 0.57 / Avg: 0.58 / Max: 0.59Min: 0.48 / Avg: 0.49 / Max: 0.51. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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: XFrog Forest - Renderer: Path TracerEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1.32532.65063.97595.30126.6265SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 5SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 8SE +/- 0.00, N = 6SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 40.971.912.102.592.993.353.713.603.955.015.065.895.771.212.453.351.310.921.672.01
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: Path TracerEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R246810Min: 0.97 / Avg: 0.97 / Max: 0.98Min: 1.9 / Avg: 1.91 / Max: 1.91Min: 2.1 / Avg: 2.1 / Max: 2.1Min: 2.58 / Avg: 2.59 / Max: 2.59Min: 2.99 / Avg: 2.99 / Max: 3Min: 3.34 / Avg: 3.35 / Max: 3.36Min: 3.7 / Avg: 3.71 / Max: 3.72Min: 3.58 / Avg: 3.6 / Max: 3.61Min: 3.94 / Avg: 3.95 / Max: 3.95Min: 5 / Avg: 5.01 / Max: 5.03Min: 5.05 / Avg: 5.06 / Max: 5.08Min: 5.88 / Avg: 5.89 / Max: 5.92Min: 5.75 / Avg: 5.77 / Max: 5.78Min: 1.21 / Avg: 1.21 / Max: 1.22Min: 2.44 / Avg: 2.45 / Max: 2.46Min: 3.34 / Avg: 3.35 / Max: 3.36Min: 1.3 / Avg: 1.31 / Max: 1.31Min: 0.92 / Avg: 0.92 / Max: 0.92Min: 1.67 / Avg: 1.67 / Max: 1.67Min: 2.01 / Avg: 2.01 / Max: 2.01

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: CrownEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1122334455SE +/- 0.0338, N = 3SE +/- 0.0125, N = 3SE +/- 0.1564, N = 3SE +/- 0.0388, N = 3SE +/- 0.0199, N = 3SE +/- 0.0437, N = 3SE +/- 0.0479, N = 3SE +/- 0.0542, N = 3SE +/- 0.0447, N = 3SE +/- 0.0627, N = 3SE +/- 0.0818, N = 3SE +/- 0.1026, N = 3SE +/- 0.2108, N = 3SE +/- 0.0274, N = 3SE +/- 0.0122, N = 3SE +/- 0.0580, N = 3SE +/- 0.0055, N = 3SE +/- 0.0091, N = 3SE +/- 0.0059, N = 3SE +/- 0.0951, N = 38.176316.449517.325022.067125.433828.672731.162229.818833.389442.268042.404049.578548.70329.847119.768027.484412.84637.872912.817616.4805
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: CrownEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1020304050Min: 8.11 / Avg: 8.18 / Max: 8.23Min: 16.43 / Avg: 16.45 / Max: 16.47Min: 17.03 / Avg: 17.33 / Max: 17.57Min: 22.01 / Avg: 22.07 / Max: 22.14Min: 25.4 / Avg: 25.43 / Max: 25.46Min: 28.6 / Avg: 28.67 / Max: 28.75Min: 31.07 / Avg: 31.16 / Max: 31.23Min: 29.74 / Avg: 29.82 / Max: 29.92Min: 33.3 / Avg: 33.39 / Max: 33.44Min: 42.15 / Avg: 42.27 / Max: 42.37Min: 42.24 / Avg: 42.4 / Max: 42.51Min: 49.46 / Avg: 49.58 / Max: 49.78Min: 48.33 / Avg: 48.7 / Max: 49.06Min: 9.79 / Avg: 9.85 / Max: 9.89Min: 19.75 / Avg: 19.77 / Max: 19.79Min: 27.39 / Avg: 27.48 / Max: 27.59Min: 12.84 / Avg: 12.85 / Max: 12.86Min: 7.86 / Avg: 7.87 / Max: 7.89Min: 12.81 / Avg: 12.82 / Max: 12.83Min: 16.3 / Avg: 16.48 / Max: 16.63

7-Zip Compression

This is a test of 7-Zip using p7zip with its integrated benchmark feature or upstream 7-Zip for the Windows x64 build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed TestEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R60K120K180K240K300KSE +/- 167.08, N = 3SE +/- 175.91, N = 3SE +/- 425.32, N = 3SE +/- 65.73, N = 3SE +/- 595.37, N = 3SE +/- 558.60, N = 3SE +/- 212.89, N = 3SE +/- 133.83, N = 3SE +/- 398.90, N = 3SE +/- 439.74, N = 3SE +/- 769.78, N = 3SE +/- 456.77, N = 3SE +/- 715.50, N = 3SE +/- 309.32, N = 3SE +/- 949.16, N = 3SE +/- 404.23, N = 3SE +/- 95.40, N = 3SE +/- 149.59, N = 3SE +/- 322.59, N = 3SE +/- 112.22, N = 346061911479549612569913856115890316999516737417571622491422777226278325759755476109514149916669394182970124855271. (CXX) g++ options: -pipe -lpthread
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed TestEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R50K100K150K200K250KMin: 45763 / Avg: 46060.67 / Max: 46341Min: 90955 / Avg: 91146.67 / Max: 91498Min: 94818 / Avg: 95496.33 / Max: 96280Min: 125568 / Avg: 125699 / Max: 125774Min: 137395 / Avg: 138560.67 / Max: 139354Min: 157932 / Avg: 158902.67 / Max: 159867Min: 169586 / Avg: 169995 / Max: 170302Min: 167106 / Avg: 167373.67 / Max: 167508Min: 174939 / Avg: 175715.67 / Max: 176262Min: 224366 / Avg: 224914.33 / Max: 225784Min: 226262 / Avg: 227771.67 / Max: 228788Min: 262092 / Avg: 262783 / Max: 263646Min: 256297 / Avg: 257597 / Max: 258765Min: 54860 / Avg: 55475.67 / Max: 55836Min: 107957 / Avg: 109514 / Max: 111233Min: 149146 / Avg: 149916.33 / Max: 150514Min: 66762 / Avg: 66939.33 / Max: 67089Min: 41631 / Avg: 41828.67 / Max: 42122Min: 69515 / Avg: 70124 / Max: 70613Min: 85305 / Avg: 85526.67 / Max: 856681. (CXX) g++ options: -pipe -lpthread

Tachyon

This is a test of the threaded Tachyon, a parallel ray-tracing system, measuring the time to ray-trace a sample scene. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTachyon 0.99b6Total TimeEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R306090120150SE +/- 0.23, N = 3SE +/- 0.36, N = 3SE +/- 0.18, N = 3SE +/- 0.21, N = 3SE +/- 0.09, N = 3SE +/- 0.14, N = 3SE +/- 0.53, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.26, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.13, N = 3SE +/- 0.79, N = 3SE +/- 0.05, N = 3SE +/- 1.24, N = 3SE +/- 0.77, N = 5114.0460.1255.8345.0037.9034.1731.6432.6528.8823.0623.1419.2919.5695.8147.1534.7378.39120.4475.0563.541. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTachyon 0.99b6Total TimeEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R20406080100Min: 113.61 / Avg: 114.04 / Max: 114.42Min: 59.52 / Avg: 60.12 / Max: 60.75Min: 55.59 / Avg: 55.83 / Max: 56.17Min: 44.77 / Avg: 45 / Max: 45.43Min: 37.78 / Avg: 37.9 / Max: 38.07Min: 33.93 / Avg: 34.17 / Max: 34.43Min: 31.08 / Avg: 31.64 / Max: 32.7Min: 32.54 / Avg: 32.65 / Max: 32.75Min: 28.86 / Avg: 28.88 / Max: 28.92Min: 23.04 / Avg: 23.06 / Max: 23.07Min: 22.64 / Avg: 23.14 / Max: 23.51Min: 19.17 / Avg: 19.29 / Max: 19.41Min: 19.49 / Avg: 19.56 / Max: 19.64Min: 95.7 / Avg: 95.81 / Max: 95.96Min: 47 / Avg: 47.15 / Max: 47.23Min: 34.46 / Avg: 34.73 / Max: 34.87Min: 76.84 / Avg: 78.39 / Max: 79.45Min: 120.38 / Avg: 120.44 / Max: 120.54Min: 73.61 / Avg: 75.05 / Max: 77.51Min: 61.46 / Avg: 63.54 / Max: 66.241. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread

rays1bench

This is a test of rays1bench, a simple path-tracer / ray-tracing that supports SSE and AVX instructions, multi-threading, and other features. This test profile is measuring the performance of the "large scene" in rays1bench. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmrays/s, More Is Betterrays1bench 2020-01-09Large SceneEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R50100150200250SE +/- 0.01, N = 3SE +/- 0.17, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.26, N = 3SE +/- 0.10, N = 3SE +/- 0.27, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.37, N = 3SE +/- 0.01, N = 3SE +/- 0.13, N = 3SE +/- 0.70, N = 348.6183.3790.31114.47134.24152.48168.05162.20182.84218.50219.29243.21243.7758.90108.28149.4455.1239.2355.4273.87
OpenBenchmarking.orgmrays/s, More Is Betterrays1bench 2020-01-09Large SceneEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R4080120160200Min: 48.59 / Avg: 48.61 / Max: 48.62Min: 83.02 / Avg: 83.37 / Max: 83.54Min: 90.19 / Avg: 90.31 / Max: 90.51Min: 114.38 / Avg: 114.47 / Max: 114.53Min: 134.14 / Avg: 134.24 / Max: 134.33Min: 152.45 / Avg: 152.48 / Max: 152.51Min: 167.87 / Avg: 168.05 / Max: 168.17Min: 162.12 / Avg: 162.2 / Max: 162.29Min: 182.76 / Avg: 182.84 / Max: 182.93Min: 218.04 / Avg: 218.5 / Max: 218.94Min: 219.13 / Avg: 219.29 / Max: 219.46Min: 242.78 / Avg: 243.21 / Max: 243.72Min: 243.6 / Avg: 243.77 / Max: 243.91Min: 58.86 / Avg: 58.9 / Max: 58.95Min: 108.18 / Avg: 108.28 / Max: 108.44Min: 149.35 / Avg: 149.44 / Max: 149.54Min: 54.38 / Avg: 55.12 / Max: 55.51Min: 39.22 / Avg: 39.23 / Max: 39.24Min: 55.17 / Avg: 55.42 / Max: 55.59Min: 72.47 / Avg: 73.87 / Max: 74.63

Stockfish

This is a test of Stockfish, an advanced C++11 chess benchmark that can scale up to 128 CPU cores. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 9Total TimeEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R30M60M90M120M150MSE +/- 110676.68, N = 3SE +/- 143183.39, N = 3SE +/- 154040.64, N = 3SE +/- 93520.98, N = 3SE +/- 385170.47, N = 3SE +/- 528676.50, N = 3SE +/- 479922.60, N = 3SE +/- 517707.55, N = 3SE +/- 717031.41, N = 3SE +/- 75175.84, N = 3SE +/- 548666.83, N = 3SE +/- 1025327.97, N = 3SE +/- 1059441.52, N = 3SE +/- 170891.29, N = 3SE +/- 360191.07, N = 3SE +/- 479570.41, N = 3SE +/- 168719.02, N = 3SE +/- 164520.70, N = 3SE +/- 42663.96, N = 3SE +/- 233203.68, N = 3207598513958125941704153540042166081161770506630757611847375670380669002102074873102795064124216434120547124237666934699409065253280315494352004067733435491398527231. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++11 -pedantic -O3 -msse -msse3 -mpopcnt -flto
OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 9Total TimeEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R20M40M60M80M100MMin: 20550233 / Avg: 20759851 / Max: 20926249Min: 39360150 / Avg: 39581259.33 / Max: 39849413Min: 41396712 / Avg: 41704153.33 / Max: 41875062Min: 53817366 / Avg: 54004216.33 / Max: 54104972Min: 60059394 / Avg: 60811616.67 / Max: 61331567Min: 69730749 / Avg: 70506629.67 / Max: 71516666Min: 75056297 / Avg: 75761184 / Max: 76677833Min: 72731896 / Avg: 73756703 / Max: 74397135Min: 79334347 / Avg: 80669001.67 / Max: 81790669Min: 101934223 / Avg: 102074873.33 / Max: 102191213Min: 101701713 / Avg: 102795064.33 / Max: 103422629Min: 123082836 / Avg: 124216434.33 / Max: 126263135Min: 118647013 / Avg: 120547124.33 / Max: 122309234Min: 23555785 / Avg: 23766693 / Max: 24105063Min: 46597321 / Avg: 46994090 / Max: 47713189Min: 64378102 / Avg: 65253280 / Max: 66030738Min: 31364829 / Avg: 31549435.33 / Max: 31886358Min: 19712973 / Avg: 20040677 / Max: 20230195Min: 33360607 / Avg: 33435491 / Max: 33508358Min: 39403371 / Avg: 39852723 / Max: 401856301. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++11 -pedantic -O3 -msse -msse3 -mpopcnt -flto

Blender

Blender is an open-source 3D creation software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL or CUDA is supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CPU-OnlyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R150300450600750SE +/- 1.46, N = 3SE +/- 1.54, N = 3SE +/- 0.76, N = 3SE +/- 0.28, N = 3SE +/- 0.92, N = 3SE +/- 1.21, N = 3SE +/- 0.37, N = 3SE +/- 1.29, N = 3SE +/- 0.75, N = 3SE +/- 0.37, N = 3SE +/- 0.21, N = 3SE +/- 0.14, N = 3SE +/- 0.10, N = 3SE +/- 0.71, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.15, N = 3SE +/- 1.57, N = 3SE +/- 1.04, N = 3SE +/- 0.77, N = 3632.59339.18314.32249.36217.18197.80179.24186.22165.59130.69133.19112.70112.75503.70264.58198.29451.18693.38451.38343.41
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CPU-OnlyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R120240360480600Min: 630.83 / Avg: 632.59 / Max: 635.48Min: 336.13 / Avg: 339.18 / Max: 341.08Min: 313.32 / Avg: 314.32 / Max: 315.81Min: 248.79 / Avg: 249.36 / Max: 249.66Min: 215.35 / Avg: 217.18 / Max: 218.25Min: 196.12 / Avg: 197.8 / Max: 200.15Min: 178.66 / Avg: 179.24 / Max: 179.92Min: 184.11 / Avg: 186.22 / Max: 188.57Min: 164.16 / Avg: 165.59 / Max: 166.7Min: 130.1 / Avg: 130.69 / Max: 131.36Min: 132.79 / Avg: 133.19 / Max: 133.49Min: 112.45 / Avg: 112.7 / Max: 112.92Min: 112.54 / Avg: 112.75 / Max: 112.87Min: 502.58 / Avg: 503.7 / Max: 505.02Min: 264.44 / Avg: 264.58 / Max: 264.72Min: 198.23 / Avg: 198.29 / Max: 198.32Min: 450.89 / Avg: 451.18 / Max: 451.38Min: 690.28 / Avg: 693.38 / Max: 695.31Min: 449.31 / Avg: 451.38 / Max: 452.56Min: 342.04 / Avg: 343.41 / Max: 344.69

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: CrownEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1122334455SE +/- 0.0256, N = 3SE +/- 0.0244, N = 3SE +/- 0.0400, N = 3SE +/- 0.0273, N = 3SE +/- 0.0331, N = 3SE +/- 0.0422, N = 3SE +/- 0.0548, N = 3SE +/- 0.0427, N = 3SE +/- 0.0422, N = 3SE +/- 0.0515, N = 3SE +/- 0.0207, N = 3SE +/- 0.1030, N = 3SE +/- 0.0803, N = 3SE +/- 0.0320, N = 3SE +/- 0.1215, N = 3SE +/- 0.0143, N = 3SE +/- 0.0080, N = 3SE +/- 0.0084, N = 3SE +/- 0.0435, N = 3SE +/- 0.0075, N = 37.832015.793916.713221.188924.331827.683430.124628.784632.073140.710340.489147.844446.98009.391918.793626.119511.67148.129314.711117.3677
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: CrownEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1020304050Min: 7.8 / Avg: 7.83 / Max: 7.88Min: 15.75 / Avg: 15.79 / Max: 15.83Min: 16.63 / Avg: 16.71 / Max: 16.77Min: 21.14 / Avg: 21.19 / Max: 21.24Min: 24.3 / Avg: 24.33 / Max: 24.4Min: 27.6 / Avg: 27.68 / Max: 27.73Min: 30.02 / Avg: 30.12 / Max: 30.2Min: 28.71 / Avg: 28.78 / Max: 28.86Min: 31.99 / Avg: 32.07 / Max: 32.12Min: 40.64 / Avg: 40.71 / Max: 40.81Min: 40.46 / Avg: 40.49 / Max: 40.53Min: 47.71 / Avg: 47.84 / Max: 48.05Min: 46.89 / Avg: 46.98 / Max: 47.14Min: 9.35 / Avg: 9.39 / Max: 9.45Min: 18.63 / Avg: 18.79 / Max: 19.03Min: 26.1 / Avg: 26.12 / Max: 26.15Min: 11.66 / Avg: 11.67 / Max: 11.69Min: 8.11 / Avg: 8.13 / Max: 8.14Min: 14.62 / Avg: 14.71 / Max: 14.76Min: 17.35 / Avg: 17.37 / Max: 17.38

Aircrack-ng

Aircrack-ng is a tool for assessing WiFi/WLAN network security. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.5.2EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R30K60K90K120K150KSE +/- 15.12, N = 3SE +/- 13.79, N = 3SE +/- 18.89, N = 3SE +/- 25.21, N = 3SE +/- 20.42, N = 3SE +/- 29.25, N = 3SE +/- 24.82, N = 3SE +/- 12.96, N = 3SE +/- 28.23, N = 3SE +/- 57.23, N = 3SE +/- 90.90, N = 3SE +/- 48.31, N = 3SE +/- 54.79, N = 3SE +/- 34.12, N = 3SE +/- 137.58, N = 3SE +/- 30.11, N = 3SE +/- 24.96, N = 3SE +/- 3.21, N = 3SE +/- 8.59, N = 3SE +/- 26.51, N = 324167.8546844.1449828.6663293.5373241.3582555.8689791.6087239.1096854.95123029.76123965.62147145.81146423.1829153.0158522.6679756.2641283.0526000.1942837.2449602.011. (CXX) g++ options: -O3 -fvisibility=hidden -masm=intel -fcommon -rdynamic -lpthread -lz -lcrypto -lhwloc -ldl -lm -pthread
OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.5.2EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R30K60K90K120K150KMin: 24150.37 / Avg: 24167.85 / Max: 24197.95Min: 46826.92 / Avg: 46844.14 / Max: 46871.41Min: 49793.43 / Avg: 49828.66 / Max: 49858.12Min: 63244.31 / Avg: 63293.53 / Max: 63327.58Min: 73200.79 / Avg: 73241.35 / Max: 73265.78Min: 82521.84 / Avg: 82555.86 / Max: 82614.09Min: 89743.86 / Avg: 89791.6 / Max: 89827.23Min: 87214.38 / Avg: 87239.1 / Max: 87258.21Min: 96817.27 / Avg: 96854.95 / Max: 96910.2Min: 122953.6 / Avg: 123029.76 / Max: 123141.84Min: 123874.35 / Avg: 123965.62 / Max: 124147.41Min: 147064.91 / Avg: 147145.81 / Max: 147232.02Min: 146314.98 / Avg: 146423.18 / Max: 146492.38Min: 29096.71 / Avg: 29153.01 / Max: 29214.55Min: 58360.01 / Avg: 58522.66 / Max: 58796.19Min: 79706.26 / Avg: 79756.26 / Max: 79810.34Min: 41250.75 / Avg: 41283.05 / Max: 41332.16Min: 25994.48 / Avg: 26000.19 / Max: 26005.6Min: 42822.49 / Avg: 42837.24 / Max: 42852.23Min: 49550.07 / Avg: 49602.01 / Max: 49637.21. (CXX) g++ options: -O3 -fvisibility=hidden -masm=intel -fcommon -rdynamic -lpthread -lz -lcrypto -lhwloc -ldl -lm -pthread

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 250 - Mode: Read OnlyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R200K400K600K800K1000KSE +/- 935.52, N = 3SE +/- 983.22, N = 3SE +/- 747.28, N = 3SE +/- 2381.51, N = 3SE +/- 1659.30, N = 3SE +/- 1300.37, N = 3SE +/- 698.73, N = 3SE +/- 1060.79, N = 3SE +/- 163.34, N = 3SE +/- 2858.95, N = 3SE +/- 3994.82, N = 3SE +/- 439.48, N = 3SE +/- 3428.94, N = 3SE +/- 314.41, N = 3SE +/- 247.10, N = 3SE +/- 1237.62, N = 3SE +/- 2793.56, N = 3SE +/- 3079.50, N = 3SE +/- 2796.06, N = 3SE +/- 3310.53, N = 3174275356559384689479150554557623136680113629507733943914347908863106097610435872311284494726023223944042239034023934920491. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 250 - Mode: Read OnlyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R200K400K600K800K1000KMin: 172542.45 / Avg: 174274.56 / Max: 175753.34Min: 354891.14 / Avg: 356559.36 / Max: 358295.09Min: 383335.36 / Avg: 384688.76 / Max: 385914.57Min: 474924.16 / Avg: 479150.29 / Max: 483165.89Min: 551482.14 / Avg: 554557.27 / Max: 557175.36Min: 620536.19 / Avg: 623136.4 / Max: 624482.31Min: 679380.73 / Avg: 680112.82 / Max: 681509.73Min: 628222.87 / Avg: 629507.42 / Max: 631611.99Min: 733728.54 / Avg: 733942.94 / Max: 734263.61Min: 910647.35 / Avg: 914347.4 / Max: 919972.73Min: 901023.8 / Avg: 908863.23 / Max: 914118.29Min: 1060178.1 / Avg: 1060975.86 / Max: 1061694.29Min: 1038320.6 / Avg: 1043587.2 / Max: 1050024.46Min: 230581.84 / Avg: 231127.53 / Max: 231670.99Min: 449071.78 / Avg: 449472.37 / Max: 449923.29Min: 599951.34 / Avg: 602321.79 / Max: 604124.16Min: 391412.46 / Avg: 394403.67 / Max: 399986.02Min: 218773.69 / Avg: 223902.6 / Max: 229420.13Min: 396810.02 / Avg: 402393.05 / Max: 405460.56Min: 485708.76 / Avg: 492048.84 / Max: 496871.581. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 250 - Mode: Read Only - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R0.32290.64580.96871.29161.6145SE +/- 0.008, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.003, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.005, N = 3SE +/- 0.015, N = 3SE +/- 0.005, N = 3SE +/- 0.003, N = 31.4350.7020.6500.5220.4510.4020.3680.3980.3410.2740.2760.2370.2411.0820.5570.4150.6351.1170.6220.5091. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 250 - Mode: Read Only - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R246810Min: 1.42 / Avg: 1.44 / Max: 1.45Min: 0.7 / Avg: 0.7 / Max: 0.71Min: 0.65 / Avg: 0.65 / Max: 0.65Min: 0.52 / Avg: 0.52 / Max: 0.53Min: 0.45 / Avg: 0.45 / Max: 0.45Min: 0.4 / Avg: 0.4 / Max: 0.4Min: 0.37 / Avg: 0.37 / Max: 0.37Min: 0.4 / Avg: 0.4 / Max: 0.4Min: 0.34 / Avg: 0.34 / Max: 0.34Min: 0.27 / Avg: 0.27 / Max: 0.28Min: 0.27 / Avg: 0.28 / Max: 0.28Min: 0.24 / Avg: 0.24 / Max: 0.24Min: 0.24 / Avg: 0.24 / Max: 0.24Min: 1.08 / Avg: 1.08 / Max: 1.09Min: 0.56 / Avg: 0.56 / Max: 0.56Min: 0.41 / Avg: 0.42 / Max: 0.42Min: 0.63 / Avg: 0.64 / Max: 0.64Min: 1.09 / Avg: 1.12 / Max: 1.14Min: 0.62 / Avg: 0.62 / Max: 0.63Min: 0.5 / Avg: 0.51 / Max: 0.521. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

Tungsten Renderer

Tungsten is a C++ physically based renderer that makes use of Intel's Embree ray tracing library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Non-ExponentialEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R48121620SE +/- 0.02292, N = 3SE +/- 0.07563, N = 3SE +/- 0.04114, N = 3SE +/- 0.08801, N = 3SE +/- 0.19470, N = 15SE +/- 0.02491, N = 3SE +/- 0.05097, N = 3SE +/- 0.01224, N = 3SE +/- 0.02211, N = 3SE +/- 0.00797, N = 3SE +/- 0.00856, N = 3SE +/- 0.02153, N = 3SE +/- 0.02803, N = 3SE +/- 0.07675, N = 3SE +/- 0.06206, N = 3SE +/- 0.07025, N = 3SE +/- 0.06293, N = 3SE +/- 0.05972, N = 3SE +/- 0.21774, N = 15SE +/- 0.18217, N = 1214.667507.694418.324946.229125.442094.745134.476934.768074.467223.304553.301932.460682.5502614.133507.846415.785188.0794812.293908.426627.536051. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512pf -mno-avx512er -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Non-ExponentialEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R48121620Min: 14.62 / Avg: 14.67 / Max: 14.69Min: 7.58 / Avg: 7.69 / Max: 7.84Min: 8.25 / Avg: 8.32 / Max: 8.4Min: 6.06 / Avg: 6.23 / Max: 6.36Min: 4.39 / Avg: 5.44 / Max: 6.04Min: 4.71 / Avg: 4.75 / Max: 4.79Min: 4.38 / Avg: 4.48 / Max: 4.56Min: 4.75 / Avg: 4.77 / Max: 4.79Min: 4.43 / Avg: 4.47 / Max: 4.51Min: 3.29 / Avg: 3.3 / Max: 3.32Min: 3.29 / Avg: 3.3 / Max: 3.32Min: 2.42 / Avg: 2.46 / Max: 2.48Min: 2.5 / Avg: 2.55 / Max: 2.6Min: 13.98 / Avg: 14.13 / Max: 14.24Min: 7.74 / Avg: 7.85 / Max: 7.96Min: 5.65 / Avg: 5.79 / Max: 5.87Min: 8 / Avg: 8.08 / Max: 8.2Min: 12.2 / Avg: 12.29 / Max: 12.41Min: 7.7 / Avg: 8.43 / Max: 11.01Min: 6.92 / Avg: 7.54 / Max: 8.891. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512pf -mno-avx512er -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl

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: NASA Streamlines - Renderer: SciVisEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R20406080100SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.00, N = 3SE +/- 0.00, N = 12SE +/- 0.72, N = 5SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.10, N = 3SE +/- 0.00, N = 12SE +/- 0.00, N = 3SE +/- 0.00, N = 12SE +/- 0.06, N = 3SE +/- 0.00, N = 12SE +/- 0.00, N = 1214.0827.0329.4135.7141.6745.4550.0047.6253.8066.6766.6776.9276.9217.1433.3345.4518.1812.9323.2629.41
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: SciVisEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1530456075Min: 14.08 / Avg: 14.08 / Max: 14.08Min: 27.03 / Avg: 27.03 / Max: 27.03Min: 29.41 / Avg: 29.41 / Max: 29.41Min: 35.71 / Avg: 35.71 / Max: 35.71Min: 41.67 / Avg: 41.67 / Max: 41.67Min: 45.45 / Avg: 45.45 / Max: 45.45Min: 47.62 / Avg: 47.62 / Max: 47.62Min: 52.63 / Avg: 53.8 / Max: 55.56Min: 66.67 / Avg: 66.67 / Max: 66.67Min: 66.67 / Avg: 66.67 / Max: 66.67Min: 76.92 / Avg: 76.92 / Max: 76.92Min: 76.92 / Avg: 76.92 / Max: 76.92Min: 16.95 / Avg: 17.14 / Max: 17.24Min: 33.33 / Avg: 33.33 / Max: 33.33Min: 45.45 / Avg: 45.45 / Max: 45.45Min: 18.18 / Avg: 18.18 / Max: 18.18Min: 12.82 / Avg: 12.93 / Max: 12.99Min: 23.26 / Avg: 23.26 / Max: 23.26Min: 29.41 / Avg: 29.41 / Max: 29.41

OpenVINO

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 6226R3691215SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 31.532.993.063.984.575.215.685.506.077.377.689.068.271.993.885.262.235.041. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 6226R3691215Min: 1.53 / Avg: 1.53 / Max: 1.54Min: 2.98 / Avg: 2.99 / Max: 3Min: 3.05 / Avg: 3.06 / Max: 3.07Min: 3.97 / Avg: 3.98 / Max: 3.99Min: 4.55 / Avg: 4.57 / Max: 4.58Min: 5.2 / Avg: 5.21 / Max: 5.22Min: 5.67 / Avg: 5.68 / Max: 5.69Min: 5.49 / Avg: 5.5 / Max: 5.51Min: 5.97 / Avg: 6.07 / Max: 6.14Min: 7.35 / Avg: 7.37 / Max: 7.39Min: 7.65 / Avg: 7.68 / Max: 7.73Min: 9.02 / Avg: 9.06 / Max: 9.09Min: 8.26 / Avg: 8.27 / Max: 8.28Min: 1.99 / Avg: 1.99 / Max: 2Min: 3.87 / Avg: 3.88 / Max: 3.88Min: 5.25 / Avg: 5.26 / Max: 5.26Min: 2.22 / Avg: 2.23 / Max: 2.24Min: 5.02 / Avg: 5.04 / Max: 5.061. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 6226R3691215SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.542.983.063.994.575.205.705.506.097.367.679.088.242.013.885.252.225.051. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 6226R3691215Min: 1.52 / Avg: 1.54 / Max: 1.55Min: 2.97 / Avg: 2.98 / Max: 2.98Min: 3.05 / Avg: 3.06 / Max: 3.08Min: 3.98 / Avg: 3.99 / Max: 4.01Min: 4.56 / Avg: 4.57 / Max: 4.58Min: 5.2 / Avg: 5.2 / Max: 5.21Min: 5.67 / Avg: 5.7 / Max: 5.72Min: 5.49 / Avg: 5.5 / Max: 5.52Min: 6 / Avg: 6.09 / Max: 6.14Min: 7.35 / Avg: 7.36 / Max: 7.36Min: 7.61 / Avg: 7.67 / Max: 7.7Min: 9.05 / Avg: 9.08 / Max: 9.1Min: 8.21 / Avg: 8.24 / Max: 8.26Min: 2 / Avg: 2.01 / Max: 2.02Min: 3.85 / Avg: 3.88 / Max: 3.91Min: 5.23 / Avg: 5.25 / Max: 5.27Min: 2.21 / Avg: 2.22 / Max: 2.22Min: 5.04 / Avg: 5.05 / Max: 5.051. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

Facebook RocksDB

This is a benchmark of Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Read While WritingEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R2M4M6M8M10MSE +/- 9486.66, N = 3SE +/- 45029.31, N = 3SE +/- 10558.02, N = 3SE +/- 24151.11, N = 3SE +/- 16048.71, N = 3SE +/- 26369.03, N = 3SE +/- 5897.86, N = 3SE +/- 54967.27, N = 3SE +/- 29761.67, N = 3SE +/- 60894.61, N = 3SE +/- 29508.17, N = 3SE +/- 22170.26, N = 3SE +/- 35636.88, N = 3SE +/- 18877.88, N = 3SE +/- 16794.20, N = 3SE +/- 11731.10, N = 3SE +/- 38116.13, N = 3SE +/- 14171.24, N = 3SE +/- 10276.91, N = 3SE +/- 38271.59, N = 6134949228788902856386387150142692105078250519546949998065472534694980966707007904493786038515188662919905427065529998671661128310875833267031. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Read While WritingEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1.4M2.8M4.2M5.6M7MMin: 1336295 / Avg: 1349492 / Max: 1367896Min: 2816724 / Avg: 2878890 / Max: 2966404Min: 2838430 / Avg: 2856386 / Max: 2874987Min: 3834057 / Avg: 3871500.67 / Max: 3916648Min: 4237623 / Avg: 4269210 / Max: 4289941Min: 5049962 / Avg: 5078249.67 / Max: 5130940Min: 5184385 / Avg: 5195468.67 / Max: 5204506Min: 4910935 / Avg: 4999805.67 / Max: 5100283Min: 5416475 / Avg: 5472534 / Max: 5517893Min: 6888150 / Avg: 6949809 / Max: 7071595Min: 6631953 / Avg: 6670700.33 / Max: 6728625Min: 7865169 / Avg: 7904493 / Max: 7941897Min: 7823749 / Avg: 7860384.67 / Max: 7931649Min: 1490063 / Avg: 1518866.33 / Max: 1554408Min: 2901038 / Avg: 2919904.67 / Max: 2953404Min: 4247235 / Avg: 4270655 / Max: 4283583Min: 2949138 / Avg: 2999867.33 / Max: 3074511Min: 1632786 / Avg: 1661128 / Max: 1675442Min: 3093816 / Avg: 3108758.33 / Max: 3128452Min: 3260130 / Avg: 3326702.83 / Max: 35024881. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

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: Magnetic Reconnection - Renderer: SciVisEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R918273645SE +/- 0.000, N = 15SE +/- 0.062, N = 3SE +/- 0.000, N = 12SE +/- 0.112, N = 3SE +/- 0.000, N = 12SE +/- 0.000, N = 12SE +/- 0.000, N = 15SE +/- 0.194, N = 3SE +/- 0.000, N = 12SE +/- 0.000, N = 12SE +/- 0.000, N = 12SE +/- 0.009, N = 7SE +/- 0.000, N = 3SE +/- 0.000, N = 15SE +/- 0.000, N = 12SE +/- 0.017, N = 11SE +/- 0.000, N = 126.90013.58014.08018.41020.83023.81025.64024.20027.03034.48034.48040.00040.0008.06015.62522.22017.54012.02021.74025.000
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: SciVisEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R816243240Min: 6.9 / Avg: 6.9 / Max: 6.9Min: 13.51 / Avg: 13.58 / Max: 13.7Min: 14.08 / Avg: 14.08 / Max: 14.08Min: 18.18 / Avg: 18.41 / Max: 18.52Min: 20.83 / Avg: 20.83 / Max: 20.83Min: 23.81 / Avg: 23.81 / Max: 23.81Min: 25.64 / Avg: 25.64 / Max: 25.64Min: 23.81 / Avg: 24.2 / Max: 24.39Min: 27.03 / Avg: 27.03 / Max: 27.03Min: 34.48 / Avg: 34.48 / Max: 34.48Min: 34.48 / Avg: 34.48 / Max: 34.48Min: 8 / Avg: 8.06 / Max: 8.06Min: 15.63 / Avg: 15.63 / Max: 15.63Min: 22.22 / Avg: 22.22 / Max: 22.22Min: 17.54 / Avg: 17.54 / Max: 17.54Min: 11.9 / Avg: 12.02 / Max: 12.05Min: 21.74 / Avg: 21.74 / Max: 21.74

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1020304050SE +/- 0.13360, N = 3SE +/- 0.23271, N = 9SE +/- 0.03513, N = 3SE +/- 0.07568, N = 3SE +/- 0.11379, N = 3SE +/- 0.25543, N = 3SE +/- 0.04079, N = 3SE +/- 0.07871, N = 3SE +/- 0.13264, N = 3SE +/- 0.15573, N = 3SE +/- 0.04239, N = 3SE +/- 0.02716, N = 3SE +/- 0.09086, N = 3SE +/- 0.17929, N = 3SE +/- 0.00785, N = 3SE +/- 0.03117, N = 3SE +/- 0.03770, N = 3SE +/- 0.01353, N = 3SE +/- 0.00804, N = 3SE +/- 0.00268, N = 344.1760024.0618021.7330019.1010016.3855015.5341012.9955013.4440013.2956011.6820010.4918011.2705012.1952037.2618018.3839013.2743015.0877019.6239011.452307.653271. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R918273645Min: 44.03 / Avg: 44.18 / Max: 44.44Min: 23.34 / Avg: 24.06 / Max: 25.71Min: 21.66 / Avg: 21.73 / Max: 21.78Min: 19.01 / Avg: 19.1 / Max: 19.25Min: 16.18 / Avg: 16.39 / Max: 16.58Min: 15.06 / Avg: 15.53 / Max: 15.94Min: 12.92 / Avg: 13 / Max: 13.06Min: 13.3 / Avg: 13.44 / Max: 13.57Min: 13.11 / Avg: 13.3 / Max: 13.55Min: 11.37 / Avg: 11.68 / Max: 11.86Min: 10.41 / Avg: 10.49 / Max: 10.54Min: 11.23 / Avg: 11.27 / Max: 11.32Min: 12.02 / Avg: 12.2 / Max: 12.33Min: 37.07 / Avg: 37.26 / Max: 37.62Min: 18.37 / Avg: 18.38 / Max: 18.39Min: 13.22 / Avg: 13.27 / Max: 13.33Min: 15.01 / Avg: 15.09 / Max: 15.13Min: 19.6 / Avg: 19.62 / Max: 19.65Min: 11.44 / Avg: 11.45 / Max: 11.46Min: 7.65 / Avg: 7.65 / Max: 7.661. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: SharpenEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R120240360480600SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 399192201255292328358345379464474548529119235318148951531931. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: SharpenEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R100200300400500Min: 464 / Avg: 464.33 / Max: 465Min: 317 / Avg: 318 / Max: 319Min: 147 / Avg: 148 / Max: 149Min: 153 / Avg: 153.33 / Max: 154Min: 192 / Avg: 193 / Max: 1941. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

Blender

Blender is an open-source 3D creation software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL or CUDA is supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: CPU-OnlyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R2004006008001000SE +/- 1.18, N = 3SE +/- 0.31, N = 3SE +/- 0.21, N = 3SE +/- 0.08, N = 3SE +/- 0.35, N = 3SE +/- 0.55, N = 3SE +/- 0.30, N = 3SE +/- 0.15, N = 3SE +/- 0.42, N = 3SE +/- 0.44, N = 3SE +/- 0.42, N = 3SE +/- 0.29, N = 3SE +/- 0.28, N = 3SE +/- 0.23, N = 3SE +/- 0.39, N = 3SE +/- 0.63, N = 3SE +/- 0.43, N = 3SE +/- 0.48, N = 3SE +/- 0.99, N = 3SE +/- 0.22, N = 3949.06474.46441.88355.45308.59271.92251.80261.47237.28190.72191.75165.16165.38740.99382.66289.07596.88934.84594.98466.87
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: CPU-OnlyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R170340510680850Min: 947.29 / Avg: 949.06 / Max: 951.3Min: 473.99 / Avg: 474.46 / Max: 475.04Min: 441.47 / Avg: 441.88 / Max: 442.18Min: 355.37 / Avg: 355.45 / Max: 355.61Min: 307.98 / Avg: 308.59 / Max: 309.18Min: 270.81 / Avg: 271.92 / Max: 272.54Min: 251.25 / Avg: 251.8 / Max: 252.27Min: 261.18 / Avg: 261.47 / Max: 261.64Min: 236.49 / Avg: 237.28 / Max: 237.91Min: 190.15 / Avg: 190.72 / Max: 191.59Min: 191.15 / Avg: 191.75 / Max: 192.56Min: 164.79 / Avg: 165.16 / Max: 165.74Min: 164.83 / Avg: 165.38 / Max: 165.73Min: 740.6 / Avg: 740.99 / Max: 741.39Min: 381.89 / Avg: 382.66 / Max: 383.15Min: 287.84 / Avg: 289.07 / Max: 289.95Min: 596.09 / Avg: 596.88 / Max: 597.55Min: 934.32 / Avg: 934.84 / Max: 935.8Min: 593.17 / Avg: 594.98 / Max: 596.57Min: 466.42 / Avg: 466.87 / Max: 467.11

Chaos Group V-RAY

This is a test of Chaos Group's V-RAY benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgKsamples, More Is BetterChaos Group V-RAY 4.10.07Mode: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R13K26K39K52K65KSE +/- 33.59, N = 3SE +/- 45.83, N = 3SE +/- 78.28, N = 3SE +/- 246.39, N = 3SE +/- 327.00, N = 3SE +/- 300.18, N = 3SE +/- 400.69, N = 3SE +/- 598.50, N = 3SE +/- 463.85, N = 3SE +/- 163.42, N = 3SE +/- 184.21, N = 3SE +/- 185.27, N = 3SE +/- 257.77, N = 3SE +/- 80.57, N = 3SE +/- 51.15, N = 3SE +/- 115.54, N = 3SE +/- 97.28, N = 3SE +/- 22.17, N = 3SE +/- 111.97, N = 3SE +/- 142.52, N = 31031320890219132781432046335533629734775386425141750184590165788913123255423424717048105751707021428
OpenBenchmarking.orgKsamples, More Is BetterChaos Group V-RAY 4.10.07Mode: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R10K20K30K40K50KMin: 10258 / Avg: 10313.33 / Max: 10374Min: 20818 / Avg: 20889.67 / Max: 20975Min: 21758 / Avg: 21913.33 / Max: 22008Min: 27433 / Avg: 27813.67 / Max: 28275Min: 31560 / Avg: 32046 / Max: 32668Min: 32978 / Avg: 33553 / Max: 33990Min: 35508 / Avg: 36297 / Max: 36813Min: 33578 / Avg: 34775 / Max: 35376Min: 37769 / Avg: 38642.33 / Max: 39350Min: 51109 / Avg: 51416.67 / Max: 51666Min: 49929 / Avg: 50184.33 / Max: 50542Min: 58749 / Avg: 59016 / Max: 59372Min: 57376 / Avg: 57888.67 / Max: 58192Min: 12994 / Avg: 13122.67 / Max: 13271Min: 25445 / Avg: 25541.67 / Max: 25619Min: 34016 / Avg: 34246.67 / Max: 34374Min: 16865 / Avg: 17047.67 / Max: 17197Min: 10531 / Avg: 10575.33 / Max: 10598Min: 16849 / Avg: 17069.67 / Max: 17213Min: 21143 / Avg: 21428 / Max: 21575

John The Ripper

This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R900K1800K2700K3600K4500KSE +/- 1479.80, N = 3SE +/- 4630.81, N = 3SE +/- 4630.81, N = 3SE +/- 2645.75, N = 3SE +/- 5811.87, N = 3SE +/- 6437.74, N = 3SE +/- 9504.38, N = 3SE +/- 7218.80, N = 3SE +/- 17776.39, N = 3SE +/- 3055.05, N = 3SE +/- 12490.00, N = 3SE +/- 10503.97, N = 3SE +/- 5929.17, N = 3SE +/- 2403.70, N = 3SE +/- 3179.80, N = 3SE +/- 4041.45, N = 3SE +/- 8082.90, N = 3SE +/- 2027.59, N = 3SE +/- 4409.59, N = 37205711356000145466717093332121000236166725796672510000277933335110003528000411600037230008066561700333231133319260001253000191766725866671. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2
OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R700K1400K2100K2800K3500KMin: 717619 / Avg: 720571.33 / Max: 722227Min: 1447000 / Avg: 1454666.67 / Max: 1463000Min: 1701000 / Avg: 1709333.33 / Max: 1717000Min: 2116000 / Avg: 2121000 / Max: 2125000Min: 2351000 / Avg: 2361666.67 / Max: 2371000Min: 2567000 / Avg: 2579666.67 / Max: 2588000Min: 2500000 / Avg: 2510000 / Max: 2529000Min: 2765000 / Avg: 2779333.33 / Max: 2788000Min: 3485000 / Avg: 3511000 / Max: 3545000Min: 3522000 / Avg: 3528000 / Max: 3532000Min: 4098000 / Avg: 4116000 / Max: 4140000Min: 3702000 / Avg: 3723000 / Max: 3734000Min: 795187 / Avg: 806655.67 / Max: 815001Min: 1697000 / Avg: 1700333.33 / Max: 1705000Min: 2306000 / Avg: 2311333.33 / Max: 2317000Min: 1918000 / Avg: 1926000 / Max: 1931000Min: 1237000 / Avg: 1253000 / Max: 1263000Min: 1914000 / Avg: 1917666.67 / Max: 1921000Min: 2580000 / Avg: 2586666.67 / Max: 25950001. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2

Facebook RocksDB

This is a benchmark of Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random ReadEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R40M80M120M160M200MSE +/- 227455.75, N = 3SE +/- 781709.19, N = 5SE +/- 134953.06, N = 3SE +/- 733157.90, N = 15SE +/- 860434.27, N = 15SE +/- 1122561.19, N = 15SE +/- 1040006.53, N = 15SE +/- 358368.47, N = 3SE +/- 526030.10, N = 3SE +/- 1559101.58, N = 15SE +/- 2240110.26, N = 5SE +/- 2049696.22, N = 15SE +/- 1899653.41, N = 15SE +/- 621658.12, N = 3SE +/- 1093756.73, N = 4SE +/- 214890.39, N = 3SE +/- 23504.85, N = 3SE +/- 83715.37, N = 3SE +/- 206257.19, N = 3SE +/- 473353.50, N = 333751178632307246886748484742534983078161086519651209227661192862921337512451630003551671509461922102311927250134065863380061560118182176621814273952967964757695778389351. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random ReadEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R30M60M90M120M150MMin: 33435197 / Avg: 33751178.33 / Max: 34192586Min: 60131659 / Avg: 63230724 / Max: 64253059Min: 68715282 / Avg: 68867484 / Max: 69136621Min: 80711238 / Avg: 84742534.27 / Max: 87776559Min: 93719478 / Avg: 98307816.2 / Max: 102407832Min: 103874336 / Avg: 108651964.8 / Max: 114145821Min: 113942640 / Avg: 120922766.13 / Max: 124587119Min: 118570199 / Avg: 119286292.33 / Max: 119670638Min: 132715309 / Avg: 133751244.67 / Max: 134428118Min: 155397851 / Avg: 163000355.4 / Max: 170264486Min: 158235179 / Avg: 167150946.2 / Max: 170160556Min: 183285104 / Avg: 192210230.73 / Max: 202087778Min: 184745570 / Avg: 192725013.2 / Max: 201658187Min: 39547827 / Avg: 40658633.33 / Max: 41697729Min: 77755597 / Avg: 80061560.25 / Max: 82403261Min: 117754545 / Avg: 118182175.67 / Max: 118433175Min: 62148092 / Avg: 62181426.67 / Max: 62226800Min: 39436283 / Avg: 39529679 / Max: 39696721Min: 64348038 / Avg: 64757695.33 / Max: 65004497Min: 77137238 / Avg: 77838935 / Max: 787401531. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

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: SciVisEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1326395265SE +/- 0.00, N = 12SE +/- 0.13, N = 3SE +/- 0.15, N = 3SE +/- 0.00, N = 12SE +/- 0.00, N = 15SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.00, N = 15SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.02, N = 10SE +/- 0.03, N = 4SE +/- 0.00, N = 12SE +/- 0.06, N = 810.3119.4821.1326.3230.3033.3337.0435.7140.0050.0050.0058.8255.5612.2024.3933.3314.6810.7218.8722.66
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: SciVisEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1224364860Min: 10.31 / Avg: 10.31 / Max: 10.31Min: 19.23 / Avg: 19.48 / Max: 19.61Min: 20.83 / Avg: 21.13 / Max: 21.28Min: 26.32 / Avg: 26.32 / Max: 26.32Min: 30.3 / Avg: 30.3 / Max: 30.3Min: 33.33 / Avg: 33.33 / Max: 33.33Min: 37.04 / Avg: 37.04 / Max: 37.04Min: 35.71 / Avg: 35.71 / Max: 35.71Min: 58.82 / Avg: 58.82 / Max: 58.82Min: 55.56 / Avg: 55.56 / Max: 55.56Min: 12.2 / Avg: 12.2 / Max: 12.2Min: 24.39 / Avg: 24.39 / Max: 24.39Min: 33.33 / Avg: 33.33 / Max: 33.33Min: 14.49 / Avg: 14.68 / Max: 14.71Min: 10.64 / Avg: 10.72 / Max: 10.75Min: 18.87 / Avg: 18.87 / Max: 18.87Min: 22.22 / Avg: 22.66 / Max: 22.73

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian DragonEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1224364860SE +/- 0.0813, N = 3SE +/- 0.0341, N = 3SE +/- 0.1895, N = 3SE +/- 0.2541, N = 3SE +/- 0.2494, N = 3SE +/- 0.0606, N = 3SE +/- 0.2760, N = 3SE +/- 0.1971, N = 3SE +/- 0.2618, N = 3SE +/- 0.4040, N = 3SE +/- 0.3010, N = 3SE +/- 0.3470, N = 3SE +/- 0.0882, N = 3SE +/- 0.0285, N = 3SE +/- 0.1347, N = 3SE +/- 0.1842, N = 3SE +/- 0.0721, N = 3SE +/- 0.0396, N = 3SE +/- 0.0351, N = 3SE +/- 0.0692, N = 39.335118.682619.286525.337428.498033.003435.682633.376037.594746.963747.450953.220452.806010.574621.013130.136515.36009.365615.309119.2970
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian DragonEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1122334455Min: 9.19 / Avg: 9.34 / Max: 9.48Min: 18.62 / Avg: 18.68 / Max: 18.73Min: 19.05 / Avg: 19.29 / Max: 19.66Min: 25.05 / Avg: 25.34 / Max: 25.84Min: 28.2 / Avg: 28.5 / Max: 28.99Min: 32.88 / Avg: 33 / Max: 33.08Min: 35.13 / Avg: 35.68 / Max: 36Min: 33.1 / Avg: 33.38 / Max: 33.76Min: 37.26 / Avg: 37.59 / Max: 38.11Min: 46.17 / Avg: 46.96 / Max: 47.48Min: 47.13 / Avg: 47.45 / Max: 48.05Min: 52.55 / Avg: 53.22 / Max: 53.72Min: 52.67 / Avg: 52.81 / Max: 52.97Min: 10.52 / Avg: 10.57 / Max: 10.61Min: 20.82 / Avg: 21.01 / Max: 21.27Min: 29.94 / Avg: 30.14 / Max: 30.5Min: 15.27 / Avg: 15.36 / Max: 15.5Min: 9.29 / Avg: 9.37 / Max: 9.42Min: 15.24 / Avg: 15.31 / Max: 15.35Min: 19.17 / Avg: 19.3 / Max: 19.41

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: SwirlEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R400800120016002000SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 1.00, N = 3SE +/- 1.53, N = 3SE +/- 1.20, N = 3SE +/- 1.86, N = 3SE +/- 1.20, N = 3SE +/- 0.33, N = 3SE +/- 1.33, N = 3SE +/- 2.65, N = 3SE +/- 2.03, N = 3SE +/- 1.76, N = 3SE +/- 1.00, N = 3SE +/- 2.08, N = 3SE +/- 4.58, N = 3SE +/- 3.67, N = 339172479690910241127126811651246144215251666162248089811294522944725741. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: SwirlEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R30060090012001500Min: 390 / Avg: 391 / Max: 392Min: 723 / Avg: 723.67 / Max: 724Min: 794 / Avg: 796 / Max: 797Min: 906 / Avg: 909 / Max: 911Min: 1022 / Avg: 1024.33 / Max: 1026Min: 1264 / Avg: 1267.67 / Max: 1270Min: 1163 / Avg: 1164.67 / Max: 1167Min: 1246 / Avg: 1246.33 / Max: 1247Min: 1441 / Avg: 1442.33 / Max: 1445Min: 1520 / Avg: 1525 / Max: 1529Min: 1662 / Avg: 1665.67 / Max: 1669Min: 1619 / Avg: 1621.67 / Max: 1625Min: 478 / Avg: 480 / Max: 481Min: 894 / Avg: 898 / Max: 901Min: 1123 / Avg: 1129 / Max: 1138Min: 570 / Avg: 573.67 / Max: 5811. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Matrix MathEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R40K80K120K160K200KSE +/- 39.70, N = 3SE +/- 66.43, N = 3SE +/- 159.97, N = 3SE +/- 200.02, N = 3SE +/- 155.82, N = 3SE +/- 135.20, N = 3SE +/- 1080.49, N = 3SE +/- 392.03, N = 3SE +/- 535.34, N = 3SE +/- 811.81, N = 3SE +/- 471.06, N = 3SE +/- 261.22, N = 3SE +/- 430.58, N = 3SE +/- 88.23, N = 3SE +/- 311.46, N = 3SE +/- 205.68, N = 3SE +/- 407.92, N = 3SE +/- 101.65, N = 3SE +/- 227.63, N = 3SE +/- 113.29, N = 331460.7558509.2963181.9979169.2691534.93101602.76110937.29108030.59120546.41149827.50151931.12177538.11178073.1438372.4075406.32101096.1560174.2738502.0761258.7770157.191. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Matrix MathEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R30K60K90K120K150KMin: 31408.37 / Avg: 31460.75 / Max: 31538.63Min: 58381.23 / Avg: 58509.29 / Max: 58603.95Min: 62930.24 / Avg: 63181.99 / Max: 63478.86Min: 78895.81 / Avg: 79169.26 / Max: 79558.86Min: 91331.78 / Avg: 91534.93 / Max: 91841.16Min: 101390.5 / Avg: 101602.76 / Max: 101853.95Min: 109225.78 / Avg: 110937.29 / Max: 112935.61Min: 107251.11 / Avg: 108030.59 / Max: 108493.62Min: 119657.67 / Avg: 120546.41 / Max: 121507.85Min: 148869.56 / Avg: 149827.5 / Max: 151441.76Min: 151052.76 / Avg: 151931.12 / Max: 152665.37Min: 177029.44 / Avg: 177538.11 / Max: 177895.63Min: 177510.03 / Avg: 178073.14 / Max: 178918.95Min: 38216.05 / Avg: 38372.4 / Max: 38521.42Min: 75087.8 / Avg: 75406.32 / Max: 76029.19Min: 100694.73 / Avg: 101096.15 / Max: 101374.73Min: 59598.32 / Avg: 60174.27 / Max: 60962.65Min: 38299.14 / Avg: 38502.07 / Max: 38614.22Min: 60899.84 / Avg: 61258.77 / Max: 61680.77Min: 69943.03 / Avg: 70157.19 / Max: 70328.341. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: EnhancedEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R2004006008001000SE +/- 0.33, N = 3SE +/- 0.88, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 0.88, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 31653153324154715325825546017327568648201963845132381532473091. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: EnhancedEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R150300450600750Min: 415 / Avg: 415.33 / Max: 416Min: 530 / Avg: 531.67 / Max: 533Min: 554 / Avg: 554.33 / Max: 555Min: 755 / Avg: 756 / Max: 757Min: 862 / Avg: 863.67 / Max: 865Min: 819 / Avg: 820 / Max: 821Min: 196 / Avg: 196.33 / Max: 197Min: 512 / Avg: 513 / Max: 514Min: 237 / Avg: 237.67 / Max: 238Min: 309 / Avg: 309.33 / Max: 3101. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian DragonEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1224364860SE +/- 0.0263, N = 3SE +/- 0.0207, N = 3SE +/- 0.0257, N = 3SE +/- 0.1182, N = 3SE +/- 0.2726, N = 3SE +/- 0.2284, N = 3SE +/- 0.1490, N = 3SE +/- 0.3156, N = 3SE +/- 0.2017, N = 3SE +/- 0.3207, N = 3SE +/- 0.0717, N = 3SE +/- 0.0362, N = 3SE +/- 0.0763, N = 3SE +/- 0.0158, N = 3SE +/- 0.2322, N = 3SE +/- 0.2780, N = 3SE +/- 0.0815, N = 3SE +/- 0.0511, N = 3SE +/- 0.1314, N = 3SE +/- 0.1772, N = 39.230618.492519.138625.262328.777733.200735.048033.712736.998146.839647.434952.122951.642510.506821.389830.083915.925310.758919.960922.4801
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian DragonEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1020304050Min: 9.18 / Avg: 9.23 / Max: 9.26Min: 18.47 / Avg: 18.49 / Max: 18.53Min: 19.1 / Avg: 19.14 / Max: 19.19Min: 25.06 / Avg: 25.26 / Max: 25.47Min: 28.23 / Avg: 28.78 / Max: 29.09Min: 32.78 / Avg: 33.2 / Max: 33.56Min: 34.78 / Avg: 35.05 / Max: 35.3Min: 33.09 / Avg: 33.71 / Max: 34.1Min: 36.6 / Avg: 37 / Max: 37.24Min: 46.3 / Avg: 46.84 / Max: 47.41Min: 47.31 / Avg: 47.43 / Max: 47.56Min: 52.07 / Avg: 52.12 / Max: 52.19Min: 51.55 / Avg: 51.64 / Max: 51.79Min: 10.48 / Avg: 10.51 / Max: 10.53Min: 20.93 / Avg: 21.39 / Max: 21.64Min: 29.72 / Avg: 30.08 / Max: 30.63Min: 15.76 / Avg: 15.93 / Max: 16.02Min: 10.69 / Avg: 10.76 / Max: 10.86Min: 19.79 / Avg: 19.96 / Max: 20.22Min: 22.3 / Avg: 22.48 / Max: 22.83

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 AtomsEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R0.61471.22941.84412.45883.0735SE +/- 0.00153, N = 3SE +/- 0.00131, N = 3SE +/- 0.00046, N = 3SE +/- 0.00570, N = 3SE +/- 0.00035, N = 3SE +/- 0.00089, N = 3SE +/- 0.00056, N = 3SE +/- 0.00083, N = 3SE +/- 0.00075, N = 3SE +/- 0.00009, N = 3SE +/- 0.00057, N = 3SE +/- 0.00064, N = 3SE +/- 0.00359, N = 3SE +/- 0.01056, N = 3SE +/- 0.00329, N = 3SE +/- 0.00081, N = 3SE +/- 0.00811, N = 3SE +/- 0.00248, N = 3SE +/- 0.00350, N = 3SE +/- 0.00374, N = 32.731861.472051.349921.150920.937860.852550.775950.790520.716770.576450.571680.490440.518922.300721.154250.857711.528792.343431.519391.15942
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R246810Min: 2.73 / Avg: 2.73 / Max: 2.73Min: 1.47 / Avg: 1.47 / Max: 1.47Min: 1.35 / Avg: 1.35 / Max: 1.35Min: 1.14 / Avg: 1.15 / Max: 1.16Min: 0.94 / Avg: 0.94 / Max: 0.94Min: 0.85 / Avg: 0.85 / Max: 0.85Min: 0.77 / Avg: 0.78 / Max: 0.78Min: 0.79 / Avg: 0.79 / Max: 0.79Min: 0.72 / Avg: 0.72 / Max: 0.72Min: 0.58 / Avg: 0.58 / Max: 0.58Min: 0.57 / Avg: 0.57 / Max: 0.57Min: 0.49 / Avg: 0.49 / Max: 0.49Min: 0.51 / Avg: 0.52 / Max: 0.53Min: 2.28 / Avg: 2.3 / Max: 2.32Min: 1.15 / Avg: 1.15 / Max: 1.16Min: 0.86 / Avg: 0.86 / Max: 0.86Min: 1.52 / Avg: 1.53 / Max: 1.55Min: 2.34 / Avg: 2.34 / Max: 2.35Min: 1.52 / Avg: 1.52 / Max: 1.53Min: 1.15 / Avg: 1.16 / Max: 1.17

POV-Ray

This is a test of POV-Ray, the Persistence of Vision Raytracer. POV-Ray is used to create 3D graphics using ray-tracing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPOV-Ray 3.7.0.7Trace TimeEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1530456075SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.14, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.11, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.67, N = 4SE +/- 0.10, N = 3SE +/- 0.67, N = 3SE +/- 0.30, N = 1160.3733.0331.0525.3522.1419.9118.4419.0917.0414.1914.1112.2112.2650.0326.2719.8945.7867.6146.3634.421. (CXX) g++ options: -pipe -O3 -ffast-math -march=native -pthread -lSDL -lSM -lICE -lX11 -lIlmImf -lImath-2_5 -lHalf-2_5 -lIex-2_5 -lIexMath-2_5 -lIlmThread-2_5 -lIlmThread -ltiff -ljpeg -lpng -lz -lrt -lm -lboost_thread -lboost_system
OpenBenchmarking.orgSeconds, Fewer Is BetterPOV-Ray 3.7.0.7Trace TimeEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1326395265Min: 60.21 / Avg: 60.37 / Max: 60.52Min: 32.97 / Avg: 33.03 / Max: 33.13Min: 30.9 / Avg: 31.05 / Max: 31.33Min: 25.21 / Avg: 25.35 / Max: 25.51Min: 22.06 / Avg: 22.14 / Max: 22.21Min: 19.82 / Avg: 19.91 / Max: 20Min: 18.3 / Avg: 18.44 / Max: 18.53Min: 19 / Avg: 19.09 / Max: 19.15Min: 16.94 / Avg: 17.04 / Max: 17.13Min: 14.15 / Avg: 14.19 / Max: 14.22Min: 14.01 / Avg: 14.11 / Max: 14.21Min: 12.18 / Avg: 12.21 / Max: 12.28Min: 12.22 / Avg: 12.26 / Max: 12.29Min: 49.81 / Avg: 50.03 / Max: 50.16Min: 26.18 / Avg: 26.27 / Max: 26.37Min: 19.8 / Avg: 19.89 / Max: 20.07Min: 44.98 / Avg: 45.78 / Max: 47.78Min: 67.42 / Avg: 67.61 / Max: 67.75Min: 45.31 / Avg: 46.36 / Max: 47.6Min: 33.58 / Avg: 34.42 / Max: 36.251. (CXX) g++ options: -pipe -O3 -ffast-math -march=native -pthread -lSDL -lSM -lICE -lX11 -lIlmImf -lImath-2_5 -lHalf-2_5 -lIex-2_5 -lIexMath-2_5 -lIlmThread-2_5 -lIlmThread -ltiff -ljpeg -lpng -lz -lrt -lm -lboost_thread -lboost_system

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: SENDFILEEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R140K280K420K560K700KSE +/- 115.43, N = 3SE +/- 603.89, N = 3SE +/- 275.65, N = 3SE +/- 930.38, N = 3SE +/- 1231.54, N = 3SE +/- 1084.86, N = 3SE +/- 1517.69, N = 3SE +/- 275.01, N = 3SE +/- 793.66, N = 3SE +/- 662.65, N = 3SE +/- 2646.60, N = 3SE +/- 2400.08, N = 3SE +/- 2560.60, N = 3SE +/- 212.03, N = 3SE +/- 1205.14, N = 3SE +/- 2361.40, N = 3SE +/- 241.10, N = 3SE +/- 66.58, N = 3SE +/- 25.16, N = 3SE +/- 1201.34, N = 3116199.55227661.36233355.09295072.85336284.14387824.66414301.15392610.75429545.18537342.45528168.36641928.60637854.00142120.89271798.18375286.56187732.63118401.93195098.58232601.641. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: SENDFILEEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R110K220K330K440K550KMin: 116002.14 / Avg: 116199.55 / Max: 116401.9Min: 226946.22 / Avg: 227661.36 / Max: 228861.82Min: 233029.99 / Avg: 233355.09 / Max: 233903.24Min: 293884.4 / Avg: 295072.85 / Max: 296907.04Min: 334098.38 / Avg: 336284.14 / Max: 338360.35Min: 386429 / Avg: 387824.66 / Max: 389961.2Min: 411702.04 / Avg: 414301.15 / Max: 416958.52Min: 392079.84 / Avg: 392610.75 / Max: 393000.66Min: 428623.54 / Avg: 429545.18 / Max: 431125.21Min: 536191.54 / Avg: 537342.45 / Max: 538486.99Min: 523031.78 / Avg: 528168.36 / Max: 531843.49Min: 637432.56 / Avg: 641928.6 / Max: 645632.79Min: 633035.51 / Avg: 637854 / Max: 641765.47Min: 141814.3 / Avg: 142120.89 / Max: 142527.91Min: 270479.97 / Avg: 271798.18 / Max: 274204.81Min: 371348.45 / Avg: 375286.56 / Max: 379513.3Min: 187291.64 / Avg: 187732.63 / Max: 188122.05Min: 118271.31 / Avg: 118401.93 / Max: 118489.67Min: 195051.05 / Avg: 195098.58 / Max: 195136.67Min: 231015.5 / Avg: 232601.64 / Max: 234957.651. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: 20k AtomsEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R612182430SE +/- 0.015, N = 3SE +/- 0.053, N = 3SE +/- 0.032, N = 3SE +/- 0.055, N = 3SE +/- 0.009, N = 3SE +/- 0.073, N = 3SE +/- 0.038, N = 3SE +/- 0.007, N = 3SE +/- 0.046, N = 3SE +/- 0.054, N = 3SE +/- 0.047, N = 3SE +/- 0.022, N = 3SE +/- 0.164, N = 3SE +/- 0.065, N = 3SE +/- 0.005, N = 3SE +/- 0.028, N = 3SE +/- 0.020, N = 3SE +/- 0.037, N = 3SE +/- 0.028, N = 3SE +/- 0.029, N = 35.2149.44110.43113.04014.70016.07817.30717.34317.94322.00022.29925.00724.1885.53112.24216.0356.6284.5816.7418.4241. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: 20k AtomsEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R612182430Min: 5.18 / Avg: 5.21 / Max: 5.23Min: 9.35 / Avg: 9.44 / Max: 9.54Min: 10.37 / Avg: 10.43 / Max: 10.48Min: 12.93 / Avg: 13.04 / Max: 13.11Min: 14.68 / Avg: 14.7 / Max: 14.72Min: 15.98 / Avg: 16.08 / Max: 16.22Min: 17.26 / Avg: 17.31 / Max: 17.38Min: 17.33 / Avg: 17.34 / Max: 17.36Min: 17.88 / Avg: 17.94 / Max: 18.03Min: 21.93 / Avg: 22 / Max: 22.11Min: 22.22 / Avg: 22.3 / Max: 22.38Min: 24.97 / Avg: 25.01 / Max: 25.05Min: 23.87 / Avg: 24.19 / Max: 24.41Min: 5.43 / Avg: 5.53 / Max: 5.65Min: 12.23 / Avg: 12.24 / Max: 12.25Min: 15.98 / Avg: 16.04 / Max: 16.06Min: 6.59 / Avg: 6.63 / Max: 6.66Min: 4.51 / Avg: 4.58 / Max: 4.64Min: 6.71 / Avg: 6.74 / Max: 6.8Min: 8.37 / Avg: 8.42 / Max: 8.461. (CXX) g++ options: -O3 -pthread -lm

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon ObjEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1122334455SE +/- 0.0184, N = 3SE +/- 0.0122, N = 3SE +/- 0.0059, N = 3SE +/- 0.0170, N = 3SE +/- 0.0311, N = 3SE +/- 0.0391, N = 3SE +/- 0.0461, N = 3SE +/- 0.0478, N = 3SE +/- 0.0968, N = 3SE +/- 0.0752, N = 3SE +/- 0.0268, N = 3SE +/- 0.0648, N = 3SE +/- 0.0908, N = 3SE +/- 0.0029, N = 3SE +/- 0.0439, N = 3SE +/- 0.0707, N = 3SE +/- 0.0085, N = 3SE +/- 0.0206, N = 3SE +/- 0.0247, N = 3SE +/- 0.0287, N = 38.697117.300917.955023.555226.328030.385232.548831.028734.170443.027443.115147.428747.09719.901919.957627.801414.45718.779014.469818.0501
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon ObjEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1020304050Min: 8.67 / Avg: 8.7 / Max: 8.73Min: 17.28 / Avg: 17.3 / Max: 17.32Min: 17.94 / Avg: 17.96 / Max: 17.97Min: 23.53 / Avg: 23.56 / Max: 23.59Min: 26.27 / Avg: 26.33 / Max: 26.38Min: 30.34 / Avg: 30.39 / Max: 30.46Min: 32.49 / Avg: 32.55 / Max: 32.64Min: 30.93 / Avg: 31.03 / Max: 31.09Min: 33.98 / Avg: 34.17 / Max: 34.29Min: 42.88 / Avg: 43.03 / Max: 43.12Min: 43.07 / Avg: 43.12 / Max: 43.16Min: 47.32 / Avg: 47.43 / Max: 47.55Min: 46.92 / Avg: 47.1 / Max: 47.21Min: 9.9 / Avg: 9.9 / Max: 9.91Min: 19.87 / Avg: 19.96 / Max: 20.02Min: 27.66 / Avg: 27.8 / Max: 27.89Min: 14.44 / Avg: 14.46 / Max: 14.47Min: 8.74 / Avg: 8.78 / Max: 8.81Min: 14.43 / Avg: 14.47 / Max: 14.51Min: 18.02 / Avg: 18.05 / Max: 18.11

IndigoBench

This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.0.64Scene: BedroomEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1.24222.48443.72664.96886.211SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.004, N = 3SE +/- 0.001, N = 3SE +/- 0.004, N = 3SE +/- 0.004, N = 3SE +/- 0.003, N = 3SE +/- 0.008, N = 3SE +/- 0.008, N = 3SE +/- 0.007, N = 3SE +/- 0.008, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.005, N = 3SE +/- 0.002, N = 3SE +/- 0.003, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.007, N = 31.0142.1032.1762.8333.2243.6883.9653.7714.2515.2935.1595.5215.4181.2202.4193.3981.7491.0341.8132.084
OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.0.64Scene: BedroomEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R246810Min: 1.01 / Avg: 1.01 / Max: 1.02Min: 2.1 / Avg: 2.1 / Max: 2.11Min: 2.17 / Avg: 2.18 / Max: 2.18Min: 2.83 / Avg: 2.83 / Max: 2.84Min: 3.22 / Avg: 3.22 / Max: 3.23Min: 3.68 / Avg: 3.69 / Max: 3.69Min: 3.96 / Avg: 3.97 / Max: 3.97Min: 3.77 / Avg: 3.77 / Max: 3.78Min: 4.24 / Avg: 4.25 / Max: 4.27Min: 5.29 / Avg: 5.29 / Max: 5.31Min: 5.15 / Avg: 5.16 / Max: 5.17Min: 5.51 / Avg: 5.52 / Max: 5.53Min: 5.42 / Avg: 5.42 / Max: 5.42Min: 1.22 / Avg: 1.22 / Max: 1.22Min: 2.41 / Avg: 2.42 / Max: 2.43Min: 3.4 / Avg: 3.4 / Max: 3.4Min: 1.74 / Avg: 1.75 / Max: 1.76Min: 1.03 / Avg: 1.03 / Max: 1.04Min: 1.81 / Avg: 1.81 / Max: 1.81Min: 2.07 / Avg: 2.08 / Max: 2.1

Blender

Blender is an open-source 3D creation software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL or CUDA is supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CPU-OnlyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R50100150200250SE +/- 1.38, N = 3SE +/- 0.31, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.33, N = 3SE +/- 0.73, N = 3SE +/- 0.39, N = 3SE +/- 0.11, N = 3SE +/- 0.22, N = 3SE +/- 0.33, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.14, N = 3SE +/- 0.21, N = 3SE +/- 0.13, N = 3SE +/- 0.32, N = 3SE +/- 0.40, N = 3SE +/- 0.28, N = 3SE +/- 0.60, N = 3SE +/- 0.09, N = 3214.06114.07107.2284.6673.6069.3362.2964.8158.7747.7748.2742.0241.73165.2588.3568.12147.30225.96146.87113.16
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CPU-OnlyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R4080120160200Min: 212.22 / Avg: 214.06 / Max: 216.75Min: 113.59 / Avg: 114.07 / Max: 114.66Min: 107.13 / Avg: 107.22 / Max: 107.36Min: 84.5 / Avg: 84.66 / Max: 84.76Min: 72.99 / Avg: 73.6 / Max: 74.1Min: 67.94 / Avg: 69.33 / Max: 70.39Min: 61.67 / Avg: 62.29 / Max: 63.01Min: 64.63 / Avg: 64.81 / Max: 65.01Min: 58.35 / Avg: 58.77 / Max: 59.06Min: 47.25 / Avg: 47.77 / Max: 48.37Min: 48.17 / Avg: 48.27 / Max: 48.39Min: 41.96 / Avg: 42.02 / Max: 42.09Min: 41.46 / Avg: 41.73 / Max: 41.91Min: 164.92 / Avg: 165.25 / Max: 165.65Min: 88.14 / Avg: 88.35 / Max: 88.6Min: 67.79 / Avg: 68.12 / Max: 68.76Min: 146.8 / Avg: 147.3 / Max: 148.08Min: 225.4 / Avg: 225.96 / Max: 226.3Min: 146.1 / Avg: 146.87 / Max: 148.05Min: 113.04 / Avg: 113.16 / Max: 113.34

Apache Cassandra

This is a benchmark of the Apache Cassandra NoSQL database management system making use of cassandra-stress. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 3.11.4Test: WritesEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R50K100K150K200K250KSE +/- 135.06, N = 3SE +/- 1109.12, N = 3SE +/- 1172.51, N = 3SE +/- 2165.41, N = 5SE +/- 2252.44, N = 3SE +/- 2362.56, N = 6SE +/- 2680.04, N = 3SE +/- 2557.41, N = 15SE +/- 2505.69, N = 15SE +/- 2783.17, N = 4SE +/- 1820.08, N = 15SE +/- 2053.52, N = 10SE +/- 1719.61, N = 3SE +/- 364.13, N = 3SE +/- 970.11, N = 3SE +/- 1497.72, N = 13SE +/- 1184.33, N = 3SE +/- 229.84, N = 3SE +/- 1362.41, N = 7SE +/- 2414.01, N = 3404451220411120201626811805921993642054571937902111402030811967202184802188544908612726218445512342156192123950144137
OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 3.11.4Test: WritesEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R40K80K120K160K200KMin: 40189 / Avg: 40444.67 / Max: 40648Min: 120158 / Avg: 122041.33 / Max: 123998Min: 109894 / Avg: 112020 / Max: 113940Min: 155800 / Avg: 162680.8 / Max: 166977Min: 176111 / Avg: 180591.67 / Max: 183236Min: 190358 / Avg: 199364 / Max: 208384Min: 202352 / Avg: 205456.67 / Max: 210793Min: 176360 / Avg: 193789.73 / Max: 202817Min: 196521 / Avg: 211139.8 / Max: 221898Min: 198780 / Avg: 203080.5 / Max: 211125Min: 189102 / Avg: 196719.53 / Max: 208592Min: 207486 / Avg: 218480.4 / Max: 225818Min: 215677 / Avg: 218854.33 / Max: 221583Min: 48473 / Avg: 49086 / Max: 49733Min: 126002 / Avg: 127262.33 / Max: 129170Min: 177996 / Avg: 184455 / Max: 191651Min: 121852 / Avg: 123420.67 / Max: 125742Min: 55959 / Avg: 56192.33 / Max: 56652Min: 116199 / Avg: 123949.57 / Max: 127061Min: 141086 / Avg: 144137 / Max: 148903

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian Dragon ObjEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1020304050SE +/- 0.0216, N = 3SE +/- 0.0549, N = 3SE +/- 0.0117, N = 3SE +/- 0.0037, N = 3SE +/- 0.0049, N = 3SE +/- 0.0032, N = 3SE +/- 0.0668, N = 3SE +/- 0.0254, N = 3SE +/- 0.0311, N = 3SE +/- 0.0861, N = 3SE +/- 0.0860, N = 3SE +/- 0.0423, N = 3SE +/- 0.0544, N = 3SE +/- 0.0091, N = 3SE +/- 0.1352, N = 3SE +/- 0.0834, N = 3SE +/- 0.0459, N = 3SE +/- 0.0081, N = 3SE +/- 0.0265, N = 3SE +/- 0.0570, N = 38.308716.604117.239722.462225.241329.175831.193829.840832.963241.141041.075444.915944.56249.461418.969226.756614.11169.654817.545520.1682
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian Dragon ObjEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R918273645Min: 8.27 / Avg: 8.31 / Max: 8.34Min: 16.5 / Avg: 16.6 / Max: 16.69Min: 17.22 / Avg: 17.24 / Max: 17.26Min: 22.45 / Avg: 22.46 / Max: 22.47Min: 25.23 / Avg: 25.24 / Max: 25.25Min: 29.17 / Avg: 29.18 / Max: 29.18Min: 31.08 / Avg: 31.19 / Max: 31.31Min: 29.81 / Avg: 29.84 / Max: 29.89Min: 32.92 / Avg: 32.96 / Max: 33.02Min: 40.97 / Avg: 41.14 / Max: 41.25Min: 40.91 / Avg: 41.08 / Max: 41.18Min: 44.87 / Avg: 44.92 / Max: 45Min: 44.45 / Avg: 44.56 / Max: 44.62Min: 9.45 / Avg: 9.46 / Max: 9.48Min: 18.71 / Avg: 18.97 / Max: 19.16Min: 26.59 / Avg: 26.76 / Max: 26.86Min: 14.02 / Avg: 14.11 / Max: 14.18Min: 9.64 / Avg: 9.65 / Max: 9.67Min: 17.51 / Avg: 17.55 / Max: 17.6Min: 20.06 / Avg: 20.17 / Max: 20.25

OpenVINO

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 6226R246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 31.222.282.433.013.483.894.384.124.755.615.646.566.101.562.973.951.402.811. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 6226R3691215Min: 1.2 / Avg: 1.22 / Max: 1.23Min: 2.27 / Avg: 2.28 / Max: 2.3Min: 2.42 / Avg: 2.43 / Max: 2.43Min: 2.99 / Avg: 3.01 / Max: 3.02Min: 3.44 / Avg: 3.48 / Max: 3.51Min: 3.89 / Avg: 3.89 / Max: 3.9Min: 4.36 / Avg: 4.38 / Max: 4.41Min: 4.12 / Avg: 4.12 / Max: 4.13Min: 4.74 / Avg: 4.75 / Max: 4.76Min: 5.59 / Avg: 5.61 / Max: 5.66Min: 5.6 / Avg: 5.64 / Max: 5.67Min: 6.53 / Avg: 6.56 / Max: 6.59Min: 6.09 / Avg: 6.1 / Max: 6.12Min: 1.55 / Avg: 1.56 / Max: 1.57Min: 2.96 / Avg: 2.97 / Max: 2.98Min: 3.92 / Avg: 3.95 / Max: 3.99Min: 1.4 / Avg: 1.4 / Max: 1.41Min: 2.8 / Avg: 2.81 / Max: 2.821. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R70140210280350SE +/- 0.42, N = 3SE +/- 0.59, N = 3SE +/- 0.81, N = 3SE +/- 0.59, N = 3SE +/- 0.75, N = 3SE +/- 0.64, N = 3SE +/- 0.46, N = 3SE +/- 0.23, N = 3SE +/- 0.29, N = 3SE +/- 0.29, N = 3SE +/- 0.40, N = 3SE +/- 0.15, N = 3SE +/- 0.07, N = 3SE +/- 0.43, N = 3SE +/- 0.78, N = 3SE +/- 0.55, N = 3SE +/- 0.19, N = 3SE +/- 0.28, N = 3SE +/- 0.26, N = 3SE +/- 0.62, N = 3303.59166.07155.20126.67108.4697.7289.8691.8783.8267.3867.1657.5157.77254.24132.6199.12205.43308.42191.88166.381. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R60120180240300Min: 302.91 / Avg: 303.59 / Max: 304.34Min: 165.23 / Avg: 166.07 / Max: 167.2Min: 154.04 / Avg: 155.2 / Max: 156.75Min: 125.55 / Avg: 126.67 / Max: 127.57Min: 107.41 / Avg: 108.46 / Max: 109.91Min: 97.08 / Avg: 97.72 / Max: 99Min: 89.2 / Avg: 89.86 / Max: 90.75Min: 91.56 / Avg: 91.87 / Max: 92.33Min: 83.25 / Avg: 83.82 / Max: 84.14Min: 67.07 / Avg: 67.37 / Max: 67.95Min: 66.55 / Avg: 67.16 / Max: 67.92Min: 57.23 / Avg: 57.51 / Max: 57.76Min: 57.69 / Avg: 57.77 / Max: 57.9Min: 253.65 / Avg: 254.24 / Max: 255.07Min: 131.57 / Avg: 132.61 / Max: 134.13Min: 98.3 / Avg: 99.12 / Max: 100.18Min: 205.14 / Avg: 205.43 / Max: 205.79Min: 307.96 / Avg: 308.42 / Max: 308.93Min: 191.59 / Avg: 191.88 / Max: 192.39Min: 165.31 / Avg: 166.38 / Max: 167.471. (CXX) g++ options: -O2 -lOpenCL

OpenVINO

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 6226R246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 31.232.302.443.023.493.884.304.124.735.585.636.586.111.552.983.941.392.821. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 6226R3691215Min: 1.22 / Avg: 1.23 / Max: 1.24Min: 2.29 / Avg: 2.3 / Max: 2.3Min: 2.43 / Avg: 2.44 / Max: 2.46Min: 3 / Avg: 3.02 / Max: 3.03Min: 3.47 / Avg: 3.49 / Max: 3.51Min: 3.86 / Avg: 3.88 / Max: 3.9Min: 4.26 / Avg: 4.3 / Max: 4.33Min: 4.11 / Avg: 4.12 / Max: 4.13Min: 4.72 / Avg: 4.73 / Max: 4.75Min: 5.53 / Avg: 5.58 / Max: 5.63Min: 5.61 / Avg: 5.63 / Max: 5.65Min: 6.56 / Avg: 6.58 / Max: 6.6Min: 6.1 / Avg: 6.11 / Max: 6.12Min: 1.53 / Avg: 1.55 / Max: 1.58Min: 2.95 / Avg: 2.98 / Max: 3.01Min: 3.92 / Avg: 3.94 / Max: 3.98Min: 1.39 / Avg: 1.39 / Max: 1.39Min: 2.8 / Avg: 2.82 / Max: 2.841. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

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: vklBenchmarkEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R110220330440550SE +/- 0.23, N = 3SE +/- 0.12, N = 3SE +/- 0.13, N = 3SE +/- 1.84, N = 3SE +/- 0.47, N = 3SE +/- 0.69, N = 3SE +/- 2.40, N = 3SE +/- 3.58, N = 3SE +/- 1.04, N = 3SE +/- 0.43, N = 3SE +/- 1.51, N = 3SE +/- 2.58, N = 3SE +/- 1.07, N = 3SE +/- 0.42, N = 3SE +/- 0.38, N = 3SE +/- 0.75, N = 3SE +/- 0.76, N = 3SE +/- 0.16, N = 3SE +/- 0.24, N = 3SE +/- 0.62, N = 392.91178.83185.83225.22268.70301.70321.44290.28343.46424.70429.76492.81439.04107.89216.80291.15150.04110.06179.69213.11
OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R90180270360450Min: 92.56 / Avg: 92.91 / Max: 93.33Min: 178.67 / Avg: 178.83 / Max: 179.06Min: 185.61 / Avg: 185.83 / Max: 186.06Min: 221.61 / Avg: 225.22 / Max: 227.67Min: 267.89 / Avg: 268.7 / Max: 269.5Min: 300.33 / Avg: 301.7 / Max: 302.44Min: 316.78 / Avg: 321.44 / Max: 324.72Min: 283.11 / Avg: 290.28 / Max: 294Min: 341.94 / Avg: 343.46 / Max: 345.44Min: 423.89 / Avg: 424.7 / Max: 425.33Min: 427.78 / Avg: 429.76 / Max: 432.72Min: 487.72 / Avg: 492.81 / Max: 496.11Min: 437.83 / Avg: 439.04 / Max: 441.17Min: 107.06 / Avg: 107.89 / Max: 108.39Min: 216.39 / Avg: 216.8 / Max: 217.56Min: 290 / Avg: 291.15 / Max: 292.56Min: 149.17 / Avg: 150.04 / Max: 151.56Min: 109.78 / Avg: 110.06 / Max: 110.33Min: 179.28 / Avg: 179.69 / Max: 180.11Min: 211.89 / Avg: 213.11 / Max: 213.89

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: Mobilenet QuantEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R40K80K120K160K200KSE +/- 28.35, N = 3SE +/- 105.24, N = 3SE +/- 98.40, N = 3SE +/- 93.48, N = 3SE +/- 246.17, N = 3SE +/- 134.69, N = 3SE +/- 40.64, N = 3SE +/- 121.23, N = 3SE +/- 125.75, N = 3SE +/- 55.04, N = 3SE +/- 76.67, N = 3SE +/- 56.13, N = 3SE +/- 139.32, N = 3SE +/- 82.35, N = 3SE +/- 125.94, N = 3SE +/- 124.60, N = 3SE +/- 16.20, N = 3SE +/- 22.53, N = 3SE +/- 18.56, N = 3SE +/- 6.89, N = 3164541.085334.282153.376578.763770.351794.547938.651690.444940.051905.148548.338559.748294.1141836.069915.660900.5130365.0201338.0125780.097886.1
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R30K60K90K120K150KMin: 164487 / Avg: 164541 / Max: 164583Min: 85157.5 / Avg: 85334.2 / Max: 85521.6Min: 82040.7 / Avg: 82153.33 / Max: 82349.4Min: 76447.6 / Avg: 76578.73 / Max: 76759.7Min: 63346.4 / Avg: 63770.3 / Max: 64199.1Min: 51558.9 / Avg: 51794.53 / Max: 52025.4Min: 47857.4 / Avg: 47938.63 / Max: 47981.5Min: 51472.8 / Avg: 51690.43 / Max: 51891.8Min: 44691.4 / Avg: 44939.97 / Max: 45097.4Min: 51828.7 / Avg: 51905.07 / Max: 52011.9Min: 48399.1 / Avg: 48548.33 / Max: 48653.5Min: 38450.4 / Avg: 38559.7 / Max: 38636.5Min: 48081.2 / Avg: 48294.07 / Max: 48556.2Min: 141751 / Avg: 141836.33 / Max: 142001Min: 69746.7 / Avg: 69915.63 / Max: 70161.9Min: 60677.9 / Avg: 60900.53 / Max: 61108.8Min: 130338 / Avg: 130365 / Max: 130394Min: 201298 / Avg: 201337.67 / Max: 201376Min: 125743 / Avg: 125780 / Max: 125801Min: 97872.5 / Avg: 97886.1 / Max: 97894.8

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R40K80K120K160K200KSE +/- 17.29, N = 3SE +/- 28.02, N = 3SE +/- 74.39, N = 3SE +/- 79.13, N = 3SE +/- 233.89, N = 3SE +/- 122.28, N = 3SE +/- 22.72, N = 3SE +/- 133.33, N = 3SE +/- 23.48, N = 3SE +/- 35.66, N = 3SE +/- 94.61, N = 3SE +/- 64.61, N = 3SE +/- 138.57, N = 3SE +/- 145.83, N = 3SE +/- 89.89, N = 3SE +/- 76.57, N = 3SE +/- 30.83, N = 3SE +/- 24.01, N = 3SE +/- 45.04, N = 3SE +/- 43.22, N = 3161011.084104.280410.475486.462532.051004.747163.950965.744046.050064.047246.137901.146464.0139149.068647.059952.8126066.0196001.0121552.094638.2
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R30K60K90K120K150KMin: 160990 / Avg: 161010.67 / Max: 161045Min: 84048.5 / Avg: 84104.23 / Max: 84137.2Min: 80332.6 / Avg: 80410.37 / Max: 80559.1Min: 75371.5 / Avg: 75486.4 / Max: 75638.1Min: 62071.6 / Avg: 62532.03 / Max: 62833.8Min: 50760.8 / Avg: 51004.7 / Max: 51142.1Min: 47120.1 / Avg: 47163.93 / Max: 47196.2Min: 50767.5 / Avg: 50965.7 / Max: 51219.3Min: 44006.7 / Avg: 44046 / Max: 44087.9Min: 49993.7 / Avg: 50063.97 / Max: 50109.7Min: 47060.9 / Avg: 47246.07 / Max: 47372.4Min: 37813.3 / Avg: 37901.1 / Max: 38027.1Min: 46220.9 / Avg: 46464.03 / Max: 46700.8Min: 138882 / Avg: 139149.33 / Max: 139384Min: 68468.5 / Avg: 68647 / Max: 68754.8Min: 59823.5 / Avg: 59952.77 / Max: 60088.5Min: 126007 / Avg: 126066 / Max: 126111Min: 195953 / Avg: 196001 / Max: 196026Min: 121467 / Avg: 121552.33 / Max: 121620Min: 94557.3 / Avg: 94638.23 / Max: 94705

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R60K120K180K240K300KSE +/- 85.27, N = 3SE +/- 53.20, N = 3SE +/- 29.76, N = 3SE +/- 143.58, N = 3SE +/- 115.19, N = 3SE +/- 113.63, N = 3SE +/- 51.28, N = 3SE +/- 39.76, N = 3SE +/- 47.46, N = 3SE +/- 80.59, N = 3SE +/- 79.18, N = 3SE +/- 79.43, N = 3SE +/- 209.40, N = 3SE +/- 69.41, N = 3SE +/- 152.59, N = 3SE +/- 199.04, N = 3SE +/- 35.48, N = 3SE +/- 103.89, N = 3SE +/- 26.51, N = 3SE +/- 89.29, N = 3243111.0128772.0124126.0109217.093759.881778.775779.382550.071361.370232.866999.357128.875223.6207979.0106967.089145.6186429.0290141.0179814.0140265.0
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R50K100K150K200K250KMin: 242947 / Avg: 243110.67 / Max: 243234Min: 128683 / Avg: 128772 / Max: 128867Min: 124076 / Avg: 124126.33 / Max: 124179Min: 108943 / Avg: 109217.33 / Max: 109428Min: 93529.5 / Avg: 93759.83 / Max: 93879.1Min: 81590.6 / Avg: 81778.7 / Max: 81983.2Min: 75682.8 / Avg: 75779.33 / Max: 75857.6Min: 82487 / Avg: 82549.97 / Max: 82623.5Min: 71268.1 / Avg: 71361.3 / Max: 71423.5Min: 70145.6 / Avg: 70232.8 / Max: 70393.8Min: 66887.1 / Avg: 66999.33 / Max: 67152.2Min: 56971.7 / Avg: 57128.77 / Max: 57227.9Min: 74900.1 / Avg: 75223.6 / Max: 75615.7Min: 207886 / Avg: 207979.33 / Max: 208115Min: 106761 / Avg: 106967 / Max: 107265Min: 88842 / Avg: 89145.63 / Max: 89520.4Min: 186372 / Avg: 186428.67 / Max: 186494Min: 290002 / Avg: 290140.67 / Max: 290344Min: 179779 / Avg: 179814 / Max: 179866Min: 140127 / Avg: 140264.67 / Max: 140432

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read OnlyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R160K320K480K640K800KSE +/- 390.58, N = 3SE +/- 371.28, N = 3SE +/- 458.18, N = 3SE +/- 964.32, N = 3SE +/- 148.41, N = 3SE +/- 1819.29, N = 3SE +/- 1272.74, N = 3SE +/- 1360.81, N = 3SE +/- 1853.99, N = 3SE +/- 1753.24, N = 3SE +/- 1866.98, N = 3SE +/- 11534.89, N = 3SE +/- 11784.18, N = 3SE +/- 763.33, N = 3SE +/- 595.69, N = 3SE +/- 744.17, N = 3SE +/- 339.57, N = 3SE +/- 574.60, N = 3SE +/- 815.21, N = 3SE +/- 1249.97, N = 31445582855483112073811234377524742445140164899565505586425676492017317367256721787243378754635823264701822003323724006721. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read OnlyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R130K260K390K520K650KMin: 144006.14 / Avg: 144558.41 / Max: 145312.98Min: 285054.9 / Avg: 285547.86 / Max: 286275.27Min: 310297.61 / Avg: 311206.78 / Max: 311760.54Min: 379914.86 / Avg: 381122.97 / Max: 383028.99Min: 437599.54 / Avg: 437751.6 / Max: 438048.38Min: 471317.66 / Avg: 474244.13 / Max: 477579.87Min: 511766.55 / Avg: 514016.17 / Max: 516172.49Min: 487238.87 / Avg: 489955.82 / Max: 491452.38Min: 546858.3 / Avg: 550558.13 / Max: 552620.87Min: 639083.37 / Avg: 642567.28 / Max: 644653.15Min: 646151.18 / Avg: 649201.35 / Max: 652591.71Min: 715925.22 / Avg: 731736.03 / Max: 754190.49Min: 702987.15 / Avg: 725671.92 / Max: 742550.71Min: 177208.31 / Avg: 178724.19 / Max: 179639.08Min: 337174.62 / Avg: 337874.52 / Max: 339059.42Min: 462640.97 / Avg: 463581.66 / Max: 465050.85Min: 325849.56 / Avg: 326470.27 / Max: 327019.31Min: 181182.93 / Avg: 182199.85 / Max: 183171.89Min: 331513.3 / Avg: 332372.07 / Max: 334001.7Min: 398177.5 / Avg: 400672.19 / Max: 402059.721. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R0.38930.77861.16791.55721.9465SE +/- 0.005, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.000, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.005, N = 3SE +/- 0.006, N = 3SE +/- 0.006, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.004, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 31.7300.8760.8040.6570.5720.5280.4870.5110.4550.3900.3860.3430.3461.4000.7410.5400.7661.3730.7530.6251. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R246810Min: 1.72 / Avg: 1.73 / Max: 1.74Min: 0.87 / Avg: 0.88 / Max: 0.88Min: 0.8 / Avg: 0.8 / Max: 0.81Min: 0.65 / Avg: 0.66 / Max: 0.66Min: 0.57 / Avg: 0.57 / Max: 0.57Min: 0.52 / Avg: 0.53 / Max: 0.53Min: 0.49 / Avg: 0.49 / Max: 0.49Min: 0.51 / Avg: 0.51 / Max: 0.51Min: 0.45 / Avg: 0.46 / Max: 0.46Min: 0.39 / Avg: 0.39 / Max: 0.39Min: 0.38 / Avg: 0.39 / Max: 0.39Min: 0.33 / Avg: 0.34 / Max: 0.35Min: 0.34 / Avg: 0.35 / Max: 0.36Min: 1.39 / Avg: 1.4 / Max: 1.41Min: 0.74 / Avg: 0.74 / Max: 0.74Min: 0.54 / Avg: 0.54 / Max: 0.54Min: 0.77 / Avg: 0.77 / Max: 0.77Min: 1.37 / Avg: 1.37 / Max: 1.38Min: 0.75 / Avg: 0.75 / Max: 0.76Min: 0.62 / Avg: 0.62 / Max: 0.631. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read OnlyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R200K400K600K800K1000KSE +/- 87.29, N = 3SE +/- 2227.34, N = 3SE +/- 1217.31, N = 3SE +/- 884.69, N = 3SE +/- 1031.24, N = 3SE +/- 6473.07, N = 3SE +/- 2789.75, N = 3SE +/- 287.53, N = 3SE +/- 574.88, N = 3SE +/- 3785.97, N = 3SE +/- 2622.87, N = 3SE +/- 1464.36, N = 3SE +/- 570.05, N = 3SE +/- 704.81, N = 3SE +/- 819.25, N = 3SE +/- 3196.29, N = 3SE +/- 589.07, N = 3SE +/- 734.63, N = 3SE +/- 974.75, N = 3SE +/- 308.40, N = 31900603648363647244501485226186251806908895889807464319475479545738374438420422250994102845384274216732580184313925402521. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read OnlyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R170K340K510K680K850KMin: 189965.32 / Avg: 190060.47 / Max: 190234.8Min: 360469.96 / Avg: 364836.23 / Max: 367784.14Min: 362322.11 / Avg: 364724.07 / Max: 366269.28Min: 448933.06 / Avg: 450147.68 / Max: 451869.24Min: 520867.61 / Avg: 522617.98 / Max: 524437.91Min: 612463.48 / Avg: 625180.49 / Max: 633639.01Min: 685623.23 / Avg: 690888.85 / Max: 695119.5Min: 588673.02 / Avg: 588979.95 / Max: 589554.56Min: 745405.8 / Avg: 746431 / Max: 747394.36Min: 940111.61 / Avg: 947547.37 / Max: 952503.31Min: 949330.8 / Avg: 954572.83 / Max: 957364.51Min: 834514.55 / Avg: 837442.79 / Max: 838952.55Min: 841070.28 / Avg: 842041.76 / Max: 843044.24Min: 224328.18 / Avg: 225098.69 / Max: 226506.21Min: 408978.87 / Avg: 410283.57 / Max: 411794.3Min: 532561.51 / Avg: 538427.36 / Max: 543560.87Min: 420884.92 / Avg: 421672.64 / Max: 422825.2Min: 256968.52 / Avg: 258017.76 / Max: 259433.09Min: 429455.61 / Avg: 431391.81 / Max: 432556.74Min: 539829.23 / Avg: 540251.96 / Max: 540852.311. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read Only - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R0.11860.23720.35580.47440.593SE +/- 0.000, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 30.5270.2740.2740.2230.1920.1600.1450.1700.1340.1060.1050.1190.1190.4450.2440.1860.2380.3880.2320.1851. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read Only - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R246810Min: 0.53 / Avg: 0.53 / Max: 0.53Min: 0.27 / Avg: 0.27 / Max: 0.28Min: 0.27 / Avg: 0.27 / Max: 0.28Min: 0.22 / Avg: 0.22 / Max: 0.22Min: 0.19 / Avg: 0.19 / Max: 0.19Min: 0.16 / Avg: 0.16 / Max: 0.16Min: 0.14 / Avg: 0.15 / Max: 0.15Min: 0.17 / Avg: 0.17 / Max: 0.17Min: 0.13 / Avg: 0.13 / Max: 0.13Min: 0.11 / Avg: 0.11 / Max: 0.11Min: 0.11 / Avg: 0.11 / Max: 0.11Min: 0.12 / Avg: 0.12 / Max: 0.12Min: 0.12 / Avg: 0.12 / Max: 0.12Min: 0.44 / Avg: 0.44 / Max: 0.45Min: 0.24 / Avg: 0.24 / Max: 0.25Min: 0.18 / Avg: 0.19 / Max: 0.19Min: 0.24 / Avg: 0.24 / Max: 0.24Min: 0.39 / Avg: 0.39 / Max: 0.39Min: 0.23 / Avg: 0.23 / Max: 0.23Min: 0.19 / Avg: 0.19 / Max: 0.191. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 250 - Mode: Read OnlyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R150K300K450K600K750KSE +/- 215.85, N = 3SE +/- 619.63, N = 3SE +/- 1077.02, N = 3SE +/- 1409.40, N = 3SE +/- 144.21, N = 3SE +/- 724.69, N = 3SE +/- 1730.67, N = 3SE +/- 1195.56, N = 3SE +/- 2717.04, N = 3SE +/- 1356.41, N = 3SE +/- 3817.77, N = 3SE +/- 7809.46, N = 3SE +/- 7702.49, N = 6SE +/- 247.67, N = 3SE +/- 555.77, N = 3SE +/- 1014.57, N = 3SE +/- 583.88, N = 3SE +/- 62.81, N = 3SE +/- 797.31, N = 3SE +/- 1246.56, N = 31383572717292963313628484170434503774854894652335176045987345931986808916714521694353196834436853112961721533168523708541. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 250 - Mode: Read OnlyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R120K240K360K480K600KMin: 137940.02 / Avg: 138357.37 / Max: 138661.61Min: 270504.51 / Avg: 271728.67 / Max: 272507.76Min: 294542.54 / Avg: 296331.36 / Max: 298265.02Min: 360029.39 / Avg: 362848.08 / Max: 364277.87Min: 416754.87 / Avg: 417043.13 / Max: 417195.63Min: 449445.05 / Avg: 450376.81 / Max: 451804.14Min: 482047.03 / Avg: 485488.6 / Max: 487529.28Min: 462949.41 / Avg: 465233.32 / Max: 466988.38Min: 513346.16 / Avg: 517604.43 / Max: 522657.15Min: 596198.71 / Avg: 598733.94 / Max: 600837.62Min: 588437.25 / Avg: 593198.23 / Max: 600748.42Min: 668077.17 / Avg: 680891.1 / Max: 695032.12Min: 641670.74 / Avg: 671451.59 / Max: 692136.61Min: 168939.25 / Avg: 169434.57 / Max: 169687.21Min: 319110.96 / Avg: 319682.59 / Max: 320793.98Min: 441750.91 / Avg: 443684.54 / Max: 445184.12Min: 310634.85 / Avg: 311296.03 / Max: 312460.21Min: 172083.58 / Avg: 172152.98 / Max: 172278.36Min: 315624.35 / Avg: 316852.22 / Max: 318347.26Min: 368384.98 / Avg: 370854.35 / Max: 372386.331. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 250 - Mode: Read Only - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R0.40680.81361.22041.62722.034SE +/- 0.003, N = 3SE +/- 0.002, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.003, N = 3SE +/- 0.001, N = 3SE +/- 0.003, N = 3SE +/- 0.004, N = 3SE +/- 0.004, N = 6SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 31.8080.9210.8440.6900.6000.5560.5160.5380.4840.4180.4220.3680.3741.4760.7830.5640.8041.4530.7900.6751. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 250 - Mode: Read Only - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R246810Min: 1.8 / Avg: 1.81 / Max: 1.81Min: 0.92 / Avg: 0.92 / Max: 0.93Min: 0.84 / Avg: 0.84 / Max: 0.85Min: 0.69 / Avg: 0.69 / Max: 0.7Min: 0.6 / Avg: 0.6 / Max: 0.6Min: 0.55 / Avg: 0.56 / Max: 0.56Min: 0.51 / Avg: 0.52 / Max: 0.52Min: 0.54 / Avg: 0.54 / Max: 0.54Min: 0.48 / Avg: 0.48 / Max: 0.49Min: 0.42 / Avg: 0.42 / Max: 0.42Min: 0.42 / Avg: 0.42 / Max: 0.43Min: 0.36 / Avg: 0.37 / Max: 0.38Min: 0.36 / Avg: 0.37 / Max: 0.39Min: 1.47 / Avg: 1.48 / Max: 1.48Min: 0.78 / Avg: 0.78 / Max: 0.78Min: 0.56 / Avg: 0.56 / Max: 0.57Min: 0.8 / Avg: 0.8 / Max: 0.81Min: 1.45 / Avg: 1.45 / Max: 1.45Min: 0.79 / Avg: 0.79 / Max: 0.79Min: 0.67 / Avg: 0.67 / Max: 0.681. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

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: Inception ResNet V2EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R800K1600K2400K3200K4000KSE +/- 1495.89, N = 3SE +/- 624.08, N = 3SE +/- 380.19, N = 3SE +/- 961.47, N = 3SE +/- 2523.85, N = 3SE +/- 447.85, N = 3SE +/- 654.96, N = 3SE +/- 309.31, N = 3SE +/- 1189.21, N = 3SE +/- 2633.01, N = 3SE +/- 1127.21, N = 3SE +/- 10740.36, N = 3SE +/- 3448.59, N = 3SE +/- 1334.67, N = 3SE +/- 1498.01, N = 3SE +/- 457.38, N = 3SE +/- 1483.81, N = 3SE +/- 122.88, N = 3SE +/- 255.76, N = 3SE +/- 1386.97, N = 3314714316356771572953145795012429639798879060029731938504248920018519407689629394922717393134699711712702401157377480023139171804003
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R700K1400K2100K2800K3500KMin: 3144340 / Avg: 3147143.33 / Max: 3149450Min: 1634960 / Avg: 1635676.67 / Max: 1636920Min: 1572510 / Avg: 1572953.33 / Max: 1573710Min: 1456070 / Avg: 1457950 / Max: 1459240Min: 1238220 / Avg: 1242963.33 / Max: 1246830Min: 979151 / Avg: 979886.67 / Max: 980697Min: 905180 / Avg: 906001.67 / Max: 907296Min: 972776 / Avg: 973192.67 / Max: 973797Min: 848503 / Avg: 850424 / Max: 852599Min: 889315 / Avg: 892001.33 / Max: 897267Min: 850031 / Avg: 851939.67 / Max: 853933Min: 748326 / Avg: 768961.67 / Max: 784446Min: 932634 / Avg: 939491.67 / Max: 943559Min: 2714830 / Avg: 2717393.33 / Max: 2719320Min: 1344170 / Avg: 1346996.67 / Max: 1349270Min: 1170570 / Avg: 1171270 / Max: 1172130Min: 2398320 / Avg: 2401156.67 / Max: 2403330Min: 3774570 / Avg: 3774800 / Max: 3774990Min: 2313530 / Avg: 2313916.67 / Max: 2314400Min: 1801860 / Avg: 1804003.33 / Max: 1806600

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R612182430SE +/- 0.14, N = 4SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 15SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.65, N = 3SE +/- 0.36, N = 3SE +/- 0.12, N = 8SE +/- 1.62, N = 3SE +/- 0.33, N = 3SE +/- 2.05, N = 3SE +/- 1.63, N = 3SE +/- 0.09, N = 3SE +/- 0.11, N = 10SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.12, N = 38.977.498.6310.218.479.9810.4912.089.8115.9515.4021.0527.157.428.909.416.515.556.686.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R612182430Min: 8.58 / Avg: 8.97 / Max: 9.25Min: 7.39 / Avg: 7.49 / Max: 7.62Min: 8.59 / Avg: 8.63 / Max: 8.7Min: 9.69 / Avg: 10.21 / Max: 10.69Min: 8.35 / Avg: 8.47 / Max: 8.59Min: 9.84 / Avg: 9.98 / Max: 10.1Min: 9.56 / Avg: 10.49 / Max: 11.73Min: 11.64 / Avg: 12.08 / Max: 12.79Min: 9.46 / Avg: 9.81 / Max: 10.52Min: 13.9 / Avg: 15.95 / Max: 19.15Min: 14.75 / Avg: 15.4 / Max: 15.81Min: 18.92 / Avg: 21.05 / Max: 25.14Min: 24.31 / Avg: 27.15 / Max: 29.96Min: 7.29 / Avg: 7.42 / Max: 7.6Min: 8.5 / Avg: 8.9 / Max: 9.63Min: 9.38 / Avg: 9.41 / Max: 9.44Min: 6.46 / Avg: 6.51 / Max: 6.54Min: 5.48 / Avg: 5.55 / Max: 5.66Min: 6.62 / Avg: 6.68 / Max: 6.77Min: 6.02 / Avg: 6.26 / Max: 6.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read OnlyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R160K320K480K640K800KSE +/- 254.87, N = 3SE +/- 966.61, N = 3SE +/- 389.05, N = 3SE +/- 1232.15, N = 3SE +/- 1670.95, N = 3SE +/- 470.31, N = 3SE +/- 1887.75, N = 3SE +/- 111.05, N = 3SE +/- 546.50, N = 3SE +/- 2221.89, N = 3SE +/- 1797.71, N = 3SE +/- 827.25, N = 3SE +/- 4530.06, N = 3SE +/- 241.14, N = 3SE +/- 683.10, N = 3SE +/- 969.08, N = 3SE +/- 238.73, N = 3SE +/- 827.10, N = 3SE +/- 216.75, N = 3SE +/- 3238.10, N = 31539572824182981913587264070554557754926774665115313916492246630047433047279011779203154644274213591282086103668074182331. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read OnlyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R130K260K390K520K650KMin: 153447.84 / Avg: 153956.74 / Max: 154236.45Min: 281209.04 / Avg: 282418.32 / Max: 284329.18Min: 297431.92 / Avg: 298190.97 / Max: 298718.73Min: 356400.28 / Avg: 358726.15 / Max: 360594.31Min: 403723.1 / Avg: 407054.86 / Max: 408946.14Min: 454920.9 / Avg: 455775.26 / Max: 456543.22Min: 490194.35 / Avg: 492676.87 / Max: 496381.59Min: 466312.01 / Avg: 466511.04 / Max: 466695.91Min: 530679.58 / Avg: 531390.67 / Max: 532465.07Min: 645401.97 / Avg: 649223.99 / Max: 653098.28Min: 659437.26 / Avg: 663004.17 / Max: 665178.95Min: 742300.99 / Avg: 743304.49 / Max: 744945.44Min: 720293.42 / Avg: 727901.14 / Max: 735966.03Min: 177454.45 / Avg: 177919.83 / Max: 178262.11Min: 314189.87 / Avg: 315463.89 / Max: 316528.12Min: 425483.96 / Avg: 427421.1 / Max: 428444.12Min: 358855.96 / Avg: 359128.16 / Max: 359603.97Min: 207549.25 / Avg: 208610.07 / Max: 210239.69Min: 366407.88 / Avg: 366807.38 / Max: 367152.86Min: 411865.7 / Avg: 418232.88 / Max: 422441.251. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

Tungsten Renderer

Tungsten is a C++ physically based renderer that makes use of Intel's Embree ray tracing library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: HairEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R816243240SE +/- 0.10006, N = 3SE +/- 0.08758, N = 3SE +/- 0.05246, N = 3SE +/- 0.05632, N = 3SE +/- 0.01654, N = 3SE +/- 0.04417, N = 3SE +/- 0.02559, N = 3SE +/- 0.01212, N = 3SE +/- 0.01406, N = 3SE +/- 0.02805, N = 3SE +/- 0.03439, N = 3SE +/- 0.04381, N = 3SE +/- 0.01530, N = 3SE +/- 0.03995, N = 3SE +/- 0.04779, N = 3SE +/- 0.01623, N = 3SE +/- 0.15858, N = 3SE +/- 0.04311, N = 3SE +/- 0.08502, N = 3SE +/- 0.05345, N = 330.8350016.4841015.3817013.0439011.3509010.530109.6998710.060009.154798.121298.014917.056887.0681825.1093013.0530010.3161022.4445034.0642021.4554017.768001. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512pf -mno-avx512er -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: HairEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R714212835Min: 30.64 / Avg: 30.84 / Max: 30.97Min: 16.35 / Avg: 16.48 / Max: 16.65Min: 15.31 / Avg: 15.38 / Max: 15.48Min: 12.95 / Avg: 13.04 / Max: 13.14Min: 11.33 / Avg: 11.35 / Max: 11.38Min: 10.44 / Avg: 10.53 / Max: 10.58Min: 9.66 / Avg: 9.7 / Max: 9.75Min: 10.05 / Avg: 10.06 / Max: 10.08Min: 9.13 / Avg: 9.15 / Max: 9.17Min: 8.09 / Avg: 8.12 / Max: 8.18Min: 7.96 / Avg: 8.01 / Max: 8.08Min: 7 / Avg: 7.06 / Max: 7.14Min: 7.04 / Avg: 7.07 / Max: 7.09Min: 25.04 / Avg: 25.11 / Max: 25.18Min: 12.98 / Avg: 13.05 / Max: 13.14Min: 10.3 / Avg: 10.32 / Max: 10.35Min: 22.23 / Avg: 22.44 / Max: 22.75Min: 33.98 / Avg: 34.06 / Max: 34.12Min: 21.31 / Avg: 21.46 / Max: 21.6Min: 17.68 / Avg: 17.77 / Max: 17.861. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512pf -mno-avx512er -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R0.14630.29260.43890.58520.7315SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.002, N = 3SE +/- 0.000, N = 3SE +/- 0.002, N = 30.6500.3540.3360.2790.2460.2200.2030.2150.1890.1540.1510.1350.1380.5620.3170.2340.2790.4800.2730.2391. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R246810Min: 0.65 / Avg: 0.65 / Max: 0.65Min: 0.35 / Avg: 0.35 / Max: 0.36Min: 0.34 / Avg: 0.34 / Max: 0.34Min: 0.28 / Avg: 0.28 / Max: 0.28Min: 0.25 / Avg: 0.25 / Max: 0.25Min: 0.22 / Avg: 0.22 / Max: 0.22Min: 0.2 / Avg: 0.2 / Max: 0.2Min: 0.22 / Avg: 0.22 / Max: 0.22Min: 0.19 / Avg: 0.19 / Max: 0.19Min: 0.15 / Avg: 0.15 / Max: 0.16Min: 0.15 / Avg: 0.15 / Max: 0.15Min: 0.13 / Avg: 0.13 / Max: 0.14Min: 0.14 / Avg: 0.14 / Max: 0.14Min: 0.56 / Avg: 0.56 / Max: 0.56Min: 0.32 / Avg: 0.32 / Max: 0.32Min: 0.23 / Avg: 0.23 / Max: 0.24Min: 0.28 / Avg: 0.28 / Max: 0.28Min: 0.48 / Avg: 0.48 / Max: 0.48Min: 0.27 / Avg: 0.27 / Max: 0.27Min: 0.24 / Avg: 0.24 / Max: 0.241. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 100 - Mode: Read OnlyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R150K300K450K600K750KSE +/- 116.38, N = 3SE +/- 237.11, N = 3SE +/- 221.72, N = 3SE +/- 647.23, N = 3SE +/- 1253.21, N = 3SE +/- 481.91, N = 3SE +/- 484.01, N = 3SE +/- 534.92, N = 3SE +/- 1742.02, N = 3SE +/- 2561.67, N = 3SE +/- 4128.12, N = 3SE +/- 1979.45, N = 3SE +/- 3649.95, N = 3SE +/- 440.23, N = 3SE +/- 578.92, N = 3SE +/- 269.40, N = 3SE +/- 1710.14, N = 3SE +/- 324.27, N = 3SE +/- 822.86, N = 3SE +/- 1062.65, N = 31471052727832839513452713923764387544752144450015061256231716310407034066839751693232997764082263376931945643361143806881. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 100 - Mode: Read OnlyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R120K240K360K480K600KMin: 146879.97 / Avg: 147104.64 / Max: 147269.66Min: 272354.55 / Avg: 272782.71 / Max: 273173.35Min: 283511.64 / Avg: 283950.66 / Max: 284224.23Min: 344389.34 / Avg: 345271.42 / Max: 346532.94Min: 390015.68 / Avg: 392375.76 / Max: 394286.62Min: 437804.64 / Avg: 438753.97 / Max: 439372.84Min: 474343.21 / Avg: 475213.99 / Max: 476015.6Min: 444155.82 / Avg: 445000.55 / Max: 445991.47Min: 502686.88 / Avg: 506124.8 / Max: 508333.05Min: 618057.73 / Avg: 623171.49 / Max: 625999.8Min: 623626.35 / Avg: 631039.66 / Max: 637893.74Min: 700059.48 / Avg: 703406.49 / Max: 706911.07Min: 677575.99 / Avg: 683975.18 / Max: 690216.83Min: 168770.72 / Avg: 169322.65 / Max: 170192.71Min: 298700.71 / Avg: 299775.71 / Max: 300685.69Min: 407943.45 / Avg: 408226.49 / Max: 408765.06Min: 335121.82 / Avg: 337692.86 / Max: 340931.86Min: 193989.91 / Avg: 194564.45 / Max: 195112.24Min: 334667.84 / Avg: 336114.26 / Max: 337517.32Min: 378655.78 / Avg: 380688.34 / Max: 382242.41. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 100 - Mode: Read Only - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R0.1530.3060.4590.6120.765SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.6800.3670.3520.2900.2550.2280.2110.2250.1980.1610.1590.1430.1460.5910.3340.2450.2970.5140.2980.2631. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 100 - Mode: Read Only - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R246810Min: 0.68 / Avg: 0.68 / Max: 0.68Min: 0.37 / Avg: 0.37 / Max: 0.37Min: 0.35 / Avg: 0.35 / Max: 0.35Min: 0.29 / Avg: 0.29 / Max: 0.29Min: 0.25 / Avg: 0.26 / Max: 0.26Min: 0.23 / Avg: 0.23 / Max: 0.23Min: 0.21 / Avg: 0.21 / Max: 0.21Min: 0.23 / Avg: 0.23 / Max: 0.23Min: 0.2 / Avg: 0.2 / Max: 0.2Min: 0.16 / Avg: 0.16 / Max: 0.16Min: 0.16 / Avg: 0.16 / Max: 0.16Min: 0.14 / Avg: 0.14 / Max: 0.14Min: 0.15 / Avg: 0.15 / Max: 0.15Min: 0.59 / Avg: 0.59 / Max: 0.59Min: 0.33 / Avg: 0.33 / Max: 0.34Min: 0.25 / Avg: 0.25 / Max: 0.25Min: 0.29 / Avg: 0.3 / Max: 0.3Min: 0.51 / Avg: 0.51 / Max: 0.52Min: 0.3 / Avg: 0.3 / Max: 0.3Min: 0.26 / Avg: 0.26 / Max: 0.261. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

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: Inception V4EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R900K1800K2700K3600K4500KSE +/- 180.03, N = 3SE +/- 927.26, N = 3SE +/- 430.56, N = 3SE +/- 1422.61, N = 3SE +/- 3534.54, N = 3SE +/- 506.19, N = 3SE +/- 265.85, N = 3SE +/- 1597.95, N = 3SE +/- 1095.28, N = 3SE +/- 1492.34, N = 3SE +/- 796.92, N = 3SE +/- 10849.29, N = 3SE +/- 2152.71, N = 3SE +/- 1214.14, N = 3SE +/- 1977.94, N = 3SE +/- 2472.71, N = 3SE +/- 472.48, N = 3SE +/- 407.06, N = 3SE +/- 72.19, N = 3SE +/- 1250.33, N = 334825431818303175110316516931434267109885010174731096420956334103222797470990111510348932991340150057013317572659380417807025646572001020
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R700K1400K2100K2800K3500KMin: 3482190 / Avg: 3482543.33 / Max: 3482780Min: 1816530 / Avg: 1818303.33 / Max: 1819660Min: 1750250 / Avg: 1751103.33 / Max: 1751630Min: 1648870 / Avg: 1651693.33 / Max: 1653410Min: 1428600 / Avg: 1434266.67 / Max: 1440760Min: 1098140 / Avg: 1098850 / Max: 1099830Min: 1016960 / Avg: 1017473.33 / Max: 1017850Min: 1093440 / Avg: 1096420 / Max: 1098910Min: 954214 / Avg: 956334.33 / Max: 957871Min: 1029410 / Avg: 1032226.67 / Max: 1034490Min: 973240 / Avg: 974709 / Max: 975979Min: 883545 / Avg: 901115.33 / Max: 920927Min: 1030910 / Avg: 1034893.33 / Max: 1038300Min: 2989820 / Avg: 2991340 / Max: 2993740Min: 1496910 / Avg: 1500570 / Max: 1503700Min: 1328690 / Avg: 1331756.67 / Max: 1336650Min: 2658490 / Avg: 2659380 / Max: 2660100Min: 4177370 / Avg: 4178070 / Max: 4178780Min: 2564570 / Avg: 2564656.67 / Max: 2564800Min: 1999020 / Avg: 2001020 / Max: 2003320

ArrayFire

ArrayFire is an GPU and CPU numeric processing library, this test uses the built-in CPU and OpenCL ArrayFire benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterArrayFire 3.7Test: Conjugate Gradient CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R918273645SE +/- 0.419, N = 3SE +/- 0.052, N = 3SE +/- 0.131, N = 3SE +/- 0.346, N = 15SE +/- 0.576, N = 3SE +/- 0.905, N = 12SE +/- 0.484, N = 15SE +/- 0.266, N = 3SE +/- 0.254, N = 3SE +/- 0.393, N = 3SE +/- 0.269, N = 15SE +/- 0.140, N = 3SE +/- 0.436, N = 3SE +/- 0.492, N = 15SE +/- 0.231, N = 3SE +/- 0.197, N = 3SE +/- 0.236, N = 12SE +/- 0.445, N = 12SE +/- 0.141, N = 3SE +/- 0.333, N = 1234.67040.48035.44036.46039.06039.89034.68038.99039.86035.42034.66041.08040.10034.42034.69034.31011.61014.67010.0928.9281. (CXX) g++ options: -rdynamic
OpenBenchmarking.orgms, Fewer Is BetterArrayFire 3.7Test: Conjugate Gradient CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R918273645Min: 34.08 / Avg: 34.67 / Max: 35.48Min: 40.41 / Avg: 40.48 / Max: 40.58Min: 35.25 / Avg: 35.44 / Max: 35.69Min: 33.78 / Avg: 36.46 / Max: 38.67Min: 38.24 / Avg: 39.06 / Max: 40.17Min: 36.69 / Avg: 39.89 / Max: 48.24Min: 33.32 / Avg: 34.68 / Max: 39.23Min: 38.52 / Avg: 38.99 / Max: 39.44Min: 39.35 / Avg: 39.86 / Max: 40.14Min: 34.79 / Avg: 35.42 / Max: 36.14Min: 33.09 / Avg: 34.66 / Max: 37.07Min: 40.94 / Avg: 41.08 / Max: 41.36Min: 39.24 / Avg: 40.1 / Max: 40.64Min: 32.46 / Avg: 34.42 / Max: 39.15Min: 34.28 / Avg: 34.69 / Max: 35.08Min: 34.07 / Avg: 34.31 / Max: 34.7Min: 9.88 / Avg: 11.61 / Max: 12.8Min: 13.34 / Avg: 14.67 / Max: 18.48Min: 9.84 / Avg: 10.09 / Max: 10.32Min: 7 / Avg: 8.93 / Max: 10.151. (CXX) g++ options: -rdynamic

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: f32 - Engine: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R246810SE +/- 0.13039, N = 15SE +/- 0.10035, N = 15SE +/- 0.01628, N = 3SE +/- 0.02418, N = 15SE +/- 0.02820, N = 15SE +/- 0.05039, N = 15SE +/- 0.01793, N = 3SE +/- 0.01911, N = 3SE +/- 0.02197, N = 3SE +/- 0.02747, N = 3SE +/- 0.00682, N = 3SE +/- 0.01653, N = 3SE +/- 0.02328, N = 3SE +/- 0.05477, N = 15SE +/- 0.00248, N = 3SE +/- 0.00666, N = 3SE +/- 0.00771, N = 3SE +/- 0.00476, N = 3SE +/- 0.00682, N = 3SE +/- 0.00535, N = 36.826386.459842.628912.820412.406893.885291.751832.227792.236482.021671.486241.631321.808185.444561.995961.645854.726366.308743.635542.354671. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: f32 - Engine: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215Min: 6.08 / Avg: 6.83 / Max: 7.88Min: 5.52 / Avg: 6.46 / Max: 6.84Min: 2.6 / Avg: 2.63 / Max: 2.65Min: 2.58 / Avg: 2.82 / Max: 2.96Min: 2.22 / Avg: 2.41 / Max: 2.56Min: 3.5 / Avg: 3.89 / Max: 4.21Min: 1.72 / Avg: 1.75 / Max: 1.77Min: 2.2 / Avg: 2.23 / Max: 2.26Min: 2.21 / Avg: 2.24 / Max: 2.28Min: 1.99 / Avg: 2.02 / Max: 2.08Min: 1.47 / Avg: 1.49 / Max: 1.49Min: 1.6 / Avg: 1.63 / Max: 1.66Min: 1.78 / Avg: 1.81 / Max: 1.85Min: 4.89 / Avg: 5.44 / Max: 5.67Min: 1.99 / Avg: 2 / Max: 2Min: 1.64 / Avg: 1.65 / Max: 1.66Min: 4.71 / Avg: 4.73 / Max: 4.74Min: 6.3 / Avg: 6.31 / Max: 6.32Min: 3.62 / Avg: 3.64 / Max: 3.65Min: 2.35 / Avg: 2.35 / Max: 2.361. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Facebook RocksDB

This is a benchmark of Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Sequential FillEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R300K600K900K1200K1500KSE +/- 4574.26, N = 3SE +/- 2819.70, N = 3SE +/- 9257.15, N = 3SE +/- 4423.99, N = 3SE +/- 4315.53, N = 3SE +/- 346.34, N = 3SE +/- 416.48, N = 3SE +/- 1164.99, N = 3SE +/- 40675.14, N = 15SE +/- 161.22, N = 3SE +/- 202.26, N = 3SE +/- 386.83, N = 3SE +/- 320.44, N = 3SE +/- 5220.90, N = 8SE +/- 1524.48, N = 3SE +/- 6259.81, N = 11SE +/- 5498.30, N = 3SE +/- 4790.56, N = 3SE +/- 3847.22, N = 3SE +/- 14392.13, N = 346424164096662752567342378748833531635869928354167406631024128408629829029739050611859099471271812677451013371126479012995991. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Sequential FillEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R200K400K600K800K1000KMin: 459420 / Avg: 464241 / Max: 473385Min: 635510 / Avg: 640965.67 / Max: 644930Min: 609012 / Avg: 627525 / Max: 636971Min: 664708 / Avg: 673423 / Max: 679104Min: 778964 / Avg: 787487.67 / Max: 792925Min: 334741 / Avg: 335316 / Max: 335938Min: 357882 / Avg: 358698.67 / Max: 359249Min: 282294 / Avg: 283541 / Max: 285869Min: 381485 / Avg: 674066.47 / Max: 841490Min: 310045 / Avg: 310241.33 / Max: 310561Min: 283684 / Avg: 284086 / Max: 284326Min: 297519 / Avg: 298290.33 / Max: 298728Min: 297028 / Avg: 297390 / Max: 298029Min: 481898 / Avg: 506117.63 / Max: 523042Min: 588002 / Avg: 590994.33 / Max: 592997Min: 685758 / Avg: 712718 / Max: 751042Min: 1257290 / Avg: 1267745.33 / Max: 1275924Min: 1007074 / Avg: 1013370.67 / Max: 1022773Min: 1258691 / Avg: 1264789.67 / Max: 1271902Min: 1277043 / Avg: 1299598.67 / Max: 13263631. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Memory CopyingEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R4K8K12K16K20KSE +/- 59.34, N = 3SE +/- 38.10, N = 3SE +/- 29.43, N = 3SE +/- 94.64, N = 3SE +/- 40.62, N = 3SE +/- 32.09, N = 3SE +/- 19.95, N = 3SE +/- 25.22, N = 3SE +/- 14.92, N = 3SE +/- 41.28, N = 3SE +/- 124.38, N = 3SE +/- 78.70, N = 3SE +/- 49.56, N = 3SE +/- 23.96, N = 3SE +/- 67.68, N = 3SE +/- 41.62, N = 3SE +/- 4.09, N = 3SE +/- 9.32, N = 3SE +/- 10.36, N = 3SE +/- 7.33, N = 35237.687481.7410289.0910647.6411346.957605.327700.2316128.647802.8210123.7316521.4011078.3811015.816202.907434.4212720.294890.023627.205222.905562.151. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Memory CopyingEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3K6K9K12K15KMin: 5157.6 / Avg: 5237.68 / Max: 5353.58Min: 7424.73 / Avg: 7481.74 / Max: 7554.04Min: 10238.06 / Avg: 10289.09 / Max: 10340.01Min: 10468.89 / Avg: 10647.64 / Max: 10790.93Min: 11276.08 / Avg: 11346.95 / Max: 11416.79Min: 7541.26 / Avg: 7605.32 / Max: 7640.63Min: 7668.41 / Avg: 7700.23 / Max: 7737Min: 16087.02 / Avg: 16128.64 / Max: 16174.13Min: 7787.89 / Avg: 7802.82 / Max: 7832.66Min: 10042.08 / Avg: 10123.73 / Max: 10175.2Min: 16299.62 / Avg: 16521.4 / Max: 16729.86Min: 10989.75 / Avg: 11078.38 / Max: 11235.33Min: 10929.71 / Avg: 11015.81 / Max: 11101.4Min: 6166.89 / Avg: 6202.9 / Max: 6248.29Min: 7303.88 / Avg: 7434.42 / Max: 7530.67Min: 12641.78 / Avg: 12720.29 / Max: 12783.5Min: 4881.86 / Avg: 4890.02 / Max: 4894.5Min: 3615.61 / Avg: 3627.2 / Max: 3645.63Min: 5204.77 / Avg: 5222.9 / Max: 5240.67Min: 5552.79 / Avg: 5562.15 / Max: 5576.611. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

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 1.4.11080p 8-bit YUV To HEVC Video EncodeEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R4080120160200SE +/- 0.19, N = 3SE +/- 0.21, N = 3SE +/- 0.23, N = 3SE +/- 0.49, N = 3SE +/- 0.91, N = 3SE +/- 0.69, N = 3SE +/- 0.47, N = 3SE +/- 0.98, N = 3SE +/- 0.63, N = 3SE +/- 0.93, N = 3SE +/- 1.41, N = 3SE +/- 0.30, N = 3SE +/- 0.98, N = 3SE +/- 0.03, N = 3SE +/- 0.17, N = 3SE +/- 0.13, N = 3SE +/- 0.09, N = 3SE +/- 0.11, N = 3SE +/- 0.10, N = 3SE +/- 0.12, N = 342.3477.1180.2698.40113.54122.18131.25123.86141.01161.14159.13166.89161.9647.9186.52122.4056.8936.9657.3474.921. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.4.11080p 8-bit YUV To HEVC Video EncodeEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R306090120150Min: 41.96 / Avg: 42.34 / Max: 42.54Min: 76.7 / Avg: 77.11 / Max: 77.39Min: 80.02 / Avg: 80.26 / Max: 80.71Min: 97.42 / Avg: 98.4 / Max: 98.98Min: 111.79 / Avg: 113.54 / Max: 114.83Min: 120.87 / Avg: 122.18 / Max: 123.2Min: 130.35 / Avg: 131.25 / Max: 131.96Min: 121.9 / Avg: 123.86 / Max: 124.95Min: 139.76 / Avg: 141.01 / Max: 141.74Min: 159.28 / Avg: 161.14 / Max: 162.21Min: 157.52 / Avg: 159.13 / Max: 161.94Min: 166.3 / Avg: 166.89 / Max: 167.32Min: 160.26 / Avg: 161.96 / Max: 163.67Min: 47.87 / Avg: 47.91 / Max: 47.98Min: 86.33 / Avg: 86.52 / Max: 86.86Min: 122.15 / Avg: 122.4 / Max: 122.57Min: 56.72 / Avg: 56.89 / Max: 57Min: 36.75 / Avg: 36.96 / Max: 37.07Min: 57.13 / Avg: 57.34 / Max: 57.47Min: 74.78 / Avg: 74.92 / Max: 75.161. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215SE +/- 0.17338, N = 15SE +/- 0.07609, N = 12SE +/- 0.05093, N = 3SE +/- 0.03719, N = 3SE +/- 0.04603, N = 5SE +/- 0.03440, N = 3SE +/- 0.02092, N = 3SE +/- 0.02822, N = 3SE +/- 0.00944, N = 3SE +/- 0.00832, N = 3SE +/- 0.02643, N = 3SE +/- 0.00212, N = 3SE +/- 0.04321, N = 3SE +/- 0.03437, N = 3SE +/- 0.01291, N = 3SE +/- 0.00248, N = 3SE +/- 0.02573, N = 3SE +/- 0.00451, N = 3SE +/- 0.00527, N = 3SE +/- 0.00706, N = 310.590065.735735.291054.240313.730963.767413.696763.802723.544602.531472.383032.381562.896096.984974.020473.063967.637408.266705.786553.195311. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215Min: 9.83 / Avg: 10.59 / Max: 12.11Min: 5.47 / Avg: 5.74 / Max: 6.46Min: 5.21 / Avg: 5.29 / Max: 5.38Min: 4.18 / Avg: 4.24 / Max: 4.3Min: 3.57 / Avg: 3.73 / Max: 3.85Min: 3.72 / Avg: 3.77 / Max: 3.83Min: 3.67 / Avg: 3.7 / Max: 3.74Min: 3.77 / Avg: 3.8 / Max: 3.86Min: 3.53 / Avg: 3.54 / Max: 3.56Min: 2.52 / Avg: 2.53 / Max: 2.55Min: 2.35 / Avg: 2.38 / Max: 2.44Min: 2.38 / Avg: 2.38 / Max: 2.39Min: 2.83 / Avg: 2.9 / Max: 2.97Min: 6.94 / Avg: 6.98 / Max: 7.05Min: 4 / Avg: 4.02 / Max: 4.04Min: 3.06 / Avg: 3.06 / Max: 3.07Min: 7.59 / Avg: 7.64 / Max: 7.67Min: 8.26 / Avg: 8.27 / Max: 8.27Min: 5.78 / Avg: 5.79 / Max: 5.8Min: 3.18 / Avg: 3.2 / Max: 3.211. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

IndigoBench

This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.0.64Scene: SupercarEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215SE +/- 0.004, N = 3SE +/- 0.003, N = 3SE +/- 0.004, N = 3SE +/- 0.010, N = 3SE +/- 0.008, N = 3SE +/- 0.036, N = 3SE +/- 0.007, N = 3SE +/- 0.013, N = 3SE +/- 0.014, N = 3SE +/- 0.004, N = 3SE +/- 0.010, N = 3SE +/- 0.027, N = 3SE +/- 0.032, N = 3SE +/- 0.005, N = 3SE +/- 0.011, N = 3SE +/- 0.019, N = 3SE +/- 0.009, N = 3SE +/- 0.000, N = 3SE +/- 0.003, N = 3SE +/- 0.023, N = 32.1244.4824.5895.9916.8267.6418.0317.5498.3748.8848.6909.4189.2372.5785.0897.0994.1492.4254.3054.871
OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.0.64Scene: SupercarEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215Min: 2.12 / Avg: 2.12 / Max: 2.13Min: 4.48 / Avg: 4.48 / Max: 4.49Min: 4.58 / Avg: 4.59 / Max: 4.6Min: 5.98 / Avg: 5.99 / Max: 6.01Min: 6.82 / Avg: 6.83 / Max: 6.84Min: 7.59 / Avg: 7.64 / Max: 7.71Min: 8.02 / Avg: 8.03 / Max: 8.04Min: 7.53 / Avg: 7.55 / Max: 7.57Min: 8.35 / Avg: 8.37 / Max: 8.39Min: 8.88 / Avg: 8.88 / Max: 8.89Min: 8.67 / Avg: 8.69 / Max: 8.71Min: 9.38 / Avg: 9.42 / Max: 9.47Min: 9.18 / Avg: 9.24 / Max: 9.28Min: 2.57 / Avg: 2.58 / Max: 2.59Min: 5.07 / Avg: 5.09 / Max: 5.11Min: 7.08 / Avg: 7.1 / Max: 7.14Min: 4.13 / Avg: 4.15 / Max: 4.16Min: 2.42 / Avg: 2.42 / Max: 2.43Min: 4.3 / Avg: 4.31 / Max: 4.31Min: 4.84 / Avg: 4.87 / Max: 4.92

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Socket ActivityEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R4K8K12K16K20KSE +/- 36.64, N = 3SE +/- 6.33, N = 3SE +/- 33.67, N = 3SE +/- 150.74, N = 3SE +/- 24.57, N = 3SE +/- 30.42, N = 3SE +/- 36.22, N = 3SE +/- 175.10, N = 3SE +/- 27.89, N = 3SE +/- 130.50, N = 3SE +/- 99.71, N = 3SE +/- 99.95, N = 3SE +/- 20.23, N = 3SE +/- 49.91, N = 3SE +/- 53.13, N = 3SE +/- 1.50, N = 3SE +/- 131.63, N = 3SE +/- 5.26, N = 3SE +/- 90.79, N = 3SE +/- 63.48, N = 34400.488104.198429.0111202.3812003.2613412.9714442.2114049.7615411.0717296.8418133.9819039.3719463.865244.219368.2612692.918378.865486.168655.249588.461. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Socket ActivityEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3K6K9K12K15KMin: 4356.82 / Avg: 4400.48 / Max: 4473.28Min: 8091.91 / Avg: 8104.19 / Max: 8112.97Min: 8367.15 / Avg: 8429.01 / Max: 8482.97Min: 10906.58 / Avg: 11202.38 / Max: 11400.71Min: 11955.06 / Avg: 12003.26 / Max: 12035.6Min: 13355.04 / Avg: 13412.97 / Max: 13458.06Min: 14373.73 / Avg: 14442.21 / Max: 14496.92Min: 13699.8 / Avg: 14049.76 / Max: 14235.86Min: 15360.66 / Avg: 15411.07 / Max: 15456.97Min: 17069.15 / Avg: 17296.84 / Max: 17521.19Min: 17935.45 / Avg: 18133.98 / Max: 18249.55Min: 18849.83 / Avg: 19039.37 / Max: 19189.15Min: 19434.91 / Avg: 19463.86 / Max: 19502.82Min: 5145.21 / Avg: 5244.21 / Max: 5304.74Min: 9270.87 / Avg: 9368.26 / Max: 9453.78Min: 12689.93 / Avg: 12692.91 / Max: 12694.72Min: 8212.78 / Avg: 8378.86 / Max: 8638.81Min: 5475.64 / Avg: 5486.16 / Max: 5491.65Min: 8552.62 / Avg: 8655.24 / Max: 8836.28Min: 9508.53 / Avg: 9588.46 / Max: 9713.851. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R612182430SE +/- 0.03, N = 4SE +/- 0.06, N = 3SE +/- 0.25, N = 3SE +/- 0.10, N = 15SE +/- 0.06, N = 3SE +/- 0.15, N = 3SE +/- 0.32, N = 2SE +/- 0.46, N = 3SE +/- 0.17, N = 8SE +/- 1.60, N = 3SE +/- 0.20, N = 3SE +/- 2.95, N = 3SE +/- 1.69, N = 3SE +/- 0.14, N = 3SE +/- 0.06, N = 10SE +/- 0.15, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.14, N = 3SE +/- 0.06, N = 38.496.848.109.838.139.419.3511.639.3417.0615.0221.4626.027.308.499.326.845.897.176.461. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R612182430Min: 8.4 / Avg: 8.49 / Max: 8.54Min: 6.76 / Avg: 6.84 / Max: 6.95Min: 7.62 / Avg: 8.1 / Max: 8.48Min: 9.41 / Avg: 9.83 / Max: 10.84Min: 8.03 / Avg: 8.13 / Max: 8.25Min: 9.22 / Avg: 9.41 / Max: 9.71Min: 9.03 / Avg: 9.35 / Max: 9.66Min: 11.07 / Avg: 11.63 / Max: 12.54Min: 8.9 / Avg: 9.34 / Max: 10.14Min: 14.96 / Avg: 17.06 / Max: 20.19Min: 14.65 / Avg: 15.02 / Max: 15.34Min: 17.43 / Avg: 21.46 / Max: 27.22Min: 22.65 / Avg: 26.02 / Max: 27.89Min: 7.08 / Avg: 7.3 / Max: 7.55Min: 8.21 / Avg: 8.49 / Max: 8.76Min: 9.12 / Avg: 9.32 / Max: 9.62Min: 6.72 / Avg: 6.84 / Max: 7.04Min: 5.81 / Avg: 5.89 / Max: 6.01Min: 6.99 / Avg: 7.17 / Max: 7.44Min: 6.34 / Avg: 6.46 / Max: 6.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read OnlyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R140K280K420K560K700KSE +/- 149.15, N = 3SE +/- 188.91, N = 3SE +/- 1102.05, N = 3SE +/- 1476.34, N = 3SE +/- 737.75, N = 3SE +/- 2589.99, N = 3SE +/- 918.89, N = 3SE +/- 2525.65, N = 3SE +/- 4023.11, N = 3SE +/- 1435.30, N = 3SE +/- 8591.53, N = 3SE +/- 3697.32, N = 3SE +/- 1696.19, N = 3SE +/- 355.78, N = 3SE +/- 4054.87, N = 3SE +/- 3216.95, N = 3SE +/- 1908.92, N = 3SE +/- 3480.87, N = 3SE +/- 2241.90, N = 3SE +/- 2142.15, N = 31509812751732831893754914227514481944760544793094961355610065843246621486272001697793092224619153584592225723584974109251. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read OnlyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R110K220K330K440K550KMin: 150724.14 / Avg: 150981.09 / Max: 151240.8Min: 274874.9 / Avg: 275173.32 / Max: 275523.21Min: 281583.18 / Avg: 283188.99 / Max: 285299.4Min: 373949.43 / Avg: 375491.2 / Max: 378442.89Min: 421326.32 / Avg: 422751.18 / Max: 423795.51Min: 443042.26 / Avg: 448194.42 / Max: 451234.84Min: 474618.02 / Avg: 476053.91 / Max: 477765.2Min: 475531.25 / Avg: 479308.72 / Max: 484101.72Min: 488299.95 / Avg: 496135.11 / Max: 501638.24Min: 558840.46 / Avg: 561005.84 / Max: 563720.58Min: 567149.65 / Avg: 584324.1 / Max: 593382.73Min: 655584.32 / Avg: 662147.98 / Max: 668379.25Min: 625341.73 / Avg: 627200.25 / Max: 630587.26Min: 169162.65 / Avg: 169778.88 / Max: 170395.1Min: 301122.23 / Avg: 309222.34 / Max: 313614.47Min: 455559.41 / Avg: 461914.86 / Max: 465960.07Min: 354977.57 / Avg: 358459.19 / Max: 361556.72Min: 215612.07 / Avg: 222572.26 / Max: 226179.54Min: 354752.76 / Avg: 358497.13 / Max: 362505.46Min: 407418.85 / Avg: 410924.63 / Max: 414810.241. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

Basis Universal

Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 3EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R20406080100SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 374.1041.8440.2733.3529.4627.0525.5226.2324.1921.0120.9118.9019.1661.7534.0827.3456.5982.7553.4244.081. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 3EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1632486480Min: 74.06 / Avg: 74.1 / Max: 74.14Min: 41.79 / Avg: 41.84 / Max: 41.9Min: 40.24 / Avg: 40.27 / Max: 40.32Min: 33.33 / Avg: 33.35 / Max: 33.36Min: 29.42 / Avg: 29.46 / Max: 29.5Min: 27.03 / Avg: 27.05 / Max: 27.08Min: 25.5 / Avg: 25.51 / Max: 25.53Min: 26.21 / Avg: 26.23 / Max: 26.24Min: 24.15 / Avg: 24.18 / Max: 24.21Min: 20.99 / Avg: 21.01 / Max: 21.02Min: 20.88 / Avg: 20.91 / Max: 20.95Min: 18.89 / Avg: 18.9 / Max: 18.91Min: 19.13 / Avg: 19.16 / Max: 19.18Min: 61.72 / Avg: 61.75 / Max: 61.78Min: 34.06 / Avg: 34.08 / Max: 34.11Min: 27.3 / Avg: 27.34 / Max: 27.37Min: 56.59 / Avg: 56.59 / Max: 56.6Min: 82.72 / Avg: 82.75 / Max: 82.8Min: 53.38 / Avg: 53.42 / Max: 53.45Min: 43.93 / Avg: 44.08 / Max: 44.231. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 50 - Mode: Read OnlyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R140K280K420K560K700KSE +/- 286.53, N = 3SE +/- 860.38, N = 3SE +/- 210.97, N = 3SE +/- 4015.34, N = 3SE +/- 1172.74, N = 3SE +/- 1307.57, N = 3SE +/- 1326.84, N = 3SE +/- 4360.78, N = 3SE +/- 855.42, N = 3SE +/- 538.07, N = 3SE +/- 1013.03, N = 3SE +/- 612.15, N = 3SE +/- 1659.83, N = 3SE +/- 410.57, N = 3SE +/- 760.44, N = 3SE +/- 1376.11, N = 3SE +/- 1106.83, N = 3SE +/- 1921.28, N = 10SE +/- 480.74, N = 3SE +/- 1806.05, N = 31450572639842708753566983989104336304524444545814806645363355622366335986075751611022949094352263282882090403309453662541. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 50 - Mode: Read OnlyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R110K220K330K440K550KMin: 144518.75 / Avg: 145057.16 / Max: 145496.32Min: 262374.62 / Avg: 263983.97 / Max: 265316.13Min: 270580.77 / Avg: 270875.21 / Max: 271284.17Min: 348813.87 / Avg: 356697.84 / Max: 361963.13Min: 396826.2 / Avg: 398910.04 / Max: 400884.24Min: 431757.16 / Avg: 433629.6 / Max: 436146.86Min: 450197.59 / Avg: 452444.24 / Max: 454790.64Min: 445915.12 / Avg: 454581.17 / Max: 459765.01Min: 478981.64 / Avg: 480664.49 / Max: 481772.8Min: 535427.04 / Avg: 536334.68 / Max: 537289.19Min: 560347.38 / Avg: 562236.39 / Max: 563815.25Min: 632438.66 / Avg: 633598.25 / Max: 634518.17Min: 604567.98 / Avg: 607575.16 / Max: 610296.44Min: 160460.54 / Avg: 161102.44 / Max: 161866.88Min: 294099.18 / Avg: 294908.85 / Max: 296428.63Min: 432870.8 / Avg: 435226.23 / Max: 437636.85Min: 326348.63 / Avg: 328287.73 / Max: 330182.02Min: 200501.1 / Avg: 209039.83 / Max: 215564.17Min: 330025.39 / Avg: 330944.88 / Max: 331648.02Min: 362665.19 / Avg: 366254.38 / Max: 368400.711. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 50 - Mode: Read Only - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R0.07760.15520.23280.31040.388SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.002, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.002, N = 10SE +/- 0.000, N = 3SE +/- 0.001, N = 30.3450.1900.1850.1400.1250.1160.1110.1100.1040.0930.0890.0790.0820.3110.1700.1150.1520.2390.1510.1371. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 50 - Mode: Read Only - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R12345Min: 0.34 / Avg: 0.35 / Max: 0.35Min: 0.19 / Avg: 0.19 / Max: 0.19Min: 0.18 / Avg: 0.18 / Max: 0.19Min: 0.14 / Avg: 0.14 / Max: 0.14Min: 0.13 / Avg: 0.13 / Max: 0.13Min: 0.12 / Avg: 0.12 / Max: 0.12Min: 0.11 / Avg: 0.11 / Max: 0.11Min: 0.11 / Avg: 0.11 / Max: 0.11Min: 0.1 / Avg: 0.1 / Max: 0.1Min: 0.09 / Avg: 0.09 / Max: 0.09Min: 0.09 / Avg: 0.09 / Max: 0.09Min: 0.08 / Avg: 0.08 / Max: 0.08Min: 0.08 / Avg: 0.08 / Max: 0.08Min: 0.31 / Avg: 0.31 / Max: 0.31Min: 0.17 / Avg: 0.17 / Max: 0.17Min: 0.11 / Avg: 0.12 / Max: 0.12Min: 0.15 / Avg: 0.15 / Max: 0.15Min: 0.23 / Avg: 0.24 / Max: 0.25Min: 0.15 / Avg: 0.15 / Max: 0.15Min: 0.14 / Avg: 0.14 / Max: 0.141. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read OnlyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R200K400K600K800K1000KSE +/- 751.04, N = 3SE +/- 3586.19, N = 3SE +/- 412.90, N = 3SE +/- 1956.29, N = 3SE +/- 634.95, N = 3SE +/- 1722.05, N = 3SE +/- 2812.71, N = 3SE +/- 5976.20, N = 3SE +/- 3763.31, N = 3SE +/- 774.72, N = 3SE +/- 4606.47, N = 3SE +/- 4185.25, N = 3SE +/- 2327.18, N = 3SE +/- 760.23, N = 3SE +/- 5158.94, N = 4SE +/- 5262.76, N = 3SE +/- 839.81, N = 3SE +/- 1790.48, N = 3SE +/- 3254.33, N = 3SE +/- 2885.45, N = 31801483363683450275008185822964815485063425089105376056566787015807859177575342102143949676345614535082810164642255947171. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read OnlyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R140K280K420K560K700KMin: 178655.05 / Avg: 180147.65 / Max: 181039.86Min: 329201.77 / Avg: 336367.81 / Max: 340212.2Min: 344295.55 / Avg: 345027.02 / Max: 345724.67Min: 497670.11 / Avg: 500818.18 / Max: 504404.28Min: 581229 / Avg: 582296.11 / Max: 583425.84Min: 478206.73 / Avg: 481547.66 / Max: 483942.66Min: 500795.59 / Avg: 506341.5 / Max: 509930.62Min: 502276.92 / Avg: 508909.53 / Max: 520836.94Min: 533339.97 / Avg: 537605.07 / Max: 545108.31Min: 655132.62 / Avg: 656678.07 / Max: 657547.1Min: 696000.94 / Avg: 701579.61 / Max: 710718.54Min: 780235.38 / Avg: 785916.8 / Max: 794081.04Min: 753723.52 / Avg: 757534.07 / Max: 761753.9Min: 208973.57 / Avg: 210214.04 / Max: 211595.71Min: 385982.64 / Avg: 394967.22 / Max: 408822.68Min: 624142.08 / Avg: 634561 / Max: 641064.42Min: 451886.94 / Avg: 453507.96 / Max: 454699.33Min: 278454.44 / Avg: 281016.36 / Max: 284464.09Min: 457761.21 / Avg: 464225.12 / Max: 468116.85Min: 590342.07 / Avg: 594717.02 / Max: 600163.691. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read Only - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R0.07450.1490.22350.2980.3725SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.004, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.3310.1820.1770.1330.1180.1120.1050.1040.1010.0890.0850.0760.0800.2950.1620.1080.1390.2250.1400.1221. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read Only - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R12345Min: 0.33 / Avg: 0.33 / Max: 0.33Min: 0.18 / Avg: 0.18 / Max: 0.18Min: 0.18 / Avg: 0.18 / Max: 0.18Min: 0.13 / Avg: 0.13 / Max: 0.13Min: 0.12 / Avg: 0.12 / Max: 0.12Min: 0.11 / Avg: 0.11 / Max: 0.11Min: 0.11 / Avg: 0.11 / Max: 0.11Min: 0.1 / Avg: 0.1 / Max: 0.11Min: 0.1 / Avg: 0.1 / Max: 0.1Min: 0.09 / Avg: 0.09 / Max: 0.09Min: 0.08 / Avg: 0.09 / Max: 0.09Min: 0.08 / Avg: 0.08 / Max: 0.08Min: 0.08 / Avg: 0.08 / Max: 0.08Min: 0.29 / Avg: 0.29 / Max: 0.3Min: 0.16 / Avg: 0.16 / Max: 0.17Min: 0.11 / Avg: 0.11 / Max: 0.11Min: 0.14 / Avg: 0.14 / Max: 0.14Min: 0.22 / Avg: 0.22 / Max: 0.23Min: 0.14 / Avg: 0.14 / Max: 0.14Min: 0.12 / Avg: 0.12 / Max: 0.121. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R0.06260.12520.18780.25040.313SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 4SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.2780.1490.1450.1000.0860.1040.0990.0980.0930.0760.0710.0640.0660.2380.1270.0790.1100.1780.1080.0841. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R12345Min: 0.28 / Avg: 0.28 / Max: 0.28Min: 0.15 / Avg: 0.15 / Max: 0.15Min: 0.15 / Avg: 0.15 / Max: 0.15Min: 0.1 / Avg: 0.1 / Max: 0.1Min: 0.09 / Avg: 0.09 / Max: 0.09Min: 0.1 / Avg: 0.1 / Max: 0.11Min: 0.1 / Avg: 0.1 / Max: 0.1Min: 0.1 / Avg: 0.1 / Max: 0.1Min: 0.09 / Avg: 0.09 / Max: 0.09Min: 0.08 / Avg: 0.08 / Max: 0.08Min: 0.07 / Avg: 0.07 / Max: 0.07Min: 0.06 / Avg: 0.06 / Max: 0.06Min: 0.07 / Avg: 0.07 / Max: 0.07Min: 0.24 / Avg: 0.24 / Max: 0.24Min: 0.12 / Avg: 0.13 / Max: 0.13Min: 0.08 / Avg: 0.08 / Max: 0.08Min: 0.11 / Avg: 0.11 / Max: 0.11Min: 0.18 / Avg: 0.18 / Max: 0.18Min: 0.11 / Avg: 0.11 / Max: 0.11Min: 0.08 / Avg: 0.08 / Max: 0.091. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R246810SE +/- 0.04339, N = 3SE +/- 0.04343, N = 3SE +/- 0.02456, N = 3SE +/- 0.03746, N = 3SE +/- 0.04479, N = 3SE +/- 0.01735, N = 3SE +/- 0.00219, N = 3SE +/- 0.00908, N = 3SE +/- 0.00481, N = 3SE +/- 0.03050, N = 3SE +/- 0.00537, N = 3SE +/- 0.02396, N = 15SE +/- 0.03138, N = 3SE +/- 0.04864, N = 8SE +/- 0.01584, N = 3SE +/- 0.01454, N = 3SE +/- 0.05872, N = 3SE +/- 0.01439, N = 3SE +/- 0.01033, N = 3SE +/- 0.01221, N = 36.553946.110902.964053.304382.960373.160252.826061.950773.226632.144901.515462.264382.711214.601992.165982.044095.333996.193264.733334.343361. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215Min: 6.47 / Avg: 6.55 / Max: 6.61Min: 6.02 / Avg: 6.11 / Max: 6.16Min: 2.94 / Avg: 2.96 / Max: 3.01Min: 3.26 / Avg: 3.3 / Max: 3.38Min: 2.89 / Avg: 2.96 / Max: 3.04Min: 3.13 / Avg: 3.16 / Max: 3.18Min: 2.82 / Avg: 2.83 / Max: 2.83Min: 1.94 / Avg: 1.95 / Max: 1.97Min: 3.22 / Avg: 3.23 / Max: 3.23Min: 2.09 / Avg: 2.14 / Max: 2.19Min: 1.51 / Avg: 1.52 / Max: 1.53Min: 2.1 / Avg: 2.26 / Max: 2.37Min: 2.65 / Avg: 2.71 / Max: 2.75Min: 4.49 / Avg: 4.6 / Max: 4.92Min: 2.14 / Avg: 2.17 / Max: 2.2Min: 2.02 / Avg: 2.04 / Max: 2.06Min: 5.26 / Avg: 5.33 / Max: 5.45Min: 6.18 / Avg: 6.19 / Max: 6.22Min: 4.72 / Avg: 4.73 / Max: 4.75Min: 4.33 / Avg: 4.34 / Max: 4.371. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 1.2.0Scene: MemorialEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R612182430SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.19, N = 3SE +/- 0.14, N = 6SE +/- 0.16, N = 15SE +/- 0.28, N = 3SE +/- 0.28, N = 4SE +/- 0.21, N = 4SE +/- 0.23, N = 3SE +/- 0.07, N = 3SE +/- 0.25, N = 15SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 36.4911.0611.5413.0014.5716.8319.6014.9119.8724.7023.6627.5327.417.6613.8418.5514.5610.8918.0325.22
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R612182430Min: 6.46 / Avg: 6.49 / Max: 6.51Min: 10.99 / Avg: 11.06 / Max: 11.12Min: 11.19 / Avg: 11.54 / Max: 11.82Min: 12.45 / Avg: 13 / Max: 13.55Min: 13.77 / Avg: 14.57 / Max: 15.9Min: 16.43 / Avg: 16.83 / Max: 17.36Min: 18.81 / Avg: 19.6 / Max: 20.07Min: 14.66 / Avg: 14.91 / Max: 15.55Min: 19.63 / Avg: 19.87 / Max: 20.32Min: 24.56 / Avg: 24.7 / Max: 24.8Min: 22 / Avg: 23.66 / Max: 25.03Min: 27.42 / Avg: 27.53 / Max: 27.62Min: 27.34 / Avg: 27.41 / Max: 27.46Min: 7.63 / Avg: 7.66 / Max: 7.7Min: 13.83 / Avg: 13.84 / Max: 13.84Min: 18.53 / Avg: 18.55 / Max: 18.57Min: 14.53 / Avg: 14.56 / Max: 14.58Min: 10.85 / Avg: 10.89 / Max: 10.92Min: 17.98 / Avg: 18.03 / Max: 18.09Min: 25.02 / Avg: 25.22 / Max: 25.43

Coremark

This is a test of EEMBC CoreMark processor benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R300K600K900K1200K1500KSE +/- 309.16, N = 3SE +/- 430.91, N = 3SE +/- 3058.86, N = 3SE +/- 1079.01, N = 3SE +/- 4296.32, N = 3SE +/- 5097.39, N = 3SE +/- 3413.67, N = 3SE +/- 10861.25, N = 3SE +/- 5237.13, N = 3SE +/- 1097.23, N = 3SE +/- 913.29, N = 3SE +/- 315.40, N = 3SE +/- 2361.14, N = 3SE +/- 254.64, N = 3SE +/- 518.02, N = 3SE +/- 5088.42, N = 3SE +/- 1918.86, N = 3SE +/- 273.07, N = 3SE +/- 506.08, N = 3SE +/- 3949.85, N = 3298347.30582430.67609406.36798236.46890248.99881494.06934407.24908073.32952974.531171853.211188218.251177095.851146666.31359429.77709203.15989555.86429816.49280653.05447418.01576535.121. (CC) gcc options: -O2 -lrt" -lrt
OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R200K400K600K800K1000KMin: 297808.32 / Avg: 298347.3 / Max: 298879.2Min: 581641.93 / Avg: 582430.67 / Max: 583125.8Min: 603299.29 / Avg: 609406.36 / Max: 612772.48Min: 796085.91 / Avg: 798236.46 / Max: 799467.02Min: 885649.71 / Avg: 890248.99 / Max: 898834.32Min: 871341.05 / Avg: 881494.06 / Max: 887368.86Min: 929332.04 / Avg: 934407.24 / Max: 940899.74Min: 892857.14 / Avg: 908073.32 / Max: 929107.19Min: 942516.32 / Avg: 952974.53 / Max: 958705.75Min: 1169875.7 / Avg: 1171853.21 / Max: 1173665.87Min: 1186870.25 / Avg: 1188218.25 / Max: 1189959.71Min: 1176470.59 / Avg: 1177095.85 / Max: 1177480.68Min: 1142381.15 / Avg: 1146666.31 / Max: 1150527.33Min: 359120.16 / Avg: 359429.77 / Max: 359934.76Min: 708199.62 / Avg: 709203.15 / Max: 709927.9Min: 982197.67 / Avg: 989555.86 / Max: 999323.37Min: 427655.02 / Avg: 429816.49 / Max: 433643.51Min: 280118.17 / Avg: 280653.05 / Max: 281016.05Min: 446459.71 / Avg: 447418.01 / Max: 448179.27Min: 572194.9 / Avg: 576535.12 / Max: 584421.511. (CC) gcc options: -O2 -lrt" -lrt

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R0.47620.95241.42861.90482.381SE +/- 0.006472, N = 3SE +/- 0.005483, N = 3SE +/- 0.009798, N = 15SE +/- 0.006121, N = 3SE +/- 0.003662, N = 3SE +/- 0.003436, N = 3SE +/- 0.003266, N = 3SE +/- 0.004547, N = 3SE +/- 0.000576, N = 3SE +/- 0.051492, N = 12SE +/- 0.007556, N = 9SE +/- 0.002637, N = 3SE +/- 0.001105, N = 3SE +/- 0.015210, N = 3SE +/- 0.005635, N = 3SE +/- 0.002349, N = 3SE +/- 0.006768, N = 3SE +/- 0.004177, N = 3SE +/- 0.001138, N = 3SE +/- 0.005408, N = 31.8437601.1750901.0845000.8613710.7495340.7385080.7028690.6363350.5394350.6823530.8003770.5084480.6245601.4961900.6926610.5517211.5428302.1165601.2267800.9577371. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R246810Min: 1.84 / Avg: 1.84 / Max: 1.86Min: 1.17 / Avg: 1.18 / Max: 1.19Min: 1.03 / Avg: 1.08 / Max: 1.21Min: 0.85 / Avg: 0.86 / Max: 0.87Min: 0.75 / Avg: 0.75 / Max: 0.76Min: 0.73 / Avg: 0.74 / Max: 0.74Min: 0.7 / Avg: 0.7 / Max: 0.71Min: 0.63 / Avg: 0.64 / Max: 0.65Min: 0.54 / Avg: 0.54 / Max: 0.54Min: 0.54 / Avg: 0.68 / Max: 0.95Min: 0.76 / Avg: 0.8 / Max: 0.83Min: 0.5 / Avg: 0.51 / Max: 0.51Min: 0.62 / Avg: 0.62 / Max: 0.63Min: 1.48 / Avg: 1.5 / Max: 1.53Min: 0.68 / Avg: 0.69 / Max: 0.7Min: 0.55 / Avg: 0.55 / Max: 0.56Min: 1.53 / Avg: 1.54 / Max: 1.55Min: 2.11 / Avg: 2.12 / Max: 2.12Min: 1.22 / Avg: 1.23 / Max: 1.23Min: 0.95 / Avg: 0.96 / Max: 0.971. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Facebook RocksDB

This is a benchmark of Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random FillEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R200K400K600K800K1000KSE +/- 3588.14, N = 3SE +/- 5123.67, N = 15SE +/- 7847.93, N = 3SE +/- 10655.38, N = 3SE +/- 9550.05, N = 3SE +/- 1199.71, N = 3SE +/- 1228.44, N = 3SE +/- 2603.10, N = 10SE +/- 705.84, N = 3SE +/- 205.06, N = 3SE +/- 410.21, N = 3SE +/- 624.03, N = 3SE +/- 693.28, N = 3SE +/- 827.11, N = 3SE +/- 6470.90, N = 15SE +/- 9089.41, N = 3SE +/- 5031.68, N = 3SE +/- 3470.33, N = 3SE +/- 2518.11, N = 3SE +/- 14101.02, N = 54229476278965859396540627175253218713452922760103674513058162756613076542890904637865808276864611140919854569112572711415701. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random FillEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R200K400K600K800K1000KMin: 418463 / Avg: 422946.67 / Max: 430041Min: 603579 / Avg: 627896.27 / Max: 685131Min: 576271 / Avg: 585938.67 / Max: 601481Min: 632768 / Avg: 654062 / Max: 665441Min: 705450 / Avg: 717525.33 / Max: 736379Min: 320633 / Avg: 321871 / Max: 324270Min: 343235 / Avg: 345292 / Max: 347484Min: 269185 / Avg: 276009.6 / Max: 288606Min: 366463 / Avg: 367450.67 / Max: 368818Min: 305412 / Avg: 305816.33 / Max: 306078Min: 274953 / Avg: 275661.33 / Max: 276374Min: 306827 / Avg: 307654 / Max: 308877Min: 287733 / Avg: 289089.67 / Max: 290016Min: 462912 / Avg: 463785.67 / Max: 465439Min: 542172 / Avg: 580827.13 / Max: 616282Min: 674470 / Avg: 686460.67 / Max: 704289Min: 1133994 / Avg: 1140919 / Max: 1150705Min: 848743 / Avg: 854569.33 / Max: 860749Min: 1121109 / Avg: 1125727.33 / Max: 1129776Min: 1119777 / Avg: 1141569.8 / Max: 11968451. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

FFTE

FFTE is a package by Daisuke Takahashi to compute Discrete Fourier Transforms of 1-, 2- and 3- dimensional sequences of length (2^p)*(3^q)*(5^r). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R30K60K90K120K150KSE +/- 219.73, N = 3SE +/- 120.56, N = 3SE +/- 106.02, N = 3SE +/- 473.52, N = 3SE +/- 334.89, N = 3SE +/- 1254.13, N = 3SE +/- 1104.18, N = 12SE +/- 554.28, N = 3SE +/- 293.15, N = 3SE +/- 252.72, N = 3SE +/- 1908.61, N = 3SE +/- 1672.04, N = 8SE +/- 2123.40, N = 3SE +/- 68.82, N = 3SE +/- 155.57, N = 3SE +/- 242.78, N = 3SE +/- 164.53, N = 3SE +/- 61.02, N = 3SE +/- 133.48, N = 3SE +/- 86.41, N = 344076.8176405.2784934.7191394.81109971.98124083.95133908.92135022.21143497.18138431.07150648.47160887.39134685.9652650.7598750.37121525.1359157.3538913.6561107.5569293.331. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R30K60K90K120K150KMin: 43682.07 / Avg: 44076.81 / Max: 44441.44Min: 76247.66 / Avg: 76405.27 / Max: 76642.11Min: 84763.98 / Avg: 84934.71 / Max: 85128.98Min: 90617.8 / Avg: 91394.81 / Max: 92252.2Min: 109341.81 / Avg: 109971.98 / Max: 110483.57Min: 121594.51 / Avg: 124083.95 / Max: 125594.29Min: 121806.39 / Avg: 133908.92 / Max: 135449.55Min: 134245.38 / Avg: 135022.21 / Max: 136095.53Min: 142929.16 / Avg: 143497.18 / Max: 143906.96Min: 137948.8 / Avg: 138431.07 / Max: 138803.22Min: 148564.98 / Avg: 150648.47 / Max: 154460.18Min: 158223.44 / Avg: 160887.39 / Max: 172237.35Min: 130680.76 / Avg: 134685.96 / Max: 137911.4Min: 52530.46 / Avg: 52650.75 / Max: 52768.82Min: 98547.12 / Avg: 98750.37 / Max: 99056.01Min: 121274.35 / Avg: 121525.13 / Max: 122010.6Min: 58978.11 / Avg: 59157.35 / Max: 59485.97Min: 38847.92 / Avg: 38913.65 / Max: 39035.56Min: 60846.78 / Avg: 61107.55 / Max: 61287.49Min: 69137.41 / Avg: 69293.33 / Max: 69435.821. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

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: Disney MaterialEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R60120180240300295.86165.05160.86128.78113.4699.7892.6497.1087.9075.7776.2271.6571.67235.47131.51100.63198.32290.48183.82161.10

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R246810SE +/- 0.05423, N = 3SE +/- 0.02067, N = 3SE +/- 0.04327, N = 3SE +/- 0.06679, N = 15SE +/- 0.04434, N = 15SE +/- 0.00870, N = 3SE +/- 0.01261, N = 3SE +/- 0.02569, N = 3SE +/- 0.02667, N = 4SE +/- 0.02668, N = 4SE +/- 0.02366, N = 15SE +/- 0.02420, N = 3SE +/- 0.01714, N = 3SE +/- 0.22388, N = 15SE +/- 0.00914, N = 3SE +/- 0.00245, N = 3SE +/- 0.00529, N = 3SE +/- 0.01043, N = 3SE +/- 0.00241, N = 3SE +/- 0.00419, N = 37.796003.149912.974252.999772.471902.106731.962992.258911.893862.027851.925901.959352.558434.813722.435531.994545.034416.573263.850382.140301. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215Min: 7.71 / Avg: 7.8 / Max: 7.9Min: 3.11 / Avg: 3.15 / Max: 3.18Min: 2.89 / Avg: 2.97 / Max: 3.04Min: 2.71 / Avg: 3 / Max: 3.68Min: 2.23 / Avg: 2.47 / Max: 2.82Min: 2.09 / Avg: 2.11 / Max: 2.12Min: 1.95 / Avg: 1.96 / Max: 1.99Min: 2.22 / Avg: 2.26 / Max: 2.31Min: 1.85 / Avg: 1.89 / Max: 1.96Min: 1.97 / Avg: 2.03 / Max: 2.09Min: 1.79 / Avg: 1.93 / Max: 2.13Min: 1.91 / Avg: 1.96 / Max: 1.99Min: 2.53 / Avg: 2.56 / Max: 2.58Min: 4.51 / Avg: 4.81 / Max: 7.94Min: 2.42 / Avg: 2.44 / Max: 2.45Min: 1.99 / Avg: 1.99 / Max: 2Min: 5.02 / Avg: 5.03 / Max: 5.04Min: 6.55 / Avg: 6.57 / Max: 6.59Min: 3.85 / Avg: 3.85 / Max: 3.85Min: 2.13 / Avg: 2.14 / Max: 2.151. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: f32 - Engine: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R20406080100SE +/- 0.49, N = 3SE +/- 0.80, N = 15SE +/- 0.21, N = 3SE +/- 0.13, N = 3SE +/- 0.34, N = 3SE +/- 0.66, N = 4SE +/- 0.25, N = 3SE +/- 2.20, N = 12SE +/- 0.48, N = 15SE +/- 0.61, N = 12SE +/- 0.23, N = 15SE +/- 0.21, N = 15SE +/- 0.37, N = 3SE +/- 0.11, N = 3SE +/- 0.37, N = 4SE +/- 0.40, N = 15SE +/- 0.22, N = 3SE +/- 0.20, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 366.8950.1134.2835.7029.5645.8321.9530.8726.8523.3018.9720.1121.5954.8127.9527.3255.4976.8243.0428.771. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: f32 - Engine: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1530456075Min: 66.25 / Avg: 66.89 / Max: 67.85Min: 44.96 / Avg: 50.11 / Max: 56.21Min: 33.87 / Avg: 34.28 / Max: 34.57Min: 35.47 / Avg: 35.7 / Max: 35.93Min: 29.08 / Avg: 29.56 / Max: 30.22Min: 43.96 / Avg: 45.83 / Max: 47.03Min: 21.63 / Avg: 21.95 / Max: 22.43Min: 22.93 / Avg: 30.87 / Max: 52.08Min: 24.74 / Avg: 26.85 / Max: 30.62Min: 20.54 / Avg: 23.3 / Max: 27.57Min: 17.81 / Avg: 18.97 / Max: 20.22Min: 18.88 / Avg: 20.11 / Max: 21.3Min: 20.85 / Avg: 21.59 / Max: 21.96Min: 54.67 / Avg: 54.81 / Max: 55.02Min: 27.11 / Avg: 27.95 / Max: 28.77Min: 23.37 / Avg: 27.32 / Max: 28.84Min: 55.25 / Avg: 55.49 / Max: 55.94Min: 76.52 / Avg: 76.82 / Max: 77.21Min: 42.96 / Avg: 43.04 / Max: 43.11Min: 28.74 / Avg: 28.77 / Max: 28.811. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Zstd Compression

This test measures the time needed to compress a sample file (an Ubuntu ISO) using Zstd compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R306090120150SE +/- 0.12, N = 3SE +/- 0.15, N = 3SE +/- 0.07, N = 3SE +/- 0.44, N = 3SE +/- 0.17, N = 3SE +/- 0.15, N = 3SE +/- 0.20, N = 3SE +/- 0.54, N = 3SE +/- 0.35, N = 3SE +/- 0.61, N = 3SE +/- 0.77, N = 3SE +/- 0.61, N = 3SE +/- 1.18, N = 3SE +/- 0.13, N = 3SE +/- 0.23, N = 3SE +/- 0.09, N = 3SE +/- 0.49, N = 3SE +/- 0.07, N = 3SE +/- 0.52, N = 3SE +/- 0.21, N = 336.064.571.389.792.9108.9110.5116.8109.1122.1125.0139.2126.643.580.9101.174.444.275.980.61. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R306090120150Min: 35.8 / Avg: 36 / Max: 36.2Min: 64.3 / Avg: 64.53 / Max: 64.8Min: 71.2 / Avg: 71.33 / Max: 71.4Min: 88.8 / Avg: 89.67 / Max: 90.2Min: 92.7 / Avg: 92.87 / Max: 93.2Min: 108.7 / Avg: 108.93 / Max: 109.2Min: 110.3 / Avg: 110.5 / Max: 110.9Min: 115.8 / Avg: 116.83 / Max: 117.6Min: 108.6 / Avg: 109.13 / Max: 109.8Min: 121 / Avg: 122.13 / Max: 123.1Min: 123.9 / Avg: 125.03 / Max: 126.5Min: 138 / Avg: 139.2 / Max: 140Min: 124.2 / Avg: 126.57 / Max: 127.8Min: 43.4 / Avg: 43.53 / Max: 43.8Min: 80.5 / Avg: 80.9 / Max: 81.3Min: 100.9 / Avg: 101.07 / Max: 101.2Min: 73.6 / Avg: 74.4 / Max: 75.3Min: 44.1 / Avg: 44.23 / Max: 44.3Min: 74.9 / Avg: 75.93 / Max: 76.5Min: 80.3 / Avg: 80.6 / Max: 811. (CC) gcc options: -O3 -pthread -lz -llzma

SVT-AV1

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-AV1 CPU-based multi-threaded video encoder for the AV1 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R20406080100SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.24, N = 3SE +/- 0.13, N = 3SE +/- 0.13, N = 3SE +/- 0.17, N = 3SE +/- 0.32, N = 3SE +/- 0.46, N = 3SE +/- 0.32, N = 3SE +/- 0.32, N = 3SE +/- 0.11, N = 3SE +/- 0.14, N = 3SE +/- 0.01, N = 3SE +/- 0.13, N = 3SE +/- 0.21, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.16, N = 3SE +/- 0.17, N = 320.5834.0934.9746.4752.5553.2756.0053.4258.0659.0360.0779.5275.4923.5038.8857.3728.1521.4228.8636.391. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1530456075Min: 20.51 / Avg: 20.58 / Max: 20.64Min: 33.99 / Avg: 34.09 / Max: 34.19Min: 34.78 / Avg: 34.97 / Max: 35.1Min: 46.14 / Avg: 46.47 / Max: 46.94Min: 52.41 / Avg: 52.55 / Max: 52.81Min: 53.02 / Avg: 53.27 / Max: 53.46Min: 55.76 / Avg: 56 / Max: 56.32Min: 52.81 / Avg: 53.42 / Max: 53.91Min: 57.42 / Avg: 58.06 / Max: 58.94Min: 58.58 / Avg: 59.03 / Max: 59.65Min: 59.46 / Avg: 60.07 / Max: 60.53Min: 79.31 / Avg: 79.52 / Max: 79.64Min: 75.26 / Avg: 75.49 / Max: 75.74Min: 23.49 / Avg: 23.5 / Max: 23.53Min: 38.63 / Avg: 38.88 / Max: 39.04Min: 56.98 / Avg: 57.37 / Max: 57.71Min: 28.07 / Avg: 28.15 / Max: 28.19Min: 21.29 / Avg: 21.42 / Max: 21.51Min: 28.57 / Avg: 28.86 / Max: 29.13Min: 36.2 / Avg: 36.38 / Max: 36.731. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

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 1.4Time To CompileEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1224364860SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 346.7327.1624.5821.4419.0117.8716.9116.9416.0914.4414.2113.4413.6136.7820.7717.2934.1951.3932.6327.86
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.4Time To CompileEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1020304050Min: 46.7 / Avg: 46.73 / Max: 46.78Min: 27.07 / Avg: 27.15 / Max: 27.25Min: 24.53 / Avg: 24.57 / Max: 24.64Min: 21.4 / Avg: 21.44 / Max: 21.5Min: 18.97 / Avg: 19.01 / Max: 19.04Min: 17.84 / Avg: 17.87 / Max: 17.89Min: 16.84 / Avg: 16.91 / Max: 17Min: 16.89 / Avg: 16.94 / Max: 16.98Min: 16.01 / Avg: 16.09 / Max: 16.14Min: 14.36 / Avg: 14.43 / Max: 14.5Min: 14.18 / Avg: 14.21 / Max: 14.23Min: 13.4 / Avg: 13.44 / Max: 13.49Min: 13.56 / Avg: 13.61 / Max: 13.68Min: 36.73 / Avg: 36.78 / Max: 36.82Min: 20.74 / Avg: 20.77 / Max: 20.81Min: 17.2 / Avg: 17.29 / Max: 17.42Min: 34.11 / Avg: 34.19 / Max: 34.24Min: 51.37 / Avg: 51.39 / Max: 51.43Min: 32.5 / Avg: 32.63 / Max: 32.7Min: 27.85 / Avg: 27.86 / Max: 27.88

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R4080120160200SE +/- 1.14, N = 3SE +/- 0.69, N = 3SE +/- 0.38, N = 3SE +/- 0.03, N = 3SE +/- 0.31, N = 3SE +/- 0.41, N = 3SE +/- 0.46, N = 3SE +/- 0.20, N = 3SE +/- 0.27, N = 3SE +/- 0.57, N = 4SE +/- 0.45, N = 8SE +/- 0.24, N = 3SE +/- 0.79, N = 4SE +/- 0.14, N = 3SE +/- 0.99, N = 3SE +/- 0.14, N = 3SE +/- 0.21, N = 3SE +/- 2.29, N = 12SE +/- 0.79, N = 3SE +/- 0.87, N = 3153.13100.9997.0268.3460.5660.5457.4059.4756.1946.4545.3645.0554.35133.1087.1855.04136.87172.19125.27108.881. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R306090120150Min: 151.63 / Avg: 153.13 / Max: 155.37Min: 99.65 / Avg: 100.98 / Max: 101.96Min: 96.64 / Avg: 97.02 / Max: 97.77Min: 68.29 / Avg: 68.34 / Max: 68.38Min: 59.94 / Avg: 60.56 / Max: 60.89Min: 60 / Avg: 60.54 / Max: 61.33Min: 56.58 / Avg: 57.4 / Max: 58.17Min: 59.21 / Avg: 59.47 / Max: 59.87Min: 55.69 / Avg: 56.19 / Max: 56.63Min: 45.49 / Avg: 46.44 / Max: 48.06Min: 44.01 / Avg: 45.35 / Max: 48.12Min: 44.57 / Avg: 45.05 / Max: 45.32Min: 53.22 / Avg: 54.35 / Max: 56.65Min: 132.94 / Avg: 133.1 / Max: 133.37Min: 85.23 / Avg: 87.18 / Max: 88.43Min: 54.79 / Avg: 55.04 / Max: 55.29Min: 136.45 / Avg: 136.87 / Max: 137.15Min: 167.91 / Avg: 172.19 / Max: 197.18Min: 123.72 / Avg: 125.27 / Max: 126.34Min: 107.57 / Avg: 108.88 / Max: 110.521. (CXX) g++ options: -O2 -lOpenCL

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R714212835SE +/- 0.07, N = 4SE +/- 0.06, N = 3SE +/- 0.14, N = 3SE +/- 0.10, N = 15SE +/- 0.02, N = 3SE +/- 0.35, N = 3SE +/- 0.53, N = 3SE +/- 0.41, N = 3SE +/- 0.13, N = 8SE +/- 1.64, N = 3SE +/- 0.32, N = 3SE +/- 1.57, N = 3SE +/- 1.87, N = 3SE +/- 0.13, N = 3SE +/- 0.06, N = 10SE +/- 0.08, N = 3SE +/- 0.11, N = 3SE +/- 0.04, N = 3SE +/- 0.19, N = 3SE +/- 0.03, N = 312.469.2011.0613.1710.6712.6212.9615.7112.1219.7119.1525.6131.3610.3211.1311.889.158.249.728.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R714212835Min: 12.33 / Avg: 12.46 / Max: 12.67Min: 9.12 / Avg: 9.2 / Max: 9.32Min: 10.85 / Avg: 11.06 / Max: 11.34Min: 12.46 / Avg: 13.17 / Max: 13.76Min: 10.65 / Avg: 10.67 / Max: 10.72Min: 12.23 / Avg: 12.62 / Max: 13.31Min: 11.95 / Avg: 12.96 / Max: 13.73Min: 15.22 / Avg: 15.71 / Max: 16.53Min: 11.88 / Avg: 12.12 / Max: 12.99Min: 17.57 / Avg: 19.71 / Max: 22.93Min: 18.51 / Avg: 19.15 / Max: 19.55Min: 23.45 / Avg: 25.61 / Max: 28.65Min: 28.68 / Avg: 31.36 / Max: 34.96Min: 10.15 / Avg: 10.32 / Max: 10.58Min: 10.85 / Avg: 11.13 / Max: 11.43Min: 11.74 / Avg: 11.88 / Max: 12.02Min: 9.02 / Avg: 9.15 / Max: 9.36Min: 8.19 / Avg: 8.24 / Max: 8.32Min: 9.4 / Avg: 9.72 / Max: 10.05Min: 8.75 / Avg: 8.78 / Max: 8.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: AtomicEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R110K220K330K440K550KSE +/- 988.10, N = 3SE +/- 1069.53, N = 3SE +/- 387.43, N = 3SE +/- 153.43, N = 3SE +/- 5200.29, N = 3SE +/- 3875.11, N = 3SE +/- 4653.97, N = 3SE +/- 526.59, N = 3SE +/- 5397.86, N = 3SE +/- 2254.42, N = 3SE +/- 2100.86, N = 3SE +/- 1968.01, N = 3SE +/- 1889.52, N = 3SE +/- 151.23, N = 3SE +/- 454.86, N = 3SE +/- 296.51, N = 3SE +/- 1855.08, N = 3SE +/- 275.14, N = 3SE +/- 684.29, N = 3SE +/- 1602.99, N = 3289487.99394488.53337766.57387954.79434178.88400360.82406722.26335428.63408037.40399369.85424385.84403206.36402875.35509178.11509785.83365769.88134316.21181068.06134703.69160824.551. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: AtomicEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R90K180K270K360K450KMin: 287852.67 / Avg: 289487.99 / Max: 291266.56Min: 392385.92 / Avg: 394488.53 / Max: 395880.4Min: 337027.91 / Avg: 337766.57 / Max: 338338.6Min: 387663.63 / Avg: 387954.79 / Max: 388184.29Min: 424348.06 / Avg: 434178.88 / Max: 442034.56Min: 392650.92 / Avg: 400360.82 / Max: 404899.47Min: 397939.88 / Avg: 406722.26 / Max: 413783.79Min: 334600.86 / Avg: 335428.63 / Max: 336406.41Min: 398157.78 / Avg: 408037.4 / Max: 416746.25Min: 395001.31 / Avg: 399369.85 / Max: 402520.6Min: 420677.52 / Avg: 424385.84 / Max: 427950.88Min: 399300.05 / Avg: 403206.36 / Max: 405577.63Min: 399272.4 / Avg: 402875.35 / Max: 405664.23Min: 508921.37 / Avg: 509178.11 / Max: 509444.95Min: 509318.56 / Avg: 509785.83 / Max: 510695.43Min: 365364.92 / Avg: 365769.88 / Max: 366347.54Min: 130647.79 / Avg: 134316.21 / Max: 136631.01Min: 180521.84 / Avg: 181068.06 / Max: 181398.97Min: 133901.64 / Avg: 134703.69 / Max: 136065.08Min: 157692.25 / Avg: 160824.55 / Max: 162982.551. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

Smallpt

Smallpt is a C++ global illumination renderer written in less than 100 lines of code. Global illumination is done via unbiased Monte Carlo path tracing and there is multi-threading support via the OpenMP library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSmallpt 1.0Global Illumination Renderer; 128 SamplesEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R714212835SE +/- 0.098, N = 3SE +/- 0.093, N = 3SE +/- 0.225, N = 15SE +/- 0.011, N = 3SE +/- 0.033, N = 3SE +/- 0.003, N = 3SE +/- 0.243, N = 12SE +/- 0.423, N = 15SE +/- 0.023, N = 3SE +/- 0.038, N = 3SE +/- 0.008, N = 3SE +/- 0.018, N = 3SE +/- 0.008, N = 3SE +/- 0.028, N = 3SE +/- 0.215, N = 3SE +/- 0.078, N = 3SE +/- 0.501, N = 3SE +/- 0.401, N = 3SE +/- 0.363, N = 15SE +/- 0.426, N = 1518.87113.49514.75113.75213.43912.75012.39114.08112.67212.13813.24111.0907.85918.89917.37414.78129.68124.89028.43226.5921. (CXX) g++ options: -fopenmp -O3
OpenBenchmarking.orgSeconds, Fewer Is BetterSmallpt 1.0Global Illumination Renderer; 128 SamplesEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R714212835Min: 18.73 / Avg: 18.87 / Max: 19.06Min: 13.39 / Avg: 13.5 / Max: 13.68Min: 12.55 / Avg: 14.75 / Max: 15.22Min: 13.74 / Avg: 13.75 / Max: 13.77Min: 13.4 / Avg: 13.44 / Max: 13.5Min: 12.74 / Avg: 12.75 / Max: 12.75Min: 9.72 / Avg: 12.39 / Max: 12.67Min: 10.76 / Avg: 14.08 / Max: 14.97Min: 12.64 / Avg: 12.67 / Max: 12.72Min: 12.06 / Avg: 12.14 / Max: 12.18Min: 13.23 / Avg: 13.24 / Max: 13.26Min: 11.05 / Avg: 11.09 / Max: 11.12Min: 7.85 / Avg: 7.86 / Max: 7.87Min: 18.84 / Avg: 18.9 / Max: 18.93Min: 16.95 / Avg: 17.37 / Max: 17.59Min: 14.69 / Avg: 14.78 / Max: 14.94Min: 28.9 / Avg: 29.68 / Max: 30.61Min: 24.21 / Avg: 24.89 / Max: 25.6Min: 26.18 / Avg: 28.43 / Max: 31.2Min: 23.61 / Avg: 26.59 / Max: 29.081. (CXX) g++ options: -fopenmp -O3

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R20406080100SE +/- 0.82, N = 3SE +/- 0.73, N = 3SE +/- 0.75, N = 4SE +/- 0.85, N = 3SE +/- 0.74, N = 3SE +/- 0.51, N = 5SE +/- 0.50, N = 5SE +/- 0.44, N = 3SE +/- 0.41, N = 6SE +/- 0.34, N = 8SE +/- 0.32, N = 8SE +/- 0.29, N = 9SE +/- 0.29, N = 9SE +/- 0.59, N = 3SE +/- 0.61, N = 3SE +/- 0.66, N = 3SE +/- 0.96, N = 3SE +/- 0.53, N = 3SE +/- 0.82, N = 3SE +/- 0.73, N = 3107.0961.9556.2650.1144.0941.1238.6839.1436.5232.1731.9329.4629.7185.4546.9839.4773.33108.6669.4758.96
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R20406080100Min: 105.98 / Avg: 107.09 / Max: 108.69Min: 60.99 / Avg: 61.95 / Max: 63.38Min: 55.06 / Avg: 56.26 / Max: 58.43Min: 49.19 / Avg: 50.11 / Max: 51.82Min: 43.31 / Avg: 44.09 / Max: 45.57Min: 40.52 / Avg: 41.12 / Max: 43.17Min: 38.07 / Avg: 38.68 / Max: 40.67Min: 38.68 / Avg: 39.14 / Max: 40.01Min: 36.06 / Avg: 36.52 / Max: 38.57Min: 31.54 / Avg: 32.17 / Max: 34.51Min: 31.51 / Avg: 31.93 / Max: 34.2Min: 29.1 / Avg: 29.46 / Max: 31.76Min: 29.33 / Avg: 29.71 / Max: 32.04Min: 84.43 / Avg: 85.45 / Max: 86.48Min: 46.33 / Avg: 46.98 / Max: 48.2Min: 38.8 / Avg: 39.47 / Max: 40.79Min: 72.19 / Avg: 73.33 / Max: 75.24Min: 108.1 / Avg: 108.66 / Max: 109.73Min: 68.63 / Avg: 69.47 / Max: 71.1Min: 57.89 / Avg: 58.96 / Max: 60.34

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 1.2.4EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R30M60M90M120M150MSE +/- 79087.77, N = 3SE +/- 21654.12, N = 3SE +/- 258439.14, N = 3SE +/- 346134.38, N = 3SE +/- 92631.94, N = 3SE +/- 43695.86, N = 3SE +/- 61652.84, N = 3SE +/- 325493.89, N = 3SE +/- 85623.51, N = 3SE +/- 534270.03, N = 3SE +/- 699142.47, N = 3SE +/- 13013.76, N = 3SE +/- 117297.02, N = 3SE +/- 276293.23, N = 3SE +/- 57668.78, N = 3SE +/- 547694.92, N = 3SE +/- 263176.66, N = 3SE +/- 229110.43, N = 3SE +/- 314050.46, N = 3SE +/- 238511.67, N = 34067754346309610103276333756577607924499365842107688166101046200006628180382508063928097007776850077105490106472367141602033113303100479375703862836050625967516094471. (CXX) g++ options: -O3 -fopenmp
OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R20M40M60M80M100MMin: 40535410 / Avg: 40677543.33 / Max: 40808720Min: 46284070 / Avg: 46309610 / Max: 46352670Min: 102759600 / Avg: 103276333.33 / Max: 103545300Min: 75166410 / Avg: 75657760 / Max: 76325760Min: 79076240 / Avg: 79244993.33 / Max: 79395580Min: 65754820 / Avg: 65842106.67 / Max: 65889460Min: 68738250 / Avg: 68816610 / Max: 68938240Min: 104002100 / Avg: 104620000 / Max: 105106400Min: 66123390 / Avg: 66281803.33 / Max: 66417340Min: 81446530 / Avg: 82508063.33 / Max: 83144630Min: 91869130 / Avg: 92809700 / Max: 94176030Min: 77749830 / Avg: 77768500 / Max: 77793540Min: 76917380 / Avg: 77105490 / Max: 77320940Min: 105955800 / Avg: 106472366.67 / Max: 106900600Min: 141487000 / Avg: 141602033.33 / Max: 141666800Min: 112224900 / Avg: 113303100 / Max: 114009600Min: 47546150 / Avg: 47937570 / Max: 48438040Min: 38212040 / Avg: 38628360 / Max: 39002300Min: 50301450 / Avg: 50625966.67 / Max: 51253950Min: 51323940 / Avg: 51609446.67 / Max: 520831501. (CXX) g++ options: -O3 -fopenmp

Y-Cruncher

Y-Cruncher is a multi-threaded Pi benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.7.8.9503Calculating 500M Pi DigitsEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R714212835SE +/- 0.023, N = 3SE +/- 0.002, N = 3SE +/- 0.030, N = 3SE +/- 0.016, N = 3SE +/- 0.020, N = 3SE +/- 0.006, N = 3SE +/- 0.004, N = 3SE +/- 0.018, N = 3SE +/- 0.015, N = 3SE +/- 0.014, N = 3SE +/- 0.009, N = 3SE +/- 0.006, N = 3SE +/- 0.008, N = 3SE +/- 0.053, N = 3SE +/- 0.014, N = 3SE +/- 0.002, N = 3SE +/- 0.014, N = 3SE +/- 0.025, N = 3SE +/- 0.008, N = 3SE +/- 0.006, N = 324.75815.29714.04311.95510.6309.9899.4179.5938.9548.6978.6668.1898.35621.36512.4119.55822.28029.25417.39811.581
OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.7.8.9503Calculating 500M Pi DigitsEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R612182430Min: 24.72 / Avg: 24.76 / Max: 24.8Min: 15.29 / Avg: 15.3 / Max: 15.3Min: 13.98 / Avg: 14.04 / Max: 14.07Min: 11.93 / Avg: 11.96 / Max: 11.99Min: 10.59 / Avg: 10.63 / Max: 10.66Min: 9.98 / Avg: 9.99 / Max: 10Min: 9.41 / Avg: 9.42 / Max: 9.42Min: 9.57 / Avg: 9.59 / Max: 9.63Min: 8.94 / Avg: 8.95 / Max: 8.98Min: 8.67 / Avg: 8.7 / Max: 8.72Min: 8.65 / Avg: 8.67 / Max: 8.68Min: 8.18 / Avg: 8.19 / Max: 8.2Min: 8.35 / Avg: 8.36 / Max: 8.37Min: 21.29 / Avg: 21.37 / Max: 21.47Min: 12.4 / Avg: 12.41 / Max: 12.44Min: 9.55 / Avg: 9.56 / Max: 9.56Min: 22.26 / Avg: 22.28 / Max: 22.31Min: 29.2 / Avg: 29.25 / Max: 29.28Min: 17.38 / Avg: 17.4 / Max: 17.41Min: 11.57 / Avg: 11.58 / Max: 11.59

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 10.0Time To CompileEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R2004006008001000SE +/- 2.64, N = 3SE +/- 6.61, N = 4SE +/- 4.72, N = 7SE +/- 1.25, N = 3SE +/- 4.66, N = 4SE +/- 1.75, N = 3SE +/- 1.79, N = 3SE +/- 0.66, N = 3SE +/- 4.26, N = 3SE +/- 1.85, N = 3SE +/- 0.99, N = 3SE +/- 0.65, N = 3SE +/- 1.34, N = 3SE +/- 3.22, N = 3SE +/- 1.82, N = 3SE +/- 3.65, N = 3SE +/- 3.71, N = 3SE +/- 2.15, N = 3SE +/- 3.26, N = 3SE +/- 1.55, N = 3799.67454.41419.19365.27327.94311.57299.22293.32279.82252.86251.63238.82240.28624.93342.56294.84544.91827.75520.43456.82
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R150300450600750Min: 796.13 / Avg: 799.67 / Max: 804.84Min: 442.12 / Avg: 454.41 / Max: 472.86Min: 402.02 / Avg: 419.19 / Max: 433.8Min: 362.89 / Avg: 365.27 / Max: 367.12Min: 314.35 / Avg: 327.94 / Max: 334.31Min: 308.32 / Avg: 311.57 / Max: 314.31Min: 296.83 / Avg: 299.22 / Max: 302.71Min: 292.42 / Avg: 293.32 / Max: 294.62Min: 271.29 / Avg: 279.82 / Max: 284.22Min: 249.78 / Avg: 252.86 / Max: 256.19Min: 249.78 / Avg: 251.63 / Max: 253.18Min: 237.54 / Avg: 238.82 / Max: 239.66Min: 237.84 / Avg: 240.27 / Max: 242.46Min: 620.8 / Avg: 624.93 / Max: 631.28Min: 339.55 / Avg: 342.56 / Max: 345.85Min: 287.55 / Avg: 294.84 / Max: 298.7Min: 537.96 / Avg: 544.91 / Max: 550.65Min: 823.75 / Avg: 827.75 / Max: 831.11Min: 514.41 / Avg: 520.43 / Max: 525.62Min: 454.08 / Avg: 456.82 / Max: 459.45

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Noise-GaussianEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R140280420560700SE +/- 0.58, N = 3SE +/- 1.53, N = 3SE +/- 1.00, N = 3SE +/- 0.67, N = 3SE +/- 0.67, N = 3SE +/- 1.45, N = 3SE +/- 1.76, N = 3SE +/- 1.20, N = 3SE +/- 0.33, N = 3SE +/- 0.88, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 32143563824324715075454975396035886486322514194922701902843311. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Noise-GaussianEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R110220330440550Min: 431 / Avg: 432 / Max: 433Min: 469 / Avg: 471 / Max: 474Min: 543 / Avg: 545 / Max: 546Min: 496 / Avg: 497.33 / Max: 498Min: 538 / Avg: 539.33 / Max: 540Min: 601 / Avg: 603.33 / Max: 606Min: 645 / Avg: 647.67 / Max: 651Min: 630 / Avg: 631.67 / Max: 634Min: 418 / Avg: 418.67 / Max: 419Min: 490 / Avg: 491.67 / Max: 493Min: 189 / Avg: 189.67 / Max: 190Min: 284 / Avg: 284.33 / Max: 2851. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

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: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R918273645SE +/- 0.15, N = 3SE +/- 0.03, N = 3SE +/- 0.21, N = 3SE +/- 0.14, N = 3SE +/- 0.25, N = 3SE +/- 0.27, N = 3SE +/- 0.12, N = 3SE +/- 0.15, N = 3SE +/- 0.32, N = 3SE +/- 0.09, N = 3SE +/- 0.21, N = 3SE +/- 0.31, N = 3SE +/- 0.27, N = 3SE +/- 0.14, N = 3SE +/- 0.26, N = 3SE +/- 0.35, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.18, N = 310.9820.1321.6224.7527.8629.6932.3030.1033.8233.0434.8037.4232.0815.0324.9829.4815.6711.4619.2223.13
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R816243240Min: 10.72 / Avg: 10.98 / Max: 11.24Min: 20.08 / Avg: 20.13 / Max: 20.18Min: 21.35 / Avg: 21.62 / Max: 22.04Min: 24.52 / Avg: 24.75 / Max: 24.99Min: 27.56 / Avg: 27.86 / Max: 28.36Min: 29.22 / Avg: 29.69 / Max: 30.17Min: 32.1 / Avg: 32.3 / Max: 32.52Min: 29.89 / Avg: 30.1 / Max: 30.39Min: 33.22 / Avg: 33.82 / Max: 34.33Min: 32.94 / Avg: 33.04 / Max: 33.21Min: 34.56 / Avg: 34.8 / Max: 35.22Min: 36.86 / Avg: 37.42 / Max: 37.93Min: 31.8 / Avg: 32.08 / Max: 32.62Min: 14.81 / Avg: 15.03 / Max: 15.28Min: 24.48 / Avg: 24.98 / Max: 25.34Min: 29.05 / Avg: 29.48 / Max: 30.18Min: 15.62 / Avg: 15.67 / Max: 15.7Min: 11.39 / Avg: 11.46 / Max: 11.51Min: 19.15 / Avg: 19.22 / Max: 19.27Min: 22.76 / Avg: 23.13 / Max: 23.35

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 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: Visual Quality Optimized - Input: Bosphorus 1080pEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R60120180240300SE +/- 0.37, N = 3SE +/- 0.83, N = 3SE +/- 1.23, N = 3SE +/- 0.95, N = 3SE +/- 0.78, N = 3SE +/- 3.58, N = 4SE +/- 1.54, N = 3SE +/- 3.11, N = 3SE +/- 3.97, N = 3SE +/- 1.81, N = 3SE +/- 2.83, N = 3SE +/- 1.02, N = 3SE +/- 2.06, N = 3SE +/- 0.48, N = 3SE +/- 0.73, N = 3SE +/- 1.86, N = 3SE +/- 0.98, N = 3SE +/- 0.18, N = 3SE +/- 0.12, N = 3SE +/- 0.63, N = 387.66201.17196.52241.17260.38275.88285.23266.03297.18286.10288.70282.53278.5095.61202.89291.00168.4992.27174.84207.731. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: Visual Quality Optimized - Input: Bosphorus 1080pEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R50100150200250Min: 87.18 / Avg: 87.66 / Max: 88.39Min: 199.53 / Avg: 201.17 / Max: 202.16Min: 194.11 / Avg: 196.52 / Max: 198.15Min: 239.52 / Avg: 241.17 / Max: 242.82Min: 259.29 / Avg: 260.38 / Max: 261.89Min: 267.74 / Avg: 275.88 / Max: 285.17Min: 282.75 / Avg: 285.23 / Max: 288.05Min: 262.47 / Avg: 266.03 / Max: 272.23Min: 291.26 / Avg: 297.18 / Max: 304.72Min: 282.89 / Avg: 286.1 / Max: 289.16Min: 283.42 / Avg: 288.7 / Max: 293.11Min: 280.5 / Avg: 282.53 / Max: 283.55Min: 276.37 / Avg: 278.5 / Max: 282.62Min: 95 / Avg: 95.61 / Max: 96.56Min: 201.82 / Avg: 202.89 / Max: 204.29Min: 287.49 / Avg: 291 / Max: 293.83Min: 166.94 / Avg: 168.49 / Max: 170.31Min: 91.93 / Avg: 92.27 / Max: 92.51Min: 174.72 / Avg: 174.84 / Max: 175.08Min: 206.75 / Avg: 207.73 / Max: 208.911. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

Timed FFmpeg Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To CompileEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1632486480SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.13, N = 3SE +/- 0.14, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.02, N = 365.8440.0436.7732.7529.0727.4326.0226.2824.8322.5322.2820.9620.9752.3930.9826.2049.3370.9646.4239.93
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To CompileEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1428425670Min: 65.76 / Avg: 65.84 / Max: 65.98Min: 39.94 / Avg: 40.04 / Max: 40.18Min: 36.55 / Avg: 36.77 / Max: 36.99Min: 32.56 / Avg: 32.75 / Max: 33.03Min: 29.03 / Avg: 29.07 / Max: 29.1Min: 27.37 / Avg: 27.43 / Max: 27.47Min: 25.97 / Avg: 26.02 / Max: 26.06Min: 26.19 / Avg: 26.28 / Max: 26.46Min: 24.8 / Avg: 24.83 / Max: 24.89Min: 22.46 / Avg: 22.53 / Max: 22.57Min: 22.14 / Avg: 22.28 / Max: 22.37Min: 20.86 / Avg: 20.96 / Max: 21.01Min: 20.87 / Avg: 20.97 / Max: 21.12Min: 52.34 / Avg: 52.39 / Max: 52.43Min: 30.94 / Avg: 30.98 / Max: 31.02Min: 26.09 / Avg: 26.2 / Max: 26.3Min: 49.3 / Avg: 49.33 / Max: 49.36Min: 70.89 / Avg: 70.96 / Max: 71.05Min: 46.3 / Avg: 46.42 / Max: 46.62Min: 39.9 / Avg: 39.93 / Max: 39.95

Facebook RocksDB

This is a benchmark of Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random Fill SyncEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R40K80K120K160K200KSE +/- 139.20, N = 3SE +/- 82.24, N = 3SE +/- 157.79, N = 3SE +/- 255.82, N = 3SE +/- 354.28, N = 3SE +/- 158.35, N = 3SE +/- 187.85, N = 3SE +/- 165.04, N = 3SE +/- 41.05, N = 3SE +/- 320.60, N = 3SE +/- 219.56, N = 3SE +/- 168.25, N = 3SE +/- 196.12, N = 3SE +/- 103.64, N = 3SE +/- 531.97, N = 3SE +/- 115.80, N = 3SE +/- 2830.46, N = 15SE +/- 174.96, N = 3SE +/- 542.91, N = 3SE +/- 2734.04, N = 15594911091279345411751212671714615714822513167114870016017715916219763120115579963134174155900104660736891219861046911. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random Fill SyncEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R30K60K90K120K150KMin: 59213 / Avg: 59491.33 / Max: 59636Min: 108974 / Avg: 109126.67 / Max: 109256Min: 93197 / Avg: 93453.67 / Max: 93741Min: 117108 / Avg: 117512.33 / Max: 117986Min: 126014 / Avg: 126716.67 / Max: 127147Min: 145843 / Avg: 146157.33 / Max: 146348Min: 147909 / Avg: 148225 / Max: 148559Min: 131343 / Avg: 131671 / Max: 131867Min: 148644 / Avg: 148700 / Max: 148780Min: 159540 / Avg: 160177 / Max: 160559Min: 158791 / Avg: 159162.33 / Max: 159551Min: 197331 / Avg: 197631 / Max: 197913Min: 200793 / Avg: 201154.67 / Max: 201467Min: 79785 / Avg: 79963.33 / Max: 80144Min: 133400 / Avg: 134173.67 / Max: 135193Min: 155770 / Avg: 155900 / Max: 156131Min: 77631 / Avg: 104659.87 / Max: 109965Min: 73421 / Avg: 73689.33 / Max: 74018Min: 121178 / Avg: 121985.67 / Max: 123018Min: 88183 / Avg: 104691.27 / Max: 1152171. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R612182430SE +/- 0.042, N = 3SE +/- 0.047, N = 3SE +/- 0.070, N = 3SE +/- 0.112, N = 3SE +/- 0.014, N = 3SE +/- 0.025, N = 3SE +/- 0.023, N = 3SE +/- 0.135, N = 3SE +/- 0.020, N = 3SE +/- 0.070, N = 3SE +/- 0.052, N = 3SE +/- 0.030, N = 3SE +/- 0.089, N = 3SE +/- 0.047, N = 3SE +/- 0.011, N = 3SE +/- 0.060, N = 3SE +/- 0.015, N = 3SE +/- 0.054, N = 3SE +/- 0.026, N = 3SE +/- 0.018, N = 325.66914.89015.27313.48811.53210.1519.7619.9819.8198.3438.3847.6798.30123.29013.36610.77215.68625.11014.99412.8091. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R612182430Min: 25.59 / Avg: 25.67 / Max: 25.71Min: 14.82 / Avg: 14.89 / Max: 14.98Min: 15.17 / Avg: 15.27 / Max: 15.41Min: 13.28 / Avg: 13.49 / Max: 13.66Min: 11.51 / Avg: 11.53 / Max: 11.55Min: 10.1 / Avg: 10.15 / Max: 10.19Min: 9.72 / Avg: 9.76 / Max: 9.79Min: 9.83 / Avg: 9.98 / Max: 10.25Min: 9.79 / Avg: 9.82 / Max: 9.86Min: 8.27 / Avg: 8.34 / Max: 8.48Min: 8.32 / Avg: 8.38 / Max: 8.49Min: 7.63 / Avg: 7.68 / Max: 7.73Min: 8.14 / Avg: 8.3 / Max: 8.44Min: 23.21 / Avg: 23.29 / Max: 23.37Min: 13.35 / Avg: 13.37 / Max: 13.39Min: 10.7 / Avg: 10.77 / Max: 10.89Min: 15.66 / Avg: 15.69 / Max: 15.71Min: 25.01 / Avg: 25.11 / Max: 25.2Min: 14.95 / Avg: 14.99 / Max: 15.04Min: 12.77 / Avg: 12.81 / Max: 12.831. (CXX) g++ options: -O2 -lOpenCL

Tungsten Renderer

Tungsten is a C++ physically based renderer that makes use of Intel's Embree ray tracing library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Volumetric CausticEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R48121620SE +/- 0.02746, N = 3SE +/- 0.00820, N = 3SE +/- 0.10143, N = 4SE +/- 0.00709, N = 3SE +/- 0.00753, N = 3SE +/- 0.01115, N = 3SE +/- 0.00885, N = 3SE +/- 0.01336, N = 3SE +/- 0.00353, N = 3SE +/- 0.00254, N = 3SE +/- 0.00059, N = 3SE +/- 0.00298, N = 3SE +/- 0.00415, N = 3SE +/- 0.07384, N = 3SE +/- 0.06725, N = 3SE +/- 0.03557, N = 3SE +/- 0.02492, N = 3SE +/- 0.11496, N = 3SE +/- 0.02247, N = 3SE +/- 0.02261, N = 314.556507.342077.667185.773365.221254.949044.655154.794504.470724.372124.393514.365214.5029413.789707.054234.882579.7415213.482209.544317.999541. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512pf -mno-avx512er -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Volumetric CausticEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R48121620Min: 14.51 / Avg: 14.56 / Max: 14.6Min: 7.33 / Avg: 7.34 / Max: 7.35Min: 7.47 / Avg: 7.67 / Max: 7.94Min: 5.76 / Avg: 5.77 / Max: 5.79Min: 5.21 / Avg: 5.22 / Max: 5.24Min: 4.93 / Avg: 4.95 / Max: 4.97Min: 4.65 / Avg: 4.66 / Max: 4.67Min: 4.78 / Avg: 4.79 / Max: 4.82Min: 4.47 / Avg: 4.47 / Max: 4.48Min: 4.37 / Avg: 4.37 / Max: 4.37Min: 4.39 / Avg: 4.39 / Max: 4.39Min: 4.36 / Avg: 4.37 / Max: 4.37Min: 4.49 / Avg: 4.5 / Max: 4.51Min: 13.65 / Avg: 13.79 / Max: 13.89Min: 6.95 / Avg: 7.05 / Max: 7.18Min: 4.85 / Avg: 4.88 / Max: 4.95Min: 9.7 / Avg: 9.74 / Max: 9.79Min: 13.33 / Avg: 13.48 / Max: 13.71Min: 9.5 / Avg: 9.54 / Max: 9.58Min: 7.97 / Avg: 8 / Max: 8.041. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512pf -mno-avx512er -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl

YafaRay

YafaRay is an open-source physically based montecarlo ray-tracing engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample SceneEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R50100150200250SE +/- 1.26, N = 3SE +/- 0.72, N = 3SE +/- 1.77, N = 3SE +/- 0.34, N = 3SE +/- 1.36, N = 3SE +/- 0.64, N = 3SE +/- 1.00, N = 3SE +/- 0.28, N = 3SE +/- 0.83, N = 3SE +/- 1.11, N = 3SE +/- 0.89, N = 5SE +/- 0.73, N = 7SE +/- 0.37, N = 3SE +/- 2.84, N = 3SE +/- 1.42, N = 3SE +/- 0.24, N = 3SE +/- 8.80, N = 9SE +/- 3.74, N = 12SE +/- 7.20, N = 12SE +/- 1.13, N = 3186.60103.64112.4490.5782.5776.3369.7784.1967.5765.3967.4865.1369.08171.15127.7884.24164.40216.03155.35138.271. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample SceneEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R4080120160200Min: 185.16 / Avg: 186.59 / Max: 189.11Min: 102.22 / Avg: 103.64 / Max: 104.57Min: 108.9 / Avg: 112.44 / Max: 114.31Min: 90.16 / Avg: 90.57 / Max: 91.26Min: 80.22 / Avg: 82.57 / Max: 84.93Min: 75.06 / Avg: 76.33 / Max: 77.02Min: 68.75 / Avg: 69.77 / Max: 71.77Min: 83.84 / Avg: 84.19 / Max: 84.75Min: 65.98 / Avg: 67.57 / Max: 68.77Min: 63.33 / Avg: 65.39 / Max: 67.14Min: 64.99 / Avg: 67.48 / Max: 69.65Min: 61.91 / Avg: 65.13 / Max: 67.08Min: 68.68 / Avg: 69.08 / Max: 69.82Min: 167.3 / Avg: 171.15 / Max: 176.69Min: 125.05 / Avg: 127.78 / Max: 129.85Min: 83.83 / Avg: 84.24 / Max: 84.64Min: 140.46 / Avg: 164.4 / Max: 218.98Min: 204.4 / Avg: 216.03 / Max: 240.9Min: 131.72 / Avg: 155.35 / Max: 201.78Min: 136.46 / Avg: 138.27 / Max: 140.361. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread

Basis Universal

Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1020304050SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 340.0824.5323.7320.5418.3817.2216.5016.9015.7814.4214.3113.3713.5033.3520.0316.9932.1344.0129.7725.401. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R918273645Min: 40.02 / Avg: 40.08 / Max: 40.19Min: 24.5 / Avg: 24.53 / Max: 24.55Min: 23.7 / Avg: 23.73 / Max: 23.74Min: 20.5 / Avg: 20.54 / Max: 20.56Min: 18.34 / Avg: 18.38 / Max: 18.4Min: 17.21 / Avg: 17.22 / Max: 17.23Min: 16.5 / Avg: 16.5 / Max: 16.51Min: 16.87 / Avg: 16.9 / Max: 16.92Min: 15.75 / Avg: 15.78 / Max: 15.83Min: 14.38 / Avg: 14.42 / Max: 14.46Min: 14.28 / Avg: 14.31 / Max: 14.35Min: 13.37 / Avg: 13.37 / Max: 13.38Min: 13.48 / Avg: 13.5 / Max: 13.52Min: 33.34 / Avg: 33.35 / Max: 33.36Min: 20.02 / Avg: 20.03 / Max: 20.05Min: 16.98 / Avg: 16.99 / Max: 17Min: 32.08 / Avg: 32.13 / Max: 32.17Min: 43.96 / Avg: 44.01 / Max: 44.05Min: 29.7 / Avg: 29.77 / Max: 29.87Min: 25.37 / Avg: 25.4 / Max: 25.451. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

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 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R80160240320400SE +/- 0.19, N = 3SE +/- 0.74, N = 3SE +/- 0.84, N = 3SE +/- 0.18, N = 3SE +/- 0.65, N = 3SE +/- 3.26, N = 3SE +/- 1.60, N = 3SE +/- 1.86, N = 3SE +/- 1.64, N = 3SE +/- 0.35, N = 3SE +/- 0.92, N = 3SE +/- 3.39, N = 3SE +/- 1.71, N = 3SE +/- 0.17, N = 3SE +/- 1.32, N = 3SE +/- 0.78, N = 3SE +/- 0.51, N = 3SE +/- 0.47, N = 3SE +/- 0.30, N = 3SE +/- 1.26, N = 3115.55252.60247.19302.67334.14348.02357.09332.00374.54369.46364.75360.79348.52120.31246.52361.45223.77126.17229.86274.861. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R70140210280350Min: 115.19 / Avg: 115.55 / Max: 115.81Min: 251.15 / Avg: 252.6 / Max: 253.59Min: 245.6 / Avg: 247.19 / Max: 248.45Min: 302.42 / Avg: 302.67 / Max: 303.03Min: 332.96 / Avg: 334.14 / Max: 335.2Min: 343.64 / Avg: 348.02 / Max: 354.4Min: 354.4 / Avg: 357.09 / Max: 359.93Min: 329.31 / Avg: 332 / Max: 335.57Min: 372.9 / Avg: 374.54 / Max: 377.83Min: 369 / Avg: 369.46 / Max: 370.14Min: 362.98 / Avg: 364.75 / Max: 366.08Min: 354.19 / Avg: 360.79 / Max: 365.41Min: 345.82 / Avg: 348.52 / Max: 351.7Min: 119.98 / Avg: 120.31 / Max: 120.53Min: 244.2 / Avg: 246.52 / Max: 248.76Min: 359.93 / Avg: 361.45 / Max: 362.54Min: 222.97 / Avg: 223.77 / Max: 224.72Min: 125.52 / Avg: 126.17 / Max: 127.09Min: 229.27 / Avg: 229.86 / Max: 230.24Min: 272.48 / Avg: 274.86 / Max: 276.751. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

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: EmilyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R110220330440550519.56294.35274.94232.54208.16189.13179.85186.36172.40160.64161.23161.38163.68413.50234.69187.96344.82503.80326.44284.02

ASKAP

This is a CUDA benchmark of ATNF's ASKAP Benchmark with currently using the tConvolveCuda sub-test. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 2018-11-10Test: tConvolve MPI - DegriddingEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R13002600390052006500SE +/- 1.17, N = 5SE +/- 6.65, N = 3SE +/- 6.65, N = 3SE +/- 95.82, N = 15SE +/- 27.55, N = 3SE +/- 3.67, N = 3SE +/- 1.06, N = 3SE +/- 249.68, N = 3SE +/- 1.06, N = 3SE +/- 6.88, N = 3SE +/- 2.61, N = 3SE +/- 0.69, N = 3SE +/- 100.04, N = 3SE +/- 55.69, N = 15SE +/- 19.79, N = 3SE +/- 243.60, N = 3SE +/- 16.67, N = 3SE +/- 60.01, N = 3SE +/- 53.84, N = 3SE +/- 114.02, N = 32501.232890.844953.624616.845282.865201.595206.885841.655205.825767.296148.315936.735703.972815.256042.825630.663067.201913.083225.883509.821. (CXX) g++ options: -lpthread
OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 2018-11-10Test: tConvolve MPI - DegriddingEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R11002200330044005500Min: 2497.13 / Avg: 2501.23 / Max: 2502.99Min: 2882.34 / Avg: 2890.84 / Max: 2903.95Min: 4942.11 / Avg: 4953.62 / Max: 4965.15Min: 3942.1 / Avg: 4616.84 / Max: 5224.97Min: 5229.25 / Avg: 5282.86 / Max: 5320.69Min: 5195.24 / Avg: 5201.59 / Max: 5207.94Min: 5204.76 / Avg: 5206.88 / Max: 5207.94Min: 5372.13 / Avg: 5841.65 / Max: 6223.66Min: 5204.76 / Avg: 5205.82 / Max: 5207.94Min: 5754.29 / Avg: 5767.29 / Max: 5777.71Min: 6144.37 / Avg: 6148.31 / Max: 6153.24Min: 5935.35 / Avg: 5936.73 / Max: 5937.42Min: 5504 / Avg: 5703.97 / Max: 5809.88Min: 2409.56 / Avg: 2815.25 / Max: 3247.02Min: 6008.6 / Avg: 6042.82 / Max: 6077.17Min: 5311.84 / Avg: 5630.66 / Max: 6109.12Min: 3049.46 / Avg: 3067.2 / Max: 3100.51Min: 1795.99 / Avg: 1913.08 / Max: 1994.43Min: 3137.04 / Avg: 3225.88 / Max: 3323.01Min: 3312.67 / Avg: 3509.82 / Max: 3707.661. (CXX) g++ options: -lpthread

SVT-AV1

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-AV1 CPU-based multi-threaded video encoder for the AV1 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R246810SE +/- 0.002, N = 3SE +/- 0.006, N = 3SE +/- 0.006, N = 3SE +/- 0.039, N = 3SE +/- 0.010, N = 3SE +/- 0.021, N = 3SE +/- 0.007, N = 3SE +/- 0.042, N = 3SE +/- 0.038, N = 3SE +/- 0.033, N = 3SE +/- 0.048, N = 3SE +/- 0.044, N = 3SE +/- 0.075, N = 3SE +/- 0.005, N = 3SE +/- 0.019, N = 3SE +/- 0.024, N = 3SE +/- 0.011, N = 3SE +/- 0.001, N = 3SE +/- 0.010, N = 3SE +/- 0.023, N = 32.5534.0824.6265.2866.0956.4296.7716.5757.0757.6947.9088.1917.9533.0735.2016.7283.4912.5493.4984.5331. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215Min: 2.55 / Avg: 2.55 / Max: 2.56Min: 4.07 / Avg: 4.08 / Max: 4.09Min: 4.62 / Avg: 4.63 / Max: 4.64Min: 5.22 / Avg: 5.29 / Max: 5.35Min: 6.08 / Avg: 6.1 / Max: 6.11Min: 6.41 / Avg: 6.43 / Max: 6.47Min: 6.76 / Avg: 6.77 / Max: 6.78Min: 6.5 / Avg: 6.58 / Max: 6.64Min: 7.02 / Avg: 7.07 / Max: 7.15Min: 7.64 / Avg: 7.69 / Max: 7.75Min: 7.85 / Avg: 7.91 / Max: 8Min: 8.1 / Avg: 8.19 / Max: 8.24Min: 7.8 / Avg: 7.95 / Max: 8.05Min: 3.06 / Avg: 3.07 / Max: 3.08Min: 5.17 / Avg: 5.2 / Max: 5.24Min: 6.68 / Avg: 6.73 / Max: 6.77Min: 3.47 / Avg: 3.49 / Max: 3.51Min: 2.55 / Avg: 2.55 / Max: 2.55Min: 3.48 / Avg: 3.5 / Max: 3.52Min: 4.49 / Avg: 4.53 / Max: 4.571. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

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: NASNet MobileEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R60K120K180K240K300KSE +/- 894.92, N = 3SE +/- 552.61, N = 3SE +/- 548.31, N = 3SE +/- 404.73, N = 3SE +/- 233.28, N = 3SE +/- 411.16, N = 3SE +/- 1088.69, N = 3SE +/- 101.95, N = 3SE +/- 672.62, N = 15SE +/- 440.36, N = 3SE +/- 194.61, N = 3SE +/- 457.90, N = 3SE +/- 1020.34, N = 3SE +/- 933.85, N = 3SE +/- 67.65, N = 3SE +/- 517.53, N = 3SE +/- 1503.33, N = 3SE +/- 3485.10, N = 3SE +/- 3973.18, N = 15SE +/- 1054.85, N = 3213852.0150797.0147770.0123038.0106140.096229.285985.3100961.083541.092446.989518.288189.3124043.0187285.0127726.0102435.0213799.0267213.0204068.0161287.0
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R50K100K150K200K250KMin: 212521 / Avg: 213852.33 / Max: 215554Min: 150189 / Avg: 150796.67 / Max: 151900Min: 147190 / Avg: 147770 / Max: 148866Min: 122592 / Avg: 123038 / Max: 123846Min: 105676 / Avg: 106140.33 / Max: 106412Min: 95408.3 / Avg: 96229.23 / Max: 96681.1Min: 84090 / Avg: 85985.27 / Max: 87861.2Min: 100793 / Avg: 100960.67 / Max: 101145Min: 79803.3 / Avg: 83541.04 / Max: 88828.7Min: 91614 / Avg: 92446.87 / Max: 93111.3Min: 89280.7 / Avg: 89518.2 / Max: 89904Min: 87277.5 / Avg: 88189.3 / Max: 88719.3Min: 122075 / Avg: 124042.67 / Max: 125495Min: 185504 / Avg: 187284.67 / Max: 188663Min: 127593 / Avg: 127725.67 / Max: 127815Min: 101409 / Avg: 102434.67 / Max: 103068Min: 212194 / Avg: 213798.67 / Max: 216803Min: 260450 / Avg: 267212.67 / Max: 272056Min: 195627 / Avg: 204068.47 / Max: 257370Min: 159770 / Avg: 161286.67 / Max: 163315

Incompact3D

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 BetterIncompact3D 2020-09-17Input: CylinderEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R130260390520650SE +/- 1.08, N = 3SE +/- 6.71, N = 9SE +/- 0.81, N = 3SE +/- 3.11, N = 9SE +/- 0.37, N = 3SE +/- 0.49, N = 3SE +/- 1.89, N = 3SE +/- 0.48, N = 3SE +/- 0.64, N = 3SE +/- 1.20, N = 3SE +/- 0.76, N = 3SE +/- 0.95, N = 3SE +/- 1.62, N = 3SE +/- 6.58, N = 3SE +/- 0.82, N = 3SE +/- 0.58, N = 3SE +/- 4.16, N = 3SE +/- 2.26, N = 3SE +/- 2.66, N = 3SE +/- 2.34, N = 3463.50288.45274.72291.31212.14212.92204.09206.40201.48228.99210.54227.28265.33499.28233.39194.96450.21614.21435.62346.251. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lm -lrt -lz
OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R110220330440550Min: 461.34 / Avg: 463.5 / Max: 464.59Min: 278.16 / Avg: 288.45 / Max: 341.07Min: 273.12 / Avg: 274.72 / Max: 275.73Min: 277.74 / Avg: 291.31 / Max: 308.01Min: 211.46 / Avg: 212.14 / Max: 212.71Min: 211.96 / Avg: 212.92 / Max: 213.58Min: 202 / Avg: 204.09 / Max: 207.87Min: 205.48 / Avg: 206.4 / Max: 207.09Min: 200.38 / Avg: 201.48 / Max: 202.6Min: 227.01 / Avg: 228.99 / Max: 231.15Min: 209.21 / Avg: 210.54 / Max: 211.84Min: 225.5 / Avg: 227.28 / Max: 228.76Min: 262.49 / Avg: 265.33 / Max: 268.09Min: 486.13 / Avg: 499.28 / Max: 505.9Min: 232.52 / Avg: 233.39 / Max: 235.04Min: 193.94 / Avg: 194.96 / Max: 195.95Min: 444.29 / Avg: 450.21 / Max: 458.23Min: 611.05 / Avg: 614.21 / Max: 618.58Min: 431.48 / Avg: 435.62 / Max: 440.58Min: 342.43 / Avg: 346.25 / Max: 350.511. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lm -lrt -lz

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: SlowEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F523691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 34.347.708.198.349.2411.2512.0811.5012.5912.6412.8313.1612.455.309.621. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: SlowEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F5248121620Min: 4.33 / Avg: 4.34 / Max: 4.35Min: 7.68 / Avg: 7.7 / Max: 7.72Min: 8.17 / Avg: 8.19 / Max: 8.21Min: 8.33 / Avg: 8.34 / Max: 8.34Min: 9.22 / Avg: 9.24 / Max: 9.25Min: 11.24 / Avg: 11.25 / Max: 11.27Min: 12.06 / Avg: 12.08 / Max: 12.1Min: 11.49 / Avg: 11.5 / Max: 11.51Min: 12.58 / Avg: 12.59 / Max: 12.6Min: 12.59 / Avg: 12.64 / Max: 12.67Min: 12.81 / Avg: 12.83 / Max: 12.86Min: 13.12 / Avg: 13.16 / Max: 13.18Min: 12.42 / Avg: 12.45 / Max: 12.49Min: 5.28 / Avg: 5.3 / Max: 5.31Min: 9.61 / Avg: 9.62 / Max: 9.631. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: MediumEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F523691215SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 34.417.848.348.519.3711.4412.2411.7012.8312.8013.0413.3512.635.419.781. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: MediumEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F5248121620Min: 4.41 / Avg: 4.41 / Max: 4.42Min: 7.81 / Avg: 7.84 / Max: 7.86Min: 8.31 / Avg: 8.34 / Max: 8.36Min: 8.5 / Avg: 8.51 / Max: 8.51Min: 9.34 / Avg: 9.37 / Max: 9.4Min: 11.41 / Avg: 11.44 / Max: 11.45Min: 12.21 / Avg: 12.24 / Max: 12.26Min: 11.68 / Avg: 11.7 / Max: 11.71Min: 12.82 / Avg: 12.83 / Max: 12.84Min: 12.76 / Avg: 12.8 / Max: 12.85Min: 13.02 / Avg: 13.04 / Max: 13.05Min: 13.34 / Avg: 13.35 / Max: 13.38Min: 12.62 / Avg: 12.63 / Max: 12.63Min: 5.4 / Avg: 5.41 / Max: 5.42Min: 9.77 / Avg: 9.78 / Max: 9.811. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Polyhedron Fortran Benchmarks

The Fortran.uk Polyhedron Fortran Benchmarks for comparing Fortran compiler performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: tfft2EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R142842567062.9758.5457.1260.3856.7356.4856.9245.3356.0354.0934.8932.9733.1151.0050.4520.9734.5939.2134.4831.83

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: Magnetic Reconnection - Renderer: Path TracerEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R70140210280350SE +/- 0.00, N = 15SE +/- 9.36, N = 12SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 4.54, N = 15SE +/- 0.00, N = 12SE +/- 0.00, N = 12SE +/- 0.00, N = 12111.11200.00200.00250.00250.00250.00250.00250.00319.44333.33333.33333.33333.33125.00243.00250.00250.00166.67333.33333.33
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: Path TracerEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R60120180240300Min: 111.11 / Avg: 111.11 / Max: 111.11Min: 250 / Avg: 319.44 / Max: 333.33Min: 333.33 / Avg: 333.33 / Max: 333.33Min: 333.33 / Avg: 333.33 / Max: 333.33Min: 333.33 / Avg: 333.33 / Max: 333.33Min: 333.33 / Avg: 333.33 / Max: 333.33Min: 200 / Avg: 243.33 / Max: 250Min: 166.67 / Avg: 166.67 / Max: 166.67Min: 333.33 / Avg: 333.33 / Max: 333.33Min: 333.33 / Avg: 333.33 / Max: 333.33

x264

This is a simple test of the x264 encoder run on the CPU (OpenCL support disabled) with a sample video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2019-12-17H.264 Video EncodingEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R4080120160200SE +/- 0.41, N = 3SE +/- 1.76, N = 3SE +/- 1.17, N = 3SE +/- 0.99, N = 3SE +/- 2.39, N = 3SE +/- 1.97, N = 3SE +/- 1.50, N = 3SE +/- 1.38, N = 3SE +/- 2.67, N = 3SE +/- 1.03, N = 3SE +/- 2.06, N = 3SE +/- 1.79, N = 3SE +/- 2.22, N = 3SE +/- 0.70, N = 3SE +/- 2.17, N = 3SE +/- 1.33, N = 3SE +/- 0.26, N = 3SE +/- 0.73, N = 3SE +/- 0.76, N = 3SE +/- 0.27, N = 371.60118.48126.75137.58150.81143.59145.72144.57159.20144.71148.99141.18140.3589.29158.53177.1277.1759.2893.60110.611. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -ffast-math -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize
OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2019-12-17H.264 Video EncodingEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R306090120150Min: 70.79 / Avg: 71.6 / Max: 72.07Min: 114.97 / Avg: 118.48 / Max: 120.28Min: 124.48 / Avg: 126.75 / Max: 128.36Min: 135.61 / Avg: 137.58 / Max: 138.59Min: 146.07 / Avg: 150.81 / Max: 153.76Min: 140.36 / Avg: 143.59 / Max: 147.17Min: 142.97 / Avg: 145.72 / Max: 148.13Min: 141.86 / Avg: 144.57 / Max: 146.42Min: 153.88 / Avg: 159.2 / Max: 162.17Min: 142.68 / Avg: 144.71 / Max: 145.98Min: 145.83 / Avg: 148.99 / Max: 152.86Min: 137.66 / Avg: 141.18 / Max: 143.49Min: 135.93 / Avg: 140.35 / Max: 143Min: 88.14 / Avg: 89.29 / Max: 90.57Min: 154.64 / Avg: 158.53 / Max: 162.16Min: 174.45 / Avg: 177.12 / Max: 178.56Min: 76.67 / Avg: 77.17 / Max: 77.55Min: 58.55 / Avg: 59.28 / Max: 60.73Min: 92.08 / Avg: 93.6 / Max: 94.43Min: 110.08 / Avg: 110.61 / Max: 110.931. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -ffast-math -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize

Xsbench

XSBench is a mini-app representing a key computational kernel of the Monte Carlo neutronics application OpenMC. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgLookups/s, More Is BetterXsbench 2017-07-06EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1.4M2.8M4.2M5.6M7MSE +/- 3427.00, N = 3SE +/- 4822.94, N = 3SE +/- 15658.57, N = 3SE +/- 74928.50, N = 3SE +/- 12295.11, N = 3SE +/- 10150.69, N = 3SE +/- 1381.63, N = 3SE +/- 3392.60, N = 3SE +/- 1352.61, N = 3SE +/- 2161.64, N = 3SE +/- 10391.88, N = 3SE +/- 11017.89, N = 3SE +/- 4550.43, N = 3SE +/- 1809.82, N = 3SE +/- 8758.84, N = 3SE +/- 11987.30, N = 3SE +/- 10041.13, N = 3SE +/- 6660.13, N = 3SE +/- 12068.92, N = 3SE +/- 11813.79, N = 3214018640700674271821519539753710135532974556828763072915550661616461263245466231095621517923784814585335584338341395002191503417536943885631. (CC) gcc options: -std=gnu99 -fopenmp -O3 -lm
OpenBenchmarking.orgLookups/s, More Is BetterXsbench 2017-07-06EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1.1M2.2M3.3M4.4M5.5MMin: 2134305 / Avg: 2140185.67 / Max: 2146175Min: 4060974 / Avg: 4070067 / Max: 4077401Min: 4240519 / Avg: 4271821 / Max: 4288315Min: 5045873 / Avg: 5195397 / Max: 5278806Min: 5346542 / Avg: 5371013 / Max: 5385343Min: 5521561 / Avg: 5532974.33 / Max: 5553221Min: 5566364 / Avg: 5568287 / Max: 5570967Min: 6301349 / Avg: 6307291.33 / Max: 6313099Min: 5548140 / Avg: 5550661.33 / Max: 5552771Min: 6161836 / Avg: 6164611.67 / Max: 6168870Min: 6311937 / Avg: 6324546 / Max: 6345159Min: 6213281 / Avg: 6231095.33 / Max: 6251235Min: 6208570 / Avg: 6215179 / Max: 6223902Min: 2375572 / Avg: 2378481.33 / Max: 2381801Min: 4568020 / Avg: 4585334.67 / Max: 4596295Min: 5819818 / Avg: 5843383 / Max: 5858987Min: 4119567 / Avg: 4139500 / Max: 4151583Min: 2179464 / Avg: 2191503 / Max: 2202459Min: 4160930 / Avg: 4175369 / Max: 4199340Min: 4375204 / Avg: 4388563 / Max: 44121201. (CC) gcc options: -std=gnu99 -fopenmp -O3 -lm

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R246810SE +/- 0.02707, N = 3SE +/- 0.05589, N = 3SE +/- 0.04411, N = 3SE +/- 0.02509, N = 3SE +/- 0.01391, N = 3SE +/- 0.00977, N = 3SE +/- 0.02435, N = 3SE +/- 0.03168, N = 3SE +/- 0.00928, N = 3SE +/- 0.01728, N = 3SE +/- 0.00074, N = 3SE +/- 0.03325, N = 5SE +/- 0.03350, N = 3SE +/- 0.02111, N = 3SE +/- 0.02811, N = 3SE +/- 0.00417, N = 3SE +/- 0.02297, N = 3SE +/- 0.01236, N = 3SE +/- 0.05571, N = 3SE +/- 0.00498, N = 37.710846.091584.103174.318213.992623.919713.862013.008123.925473.661872.613692.769363.084536.684993.414644.329894.697345.737354.489744.186121. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215Min: 7.68 / Avg: 7.71 / Max: 7.76Min: 6.03 / Avg: 6.09 / Max: 6.2Min: 4.02 / Avg: 4.1 / Max: 4.15Min: 4.27 / Avg: 4.32 / Max: 4.35Min: 3.97 / Avg: 3.99 / Max: 4.02Min: 3.9 / Avg: 3.92 / Max: 3.94Min: 3.83 / Avg: 3.86 / Max: 3.91Min: 2.95 / Avg: 3.01 / Max: 3.06Min: 3.91 / Avg: 3.93 / Max: 3.94Min: 3.63 / Avg: 3.66 / Max: 3.69Min: 2.61 / Avg: 2.61 / Max: 2.62Min: 2.69 / Avg: 2.77 / Max: 2.89Min: 3.03 / Avg: 3.08 / Max: 3.15Min: 6.64 / Avg: 6.68 / Max: 6.71Min: 3.36 / Avg: 3.41 / Max: 3.46Min: 4.32 / Avg: 4.33 / Max: 4.34Min: 4.67 / Avg: 4.7 / Max: 4.74Min: 5.72 / Avg: 5.74 / Max: 5.76Min: 4.42 / Avg: 4.49 / Max: 4.6Min: 4.18 / Avg: 4.19 / Max: 4.21. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

ASKAP

This is a CUDA benchmark of ATNF's ASKAP Benchmark with currently using the tConvolveCuda sub-test. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 2018-11-10Test: tConvolve MT - DegriddingEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R13002600390052006500SE +/- 3.23, N = 3SE +/- 15.72, N = 3SE +/- 166.01, N = 3SE +/- 142.43, N = 4SE +/- 13.87, N = 3SE +/- 6.91, N = 3SE +/- 2.65, N = 3SE +/- 117.70, N = 3SE +/- 2.64, N = 3SE +/- 7.17, N = 3SE +/- 12.21, N = 3SE +/- 5.26, N = 3SE +/- 22.10, N = 3SE +/- 30.75, N = 3SE +/- 2.32, N = 3SE +/- 31.25, N = 3SE +/- 39.37, N = 3SE +/- 16.57, N = 4SE +/- 39.05, N = 3SE +/- 48.29, N = 32442.732830.804506.354910.755113.555047.535055.505859.295052.505616.085876.055793.435610.492868.765445.375739.993169.112018.463422.653739.271. (CXX) g++ options: -lpthread
OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 2018-11-10Test: tConvolve MT - DegriddingEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R10002000300040005000Min: 2437.13 / Avg: 2442.73 / Max: 2448.33Min: 2808.24 / Avg: 2830.8 / Max: 2861.04Min: 4184.77 / Avg: 4506.35 / Max: 4738.71Min: 4484.31 / Avg: 4910.75 / Max: 5067.52Min: 5095.81 / Avg: 5113.55 / Max: 5140.9Min: 5035.57 / Avg: 5047.53 / Max: 5059.5Min: 5050.5 / Avg: 5055.5 / Max: 5059.5Min: 5623.89 / Avg: 5859.29 / Max: 5979.08Min: 5047.51 / Avg: 5052.5 / Max: 5056.49Min: 5602.93 / Avg: 5616.08 / Max: 5627.6Min: 5862.52 / Avg: 5876.05 / Max: 5900.41Min: 5788.17 / Avg: 5793.43 / Max: 5803.95Min: 5566.93 / Avg: 5610.49 / Max: 5638.78Min: 2832.51 / Avg: 2868.76 / Max: 2929.91Min: 5440.74 / Avg: 5445.37 / Max: 5447.69Min: 5685.18 / Avg: 5739.99 / Max: 5793.42Min: 3111.83 / Avg: 3169.11 / Max: 3244.55Min: 1988.84 / Avg: 2018.46 / Max: 2048.12Min: 3378.35 / Avg: 3422.65 / Max: 3500.49Min: 3653.6 / Avg: 3739.27 / Max: 3820.711. (CXX) g++ options: -lpthread

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: ResizingEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R400800120016002000SE +/- 2.33, N = 3SE +/- 3.33, N = 3SE +/- 1.00, N = 3SE +/- 3.61, N = 3SE +/- 6.08, N = 3SE +/- 13.45, N = 3SE +/- 13.35, N = 3SE +/- 28.17, N = 3SE +/- 10.58, N = 3SE +/- 16.76, N = 3SE +/- 19.81, N = 15SE +/- 25.93, N = 15SE +/- 13.30, N = 15SE +/- 2.08, N = 3SE +/- 5.00, N = 3SE +/- 3.76, N = 3SE +/- 1.20, N = 3SE +/- 0.88, N = 3SE +/- 2.40, N = 3SE +/- 3.18, N = 36751194140414951664174419451805195716571664975741878159918461036716110313291. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: ResizingEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R30060090012001500Min: 671 / Avg: 675.33 / Max: 679Min: 1191 / Avg: 1194.33 / Max: 1201Min: 1402 / Avg: 1404 / Max: 1405Min: 1488 / Avg: 1495 / Max: 1500Min: 1654 / Avg: 1664 / Max: 1675Min: 1728 / Avg: 1744.33 / Max: 1771Min: 1923 / Avg: 1944.67 / Max: 1969Min: 1749 / Avg: 1804.67 / Max: 1840Min: 1941 / Avg: 1957 / Max: 1977Min: 1625 / Avg: 1656.67 / Max: 1682Min: 1535 / Avg: 1663.87 / Max: 1807Min: 802 / Avg: 974.87 / Max: 1155Min: 658 / Avg: 740.67 / Max: 849Min: 875 / Avg: 878 / Max: 882Min: 1594 / Avg: 1599 / Max: 1609Min: 1839 / Avg: 1845.67 / Max: 1852Min: 1034 / Avg: 1036.33 / Max: 1038Min: 714 / Avg: 715.67 / Max: 717Min: 1098 / Avg: 1102.67 / Max: 1106Min: 1323 / Avg: 1329.33 / Max: 13331. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

x265

This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52612182430SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 38.3918.5518.8020.0621.3821.7222.2821.5223.1023.4322.9622.8522.119.9620.631. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52510152025Min: 8.24 / Avg: 8.39 / Max: 8.53Min: 18.51 / Avg: 18.55 / Max: 18.58Min: 18.74 / Avg: 18.8 / Max: 18.89Min: 20.04 / Avg: 20.06 / Max: 20.07Min: 21.34 / Avg: 21.38 / Max: 21.41Min: 21.69 / Avg: 21.72 / Max: 21.76Min: 22.25 / Avg: 22.28 / Max: 22.3Min: 21.49 / Avg: 21.52 / Max: 21.55Min: 23.03 / Avg: 23.1 / Max: 23.2Min: 23.32 / Avg: 23.43 / Max: 23.57Min: 22.73 / Avg: 22.96 / Max: 23.08Min: 22.78 / Avg: 22.85 / Max: 22.97Min: 22.05 / Avg: 22.11 / Max: 22.22Min: 9.95 / Avg: 9.96 / Max: 9.98Min: 20.56 / Avg: 20.63 / Max: 20.741. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: bf16bf16bf16 - Engine: CPUXeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R48121620SE +/- 0.00590, N = 3SE +/- 0.00688, N = 3SE +/- 0.01051, N = 3SE +/- 0.01030, N = 310.6210015.536308.714785.60446MIN: 9.94MIN: 14.84MIN: 8.51MIN: 5.481. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: bf16bf16bf16 - Engine: CPUXeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R48121620Min: 10.61 / Avg: 10.62 / Max: 10.63Min: 15.52 / Avg: 15.54 / Max: 15.55Min: 8.69 / Avg: 8.71 / Max: 8.73Min: 5.58 / Avg: 5.6 / Max: 5.621. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Boat - Acceleration: CPU-onlyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215SE +/- 0.005, N = 3SE +/- 0.018, N = 3SE +/- 0.015, N = 3SE +/- 0.014, N = 3SE +/- 0.020, N = 3SE +/- 0.012, N = 3SE +/- 0.019, N = 3SE +/- 0.045, N = 3SE +/- 0.024, N = 3SE +/- 0.012, N = 3SE +/- 0.012, N = 3SE +/- 0.003, N = 3SE +/- 0.054, N = 4SE +/- 0.034, N = 3SE +/- 0.013, N = 3SE +/- 0.045, N = 3SE +/- 0.009, N = 3SE +/- 0.019, N = 3SE +/- 0.021, N = 3SE +/- 0.019, N = 36.7675.5034.1054.4323.7203.7963.7253.7413.6483.4813.3113.4104.0505.6953.6023.7006.5869.1506.2036.144
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Boat - Acceleration: CPU-onlyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215Min: 6.76 / Avg: 6.77 / Max: 6.78Min: 5.48 / Avg: 5.5 / Max: 5.54Min: 4.09 / Avg: 4.11 / Max: 4.14Min: 4.42 / Avg: 4.43 / Max: 4.46Min: 3.68 / Avg: 3.72 / Max: 3.75Min: 3.77 / Avg: 3.8 / Max: 3.81Min: 3.69 / Avg: 3.73 / Max: 3.76Min: 3.69 / Avg: 3.74 / Max: 3.83Min: 3.62 / Avg: 3.65 / Max: 3.7Min: 3.47 / Avg: 3.48 / Max: 3.51Min: 3.29 / Avg: 3.31 / Max: 3.33Min: 3.41 / Avg: 3.41 / Max: 3.41Min: 3.91 / Avg: 4.05 / Max: 4.15Min: 5.66 / Avg: 5.69 / Max: 5.76Min: 3.59 / Avg: 3.6 / Max: 3.63Min: 3.65 / Avg: 3.7 / Max: 3.79Min: 6.57 / Avg: 6.59 / Max: 6.6Min: 9.12 / Avg: 9.15 / Max: 9.18Min: 6.18 / Avg: 6.2 / Max: 6.25Min: 6.11 / Avg: 6.14 / Max: 6.17

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1020304050SE +/- 0.19, N = 4SE +/- 0.14, N = 3SE +/- 0.25, N = 3SE +/- 0.32, N = 15SE +/- 0.03, N = 3SE +/- 0.32, N = 3SE +/- 0.29, N = 3SE +/- 0.93, N = 3SE +/- 0.23, N = 8SE +/- 0.37, N = 3SE +/- 0.40, N = 3SE +/- 0.84, N = 3SE +/- 0.62, N = 3SE +/- 0.30, N = 3SE +/- 0.18, N = 10SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.45, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 323.3519.2422.0126.5220.5022.3822.0424.8522.3025.8827.7831.7444.2920.2920.0421.7317.7516.4117.7417.231. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R918273645Min: 22.8 / Avg: 23.35 / Max: 23.65Min: 19.1 / Avg: 19.24 / Max: 19.52Min: 21.51 / Avg: 22.01 / Max: 22.31Min: 24.47 / Avg: 26.52 / Max: 28.49Min: 20.47 / Avg: 20.5 / Max: 20.55Min: 22.05 / Avg: 22.38 / Max: 23.01Min: 21.47 / Avg: 22.04 / Max: 22.39Min: 23.42 / Avg: 24.85 / Max: 26.6Min: 21.14 / Avg: 22.3 / Max: 23.26Min: 25.16 / Avg: 25.88 / Max: 26.41Min: 27.05 / Avg: 27.78 / Max: 28.44Min: 30.65 / Avg: 31.74 / Max: 33.39Min: 43.47 / Avg: 44.29 / Max: 45.5Min: 19.96 / Avg: 20.29 / Max: 20.89Min: 18.68 / Avg: 20.04 / Max: 20.7Min: 21.64 / Avg: 21.73 / Max: 21.86Min: 17.65 / Avg: 17.75 / Max: 17.94Min: 15.51 / Avg: 16.41 / Max: 16.87Min: 17.7 / Avg: 17.74 / Max: 17.81Min: 17.03 / Avg: 17.23 / Max: 17.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: MediumEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F521224364860SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 318.9728.3129.3028.1430.6030.3630.7930.1131.9444.7145.0851.1948.6823.1634.751. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: MediumEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F521020304050Min: 18.96 / Avg: 18.97 / Max: 18.98Min: 28.2 / Avg: 28.31 / Max: 28.39Min: 29.22 / Avg: 29.3 / Max: 29.46Min: 28.04 / Avg: 28.14 / Max: 28.26Min: 30.52 / Avg: 30.6 / Max: 30.67Min: 30.21 / Avg: 30.36 / Max: 30.58Min: 30.69 / Avg: 30.79 / Max: 30.85Min: 30.01 / Avg: 30.11 / Max: 30.19Min: 31.87 / Avg: 31.94 / Max: 31.99Min: 44.52 / Avg: 44.71 / Max: 44.88Min: 44.9 / Avg: 45.08 / Max: 45.18Min: 51.16 / Avg: 51.19 / Max: 51.24Min: 48.49 / Avg: 48.68 / Max: 48.79Min: 23.11 / Avg: 23.16 / Max: 23.24Min: 34.58 / Avg: 34.75 / Max: 34.851. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: SlowEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F521122334455SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.24, N = 3SE +/- 0.07, N = 3SE +/- 0.16, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 318.5327.5428.5727.5929.7329.7429.9929.5431.2743.9844.5449.8047.4122.6734.031. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: SlowEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F521020304050Min: 18.5 / Avg: 18.53 / Max: 18.57Min: 27.47 / Avg: 27.54 / Max: 27.66Min: 28.43 / Avg: 28.57 / Max: 28.66Min: 27.43 / Avg: 27.59 / Max: 27.68Min: 29.56 / Avg: 29.73 / Max: 29.85Min: 29.56 / Avg: 29.74 / Max: 29.85Min: 29.88 / Avg: 29.99 / Max: 30.06Min: 29.47 / Avg: 29.54 / Max: 29.59Min: 31.18 / Avg: 31.27 / Max: 31.41Min: 43.56 / Avg: 43.98 / Max: 44.38Min: 44.44 / Avg: 44.54 / Max: 44.67Min: 49.51 / Avg: 49.8 / Max: 50.07Min: 47.35 / Avg: 47.41 / Max: 47.45Min: 22.59 / Avg: 22.67 / Max: 22.72Min: 33.98 / Avg: 34.03 / Max: 34.081. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPUXeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1.21492.42983.64474.85966.0745SE +/- 0.00486, N = 3SE +/- 0.04464, N = 3SE +/- 0.00570, N = 3SE +/- 0.00160, N = 33.499005.399523.495342.03618MIN: 3.41MIN: 5.14MIN: 3.38MIN: 1.941. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPUXeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R246810Min: 3.49 / Avg: 3.5 / Max: 3.51Min: 5.33 / Avg: 5.4 / Max: 5.48Min: 3.49 / Avg: 3.5 / Max: 3.51Min: 2.03 / Avg: 2.04 / Max: 2.041. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPUXeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R612182430SE +/- 0.01706, N = 3SE +/- 0.01913, N = 3SE +/- 0.01827, N = 3SE +/- 0.00328, N = 316.3283024.8090016.300409.41196MIN: 16.23MIN: 24.73MIN: 16.23MIN: 9.061. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPUXeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R612182430Min: 16.29 / Avg: 16.33 / Max: 16.35Min: 24.77 / Avg: 24.81 / Max: 24.83Min: 16.27 / Avg: 16.3 / Max: 16.33Min: 9.41 / Avg: 9.41 / Max: 9.421. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

TTSIOD 3D Renderer

A portable GPL 3D software renderer that supports OpenMP and Intel Threading Building Blocks with many different rendering modes. This version does not use OpenGL but is entirely CPU/software based. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterTTSIOD 3D Renderer 2.3bPhong Rendering With Soft-Shadow MappingEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R2004006008001000SE +/- 1.15, N = 3SE +/- 0.93, N = 3SE +/- 3.78, N = 3SE +/- 7.21, N = 3SE +/- 8.62, N = 3SE +/- 5.12, N = 3SE +/- 3.81, N = 3SE +/- 4.59, N = 3SE +/- 3.71, N = 3SE +/- 7.28, N = 3SE +/- 8.34, N = 15SE +/- 2.19, N = 3SE +/- 4.75, N = 3SE +/- 0.46, N = 3SE +/- 1.41, N = 3SE +/- 3.68, N = 3SE +/- 0.70, N = 3SE +/- 0.53, N = 3SE +/- 1.05, N = 3SE +/- 0.99, N = 3335.86573.75562.70601.42722.39835.18857.35734.97854.03876.16851.38861.61710.07346.00593.00768.16492.95333.43494.01619.631. (CXX) g++ options: -O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -msse -mrecip -mfpmath=sse -msse2 -mssse3 -lSDL -fopenmp -fwhole-program -lstdc++
OpenBenchmarking.orgFPS, More Is BetterTTSIOD 3D Renderer 2.3bPhong Rendering With Soft-Shadow MappingEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R150300450600750Min: 334.12 / Avg: 335.86 / Max: 338.03Min: 572.74 / Avg: 573.75 / Max: 575.61Min: 555.16 / Avg: 562.7 / Max: 566.8Min: 589.76 / Avg: 601.42 / Max: 614.59Min: 706.02 / Avg: 722.39 / Max: 735.24Min: 826.38 / Avg: 835.18 / Max: 844.1Min: 849.83 / Avg: 857.35 / Max: 862.22Min: 727.27 / Avg: 734.97 / Max: 743.16Min: 846.67 / Avg: 854.03 / Max: 858.59Min: 864.6 / Avg: 876.16 / Max: 889.6Min: 820.21 / Avg: 851.38 / Max: 945Min: 857.78 / Avg: 861.61 / Max: 865.35Min: 701.61 / Avg: 710.07 / Max: 718.03Min: 345.39 / Avg: 346 / Max: 346.9Min: 590.18 / Avg: 593 / Max: 594.5Min: 760.8 / Avg: 768.16 / Max: 772.02Min: 491.84 / Avg: 492.95 / Max: 494.24Min: 332.38 / Avg: 333.43 / Max: 334.02Min: 492.95 / Avg: 494.01 / Max: 496.11Min: 618.09 / Avg: 619.63 / Max: 621.471. (CXX) g++ options: -O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -msse -mrecip -mfpmath=sse -msse2 -mssse3 -lSDL -fopenmp -fwhole-program -lstdc++

MariaDB

This is a MariaDB MySQL database server benchmark making use of mysqlslap. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.5.2Clients: 512EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R160320480640800SE +/- 0.77, N = 3SE +/- 0.73, N = 3SE +/- 0.13, N = 3SE +/- 0.69, N = 3SE +/- 0.35, N = 3SE +/- 0.17, N = 3SE +/- 0.58, N = 3SE +/- 0.52, N = 3SE +/- 0.53, N = 3SE +/- 0.49, N = 3SE +/- 0.79, N = 3SE +/- 0.51, N = 3SE +/- 1.03, N = 3SE +/- 2.03, N = 3SE +/- 0.61, N = 3SE +/- 0.93, N = 3SE +/- 1.26, N = 3SE +/- 0.70, N = 3SE +/- 1.25, N = 3SE +/- 1.35, N = 32804543833764153774093554323783833543562793874516304026467331. (CXX) g++ options: -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -ldl
OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.5.2Clients: 512EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R130260390520650Min: 278.24 / Avg: 279.59 / Max: 280.9Min: 453.31 / Avg: 454.13 / Max: 455.58Min: 382.85 / Avg: 383.09 / Max: 383.29Min: 375.23 / Avg: 375.99 / Max: 377.36Min: 414.08 / Avg: 414.65 / Max: 415.28Min: 377.22 / Avg: 377.45 / Max: 377.79Min: 408.16 / Avg: 409.17 / Max: 410.17Min: 354.36 / Avg: 355.33 / Max: 356.13Min: 431.59 / Avg: 432.22 / Max: 433.28Min: 376.79 / Avg: 377.64 / Max: 378.5Min: 381.97 / Avg: 383.1 / Max: 384.62Min: 353.36 / Avg: 354.15 / Max: 355.11Min: 354.74 / Avg: 356.47 / Max: 358.29Min: 275.41 / Avg: 279.23 / Max: 282.33Min: 386.1 / Avg: 386.85 / Max: 388.05Min: 449.84 / Avg: 451.06 / Max: 452.9Min: 627.35 / Avg: 629.6 / Max: 631.71Min: 400.48 / Avg: 401.72 / Max: 402.9Min: 644.33 / Avg: 645.58 / Max: 648.09Min: 730.99 / Avg: 732.61 / Max: 735.291. (CXX) g++ options: -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -ldl

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read WriteEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R10K20K30K40K50KSE +/- 6.01, N = 3SE +/- 146.28, N = 3SE +/- 7.57, N = 3SE +/- 29.87, N = 3SE +/- 83.89, N = 3SE +/- 51.77, N = 3SE +/- 103.00, N = 3SE +/- 86.15, N = 3SE +/- 78.00, N = 3SE +/- 118.60, N = 3SE +/- 102.56, N = 3SE +/- 101.15, N = 3SE +/- 299.63, N = 3SE +/- 18.08, N = 3SE +/- 117.64, N = 3SE +/- 148.55, N = 3SE +/- 45.48, N = 3SE +/- 32.00, N = 3SE +/- 56.29, N = 3SE +/- 65.76, N = 318537318412793331848325493145133924309823559232370308673323834154197002509333552418462654042716484501. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read WriteEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R8K16K24K32K40KMin: 18525.46 / Avg: 18537.25 / Max: 18545.21Min: 31637.31 / Avg: 31841.25 / Max: 32124.87Min: 27921.58 / Avg: 27932.63 / Max: 27947.12Min: 31809.01 / Avg: 31848.24 / Max: 31906.87Min: 32428.24 / Avg: 32548.65 / Max: 32710.05Min: 31352.08 / Avg: 31450.92 / Max: 31527.01Min: 33718.43 / Avg: 33924.16 / Max: 34036.14Min: 30849.2 / Avg: 30982.07 / Max: 31143.51Min: 35443.76 / Avg: 35592.46 / Max: 35707.68Min: 32178.15 / Avg: 32369.75 / Max: 32586.65Min: 30698.16 / Avg: 30866.88 / Max: 31052.26Min: 33083.24 / Avg: 33238.13 / Max: 33428.27Min: 33721.02 / Avg: 34154.35 / Max: 34729.48Min: 19663.54 / Avg: 19699.69 / Max: 19718.67Min: 24912.02 / Avg: 25092.89 / Max: 25313.65Min: 33256.53 / Avg: 33552.19 / Max: 33725.41Min: 41755.3 / Avg: 41845.51 / Max: 41900.7Min: 26491.74 / Avg: 26540.31 / Max: 26600.69Min: 42617.57 / Avg: 42716.3 / Max: 42812.53Min: 48356.21 / Avg: 48449.92 / Max: 48576.691. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1.21432.42863.64294.85726.0715SE +/- 0.002, N = 3SE +/- 0.014, N = 3SE +/- 0.001, N = 3SE +/- 0.003, N = 3SE +/- 0.008, N = 3SE +/- 0.005, N = 3SE +/- 0.009, N = 3SE +/- 0.009, N = 3SE +/- 0.006, N = 3SE +/- 0.012, N = 3SE +/- 0.010, N = 3SE +/- 0.009, N = 3SE +/- 0.025, N = 3SE +/- 0.005, N = 3SE +/- 0.019, N = 3SE +/- 0.014, N = 3SE +/- 0.003, N = 3SE +/- 0.005, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 35.3973.1443.5843.1443.0763.1842.9523.2322.8143.0953.2453.0142.9345.0793.9892.9842.3933.7702.3442.0661. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R246810Min: 5.4 / Avg: 5.4 / Max: 5.4Min: 3.12 / Avg: 3.14 / Max: 3.16Min: 3.58 / Avg: 3.58 / Max: 3.59Min: 3.14 / Avg: 3.14 / Max: 3.15Min: 3.06 / Avg: 3.08 / Max: 3.09Min: 3.18 / Avg: 3.18 / Max: 3.19Min: 2.94 / Avg: 2.95 / Max: 2.97Min: 3.22 / Avg: 3.23 / Max: 3.25Min: 2.81 / Avg: 2.81 / Max: 2.83Min: 3.07 / Avg: 3.1 / Max: 3.11Min: 3.23 / Avg: 3.25 / Max: 3.26Min: 3 / Avg: 3.01 / Max: 3.03Min: 2.89 / Avg: 2.93 / Max: 2.97Min: 5.07 / Avg: 5.08 / Max: 5.09Min: 3.95 / Avg: 3.99 / Max: 4.02Min: 2.97 / Avg: 2.98 / Max: 3.01Min: 2.39 / Avg: 2.39 / Max: 2.4Min: 3.76 / Avg: 3.77 / Max: 3.78Min: 2.34 / Avg: 2.34 / Max: 2.35Min: 2.06 / Avg: 2.07 / Max: 2.071. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read WriteEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R9K18K27K36K45KSE +/- 70.19, N = 3SE +/- 98.09, N = 3SE +/- 133.31, N = 3SE +/- 40.52, N = 3SE +/- 54.68, N = 3SE +/- 257.54, N = 3SE +/- 119.40, N = 3SE +/- 9.77, N = 3SE +/- 187.07, N = 3SE +/- 75.81, N = 3SE +/- 343.06, N = 3SE +/- 52.77, N = 3SE +/- 92.56, N = 3SE +/- 41.67, N = 3SE +/- 120.60, N = 3SE +/- 13.41, N = 3SE +/- 43.81, N = 3SE +/- 62.33, N = 3SE +/- 67.24, N = 3SE +/- 44.03, N = 315804294932469732751336863344736999325393854036572352493478536550177072395434826352842082235889408631. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read WriteEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R7K14K21K28K35KMin: 15702.99 / Avg: 15804.25 / Max: 15939.08Min: 29298.25 / Avg: 29493.13 / Max: 29610.16Min: 24473.27 / Avg: 24696.63 / Max: 24934.4Min: 32695.26 / Avg: 32751.07 / Max: 32829.86Min: 33587.24 / Avg: 33686.48 / Max: 33775.91Min: 32935.76 / Avg: 33446.85 / Max: 33757.82Min: 36803.87 / Avg: 36998.77 / Max: 37215.73Min: 32528.13 / Avg: 32539.44 / Max: 32558.9Min: 38166.46 / Avg: 38540.36 / Max: 38739.15Min: 36488.4 / Avg: 36572 / Max: 36723.35Min: 34574.19 / Avg: 35248.66 / Max: 35694.91Min: 34688.51 / Avg: 34784.98 / Max: 34870.28Min: 36387.68 / Avg: 36550.04 / Max: 36708.24Min: 17626.81 / Avg: 17707.46 / Max: 17765.95Min: 23803.1 / Avg: 23954.31 / Max: 24192.65Min: 34805.18 / Avg: 34825.59 / Max: 34850.86Min: 35238.16 / Avg: 35283.9 / Max: 35371.5Min: 20726.16 / Avg: 20821.87 / Max: 20938.9Min: 35760.25 / Avg: 35889.1 / Max: 35986.85Min: 40782.86 / Avg: 40862.7 / Max: 40934.781. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

MariaDB

This is a MariaDB MySQL database server benchmark making use of mysqlslap. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.5.2Clients: 256EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R160320480640800SE +/- 0.57, N = 3SE +/- 1.01, N = 3SE +/- 0.25, N = 3SE +/- 0.46, N = 3SE +/- 0.55, N = 3SE +/- 0.42, N = 3SE +/- 0.74, N = 3SE +/- 0.45, N = 3SE +/- 0.87, N = 3SE +/- 0.24, N = 3SE +/- 0.35, N = 3SE +/- 0.42, N = 3SE +/- 0.45, N = 3SE +/- 0.69, N = 3SE +/- 0.34, N = 3SE +/- 0.32, N = 3SE +/- 1.50, N = 3SE +/- 1.56, N = 3SE +/- 1.86, N = 3SE +/- 0.97, N = 32924593873794173794113584313793853543562873944556254036507421. (CXX) g++ options: -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -ldl
OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.5.2Clients: 256EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R130260390520650Min: 291.21 / Avg: 291.86 / Max: 293Min: 456.83 / Avg: 458.79 / Max: 460.19Min: 386.7 / Avg: 386.95 / Max: 387.45Min: 377.64 / Avg: 378.55 / Max: 379.08Min: 416.49 / Avg: 417.13 / Max: 418.24Min: 378.79 / Avg: 379.46 / Max: 380.23Min: 410.17 / Avg: 411.07 / Max: 412.54Min: 357.4 / Avg: 358.21 / Max: 358.94Min: 430.11 / Avg: 431.47 / Max: 433.09Min: 378.5 / Avg: 378.98 / Max: 379.22Min: 384.76 / Avg: 385.31 / Max: 385.95Min: 353.48 / Avg: 354.03 / Max: 354.86Min: 354.86 / Avg: 355.54 / Max: 356.38Min: 285.71 / Avg: 287.08 / Max: 287.77Min: 392.93 / Avg: 393.6 / Max: 394.01Min: 454.55 / Avg: 454.96 / Max: 455.58Min: 622.67 / Avg: 624.88 / Max: 627.75Min: 400 / Avg: 402.86 / Max: 405.35Min: 646.83 / Avg: 649.64 / Max: 653.17Min: 740.19 / Avg: 741.66 / Max: 743.491. (CXX) g++ options: -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -ldl

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R48121620SE +/- 0.070, N = 3SE +/- 0.028, N = 3SE +/- 0.055, N = 3SE +/- 0.010, N = 3SE +/- 0.012, N = 3SE +/- 0.058, N = 3SE +/- 0.021, N = 3SE +/- 0.003, N = 3SE +/- 0.032, N = 3SE +/- 0.014, N = 3SE +/- 0.069, N = 3SE +/- 0.011, N = 3SE +/- 0.020, N = 3SE +/- 0.034, N = 3SE +/- 0.052, N = 3SE +/- 0.003, N = 3SE +/- 0.009, N = 3SE +/- 0.036, N = 3SE +/- 0.013, N = 3SE +/- 0.007, N = 315.8278.48410.1317.6437.4307.4886.7677.6956.4976.8517.1097.2096.86514.12510.4447.1877.09212.0136.9736.1241. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R48121620Min: 15.69 / Avg: 15.83 / Max: 15.93Min: 8.45 / Avg: 8.48 / Max: 8.54Min: 10.03 / Avg: 10.13 / Max: 10.22Min: 7.62 / Avg: 7.64 / Max: 7.66Min: 7.41 / Avg: 7.43 / Max: 7.45Min: 7.42 / Avg: 7.49 / Max: 7.6Min: 6.73 / Avg: 6.77 / Max: 6.8Min: 7.69 / Avg: 7.7 / Max: 7.7Min: 6.46 / Avg: 6.5 / Max: 6.56Min: 6.82 / Avg: 6.85 / Max: 6.87Min: 7.02 / Avg: 7.11 / Max: 7.25Min: 7.19 / Avg: 7.21 / Max: 7.23Min: 6.83 / Avg: 6.86 / Max: 6.9Min: 14.08 / Avg: 14.13 / Max: 14.19Min: 10.34 / Avg: 10.44 / Max: 10.51Min: 7.18 / Avg: 7.19 / Max: 7.19Min: 7.08 / Avg: 7.09 / Max: 7.1Min: 11.95 / Avg: 12.01 / Max: 12.07Min: 6.95 / Avg: 6.97 / Max: 7Min: 6.11 / Avg: 6.12 / Max: 6.141. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Very FastEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F5220406080100SE +/- 0.10, N = 3SE +/- 0.17, N = 3SE +/- 0.21, N = 3SE +/- 0.16, N = 3SE +/- 0.05, N = 3SE +/- 0.20, N = 3SE +/- 0.21, N = 3SE +/- 0.19, N = 3SE +/- 0.33, N = 3SE +/- 0.21, N = 3SE +/- 0.12, N = 3SE +/- 0.34, N = 3SE +/- 0.41, N = 3SE +/- 0.09, N = 3SE +/- 0.27, N = 343.2061.8462.0060.1165.3761.5062.5761.3266.1796.3298.47109.17107.9952.6067.241. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Very FastEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F5220406080100Min: 43.05 / Avg: 43.2 / Max: 43.38Min: 61.65 / Avg: 61.84 / Max: 62.19Min: 61.62 / Avg: 62 / Max: 62.36Min: 59.79 / Avg: 60.11 / Max: 60.31Min: 65.28 / Avg: 65.37 / Max: 65.44Min: 61.15 / Avg: 61.5 / Max: 61.83Min: 62.36 / Avg: 62.57 / Max: 62.98Min: 60.96 / Avg: 61.32 / Max: 61.6Min: 65.63 / Avg: 66.17 / Max: 66.76Min: 96.05 / Avg: 96.32 / Max: 96.73Min: 98.24 / Avg: 98.47 / Max: 98.62Min: 108.49 / Avg: 109.17 / Max: 109.57Min: 107.18 / Avg: 107.99 / Max: 108.5Min: 52.46 / Avg: 52.6 / Max: 52.77Min: 66.7 / Avg: 67.24 / Max: 67.551. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

MariaDB

This is a MariaDB MySQL database server benchmark making use of mysqlslap. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.5.2Clients: 128EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R2004006008001000SE +/- 0.41, N = 3SE +/- 1.58, N = 3SE +/- 1.16, N = 3SE +/- 0.66, N = 3SE +/- 0.73, N = 3SE +/- 0.77, N = 3SE +/- 0.28, N = 3SE +/- 0.76, N = 3SE +/- 0.80, N = 3SE +/- 1.01, N = 3SE +/- 0.83, N = 3SE +/- 0.38, N = 3SE +/- 1.02, N = 3SE +/- 0.47, N = 3SE +/- 1.22, N = 3SE +/- 1.64, N = 3SE +/- 1.19, N = 3SE +/- 2.77, N = 3SE +/- 0.75, N = 3SE +/- 0.69, N = 33595544654555014534954305174574644264323514765477715027938871. (CXX) g++ options: -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -ldl
OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.5.2Clients: 128EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R160320480640800Min: 358.68 / Avg: 359.41 / Max: 360.1Min: 551.88 / Avg: 554.03 / Max: 557.1Min: 463.82 / Avg: 465.19 / Max: 467.51Min: 453.72 / Avg: 454.82 / Max: 456Min: 499.5 / Avg: 500.67 / Max: 502.01Min: 451.26 / Avg: 452.56 / Max: 453.93Min: 494.56 / Avg: 495.05 / Max: 495.54Min: 428.45 / Avg: 429.62 / Max: 431.03Min: 516.26 / Avg: 517.07 / Max: 518.67Min: 455.58 / Avg: 456.69 / Max: 458.72Min: 462.75 / Avg: 463.97 / Max: 465.55Min: 425.71 / Avg: 426.44 / Max: 426.99Min: 429.74 / Avg: 431.54 / Max: 433.28Min: 349.9 / Avg: 350.84 / Max: 351.37Min: 474.38 / Avg: 475.82 / Max: 478.24Min: 544.07 / Avg: 546.96 / Max: 549.75Min: 769.82 / Avg: 771.01 / Max: 773.4Min: 499 / Avg: 502.37 / Max: 507.87Min: 791.14 / Avg: 792.6 / Max: 793.65Min: 885.74 / Avg: 887.05 / Max: 888.11. (CXX) g++ options: -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -ldl

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: System V Message PassingEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R4M8M12M16M20MSE +/- 65857.23, N = 3SE +/- 17504.90, N = 3SE +/- 162466.69, N = 3SE +/- 28849.95, N = 3SE +/- 36622.92, N = 3SE +/- 68594.59, N = 3SE +/- 15756.34, N = 3SE +/- 181654.19, N = 3SE +/- 31948.05, N = 3SE +/- 39273.11, N = 3SE +/- 82031.38, N = 3SE +/- 8693.64, N = 3SE +/- 23882.84, N = 3SE +/- 98081.03, N = 4SE +/- 92644.45, N = 10SE +/- 196361.88, N = 3SE +/- 82930.50, N = 15SE +/- 3313.40, N = 3SE +/- 111219.96, N = 15SE +/- 145327.08, N = 158164377.0413739556.1110809670.8912882446.4413675041.1915441087.3215763728.2112736083.5715672529.4516692287.1816073708.7918193151.0217265800.067202954.6810221764.7812740323.697787166.309082839.228324065.919444253.441. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: System V Message PassingEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3M6M9M12M15MMin: 8077208.27 / Avg: 8164377.04 / Max: 8293475.93Min: 13706010.75 / Avg: 13739556.11 / Max: 13765006.16Min: 10514108.1 / Avg: 10809670.89 / Max: 11074363.58Min: 12828493.76 / Avg: 12882446.44 / Max: 12927136.91Min: 13605012.44 / Avg: 13675041.19 / Max: 13728648.43Min: 15342013.8 / Avg: 15441087.32 / Max: 15572806.7Min: 15739230.05 / Avg: 15763728.21 / Max: 15793143.16Min: 12401795.36 / Avg: 12736083.57 / Max: 13026448.11Min: 15611649.68 / Avg: 15672529.45 / Max: 15719770.35Min: 16641022.42 / Avg: 16692287.18 / Max: 16769456.69Min: 15946178.31 / Avg: 16073708.79 / Max: 16226857.62Min: 18175867.8 / Avg: 18193151.02 / Max: 18203437.54Min: 17223160.56 / Avg: 17265800.06 / Max: 17305763.18Min: 7034313.05 / Avg: 7202954.68 / Max: 7486487.21Min: 9589426.86 / Avg: 10221764.78 / Max: 10670115.37Min: 12436522.18 / Avg: 12740323.69 / Max: 13107752.74Min: 7333016.99 / Avg: 7787166.3 / Max: 8018136.88Min: 9078819.99 / Avg: 9082839.22 / Max: 9089411.74Min: 7736351.46 / Avg: 8324065.91 / Max: 8674803.47Min: 8775975.09 / Avg: 9444253.44 / Max: 9964929.931. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read WriteEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R10K20K30K40K50KSE +/- 63.42, N = 3SE +/- 8.44, N = 3SE +/- 39.29, N = 3SE +/- 50.55, N = 3SE +/- 61.93, N = 3SE +/- 47.34, N = 3SE +/- 61.39, N = 3SE +/- 9.07, N = 3SE +/- 52.82, N = 3SE +/- 112.34, N = 3SE +/- 128.39, N = 3SE +/- 433.11, N = 4SE +/- 235.98, N = 3SE +/- 32.81, N = 3SE +/- 27.39, N = 3SE +/- 26.07, N = 3SE +/- 36.02, N = 3SE +/- 35.67, N = 3SE +/- 59.39, N = 3SE +/- 87.55, N = 318634262872332824128243612556026847247002760629894276403339537125184022657525274403652866140586459741. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read WriteEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R8K16K24K32K40KMin: 18557.87 / Avg: 18634.35 / Max: 18760.23Min: 26271.36 / Avg: 26287.44 / Max: 26299.92Min: 23279.56 / Avg: 23328.38 / Max: 23406.12Min: 24041.38 / Avg: 24128.48 / Max: 24216.49Min: 24247.97 / Avg: 24360.89 / Max: 24461.41Min: 25466.21 / Avg: 25560.04 / Max: 25617.95Min: 26724.57 / Avg: 26847.3 / Max: 26911.7Min: 24686.51 / Avg: 24700.11 / Max: 24717.31Min: 27501.47 / Avg: 27606.4 / Max: 27669.46Min: 29689.46 / Avg: 29894.23 / Max: 30076.7Min: 27475.35 / Avg: 27639.96 / Max: 27892.95Min: 32432.72 / Avg: 33395.1 / Max: 34538.91Min: 36685.88 / Avg: 37125 / Max: 37494.37Min: 18359.16 / Avg: 18402.47 / Max: 18466.82Min: 26520.78 / Avg: 26575.42 / Max: 26606.09Min: 25243.86 / Avg: 25274.39 / Max: 25326.27Min: 40298.02 / Avg: 40365.08 / Max: 40421.4Min: 28617.73 / Avg: 28660.8 / Max: 28731.58Min: 40487.96 / Avg: 40586.18 / Max: 40693.14Min: 45848.29 / Avg: 45974.32 / Max: 46142.621. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read Write - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R0.61161.22321.83482.44643.058SE +/- 0.009, N = 3SE +/- 0.001, N = 3SE +/- 0.004, N = 3SE +/- 0.004, N = 3SE +/- 0.005, N = 3SE +/- 0.004, N = 3SE +/- 0.004, N = 3SE +/- 0.001, N = 3SE +/- 0.004, N = 3SE +/- 0.006, N = 3SE +/- 0.009, N = 3SE +/- 0.019, N = 4SE +/- 0.008, N = 3SE +/- 0.005, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 32.6841.9032.1442.0732.0531.9571.8632.0251.8121.6731.8101.4991.3472.7181.8821.9791.2391.7451.2321.0881. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read Write - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R246810Min: 2.67 / Avg: 2.68 / Max: 2.7Min: 1.9 / Avg: 1.9 / Max: 1.9Min: 2.14 / Avg: 2.14 / Max: 2.15Min: 2.07 / Avg: 2.07 / Max: 2.08Min: 2.05 / Avg: 2.05 / Max: 2.06Min: 1.95 / Avg: 1.96 / Max: 1.96Min: 1.86 / Avg: 1.86 / Max: 1.87Min: 2.02 / Avg: 2.03 / Max: 2.03Min: 1.81 / Avg: 1.81 / Max: 1.82Min: 1.66 / Avg: 1.67 / Max: 1.69Min: 1.79 / Avg: 1.81 / Max: 1.82Min: 1.45 / Avg: 1.5 / Max: 1.54Min: 1.33 / Avg: 1.35 / Max: 1.36Min: 2.71 / Avg: 2.72 / Max: 2.72Min: 1.88 / Avg: 1.88 / Max: 1.89Min: 1.98 / Avg: 1.98 / Max: 1.98Min: 1.24 / Avg: 1.24 / Max: 1.24Min: 1.74 / Avg: 1.75 / Max: 1.75Min: 1.23 / Avg: 1.23 / Max: 1.24Min: 1.08 / Avg: 1.09 / Max: 1.091. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

NeatBench

NeatBench is a benchmark of the cross-platform Neat Video software on the CPU and optional GPU (OpenCL / CUDA) support. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterNeatBench 5Acceleration: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R918273645SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.28, N = 3SE +/- 0.12, N = 3SE +/- 0.10, N = 3SE +/- 0.20, N = 3SE +/- 0.09, N = 3SE +/- 0.24, N = 3SE +/- 0.12, N = 3SE +/- 0.25, N = 3SE +/- 0.21, N = 3SE +/- 0.15, N = 3SE +/- 0.15, N = 3SE +/- 0.03, N = 3SE +/- 0.15, N = 3SE +/- 0.10, N = 318.627.431.832.535.235.236.334.936.736.035.034.133.924.535.739.222.315.723.227.3
OpenBenchmarking.orgFPS, More Is BetterNeatBench 5Acceleration: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R816243240Min: 18.5 / Avg: 18.63 / Max: 18.8Min: 27.2 / Avg: 27.37 / Max: 27.5Min: 31.6 / Avg: 31.77 / Max: 32Min: 32.4 / Avg: 32.5 / Max: 32.6Min: 35 / Avg: 35.2 / Max: 35.4Min: 35.1 / Avg: 35.17 / Max: 35.2Min: 35.7 / Avg: 36.27 / Max: 36.6Min: 34.7 / Avg: 34.9 / Max: 35.1Min: 36.6 / Avg: 36.7 / Max: 36.9Min: 35.7 / Avg: 36.03 / Max: 36.4Min: 34.9 / Avg: 35.03 / Max: 35.2Min: 33.8 / Avg: 34.13 / Max: 34.6Min: 33.7 / Avg: 33.9 / Max: 34.1Min: 24 / Avg: 24.5 / Max: 24.8Min: 35.4 / Avg: 35.7 / Max: 36.1Min: 39 / Avg: 39.2 / Max: 39.5Min: 22.1 / Avg: 22.33 / Max: 22.6Min: 15.6 / Avg: 15.67 / Max: 15.7Min: 23 / Avg: 23.23 / Max: 23.5Min: 27.2 / Avg: 27.3 / Max: 27.5

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: bf16bf16bf16 - Engine: CPUXeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R612182430SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 317.3526.2917.3510.53MIN: 17.06MIN: 25.84MIN: 17.06MIN: 10.331. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: bf16bf16bf16 - Engine: CPUXeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R612182430Min: 17.34 / Avg: 17.35 / Max: 17.36Min: 26.24 / Avg: 26.29 / Max: 26.32Min: 17.33 / Avg: 17.35 / Max: 17.37Min: 10.53 / Avg: 10.53 / Max: 10.541. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: bf16bf16bf16 - Engine: CPUXeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R4080120160200SE +/- 0.02, N = 3SE +/- 0.16, N = 3SE +/- 0.66, N = 3SE +/- 0.02, N = 3128.77187.81114.9175.67MIN: 125.19MIN: 184.97MIN: 113.14MIN: 75.021. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: bf16bf16bf16 - Engine: CPUXeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R306090120150Min: 128.73 / Avg: 128.77 / Max: 128.81Min: 187.53 / Avg: 187.81 / Max: 188.08Min: 114.22 / Avg: 114.91 / Max: 116.22Min: 75.64 / Avg: 75.67 / Max: 75.691. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: ForkingEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R20K40K60K80K100KSE +/- 71.48, N = 3SE +/- 152.36, N = 3SE +/- 275.30, N = 3SE +/- 1348.73, N = 15SE +/- 1239.94, N = 15SE +/- 920.22, N = 4SE +/- 241.08, N = 3SE +/- 341.83, N = 3SE +/- 437.03, N = 3SE +/- 468.99, N = 15SE +/- 321.18, N = 3SE +/- 60.18, N = 3SE +/- 176.57, N = 3SE +/- 239.10, N = 3SE +/- 229.75, N = 3SE +/- 490.90, N = 14SE +/- 215.61, N = 3SE +/- 295.94, N = 3SE +/- 68.12, N = 3SE +/- 105.50, N = 338055.4865784.9159610.9861161.4964404.9361372.6763083.5852852.2764460.6352421.1651763.1351197.8151183.2837856.2159402.6161253.7884388.0556576.9983963.4493138.531. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: ForkingEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R16K32K48K64K80KMin: 37912.54 / Avg: 38055.48 / Max: 38128.59Min: 65481.22 / Avg: 65784.91 / Max: 65958.47Min: 59178.64 / Avg: 59610.98 / Max: 60122.42Min: 53679.74 / Avg: 61161.49 / Max: 66058.07Min: 56916.25 / Avg: 64404.93 / Max: 69223.31Min: 58752.25 / Avg: 61372.67 / Max: 62931.84Min: 62764.22 / Avg: 63083.58 / Max: 63556.1Min: 52179.66 / Avg: 52852.27 / Max: 53294.56Min: 63717.54 / Avg: 64460.63 / Max: 65230.73Min: 48119.17 / Avg: 52421.16 / Max: 53819.68Min: 51177.38 / Avg: 51763.13 / Max: 52284.35Min: 51112.45 / Avg: 51197.81 / Max: 51313.99Min: 50839.81 / Avg: 51183.28 / Max: 51426.06Min: 37556.37 / Avg: 37856.21 / Max: 38328.73Min: 58959.13 / Avg: 59402.61 / Max: 59728.54Min: 58118.01 / Avg: 61253.78 / Max: 64354.32Min: 84063.02 / Avg: 84388.05 / Max: 84795.99Min: 56043.87 / Avg: 56576.99 / Max: 57066.21Min: 83853.98 / Avg: 83963.44 / Max: 84088.41Min: 92967.45 / Avg: 93138.53 / Max: 93331.021. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra FastEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F524080120160200SE +/- 0.19, N = 3SE +/- 0.51, N = 3SE +/- 0.22, N = 3SE +/- 0.21, N = 3SE +/- 0.17, N = 3SE +/- 0.04, N = 3SE +/- 0.17, N = 3SE +/- 0.40, N = 3SE +/- 0.28, N = 3SE +/- 1.18, N = 3SE +/- 0.42, N = 3SE +/- 1.31, N = 3SE +/- 1.40, N = 3SE +/- 0.59, N = 3SE +/- 0.51, N = 377.76107.66105.75109.29117.43115.55118.75113.40124.64170.06171.94191.27189.5593.41104.221. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra FastEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F524080120160200Min: 77.38 / Avg: 77.76 / Max: 77.98Min: 106.77 / Avg: 107.66 / Max: 108.55Min: 105.49 / Avg: 105.75 / Max: 106.19Min: 108.92 / Avg: 109.29 / Max: 109.66Min: 117.12 / Avg: 117.43 / Max: 117.72Min: 115.5 / Avg: 115.55 / Max: 115.63Min: 118.41 / Avg: 118.75 / Max: 118.92Min: 112.95 / Avg: 113.4 / Max: 114.21Min: 124.22 / Avg: 124.64 / Max: 125.16Min: 167.84 / Avg: 170.06 / Max: 171.84Min: 171.12 / Avg: 171.94 / Max: 172.47Min: 189.77 / Avg: 191.27 / Max: 193.89Min: 187.98 / Avg: 189.55 / Max: 192.35Min: 92.24 / Avg: 93.41 / Max: 94.08Min: 103.22 / Avg: 104.22 / Max: 104.871. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: MEMFDEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R2004006008001000SE +/- 0.74, N = 3SE +/- 1.22, N = 3SE +/- 0.52, N = 3SE +/- 0.04, N = 3SE +/- 0.30, N = 3SE +/- 0.56, N = 3SE +/- 0.10, N = 3SE +/- 1.30, N = 3SE +/- 0.23, N = 3SE +/- 0.94, N = 3SE +/- 0.40, N = 3SE +/- 1.72, N = 3SE +/- 0.42, N = 3SE +/- 0.38, N = 3SE +/- 0.53, N = 3SE +/- 0.34, N = 3SE +/- 0.35, N = 3SE +/- 1.87, N = 3SE +/- 0.68, N = 3SE +/- 1.36, N = 3442.13695.56649.31707.49739.98823.81840.30792.81836.01872.77858.84986.80983.70435.36644.30746.29923.43612.55912.501067.331. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: MEMFDEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R2004006008001000Min: 441.37 / Avg: 442.13 / Max: 443.6Min: 693.24 / Avg: 695.56 / Max: 697.37Min: 648.31 / Avg: 649.31 / Max: 650.07Min: 707.4 / Avg: 707.49 / Max: 707.54Min: 739.39 / Avg: 739.98 / Max: 740.39Min: 823.23 / Avg: 823.81 / Max: 824.93Min: 840.11 / Avg: 840.3 / Max: 840.42Min: 790.21 / Avg: 792.81 / Max: 794.15Min: 835.58 / Avg: 836.01 / Max: 836.35Min: 870.9 / Avg: 872.77 / Max: 873.71Min: 858.1 / Avg: 858.84 / Max: 859.49Min: 983.37 / Avg: 986.8 / Max: 988.57Min: 983.26 / Avg: 983.7 / Max: 984.54Min: 434.92 / Avg: 435.36 / Max: 436.11Min: 643.63 / Avg: 644.3 / Max: 645.36Min: 745.85 / Avg: 746.29 / Max: 746.96Min: 922.77 / Avg: 923.43 / Max: 923.94Min: 610.48 / Avg: 612.55 / Max: 616.29Min: 911.57 / Avg: 912.5 / Max: 913.82Min: 1065.7 / Avg: 1067.33 / Max: 1070.031. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R100200300400500SE +/- 4.52, N = 3SE +/- 2.12, N = 3SE +/- 1.62, N = 3SE +/- 1.50, N = 3SE +/- 1.16, N = 3SE +/- 3.37, N = 3SE +/- 0.92, N = 3SE +/- 0.34, N = 3SE +/- 1.68, N = 3SE +/- 0.55, N = 3SE +/- 1.67, N = 3SE +/- 2.80, N = 3SE +/- 1.45, N = 3SE +/- 3.22, N = 3SE +/- 0.42, N = 3SE +/- 0.17, N = 3SE +/- 1.04, N = 3SE +/- 0.16, N = 3SE +/- 0.17, N = 3SE +/- 0.20, N = 3373.07260.47260.18305.55252.12277.10265.01289.88251.43330.09309.36381.92442.85354.73230.35227.11325.20381.41251.38180.711. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R80160240320400Min: 364.04 / Avg: 373.07 / Max: 377.83Min: 256.85 / Avg: 260.47 / Max: 264.18Min: 258.39 / Avg: 260.18 / Max: 263.42Min: 302.75 / Avg: 305.55 / Max: 307.86Min: 250.69 / Avg: 252.12 / Max: 254.42Min: 270.87 / Avg: 277.1 / Max: 282.42Min: 264.04 / Avg: 265.01 / Max: 266.85Min: 289.39 / Avg: 289.88 / Max: 290.54Min: 248.87 / Avg: 251.43 / Max: 254.59Min: 329.07 / Avg: 330.09 / Max: 330.98Min: 306.05 / Avg: 309.36 / Max: 311.45Min: 376.52 / Avg: 381.92 / Max: 385.92Min: 440.47 / Avg: 442.85 / Max: 445.47Min: 348.31 / Avg: 354.72 / Max: 358.52Min: 229.56 / Avg: 230.35 / Max: 230.99Min: 226.77 / Avg: 227.11 / Max: 227.31Min: 323.13 / Avg: 325.2 / Max: 326.34Min: 381.13 / Avg: 381.41 / Max: 381.69Min: 251.05 / Avg: 251.38 / Max: 251.64Min: 180.46 / Avg: 180.71 / Max: 181.11. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

ASKAP

This is a CUDA benchmark of ATNF's ASKAP Benchmark with currently using the tConvolveCuda sub-test. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 2018-11-10Test: tConvolve OpenMP - DegriddingEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R12002400360048006000SE +/- 15.38, N = 15SE +/- 7.84, N = 15SE +/- 34.25, N = 3SE +/- 22.72, N = 3SE +/- 0.00, N = 3SE +/- 6.40, N = 15SE +/- 9.17, N = 15SE +/- 56.08, N = 15SE +/- 11.78, N = 15SE +/- 17.18, N = 15SE +/- 50.20, N = 2SE +/- 95.65, N = 3SE +/- 71.03, N = 3SE +/- 25.93, N = 15SE +/- 0.00, N = 3SE +/- 27.80, N = 3SE +/- 24.68, N = 15SE +/- 27.30, N = 12SE +/- 49.32, N = 3SE +/- 31.01, N = 32210.522859.173974.564249.014294.454355.464413.354815.114394.114853.635170.515400.505291.742552.564754.574726.774232.802377.274414.174992.691. (CXX) g++ options: -lpthread
OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 2018-11-10Test: tConvolve OpenMP - DegriddingEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R9001800270036004500Min: 2080.12 / Avg: 2210.52 / Max: 2256.41Min: 2802.69 / Avg: 2859.17 / Max: 2894.09Min: 3915.53 / Avg: 3974.56 / Max: 4034.18Min: 4226.29 / Avg: 4249.01 / Max: 4294.45Min: 4294.45 / Avg: 4294.45 / Max: 4294.45Min: 4294.45 / Avg: 4355.46 / Max: 4364.85Min: 4364.85 / Avg: 4413.35 / Max: 4437.6Min: 4512.81 / Avg: 4815.11 / Max: 5220.71Min: 4294.45 / Avg: 4394.11 / Max: 4437.6Min: 4754.57 / Avg: 4853.63 / Max: 5023.7Min: 5120.31 / Avg: 5170.51 / Max: 5220.71Min: 5220.71 / Avg: 5400.5 / Max: 5547Min: 5220.71 / Avg: 5291.74 / Max: 5433.8Min: 2315.27 / Avg: 2552.56 / Max: 2689.45Min: 4754.57 / Avg: 4754.57 / Max: 4754.57Min: 4671.16 / Avg: 4726.77 / Max: 4754.57Min: 4034.18 / Avg: 4232.8 / Max: 4364.85Min: 2200.46 / Avg: 2377.27 / Max: 2488.37Min: 4364.85 / Avg: 4414.17 / Max: 4512.81Min: 4930.67 / Avg: 4992.69 / Max: 5023.71. (CXX) g++ options: -lpthread

OpenVINO

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 6226R8001600240032004000SE +/- 13.27, N = 3SE +/- 4.62, N = 3SE +/- 4.74, N = 3SE +/- 4.14, N = 3SE +/- 3.22, N = 3SE +/- 1.26, N = 3SE +/- 1.51, N = 3SE +/- 2.71, N = 3SE +/- 2.01, N = 3SE +/- 1.56, N = 3SE +/- 0.89, N = 3SE +/- 4.17, N = 3SE +/- 14.96, N = 3SE +/- 4.52, N = 3SE +/- 7.58, N = 3SE +/- 2.69, N = 3SE +/- 12.74, N = 3SE +/- 1.28, N = 32597.692677.812600.472991.162614.513070.662792.732896.792604.683248.813092.813508.023839.871998.072056.942275.813561.921576.481. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 6226R7001400210028003500Min: 2571.87 / Avg: 2597.69 / Max: 2615.92Min: 2668.76 / Avg: 2677.81 / Max: 2683.98Min: 2594.08 / Avg: 2600.47 / Max: 2609.73Min: 2982.89 / Avg: 2991.16 / Max: 2995.63Min: 2608.68 / Avg: 2614.51 / Max: 2619.8Min: 3069.11 / Avg: 3070.66 / Max: 3073.15Min: 2790.22 / Avg: 2792.73 / Max: 2795.45Min: 2893.86 / Avg: 2896.79 / Max: 2902.21Min: 2600.93 / Avg: 2604.68 / Max: 2607.81Min: 3246.75 / Avg: 3248.81 / Max: 3251.86Min: 3091.18 / Avg: 3092.81 / Max: 3094.24Min: 3499.99 / Avg: 3508.02 / Max: 3514.01Min: 3819.73 / Avg: 3839.87 / Max: 3869.1Min: 1992.29 / Avg: 1998.07 / Max: 2006.99Min: 2043.82 / Avg: 2056.94 / Max: 2070.07Min: 2271.29 / Avg: 2275.81 / Max: 2280.6Min: 3540.12 / Avg: 3561.92 / Max: 3584.24Min: 1573.96 / Avg: 1576.48 / Max: 1578.111. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Masskrug - Acceleration: CPU-onlyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1.33132.66263.99395.32526.6565SE +/- 0.017, N = 3SE +/- 0.006, N = 3SE +/- 0.006, N = 3SE +/- 0.018, N = 3SE +/- 0.005, N = 3SE +/- 0.023, N = 3SE +/- 0.015, N = 3SE +/- 0.013, N = 3SE +/- 0.020, N = 3SE +/- 0.041, N = 15SE +/- 0.043, N = 3SE +/- 0.042, N = 4SE +/- 0.032, N = 3SE +/- 0.015, N = 3SE +/- 0.008, N = 3SE +/- 0.014, N = 3SE +/- 0.013, N = 3SE +/- 0.010, N = 3SE +/- 0.025, N = 3SE +/- 0.018, N = 35.9173.5403.2922.9812.6992.5542.5032.6072.4382.8052.8913.2163.1904.8202.9072.6124.0125.7583.8743.565
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Masskrug - Acceleration: CPU-onlyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R246810Min: 5.88 / Avg: 5.92 / Max: 5.94Min: 3.53 / Avg: 3.54 / Max: 3.55Min: 3.28 / Avg: 3.29 / Max: 3.3Min: 2.95 / Avg: 2.98 / Max: 3.01Min: 2.69 / Avg: 2.7 / Max: 2.71Min: 2.52 / Avg: 2.55 / Max: 2.6Min: 2.47 / Avg: 2.5 / Max: 2.52Min: 2.58 / Avg: 2.61 / Max: 2.63Min: 2.4 / Avg: 2.44 / Max: 2.47Min: 2.39 / Avg: 2.8 / Max: 2.98Min: 2.82 / Avg: 2.89 / Max: 2.97Min: 3.11 / Avg: 3.22 / Max: 3.31Min: 3.13 / Avg: 3.19 / Max: 3.24Min: 4.8 / Avg: 4.82 / Max: 4.85Min: 2.89 / Avg: 2.91 / Max: 2.92Min: 2.59 / Avg: 2.61 / Max: 2.63Min: 3.99 / Avg: 4.01 / Max: 4.04Min: 5.75 / Avg: 5.76 / Max: 5.78Min: 3.82 / Avg: 3.87 / Max: 3.91Min: 3.54 / Avg: 3.56 / Max: 3.6

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 3.1EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R48121620SE +/- 0.05268, N = 3SE +/- 0.02302, N = 3SE +/- 0.06961, N = 3SE +/- 0.01739, N = 3SE +/- 0.01027, N = 3SE +/- 0.00575, N = 3SE +/- 0.01557, N = 3SE +/- 0.08758, N = 3SE +/- 0.01510, N = 3SE +/- 0.02604, N = 3SE +/- 0.01654, N = 3SE +/- 0.00693, N = 3SE +/- 0.21777, N = 3SE +/- 0.07227, N = 3SE +/- 0.16459, N = 3SE +/- 0.01357, N = 3SE +/- 0.05127, N = 3SE +/- 0.10991, N = 3SE +/- 0.04105, N = 3SE +/- 0.15767, N = 38.695428.9463415.4137011.9378015.5604015.1136015.1995017.6902015.1246016.5508017.5974017.3476015.785009.1933517.7328017.240609.713427.3197210.4667011.506901. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R48121620Min: 8.59 / Avg: 8.7 / Max: 8.75Min: 8.92 / Avg: 8.95 / Max: 8.99Min: 15.28 / Avg: 15.41 / Max: 15.5Min: 11.9 / Avg: 11.94 / Max: 11.96Min: 15.54 / Avg: 15.56 / Max: 15.58Min: 15.1 / Avg: 15.11 / Max: 15.12Min: 15.17 / Avg: 15.2 / Max: 15.23Min: 17.54 / Avg: 17.69 / Max: 17.84Min: 15.1 / Avg: 15.12 / Max: 15.15Min: 16.51 / Avg: 16.55 / Max: 16.6Min: 17.57 / Avg: 17.6 / Max: 17.63Min: 17.34 / Avg: 17.35 / Max: 17.36Min: 15.52 / Avg: 15.79 / Max: 16.22Min: 9.05 / Avg: 9.19 / Max: 9.27Min: 17.41 / Avg: 17.73 / Max: 17.96Min: 17.21 / Avg: 17.24 / Max: 17.26Min: 9.64 / Avg: 9.71 / Max: 9.81Min: 7.19 / Avg: 7.32 / Max: 7.54Min: 10.39 / Avg: 10.47 / Max: 10.52Min: 11.21 / Avg: 11.51 / Max: 11.751. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi

Sunflow Rendering System

This test runs benchmarks of the Sunflow Rendering System. The Sunflow Rendering System is an open-source render engine for photo-realistic image synthesis with a ray-tracing core. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSunflow Rendering System 0.07.2Global Illumination + Image SynthesisEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R0.3510.7021.0531.4041.755SE +/- 0.028, N = 15SE +/- 0.011, N = 6SE +/- 0.013, N = 15SE +/- 0.009, N = 15SE +/- 0.008, N = 15SE +/- 0.008, N = 3SE +/- 0.004, N = 3SE +/- 0.009, N = 3SE +/- 0.008, N = 15SE +/- 0.007, N = 15SE +/- 0.007, N = 15SE +/- 0.007, N = 3SE +/- 0.009, N = 4SE +/- 0.021, N = 15SE +/- 0.014, N = 15SE +/- 0.009, N = 15SE +/- 0.010, N = 10SE +/- 0.012, N = 3SE +/- 0.011, N = 3SE +/- 0.017, N = 31.5600.9200.9320.8010.7530.6860.6880.7210.6550.6530.6440.7010.6821.4210.8620.6991.1391.5071.0680.967
OpenBenchmarking.orgSeconds, Fewer Is BetterSunflow Rendering System 0.07.2Global Illumination + Image SynthesisEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R246810Min: 1.4 / Avg: 1.56 / Max: 1.76Min: 0.88 / Avg: 0.92 / Max: 0.95Min: 0.81 / Avg: 0.93 / Max: 1.03Min: 0.75 / Avg: 0.8 / Max: 0.87Min: 0.7 / Avg: 0.75 / Max: 0.81Min: 0.67 / Avg: 0.69 / Max: 0.69Min: 0.68 / Avg: 0.69 / Max: 0.69Min: 0.7 / Avg: 0.72 / Max: 0.73Min: 0.61 / Avg: 0.65 / Max: 0.71Min: 0.6 / Avg: 0.65 / Max: 0.71Min: 0.6 / Avg: 0.64 / Max: 0.69Min: 0.69 / Avg: 0.7 / Max: 0.72Min: 0.66 / Avg: 0.68 / Max: 0.7Min: 1.29 / Avg: 1.42 / Max: 1.6Min: 0.74 / Avg: 0.86 / Max: 0.93Min: 0.64 / Avg: 0.7 / Max: 0.77Min: 1.09 / Avg: 1.14 / Max: 1.19Min: 1.48 / Avg: 1.51 / Max: 1.53Min: 1.05 / Avg: 1.07 / Max: 1.08Min: 0.94 / Avg: 0.97 / Max: 0.99

Timed ImageMagick Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed ImageMagick Compilation 6.9.0Time To CompileEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1020304050SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.13, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.11, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.20, N = 3SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.17, N = 3SE +/- 0.19, N = 3SE +/- 0.11, N = 3SE +/- 0.06, N = 3SE +/- 0.13, N = 3SE +/- 0.06, N = 3SE +/- 0.13, N = 3SE +/- 0.02, N = 338.4725.7823.9722.7420.7720.2819.7819.7319.2618.4718.0417.6117.6429.6820.6719.1531.8242.4229.7127.18
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed ImageMagick Compilation 6.9.0Time To CompileEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R918273645Min: 38.31 / Avg: 38.47 / Max: 38.59Min: 25.7 / Avg: 25.78 / Max: 25.91Min: 23.81 / Avg: 23.97 / Max: 24.23Min: 22.56 / Avg: 22.74 / Max: 22.85Min: 20.57 / Avg: 20.77 / Max: 20.89Min: 20.07 / Avg: 20.28 / Max: 20.43Min: 19.76 / Avg: 19.78 / Max: 19.81Min: 19.62 / Avg: 19.73 / Max: 19.91Min: 19.19 / Avg: 19.26 / Max: 19.36Min: 18.09 / Avg: 18.47 / Max: 18.77Min: 18.02 / Avg: 18.04 / Max: 18.06Min: 17.43 / Avg: 17.61 / Max: 17.71Min: 17.31 / Avg: 17.64 / Max: 17.81Min: 29.37 / Avg: 29.68 / Max: 30.01Min: 20.45 / Avg: 20.67 / Max: 20.81Min: 19.06 / Avg: 19.15 / Max: 19.27Min: 31.57 / Avg: 31.82 / Max: 31.97Min: 42.32 / Avg: 42.42 / Max: 42.54Min: 29.47 / Avg: 29.71 / Max: 29.9Min: 27.16 / Avg: 27.18 / Max: 27.22

OpenVINO

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 6226R8001600240032004000SE +/- 5.91, N = 3SE +/- 1.27, N = 3SE +/- 0.94, N = 3SE +/- 2.65, N = 3SE +/- 5.29, N = 3SE +/- 2.41, N = 3SE +/- 2.16, N = 3SE +/- 3.65, N = 3SE +/- 1.22, N = 3SE +/- 1.11, N = 3SE +/- 2.14, N = 3SE +/- 5.97, N = 3SE +/- 13.85, N = 3SE +/- 2.63, N = 3SE +/- 0.56, N = 3SE +/- 2.68, N = 3SE +/- 10.58, N = 3SE +/- 4.19, N = 32605.052673.762598.282990.382619.803065.492794.682894.522600.403239.743093.733505.173802.582005.912064.652280.093549.791583.491. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 6226R7001400210028003500Min: 2594.21 / Avg: 2605.05 / Max: 2614.56Min: 2671.86 / Avg: 2673.76 / Max: 2676.17Min: 2596.72 / Avg: 2598.28 / Max: 2599.98Min: 2985.22 / Avg: 2990.38 / Max: 2994.01Min: 2609.52 / Avg: 2619.8 / Max: 2627.12Min: 3062.31 / Avg: 3065.49 / Max: 3070.23Min: 2790.38 / Avg: 2794.68 / Max: 2797.22Min: 2890.55 / Avg: 2894.52 / Max: 2901.82Min: 2598.01 / Avg: 2600.4 / Max: 2602.05Min: 3237.91 / Avg: 3239.74 / Max: 3241.74Min: 3090.11 / Avg: 3093.73 / Max: 3097.51Min: 3494.9 / Avg: 3505.17 / Max: 3515.57Min: 3782.5 / Avg: 3802.58 / Max: 3829.14Min: 2000.66 / Avg: 2005.91 / Max: 2008.73Min: 2063.74 / Avg: 2064.65 / Max: 2065.66Min: 2276.36 / Avg: 2280.09 / Max: 2285.29Min: 3533.26 / Avg: 3549.79 / Max: 3569.5Min: 1575.11 / Avg: 1583.49 / Max: 1587.781. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 250 - Mode: Read WriteEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R9K18K27K36K45KSE +/- 39.46, N = 3SE +/- 19.61, N = 3SE +/- 133.71, N = 3SE +/- 120.80, N = 3SE +/- 101.89, N = 3SE +/- 165.61, N = 3SE +/- 88.24, N = 3SE +/- 147.07, N = 3SE +/- 124.58, N = 3SE +/- 113.22, N = 3SE +/- 31.18, N = 3SE +/- 42.20, N = 3SE +/- 193.77, N = 3SE +/- 13.52, N = 3SE +/- 103.35, N = 3SE +/- 21.38, N = 3SE +/- 85.11, N = 3SE +/- 18.10, N = 3SE +/- 78.27, N = 3SE +/- 53.25, N = 316885297192534030684319473087434366292663571234328331853250734356185642353033122347102238335608404061. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 250 - Mode: Read WriteEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R7K14K21K28K35KMin: 16814.19 / Avg: 16885.02 / Max: 16950.57Min: 29693.76 / Avg: 29719.02 / Max: 29757.63Min: 25137.62 / Avg: 25339.61 / Max: 25592.38Min: 30449.94 / Avg: 30683.77 / Max: 30853.3Min: 31756.67 / Avg: 31947.17 / Max: 32105.07Min: 30551.36 / Avg: 30873.5 / Max: 31101.24Min: 34258.42 / Avg: 34366.01 / Max: 34540.96Min: 29102.33 / Avg: 29266.2 / Max: 29559.66Min: 35567.36 / Avg: 35712.36 / Max: 35960.34Min: 34126.13 / Avg: 34327.72 / Max: 34517.82Min: 33124.22 / Avg: 33185.44 / Max: 33226.34Min: 32448.63 / Avg: 32507.36 / Max: 32589.21Min: 33968.85 / Avg: 34356.37 / Max: 34553.08Min: 18540.42 / Avg: 18564.06 / Max: 18587.26Min: 23337.98 / Avg: 23529.58 / Max: 23692.55Min: 33079.4 / Avg: 33121.84 / Max: 33147.58Min: 34599.71 / Avg: 34710.33 / Max: 34877.68Min: 22347.04 / Avg: 22382.84 / Max: 22405.45Min: 35469.75 / Avg: 35608.05 / Max: 35740.73Min: 40303.97 / Avg: 40406.45 / Max: 40482.791. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 250 - Mode: Read Write - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R48121620SE +/- 0.034, N = 3SE +/- 0.006, N = 3SE +/- 0.052, N = 3SE +/- 0.032, N = 3SE +/- 0.025, N = 3SE +/- 0.043, N = 3SE +/- 0.019, N = 3SE +/- 0.043, N = 3SE +/- 0.025, N = 3SE +/- 0.024, N = 3SE +/- 0.006, N = 3SE +/- 0.008, N = 3SE +/- 0.044, N = 3SE +/- 0.010, N = 3SE +/- 0.046, N = 3SE +/- 0.005, N = 3SE +/- 0.018, N = 3SE +/- 0.009, N = 3SE +/- 0.016, N = 3SE +/- 0.009, N = 314.8148.4199.8758.1587.8358.1107.2868.5567.0117.3007.5497.7147.30113.47310.6347.5577.21011.1757.0286.1931. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 250 - Mode: Read Write - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R48121620Min: 14.76 / Avg: 14.81 / Max: 14.88Min: 8.41 / Avg: 8.42 / Max: 8.43Min: 9.78 / Avg: 9.88 / Max: 9.95Min: 8.11 / Avg: 8.16 / Max: 8.22Min: 7.8 / Avg: 7.84 / Max: 7.88Min: 8.05 / Avg: 8.11 / Max: 8.19Min: 7.25 / Avg: 7.29 / Max: 7.31Min: 8.47 / Avg: 8.56 / Max: 8.6Min: 6.96 / Avg: 7.01 / Max: 7.04Min: 7.26 / Avg: 7.3 / Max: 7.34Min: 7.54 / Avg: 7.55 / Max: 7.56Min: 7.7 / Avg: 7.71 / Max: 7.72Min: 7.26 / Avg: 7.3 / Max: 7.39Min: 13.46 / Avg: 13.47 / Max: 13.49Min: 10.56 / Avg: 10.63 / Max: 10.72Min: 7.55 / Avg: 7.56 / Max: 7.57Min: 7.18 / Avg: 7.21 / Max: 7.23Min: 11.16 / Avg: 11.17 / Max: 11.19Min: 7 / Avg: 7.03 / Max: 7.06Min: 6.18 / Avg: 6.19 / Max: 6.211. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

Parallel BZIP2 Compression

This test measures the time needed to compress a file (a .tar package of the Linux kernel source code) using BZIP2 compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterParallel BZIP2 Compression 1.1.12256MB File CompressionEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7F32EPYC 7F52Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1.09852.1973.29554.3945.4925SE +/- 0.050, N = 6SE +/- 0.030, N = 12SE +/- 0.024, N = 14SE +/- 0.025, N = 15SE +/- 0.042, N = 5SE +/- 0.072, N = 4SE +/- 0.027, N = 12SE +/- 0.023, N = 34.1422.3172.1492.0463.3962.1253.2604.8823.0782.5261. (CXX) g++ options: -O2 -pthread -lbz2 -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterParallel BZIP2 Compression 1.1.12256MB File CompressionEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7F32EPYC 7F52Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R246810Min: 4.08 / Avg: 4.14 / Max: 4.39Min: 2.25 / Avg: 2.32 / Max: 2.64Min: 2.09 / Avg: 2.15 / Max: 2.44Min: 3.31 / Avg: 3.4 / Max: 3.71Min: 3.17 / Avg: 3.26 / Max: 3.42Min: 4.75 / Avg: 4.88 / Max: 5.09Min: 3.01 / Avg: 3.08 / Max: 3.36Min: 2.48 / Avg: 2.53 / Max: 2.561. (CXX) g++ options: -O2 -pthread -lbz2 -lpthread

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP StreamclusterEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R510152025SE +/- 0.038, N = 3SE +/- 0.173, N = 15SE +/- 0.035, N = 3SE +/- 0.266, N = 15SE +/- 0.017, N = 3SE +/- 0.026, N = 3SE +/- 0.012, N = 3SE +/- 0.012, N = 3SE +/- 0.052, N = 3SE +/- 0.119, N = 15SE +/- 0.011, N = 3SE +/- 0.023, N = 3SE +/- 0.272, N = 15SE +/- 0.226, N = 15SE +/- 0.009, N = 3SE +/- 0.111, N = 3SE +/- 0.170, N = 15SE +/- 0.132, N = 3SE +/- 0.004, N = 3SE +/- 0.024, N = 315.58918.76416.97719.38015.17914.79814.68010.97414.65812.8069.2458.98512.01221.32314.21114.57112.56012.52110.8109.8921. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP StreamclusterEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R510152025Min: 15.51 / Avg: 15.59 / Max: 15.64Min: 18.11 / Avg: 18.76 / Max: 19.48Min: 16.93 / Avg: 16.98 / Max: 17.05Min: 18.7 / Avg: 19.38 / Max: 22.24Min: 15.15 / Avg: 15.18 / Max: 15.21Min: 14.76 / Avg: 14.8 / Max: 14.85Min: 14.66 / Avg: 14.68 / Max: 14.7Min: 10.95 / Avg: 10.97 / Max: 10.99Min: 14.57 / Avg: 14.66 / Max: 14.75Min: 12.04 / Avg: 12.81 / Max: 13.6Min: 9.23 / Avg: 9.25 / Max: 9.27Min: 8.94 / Avg: 8.98 / Max: 9.01Min: 10.44 / Avg: 12.01 / Max: 13.11Min: 19.39 / Avg: 21.32 / Max: 22.56Min: 14.2 / Avg: 14.21 / Max: 14.23Min: 14.41 / Avg: 14.57 / Max: 14.78Min: 11.25 / Avg: 12.56 / Max: 12.94Min: 12.32 / Avg: 12.52 / Max: 12.77Min: 10.8 / Avg: 10.81 / Max: 10.82Min: 9.85 / Avg: 9.89 / Max: 9.931. (CXX) g++ options: -O2 -lOpenCL

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 100 - Mode: Read WriteEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R9K18K27K36K45KSE +/- 38.90, N = 3SE +/- 57.62, N = 3SE +/- 24.50, N = 3SE +/- 52.15, N = 3SE +/- 93.09, N = 3SE +/- 147.21, N = 3SE +/- 70.45, N = 3SE +/- 9.73, N = 3SE +/- 147.71, N = 3SE +/- 82.99, N = 3SE +/- 101.40, N = 3SE +/- 118.59, N = 3SE +/- 33.78, N = 3SE +/- 48.99, N = 3SE +/- 210.97, N = 3SE +/- 182.35, N = 3SE +/- 58.76, N = 3SE +/- 30.86, N = 3SE +/- 76.68, N = 3SE +/- 436.22, N = 818526302642671028983297552781730472271043192530056280522894630234189682563130635381482648339322432891. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 100 - Mode: Read WriteEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R8K16K24K32K40KMin: 18453.24 / Avg: 18526.01 / Max: 18586.25Min: 30148.99 / Avg: 30264.23 / Max: 30322.74Min: 26674.67 / Avg: 26710.42 / Max: 26757.31Min: 28879.4 / Avg: 28983.04 / Max: 29045.02Min: 29586.2 / Avg: 29754.83 / Max: 29907.47Min: 27578.49 / Avg: 27817.02 / Max: 28085.76Min: 30351.66 / Avg: 30472.2 / Max: 30595.65Min: 27089.74 / Avg: 27103.73 / Max: 27122.43Min: 31629.49 / Avg: 31924.55 / Max: 32084.7Min: 29898.19 / Avg: 30055.53 / Max: 30179.97Min: 27946.46 / Avg: 28051.59 / Max: 28254.36Min: 28709.38 / Avg: 28946.44 / Max: 29071.66Min: 30166.75 / Avg: 30234.16 / Max: 30271.83Min: 18870.47 / Avg: 18968.29 / Max: 19022.11Min: 25306.01 / Avg: 25631.36 / Max: 26026.7Min: 30422.57 / Avg: 30634.68 / Max: 30997.65Min: 38046.49 / Avg: 38148.14 / Max: 38250.04Min: 26424.35 / Avg: 26483.4 / Max: 26528.49Min: 39173.05 / Avg: 39322.15 / Max: 39427.78Min: 40766.84 / Avg: 43288.99 / Max: 44003.311. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 100 - Mode: Read Write - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1.21522.43043.64564.86086.076SE +/- 0.011, N = 3SE +/- 0.006, N = 3SE +/- 0.003, N = 3SE +/- 0.006, N = 3SE +/- 0.010, N = 3SE +/- 0.019, N = 3SE +/- 0.008, N = 3SE +/- 0.001, N = 3SE +/- 0.014, N = 3SE +/- 0.010, N = 3SE +/- 0.013, N = 3SE +/- 0.015, N = 3SE +/- 0.004, N = 3SE +/- 0.014, N = 3SE +/- 0.032, N = 3SE +/- 0.019, N = 3SE +/- 0.004, N = 3SE +/- 0.004, N = 3SE +/- 0.005, N = 3SE +/- 0.024, N = 85.4013.3073.7483.4563.3663.6003.2873.6963.1373.3333.5723.4603.3135.2753.9063.2692.6253.7792.5472.3141. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 100 - Mode: Read Write - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R246810Min: 5.38 / Avg: 5.4 / Max: 5.42Min: 3.3 / Avg: 3.31 / Max: 3.32Min: 3.74 / Avg: 3.75 / Max: 3.75Min: 3.45 / Avg: 3.46 / Max: 3.47Min: 3.35 / Avg: 3.37 / Max: 3.39Min: 3.57 / Avg: 3.6 / Max: 3.63Min: 3.27 / Avg: 3.29 / Max: 3.3Min: 3.69 / Avg: 3.7 / Max: 3.7Min: 3.12 / Avg: 3.14 / Max: 3.17Min: 3.32 / Avg: 3.33 / Max: 3.35Min: 3.55 / Avg: 3.57 / Max: 3.59Min: 3.44 / Avg: 3.46 / Max: 3.49Min: 3.31 / Avg: 3.31 / Max: 3.32Min: 5.26 / Avg: 5.28 / Max: 5.3Min: 3.85 / Avg: 3.91 / Max: 3.96Min: 3.23 / Avg: 3.27 / Max: 3.29Min: 2.62 / Avg: 2.62 / Max: 2.63Min: 3.77 / Avg: 3.78 / Max: 3.79Min: 2.54 / Avg: 2.55 / Max: 2.56Min: 2.28 / Avg: 2.31 / Max: 2.461. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Server Rack - Acceleration: CPU-onlyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R0.04010.08020.12030.16040.2005SE +/- 0.001, N = 3SE +/- 0.002, N = 4SE +/- 0.001, N = 14SE +/- 0.002, N = 12SE +/- 0.001, N = 5SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 12SE +/- 0.002, N = 13SE +/- 0.014, N = 15SE +/- 0.001, N = 4SE +/- 0.002, N = 15SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 5SE +/- 0.000, N = 3SE +/- 0.002, N = 30.1590.1140.1060.0990.0880.0820.0800.0870.0810.0800.1010.0770.0930.1490.1020.0900.1400.1780.1320.120
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Server Rack - Acceleration: CPU-onlyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R12345Min: 0.16 / Avg: 0.16 / Max: 0.16Min: 0.11 / Avg: 0.11 / Max: 0.12Min: 0.1 / Avg: 0.11 / Max: 0.12Min: 0.09 / Avg: 0.1 / Max: 0.11Min: 0.09 / Avg: 0.09 / Max: 0.09Min: 0.08 / Avg: 0.08 / Max: 0.08Min: 0.08 / Avg: 0.08 / Max: 0.08Min: 0.09 / Avg: 0.09 / Max: 0.09Min: 0.08 / Avg: 0.08 / Max: 0.09Min: 0.08 / Avg: 0.08 / Max: 0.1Min: 0.08 / Avg: 0.1 / Max: 0.24Min: 0.08 / Avg: 0.08 / Max: 0.08Min: 0.08 / Avg: 0.09 / Max: 0.11Min: 0.15 / Avg: 0.15 / Max: 0.15Min: 0.1 / Avg: 0.1 / Max: 0.1Min: 0.09 / Avg: 0.09 / Max: 0.09Min: 0.14 / Avg: 0.14 / Max: 0.14Min: 0.17 / Avg: 0.18 / Max: 0.19Min: 0.13 / Avg: 0.13 / Max: 0.13Min: 0.12 / Avg: 0.12 / Max: 0.12

SciMark

This test runs the ANSI C version of SciMark 2.0, which is a benchmark for scientific and numerical computing developed by programmers at the National Institute of Standards and Technology. This test is made up of Fast Foruier Transform, Jacobi Successive Over-relaxation, Monte Carlo, Sparse Matrix Multiply, and dense LU matrix factorization benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Fast Fourier TransformEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R60120180240300SE +/- 0.29, N = 3SE +/- 2.12, N = 3SE +/- 0.30, N = 3SE +/- 0.93, N = 3SE +/- 1.03, N = 3SE +/- 1.02, N = 3SE +/- 0.63, N = 3SE +/- 0.34, N = 3SE +/- 0.95, N = 3SE +/- 2.07, N = 3SE +/- 0.62, N = 3SE +/- 0.45, N = 3SE +/- 0.38, N = 3SE +/- 1.11, N = 3SE +/- 0.51, N = 3SE +/- 0.92, N = 3SE +/- 0.52, N = 3SE +/- 0.25, N = 3SE +/- 0.21, N = 3SE +/- 0.34, N = 3197.39245.55265.82256.78263.94263.27273.56125.68267.59263.36267.49266.92269.74281.48289.84287.93242.03175.14273.55255.241. (CC) gcc options: -lm
OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Fast Fourier TransformEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R50100150200250Min: 196.97 / Avg: 197.39 / Max: 197.94Min: 243.33 / Avg: 245.55 / Max: 249.8Min: 265.45 / Avg: 265.82 / Max: 266.42Min: 255.43 / Avg: 256.78 / Max: 258.56Min: 261.91 / Avg: 263.94 / Max: 265.28Min: 261.23 / Avg: 263.27 / Max: 264.46Min: 272.31 / Avg: 273.56 / Max: 274.3Min: 125.2 / Avg: 125.68 / Max: 126.33Min: 265.75 / Avg: 267.59 / Max: 268.88Min: 259.32 / Avg: 263.36 / Max: 266.17Min: 266.28 / Avg: 267.49 / Max: 268.29Min: 266.17 / Avg: 266.92 / Max: 267.72Min: 268.99 / Avg: 269.74 / Max: 270.17Min: 280 / Avg: 281.48 / Max: 283.66Min: 289.05 / Avg: 289.84 / Max: 290.78Min: 287 / Avg: 287.93 / Max: 289.76Min: 241.08 / Avg: 242.03 / Max: 242.88Min: 174.77 / Avg: 175.14 / Max: 175.61Min: 273.33 / Avg: 273.55 / Max: 273.96Min: 254.9 / Avg: 255.24 / Max: 255.931. (CC) gcc options: -lm

ASKAP

This is a CUDA benchmark of ATNF's ASKAP Benchmark with currently using the tConvolveCuda sub-test. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 2018-11-10Test: tConvolve MPI - GriddingEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R11002200330044005500SE +/- 31.33, N = 5SE +/- 3.21, N = 3SE +/- 38.78, N = 3SE +/- 28.11, N = 15SE +/- 7.59, N = 3SE +/- 0.54, N = 3SE +/- 0.54, N = 3SE +/- 28.28, N = 3SE +/- 2.17, N = 3SE +/- 0.85, N = 3SE +/- 3.26, N = 3SE +/- 5.99, N = 3SE +/- 15.31, N = 3SE +/- 37.28, N = 15SE +/- 12.56, N = 3SE +/- 0.00, N = 3SE +/- 16.58, N = 3SE +/- 11.67, N = 3SE +/- 17.12, N = 3SE +/- 28.09, N = 32379.012431.574014.663504.373845.653722.773724.954424.903724.954345.564533.094522.414420.443174.575134.774465.512666.102232.102845.333014.741. (CXX) g++ options: -lpthread
OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 2018-11-10Test: tConvolve MPI - GriddingEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R9001800270036004500Min: 2254.02 / Avg: 2379.01 / Max: 2415.02Min: 2426.02 / Avg: 2431.57 / Max: 2437.13Min: 3937.24 / Avg: 4014.66 / Max: 4057.23Min: 3304.11 / Avg: 3504.37 / Max: 3672.5Min: 3831.02 / Avg: 3845.65 / Max: 3856.45Min: 3722.23 / Avg: 3722.77 / Max: 3723.86Min: 3723.86 / Avg: 3724.95 / Max: 3725.49Min: 4385.07 / Avg: 4424.9 / Max: 4479.6Min: 3720.61 / Avg: 3724.95 / Max: 3727.12Min: 4344.08 / Avg: 4345.56 / Max: 4347.04Min: 4527.2 / Avg: 4533.09 / Max: 4538.45Min: 4510.42 / Avg: 4522.41 / Max: 4528.4Min: 4399.79 / Avg: 4420.44 / Max: 4450.35Min: 2821.26 / Avg: 3174.57 / Max: 3365Min: 5114.16 / Avg: 5134.77 / Max: 5157.5Min: 4465.51 / Avg: 4465.51 / Max: 4465.51Min: 2632.94 / Avg: 2666.1 / Max: 2682.68Min: 2214.19 / Avg: 2232.1 / Max: 2254.02Min: 2821.26 / Avg: 2845.33 / Max: 2878.44Min: 2970.78 / Avg: 3014.74 / Max: 3067.021. (CXX) g++ options: -lpthread

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1224364860SE +/- 0.31, N = 4SE +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.17, N = 15SE +/- 0.26, N = 3SE +/- 0.53, N = 3SE +/- 0.55, N = 3SE +/- 0.28, N = 3SE +/- 0.10, N = 8SE +/- 0.29, N = 3SE +/- 0.81, N = 3SE +/- 0.12, N = 3SE +/- 1.80, N = 3SE +/- 0.13, N = 3SE +/- 0.52, N = 10SE +/- 0.13, N = 3SE +/- 0.18, N = 3SE +/- 0.50, N = 3SE +/- 0.02, N = 3SE +/- 0.42, N = 334.1624.8525.8829.8423.6026.1025.3628.8224.5731.3334.3237.0252.9927.8525.7425.7024.3727.8524.1823.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1122334455Min: 33.29 / Avg: 34.16 / Max: 34.69Min: 24.71 / Avg: 24.85 / Max: 24.98Min: 25.71 / Avg: 25.88 / Max: 26.01Min: 28.32 / Avg: 29.84 / Max: 30.59Min: 23.25 / Avg: 23.6 / Max: 24.11Min: 25.55 / Avg: 26.1 / Max: 27.16Min: 24.66 / Avg: 25.36 / Max: 26.45Min: 28.28 / Avg: 28.82 / Max: 29.2Min: 24.2 / Avg: 24.57 / Max: 25.09Min: 30.82 / Avg: 31.33 / Max: 31.84Min: 32.7 / Avg: 34.32 / Max: 35.25Min: 36.81 / Avg: 37.02 / Max: 37.23Min: 49.43 / Avg: 52.99 / Max: 55.17Min: 27.64 / Avg: 27.85 / Max: 28.08Min: 21.71 / Avg: 25.74 / Max: 27.13Min: 25.5 / Avg: 25.7 / Max: 25.94Min: 24.02 / Avg: 24.37 / Max: 24.59Min: 26.85 / Avg: 27.85 / Max: 28.36Min: 24.15 / Avg: 24.18 / Max: 24.21Min: 22.28 / Avg: 23.09 / Max: 23.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra FastEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F521122334455SE +/- 0.00, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.12, N = 3SE +/- 0.16, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 321.5534.4635.2231.1733.7541.6042.8740.7345.9746.2746.2348.9948.3425.6338.661. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra FastEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F521020304050Min: 21.55 / Avg: 21.55 / Max: 21.56Min: 34.38 / Avg: 34.46 / Max: 34.56Min: 35.08 / Avg: 35.22 / Max: 35.32Min: 30.99 / Avg: 31.17 / Max: 31.33Min: 33.59 / Avg: 33.75 / Max: 33.87Min: 41.4 / Avg: 41.6 / Max: 41.77Min: 42.73 / Avg: 42.87 / Max: 42.94Min: 40.64 / Avg: 40.73 / Max: 40.82Min: 45.92 / Avg: 45.97 / Max: 46.07Min: 46.19 / Avg: 46.27 / Max: 46.35Min: 45.98 / Avg: 46.23 / Max: 46.37Min: 48.71 / Avg: 48.99 / Max: 49.27Min: 48.14 / Avg: 48.34 / Max: 48.48Min: 25.59 / Avg: 25.63 / Max: 25.68Min: 38.6 / Avg: 38.66 / Max: 38.771. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Zstd Compression

This test measures the time needed to compress a sample file (an Ubuntu ISO) using Zstd compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R2K4K6K8K10KSE +/- 21.13, N = 3SE +/- 18.60, N = 3SE +/- 46.59, N = 3SE +/- 21.51, N = 3SE +/- 21.95, N = 3SE +/- 85.19, N = 3SE +/- 21.22, N = 3SE +/- 120.12, N = 4SE +/- 62.39, N = 3SE +/- 47.55, N = 3SE +/- 41.92, N = 3SE +/- 34.11, N = 3SE +/- 33.91, N = 3SE +/- 94.23, N = 3SE +/- 56.37, N = 3SE +/- 19.00, N = 3SE +/- 23.18, N = 3SE +/- 17.42, N = 3SE +/- 21.40, N = 3SE +/- 17.47, N = 34992.36630.57464.07663.07898.17704.57843.28078.17767.98211.28485.38321.88339.16299.58021.98474.74787.33734.04935.65175.71. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R15003000450060007500Min: 4963.2 / Avg: 4992.3 / Max: 5033.4Min: 6604.6 / Avg: 6630.53 / Max: 6666.6Min: 7410.3 / Avg: 7464 / Max: 7556.8Min: 7630 / Avg: 7663 / Max: 7703.4Min: 7872.6 / Avg: 7898.1 / Max: 7941.8Min: 7601.2 / Avg: 7704.5 / Max: 7873.5Min: 7818.2 / Avg: 7843.2 / Max: 7885.4Min: 7939.2 / Avg: 8078.13 / Max: 8437.6Min: 7675.6 / Avg: 7767.93 / Max: 7886.8Min: 8157.2 / Avg: 8211.2 / Max: 8306Min: 8407.9 / Avg: 8485.3 / Max: 8551.9Min: 8253.7 / Avg: 8321.83 / Max: 8358.7Min: 8271.3 / Avg: 8339.07 / Max: 8375.2Min: 6179.4 / Avg: 6299.47 / Max: 6485.3Min: 7956.8 / Avg: 8021.93 / Max: 8134.2Min: 8438.3 / Avg: 8474.67 / Max: 8502.4Min: 4759.8 / Avg: 4787.33 / Max: 4833.4Min: 3703.1 / Avg: 3734.03 / Max: 3763.4Min: 4904.4 / Avg: 4935.63 / Max: 4976.6Min: 5149.2 / Avg: 5175.73 / Max: 5208.71. (CC) gcc options: -O3 -pthread -lz -llzma

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very FastEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52612182430SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 312.2518.8719.8318.3319.9324.6325.3524.5427.2026.6527.1127.5527.0314.7423.381. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very FastEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52612182430Min: 12.22 / Avg: 12.25 / Max: 12.28Min: 18.83 / Avg: 18.87 / Max: 18.89Min: 19.77 / Avg: 19.83 / Max: 19.86Min: 18.3 / Avg: 18.33 / Max: 18.36Min: 19.9 / Avg: 19.93 / Max: 19.97Min: 24.61 / Avg: 24.63 / Max: 24.66Min: 25.28 / Avg: 25.35 / Max: 25.39Min: 24.5 / Avg: 24.54 / Max: 24.59Min: 27.03 / Avg: 27.2 / Max: 27.32Min: 26.64 / Avg: 26.65 / Max: 26.67Min: 27.05 / Avg: 27.11 / Max: 27.2Min: 27.51 / Avg: 27.55 / Max: 27.59Min: 26.99 / Avg: 27.03 / Max: 27.07Min: 14.69 / Avg: 14.74 / Max: 14.77Min: 23.33 / Avg: 23.38 / Max: 23.441. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 50 - Mode: Read Write - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R0.64851.2971.94552.5943.2425SE +/- 0.007, N = 3SE +/- 0.004, N = 3SE +/- 0.002, N = 3SE +/- 0.006, N = 3SE +/- 0.001, N = 3SE +/- 0.007, N = 3SE +/- 0.009, N = 3SE +/- 0.004, N = 3SE +/- 0.015, N = 3SE +/- 0.004, N = 3SE +/- 0.006, N = 3SE +/- 0.012, N = 3SE +/- 0.006, N = 3SE +/- 0.018, N = 3SE +/- 0.006, N = 3SE +/- 0.006, N = 3SE +/- 0.005, N = 3SE +/- 0.006, N = 3SE +/- 0.002, N = 3SE +/- 0.003, N = 32.6292.0342.2272.2612.2482.2132.0682.2602.0101.9572.0551.9881.8332.8822.0252.1941.4281.8301.3971.2861. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 50 - Mode: Read Write - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R246810Min: 2.62 / Avg: 2.63 / Max: 2.64Min: 2.03 / Avg: 2.03 / Max: 2.04Min: 2.22 / Avg: 2.23 / Max: 2.23Min: 2.25 / Avg: 2.26 / Max: 2.27Min: 2.25 / Avg: 2.25 / Max: 2.25Min: 2.2 / Avg: 2.21 / Max: 2.23Min: 2.05 / Avg: 2.07 / Max: 2.08Min: 2.25 / Avg: 2.26 / Max: 2.27Min: 1.99 / Avg: 2.01 / Max: 2.04Min: 1.95 / Avg: 1.96 / Max: 1.97Min: 2.04 / Avg: 2.06 / Max: 2.07Min: 1.97 / Avg: 1.99 / Max: 2.01Min: 1.82 / Avg: 1.83 / Max: 1.84Min: 2.85 / Avg: 2.88 / Max: 2.91Min: 2.02 / Avg: 2.02 / Max: 2.04Min: 2.18 / Avg: 2.19 / Max: 2.2Min: 1.42 / Avg: 1.43 / Max: 1.44Min: 1.82 / Avg: 1.83 / Max: 1.84Min: 1.4 / Avg: 1.4 / Max: 1.4Min: 1.28 / Avg: 1.29 / Max: 1.291. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 50 - Mode: Read WriteEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R8K16K24K32K40KSE +/- 47.49, N = 3SE +/- 44.63, N = 3SE +/- 20.70, N = 3SE +/- 61.43, N = 3SE +/- 15.63, N = 3SE +/- 72.06, N = 3SE +/- 109.61, N = 3SE +/- 43.10, N = 3SE +/- 181.28, N = 3SE +/- 56.11, N = 3SE +/- 73.41, N = 3SE +/- 145.91, N = 3SE +/- 87.51, N = 3SE +/- 107.90, N = 3SE +/- 72.55, N = 3SE +/- 64.18, N = 3SE +/- 112.45, N = 3SE +/- 85.98, N = 3SE +/- 47.37, N = 3SE +/- 87.48, N = 319021245902246322124222542260724192221282488125563243362516027291173552470422796350452732535804388861. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 50 - Mode: Read WriteEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R7K14K21K28K35KMin: 18944.83 / Avg: 19021.17 / Max: 19108.28Min: 24500.86 / Avg: 24589.57 / Max: 24642.44Min: 22428.64 / Avg: 22463.42 / Max: 22500.27Min: 22014.04 / Avg: 22124.27 / Max: 22226.37Min: 22230.64 / Avg: 22254.24 / Max: 22283.78Min: 22463.24 / Avg: 22606.6 / Max: 22691.08Min: 24059.94 / Avg: 24191.65 / Max: 24409.26Min: 22045.04 / Avg: 22127.67 / Max: 22190.26Min: 24567.9 / Avg: 24881.03 / Max: 25195.86Min: 25457.36 / Avg: 25562.69 / Max: 25648.86Min: 24218.24 / Avg: 24335.92 / Max: 24470.79Min: 24878.09 / Avg: 25160.16 / Max: 25366Min: 27122.42 / Avg: 27290.81 / Max: 27416.33Min: 17168.07 / Avg: 17355.07 / Max: 17541.86Min: 24560.91 / Avg: 24703.66 / Max: 24797.53Min: 22691.26 / Avg: 22795.6 / Max: 22912.51Min: 34868.44 / Avg: 35044.6 / Max: 35253.75Min: 27179.48 / Avg: 27325.03 / Max: 27477.1Min: 35708.98 / Avg: 35803.59 / Max: 35855.25Min: 38716.51 / Avg: 38886.08 / Max: 39008.151. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

MariaDB

This is a MariaDB MySQL database server benchmark making use of mysqlslap. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.5.2Clients: 64EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R400800120016002000SE +/- 8.56, N = 3SE +/- 0.77, N = 4SE +/- 1.58, N = 3SE +/- 1.50, N = 3SE +/- 0.24, N = 5SE +/- 2.62, N = 3SE +/- 1.44, N = 3SE +/- 1.23, N = 3SE +/- 1.18, N = 3SE +/- 1.63, N = 3SE +/- 1.36, N = 3SE +/- 3.47, N = 3SE +/- 1.25, N = 3SE +/- 4.63, N = 3SE +/- 2.11, N = 3SE +/- 0.50, N = 3SE +/- 2.51, N = 3SE +/- 3.56, N = 3SE +/- 1.98, N = 3SE +/- 1.26, N = 388912401041993110310021097961115510601086101510218761105122716871325172519481. (CXX) g++ options: -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -ldl
OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.5.2Clients: 64EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R30060090012001500Min: 872.6 / Avg: 888.79 / Max: 901.71Min: 1237.62 / Avg: 1239.93 / Max: 1240.69Min: 1038.42 / Avg: 1040.95 / Max: 1043.84Min: 990.1 / Avg: 993.05 / Max: 995.02Min: 1102.54 / Avg: 1102.78 / Max: 1103.75Min: 998 / Avg: 1002.35 / Max: 1007.05Min: 1094.09 / Avg: 1096.9 / Max: 1098.9Min: 959.69 / Avg: 960.93 / Max: 963.39Min: 1153.4 / Avg: 1155.18 / Max: 1157.41Min: 1057.08 / Avg: 1059.7 / Max: 1062.7Min: 1083.42 / Avg: 1085.78 / Max: 1088.14Min: 1008.06 / Avg: 1014.91 / Max: 1019.37Min: 1019.37 / Avg: 1021.11 / Max: 1023.54Min: 871.84 / Avg: 876.47 / Max: 885.74Min: 1101.32 / Avg: 1104.98 / Max: 1108.65Min: 1226.99 / Avg: 1227.5 / Max: 1228.5Min: 1683.5 / Avg: 1687.3 / Max: 1692.05Min: 1319.26 / Avg: 1325.11 / Max: 1331.56Min: 1721.17 / Avg: 1725.13 / Max: 1727.12Min: 1945.53 / Avg: 1948.05 / Max: 1949.321. (CXX) g++ options: -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -ldl

OpenVINO

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 6226R12002400360048006000SE +/- 16.19, N = 3SE +/- 4.06, N = 3SE +/- 9.01, N = 3SE +/- 6.05, N = 3SE +/- 4.72, N = 3SE +/- 1.88, N = 3SE +/- 1.93, N = 3SE +/- 6.59, N = 3SE +/- 1.58, N = 3SE +/- 1.32, N = 3SE +/- 3.15, N = 3SE +/- 2.00, N = 3SE +/- 11.52, N = 3SE +/- 9.91, N = 3SE +/- 5.88, N = 3SE +/- 3.89, N = 3SE +/- 13.16, N = 3SE +/- 7.14, N = 33258.143451.643241.973939.243376.254080.513600.683826.023311.764174.724182.774779.845137.702548.472665.282973.925653.792812.041. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 6226R10002000300040005000Min: 3225.88 / Avg: 3258.14 / Max: 3276.8Min: 3443.53 / Avg: 3451.64 / Max: 3455.81Min: 3224.92 / Avg: 3241.97 / Max: 3255.55Min: 3927.14 / Avg: 3939.24 / Max: 3945.37Min: 3371.39 / Avg: 3376.25 / Max: 3385.68Min: 4077.76 / Avg: 4080.51 / Max: 4084.12Min: 3597.6 / Avg: 3600.68 / Max: 3604.23Min: 3813.1 / Avg: 3826.02 / Max: 3834.69Min: 3308.61 / Avg: 3311.76 / Max: 3313.54Min: 4173.31 / Avg: 4174.72 / Max: 4177.35Min: 4177.13 / Avg: 4182.77 / Max: 4188.04Min: 4777.11 / Avg: 4779.84 / Max: 4783.75Min: 5119.17 / Avg: 5137.7 / Max: 5158.83Min: 2530.59 / Avg: 2548.47 / Max: 2564.8Min: 2657.78 / Avg: 2665.28 / Max: 2676.87Min: 2968.79 / Avg: 2973.92 / Max: 2981.56Min: 5633.56 / Avg: 5653.79 / Max: 5678.48Min: 2797.97 / Avg: 2812.04 / Max: 2821.21. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

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 2020-09-17Model: mobilenet-v1-1.0EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215SE +/- 0.064, N = 12SE +/- 0.048, N = 3SE +/- 0.085, N = 3SE +/- 0.245, N = 15SE +/- 0.188, N = 15SE +/- 0.010, N = 15SE +/- 0.015, N = 3SE +/- 0.054, N = 15SE +/- 0.017, N = 12SE +/- 0.049, N = 15SE +/- 0.177, N = 3SE +/- 0.020, N = 15SE +/- 0.067, N = 12SE +/- 0.038, N = 3SE +/- 0.012, N = 15SE +/- 0.205, N = 15SE +/- 0.004, N = 3SE +/- 0.001, N = 3SE +/- 0.036, N = 3SE +/- 0.241, N = 128.6777.5367.8006.9496.4165.2625.4725.3075.1345.7125.5465.3486.5417.0686.5285.89611.3309.54011.3899.7751. (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 2020-09-17Model: mobilenet-v1-1.0EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215Min: 8.16 / Avg: 8.68 / Max: 9.01Min: 7.49 / Avg: 7.54 / Max: 7.63Min: 7.63 / Avg: 7.8 / Max: 7.91Min: 5.7 / Avg: 6.95 / Max: 7.81Min: 5.32 / Avg: 6.42 / Max: 7.16Min: 5.21 / Avg: 5.26 / Max: 5.33Min: 5.45 / Avg: 5.47 / Max: 5.5Min: 5.16 / Avg: 5.31 / Max: 5.94Min: 4.99 / Avg: 5.13 / Max: 5.2Min: 5.4 / Avg: 5.71 / Max: 5.9Min: 5.33 / Avg: 5.55 / Max: 5.9Min: 5.26 / Avg: 5.35 / Max: 5.52Min: 6.25 / Avg: 6.54 / Max: 7.01Min: 7.01 / Avg: 7.07 / Max: 7.14Min: 6.45 / Avg: 6.53 / Max: 6.61Min: 4.97 / Avg: 5.9 / Max: 6.79Min: 11.32 / Avg: 11.33 / Max: 11.34Min: 9.54 / Avg: 9.54 / Max: 9.54Min: 11.33 / Avg: 11.39 / Max: 11.45Min: 7.23 / Avg: 9.78 / Max: 10.271. (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

OpenVINO

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 6226R12002400360048006000SE +/- 5.39, N = 3SE +/- 0.78, N = 3SE +/- 4.71, N = 3SE +/- 6.48, N = 3SE +/- 6.01, N = 3SE +/- 1.42, N = 3SE +/- 3.84, N = 3SE +/- 2.37, N = 3SE +/- 2.06, N = 3SE +/- 3.22, N = 3SE +/- 9.81, N = 3SE +/- 2.34, N = 3SE +/- 8.48, N = 3SE +/- 12.31, N = 3SE +/- 8.51, N = 3SE +/- 6.36, N = 3SE +/- 19.37, N = 3SE +/- 19.81, N = 33230.483447.773229.973930.303382.714075.643605.383814.203310.574162.174184.584774.555139.162554.612660.522997.785666.812801.801. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 6226R10002000300040005000Min: 3219.85 / Avg: 3230.48 / Max: 3237.36Min: 3446.6 / Avg: 3447.77 / Max: 3449.26Min: 3222.4 / Avg: 3229.97 / Max: 3238.62Min: 3923.6 / Avg: 3930.3 / Max: 3943.26Min: 3374.5 / Avg: 3382.71 / Max: 3394.41Min: 4073.01 / Avg: 4075.64 / Max: 4077.88Min: 3600.71 / Avg: 3605.38 / Max: 3612.99Min: 3809.51 / Avg: 3814.2 / Max: 3817.18Min: 3306.45 / Avg: 3310.57 / Max: 3312.87Min: 4155.89 / Avg: 4162.17 / Max: 4166.55Min: 4164.99 / Avg: 4184.58 / Max: 4195.11Min: 4772.16 / Avg: 4774.55 / Max: 4779.24Min: 5124.57 / Avg: 5139.16 / Max: 5153.96Min: 2530.03 / Avg: 2554.61 / Max: 2567.91Min: 2643.9 / Avg: 2660.52 / Max: 2672Min: 2985.12 / Avg: 2997.78 / Max: 3005.23Min: 5644.25 / Avg: 5666.81 / Max: 5705.37Min: 2765.34 / Avg: 2801.8 / Max: 2833.451. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Server Room - Acceleration: CPU-onlyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R0.95421.90842.86263.81684.771SE +/- 0.005, N = 3SE +/- 0.005, N = 3SE +/- 0.003, N = 3SE +/- 0.014, N = 3SE +/- 0.003, N = 3SE +/- 0.006, N = 3SE +/- 0.003, N = 3SE +/- 0.015, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.006, N = 3SE +/- 0.004, N = 3SE +/- 0.016, N = 3SE +/- 0.014, N = 3SE +/- 0.001, N = 3SE +/- 0.011, N = 3SE +/- 0.009, N = 3SE +/- 0.008, N = 3SE +/- 0.006, N = 3SE +/- 0.008, N = 34.0592.6532.4792.3182.0842.0301.9552.1131.9241.9332.0121.9992.1313.5272.2902.0423.1594.2412.9312.805
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Server Room - Acceleration: CPU-onlyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R246810Min: 4.05 / Avg: 4.06 / Max: 4.07Min: 2.65 / Avg: 2.65 / Max: 2.66Min: 2.47 / Avg: 2.48 / Max: 2.48Min: 2.3 / Avg: 2.32 / Max: 2.34Min: 2.08 / Avg: 2.08 / Max: 2.09Min: 2.02 / Avg: 2.03 / Max: 2.04Min: 1.95 / Avg: 1.96 / Max: 1.96Min: 2.09 / Avg: 2.11 / Max: 2.14Min: 1.92 / Avg: 1.92 / Max: 1.93Min: 1.93 / Avg: 1.93 / Max: 1.94Min: 2 / Avg: 2.01 / Max: 2.02Min: 1.99 / Avg: 2 / Max: 2.01Min: 2.11 / Avg: 2.13 / Max: 2.16Min: 3.51 / Avg: 3.53 / Max: 3.55Min: 2.29 / Avg: 2.29 / Max: 2.29Min: 2.03 / Avg: 2.04 / Max: 2.06Min: 3.15 / Avg: 3.16 / Max: 3.18Min: 4.23 / Avg: 4.24 / Max: 4.26Min: 2.92 / Avg: 2.93 / Max: 2.94Min: 2.79 / Avg: 2.8 / Max: 2.81

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1020304050SE +/- 0.13, N = 4SE +/- 0.19, N = 3SE +/- 0.36, N = 3SE +/- 0.17, N = 15SE +/- 0.04, N = 3SE +/- 0.13, N = 3SE +/- 0.78, N = 3SE +/- 0.41, N = 3SE +/- 0.11, N = 8SE +/- 0.52, N = 3SE +/- 0.34, N = 3SE +/- 2.32, N = 3SE +/- 1.51, N = 3SE +/- 0.08, N = 3SE +/- 0.26, N = 10SE +/- 0.53, N = 3SE +/- 0.16, N = 3SE +/- 0.14, N = 3SE +/- 0.17, N = 3SE +/- 0.21, N = 327.2220.5223.0124.5520.1521.3822.3825.9820.9428.0330.5637.1044.3322.5821.5422.0622.6622.3622.5320.901. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R918273645Min: 26.94 / Avg: 27.22 / Max: 27.53Min: 20.25 / Avg: 20.52 / Max: 20.9Min: 22.3 / Avg: 23.01 / Max: 23.42Min: 23.62 / Avg: 24.55 / Max: 25.7Min: 20.07 / Avg: 20.15 / Max: 20.19Min: 21.24 / Avg: 21.38 / Max: 21.64Min: 21.08 / Avg: 22.38 / Max: 23.78Min: 25.17 / Avg: 25.98 / Max: 26.53Min: 20.61 / Avg: 20.94 / Max: 21.36Min: 27.25 / Avg: 28.03 / Max: 29.02Min: 30.06 / Avg: 30.56 / Max: 31.22Min: 33.91 / Avg: 37.1 / Max: 41.62Min: 41.32 / Avg: 44.33 / Max: 45.97Min: 22.42 / Avg: 22.58 / Max: 22.67Min: 19.53 / Avg: 21.54 / Max: 22.71Min: 21 / Avg: 22.06 / Max: 22.67Min: 22.44 / Avg: 22.66 / Max: 22.97Min: 22.09 / Avg: 22.36 / Max: 22.5Min: 22.32 / Avg: 22.53 / Max: 22.86Min: 20.59 / Avg: 20.9 / Max: 21.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 2020-09-17Model: resnet-v2-50EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1428425670SE +/- 0.21, N = 12SE +/- 0.35, N = 3SE +/- 0.20, N = 3SE +/- 0.52, N = 15SE +/- 0.34, N = 15SE +/- 0.13, N = 15SE +/- 0.02, N = 3SE +/- 0.23, N = 15SE +/- 0.09, N = 12SE +/- 0.20, N = 15SE +/- 0.52, N = 3SE +/- 0.18, N = 15SE +/- 0.27, N = 12SE +/- 0.20, N = 3SE +/- 0.10, N = 15SE +/- 0.50, N = 15SE +/- 0.17, N = 3SE +/- 0.09, N = 3SE +/- 0.12, N = 3SE +/- 0.19, N = 1245.2940.1140.7637.3735.4930.0430.2629.9928.8632.3829.8830.0935.8737.0435.1333.2163.2251.3363.2755.071. (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 2020-09-17Model: resnet-v2-50EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1224364860Min: 44.17 / Avg: 45.29 / Max: 46.55Min: 39.57 / Avg: 40.11 / Max: 40.76Min: 40.4 / Avg: 40.76 / Max: 41.09Min: 33.73 / Avg: 37.37 / Max: 40.26Min: 33.3 / Avg: 35.49 / Max: 37.55Min: 29.11 / Avg: 30.04 / Max: 30.8Min: 30.23 / Avg: 30.26 / Max: 30.3Min: 28.55 / Avg: 29.99 / Max: 31.88Min: 28.2 / Avg: 28.86 / Max: 29.24Min: 31.46 / Avg: 32.38 / Max: 33.54Min: 29.32 / Avg: 29.88 / Max: 30.92Min: 29.38 / Avg: 30.09 / Max: 31.43Min: 34.52 / Avg: 35.87 / Max: 37.57Min: 36.82 / Avg: 37.04 / Max: 37.43Min: 34.59 / Avg: 35.13 / Max: 35.77Min: 30.33 / Avg: 33.21 / Max: 36.17Min: 63.03 / Avg: 63.22 / Max: 63.56Min: 51.16 / Avg: 51.33 / Max: 51.46Min: 63.11 / Avg: 63.27 / Max: 63.51Min: 53.87 / Avg: 55.07 / Max: 56.171. (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

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R612182430SE +/- 0.07, N = 4SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.13, N = 15SE +/- 0.16, N = 3SE +/- 0.15, N = 3SE +/- 0.21, N = 3SE +/- 0.45, N = 3SE +/- 0.07, N = 8SE +/- 0.08, N = 3SE +/- 0.20, N = 3SE +/- 0.40, N = 3SE +/- 0.55, N = 3SE +/- 0.34, N = 3SE +/- 0.23, N = 10SE +/- 0.28, N = 3SE +/- 0.07, N = 3SE +/- 0.38, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 317.5214.4015.2017.8913.7215.1114.1816.0914.7316.0217.3317.0125.9315.1913.4014.6912.2612.9812.0012.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R612182430Min: 17.32 / Avg: 17.52 / Max: 17.67Min: 14.27 / Avg: 14.4 / Max: 14.57Min: 15.11 / Avg: 15.2 / Max: 15.28Min: 17.07 / Avg: 17.89 / Max: 18.64Min: 13.53 / Avg: 13.72 / Max: 14.03Min: 14.83 / Avg: 15.11 / Max: 15.36Min: 13.84 / Avg: 14.18 / Max: 14.56Min: 15.41 / Avg: 16.09 / Max: 16.94Min: 14.45 / Avg: 14.73 / Max: 15.08Min: 15.93 / Avg: 16.02 / Max: 16.19Min: 16.94 / Avg: 17.33 / Max: 17.63Min: 16.41 / Avg: 17.01 / Max: 17.77Min: 24.86 / Avg: 25.93 / Max: 26.68Min: 14.59 / Avg: 15.19 / Max: 15.77Min: 11.54 / Avg: 13.4 / Max: 14.2Min: 14.13 / Avg: 14.69 / Max: 14.97Min: 12.14 / Avg: 12.26 / Max: 12.39Min: 12.23 / Avg: 12.98 / Max: 13.36Min: 11.99 / Avg: 12 / Max: 12.02Min: 12.47 / Avg: 12.56 / Max: 12.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R816243240SE +/- 0.36, N = 4SE +/- 0.04, N = 3SE +/- 0.28, N = 3SE +/- 0.31, N = 15SE +/- 0.12, N = 3SE +/- 0.23, N = 3SE +/- 0.31, N = 3SE +/- 0.29, N = 3SE +/- 0.21, N = 8SE +/- 0.16, N = 3SE +/- 0.05, N = 3SE +/- 0.20, N = 3SE +/- 0.19, N = 3SE +/- 0.11, N = 3SE +/- 0.18, N = 10SE +/- 0.37, N = 3SE +/- 0.03, N = 3SE +/- 0.15, N = 3SE +/- 0.02, N = 3SE +/- 0.11, N = 324.4218.5522.2923.8519.0220.1320.2523.8320.0024.9728.1528.0836.6421.2520.2221.5717.8418.0117.8416.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R816243240Min: 23.48 / Avg: 24.42 / Max: 25.1Min: 18.46 / Avg: 18.55 / Max: 18.6Min: 21.75 / Avg: 22.29 / Max: 22.7Min: 22.12 / Avg: 23.85 / Max: 26.12Min: 18.89 / Avg: 19.02 / Max: 19.26Min: 19.89 / Avg: 20.13 / Max: 20.59Min: 19.66 / Avg: 20.25 / Max: 20.73Min: 23.3 / Avg: 23.83 / Max: 24.31Min: 19.41 / Avg: 20 / Max: 21.27Min: 24.66 / Avg: 24.97 / Max: 25.17Min: 28.1 / Avg: 28.15 / Max: 28.25Min: 27.7 / Avg: 28.08 / Max: 28.39Min: 36.28 / Avg: 36.64 / Max: 36.92Min: 21.04 / Avg: 21.25 / Max: 21.4Min: 19.04 / Avg: 20.22 / Max: 20.93Min: 20.9 / Avg: 21.57 / Max: 22.16Min: 17.81 / Avg: 17.84 / Max: 17.9Min: 17.71 / Avg: 18.01 / Max: 18.17Min: 17.8 / Avg: 17.84 / Max: 17.88Min: 16.75 / Avg: 16.96 / Max: 17.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: bf16bf16bf16 - Engine: CPUXeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R612182430SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 321.6526.1821.4812.40MIN: 21.41MIN: 26.12MIN: 21.36MIN: 12.31. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: bf16bf16bf16 - Engine: CPUXeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R612182430Min: 21.64 / Avg: 21.65 / Max: 21.66Min: 26.16 / Avg: 26.18 / Max: 26.2Min: 21.47 / Avg: 21.48 / Max: 21.5Min: 12.38 / Avg: 12.4 / Max: 12.421. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

FFTW

FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 1D FFT Size 4096EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R12K24K36K48K60KSE +/- 152.30, N = 3SE +/- 144.01, N = 3SE +/- 510.01, N = 3SE +/- 246.81, N = 3SE +/- 512.89, N = 3SE +/- 579.41, N = 4SE +/- 138.35, N = 3SE +/- 228.23, N = 3SE +/- 123.40, N = 3SE +/- 114.65, N = 3SE +/- 544.47, N = 3SE +/- 338.23, N = 3SE +/- 711.03, N = 3SE +/- 501.34, N = 3SE +/- 367.61, N = 3SE +/- 63.71, N = 3SE +/- 891.01, N = 15SE +/- 449.86, N = 12SE +/- 618.83, N = 3SE +/- 43.18, N = 342474421684331340791437884367843784438044491443205429214344143161511105115648606277054307644100582901. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 1D FFT Size 4096EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R10K20K30K40K50KMin: 42203 / Avg: 42473.67 / Max: 42730Min: 41880 / Avg: 42167.67 / Max: 42324Min: 42679 / Avg: 43313 / Max: 44322Min: 40320 / Avg: 40791.33 / Max: 41154Min: 42803 / Avg: 43787.67 / Max: 44529Min: 42352 / Avg: 43677.5 / Max: 44983Min: 43585 / Avg: 43784 / Max: 44050Min: 43491 / Avg: 43803.67 / Max: 44248Min: 44672 / Avg: 44914.33 / Max: 45076Min: 42985 / Avg: 43205 / Max: 43371Min: 42256 / Avg: 42920.67 / Max: 44000Min: 43033 / Avg: 43440.67 / Max: 44112Min: 42186 / Avg: 43161 / Max: 44545Min: 50319 / Avg: 51109.67 / Max: 52039Min: 50607 / Avg: 51156 / Max: 51854Min: 48531 / Avg: 48606.33 / Max: 48733Min: 20961 / Avg: 27704.53 / Max: 32914Min: 38815 / Avg: 43076.17 / Max: 44939Min: 42879 / Avg: 44099.67 / Max: 44887Min: 58204 / Avg: 58290.33 / Max: 583351. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing on the CPU with the water_GMX50 data. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkXeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R0.41240.82481.23721.64962.062SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.005, N = 31.1720.8731.4451.8331. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkXeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R246810Min: 1.17 / Avg: 1.17 / Max: 1.17Min: 0.87 / Avg: 0.87 / Max: 0.88Min: 1.44 / Avg: 1.44 / Max: 1.45Min: 1.82 / Avg: 1.83 / Max: 1.841. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

OpenVINO

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 6226R0.26330.52660.78991.05321.3165SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.900.790.860.980.870.910.820.960.760.981.021.041.170.790.800.811.050.561. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 6226R246810Min: 0.89 / Avg: 0.9 / Max: 0.91Min: 0.79 / Avg: 0.79 / Max: 0.79Min: 0.86 / Avg: 0.86 / Max: 0.87Min: 0.98 / Avg: 0.98 / Max: 0.98Min: 0.87 / Avg: 0.87 / Max: 0.87Min: 0.91 / Avg: 0.91 / Max: 0.91Min: 0.81 / Avg: 0.82 / Max: 0.82Min: 0.95 / Avg: 0.96 / Max: 0.96Min: 0.76 / Avg: 0.76 / Max: 0.77Min: 0.97 / Avg: 0.98 / Max: 0.98Min: 1.02 / Avg: 1.02 / Max: 1.02Min: 1.03 / Avg: 1.04 / Max: 1.05Min: 1.17 / Avg: 1.17 / Max: 1.17Min: 0.79 / Avg: 0.79 / Max: 0.79Min: 0.8 / Avg: 0.8 / Max: 0.8Min: 0.81 / Avg: 0.81 / Max: 0.82Min: 1.05 / Avg: 1.05 / Max: 1.05Min: 0.56 / Avg: 0.56 / Max: 0.571. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1326395265SE +/- 0.53, N = 4SE +/- 0.09, N = 3SE +/- 0.20, N = 3SE +/- 0.20, N = 15SE +/- 0.12, N = 3SE +/- 0.08, N = 3SE +/- 0.10, N = 3SE +/- 0.32, N = 3SE +/- 0.15, N = 8SE +/- 0.14, N = 3SE +/- 0.29, N = 3SE +/- 0.37, N = 3SE +/- 0.75, N = 3SE +/- 0.06, N = 3SE +/- 0.23, N = 10SE +/- 0.27, N = 3SE +/- 0.16, N = 3SE +/- 0.27, N = 3SE +/- 0.15, N = 3SE +/- 0.20, N = 337.8531.5334.0337.0631.6832.4432.1534.5031.9735.0536.6737.2257.1233.6631.4133.0232.4930.6230.9227.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1122334455Min: 36.65 / Avg: 37.85 / Max: 39.21Min: 31.37 / Avg: 31.53 / Max: 31.69Min: 33.75 / Avg: 34.03 / Max: 34.41Min: 35.91 / Avg: 37.06 / Max: 38.58Min: 31.55 / Avg: 31.68 / Max: 31.91Min: 32.35 / Avg: 32.44 / Max: 32.6Min: 32.01 / Avg: 32.15 / Max: 32.34Min: 33.95 / Avg: 34.5 / Max: 35.06Min: 31.22 / Avg: 31.97 / Max: 32.54Min: 34.79 / Avg: 35.05 / Max: 35.29Min: 36.2 / Avg: 36.67 / Max: 37.21Min: 36.6 / Avg: 37.22 / Max: 37.87Min: 55.66 / Avg: 57.12 / Max: 58.17Min: 33.55 / Avg: 33.66 / Max: 33.77Min: 29.4 / Avg: 31.41 / Max: 31.94Min: 32.49 / Avg: 33.02 / Max: 33.31Min: 32.24 / Avg: 32.49 / Max: 32.79Min: 30.13 / Avg: 30.62 / Max: 31.07Min: 30.71 / Avg: 30.92 / Max: 31.22Min: 27.18 / Avg: 27.55 / Max: 27.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Node.js Express HTTP Load Test

A Node.js Express server with a Node-based loadtest client for facilitating HTTP benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterNode.js Express HTTP Load TestEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R13002600390052006500SE +/- 42.15, N = 3SE +/- 33.02, N = 15SE +/- 1.33, N = 3SE +/- 44.07, N = 4SE +/- 53.48, N = 3SE +/- 32.77, N = 15SE +/- 36.29, N = 3SE +/- 33.29, N = 15SE +/- 24.85, N = 3SE +/- 35.10, N = 3SE +/- 8.14, N = 3SE +/- 47.30, N = 3SE +/- 30.93, N = 3SE +/- 62.95, N = 3SE +/- 4.04, N = 3SE +/- 24.66, N = 3SE +/- 35.32, N = 3SE +/- 11.86, N = 3SE +/- 37.11, N = 3SE +/- 19.03, N = 3285033595135297140144000522630034350376249374719488745155661544849725487574058811. Nodejs v12.18.2
OpenBenchmarking.orgRequests Per Second, More Is BetterNode.js Express HTTP Load TestEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R10002000300040005000Min: 2767 / Avg: 2850.33 / Max: 2903Min: 3068 / Avg: 3359.4 / Max: 3589Min: 5134 / Avg: 5135.33 / Max: 5138Min: 2858 / Avg: 2971.25 / Max: 3059Min: 3933 / Avg: 4014 / Max: 4115Min: 3662 / Avg: 4000 / Max: 4169Min: 5160 / Avg: 5226.33 / Max: 5285Min: 2748 / Avg: 3002.73 / Max: 3153Min: 4306 / Avg: 4350 / Max: 4392Min: 3698 / Avg: 3762 / Max: 3819Min: 4924 / Avg: 4937 / Max: 4952Min: 4633 / Avg: 4719.33 / Max: 4796Min: 4849 / Avg: 4886.67 / Max: 4948Min: 4404 / Avg: 4514.67 / Max: 4622Min: 5656 / Avg: 5661 / Max: 5669Min: 5415 / Avg: 5447.67 / Max: 5496Min: 4922 / Avg: 4971.67 / Max: 5040Min: 5466 / Avg: 5487.33 / Max: 5507Min: 5666 / Avg: 5740 / Max: 5782Min: 5852 / Avg: 5881.33 / Max: 59171. Nodejs v12.18.2

OpenVINO

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 6226R0.26330.52660.78991.05321.3165SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.900.790.880.980.880.910.830.950.770.971.021.041.170.790.800.811.050.571. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 6226R246810Min: 0.89 / Avg: 0.9 / Max: 0.9Min: 0.79 / Avg: 0.79 / Max: 0.8Min: 0.88 / Avg: 0.88 / Max: 0.88Min: 0.98 / Avg: 0.98 / Max: 0.98Min: 0.87 / Avg: 0.88 / Max: 0.89Min: 0.91 / Avg: 0.91 / Max: 0.92Min: 0.82 / Avg: 0.83 / Max: 0.83Min: 0.95 / Avg: 0.95 / Max: 0.95Min: 0.76 / Avg: 0.77 / Max: 0.77Min: 0.97 / Avg: 0.97 / Max: 0.98Min: 1.01 / Avg: 1.02 / Max: 1.02Min: 1.04 / Avg: 1.04 / Max: 1.05Min: 1.16 / Avg: 1.17 / Max: 1.17Min: 0.79 / Avg: 0.79 / Max: 0.79Min: 0.8 / Avg: 0.8 / Max: 0.8Min: 0.81 / Avg: 0.81 / Max: 0.81Min: 1.05 / Avg: 1.05 / Max: 1.05Min: 0.56 / Avg: 0.57 / Max: 0.571. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

AI Benchmark Alpha

AI Benchmark Alpha is a Python library for evaluating artificial intelligence (AI) performance on diverse hardware platforms and relies upon the TensorFlow machine learning library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference ScoreEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R4008001200160020001020142215021638174618111858179619061908192819121843117616581831112895213851842

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R510152025SE +/- 0.16, N = 4SE +/- 0.04, N = 3SE +/- 0.23, N = 3SE +/- 0.20, N = 15SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.13, N = 3SE +/- 0.37, N = 3SE +/- 0.12, N = 8SE +/- 0.32, N = 3SE +/- 0.18, N = 3SE +/- 0.61, N = 3SE +/- 0.63, N = 3SE +/- 0.40, N = 2SE +/- 0.28, N = 10SE +/- 0.33, N = 3SE +/- 0.20, N = 3SE +/- 0.01, N = 3SE +/- 0.19, N = 3SE +/- 0.07, N = 312.8510.9411.3212.9610.0410.849.9511.0710.8511.3111.5911.2118.5110.449.8610.529.749.949.459.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R510152025Min: 12.47 / Avg: 12.85 / Max: 13.25Min: 10.89 / Avg: 10.94 / Max: 11.03Min: 10.87 / Avg: 11.32 / Max: 11.66Min: 11.74 / Avg: 12.96 / Max: 14.52Min: 9.96 / Avg: 10.04 / Max: 10.13Min: 10.75 / Avg: 10.84 / Max: 11.02Min: 9.82 / Avg: 9.95 / Max: 10.2Min: 10.66 / Avg: 11.07 / Max: 11.81Min: 10.47 / Avg: 10.85 / Max: 11.37Min: 10.87 / Avg: 11.31 / Max: 11.93Min: 11.35 / Avg: 11.59 / Max: 11.95Min: 10.53 / Avg: 11.21 / Max: 12.43Min: 17.78 / Avg: 18.51 / Max: 19.77Min: 10.04 / Avg: 10.44 / Max: 10.83Min: 8.01 / Avg: 9.86 / Max: 11.13Min: 9.92 / Avg: 10.52 / Max: 11.06Min: 9.48 / Avg: 9.74 / Max: 10.12Min: 9.91 / Avg: 9.94 / Max: 9.95Min: 9.26 / Avg: 9.45 / Max: 9.83Min: 9.02 / Avg: 9.15 / Max: 9.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

ASKAP

This is a CUDA benchmark of ATNF's ASKAP Benchmark with currently using the tConvolveCuda sub-test. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 2018-11-10Test: tConvolve MT - GriddingEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R10002000300040005000SE +/- 6.48, N = 3SE +/- 10.08, N = 3SE +/- 13.48, N = 3SE +/- 49.86, N = 4SE +/- 12.02, N = 3SE +/- 7.26, N = 3SE +/- 1.04, N = 3SE +/- 33.00, N = 3SE +/- 4.44, N = 3SE +/- 5.39, N = 3SE +/- 12.60, N = 3SE +/- 5.69, N = 3SE +/- 19.98, N = 3SE +/- 50.65, N = 3SE +/- 1.58, N = 3SE +/- 6.12, N = 3SE +/- 10.77, N = 3SE +/- 28.93, N = 4SE +/- 5.66, N = 3SE +/- 22.42, N = 32345.902334.813861.213651.003718.883622.053650.994254.943646.834265.804389.414445.334352.033088.714501.694225.372628.692229.242811.972991.281. (CXX) g++ options: -lpthread
OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 2018-11-10Test: tConvolve MT - GriddingEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R8001600240032004000Min: 2333.02 / Avg: 2345.9 / Max: 2353.64Min: 2324.11 / Avg: 2334.81 / Max: 2354.95Min: 3841.39 / Avg: 3861.21 / Max: 3886.95Min: 3503.37 / Avg: 3651 / Max: 3717.36Min: 3700.14 / Avg: 3718.88 / Max: 3741.3Min: 3613.31 / Avg: 3622.05 / Max: 3636.45Min: 3648.9 / Avg: 3650.99 / Max: 3652.03Min: 4190.95 / Avg: 4254.94 / Max: 4300.96Min: 3638 / Avg: 3646.83 / Max: 3652.03Min: 4255.84 / Avg: 4265.8 / Max: 4274.34Min: 4376.81 / Avg: 4389.41 / Max: 4414.61Min: 4434.14 / Avg: 4445.33 / Max: 4452.67Min: 4314.02 / Avg: 4352.03 / Max: 4381.69Min: 2987.44 / Avg: 3088.71 / Max: 3141.66Min: 4498.52 / Avg: 4501.69 / Max: 4503.27Min: 4217.92 / Avg: 4225.37 / Max: 4237.5Min: 2607.16 / Avg: 2628.69 / Max: 2639.46Min: 2142.91 / Avg: 2229.24 / Max: 2266.01Min: 2800.85 / Avg: 2811.97 / Max: 2819.39Min: 2948.16 / Avg: 2991.28 / Max: 3023.491. (CXX) g++ options: -lpthread

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin ProteinEPYC 7282EPYC 7352EPYC 7452EPYC 7532EPYC 7542EPYC 7F5248121620SE +/- 0.094, N = 3SE +/- 0.106, N = 8SE +/- 0.271, N = 14SE +/- 0.103, N = 15SE +/- 0.264, N = 15SE +/- 0.041, N = 37.21810.13214.56913.60514.3598.8921. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin ProteinEPYC 7282EPYC 7352EPYC 7452EPYC 7532EPYC 7542EPYC 7F5248121620Min: 7.06 / Avg: 7.22 / Max: 7.39Min: 9.86 / Avg: 10.13 / Max: 10.7Min: 12.88 / Avg: 14.57 / Max: 16.27Min: 13.17 / Avg: 13.6 / Max: 14.89Min: 13.64 / Avg: 14.36 / Max: 16.59Min: 8.83 / Avg: 8.89 / Max: 8.971. (CXX) g++ options: -O3 -pthread -lm

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: MallocEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R200M400M600M800M1000MSE +/- 191997.00, N = 3SE +/- 1775182.63, N = 3SE +/- 828548.78, N = 3SE +/- 5582686.96, N = 4SE +/- 7267307.29, N = 3SE +/- 7505047.53, N = 3SE +/- 2320863.50, N = 3SE +/- 6691126.83, N = 3SE +/- 3827416.70, N = 3SE +/- 12958817.78, N = 3SE +/- 14142485.95, N = 4SE +/- 14941610.79, N = 5SE +/- 8607660.07, N = 3SE +/- 506097.03, N = 3SE +/- 3887259.11, N = 3SE +/- 1557290.44, N = 3SE +/- 107622.97, N = 3SE +/- 38034.90, N = 3SE +/- 231978.26, N = 3SE +/- 583531.87, N = 363595537.41187592330.55244187311.27384604006.18424917536.89590141135.13616294829.53735684027.48638506395.09903000809.74986299971.451149281981.041123083708.67117957703.69326966719.16508508378.36142033162.4365589808.09144690258.11163780745.061. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: MallocEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R200M400M600M800M1000MMin: 63314674.99 / Avg: 63595537.41 / Max: 63962741.13Min: 184309391.65 / Avg: 187592330.55 / Max: 190404506.75Min: 243331735.41 / Avg: 244187311.27 / Max: 245844111.69Min: 373668851.33 / Avg: 384604006.18 / Max: 394823176.17Min: 414962112.87 / Avg: 424917536.89 / Max: 439066312.92Min: 578590393.16 / Avg: 590141135.13 / Max: 604217860.55Min: 613464334.56 / Avg: 616294829.53 / Max: 620896053.44Min: 728939655.18 / Avg: 735684027.48 / Max: 749066139.53Min: 631017463.82 / Avg: 638506395.09 / Max: 643623554.11Min: 887501124.56 / Avg: 903000809.74 / Max: 928739890.61Min: 960346669.18 / Avg: 986299971.45 / Max: 1017067226.89Min: 1124258696.24 / Avg: 1149281981.04 / Max: 1207808686.44Min: 1108609374.59 / Avg: 1123083708.67 / Max: 1138392162.81Min: 116945789.82 / Avg: 117957703.69 / Max: 118484284.65Min: 319750773.34 / Avg: 326966719.16 / Max: 333080673.82Min: 506299751.97 / Avg: 508508378.36 / Max: 511514516.37Min: 141851197.32 / Avg: 142033162.43 / Max: 142223717.23Min: 65530919.75 / Avg: 65589808.09 / Max: 65660954.57Min: 144429678.07 / Avg: 144690258.11 / Max: 145152986.5Min: 162733643.34 / Avg: 163780745.06 / Max: 164750627.421. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215SE +/- 0.138878, N = 3SE +/- 0.073743, N = 3SE +/- 0.008881, N = 3SE +/- 0.022639, N = 3SE +/- 0.047302, N = 3SE +/- 0.017093, N = 3SE +/- 0.009630, N = 3SE +/- 0.013881, N = 3SE +/- 0.007273, N = 3SE +/- 0.032461, N = 3SE +/- 0.008075, N = 3SE +/- 0.011173, N = 3SE +/- 0.001931, N = 3SE +/- 0.043546, N = 3SE +/- 0.035630, N = 3SE +/- 0.032371, N = 3SE +/- 0.001410, N = 3SE +/- 0.001569, N = 3SE +/- 0.000673, N = 3SE +/- 0.001465, N = 39.2430406.2764206.2336507.1586106.0899302.3771702.2049202.3959002.1137902.0771101.9732001.8492902.1177207.9683605.6195305.8107001.2722001.6192700.9749000.5328361. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215Min: 9 / Avg: 9.24 / Max: 9.48Min: 6.18 / Avg: 6.28 / Max: 6.42Min: 6.22 / Avg: 6.23 / Max: 6.24Min: 7.12 / Avg: 7.16 / Max: 7.19Min: 6.03 / Avg: 6.09 / Max: 6.18Min: 2.34 / Avg: 2.38 / Max: 2.4Min: 2.19 / Avg: 2.2 / Max: 2.22Min: 2.37 / Avg: 2.4 / Max: 2.42Min: 2.1 / Avg: 2.11 / Max: 2.13Min: 2.03 / Avg: 2.08 / Max: 2.14Min: 1.96 / Avg: 1.97 / Max: 1.99Min: 1.83 / Avg: 1.85 / Max: 1.87Min: 2.11 / Avg: 2.12 / Max: 2.12Min: 7.89 / Avg: 7.97 / Max: 8.04Min: 5.55 / Avg: 5.62 / Max: 5.66Min: 5.75 / Avg: 5.81 / Max: 5.86Min: 1.27 / Avg: 1.27 / Max: 1.27Min: 1.62 / Avg: 1.62 / Max: 1.62Min: 0.97 / Avg: 0.97 / Max: 0.98Min: 0.53 / Avg: 0.53 / Max: 0.541. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

ArrayFire

ArrayFire is an GPU and CPU numeric processing library, this test uses the built-in CPU and OpenCL ArrayFire benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS, More Is BetterArrayFire 3.7Test: BLAS CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R400800120016002000SE +/- 2.93, N = 3SE +/- 2.71, N = 3SE +/- 0.89, N = 3SE +/- 4.51, N = 3SE +/- 0.99, N = 3SE +/- 11.73, N = 15SE +/- 4.31, N = 3SE +/- 7.08, N = 3SE +/- 17.83, N = 12SE +/- 10.65, N = 15SE +/- 13.69, N = 3SE +/- 14.16, N = 15SE +/- 7.11, N = 3SE +/- 3.52, N = 3SE +/- 1.85, N = 3SE +/- 4.46, N = 3SE +/- 5.79, N = 15SE +/- 4.82, N = 12SE +/- 12.27, N = 3SE +/- 24.61, N = 3175.49346.25367.57362.45396.26487.74606.34509.24653.71576.21796.30694.25772.58220.92456.91599.53740.13570.34972.601962.461. (CXX) g++ options: -rdynamic
OpenBenchmarking.orgGFLOPS, More Is BetterArrayFire 3.7Test: BLAS CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R30060090012001500Min: 172.22 / Avg: 175.49 / Max: 181.35Min: 343.18 / Avg: 346.25 / Max: 351.65Min: 366.05 / Avg: 367.57 / Max: 369.13Min: 354.07 / Avg: 362.45 / Max: 369.54Min: 394.83 / Avg: 396.26 / Max: 398.16Min: 409.82 / Avg: 487.74 / Max: 551.45Min: 598.79 / Avg: 606.34 / Max: 613.71Min: 496.76 / Avg: 509.24 / Max: 521.25Min: 463.09 / Avg: 653.71 / Max: 684.82Min: 473.19 / Avg: 576.2 / Max: 636.28Min: 773.92 / Avg: 796.3 / Max: 821.15Min: 594.64 / Avg: 694.25 / Max: 820.64Min: 758.61 / Avg: 772.58 / Max: 781.84Min: 216.26 / Avg: 220.92 / Max: 227.82Min: 453.26 / Avg: 456.91 / Max: 459.2Min: 594.65 / Avg: 599.53 / Max: 608.44Min: 690.23 / Avg: 740.13 / Max: 763.18Min: 517.95 / Avg: 570.34 / Max: 578.25Min: 948.07 / Avg: 972.6 / Max: 985.37Min: 1913.31 / Avg: 1962.46 / Max: 1989.421. (CXX) g++ options: -rdynamic

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R48121620SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.12, N = 12SE +/- 0.02, N = 3SE +/- 0.15, N = 3SE +/- 0.20, N = 152.862.152.132.041.821.871.791.811.731.951.811.581.602.401.821.6713.7816.8912.8614.94
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R48121620Min: 2.81 / Avg: 2.86 / Max: 2.93Min: 2.11 / Avg: 2.15 / Max: 2.19Min: 2.11 / Avg: 2.13 / Max: 2.15Min: 2.03 / Avg: 2.04 / Max: 2.05Min: 1.81 / Avg: 1.82 / Max: 1.84Min: 1.86 / Avg: 1.87 / Max: 1.87Min: 1.77 / Avg: 1.79 / Max: 1.81Min: 1.8 / Avg: 1.81 / Max: 1.82Min: 1.71 / Avg: 1.73 / Max: 1.74Min: 1.94 / Avg: 1.95 / Max: 1.95Min: 1.79 / Avg: 1.81 / Max: 1.83Min: 1.56 / Avg: 1.58 / Max: 1.61Min: 1.57 / Avg: 1.6 / Max: 1.62Min: 2.38 / Avg: 2.4 / Max: 2.43Min: 1.78 / Avg: 1.82 / Max: 1.87Min: 1.65 / Avg: 1.67 / Max: 1.69Min: 12.84 / Avg: 13.78 / Max: 14.13Min: 16.86 / Avg: 16.89 / Max: 16.94Min: 12.69 / Avg: 12.86 / Max: 13.17Min: 13.66 / Avg: 14.94 / Max: 15.84

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Vector MathEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R90K180K270K360K450KSE +/- 13.07, N = 3SE +/- 2.57, N = 3SE +/- 1.03, N = 3SE +/- 6.59, N = 3SE +/- 70.64, N = 3SE +/- 241.85, N = 3SE +/- 170.79, N = 3SE +/- 154.60, N = 3SE +/- 23.85, N = 3SE +/- 446.26, N = 3SE +/- 29.41, N = 3SE +/- 358.04, N = 3SE +/- 83.51, N = 3SE +/- 5.55, N = 3SE +/- 49.61, N = 3SE +/- 478.76, N = 3SE +/- 1.38, N = 3SE +/- 11.49, N = 3SE +/- 1.75, N = 3SE +/- 13.64, N = 357789.41117313.44120965.20164870.78183035.44221038.57237835.68231415.93241837.62327568.79331524.05400119.36396445.8970550.59142745.02198355.5761031.3239810.6861047.0680190.471. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Vector MathEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R70K140K210K280K350KMin: 57765.31 / Avg: 57789.41 / Max: 57810.22Min: 117308.69 / Avg: 117313.44 / Max: 117317.53Min: 120963.15 / Avg: 120965.2 / Max: 120966.42Min: 164858.89 / Avg: 164870.78 / Max: 164881.64Min: 182894.29 / Avg: 183035.44 / Max: 183111.31Min: 220563.4 / Avg: 221038.57 / Max: 221354.45Min: 237534.61 / Avg: 237835.68 / Max: 238125.95Min: 231107.25 / Avg: 231415.93 / Max: 231585.92Min: 241796.34 / Avg: 241837.62 / Max: 241878.96Min: 327108.52 / Avg: 327568.79 / Max: 328461.17Min: 331468.73 / Avg: 331524.05 / Max: 331569.02Min: 399403.88 / Avg: 400119.36 / Max: 400502.51Min: 396281.89 / Avg: 396445.89 / Max: 396555.31Min: 70544.38 / Avg: 70550.59 / Max: 70561.67Min: 142645.8 / Avg: 142745.02 / Max: 142795.63Min: 197658.29 / Avg: 198355.57 / Max: 199272.52Min: 61028.99 / Avg: 61031.32 / Max: 61033.78Min: 39788.78 / Avg: 39810.68 / Max: 39827.67Min: 61044.49 / Avg: 61047.06 / Max: 61050.39Min: 80164.42 / Avg: 80190.47 / Max: 80210.541. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

Timed HMMer Search

This test searches through the Pfam database of profile hidden markov models. The search finds the domain structure of Drosophila Sevenless protein. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R50100150200250SE +/- 0.12, N = 3SE +/- 0.14, N = 3SE +/- 0.07, N = 3SE +/- 0.15, N = 3SE +/- 0.15, N = 3SE +/- 0.11, N = 3SE +/- 0.17, N = 3SE +/- 0.12, N = 3SE +/- 0.19, N = 3SE +/- 0.50, N = 3SE +/- 0.26, N = 3SE +/- 0.15, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.37, N = 3SE +/- 0.27, N = 3SE +/- 0.46, N = 3SE +/- 0.31, N = 3142.11154.16152.56172.65164.12178.14177.15184.93173.90209.73210.42235.71233.99118.05131.90142.29230.99169.81203.83172.691. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R4080120160200Min: 141.91 / Avg: 142.11 / Max: 142.32Min: 153.9 / Avg: 154.16 / Max: 154.39Min: 152.43 / Avg: 152.56 / Max: 152.67Min: 172.5 / Avg: 172.65 / Max: 172.96Min: 163.95 / Avg: 164.12 / Max: 164.42Min: 177.99 / Avg: 178.14 / Max: 178.35Min: 176.81 / Avg: 177.15 / Max: 177.32Min: 184.68 / Avg: 184.93 / Max: 185.07Min: 173.55 / Avg: 173.9 / Max: 174.18Min: 209.23 / Avg: 209.73 / Max: 210.73Min: 209.97 / Avg: 210.42 / Max: 210.89Min: 235.48 / Avg: 235.71 / Max: 235.99Min: 233.79 / Avg: 233.98 / Max: 234.09Min: 117.99 / Avg: 118.05 / Max: 118.14Min: 131.83 / Avg: 131.9 / Max: 132Min: 142.2 / Avg: 142.29 / Max: 142.43Min: 230.35 / Avg: 230.99 / Max: 231.61Min: 169.43 / Avg: 169.81 / Max: 170.33Min: 203.28 / Avg: 203.83 / Max: 204.75Min: 172.1 / Avg: 172.69 / Max: 173.161. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

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 2020-09-17Model: inception-v3EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1224364860SE +/- 0.25, N = 12SE +/- 0.40, N = 3SE +/- 0.21, N = 3SE +/- 0.19, N = 15SE +/- 0.23, N = 15SE +/- 0.09, N = 15SE +/- 0.13, N = 3SE +/- 0.26, N = 15SE +/- 0.10, N = 12SE +/- 0.12, N = 15SE +/- 0.07, N = 3SE +/- 0.13, N = 15SE +/- 0.23, N = 12SE +/- 0.66, N = 3SE +/- 0.19, N = 15SE +/- 0.23, N = 15SE +/- 0.13, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.19, N = 1251.1137.1640.2537.0033.2928.0027.3928.7826.9229.0828.2928.3232.5345.2134.1832.6049.6153.3449.7447.151. (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 2020-09-17Model: inception-v3EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1122334455Min: 49.99 / Avg: 51.11 / Max: 52.36Min: 36.4 / Avg: 37.16 / Max: 37.73Min: 40.01 / Avg: 40.25 / Max: 40.66Min: 35.97 / Avg: 37 / Max: 38.04Min: 32.08 / Avg: 33.29 / Max: 35.28Min: 27.56 / Avg: 28 / Max: 28.75Min: 27.23 / Avg: 27.39 / Max: 27.64Min: 27.78 / Avg: 28.78 / Max: 31.81Min: 26.35 / Avg: 26.92 / Max: 27.47Min: 28.43 / Avg: 29.08 / Max: 29.83Min: 28.21 / Avg: 28.29 / Max: 28.43Min: 27.64 / Avg: 28.32 / Max: 29.38Min: 31.11 / Avg: 32.53 / Max: 33.96Min: 44.43 / Avg: 45.21 / Max: 46.53Min: 33.19 / Avg: 34.18 / Max: 35.14Min: 31.3 / Avg: 32.6 / Max: 33.96Min: 49.47 / Avg: 49.61 / Max: 49.86Min: 53.19 / Avg: 53.34 / Max: 53.43Min: 49.67 / Avg: 49.74 / Max: 49.8Min: 46.1 / Avg: 47.15 / Max: 48.31. (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

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k AtomsEPYC 7282EPYC 7352EPYC 7452EPYC 7532EPYC 7542EPYC 7F5248121620SE +/- 0.174, N = 3SE +/- 0.025, N = 3SE +/- 0.033, N = 3SE +/- 0.016, N = 3SE +/- 0.038, N = 3SE +/- 0.013, N = 39.12313.12916.23717.27618.0289.2871. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k AtomsEPYC 7282EPYC 7352EPYC 7452EPYC 7532EPYC 7542EPYC 7F52510152025Min: 8.78 / Avg: 9.12 / Max: 9.34Min: 13.09 / Avg: 13.13 / Max: 13.18Min: 16.19 / Avg: 16.24 / Max: 16.3Min: 17.25 / Avg: 17.28 / Max: 17.31Min: 17.96 / Avg: 18.03 / Max: 18.09Min: 9.26 / Avg: 9.29 / Max: 9.31. (CXX) g++ options: -O3 -pthread -lm

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1428425670SE +/- 0.19, N = 4SE +/- 0.34, N = 3SE +/- 0.87, N = 3SE +/- 0.31, N = 15SE +/- 0.31, N = 3SE +/- 0.84, N = 3SE +/- 0.76, N = 3SE +/- 0.72, N = 3SE +/- 0.15, N = 8SE +/- 0.17, N = 3SE +/- 0.41, N = 3SE +/- 0.54, N = 3SE +/- 0.41, N = 3SE +/- 0.35, N = 3SE +/- 0.68, N = 10SE +/- 0.32, N = 3SE +/- 0.26, N = 3SE +/- 0.63, N = 3SE +/- 0.05, N = 3SE +/- 0.15, N = 350.0139.3137.8941.9932.4933.5533.0338.8032.6439.9343.4643.9263.7140.0137.1836.9733.2141.1632.6933.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1224364860Min: 49.52 / Avg: 50.01 / Max: 50.37Min: 38.86 / Avg: 39.31 / Max: 39.99Min: 36.71 / Avg: 37.89 / Max: 39.58Min: 39.76 / Avg: 41.99 / Max: 43.74Min: 32.12 / Avg: 32.49 / Max: 33.11Min: 32.39 / Avg: 33.55 / Max: 35.17Min: 32.11 / Avg: 33.03 / Max: 34.53Min: 37.36 / Avg: 38.8 / Max: 39.61Min: 32.07 / Avg: 32.64 / Max: 33.38Min: 39.66 / Avg: 39.93 / Max: 40.24Min: 42.79 / Avg: 43.46 / Max: 44.19Min: 43.08 / Avg: 43.92 / Max: 44.93Min: 63.27 / Avg: 63.71 / Max: 64.54Min: 39.57 / Avg: 40.01 / Max: 40.7Min: 31.85 / Avg: 37.18 / Max: 39.52Min: 36.47 / Avg: 36.97 / Max: 37.57Min: 32.79 / Avg: 33.21 / Max: 33.69Min: 39.95 / Avg: 41.16 / Max: 42.09Min: 32.58 / Avg: 32.69 / Max: 32.76Min: 33.75 / Avg: 33.93 / Max: 34.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradebeansEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R2K4K6K8K10KSE +/- 23.71, N = 4SE +/- 46.47, N = 4SE +/- 14.21, N = 4SE +/- 61.44, N = 4SE +/- 42.04, N = 4SE +/- 20.46, N = 4SE +/- 24.99, N = 4SE +/- 36.18, N = 4SE +/- 46.36, N = 4SE +/- 54.16, N = 4SE +/- 33.92, N = 4SE +/- 37.54, N = 4SE +/- 16.56, N = 4SE +/- 27.00, N = 4SE +/- 34.74, N = 4SE +/- 13.19, N = 4SE +/- 114.57, N = 4SE +/- 20.46, N = 4SE +/- 86.99, N = 4SE +/- 38.64, N = 455166581724272277211703570387470706972177391728874074686546152169182559578437064
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradebeansEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R16003200480064008000Min: 5452 / Avg: 5516.25 / Max: 5566Min: 6450 / Avg: 6581.25 / Max: 6666Min: 7204 / Avg: 7241.75 / Max: 7269Min: 7055 / Avg: 7226.5 / Max: 7343Min: 7118 / Avg: 7211 / Max: 7313Min: 6980 / Avg: 7034.5 / Max: 7075Min: 6980 / Avg: 7037.75 / Max: 7095Min: 7396 / Avg: 7470.25 / Max: 7545Min: 6961 / Avg: 7069.25 / Max: 7164Min: 7119 / Avg: 7217.25 / Max: 7313Min: 7328 / Avg: 7390.5 / Max: 7469Min: 7188 / Avg: 7287.5 / Max: 7348Min: 7374 / Avg: 7406.5 / Max: 7446Min: 4611 / Avg: 4685.5 / Max: 4733Min: 5376 / Avg: 5461.25 / Max: 5526Min: 5179 / Avg: 5215.5 / Max: 5240Min: 8913 / Avg: 9181.75 / Max: 9467Min: 5563 / Avg: 5594.5 / Max: 5653Min: 7691 / Avg: 7842.75 / Max: 8016Min: 6980 / Avg: 7063.75 / Max: 7161

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 0.7.3Encoder Speed: 0EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R306090120150SE +/- 0.38, N = 3SE +/- 0.27, N = 3SE +/- 0.16, N = 3SE +/- 0.36, N = 3SE +/- 0.08, N = 3SE +/- 0.26, N = 3SE +/- 0.13, N = 3SE +/- 0.39, N = 3SE +/- 0.22, N = 3SE +/- 0.12, N = 3SE +/- 0.19, N = 3SE +/- 0.21, N = 3SE +/- 0.31, N = 3SE +/- 0.49, N = 3SE +/- 0.40, N = 3SE +/- 0.23, N = 3109.6679.2975.2176.7868.8067.9466.6468.9664.5289.8063.8262.56104.56122.55100.3982.031. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R20406080100Min: 109.05 / Avg: 109.66 / Max: 110.37Min: 78.76 / Avg: 79.29 / Max: 79.57Min: 74.93 / Avg: 75.21 / Max: 75.47Min: 76.12 / Avg: 76.78 / Max: 77.36Min: 68.66 / Avg: 68.8 / Max: 68.93Min: 67.52 / Avg: 67.94 / Max: 68.41Min: 66.44 / Avg: 66.64 / Max: 66.88Min: 68.24 / Avg: 68.96 / Max: 69.6Min: 64.27 / Avg: 64.51 / Max: 64.96Min: 89.62 / Avg: 89.8 / Max: 90.03Min: 63.45 / Avg: 63.82 / Max: 64.1Min: 62.19 / Avg: 62.56 / Max: 62.91Min: 103.94 / Avg: 104.56 / Max: 104.9Min: 121.59 / Avg: 122.55 / Max: 123.16Min: 99.85 / Avg: 100.39 / Max: 101.17Min: 81.65 / Avg: 82.03 / Max: 82.431. (CXX) g++ options: -O3 -fPIC

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 2.0Preset: MediumEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 35.518.408.077.897.257.136.997.146.816.766.756.626.588.846.856.664.896.879.478.751. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215Min: 5.51 / Avg: 5.51 / Max: 5.52Min: 8.38 / Avg: 8.4 / Max: 8.43Min: 8.05 / Avg: 8.07 / Max: 8.09Min: 7.87 / Avg: 7.89 / Max: 7.9Min: 7.24 / Avg: 7.25 / Max: 7.26Min: 7.12 / Avg: 7.13 / Max: 7.15Min: 6.97 / Avg: 6.99 / Max: 7Min: 7.13 / Avg: 7.14 / Max: 7.15Min: 6.8 / Avg: 6.81 / Max: 6.81Min: 6.74 / Avg: 6.76 / Max: 6.78Min: 6.73 / Avg: 6.75 / Max: 6.77Min: 6.6 / Avg: 6.62 / Max: 6.66Min: 6.57 / Avg: 6.58 / Max: 6.6Min: 8.82 / Avg: 8.84 / Max: 8.85Min: 6.84 / Avg: 6.85 / Max: 6.86Min: 6.63 / Avg: 6.66 / Max: 6.67Min: 4.89 / Avg: 4.89 / Max: 4.89Min: 6.87 / Avg: 6.87 / Max: 6.87Min: 9.46 / Avg: 9.47 / Max: 9.48Min: 8.69 / Avg: 8.75 / Max: 8.81. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

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 0.7.3Encoder Speed: 2EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1632486480SE +/- 0.29, N = 3SE +/- 0.23, N = 3SE +/- 0.21, N = 3SE +/- 0.10, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.18, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.19, N = 3SE +/- 0.05, N = 3SE +/- 0.44, N = 3SE +/- 0.08, N = 3SE +/- 0.28, N = 3SE +/- 0.24, N = 365.9447.5145.2546.3341.2640.9740.0041.2838.7353.9538.5937.7061.9671.7758.2049.021. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1428425670Min: 65.38 / Avg: 65.94 / Max: 66.34Min: 47.21 / Avg: 47.51 / Max: 47.96Min: 44.95 / Avg: 45.25 / Max: 45.64Min: 46.14 / Avg: 46.33 / Max: 46.45Min: 41.22 / Avg: 41.26 / Max: 41.28Min: 40.77 / Avg: 40.97 / Max: 41.1Min: 39.91 / Avg: 40 / Max: 40.04Min: 41.04 / Avg: 41.28 / Max: 41.64Min: 38.64 / Avg: 38.72 / Max: 38.81Min: 53.84 / Avg: 53.95 / Max: 54.03Min: 38.31 / Avg: 38.59 / Max: 38.96Min: 37.64 / Avg: 37.7 / Max: 37.8Min: 61.29 / Avg: 61.96 / Max: 62.79Min: 71.6 / Avg: 71.77 / Max: 71.87Min: 57.86 / Avg: 58.2 / Max: 58.76Min: 48.77 / Avg: 49.02 / Max: 49.51. (CXX) g++ options: -O3 -fPIC

DeepSpeech

Mozilla DeepSpeech is a speech-to-text engine powered by TensorFlow for machine learning and derived from Baidu's Deep Speech research paper. This test profile times the speech-to-text process for a roughly three minute audio recording. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R306090120150SE +/- 0.20, N = 3SE +/- 0.15, N = 3SE +/- 0.12, N = 3SE +/- 0.32, N = 3SE +/- 0.16, N = 3SE +/- 0.73, N = 3SE +/- 0.21, N = 3SE +/- 0.25, N = 3SE +/- 0.11, N = 3SE +/- 0.18, N = 3SE +/- 0.26, N = 3SE +/- 0.26, N = 3SE +/- 0.16, N = 3SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.23, N = 3SE +/- 0.79, N = 3SE +/- 0.23, N = 3SE +/- 1.01, N = 3SE +/- 0.44, N = 382.1883.0881.8682.2881.5781.9881.5281.7580.7880.3979.5179.6380.0374.9773.8972.53137.77124.99132.07127.35
OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R306090120150Min: 81.89 / Avg: 82.18 / Max: 82.56Min: 82.9 / Avg: 83.08 / Max: 83.37Min: 81.69 / Avg: 81.86 / Max: 82.1Min: 81.65 / Avg: 82.28 / Max: 82.63Min: 81.27 / Avg: 81.57 / Max: 81.78Min: 81.13 / Avg: 81.98 / Max: 83.42Min: 81.31 / Avg: 81.52 / Max: 81.94Min: 81.37 / Avg: 81.75 / Max: 82.23Min: 80.56 / Avg: 80.78 / Max: 80.91Min: 80.14 / Avg: 80.39 / Max: 80.74Min: 79.03 / Avg: 79.51 / Max: 79.93Min: 79.24 / Avg: 79.63 / Max: 80.11Min: 79.72 / Avg: 80.03 / Max: 80.26Min: 74.89 / Avg: 74.97 / Max: 75.09Min: 73.69 / Avg: 73.89 / Max: 74.1Min: 72.07 / Avg: 72.53 / Max: 72.82Min: 136.3 / Avg: 137.77 / Max: 138.99Min: 124.54 / Avg: 124.99 / Max: 125.3Min: 130.82 / Avg: 132.07 / Max: 134.08Min: 126.48 / Avg: 127.35 / Max: 127.91

Stream

This benchmark tests the system memory (RAM) performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterStream 2013-01-17Type: CopyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R20K40K60K80K100KSE +/- 12.43, N = 5SE +/- 7.59, N = 5SE +/- 15.92, N = 5SE +/- 86.08, N = 5SE +/- 18.34, N = 5SE +/- 12.81, N = 5SE +/- 23.76, N = 5SE +/- 34.39, N = 5SE +/- 12.50, N = 5SE +/- 27.16, N = 5SE +/- 23.52, N = 5SE +/- 32.77, N = 5SE +/- 35.94, N = 5SE +/- 40.08, N = 5SE +/- 13.28, N = 5SE +/- 14.01, N = 5SE +/- 97.17, N = 5SE +/- 68.21, N = 5SE +/- 148.23, N = 5SE +/- 165.80, N = 552350.551217.180513.079301.479953.879606.679634.291183.679643.988756.690802.590228.389704.681278.991926.788258.287041.375198.092767.696673.91. (CC) gcc options: -O3 -march=native -fopenmp
OpenBenchmarking.orgMB/s, More Is BetterStream 2013-01-17Type: CopyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R20K40K60K80K100KMin: 52328.6 / Avg: 52350.52 / Max: 52398.9Min: 51191.8 / Avg: 51217.06 / Max: 51236Min: 80462.4 / Avg: 80513 / Max: 80556.1Min: 79070.7 / Avg: 79301.44 / Max: 79534.5Min: 79896.3 / Avg: 79953.78 / Max: 80003.9Min: 79558.1 / Avg: 79606.62 / Max: 79628.9Min: 79574.2 / Avg: 79634.24 / Max: 79689.4Min: 91080.3 / Avg: 91183.56 / Max: 91262.4Min: 79601.5 / Avg: 79643.86 / Max: 79678.1Min: 88696.8 / Avg: 88756.64 / Max: 88824.7Min: 90737.9 / Avg: 90802.52 / Max: 90873.1Min: 90109.3 / Avg: 90228.28 / Max: 90303.3Min: 89606.3 / Avg: 89704.6 / Max: 89822.2Min: 81165 / Avg: 81278.94 / Max: 81396.4Min: 91885.9 / Avg: 91926.68 / Max: 91960.2Min: 88222.2 / Avg: 88258.16 / Max: 88304.6Min: 86885.8 / Avg: 87041.3 / Max: 87407.5Min: 75047.4 / Avg: 75198 / Max: 75443.1Min: 92250.9 / Avg: 92767.58 / Max: 93067.2Min: 96159.7 / Avg: 96673.88 / Max: 97139.61. (CC) gcc options: -O3 -march=native -fopenmp

MariaDB

This is a MariaDB MySQL database server benchmark making use of mysqlslap. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.5.2Clients: 32EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R9001800270036004500SE +/- 8.15, N = 3SE +/- 3.98, N = 3SE +/- 1.77, N = 3SE +/- 1.63, N = 3SE +/- 5.99, N = 3SE +/- 3.67, N = 3SE +/- 3.57, N = 3SE +/- 3.11, N = 3SE +/- 5.96, N = 3SE +/- 1.98, N = 3SE +/- 8.25, N = 3SE +/- 1.85, N = 3SE +/- 1.89, N = 3SE +/- 12.04, N = 3SE +/- 2.21, N = 3SE +/- 5.12, N = 3SE +/- 7.11, N = 3SE +/- 15.12, N = 3SE +/- 4.80, N = 3SE +/- 4.15, N = 4216926252301220924452346248823202602243524832355238521932575276835093375379740691. (CXX) g++ options: -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -ldl
OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.5.2Clients: 32EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R7001400210028003500Min: 2155.17 / Avg: 2169.26 / Max: 2183.41Min: 2617.8 / Avg: 2624.68 / Max: 2631.58Min: 2298.85 / Avg: 2300.62 / Max: 2304.15Min: 2207.51 / Avg: 2209.13 / Max: 2212.39Min: 2439.02 / Avg: 2445.02 / Max: 2457Min: 2341.92 / Avg: 2345.59 / Max: 2352.94Min: 2481.39 / Avg: 2487.57 / Max: 2493.77Min: 2314.81 / Avg: 2320.19 / Max: 2325.58Min: 2590.67 / Avg: 2601.94 / Max: 2610.97Min: 2433.09 / Avg: 2435.07 / Max: 2439.02Min: 2475.25 / Avg: 2483.5 / Max: 2500Min: 2352.94 / Avg: 2354.79 / Max: 2358.49Min: 2380.95 / Avg: 2384.74 / Max: 2386.63Min: 2169.2 / Avg: 2193.12 / Max: 2207.51Min: 2570.69 / Avg: 2575.11 / Max: 2577.32Min: 2762.43 / Avg: 2767.55 / Max: 2777.78Min: 3496.5 / Avg: 3508.8 / Max: 3521.13Min: 3344.48 / Avg: 3374.71 / Max: 3389.83Min: 3787.88 / Avg: 3797.48 / Max: 3802.28Min: 4065.04 / Avg: 4069.19 / Max: 4081.631. (CXX) g++ options: -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -ldl

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R40K80K120K160K200KSE +/- 1138.71, N = 3SE +/- 18.90, N = 3SE +/- 74.55, N = 3SE +/- 283.68, N = 3SE +/- 104.74, N = 3SE +/- 65.84, N = 3SE +/- 119.50, N = 3SE +/- 2602.65, N = 4SE +/- 309.87, N = 3SE +/- 5113.88, N = 12SE +/- 4669.23, N = 12SE +/- 118.55, N = 3SE +/- 207.27, N = 3SE +/- 259.29, N = 3SE +/- 158.88, N = 3SE +/- 1785.82, N = 3SE +/- 12.17, N = 3SE +/- 135.68, N = 3SE +/- 25.72, N = 3SE +/- 1189.59, N = 3151504150213147070169060149533170209163571182245157348132666150608122716123652138475138300151858120506973351114231070951. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R30K60K90K120K150KMin: 150249 / Avg: 151503.67 / Max: 153777Min: 150185 / Avg: 150213 / Max: 150249Min: 146991 / Avg: 147070 / Max: 147219Min: 168535 / Avg: 169059.67 / Max: 169509Min: 149413 / Avg: 149533.33 / Max: 149742Min: 170097 / Avg: 170209.33 / Max: 170325Min: 163333 / Avg: 163571.33 / Max: 163706Min: 175128 / Avg: 182244.75 / Max: 187464Min: 156779 / Avg: 157348.33 / Max: 157845Min: 119362 / Avg: 132665.67 / Max: 167664Min: 121179 / Avg: 150607.67 / Max: 168454Min: 122555 / Avg: 122715.67 / Max: 122947Min: 123343 / Avg: 123652.33 / Max: 124046Min: 137991 / Avg: 138475.33 / Max: 138878Min: 138096 / Avg: 138300 / Max: 138613Min: 149741 / Avg: 151858.33 / Max: 155408Min: 120486 / Avg: 120506 / Max: 120528Min: 97099 / Avg: 97335 / Max: 97569Min: 111383 / Avg: 111423 / Max: 111471Min: 104810 / Avg: 107095.33 / Max: 1088111. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: H2EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R15003000450060007500SE +/- 38.97, N = 4SE +/- 43.33, N = 4SE +/- 30.25, N = 4SE +/- 52.55, N = 4SE +/- 40.00, N = 4SE +/- 70.51, N = 4SE +/- 20.63, N = 4SE +/- 37.98, N = 4SE +/- 22.38, N = 4SE +/- 38.12, N = 4SE +/- 41.17, N = 4SE +/- 31.24, N = 4SE +/- 69.19, N = 4SE +/- 38.45, N = 4SE +/- 44.91, N = 4SE +/- 29.68, N = 4SE +/- 21.52, N = 4SE +/- 59.46, N = 5SE +/- 39.96, N = 4SE +/- 31.00, N = 447125029505156335457575457275856571362706196659664433724385641236854465958925141
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: H2EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R12002400360048006000Min: 4618 / Avg: 4712 / Max: 4803Min: 4903 / Avg: 5028.5 / Max: 5102Min: 4966 / Avg: 5050.75 / Max: 5105Min: 5484 / Avg: 5633 / Max: 5724Min: 5386 / Avg: 5457.25 / Max: 5529Min: 5574 / Avg: 5753.75 / Max: 5903Min: 5686 / Avg: 5727 / Max: 5764Min: 5756 / Avg: 5855.5 / Max: 5939Min: 5658 / Avg: 5712.5 / Max: 5753Min: 6211 / Avg: 6270 / Max: 6381Min: 6082 / Avg: 6195.75 / Max: 6270Min: 6503 / Avg: 6595.5 / Max: 6640Min: 6285 / Avg: 6442.5 / Max: 6622Min: 3675 / Avg: 3724.25 / Max: 3839Min: 3739 / Avg: 3856 / Max: 3927Min: 4069 / Avg: 4122.75 / Max: 4194Min: 6805 / Avg: 6854 / Max: 6907Min: 4497 / Avg: 4659.2 / Max: 4852Min: 5775 / Avg: 5891.5 / Max: 5952Min: 5080 / Avg: 5141.25 / Max: 5200

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: Material TesterEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R60120180240300294.77187.00192.27181.45171.91174.46169.80182.49168.49178.69180.85178.64179.75258.08190.98173.88191.24278.36176.68160.49

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R20K40K60K80K100KSE +/- 159.45, N = 3SE +/- 99.31, N = 3SE +/- 48.50, N = 3SE +/- 295.81, N = 3SE +/- 46.07, N = 3SE +/- 40.88, N = 3SE +/- 120.31, N = 3SE +/- 482.48, N = 3SE +/- 34.00, N = 3SE +/- 2925.14, N = 15SE +/- 1639.18, N = 15SE +/- 14.77, N = 3SE +/- 98.16, N = 3SE +/- 215.91, N = 3SE +/- 58.89, N = 3SE +/- 270.59, N = 3SE +/- 25.17, N = 3SE +/- 56.11, N = 3SE +/- 45.70, N = 3SE +/- 886.82, N = 375301751927366084809748428523081848886947905068979702906156862139688356910774949603954863255863528641. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R15K30K45K60K75KMin: 74989 / Avg: 75300.67 / Max: 75515Min: 75035 / Avg: 75192.33 / Max: 75376Min: 73563 / Avg: 73660 / Max: 73709Min: 84435 / Avg: 84809 / Max: 85393Min: 74784 / Avg: 74842 / Max: 74933Min: 85148 / Avg: 85229.67 / Max: 85274Min: 81658 / Avg: 81848.33 / Max: 82071Min: 87822 / Avg: 88693.67 / Max: 89488Min: 78982 / Avg: 79050 / Max: 79084Min: 59677 / Avg: 68979.2 / Max: 84033Min: 59832 / Avg: 70290.07 / Max: 83284Min: 61539 / Avg: 61568.33 / Max: 61586Min: 61998 / Avg: 62139.33 / Max: 62328Min: 68517 / Avg: 68835 / Max: 69247Min: 69005 / Avg: 69106.67 / Max: 69209Min: 74488 / Avg: 74949 / Max: 75425Min: 60345 / Avg: 60395 / Max: 60425Min: 48520 / Avg: 48632 / Max: 48694Min: 55814 / Avg: 55862.67 / Max: 55954Min: 51182 / Avg: 52864.33 / Max: 541921. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Stream

This benchmark tests the system memory (RAM) performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterStream 2013-01-17Type: TriadEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R20K40K60K80K100KSE +/- 6.04, N = 5SE +/- 6.90, N = 5SE +/- 12.51, N = 5SE +/- 72.45, N = 5SE +/- 17.41, N = 5SE +/- 30.03, N = 5SE +/- 4.01, N = 5SE +/- 12.33, N = 5SE +/- 14.74, N = 5SE +/- 56.50, N = 5SE +/- 25.19, N = 5SE +/- 44.59, N = 5SE +/- 25.27, N = 5SE +/- 30.39, N = 5SE +/- 26.38, N = 5SE +/- 17.47, N = 5SE +/- 19.62, N = 5SE +/- 39.62, N = 5SE +/- 160.45, N = 5SE +/- 153.12, N = 556930.355554.488384.186874.087431.187264.687289.299680.887290.096936.099219.598556.198142.089542.3100472.496608.369885.461936.675793.879605.61. (CC) gcc options: -O3 -march=native -fopenmp
OpenBenchmarking.orgMB/s, More Is BetterStream 2013-01-17Type: TriadEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R20K40K60K80K100KMin: 56912.4 / Avg: 56930.26 / Max: 56947.5Min: 55541.4 / Avg: 55554.36 / Max: 55572.4Min: 88351.5 / Avg: 88384.12 / Max: 88427.6Min: 86636.8 / Avg: 86874.04 / Max: 87045.1Min: 87364.6 / Avg: 87431.12 / Max: 87463.3Min: 87180.8 / Avg: 87264.58 / Max: 87339.6Min: 87276 / Avg: 87289.18 / Max: 87301Min: 99646.9 / Avg: 99680.84 / Max: 99709.1Min: 87238.2 / Avg: 87289.96 / Max: 87329.8Min: 96848.4 / Avg: 96936.04 / Max: 97157.8Min: 99181.5 / Avg: 99219.46 / Max: 99317.5Min: 98388.6 / Avg: 98556.06 / Max: 98643.1Min: 98063.6 / Avg: 98142.04 / Max: 98195.6Min: 89428.4 / Avg: 89542.34 / Max: 89605.9Min: 100414.3 / Avg: 100472.42 / Max: 100561.7Min: 96567.9 / Avg: 96608.26 / Max: 96668.9Min: 69822.2 / Avg: 69885.38 / Max: 69940.5Min: 61878.1 / Avg: 61936.6 / Max: 62087.6Min: 75278 / Avg: 75793.82 / Max: 76153.9Min: 79257.4 / Avg: 79605.6 / Max: 80000.11. (CC) gcc options: -O3 -march=native -fopenmp

ctx_clock

Ctx_clock is a simple test program to measure the context switch time in clock cycles. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgClocks, Fewer Is Betterctx_clockContext Switch TimeEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R50100150200250SE +/- 1.64, N = 14SE +/- 2.60, N = 15SE +/- 2.09, N = 15SE +/- 0.67, N = 3SE +/- 0.67, N = 3217196180161168143150144174138141120120185175192136169122155
OpenBenchmarking.orgClocks, Fewer Is Betterctx_clockContext Switch TimeEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R4080120160200Min: 141 / Avg: 142.64 / Max: 164Min: 132 / Avg: 137.87 / Max: 154Min: 138 / Avg: 141.07 / Max: 161Min: 168 / Avg: 168.67 / Max: 170Min: 154 / Avg: 155.33 / Max: 156

RNNoise

RNNoise is a recurrent neural network for audio noise reduction developed by Mozilla and Xiph.Org. This test profile is a single-threaded test measuring the time to denoise a sample 26 minute long 16-bit RAW audio file using this recurrent neural network noise suppression library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R816243240SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 324.4024.3923.6324.8323.2923.3523.3123.7422.9623.6723.6523.6823.3920.1320.0521.1736.0130.8336.2328.541. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R816243240Min: 24.38 / Avg: 24.4 / Max: 24.42Min: 24.38 / Avg: 24.39 / Max: 24.41Min: 23.61 / Avg: 23.63 / Max: 23.66Min: 24.78 / Avg: 24.83 / Max: 24.86Min: 23.29 / Avg: 23.29 / Max: 23.29Min: 23.32 / Avg: 23.35 / Max: 23.4Min: 23.29 / Avg: 23.31 / Max: 23.33Min: 23.71 / Avg: 23.74 / Max: 23.79Min: 22.94 / Avg: 22.96 / Max: 22.97Min: 23.66 / Avg: 23.67 / Max: 23.68Min: 23.61 / Avg: 23.64 / Max: 23.67Min: 23.65 / Avg: 23.68 / Max: 23.73Min: 23.37 / Avg: 23.39 / Max: 23.44Min: 20.1 / Avg: 20.13 / Max: 20.16Min: 20.04 / Avg: 20.05 / Max: 20.08Min: 21.15 / Avg: 21.17 / Max: 21.18Min: 35.96 / Avg: 36.01 / Max: 36.03Min: 30.78 / Avg: 30.83 / Max: 30.87Min: 36.17 / Avg: 36.23 / Max: 36.31Min: 28.41 / Avg: 28.54 / Max: 28.611. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1224364860SE +/- 0.10, N = 3SE +/- 0.29, N = 3SE +/- 0.17, N = 3SE +/- 0.32, N = 3SE +/- 0.46, N = 3SE +/- 0.72, N = 13SE +/- 0.16, N = 3SE +/- 0.32, N = 3SE +/- 0.69, N = 5SE +/- 0.45, N = 3SE +/- 0.29, N = 3SE +/- 0.25, N = 3SE +/- 0.59, N = 3SE +/- 0.07, N = 3SE +/- 0.36, N = 3SE +/- 0.63, N = 4SE +/- 0.21, N = 3SE +/- 0.05, N = 3SE +/- 0.14, N = 3SE +/- 0.35, N = 1554.7451.6241.9349.8947.2253.5946.6244.7351.3743.4440.5537.6339.0943.8034.1943.0433.6647.7130.3332.81
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1122334455Min: 54.55 / Avg: 54.74 / Max: 54.9Min: 51.09 / Avg: 51.62 / Max: 52.07Min: 41.6 / Avg: 41.93 / Max: 42.12Min: 49.33 / Avg: 49.89 / Max: 50.44Min: 46.51 / Avg: 47.22 / Max: 48.09Min: 46.74 / Avg: 53.59 / Max: 57.7Min: 46.43 / Avg: 46.62 / Max: 46.93Min: 44.1 / Avg: 44.73 / Max: 45.17Min: 49.55 / Avg: 51.37 / Max: 53.43Min: 42.62 / Avg: 43.44 / Max: 44.16Min: 40.06 / Avg: 40.55 / Max: 41.07Min: 37.26 / Avg: 37.63 / Max: 38.09Min: 38.42 / Avg: 39.09 / Max: 40.26Min: 43.68 / Avg: 43.8 / Max: 43.92Min: 33.77 / Avg: 34.19 / Max: 34.92Min: 41.75 / Avg: 43.04 / Max: 44.74Min: 33.44 / Avg: 33.66 / Max: 34.09Min: 47.65 / Avg: 47.71 / Max: 47.81Min: 30.17 / Avg: 30.33 / Max: 30.62Min: 31.05 / Avg: 32.81 / Max: 34.88

Stream

This benchmark tests the system memory (RAM) performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterStream 2013-01-17Type: AddEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R20K40K60K80K100KSE +/- 4.03, N = 5SE +/- 8.29, N = 5SE +/- 12.35, N = 5SE +/- 95.95, N = 5SE +/- 18.59, N = 5SE +/- 29.22, N = 5SE +/- 15.47, N = 5SE +/- 18.47, N = 5SE +/- 16.43, N = 5SE +/- 31.32, N = 5SE +/- 26.54, N = 5SE +/- 27.85, N = 5SE +/- 145.28, N = 5SE +/- 17.48, N = 5SE +/- 27.65, N = 5SE +/- 14.97, N = 5SE +/- 21.29, N = 5SE +/- 44.25, N = 5SE +/- 158.56, N = 5SE +/- 160.52, N = 556973.555485.188008.986384.287137.386940.286951.198566.487010.896255.698124.197473.296867.489222.799400.295753.869756.461877.575641.679458.21. (CC) gcc options: -O3 -march=native -fopenmp
OpenBenchmarking.orgMB/s, More Is BetterStream 2013-01-17Type: AddEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R20K40K60K80K100KMin: 56958.2 / Avg: 56973.52 / Max: 56980.1Min: 55463.1 / Avg: 55485.12 / Max: 55514.5Min: 87976.2 / Avg: 88008.86 / Max: 88050.9Min: 86095.1 / Avg: 86384.16 / Max: 86677.1Min: 87066.9 / Avg: 87137.32 / Max: 87168.7Min: 86849.1 / Avg: 86940.18 / Max: 87029.3Min: 86894.1 / Avg: 86951.12 / Max: 86978.2Min: 98509.9 / Avg: 98566.42 / Max: 98618.9Min: 86947.4 / Avg: 87010.8 / Max: 87038.3Min: 96153.7 / Avg: 96255.6 / Max: 96319.3Min: 98047.4 / Avg: 98124.06 / Max: 98175.5Min: 97374.9 / Avg: 97473.24 / Max: 97525.9Min: 96350.6 / Avg: 96867.36 / Max: 97091.3Min: 89186 / Avg: 89222.66 / Max: 89285.6Min: 99329.3 / Avg: 99400.16 / Max: 99494.2Min: 95708.5 / Avg: 95753.82 / Max: 95792.3Min: 69686.3 / Avg: 69756.36 / Max: 69813.9Min: 61807.8 / Avg: 61877.46 / Max: 62044.4Min: 75140.9 / Avg: 75641.62 / Max: 75995.2Min: 79106.1 / Avg: 79458.18 / Max: 79837.61. (CC) gcc options: -O3 -march=native -fopenmp

OpenBenchmarking.orgMB/s, More Is BetterStream 2013-01-17Type: ScaleEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R20K40K60K80K100KSE +/- 17.43, N = 5SE +/- 12.22, N = 5SE +/- 33.32, N = 5SE +/- 107.49, N = 5SE +/- 20.95, N = 5SE +/- 34.50, N = 5SE +/- 35.41, N = 5SE +/- 19.39, N = 5SE +/- 22.40, N = 5SE +/- 33.78, N = 5SE +/- 51.61, N = 5SE +/- 50.29, N = 5SE +/- 88.18, N = 5SE +/- 60.32, N = 5SE +/- 97.97, N = 5SE +/- 8.10, N = 5SE +/- 34.68, N = 5SE +/- 29.14, N = 5SE +/- 128.46, N = 5SE +/- 115.88, N = 552916.051214.080191.978936.479498.278981.279087.590222.278989.787456.389250.488346.187987.881891.491285.987569.062183.256418.067347.370932.31. (CC) gcc options: -O3 -march=native -fopenmp
OpenBenchmarking.orgMB/s, More Is BetterStream 2013-01-17Type: ScaleEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R16K32K48K64K80KMin: 52874.9 / Avg: 52915.96 / Max: 52971.3Min: 51177 / Avg: 51214 / Max: 51245.7Min: 80111.8 / Avg: 80191.92 / Max: 80273.8Min: 78534.9 / Avg: 78936.38 / Max: 79176.1Min: 79424.4 / Avg: 79498.2 / Max: 79534.5Min: 78875.5 / Avg: 78981.18 / Max: 79054.8Min: 78996.2 / Avg: 79087.5 / Max: 79204.1Min: 90166.2 / Avg: 90222.16 / Max: 90277.7Min: 78922.8 / Avg: 78989.74 / Max: 79043.7Min: 87379.1 / Avg: 87456.34 / Max: 87579.8Min: 89101.9 / Avg: 89250.36 / Max: 89401Min: 88183.9 / Avg: 88346.14 / Max: 88465.3Min: 87752.7 / Avg: 87987.76 / Max: 88246.6Min: 81779.2 / Avg: 81891.38 / Max: 82097.4Min: 90897.7 / Avg: 91285.88 / Max: 91424Min: 87542.1 / Avg: 87569.02 / Max: 87590Min: 62131.5 / Avg: 62183.18 / Max: 62320.2Min: 56354.2 / Avg: 56417.96 / Max: 56501.3Min: 66948.2 / Avg: 67347.3 / Max: 67641.9Min: 70655.8 / Avg: 70932.26 / Max: 71253.71. (CC) gcc options: -O3 -march=native -fopenmp

VP9 libvpx Encoding

This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9/WebM format using a sample 1080p video. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 5EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R612182430SE +/- 0.12, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.16, N = 3SE +/- 0.08, N = 3SE +/- 0.18, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.11, N = 3SE +/- 0.23, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.19, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 318.1318.6818.9717.6518.7618.4418.7718.4018.8618.1218.4618.0718.2722.3322.9822.0412.9716.3914.5216.571. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11
OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 5EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R510152025Min: 18 / Avg: 18.13 / Max: 18.37Min: 18.6 / Avg: 18.68 / Max: 18.77Min: 18.84 / Avg: 18.97 / Max: 19.04Min: 17.62 / Avg: 17.65 / Max: 17.71Min: 18.6 / Avg: 18.76 / Max: 19.08Min: 18.28 / Avg: 18.44 / Max: 18.53Min: 18.47 / Avg: 18.77 / Max: 19.08Min: 18.31 / Avg: 18.4 / Max: 18.46Min: 18.67 / Avg: 18.86 / Max: 19.06Min: 18.09 / Avg: 18.12 / Max: 18.14Min: 18.41 / Avg: 18.46 / Max: 18.52Min: 17.9 / Avg: 18.07 / Max: 18.19Min: 18.08 / Avg: 18.27 / Max: 18.46Min: 21.98 / Avg: 22.33 / Max: 22.76Min: 22.8 / Avg: 22.98 / Max: 23.16Min: 21.97 / Avg: 22.04 / Max: 22.17Min: 12.94 / Avg: 12.97 / Max: 13.03Min: 16.05 / Avg: 16.39 / Max: 16.7Min: 14.43 / Avg: 14.52 / Max: 14.66Min: 16.53 / Avg: 16.57 / Max: 16.621. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11

Darmstadt Automotive Parallel Heterogeneous Suite

DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Points2ImageEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R5K10K15K20K25KSE +/- 118.88, N = 3SE +/- 217.91, N = 3SE +/- 240.93, N = 3SE +/- 239.42, N = 3SE +/- 159.08, N = 3SE +/- 259.43, N = 4SE +/- 142.85, N = 3SE +/- 72.02, N = 3SE +/- 280.35, N = 3SE +/- 221.68, N = 5SE +/- 43.29, N = 3SE +/- 280.41, N = 3SE +/- 122.79, N = 13SE +/- 110.61, N = 3SE +/- 319.14, N = 3SE +/- 187.50, N = 3SE +/- 157.82, N = 3SE +/- 101.52, N = 3SE +/- 84.56, N = 3SE +/- 77.54, N = 321863.9620819.9719739.7915123.6518249.3518480.8117798.9713145.4119075.0718207.4417395.2516873.4515257.5523233.0021582.8117666.5417360.0521138.6319332.3220105.771. (CXX) g++ options: -O3 -std=c++11 -fopenmp
OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Points2ImageEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R4K8K12K16K20KMin: 21744.25 / Avg: 21863.96 / Max: 22101.73Min: 20414.34 / Avg: 20819.97 / Max: 21160.81Min: 19334.26 / Avg: 19739.79 / Max: 20167.93Min: 14646.18 / Avg: 15123.65 / Max: 15393.69Min: 18085.74 / Avg: 18249.35 / Max: 18567.46Min: 17861.61 / Avg: 18480.81 / Max: 18982.48Min: 17553.05 / Avg: 17798.97 / Max: 18047.88Min: 13030.5 / Avg: 13145.41 / Max: 13278.1Min: 18515.2 / Avg: 19075.07 / Max: 19381.66Min: 17459.27 / Avg: 18207.44 / Max: 18715.49Min: 17319.17 / Avg: 17395.25 / Max: 17469.08Min: 16389.37 / Avg: 16873.45 / Max: 17360.71Min: 14565.09 / Avg: 15257.55 / Max: 16057.81Min: 23060.25 / Avg: 23233 / Max: 23439.06Min: 21033.37 / Avg: 21582.81 / Max: 22138.83Min: 17297.65 / Avg: 17666.54 / Max: 17909.38Min: 17056.79 / Avg: 17360.05 / Max: 17587.52Min: 20942.34 / Avg: 21138.63 / Max: 21281.73Min: 19177.17 / Avg: 19332.32 / Max: 19468.19Min: 19998.07 / Avg: 20105.77 / Max: 20256.241. (CXX) g++ options: -O3 -std=c++11 -fopenmp

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 CompileEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R20406080100SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.12, N = 3SE +/- 0.10, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 379.2258.6256.0454.6550.6449.8248.8449.5947.6247.2246.9546.1845.9663.4547.8645.8268.6280.7262.1158.12
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 7.4.2Time To CompileEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1530456075Min: 79.14 / Avg: 79.22 / Max: 79.35Min: 58.53 / Avg: 58.62 / Max: 58.68Min: 55.96 / Avg: 56.04 / Max: 56.12Min: 54.53 / Avg: 54.65 / Max: 54.82Min: 50.54 / Avg: 50.64 / Max: 50.72Min: 49.8 / Avg: 49.82 / Max: 49.86Min: 48.79 / Avg: 48.84 / Max: 48.9Min: 49.5 / Avg: 49.59 / Max: 49.74Min: 47.6 / Avg: 47.62 / Max: 47.65Min: 47.14 / Avg: 47.22 / Max: 47.29Min: 46.91 / Avg: 46.95 / Max: 47Min: 46.1 / Avg: 46.18 / Max: 46.3Min: 45.86 / Avg: 45.96 / Max: 46.04Min: 63.31 / Avg: 63.45 / Max: 63.6Min: 47.82 / Avg: 47.86 / Max: 47.88Min: 45.8 / Avg: 45.82 / Max: 45.84Min: 68.43 / Avg: 68.62 / Max: 68.85Min: 80.52 / Avg: 80.71 / Max: 80.84Min: 62.09 / Avg: 62.11 / Max: 62.14Min: 58.1 / Avg: 58.12 / Max: 58.16

OCRMyPDF

OCRMyPDF is an optical character recognition (OCR) text layer to scanned PDF files, producing new PDFs with the text now selectable/searchable/copy-paste capable. OCRMyPDF leverages the Tesseract OCR engine and is written in Python. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 10.3.1+dfsgProcessing 60 Page PDF DocumentEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R612182430SE +/- 0.14, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.16, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.16, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 326.4719.8118.9218.4816.9816.7916.2816.6515.8615.9215.8715.9116.1021.4516.1315.4422.9927.0520.6518.99
OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 10.3.1+dfsgProcessing 60 Page PDF DocumentEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R612182430Min: 26.32 / Avg: 26.47 / Max: 26.75Min: 19.75 / Avg: 19.81 / Max: 19.86Min: 18.88 / Avg: 18.92 / Max: 18.95Min: 18.4 / Avg: 18.48 / Max: 18.57Min: 16.83 / Avg: 16.98 / Max: 17.08Min: 16.72 / Avg: 16.79 / Max: 16.88Min: 16.15 / Avg: 16.28 / Max: 16.44Min: 16.55 / Avg: 16.65 / Max: 16.77Min: 15.72 / Avg: 15.86 / Max: 16.06Min: 15.62 / Avg: 15.92 / Max: 16.18Min: 15.77 / Avg: 15.87 / Max: 15.96Min: 15.78 / Avg: 15.91 / Max: 16.06Min: 15.99 / Avg: 16.1 / Max: 16.31Min: 21.38 / Avg: 21.45 / Max: 21.59Min: 15.95 / Avg: 16.13 / Max: 16.32Min: 15.31 / Avg: 15.44 / Max: 15.53Min: 22.9 / Avg: 22.99 / Max: 23.08Min: 26.84 / Avg: 27.05 / Max: 27.37Min: 20.58 / Avg: 20.65 / Max: 20.75Min: 18.8 / Avg: 18.99 / Max: 19.14

FFmpeg

This test uses FFmpeg for testing the system's audio/video encoding performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 4.0.2H.264 HD To NTSC DVEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215SE +/- 0.037, N = 3SE +/- 0.041, N = 3SE +/- 0.034, N = 3SE +/- 0.080, N = 3SE +/- 0.012, N = 3SE +/- 0.029, N = 3SE +/- 0.060, N = 3SE +/- 0.101, N = 3SE +/- 0.091, N = 3SE +/- 0.049, N = 3SE +/- 0.014, N = 3SE +/- 0.025, N = 3SE +/- 0.030, N = 3SE +/- 0.054, N = 3SE +/- 0.120, N = 3SE +/- 0.028, N = 39.2919.2509.0519.6929.4269.5719.50410.0269.2957.6037.1827.33112.3999.88310.9339.8921. (CC) gcc options: -lavdevice -lavfilter -lavformat -lavcodec -lswresample -lswscale -lavutil -lm -lxcb -lasound -pthread -lbz2 -llzma -std=c11 -fomit-frame-pointer -fPIC -O3 -fno-math-errno -fno-signed-zeros -fno-tree-vectorize -MMD -MF -MT
OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 4.0.2H.264 HD To NTSC DVEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R48121620Min: 9.23 / Avg: 9.29 / Max: 9.36Min: 9.2 / Avg: 9.25 / Max: 9.33Min: 9 / Avg: 9.05 / Max: 9.12Min: 9.54 / Avg: 9.69 / Max: 9.8Min: 9.41 / Avg: 9.43 / Max: 9.45Min: 9.52 / Avg: 9.57 / Max: 9.62Min: 9.39 / Avg: 9.5 / Max: 9.57Min: 9.83 / Avg: 10.03 / Max: 10.16Min: 9.13 / Avg: 9.29 / Max: 9.45Min: 7.52 / Avg: 7.6 / Max: 7.69Min: 7.16 / Avg: 7.18 / Max: 7.21Min: 7.3 / Avg: 7.33 / Max: 7.38Min: 12.34 / Avg: 12.4 / Max: 12.43Min: 9.8 / Avg: 9.88 / Max: 9.98Min: 10.81 / Avg: 10.93 / Max: 11.17Min: 9.85 / Avg: 9.89 / Max: 9.941. (CC) gcc options: -lavdevice -lavfilter -lavformat -lavcodec -lswresample -lswscale -lavutil -lm -lxcb -lasound -pthread -lbz2 -llzma -std=c11 -fomit-frame-pointer -fPIC -O3 -fno-math-errno -fno-signed-zeros -fno-tree-vectorize -MMD -MF -MT

LibRaw

LibRaw is a RAW image decoder for digital camera photos. This test profile runs LibRaw's post-processing benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R816243240SE +/- 0.35, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.16, N = 3SE +/- 0.04, N = 3SE +/- 0.22, N = 3SE +/- 0.32, N = 3SE +/- 0.23, N = 3SE +/- 0.03, N = 3SE +/- 0.17, N = 3SE +/- 0.09, N = 3SE +/- 0.24, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 329.2031.1632.1830.0932.3132.1232.8031.3432.6831.6331.2532.7032.8732.8636.5735.1721.2224.6425.2425.691. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R816243240Min: 28.59 / Avg: 29.2 / Max: 29.79Min: 31.08 / Avg: 31.16 / Max: 31.2Min: 32.16 / Avg: 32.18 / Max: 32.19Min: 29.97 / Avg: 30.09 / Max: 30.17Min: 32.25 / Avg: 32.31 / Max: 32.38Min: 31.84 / Avg: 32.12 / Max: 32.39Min: 32.75 / Avg: 32.8 / Max: 32.88Min: 30.9 / Avg: 31.34 / Max: 31.56Min: 32.06 / Avg: 32.68 / Max: 33.09Min: 31.19 / Avg: 31.63 / Max: 31.98Min: 31.21 / Avg: 31.25 / Max: 31.31Min: 32.38 / Avg: 32.7 / Max: 32.95Min: 32.7 / Avg: 32.87 / Max: 32.97Min: 32.38 / Avg: 32.86 / Max: 33.16Min: 36.4 / Avg: 36.57 / Max: 36.67Min: 35.13 / Avg: 35.17 / Max: 35.25Min: 21.18 / Avg: 21.22 / Max: 21.24Min: 24.56 / Avg: 24.64 / Max: 24.74Min: 25.15 / Avg: 25.24 / Max: 25.28Min: 25.62 / Avg: 25.69 / Max: 25.781. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R50K100K150K200K250KSE +/- 257.35, N = 3SE +/- 267.63, N = 3SE +/- 69.83, N = 3SE +/- 2045.88, N = 3SE +/- 127.33, N = 3SE +/- 206.99, N = 3SE +/- 129.37, N = 3SE +/- 957.14, N = 3SE +/- 380.24, N = 3SE +/- 3084.79, N = 12SE +/- 2682.21, N = 12SE +/- 489.67, N = 3SE +/- 83.95, N = 3SE +/- 330.74, N = 3SE +/- 329.04, N = 3SE +/- 1306.16, N = 3SE +/- 129.85, N = 3SE +/- 38.21, N = 3SE +/- 2086.67, N = 4SE +/- 171.00, N = 31845091853081830272096001857762134752034372189841955901657861775491616791628451678101724941846371676801279301555381355331. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R40K80K120K160K200KMin: 184055 / Avg: 184509 / Max: 184946Min: 184775 / Avg: 185308 / Max: 185617Min: 182924 / Avg: 183026.67 / Max: 183160Min: 207151 / Avg: 209599.67 / Max: 213663Min: 185553 / Avg: 185776 / Max: 185994Min: 213201 / Avg: 213475.33 / Max: 213881Min: 203278 / Avg: 203436.67 / Max: 203693Min: 217558 / Avg: 218984 / Max: 220803Min: 195038 / Avg: 195590 / Max: 196319Min: 155868 / Avg: 165785.58 / Max: 190504Min: 157259 / Avg: 177549 / Max: 190775Min: 160807 / Avg: 161679.33 / Max: 162501Min: 162677 / Avg: 162844.67 / Max: 162936Min: 167261 / Avg: 167809.67 / Max: 168404Min: 171844 / Avg: 172494 / Max: 172908Min: 182918 / Avg: 184637 / Max: 187200Min: 167463 / Avg: 167679.67 / Max: 167912Min: 127859 / Avg: 127930 / Max: 127990Min: 153083 / Avg: 155538.25 / Max: 161782Min: 135231 / Avg: 135533 / Max: 1358231. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Botan

Botan is a cross-platform open-source C++ crypto library that supports most all publicly known cryptographic algorithms. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: AES-256EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R11002200330044005500SE +/- 0.40, N = 3SE +/- 0.46, N = 3SE +/- 0.37, N = 3SE +/- 4.52, N = 3SE +/- 0.72, N = 3SE +/- 0.49, N = 3SE +/- 0.43, N = 3SE +/- 0.73, N = 3SE +/- 0.70, N = 3SE +/- 7.30, N = 3SE +/- 0.50, N = 3SE +/- 1.01, N = 3SE +/- 3.59, N = 3SE +/- 11.63, N = 3SE +/- 0.17, N = 3SE +/- 0.45, N = 3SE +/- 4.64, N = 3SE +/- 1.19, N = 3SE +/- 32.36, N = 3SE +/- 1.16, N = 34273.084272.704406.414195.414472.734472.154472.134405.464538.404397.194405.754403.814458.225165.055205.654938.523060.033547.253691.483730.271. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: AES-256EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R9001800270036004500Min: 4272.36 / Avg: 4273.08 / Max: 4273.74Min: 4271.85 / Avg: 4272.7 / Max: 4273.41Min: 4405.81 / Avg: 4406.41 / Max: 4407.1Min: 4186.38 / Avg: 4195.41 / Max: 4200.32Min: 4471.91 / Avg: 4472.73 / Max: 4474.16Min: 4471.19 / Avg: 4472.15 / Max: 4472.78Min: 4471.27 / Avg: 4472.13 / Max: 4472.64Min: 4404.07 / Avg: 4405.46 / Max: 4406.52Min: 4537.09 / Avg: 4538.4 / Max: 4539.48Min: 4382.74 / Avg: 4397.19 / Max: 4406.2Min: 4404.93 / Avg: 4405.75 / Max: 4406.67Min: 4401.81 / Avg: 4403.81 / Max: 4405.07Min: 4454.33 / Avg: 4458.22 / Max: 4465.38Min: 5141.81 / Avg: 5165.05 / Max: 5177.6Min: 5205.31 / Avg: 5205.65 / Max: 5205.87Min: 4937.84 / Avg: 4938.52 / Max: 4939.37Min: 3052.34 / Avg: 3060.03 / Max: 3068.37Min: 3545.04 / Avg: 3547.25 / Max: 3549.09Min: 3626.84 / Avg: 3691.48 / Max: 3726.52Min: 3728.03 / Avg: 3730.27 / Max: 3731.911. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

x265

This is a simple test of the x265 encoder run on the CPU with a sample 1080p video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.1.2H.265 1080p Video EncodingEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1428425670SE +/- 0.04, N = 3SE +/- 0.19, N = 3SE +/- 0.14, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.16, N = 3SE +/- 0.21, N = 3SE +/- 0.20, N = 3SE +/- 0.17, N = 3SE +/- 0.20, N = 3SE +/- 0.20, N = 3SE +/- 0.19, N = 3SE +/- 0.27, N = 3SE +/- 0.15, N = 3SE +/- 0.22, N = 3SE +/- 0.12, N = 3SE +/- 0.25, N = 3SE +/- 0.09, N = 3SE +/- 0.26, N = 338.5949.3850.2546.4951.0748.9049.5348.4052.5048.8148.9747.7647.3647.1261.9661.6936.7437.8841.8949.031. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.1.2H.265 1080p Video EncodingEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1224364860Min: 38.52 / Avg: 38.59 / Max: 38.66Min: 49.02 / Avg: 49.38 / Max: 49.67Min: 50.1 / Avg: 50.25 / Max: 50.53Min: 46.36 / Avg: 46.49 / Max: 46.6Min: 51 / Avg: 51.07 / Max: 51.18Min: 48.74 / Avg: 48.9 / Max: 49.08Min: 49.3 / Avg: 49.53 / Max: 49.85Min: 48.01 / Avg: 48.4 / Max: 48.72Min: 52.25 / Avg: 52.5 / Max: 52.9Min: 48.52 / Avg: 48.81 / Max: 49.11Min: 48.6 / Avg: 48.97 / Max: 49.3Min: 47.4 / Avg: 47.76 / Max: 48.09Min: 47.1 / Avg: 47.36 / Max: 47.72Min: 46.64 / Avg: 47.12 / Max: 47.59Min: 61.73 / Avg: 61.96 / Max: 62.25Min: 61.33 / Avg: 61.69 / Max: 62.09Min: 36.57 / Avg: 36.74 / Max: 36.96Min: 37.38 / Avg: 37.88 / Max: 38.15Min: 41.74 / Avg: 41.89 / Max: 42.06Min: 48.56 / Avg: 49.03 / Max: 49.451. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R90K180K270K360K450KSE +/- 1246.76, N = 3SE +/- 357.06, N = 3SE +/- 2314.26, N = 3SE +/- 904.07, N = 3SE +/- 687.60, N = 3SE +/- 583.08, N = 3SE +/- 403.57, N = 3SE +/- 1305.38, N = 3SE +/- 227.82, N = 3SE +/- 4952.89, N = 3SE +/- 7856.58, N = 9SE +/- 339.60, N = 3SE +/- 509.80, N = 3SE +/- 510.20, N = 3SE +/- 434.25, N = 3SE +/- 688.36, N = 3SE +/- 231.17, N = 3SE +/- 2317.07, N = 3SE +/- 194.73, N = 3SE +/- 244.45, N = 33683023708703687244284173713384280344079844386313905153175603584003231693249513365293455223707623362742603673068562700571. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R80K160K240K320K400KMin: 365859 / Avg: 368302 / Max: 369956Min: 370484 / Avg: 370869.67 / Max: 371583Min: 366319 / Avg: 368723.67 / Max: 373351Min: 427168 / Avg: 428417.33 / Max: 430174Min: 369969 / Avg: 371337.67 / Max: 372138Min: 427137 / Avg: 428034.33 / Max: 429128Min: 407286 / Avg: 407984.33 / Max: 408684Min: 436538 / Avg: 438631 / Max: 441029Min: 390095 / Avg: 390515 / Max: 390878Min: 311387 / Avg: 317560.33 / Max: 327356Min: 335480 / Avg: 358400 / Max: 395035Min: 322554 / Avg: 323169.33 / Max: 323726Min: 324015 / Avg: 324951.33 / Max: 325769Min: 335826 / Avg: 336529 / Max: 337521Min: 344906 / Avg: 345521.67 / Max: 346360Min: 369781 / Avg: 370762 / Max: 372089Min: 336022 / Avg: 336274.33 / Max: 336736Min: 255859 / Avg: 260367 / Max: 263551Min: 306614 / Avg: 306855.67 / Max: 307241Min: 269593 / Avg: 270057.33 / Max: 2704221. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

AI Benchmark Alpha

AI Benchmark Alpha is a Python library for evaluating artificial intelligence (AI) performance on diverse hardware platforms and relies upon the TensorFlow machine learning library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI ScoreEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R700140021002800350019942673277129173084311431773045326131243154302029052220301232702214197926863333

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: HWB Color SpaceEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R30060090012001500SE +/- 0.67, N = 3SE +/- 1.86, N = 3SE +/- 4.37, N = 3SE +/- 2.89, N = 3SE +/- 5.51, N = 3SE +/- 1.53, N = 3SE +/- 7.84, N = 3SE +/- 3.06, N = 3SE +/- 6.08, N = 3SE +/- 3.51, N = 3SE +/- 1.73, N = 3SE +/- 0.88, N = 3SE +/- 6.36, N = 3SE +/- 0.88, N = 3SE +/- 1.73, N = 3SE +/- 2.33, N = 3831104511401002115011651264111112041139117712111138897111211428137558909351. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: HWB Color SpaceEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R2004006008001000Min: 1044 / Avg: 1044.67 / Max: 1046Min: 1136 / Avg: 1139.67 / Max: 1142Min: 1156 / Avg: 1164.67 / Max: 1170Min: 1259 / Avg: 1264 / Max: 1269Min: 1101 / Avg: 1111 / Max: 1120Min: 1202 / Avg: 1204 / Max: 1207Min: 1131 / Avg: 1139.33 / Max: 1155Min: 1171 / Avg: 1177 / Max: 1181Min: 1200 / Avg: 1211 / Max: 1221Min: 1131 / Avg: 1138 / Max: 1142Min: 894 / Avg: 897 / Max: 900Min: 1110 / Avg: 1111.67 / Max: 1113Min: 1129 / Avg: 1141.67 / Max: 1149Min: 811 / Avg: 812.67 / Max: 814Min: 752 / Avg: 755 / Max: 758Min: 886 / Avg: 889.67 / Max: 8941. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R510152025SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 315.4915.2916.8016.1515.8915.0414.8916.0214.8714.7914.8115.2814.8513.3712.4211.2418.7214.4316.3815.341. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R510152025Min: 15.38 / Avg: 15.49 / Max: 15.55Min: 15.28 / Avg: 15.29 / Max: 15.3Min: 16.74 / Avg: 16.8 / Max: 16.86Min: 16.1 / Avg: 16.15 / Max: 16.17Min: 15.84 / Avg: 15.89 / Max: 15.98Min: 14.95 / Avg: 15.04 / Max: 15.1Min: 14.81 / Avg: 14.89 / Max: 15Min: 15.91 / Avg: 16.02 / Max: 16.14Min: 14.83 / Avg: 14.87 / Max: 14.9Min: 14.77 / Avg: 14.79 / Max: 14.81Min: 14.8 / Avg: 14.81 / Max: 14.83Min: 15.2 / Avg: 15.28 / Max: 15.33Min: 14.76 / Avg: 14.85 / Max: 14.97Min: 13.31 / Avg: 13.37 / Max: 13.42Min: 12.37 / Avg: 12.41 / Max: 12.44Min: 11.24 / Avg: 11.24 / Max: 11.25Min: 18.61 / Avg: 18.72 / Max: 18.88Min: 14.33 / Avg: 14.43 / Max: 14.51Min: 16.32 / Avg: 16.38 / Max: 16.44Min: 15.26 / Avg: 15.34 / Max: 15.391. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read WriteEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R10002000300040005000SE +/- 11.57, N = 3SE +/- 1.63, N = 3SE +/- 6.14, N = 3SE +/- 4.65, N = 3SE +/- 8.90, N = 3SE +/- 10.25, N = 3SE +/- 12.34, N = 3SE +/- 13.12, N = 3SE +/- 4.85, N = 3SE +/- 2.04, N = 3SE +/- 2.06, N = 3SE +/- 9.37, N = 3SE +/- 14.10, N = 3SE +/- 9.36, N = 3SE +/- 7.15, N = 3SE +/- 1.31, N = 3SE +/- 11.76, N = 3SE +/- 12.86, N = 3SE +/- 6.10, N = 3SE +/- 8.73, N = 3323032722977309831473327335831233364338233773273336837414029444926723466305332611. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read WriteEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R8001600240032004000Min: 3216.88 / Avg: 3229.71 / Max: 3252.81Min: 3268.78 / Avg: 3271.87 / Max: 3274.31Min: 2967.51 / Avg: 2977.32 / Max: 2988.61Min: 3093.05 / Avg: 3098.13 / Max: 3107.42Min: 3129.71 / Avg: 3147.27 / Max: 3158.56Min: 3313.45 / Avg: 3326.77 / Max: 3346.92Min: 3335.68 / Avg: 3358.5 / Max: 3378.07Min: 3098.75 / Avg: 3122.83 / Max: 3143.89Min: 3356.73 / Avg: 3364.45 / Max: 3373.4Min: 3378.64 / Avg: 3382.28 / Max: 3385.69Min: 3373.11 / Avg: 3376.68 / Max: 3380.25Min: 3262.47 / Avg: 3273.27 / Max: 3291.93Min: 3341.38 / Avg: 3367.51 / Max: 3389.77Min: 3725.9 / Avg: 3740.97 / Max: 3758.14Min: 4020.68 / Avg: 4028.65 / Max: 4042.93Min: 4446.99 / Avg: 4449.47 / Max: 4451.42Min: 2649.06 / Avg: 2671.94 / Max: 2688.12Min: 3445.69 / Avg: 3465.96 / Max: 3489.81Min: 3043.13 / Avg: 3052.83 / Max: 3064.08Min: 3251 / Avg: 3260.91 / Max: 3278.321. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

Timed GDB GNU Debugger Compilation

This test times how long it takes to build the GNU Debugger (GDB) in a default configuration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Time To CompileEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R306090120150SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.04, N = 3SE +/- 0.18, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.15, N = 3143.40121.55119.58120.96114.29116.60114.78116.10112.62115.39115.32115.71115.83111.2695.5193.92155.80145.54139.37122.89
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Time To CompileEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R306090120150Min: 143.24 / Avg: 143.4 / Max: 143.52Min: 121.53 / Avg: 121.54 / Max: 121.58Min: 119.53 / Avg: 119.58 / Max: 119.63Min: 120.77 / Avg: 120.96 / Max: 121.17Min: 114.18 / Avg: 114.29 / Max: 114.34Min: 116.42 / Avg: 116.6 / Max: 116.8Min: 114.74 / Avg: 114.78 / Max: 114.82Min: 115.98 / Avg: 116.1 / Max: 116.19Min: 112.54 / Avg: 112.62 / Max: 112.69Min: 115.28 / Avg: 115.39 / Max: 115.49Min: 115.1 / Avg: 115.32 / Max: 115.53Min: 115.66 / Avg: 115.71 / Max: 115.79Min: 115.47 / Avg: 115.83 / Max: 116.05Min: 111.16 / Avg: 111.26 / Max: 111.36Min: 95.39 / Avg: 95.51 / Max: 95.63Min: 93.85 / Avg: 93.92 / Max: 94.02Min: 155.75 / Avg: 155.8 / Max: 155.91Min: 145.51 / Avg: 145.54 / Max: 145.58Min: 139.24 / Avg: 139.37 / Max: 139.45Min: 122.59 / Avg: 122.89 / Max: 123.07

C-Blosc

A simple, compressed, fast and persistent data store library for C. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.0 Beta 5Compressor: blosclzEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R2K4K6K8K10KSE +/- 9.98, N = 3SE +/- 22.62, N = 3SE +/- 74.06, N = 3SE +/- 59.36, N = 3SE +/- 75.43, N = 3SE +/- 67.10, N = 3SE +/- 51.03, N = 3SE +/- 67.32, N = 3SE +/- 45.72, N = 3SE +/- 49.67, N = 3SE +/- 69.06, N = 3SE +/- 38.94, N = 3SE +/- 55.27, N = 3SE +/- 56.43, N = 3SE +/- 84.62, N = 3SE +/- 63.84, N = 3SE +/- 23.54, N = 3SE +/- 55.26, N = 3SE +/- 36.56, N = 3SE +/- 86.93, N = 39011.88883.69507.98470.38962.68193.88367.08415.78456.87149.77229.56361.26319.410244.210471.39851.86639.97334.67173.37294.41. (CXX) g++ options: -rdynamic
OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.0 Beta 5Compressor: blosclzEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R2K4K6K8K10KMin: 8991.8 / Avg: 9011.77 / Max: 9021.9Min: 8858.7 / Avg: 8883.63 / Max: 8928.8Min: 9415.7 / Avg: 9507.9 / Max: 9654.4Min: 8388.4 / Avg: 8470.33 / Max: 8585.7Min: 8857.8 / Avg: 8962.63 / Max: 9109Min: 8080 / Avg: 8193.77 / Max: 8312.3Min: 8286.7 / Avg: 8366.97 / Max: 8461.7Min: 8327.9 / Avg: 8415.7 / Max: 8548Min: 8399.3 / Avg: 8456.77 / Max: 8547.1Min: 7055.1 / Avg: 7149.67 / Max: 7223.3Min: 7104.2 / Avg: 7229.47 / Max: 7342.5Min: 6314.4 / Avg: 6361.2 / Max: 6438.5Min: 6256.4 / Avg: 6319.43 / Max: 6429.6Min: 10164 / Avg: 10244.23 / Max: 10353.1Min: 10350.7 / Avg: 10471.27 / Max: 10634.4Min: 9769.2 / Avg: 9851.77 / Max: 9977.4Min: 6595 / Avg: 6639.93 / Max: 6674.6Min: 7232.5 / Avg: 7334.6 / Max: 7422.3Min: 7120.7 / Avg: 7173.33 / Max: 7243.6Min: 7125.7 / Avg: 7294.37 / Max: 7415.21. (CXX) g++ options: -rdynamic

XZ Compression

This test measures the time needed to compress a sample file (an Ubuntu file-system image) using XZ compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterXZ Compression 5.2.4Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R816243240SE +/- 0.10, N = 3SE +/- 0.12, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.14, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.12, N = 3SE +/- 0.24, N = 3SE +/- 0.27, N = 3SE +/- 0.16, N = 334.9524.4922.9923.5422.5022.6222.5622.4422.4522.5221.8921.8422.0930.4621.1221.7124.5731.1923.8121.301. (CC) gcc options: -pthread -fvisibility=hidden -O2
OpenBenchmarking.orgSeconds, Fewer Is BetterXZ Compression 5.2.4Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R714212835Min: 34.83 / Avg: 34.95 / Max: 35.15Min: 24.37 / Avg: 24.49 / Max: 24.73Min: 22.8 / Avg: 22.99 / Max: 23.09Min: 23.46 / Avg: 23.54 / Max: 23.67Min: 22.46 / Avg: 22.5 / Max: 22.57Min: 22.57 / Avg: 22.62 / Max: 22.72Min: 22.52 / Avg: 22.56 / Max: 22.59Min: 22.27 / Avg: 22.44 / Max: 22.73Min: 22.36 / Avg: 22.45 / Max: 22.59Min: 22.4 / Avg: 22.52 / Max: 22.67Min: 21.8 / Avg: 21.89 / Max: 22.01Min: 21.78 / Avg: 21.84 / Max: 21.91Min: 21.93 / Avg: 22.09 / Max: 22.28Min: 30.32 / Avg: 30.46 / Max: 30.59Min: 20.98 / Avg: 21.12 / Max: 21.25Min: 21.62 / Avg: 21.71 / Max: 21.87Min: 24.44 / Avg: 24.57 / Max: 24.82Min: 30.93 / Avg: 31.19 / Max: 31.68Min: 23.51 / Avg: 23.81 / Max: 24.35Min: 21.01 / Avg: 21.3 / Max: 21.571. (CC) gcc options: -pthread -fvisibility=hidden -O2

LULESH

LULESH is the Livermore Unstructured Lagrangian Explicit Shock Hydrodynamics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215SE +/- 0.1578188, N = 3SE +/- 0.0043546, N = 3SE +/- 0.0059694, N = 3SE +/- 0.0031335, N = 3SE +/- 0.0002745, N = 3SE +/- 0.0003677, N = 3SE +/- 0.0018526, N = 3SE +/- 0.0009813, N = 3SE +/- 0.0005818, N = 3SE +/- 0.0010920, N = 3SE +/- 0.0011629, N = 3SE +/- 0.0033424, N = 3SE +/- 0.0024663, N = 3SE +/- 0.0121655, N = 3SE +/- 0.0017475, N = 3SE +/- 0.0065112, N = 3SE +/- 0.0045218, N = 3SE +/- 0.0059264, N = 3SE +/- 0.0041591, N = 3SE +/- 0.0045637, N = 311.83148007.70219427.90712737.15886237.82000747.53213927.69376967.58759787.73845787.36835327.42290737.51649947.47616669.59298399.21303468.62215708.550546511.12329408.848058411.15571801. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215Min: 11.56 / Avg: 11.83 / Max: 12.1Min: 7.7 / Avg: 7.7 / Max: 7.71Min: 7.9 / Avg: 7.91 / Max: 7.92Min: 7.15 / Avg: 7.16 / Max: 7.16Min: 7.82 / Avg: 7.82 / Max: 7.82Min: 7.53 / Avg: 7.53 / Max: 7.53Min: 7.69 / Avg: 7.69 / Max: 7.7Min: 7.59 / Avg: 7.59 / Max: 7.59Min: 7.74 / Avg: 7.74 / Max: 7.74Min: 7.37 / Avg: 7.37 / Max: 7.37Min: 7.42 / Avg: 7.42 / Max: 7.43Min: 7.51 / Avg: 7.52 / Max: 7.52Min: 7.47 / Avg: 7.48 / Max: 7.48Min: 9.57 / Avg: 9.59 / Max: 9.62Min: 9.21 / Avg: 9.21 / Max: 9.22Min: 8.62 / Avg: 8.62 / Max: 8.64Min: 8.55 / Avg: 8.55 / Max: 8.56Min: 11.11 / Avg: 11.12 / Max: 11.13Min: 8.84 / Avg: 8.85 / Max: 8.86Min: 11.15 / Avg: 11.16 / Max: 11.161. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi

Himeno Benchmark

The Himeno benchmark is a linear solver of pressure Poisson using a point-Jacobi method. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R10002000300040005000SE +/- 59.72, N = 3SE +/- 17.16, N = 3SE +/- 28.74, N = 3SE +/- 41.76, N = 5SE +/- 26.53, N = 3SE +/- 63.25, N = 3SE +/- 22.02, N = 3SE +/- 37.40, N = 3SE +/- 62.71, N = 3SE +/- 46.38, N = 15SE +/- 62.88, N = 13SE +/- 39.43, N = 3SE +/- 56.97, N = 15SE +/- 46.79, N = 5SE +/- 47.65, N = 3SE +/- 42.67, N = 15SE +/- 1.03, N = 3SE +/- 1.38, N = 3SE +/- 4.25, N = 3SE +/- 2.35, N = 33688.593726.023927.113386.623868.683881.513971.303451.283917.153760.373740.513882.013700.303976.824470.494212.782726.963076.173303.523309.281. (CC) gcc options: -O3 -mavx2
OpenBenchmarking.orgMFLOPS, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R8001600240032004000Min: 3570.78 / Avg: 3688.59 / Max: 3764.52Min: 3693 / Avg: 3726.02 / Max: 3750.66Min: 3869.82 / Avg: 3927.11 / Max: 3959.84Min: 3300.1 / Avg: 3386.62 / Max: 3537.19Min: 3834.8 / Avg: 3868.68 / Max: 3920.99Min: 3763.86 / Avg: 3881.51 / Max: 3980.62Min: 3927.26 / Avg: 3971.3 / Max: 3993.41Min: 3381.62 / Avg: 3451.28 / Max: 3509.7Min: 3799.52 / Avg: 3917.15 / Max: 4013.65Min: 3248.17 / Avg: 3760.37 / Max: 3959.03Min: 3086.64 / Avg: 3740.51 / Max: 3933.23Min: 3818.26 / Avg: 3882.01 / Max: 3954.08Min: 3308.25 / Avg: 3700.3 / Max: 4010.2Min: 3868.41 / Avg: 3976.82 / Max: 4100.49Min: 4412.42 / Avg: 4470.49 / Max: 4564.96Min: 3740.22 / Avg: 4212.78 / Max: 4364.86Min: 2724.95 / Avg: 2726.96 / Max: 2728.31Min: 3074.07 / Avg: 3076.17 / Max: 3078.77Min: 3295.06 / Avg: 3303.52 / Max: 3308.54Min: 3304.63 / Avg: 3309.28 / Max: 3312.271. (CC) gcc options: -O3 -mavx2

FFTW

FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 4096EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R4K8K12K16K20KSE +/- 151.54, N = 3SE +/- 77.59, N = 3SE +/- 171.42, N = 6SE +/- 65.28, N = 3SE +/- 39.40, N = 3SE +/- 94.50, N = 3SE +/- 86.33, N = 3SE +/- 71.08, N = 3SE +/- 39.21, N = 3SE +/- 115.47, N = 3SE +/- 104.33, N = 3SE +/- 238.37, N = 3SE +/- 224.88, N = 3SE +/- 77.56, N = 3SE +/- 30.07, N = 3SE +/- 185.62, N = 8SE +/- 134.80, N = 9SE +/- 107.74, N = 3SE +/- 16.33, N = 3SE +/- 204.03, N = 314210146081475114443149791506014985147091518714955144961494514749157911601717858109051193711838142171. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 4096EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3K6K9K12K15KMin: 13997 / Avg: 14209.67 / Max: 14503Min: 14524 / Avg: 14608 / Max: 14763Min: 13908 / Avg: 14751.17 / Max: 15000Min: 14319 / Avg: 14443.33 / Max: 14540Min: 14904 / Avg: 14979.33 / Max: 15037Min: 14874 / Avg: 15060 / Max: 15182Min: 14886 / Avg: 14985 / Max: 15157Min: 14589 / Avg: 14709 / Max: 14835Min: 15109 / Avg: 15187 / Max: 15233Min: 14780 / Avg: 14955 / Max: 15173Min: 14336 / Avg: 14496 / Max: 14692Min: 14469 / Avg: 14945 / Max: 15206Min: 14396 / Avg: 14749.33 / Max: 15167Min: 15637 / Avg: 15791.33 / Max: 15882Min: 15963 / Avg: 16016.67 / Max: 16067Min: 16971 / Avg: 17858.25 / Max: 18417Min: 10400 / Avg: 10905 / Max: 11460Min: 11722 / Avg: 11937.33 / Max: 12052Min: 11814 / Avg: 11837.67 / Max: 11869Min: 13992 / Avg: 14216.67 / Max: 146241. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

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 0.2.3Target: CPU - Model: SqueezeNet v1.1EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R90180270360450SE +/- 0.16, N = 3SE +/- 0.05, N = 3SE +/- 0.29, N = 3SE +/- 0.46, N = 3SE +/- 0.14, N = 3SE +/- 0.14, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.18, N = 3SE +/- 0.05, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.09, N = 3SE +/- 0.20, N = 3SE +/- 0.20, N = 3SE +/- 0.23, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.38, N = 3319.96317.09309.77323.49303.36303.50303.53308.21299.07307.88309.42308.03304.61262.37261.64276.20420.31363.45344.96357.941. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R70140210280350Min: 319.64 / Avg: 319.96 / Max: 320.15Min: 317.03 / Avg: 317.09 / Max: 317.19Min: 309.24 / Avg: 309.77 / Max: 310.24Min: 322.66 / Avg: 323.49 / Max: 324.24Min: 303.21 / Avg: 303.36 / Max: 303.64Min: 303.26 / Avg: 303.5 / Max: 303.75Min: 303.41 / Avg: 303.53 / Max: 303.69Min: 308.08 / Avg: 308.21 / Max: 308.37Min: 298.75 / Avg: 299.07 / Max: 299.36Min: 307.77 / Avg: 307.88 / Max: 307.95Min: 309.2 / Avg: 309.42 / Max: 309.6Min: 307.98 / Avg: 308.03 / Max: 308.08Min: 304.4 / Avg: 304.61 / Max: 304.79Min: 262.2 / Avg: 262.37 / Max: 262.49Min: 261.36 / Avg: 261.64 / Max: 262.03Min: 275.8 / Avg: 276.2 / Max: 276.46Min: 419.95 / Avg: 420.31 / Max: 420.75Min: 363.37 / Avg: 363.45 / Max: 363.57Min: 344.8 / Avg: 344.96 / Max: 345.1Min: 357.29 / Avg: 357.94 / Max: 358.591. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

x265

This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080pEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F521326395265SE +/- 0.22, N = 3SE +/- 0.10, N = 3SE +/- 0.11, N = 3SE +/- 0.15, N = 3SE +/- 0.14, N = 3SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 0.16, N = 3SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.17, N = 3SE +/- 0.25, N = 3SE +/- 0.68, N = 3SE +/- 0.13, N = 337.4547.7648.6446.4850.0648.1848.6247.4151.2548.4247.9147.2947.0446.2560.101. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080pEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F521224364860Min: 37.05 / Avg: 37.45 / Max: 37.82Min: 47.56 / Avg: 47.76 / Max: 47.91Min: 48.42 / Avg: 48.64 / Max: 48.79Min: 46.29 / Avg: 46.48 / Max: 46.78Min: 49.8 / Avg: 50.06 / Max: 50.28Min: 48.01 / Avg: 48.18 / Max: 48.3Min: 48.35 / Avg: 48.62 / Max: 48.86Min: 47.31 / Avg: 47.41 / Max: 47.53Min: 50.96 / Avg: 51.25 / Max: 51.53Min: 48.22 / Avg: 48.42 / Max: 48.64Min: 47.82 / Avg: 47.91 / Max: 48.03Min: 46.94 / Avg: 47.29 / Max: 47.49Min: 46.56 / Avg: 47.04 / Max: 47.4Min: 45.22 / Avg: 46.25 / Max: 47.52Min: 59.89 / Avg: 60.1 / Max: 60.351. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

LAME MP3 Encoding

LAME is an MP3 encoder licensed under the LGPL. This test measures the time required to encode a WAV file to MP3 format. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterLAME MP3 Encoding 3.100WAV To MP3EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215SE +/- 0.001, N = 3SE +/- 0.007, N = 3SE +/- 0.009, N = 3SE +/- 0.022, N = 3SE +/- 0.005, N = 3SE +/- 0.007, N = 3SE +/- 0.002, N = 3SE +/- 0.012, N = 3SE +/- 0.003, N = 3SE +/- 0.007, N = 3SE +/- 0.005, N = 3SE +/- 0.019, N = 3SE +/- 0.005, N = 3SE +/- 0.008, N = 3SE +/- 0.006, N = 3SE +/- 0.002, N = 3SE +/- 0.014, N = 3SE +/- 0.015, N = 3SE +/- 0.015, N = 3SE +/- 0.017, N = 39.8789.8859.57810.1029.4369.4419.4359.6339.2959.5899.5919.5919.4778.1748.1388.55212.61610.81413.0529.9611. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lncurses -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterLAME MP3 Encoding 3.100WAV To MP3EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R48121620Min: 9.88 / Avg: 9.88 / Max: 9.88Min: 9.88 / Avg: 9.88 / Max: 9.9Min: 9.56 / Avg: 9.58 / Max: 9.59Min: 10.06 / Avg: 10.1 / Max: 10.13Min: 9.43 / Avg: 9.44 / Max: 9.45Min: 9.43 / Avg: 9.44 / Max: 9.45Min: 9.43 / Avg: 9.43 / Max: 9.44Min: 9.61 / Avg: 9.63 / Max: 9.65Min: 9.29 / Avg: 9.3 / Max: 9.3Min: 9.57 / Avg: 9.59 / Max: 9.6Min: 9.58 / Avg: 9.59 / Max: 9.6Min: 9.57 / Avg: 9.59 / Max: 9.63Min: 9.47 / Avg: 9.48 / Max: 9.48Min: 8.16 / Avg: 8.17 / Max: 8.19Min: 8.13 / Avg: 8.14 / Max: 8.15Min: 8.55 / Avg: 8.55 / Max: 8.56Min: 12.59 / Avg: 12.62 / Max: 12.64Min: 10.79 / Avg: 10.81 / Max: 10.83Min: 13.03 / Avg: 13.05 / Max: 13.08Min: 9.93 / Avg: 9.96 / Max: 9.981. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lncurses -lm

InfluxDB

This is a benchmark of the InfluxDB open-source time-series database optimized for fast, high-availability storage for IoT and other use-cases. The InfluxDB test profile makes use of InfluxDB Inch for facilitating the benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R300K600K900K1200K1500KSE +/- 814.64, N = 3SE +/- 530.40, N = 3SE +/- 1307.15, N = 3SE +/- 1041.29, N = 3SE +/- 1128.81, N = 3SE +/- 1318.45, N = 3SE +/- 1514.83, N = 3SE +/- 1365.15, N = 3SE +/- 1437.35, N = 3SE +/- 1810.72, N = 3SE +/- 1742.78, N = 3SE +/- 1410.52, N = 3SE +/- 1031.15, N = 3SE +/- 3199.10, N = 3SE +/- 1967.95, N = 3SE +/- 902.43, N = 3SE +/- 2160.56, N = 3SE +/- 3591.98, N = 3SE +/- 776.56, N = 3SE +/- 4276.50, N = 31059281.81183988.81210116.81175677.71270159.21279481.91296390.31259260.41307825.71280484.31190017.21274188.21278094.71291467.31410677.51401814.5880632.51058780.2967062.11136314.3
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R200K400K600K800K1000KMin: 1057657.4 / Avg: 1059281.83 / Max: 1060202.8Min: 1182962.1 / Avg: 1183988.77 / Max: 1184733.3Min: 1207654.4 / Avg: 1210116.8 / Max: 1212108.5Min: 1173832.4 / Avg: 1175677.7 / Max: 1177436.4Min: 1268537.9 / Avg: 1270159.17 / Max: 1272330.4Min: 1277352.9 / Avg: 1279481.93 / Max: 1281893.8Min: 1294128.4 / Avg: 1296390.27 / Max: 1299266.8Min: 1256647.8 / Avg: 1259260.37 / Max: 1261253.5Min: 1306196.3 / Avg: 1307825.67 / Max: 1310691.4Min: 1277193.7 / Avg: 1280484.33 / Max: 1283439.2Min: 1186907.2 / Avg: 1190017.17 / Max: 1192935.2Min: 1271782.9 / Avg: 1274188.2 / Max: 1276667.4Min: 1276351.8 / Avg: 1278094.67 / Max: 1279920.9Min: 1285072.9 / Avg: 1291467.3 / Max: 1294855.3Min: 1407157.4 / Avg: 1410677.47 / Max: 1413962.4Min: 1400169.2 / Avg: 1401814.5 / Max: 1403279.7Min: 876434.3 / Avg: 880632.47 / Max: 883617.9Min: 1054259 / Avg: 1058780.23 / Max: 1065875.7Min: 965989.9 / Avg: 967062.1 / Max: 968571.3Min: 1131676 / Avg: 1136314.3 / Max: 1144856.8

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 0.2.3Target: CPU - Model: MobileNet v2EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R90180270360450SE +/- 0.74, N = 3SE +/- 0.74, N = 3SE +/- 0.41, N = 3SE +/- 2.06, N = 3SE +/- 0.56, N = 3SE +/- 1.03, N = 3SE +/- 1.84, N = 3SE +/- 0.14, N = 3SE +/- 0.39, N = 3SE +/- 1.79, N = 3SE +/- 1.34, N = 3SE +/- 4.04, N = 3SE +/- 1.24, N = 3SE +/- 0.05, N = 3SE +/- 0.77, N = 3SE +/- 0.27, N = 3SE +/- 1.15, N = 3SE +/- 0.05, N = 3SE +/- 0.20, N = 3SE +/- 1.03, N = 3332.86332.32331.74355.28325.88329.83324.95341.63322.45332.40339.74340.47340.47273.03280.01297.78435.97369.18368.64380.261. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R80160240320400Min: 331.66 / Avg: 332.86 / Max: 334.2Min: 330.91 / Avg: 332.32 / Max: 333.45Min: 331.09 / Avg: 331.74 / Max: 332.5Min: 351.77 / Avg: 355.28 / Max: 358.9Min: 324.89 / Avg: 325.88 / Max: 326.82Min: 328.48 / Avg: 329.83 / Max: 331.86Min: 321.27 / Avg: 324.95 / Max: 326.89Min: 341.48 / Avg: 341.63 / Max: 341.9Min: 322.03 / Avg: 322.45 / Max: 323.23Min: 329.08 / Avg: 332.4 / Max: 335.2Min: 338.1 / Avg: 339.74 / Max: 342.39Min: 335.17 / Avg: 340.47 / Max: 348.41Min: 338.86 / Avg: 340.47 / Max: 342.91Min: 272.98 / Avg: 273.03 / Max: 273.13Min: 278.81 / Avg: 280.01 / Max: 281.44Min: 297.27 / Avg: 297.78 / Max: 298.2Min: 434.76 / Avg: 435.97 / Max: 438.26Min: 369.13 / Avg: 369.18 / Max: 369.28Min: 368.35 / Avg: 368.64 / Max: 369.03Min: 379.06 / Avg: 380.26 / Max: 382.311. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

Tungsten Renderer

Tungsten is a C++ physically based renderer that makes use of Intel's Embree ray tracing library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Water CausticEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R816243240SE +/- 0.30, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.20, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.18, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 332.3125.1424.5924.3522.4122.1221.7422.3221.3321.2321.2820.8320.7727.7221.3820.7029.2932.9126.1924.721. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512pf -mno-avx512er -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Water CausticEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R714212835Min: 31.9 / Avg: 32.31 / Max: 32.89Min: 25.11 / Avg: 25.14 / Max: 25.18Min: 24.47 / Avg: 24.59 / Max: 24.66Min: 24.3 / Avg: 24.35 / Max: 24.4Min: 22.37 / Avg: 22.41 / Max: 22.44Min: 22.1 / Avg: 22.12 / Max: 22.15Min: 21.72 / Avg: 21.74 / Max: 21.76Min: 22.3 / Avg: 22.32 / Max: 22.34Min: 21.26 / Avg: 21.33 / Max: 21.41Min: 21.2 / Avg: 21.23 / Max: 21.29Min: 21.27 / Avg: 21.28 / Max: 21.3Min: 20.75 / Avg: 20.83 / Max: 20.92Min: 20.7 / Avg: 20.77 / Max: 20.81Min: 27.48 / Avg: 27.72 / Max: 28.1Min: 21.28 / Avg: 21.38 / Max: 21.49Min: 20.68 / Avg: 20.7 / Max: 20.74Min: 29.23 / Avg: 29.29 / Max: 29.35Min: 32.56 / Avg: 32.91 / Max: 33.16Min: 26.05 / Avg: 26.19 / Max: 26.29Min: 24.67 / Avg: 24.72 / Max: 24.771. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512pf -mno-avx512er -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl

Go Benchmarks

Benchmark for monitoring real time performance of the Go implementation for HTTP, JSON and garbage testing per iteration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNanoseconds/Operation, Fewer Is BetterGo BenchmarksTest: buildEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R7000M14000M21000M28000M35000MSE +/- 403725574.05, N = 3SE +/- 262528887.35, N = 3SE +/- 257688840.28, N = 3SE +/- 405179316.78, N = 3SE +/- 221045514.68, N = 3SE +/- 260349467.99, N = 3SE +/- 319930671.11, N = 3SE +/- 371050761.61, N = 3SE +/- 270641509.43, N = 3SE +/- 277727800.92, N = 3SE +/- 264303439.24, N = 3SE +/- 295544204.19, N = 3SE +/- 302020444.34, N = 3SE +/- 162622849.80, N = 3SE +/- 199580423.82, N = 3SE +/- 150437988.79, N = 3SE +/- 184494389.91, N = 3SE +/- 272072229.27, N = 3SE +/- 393927881.59, N = 4SE +/- 47797408.02, N = 32683377376326061132684255830410112716065368225481171757259833294252593543017026413350226255797721262678483902026811743887273719880852715660617621612938632214583020922252267332333843207555272012475882900419127126996186767
OpenBenchmarking.orgNanoseconds/Operation, Fewer Is BetterGo BenchmarksTest: buildEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R6000M12000M18000M24000M30000MMin: 26256594229 / Avg: 26833773762.67 / Max: 27611373608Min: 25723985903 / Avg: 26061132683.67 / Max: 26578293633Min: 25289195555 / Avg: 25583041010.67 / Max: 26096640369Min: 26709579111 / Avg: 27160653681.67 / Max: 27969208664Min: 25250159824 / Avg: 25481171757 / Max: 25923110678Min: 25699669989 / Avg: 25983329425 / Max: 26503310607Min: 25498348340 / Avg: 25935430170.33 / Max: 26558676544Min: 25992830121 / Avg: 26413350226.33 / Max: 27153146051Min: 25215434359 / Avg: 25579772125.67 / Max: 26108616612Min: 26458538443 / Avg: 26784839020.33 / Max: 27337276021Min: 26485058463 / Avg: 26811743886.67 / Max: 27334984361Min: 27064599055 / Avg: 27371988084.67 / Max: 27962916082Min: 26813018719 / Avg: 27156606175.67 / Max: 27758643778Min: 21386676155 / Avg: 21612938632.33 / Max: 21928412507Min: 21203679144 / Avg: 21458302092.33 / Max: 21851832278Min: 22320233608 / Avg: 22522673322.67 / Max: 22816658288Min: 33553780188 / Avg: 33843207555.33 / Max: 34186134228Min: 26896993870 / Avg: 27201247588 / Max: 27744068893Min: 28293004070 / Avg: 29004191270.75 / Max: 30103539805Min: 26945235036 / Avg: 26996186767 / Max: 27091710598

LuaJIT

This test profile is a collection of Lua scripts/benchmarks run against a locally-built copy of LuaJIT upstream. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterLuaJIT 2.1-gitTest: Jacobi Successive Over-RelaxationEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R400800120016002000SE +/- 4.99, N = 3SE +/- 0.05, N = 3SE +/- 0.24, N = 3SE +/- 0.36, N = 3SE +/- 4.45, N = 3SE +/- 6.19, N = 3SE +/- 0.36, N = 3SE +/- 1.70, N = 3SE +/- 6.85, N = 3SE +/- 6.62, N = 3SE +/- 0.32, N = 3SE +/- 0.41, N = 3SE +/- 0.11, N = 3SE +/- 5.43, N = 3SE +/- 0.26, N = 3SE +/- 0.08, N = 3SE +/- 0.51, N = 3SE +/- 0.53, N = 3SE +/- 0.53, N = 3SE +/- 0.24, N = 31543.181551.931600.371526.071620.271617.941624.461585.161642.141593.451599.971600.431618.821882.961891.081793.821202.171388.741463.941465.321. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector
OpenBenchmarking.orgMflops, More Is BetterLuaJIT 2.1-gitTest: Jacobi Successive Over-RelaxationEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R30060090012001500Min: 1533.19 / Avg: 1543.18 / Max: 1548.29Min: 1551.82 / Avg: 1551.93 / Max: 1551.98Min: 1599.9 / Avg: 1600.37 / Max: 1600.64Min: 1525.45 / Avg: 1526.07 / Max: 1526.7Min: 1611.36 / Avg: 1620.27 / Max: 1624.8Min: 1605.58 / Avg: 1617.94 / Max: 1624.6Min: 1624.07 / Avg: 1624.46 / Max: 1625.17Min: 1581.93 / Avg: 1585.16 / Max: 1587.68Min: 1628.44 / Avg: 1642.14 / Max: 1649.35Min: 1580.23 / Avg: 1593.45 / Max: 1600.52Min: 1599.53 / Avg: 1599.97 / Max: 1600.6Min: 1599.65 / Avg: 1600.43 / Max: 1601.06Min: 1618.68 / Avg: 1618.82 / Max: 1619.05Min: 1872.09 / Avg: 1882.96 / Max: 1888.44Min: 1890.57 / Avg: 1891.08 / Max: 1891.43Min: 1793.71 / Avg: 1793.82 / Max: 1793.98Min: 1201.26 / Avg: 1202.17 / Max: 1203.03Min: 1387.68 / Avg: 1388.74 / Max: 1389.29Min: 1463.01 / Avg: 1463.94 / Max: 1464.86Min: 1464.85 / Avg: 1465.32 / Max: 1465.571. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector

GIMP

GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: unsharp-maskEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R714212835SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.15, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.37, N = 4SE +/- 0.05, N = 3SE +/- 0.29, N = 5SE +/- 0.09, N = 320.5021.4421.8423.7922.4823.6523.2224.2523.2023.5824.0723.6323.8217.7420.0021.1327.7919.4022.6123.04
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: unsharp-maskEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R612182430Min: 20.43 / Avg: 20.5 / Max: 20.53Min: 21.26 / Avg: 21.44 / Max: 21.62Min: 21.81 / Avg: 21.84 / Max: 21.9Min: 23.73 / Avg: 23.79 / Max: 23.83Min: 22.36 / Avg: 22.48 / Max: 22.58Min: 23.5 / Avg: 23.65 / Max: 23.85Min: 23.14 / Avg: 23.22 / Max: 23.3Min: 24.14 / Avg: 24.25 / Max: 24.4Min: 23.02 / Avg: 23.2 / Max: 23.51Min: 23.52 / Avg: 23.58 / Max: 23.62Min: 23.98 / Avg: 24.07 / Max: 24.22Min: 23.46 / Avg: 23.63 / Max: 23.79Min: 23.79 / Avg: 23.82 / Max: 23.84Min: 17.67 / Avg: 17.74 / Max: 17.81Min: 19.9 / Avg: 20 / Max: 20.09Min: 21.02 / Avg: 21.13 / Max: 21.32Min: 27.14 / Avg: 27.79 / Max: 28.76Min: 19.3 / Avg: 19.4 / Max: 19.48Min: 21.5 / Avg: 22.61 / Max: 23.08Min: 22.88 / Avg: 23.04 / Max: 23.2

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1020304050SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.40, N = 3SE +/- 0.50, N = 3SE +/- 0.13, N = 3SE +/- 0.37, N = 3SE +/- 0.19, N = 3SE +/- 0.29, N = 3SE +/- 0.35, N = 3SE +/- 0.09, N = 3SE +/- 0.36, N = 3SE +/- 0.47, N = 4SE +/- 0.25, N = 3SE +/- 0.08, N = 3SE +/- 0.15, N = 3SE +/- 0.20, N = 3SE +/- 0.53, N = 6SE +/- 0.24, N = 3SE +/- 0.12, N = 3SE +/- 0.45, N = 336.6437.5341.4140.7841.8340.0639.7940.7739.6237.2037.5036.1836.5933.2931.0829.3245.9136.2041.2837.761. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R918273645Min: 36.56 / Avg: 36.64 / Max: 36.72Min: 37.4 / Avg: 37.53 / Max: 37.59Min: 40.73 / Avg: 41.4 / Max: 42.11Min: 39.78 / Avg: 40.78 / Max: 41.36Min: 41.57 / Avg: 41.83 / Max: 41.98Min: 39.36 / Avg: 40.06 / Max: 40.63Min: 39.49 / Avg: 39.79 / Max: 40.16Min: 40.36 / Avg: 40.77 / Max: 41.32Min: 39.23 / Avg: 39.62 / Max: 40.33Min: 37.09 / Avg: 37.2 / Max: 37.38Min: 37.01 / Avg: 37.5 / Max: 38.19Min: 35.48 / Avg: 36.18 / Max: 37.56Min: 36.1 / Avg: 36.59 / Max: 36.93Min: 33.13 / Avg: 33.29 / Max: 33.4Min: 30.85 / Avg: 31.08 / Max: 31.35Min: 28.97 / Avg: 29.32 / Max: 29.67Min: 44.64 / Avg: 45.91 / Max: 47.86Min: 35.78 / Avg: 36.2 / Max: 36.62Min: 41.05 / Avg: 41.28 / Max: 41.44Min: 37.11 / Avg: 37.76 / Max: 38.621. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read WriteEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R7001400210028003500SE +/- 3.48, N = 3SE +/- 4.52, N = 3SE +/- 23.10, N = 3SE +/- 30.62, N = 3SE +/- 7.36, N = 3SE +/- 23.27, N = 3SE +/- 12.17, N = 3SE +/- 17.47, N = 3SE +/- 22.21, N = 3SE +/- 6.79, N = 3SE +/- 24.83, N = 3SE +/- 35.00, N = 4SE +/- 18.57, N = 3SE +/- 7.30, N = 3SE +/- 15.04, N = 3SE +/- 24.07, N = 3SE +/- 24.94, N = 6SE +/- 18.54, N = 3SE +/- 7.17, N = 3SE +/- 30.95, N = 3273126672418245723942500251724572528269326712770273830063221341521822764242626521. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read WriteEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R6001200180024003000Min: 2724.61 / Avg: 2730.99 / Max: 2736.57Min: 2662.62 / Avg: 2667.31 / Max: 2676.34Min: 2377.38 / Avg: 2418.12 / Max: 2457.35Min: 2421.18 / Avg: 2457.42 / Max: 2518.29Min: 2385.23 / Avg: 2394.11 / Max: 2408.72Min: 2465.63 / Avg: 2500.49 / Max: 2544.62Min: 2494.25 / Avg: 2516.54 / Max: 2536.14Min: 2423.61 / Avg: 2456.72 / Max: 2482.93Min: 2483.62 / Avg: 2527.96 / Max: 2552.45Min: 2678.96 / Avg: 2692.53 / Max: 2699.86Min: 2623.14 / Avg: 2671.2 / Max: 2706.08Min: 2667.34 / Avg: 2769.78 / Max: 2823.7Min: 2711.95 / Avg: 2737.69 / Max: 2773.75Min: 2995.56 / Avg: 3005.63 / Max: 3019.81Min: 3192.63 / Avg: 3220.59 / Max: 3244.19Min: 3373.98 / Avg: 3415.45 / Max: 3457.36Min: 2092.2 / Avg: 2182.28 / Max: 2243.11Min: 2732.77 / Avg: 2764.17 / Max: 2796.94Min: 2416.35 / Avg: 2425.68 / Max: 2439.78Min: 2592.68 / Avg: 2652.12 / Max: 2696.831. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

GIMP

GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: auto-levelsEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R510152025SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.13, N = 3SE +/- 0.02, N = 3SE +/- 0.12, N = 3SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.19, N = 11SE +/- 0.05, N = 3SE +/- 0.27, N = 3SE +/- 0.04, N = 316.3116.8816.9318.2517.2818.1717.9619.0317.6518.3918.6318.4418.3113.7515.3816.2021.4317.1018.2318.10
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: auto-levelsEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R510152025Min: 16.27 / Avg: 16.31 / Max: 16.36Min: 16.78 / Avg: 16.88 / Max: 16.98Min: 16.9 / Avg: 16.93 / Max: 16.95Min: 18.18 / Avg: 18.25 / Max: 18.39Min: 17.22 / Avg: 17.28 / Max: 17.35Min: 17.98 / Avg: 18.17 / Max: 18.38Min: 17.87 / Avg: 17.96 / Max: 18.06Min: 18.79 / Avg: 19.03 / Max: 19.24Min: 17.62 / Avg: 17.65 / Max: 17.69Min: 18.26 / Avg: 18.39 / Max: 18.63Min: 18.56 / Avg: 18.63 / Max: 18.69Min: 18.23 / Avg: 18.44 / Max: 18.55Min: 18.27 / Avg: 18.31 / Max: 18.37Min: 13.7 / Avg: 13.75 / Max: 13.81Min: 15.29 / Avg: 15.38 / Max: 15.48Min: 16.17 / Avg: 16.2 / Max: 16.24Min: 20.87 / Avg: 21.43 / Max: 23.06Min: 17.03 / Avg: 17.1 / Max: 17.2Min: 17.72 / Avg: 18.23 / Max: 18.63Min: 18.05 / Avg: 18.1 / Max: 18.18

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: rotateEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R510152025SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.04, N = 3SE +/- 0.12, N = 3SE +/- 0.06, N = 315.5415.2815.1715.9615.1315.2515.2015.6615.0415.6715.7315.6615.6012.7712.8513.6519.8716.2717.3516.80
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: rotateEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R510152025Min: 15.43 / Avg: 15.54 / Max: 15.63Min: 15.24 / Avg: 15.28 / Max: 15.31Min: 15.05 / Avg: 15.17 / Max: 15.24Min: 15.86 / Avg: 15.96 / Max: 16.04Min: 15.12 / Avg: 15.12 / Max: 15.13Min: 15.23 / Avg: 15.25 / Max: 15.28Min: 15.16 / Avg: 15.2 / Max: 15.28Min: 15.63 / Avg: 15.66 / Max: 15.69Min: 15.02 / Avg: 15.04 / Max: 15.06Min: 15.61 / Avg: 15.67 / Max: 15.75Min: 15.66 / Avg: 15.72 / Max: 15.76Min: 15.6 / Avg: 15.66 / Max: 15.74Min: 15.54 / Avg: 15.6 / Max: 15.67Min: 12.73 / Avg: 12.77 / Max: 12.79Min: 12.82 / Avg: 12.85 / Max: 12.88Min: 13.6 / Avg: 13.65 / Max: 13.68Min: 19.67 / Avg: 19.87 / Max: 20.09Min: 16.22 / Avg: 16.27 / Max: 16.34Min: 17.19 / Avg: 17.35 / Max: 17.59Min: 16.74 / Avg: 16.8 / Max: 16.92

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 2020-09-17Model: MobileNetV2_224EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R246810SE +/- 0.027, N = 12SE +/- 0.106, N = 3SE +/- 0.063, N = 3SE +/- 0.121, N = 15SE +/- 0.074, N = 15SE +/- 0.034, N = 15SE +/- 0.014, N = 3SE +/- 0.074, N = 15SE +/- 0.012, N = 12SE +/- 0.028, N = 15SE +/- 0.087, N = 3SE +/- 0.023, N = 15SE +/- 0.025, N = 12SE +/- 0.068, N = 3SE +/- 0.012, N = 15SE +/- 0.071, N = 15SE +/- 0.033, N = 3SE +/- 0.012, N = 3SE +/- 0.005, N = 3SE +/- 0.042, N = 126.3206.3536.9866.1385.9054.8644.9205.3134.6745.0595.0325.0775.6305.5816.0995.8477.1534.7247.2236.7001. (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 2020-09-17Model: MobileNetV2_224EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215Min: 6.18 / Avg: 6.32 / Max: 6.49Min: 6.14 / Avg: 6.35 / Max: 6.46Min: 6.86 / Avg: 6.99 / Max: 7.06Min: 5.41 / Avg: 6.14 / Max: 6.86Min: 5.45 / Avg: 5.91 / Max: 6.45Min: 4.63 / Avg: 4.86 / Max: 5.19Min: 4.9 / Avg: 4.92 / Max: 4.95Min: 4.77 / Avg: 5.31 / Max: 5.9Min: 4.61 / Avg: 4.67 / Max: 4.76Min: 4.82 / Avg: 5.06 / Max: 5.19Min: 4.88 / Avg: 5.03 / Max: 5.18Min: 4.83 / Avg: 5.08 / Max: 5.22Min: 5.48 / Avg: 5.63 / Max: 5.83Min: 5.51 / Avg: 5.58 / Max: 5.72Min: 6 / Avg: 6.1 / Max: 6.16Min: 5.51 / Avg: 5.85 / Max: 6.23Min: 7.11 / Avg: 7.15 / Max: 7.22Min: 4.71 / Avg: 4.72 / Max: 4.75Min: 7.22 / Avg: 7.22 / Max: 7.23Min: 6.58 / Avg: 6.7 / Max: 7.081. (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

InfluxDB

This is a benchmark of the InfluxDB open-source time-series database optimized for fast, high-availability storage for IoT and other use-cases. The InfluxDB test profile makes use of InfluxDB Inch for facilitating the benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R300K600K900K1200K1500KSE +/- 537.25, N = 3SE +/- 375.00, N = 3SE +/- 713.77, N = 3SE +/- 837.79, N = 3SE +/- 825.62, N = 3SE +/- 3144.17, N = 3SE +/- 1691.70, N = 3SE +/- 3188.58, N = 3SE +/- 1012.15, N = 3SE +/- 3450.73, N = 3SE +/- 2773.38, N = 3SE +/- 4135.18, N = 3SE +/- 4294.50, N = 3SE +/- 476.77, N = 3SE +/- 2446.24, N = 3SE +/- 1619.42, N = 3SE +/- 2349.97, N = 3SE +/- 590.96, N = 3SE +/- 1606.18, N = 3SE +/- 2790.92, N = 3948381.61082109.01068224.41058363.81116967.31128044.21149222.61085461.21146289.61104030.21072387.81083763.61094235.61089138.11179108.01220547.1792341.21002037.2869198.01051144.4
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R200K400K600K800K1000KMin: 947355.2 / Avg: 948381.6 / Max: 949170.1Min: 1081359.5 / Avg: 1082109.03 / Max: 1082506.8Min: 1066800.6 / Avg: 1068224.43 / Max: 1069025.5Min: 1057216.2 / Avg: 1058363.77 / Max: 1059994.9Min: 1115818.7 / Avg: 1116967.33 / Max: 1118569Min: 1121805.2 / Avg: 1128044.17 / Max: 1131844.7Min: 1146924 / Avg: 1149222.63 / Max: 1152522Min: 1081877.1 / Avg: 1085461.23 / Max: 1091821.3Min: 1144800.5 / Avg: 1146289.6 / Max: 1148221.7Min: 1097478.3 / Avg: 1104030.2 / Max: 1109184.2Min: 1068479.3 / Avg: 1072387.77 / Max: 1077750.5Min: 1075660.9 / Avg: 1083763.63 / Max: 1089249.7Min: 1089020.9 / Avg: 1094235.6 / Max: 1102753.4Min: 1088610.7 / Avg: 1089138.13 / Max: 1090089.8Min: 1174401.6 / Avg: 1179108 / Max: 1182618.6Min: 1217678.7 / Avg: 1220547.07 / Max: 1223283.9Min: 787708.8 / Avg: 792341.17 / Max: 795345.1Min: 1000914.7 / Avg: 1002037.2 / Max: 1002918.9Min: 866206.7 / Avg: 869198 / Max: 871707.8Min: 1046116.4 / Avg: 1051144.4 / Max: 1055757.7

IOR

IOR is a parallel I/O storage benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterIOR 3.2.1Write TestEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R400800120016002000SE +/- 8.59, N = 3SE +/- 2.60, N = 3SE +/- 5.14, N = 3SE +/- 3.89, N = 3SE +/- 2.61, N = 3SE +/- 5.28, N = 3SE +/- 2.04, N = 3SE +/- 0.83, N = 3SE +/- 21.70, N = 4SE +/- 2.72, N = 3SE +/- 2.75, N = 3SE +/- 10.46, N = 3SE +/- 5.43, N = 3SE +/- 13.68, N = 3SE +/- 8.17, N = 3SE +/- 25.56, N = 4SE +/- 16.02, N = 3SE +/- 17.20, N = 3SE +/- 8.52, N = 3SE +/- 4.36, N = 31603.941659.951598.231622.601636.481259.041542.431590.821604.881573.201606.891251.891575.391927.481850.531849.321465.051689.881538.461626.731. (CC) gcc options: -O2 -lm -pthread -lmpi
OpenBenchmarking.orgMB/s, More Is BetterIOR 3.2.1Write TestEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R30060090012001500Min: 1590.02 / Avg: 1603.94 / Max: 1619.63Min: 1657.12 / Avg: 1659.95 / Max: 1665.15Min: 1589.01 / Avg: 1598.23 / Max: 1606.76Min: 1617.44 / Avg: 1622.6 / Max: 1630.22Min: 1633.32 / Avg: 1636.48 / Max: 1641.66Min: 1248.55 / Avg: 1259.04 / Max: 1265.36Min: 1538.62 / Avg: 1542.43 / Max: 1545.61Min: 1589.42 / Avg: 1590.82 / Max: 1592.28Min: 1579.94 / Avg: 1604.88 / Max: 1669.75Min: 1568.76 / Avg: 1573.2 / Max: 1578.14Min: 1601.58 / Avg: 1606.89 / Max: 1610.78Min: 1231.03 / Avg: 1251.89 / Max: 1263.75Min: 1564.62 / Avg: 1575.39 / Max: 1582.05Min: 1909.11 / Avg: 1927.48 / Max: 1954.23Min: 1838.59 / Avg: 1850.53 / Max: 1866.16Min: 1821.66 / Avg: 1849.32 / Max: 1925.92Min: 1434.9 / Avg: 1465.05 / Max: 1489.51Min: 1655.64 / Avg: 1689.88 / Max: 1709.87Min: 1521.44 / Avg: 1538.46 / Max: 1547.68Min: 1618.3 / Avg: 1626.73 / Max: 1632.911. (CC) gcc options: -O2 -lm -pthread -lmpi

FFTW

FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 1D FFT Size 32EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R2K4K6K8K10KSE +/- 18.98, N = 3SE +/- 13.57, N = 3SE +/- 26.00, N = 3SE +/- 35.37, N = 3SE +/- 15.10, N = 3SE +/- 11.00, N = 3SE +/- 17.27, N = 3SE +/- 26.37, N = 3SE +/- 9.46, N = 3SE +/- 25.12, N = 3SE +/- 11.62, N = 3SE +/- 25.41, N = 3SE +/- 120.96, N = 12SE +/- 17.77, N = 3SE +/- 14.56, N = 3SE +/- 6.72, N = 3SE +/- 47.90, N = 3SE +/- 66.32, N = 15SE +/- 283.76, N = 15SE +/- 29.54, N = 37745.07730.87995.07612.78109.58120.48099.78026.08216.88006.07949.48020.37964.49421.59439.38920.86157.67477.67362.47945.01. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 1D FFT Size 32EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R16003200480064008000Min: 7711.3 / Avg: 7744.97 / Max: 7777Min: 7709 / Avg: 7730.8 / Max: 7755.7Min: 7964.9 / Avg: 7995.03 / Max: 8046.8Min: 7570.9 / Avg: 7612.67 / Max: 7683Min: 8082.1 / Avg: 8109.47 / Max: 8134.2Min: 8098.4 / Avg: 8120.37 / Max: 8132.3Min: 8080.9 / Avg: 8099.7 / Max: 8134.2Min: 7994.6 / Avg: 8026 / Max: 8078.4Min: 8199 / Avg: 8216.83 / Max: 8231.2Min: 7973.4 / Avg: 8006 / Max: 8055.4Min: 7926.3 / Avg: 7949.4 / Max: 7963.1Min: 7974 / Avg: 8020.27 / Max: 8061.6Min: 6641.2 / Avg: 7964.4 / Max: 8138.6Min: 9400.9 / Avg: 9421.53 / Max: 9456.9Min: 9411 / Avg: 9439.3 / Max: 9459.4Min: 8907.4 / Avg: 8920.77 / Max: 8928.6Min: 6073.8 / Avg: 6157.63 / Max: 6239.7Min: 7147.3 / Avg: 7477.55 / Max: 7839.8Min: 4484.5 / Avg: 7362.4 / Max: 8116.5Min: 7900.1 / Avg: 7944.97 / Max: 8000.71. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

Perl Benchmarks

Perl benchmark suite that can be used to compare the relative speed of different versions of perl. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: InterpreterEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R0.00030.00060.00090.00120.0015SE +/- 0.00000638, N = 3SE +/- 0.00001218, N = 3SE +/- 0.00000590, N = 3SE +/- 0.00001515, N = 4SE +/- 0.00000929, N = 3SE +/- 0.00000997, N = 3SE +/- 0.00000873, N = 3SE +/- 0.00001716, N = 3SE +/- 0.00001457, N = 4SE +/- 0.00000492, N = 3SE +/- 0.00000704, N = 3SE +/- 0.00000843, N = 3SE +/- 0.00001189, N = 15SE +/- 0.00000094, N = 3SE +/- 0.00000247, N = 3SE +/- 0.00001130, N = 3SE +/- 0.00001147, N = 15SE +/- 0.00001139, N = 3SE +/- 0.00001075, N = 3SE +/- 0.00000700, N = 30.001035150.001026280.001009120.001140260.000999510.000993970.001010880.001053410.001007040.001024490.001019670.001005780.001068250.000891560.000831640.000883160.001273770.001019050.001016480.00099843
OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: InterpreterEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R12345Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradesoapEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R12002400360048006000SE +/- 33.61, N = 4SE +/- 18.17, N = 4SE +/- 25.86, N = 4SE +/- 38.40, N = 4SE +/- 38.80, N = 4SE +/- 44.81, N = 4SE +/- 63.41, N = 4SE +/- 59.76, N = 4SE +/- 34.26, N = 4SE +/- 57.02, N = 4SE +/- 32.48, N = 4SE +/- 25.70, N = 4SE +/- 42.50, N = 4SE +/- 18.54, N = 4SE +/- 24.42, N = 4SE +/- 39.71, N = 4SE +/- 46.89, N = 4SE +/- 38.11, N = 4SE +/- 12.82, N = 4SE +/- 47.32, N = 454144190427744664203446043854609426946894747496849214485379635354753496243673926
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradesoapEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R9001800270036004500Min: 5331 / Avg: 5413.5 / Max: 5479Min: 4150 / Avg: 4190.25 / Max: 4221Min: 4206 / Avg: 4276.75 / Max: 4326Min: 4397 / Avg: 4466 / Max: 4553Min: 4087 / Avg: 4202.5 / Max: 4251Min: 4327 / Avg: 4460.25 / Max: 4515Min: 4213 / Avg: 4385.25 / Max: 4514Min: 4497 / Avg: 4609 / Max: 4752Min: 4173 / Avg: 4268.5 / Max: 4334Min: 4535 / Avg: 4689 / Max: 4810Min: 4657 / Avg: 4746.75 / Max: 4812Min: 4901 / Avg: 4967.75 / Max: 5022Min: 4832 / Avg: 4920.5 / Max: 5010Min: 4445 / Avg: 4484.75 / Max: 4522Min: 3752 / Avg: 3795.5 / Max: 3862Min: 3451 / Avg: 3534.75 / Max: 3614Min: 4613 / Avg: 4752.5 / Max: 4816Min: 4848 / Avg: 4962 / Max: 5008Min: 4339 / Avg: 4366.5 / Max: 4401Min: 3801 / Avg: 3926.25 / Max: 4024

FFTW

FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 2D FFT Size 4096EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R12002400360048006000SE +/- 9.01, N = 3SE +/- 6.37, N = 3SE +/- 13.80, N = 3SE +/- 9.23, N = 3SE +/- 4.51, N = 3SE +/- 4.72, N = 3SE +/- 6.76, N = 3SE +/- 7.15, N = 3SE +/- 15.88, N = 3SE +/- 1.56, N = 3SE +/- 3.03, N = 3SE +/- 11.98, N = 3SE +/- 12.00, N = 3SE +/- 4.57, N = 3SE +/- 16.76, N = 3SE +/- 4.53, N = 3SE +/- 14.09, N = 3SE +/- 34.36, N = 3SE +/- 13.61, N = 3SE +/- 8.45, N = 34732.04812.54980.04728.45061.85049.75028.05002.85108.55024.55013.45040.75107.65671.45705.45661.03726.44123.84300.64449.31. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 2D FFT Size 4096EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R10002000300040005000Min: 4714.4 / Avg: 4732.03 / Max: 4744.1Min: 4800.8 / Avg: 4812.5 / Max: 4822.7Min: 4955.2 / Avg: 4980 / Max: 5002.9Min: 4718 / Avg: 4728.4 / Max: 4746.8Min: 5055.7 / Avg: 5061.8 / Max: 5070.6Min: 5044.1 / Avg: 5049.73 / Max: 5059.1Min: 5017 / Avg: 5027.97 / Max: 5040.3Min: 4988.8 / Avg: 5002.77 / Max: 5012.4Min: 5089.3 / Avg: 5108.5 / Max: 5140Min: 5021.7 / Avg: 5024.5 / Max: 5027.1Min: 5008.1 / Avg: 5013.37 / Max: 5018.6Min: 5022.3 / Avg: 5040.73 / Max: 5063.2Min: 5084 / Avg: 5107.6 / Max: 5123.2Min: 5662.3 / Avg: 5671.43 / Max: 5676.2Min: 5672.1 / Avg: 5705.43 / Max: 5725.2Min: 5653.7 / Avg: 5660.97 / Max: 5669.3Min: 3700.4 / Avg: 3726.43 / Max: 3748.8Min: 4055.1 / Avg: 4123.77 / Max: 4160.4Min: 4275.4 / Avg: 4300.6 / Max: 4322.1Min: 4433.4 / Avg: 4449.3 / Max: 4462.21. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

AI Benchmark Alpha

AI Benchmark Alpha is a Python library for evaluating artificial intelligence (AI) performance on diverse hardware platforms and relies upon the TensorFlow machine learning library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training ScoreEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R300600900120015009741251126912791338130313191249135512161226110810621044135414391086102713011491

MariaDB

This is a MariaDB MySQL database server benchmark making use of mysqlslap. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.5.2Clients: 16EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R15003000450060007500SE +/- 13.17, N = 3SE +/- 12.17, N = 3SE +/- 9.79, N = 3SE +/- 9.00, N = 3SE +/- 10.46, N = 3SE +/- 17.05, N = 3SE +/- 10.82, N = 3SE +/- 9.90, N = 3SE +/- 11.74, N = 3SE +/- 10.23, N = 3SE +/- 10.70, N = 3SE +/- 23.78, N = 3SE +/- 16.34, N = 3SE +/- 7.11, N = 3SE +/- 13.44, N = 3SE +/- 22.84, N = 3SE +/- 9.19, N = 3SE +/- 15.12, N = 3SE +/- 10.35, N = 3SE +/- 15.32, N = 3443860485425519956085435570354455941553556715200531946156343628952456742557667721. (CXX) g++ options: -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -ldl
OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.5.2Clients: 16EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R12002400360048006000Min: 4424.78 / Avg: 4437.95 / Max: 4464.29Min: 6024.1 / Avg: 6048.44 / Max: 6060.61Min: 5405.41 / Avg: 5424.99 / Max: 5434.78Min: 5181.35 / Avg: 5199.34 / Max: 5208.33Min: 5586.59 / Avg: 5607.52 / Max: 5617.98Min: 5405.41 / Avg: 5434.89 / Max: 5464.48Min: 5681.82 / Avg: 5703.46 / Max: 5714.29Min: 5434.78 / Avg: 5444.68 / Max: 5464.48Min: 5917.16 / Avg: 5940.64 / Max: 5952.38Min: 5524.86 / Avg: 5535.09 / Max: 5555.56Min: 5649.72 / Avg: 5671.12 / Max: 5681.82Min: 5154.64 / Avg: 5199.52 / Max: 5235.6Min: 5291.01 / Avg: 5319.25 / Max: 5347.59Min: 4608.29 / Avg: 4615.41 / Max: 4629.63Min: 6329.11 / Avg: 6342.55 / Max: 6369.43Min: 6250 / Avg: 6289.47 / Max: 6329.11Min: 5235.6 / Avg: 5244.79 / Max: 5263.16Min: 6711.41 / Avg: 6741.64 / Max: 6756.76Min: 5555.56 / Avg: 5576.25 / Max: 5586.59Min: 6756.76 / Avg: 6772.08 / Max: 6802.721. (CXX) g++ options: -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -ldl

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R306090120150SE +/- 0.67, N = 3SE +/- 0.79, N = 3SE +/- 0.03, N = 3SE +/- 0.67, N = 3SE +/- 0.64, N = 3SE +/- 0.70, N = 3SE +/- 0.61, N = 3SE +/- 0.48, N = 3SE +/- 0.61, N = 3SE +/- 0.68, N = 3SE +/- 0.27, N = 3SE +/- 0.70, N = 3SE +/- 0.78, N = 3SE +/- 1.34, N = 3SE +/- 0.28, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 1.68, N = 4SE +/- 0.55, N = 3SE +/- 0.16, N = 3109.88109.74106.23112.87105.42106.27105.44107.17104.22107.44108.65107.25111.0395.4090.7797.84137.50117.95116.74109.731. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R306090120150Min: 108.53 / Avg: 109.88 / Max: 110.59Min: 108.16 / Avg: 109.74 / Max: 110.58Min: 106.17 / Avg: 106.23 / Max: 106.28Min: 112.12 / Avg: 112.87 / Max: 114.21Min: 104.56 / Avg: 105.42 / Max: 106.68Min: 104.87 / Avg: 106.27 / Max: 106.98Min: 104.66 / Avg: 105.44 / Max: 106.63Min: 106.36 / Avg: 107.17 / Max: 108.03Min: 103.43 / Avg: 104.22 / Max: 105.42Min: 106.6 / Avg: 107.44 / Max: 108.79Min: 108.37 / Avg: 108.65 / Max: 109.18Min: 106.3 / Avg: 107.25 / Max: 108.62Min: 109.9 / Avg: 111.03 / Max: 112.54Min: 92.75 / Avg: 95.4 / Max: 97.06Min: 90.42 / Avg: 90.77 / Max: 91.33Min: 97.81 / Avg: 97.84 / Max: 97.86Min: 137.42 / Avg: 137.5 / Max: 137.61Min: 115.95 / Avg: 117.95 / Max: 122.95Min: 116.07 / Avg: 116.74 / Max: 117.83Min: 109.54 / Avg: 109.73 / Max: 110.061. (CXX) g++ options: -O2 -lOpenCL

MariaDB

This is a MariaDB MySQL database server benchmark making use of mysqlslap. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.5.2Clients: 1EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3K6K9K12K15KSE +/- 56.96, N = 3SE +/- 63.42, N = 3SE +/- 163.64, N = 3SE +/- 112.46, N = 3SE +/- 190.33, N = 3SE +/- 155.07, N = 3SE +/- 115.44, N = 3SE +/- 60.88, N = 6SE +/- 63.42, N = 3SE +/- 189.94, N = 3SE +/- 170.94, N = 3SE +/- 78.14, N = 4SE +/- 102.66, N = 3SE +/- 73.16, N = 3SE +/- 75.38, N = 3SE +/- 80.13, N = 3SE +/- 61.37, N = 3SE +/- 51.44, N = 3SE +/- 112.45, N = 3SE +/- 94.50, N = 313101137621357912933137041321913218133941382512826129911258013335147791507615465103101239711323118591. (CXX) g++ options: -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -ldl
OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.5.2Clients: 1EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3K6K9K12K15KMin: 12987.01 / Avg: 13100.93 / Max: 13157.89Min: 13698.63 / Avg: 13762.05 / Max: 13888.89Min: 13333.33 / Avg: 13578.58 / Max: 13888.89Min: 12820.51 / Avg: 12932.97 / Max: 13157.89Min: 13513.51 / Avg: 13703.84 / Max: 14084.51Min: 12987.01 / Avg: 13219.47 / Max: 13513.51Min: 12987.01 / Avg: 13217.89 / Max: 13333.33Min: 13333.33 / Avg: 13394.22 / Max: 13698.63Min: 13698.63 / Avg: 13825.47 / Max: 13888.89Min: 12500 / Avg: 12826.14 / Max: 13157.89Min: 12820.51 / Avg: 12991.45 / Max: 13333.33Min: 12345.68 / Avg: 12580.09 / Max: 12658.23Min: 13157.89 / Avg: 13334.91 / Max: 13513.51Min: 14705.88 / Avg: 14779.05 / Max: 14925.37Min: 14925.37 / Avg: 15076.13 / Max: 15151.52Min: 15384.62 / Avg: 15464.74 / Max: 15625Min: 10204.08 / Avg: 10310.01 / Max: 10416.67Min: 12345.68 / Avg: 12397.12 / Max: 12500Min: 11111.11 / Avg: 11323 / Max: 11494.25Min: 11764.71 / Avg: 11859.2 / Max: 12048.191. (CXX) g++ options: -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -ldl

Nebular Empirical Analysis Tool

NEAT is the Nebular Empirical Analysis Tool for empirical analysis of ionised nebulae, with uncertainty propagation. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNebular Empirical Analysis Tool 2020-02-29EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R510152025SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.18, N = 320.3016.6716.9316.8816.1015.8915.7216.3815.5615.7715.8916.0516.5216.8915.4015.3120.3522.8518.7918.591. (F9X) gfortran options: -cpp -ffree-line-length-0 -Jsource/ -fopenmp -O3 -fno-backtrace
OpenBenchmarking.orgSeconds, Fewer Is BetterNebular Empirical Analysis Tool 2020-02-29EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R510152025Min: 20.28 / Avg: 20.3 / Max: 20.33Min: 16.65 / Avg: 16.66 / Max: 16.68Min: 16.87 / Avg: 16.93 / Max: 17Min: 16.78 / Avg: 16.88 / Max: 16.95Min: 16.05 / Avg: 16.1 / Max: 16.12Min: 15.85 / Avg: 15.89 / Max: 15.96Min: 15.7 / Avg: 15.72 / Max: 15.74Min: 16.33 / Avg: 16.38 / Max: 16.46Min: 15.54 / Avg: 15.56 / Max: 15.57Min: 15.75 / Avg: 15.77 / Max: 15.78Min: 15.87 / Avg: 15.89 / Max: 15.91Min: 16.04 / Avg: 16.05 / Max: 16.06Min: 16.49 / Avg: 16.52 / Max: 16.55Min: 16.87 / Avg: 16.89 / Max: 16.95Min: 15.39 / Avg: 15.4 / Max: 15.42Min: 15.27 / Avg: 15.31 / Max: 15.36Min: 20.32 / Avg: 20.35 / Max: 20.41Min: 22.78 / Avg: 22.85 / Max: 22.96Min: 18.71 / Avg: 18.79 / Max: 18.88Min: 18.3 / Avg: 18.59 / Max: 18.911. (F9X) gfortran options: -cpp -ffree-line-length-0 -Jsource/ -fopenmp -O3 -fno-backtrace

FLAC Audio Encoding

This test times how long it takes to encode a sample WAV file to FLAC format five times. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterFLAC Audio Encoding 1.3.2WAV To FLACEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215SE +/- 0.003, N = 5SE +/- 0.006, N = 5SE +/- 0.007, N = 5SE +/- 0.006, N = 5SE +/- 0.012, N = 5SE +/- 0.009, N = 5SE +/- 0.009, N = 5SE +/- 0.014, N = 5SE +/- 0.012, N = 5SE +/- 0.003, N = 5SE +/- 0.008, N = 5SE +/- 0.009, N = 5SE +/- 0.016, N = 5SE +/- 0.009, N = 5SE +/- 0.012, N = 5SE +/- 0.018, N = 5SE +/- 0.040, N = 5SE +/- 0.006, N = 5SE +/- 0.025, N = 5SE +/- 0.014, N = 510.30710.30310.02510.4909.8999.9279.89010.0519.73610.00810.02610.0589.9318.5698.5158.99712.33310.70512.6899.7091. (CXX) g++ options: -O2 -fvisibility=hidden -logg -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterFLAC Audio Encoding 1.3.2WAV To FLACEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R48121620Min: 10.3 / Avg: 10.31 / Max: 10.32Min: 10.29 / Avg: 10.3 / Max: 10.33Min: 10.01 / Avg: 10.02 / Max: 10.05Min: 10.47 / Avg: 10.49 / Max: 10.5Min: 9.88 / Avg: 9.9 / Max: 9.94Min: 9.91 / Avg: 9.93 / Max: 9.95Min: 9.87 / Avg: 9.89 / Max: 9.92Min: 10.01 / Avg: 10.05 / Max: 10.09Min: 9.71 / Avg: 9.74 / Max: 9.76Min: 10 / Avg: 10.01 / Max: 10.02Min: 10 / Avg: 10.03 / Max: 10.05Min: 10.03 / Avg: 10.06 / Max: 10.08Min: 9.88 / Avg: 9.93 / Max: 9.97Min: 8.55 / Avg: 8.57 / Max: 8.59Min: 8.49 / Avg: 8.51 / Max: 8.55Min: 8.95 / Avg: 9 / Max: 9.05Min: 12.28 / Avg: 12.33 / Max: 12.49Min: 10.68 / Avg: 10.71 / Max: 10.72Min: 12.62 / Avg: 12.69 / Max: 12.77Min: 9.66 / Avg: 9.71 / Max: 9.741. (CXX) g++ options: -O2 -fvisibility=hidden -logg -lm

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R0.01170.02340.03510.04680.0585SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 4SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0440.0360.0430.0390.0370.0360.0370.0420.0360.0380.0380.0360.0350.0390.0400.0400.0520.0410.0440.0411. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R12345Min: 0.04 / Avg: 0.04 / Max: 0.04Min: 0.04 / Avg: 0.04 / Max: 0.04Min: 0.04 / Avg: 0.04 / Max: 0.04Min: 0.04 / Avg: 0.04 / Max: 0.04Min: 0.04 / Avg: 0.04 / Max: 0.04Min: 0.04 / Avg: 0.04 / Max: 0.04Min: 0.04 / Avg: 0.04 / Max: 0.04Min: 0.04 / Avg: 0.04 / Max: 0.04Min: 0.04 / Avg: 0.04 / Max: 0.04Min: 0.04 / Avg: 0.04 / Max: 0.04Min: 0.04 / Avg: 0.04 / Max: 0.04Min: 0.04 / Avg: 0.04 / Max: 0.04Min: 0.04 / Avg: 0.04 / Max: 0.04Min: 0.04 / Avg: 0.04 / Max: 0.04Min: 0.04 / Avg: 0.04 / Max: 0.04Min: 0.04 / Avg: 0.04 / Max: 0.04Min: 0.05 / Avg: 0.05 / Max: 0.05Min: 0.04 / Avg: 0.04 / Max: 0.04Min: 0.04 / Avg: 0.04 / Max: 0.04Min: 0.04 / Avg: 0.04 / Max: 0.041. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

AOM AV1

This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-PassEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R0.54681.09361.64042.18722.734SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 31.902.012.061.952.082.072.082.032.112.032.032.022.042.292.432.301.651.871.672.061. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-PassEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R246810Min: 1.89 / Avg: 1.9 / Max: 1.9Min: 2.01 / Avg: 2.01 / Max: 2.02Min: 2.05 / Avg: 2.06 / Max: 2.07Min: 1.94 / Avg: 1.95 / Max: 1.97Min: 2.08 / Avg: 2.08 / Max: 2.09Min: 2.06 / Avg: 2.07 / Max: 2.07Min: 2.07 / Avg: 2.08 / Max: 2.09Min: 2.03 / Avg: 2.03 / Max: 2.04Min: 2.1 / Avg: 2.11 / Max: 2.12Min: 2.03 / Avg: 2.03 / Max: 2.04Min: 2.03 / Avg: 2.03 / Max: 2.03Min: 2.02 / Avg: 2.02 / Max: 2.03Min: 2.03 / Avg: 2.04 / Max: 2.05Min: 2.28 / Avg: 2.29 / Max: 2.31Min: 2.42 / Avg: 2.43 / Max: 2.44Min: 2.3 / Avg: 2.3 / Max: 2.3Min: 1.63 / Avg: 1.65 / Max: 1.66Min: 1.85 / Avg: 1.87 / Max: 1.88Min: 1.64 / Avg: 1.67 / Max: 1.69Min: 2.03 / Avg: 2.06 / Max: 2.091. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

Dolfyn

Dolfyn is a Computational Fluid Dynamics (CFD) code of modern numerical simulation techniques. The Dolfyn test profile measures the execution time of the bundled computational fluid dynamics demos that are bundled with Dolfyn. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R612182430SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.24, N = 3SE +/- 0.07, N = 3SE +/- 0.17, N = 3SE +/- 0.00, N = 321.6321.4520.8721.9120.5220.5920.4920.8420.1920.7920.7820.7920.7217.8317.7318.6126.1022.5921.7921.48
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R612182430Min: 21.61 / Avg: 21.63 / Max: 21.64Min: 21.44 / Avg: 21.45 / Max: 21.47Min: 20.85 / Avg: 20.87 / Max: 20.9Min: 21.79 / Avg: 21.91 / Max: 22.06Min: 20.48 / Avg: 20.52 / Max: 20.58Min: 20.53 / Avg: 20.59 / Max: 20.65Min: 20.45 / Avg: 20.49 / Max: 20.51Min: 20.79 / Avg: 20.84 / Max: 20.91Min: 20.15 / Avg: 20.19 / Max: 20.21Min: 20.77 / Avg: 20.79 / Max: 20.82Min: 20.76 / Avg: 20.78 / Max: 20.8Min: 20.77 / Avg: 20.79 / Max: 20.81Min: 20.66 / Avg: 20.72 / Max: 20.76Min: 17.8 / Avg: 17.83 / Max: 17.88Min: 17.69 / Avg: 17.73 / Max: 17.8Min: 18.56 / Avg: 18.61 / Max: 18.64Min: 25.82 / Avg: 26.1 / Max: 26.58Min: 22.49 / Avg: 22.59 / Max: 22.72Min: 21.6 / Avg: 21.79 / Max: 22.13Min: 21.47 / Avg: 21.48 / Max: 21.49

AOM AV1

This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 RealtimeEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R510152025SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.14, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.16, N = 3SE +/- 0.08, N = 3SE +/- 0.10, N = 3SE +/- 0.10, N = 315.1115.4315.9314.5315.6915.0415.3015.1715.8014.8214.8314.7814.6618.0519.5018.9913.2714.3414.6215.671. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 RealtimeEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R510152025Min: 15.01 / Avg: 15.11 / Max: 15.22Min: 15.28 / Avg: 15.43 / Max: 15.57Min: 15.78 / Avg: 15.93 / Max: 16.12Min: 14.47 / Avg: 14.53 / Max: 14.6Min: 15.55 / Avg: 15.69 / Max: 15.98Min: 15 / Avg: 15.04 / Max: 15.08Min: 15.19 / Avg: 15.3 / Max: 15.39Min: 15.06 / Avg: 15.17 / Max: 15.37Min: 15.68 / Avg: 15.8 / Max: 15.97Min: 14.79 / Avg: 14.82 / Max: 14.85Min: 14.8 / Avg: 14.83 / Max: 14.86Min: 14.72 / Avg: 14.78 / Max: 14.86Min: 14.63 / Avg: 14.66 / Max: 14.72Min: 17.97 / Avg: 18.05 / Max: 18.15Min: 19.41 / Avg: 19.5 / Max: 19.68Min: 18.88 / Avg: 18.99 / Max: 19.07Min: 13.02 / Avg: 13.27 / Max: 13.57Min: 14.18 / Avg: 14.34 / Max: 14.45Min: 14.45 / Avg: 14.62 / Max: 14.81Min: 15.5 / Avg: 15.67 / Max: 15.841. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read OnlyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R6K12K18K24K30KSE +/- 121.60, N = 3SE +/- 38.55, N = 3SE +/- 98.18, N = 3SE +/- 230.00, N = 3SE +/- 314.26, N = 3SE +/- 244.15, N = 3SE +/- 237.04, N = 3SE +/- 151.40, N = 3SE +/- 350.21, N = 4SE +/- 286.26, N = 3SE +/- 239.87, N = 3SE +/- 291.09, N = 3SE +/- 331.01, N = 3SE +/- 131.48, N = 3SE +/- 285.78, N = 3SE +/- 83.49, N = 3SE +/- 193.12, N = 3SE +/- 228.24, N = 3SE +/- 21.16, N = 3SE +/- 172.94, N = 322727281582345125430270892809227309240322745026679263372759728221256442524925032192052467222849242951. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read OnlyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R5K10K15K20K25KMin: 22577.93 / Avg: 22726.96 / Max: 22967.91Min: 28092.62 / Avg: 28158.38 / Max: 28226.11Min: 23322.1 / Avg: 23450.61 / Max: 23643.44Min: 25055.95 / Avg: 25429.68 / Max: 25848.82Min: 26753.58 / Avg: 27089.36 / Max: 27717.37Min: 27663.45 / Avg: 28092.27 / Max: 28508.95Min: 26918.38 / Avg: 27308.99 / Max: 27736.97Min: 23806.11 / Avg: 24031.52 / Max: 24319.31Min: 26711.61 / Avg: 27449.98 / Max: 28327.42Min: 26360.32 / Avg: 26678.72 / Max: 27249.99Min: 25860.1 / Avg: 26337.19 / Max: 26619.37Min: 27036.41 / Avg: 27596.92 / Max: 28013.43Min: 27573.78 / Avg: 28221.33 / Max: 28664.34Min: 25466.37 / Avg: 25644.39 / Max: 25901Min: 24734.57 / Avg: 25249.37 / Max: 25721.82Min: 24930.7 / Avg: 25031.81 / Max: 25197.44Min: 18827.45 / Avg: 19204.76 / Max: 19464.94Min: 24382.2 / Avg: 24672 / Max: 25122.33Min: 22823.95 / Avg: 22848.57 / Max: 22890.7Min: 23983.72 / Avg: 24294.59 / Max: 24581.331. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

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 0.7.3Encoder Speed: 8EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R246810SE +/- 0.022, N = 3SE +/- 0.008, N = 3SE +/- 0.016, N = 3SE +/- 0.010, N = 3SE +/- 0.023, N = 3SE +/- 0.024, N = 3SE +/- 0.003, N = 3SE +/- 0.029, N = 3SE +/- 0.017, N = 3SE +/- 0.036, N = 3SE +/- 0.008, N = 3SE +/- 0.012, N = 3SE +/- 0.010, N = 3SE +/- 0.026, N = 3SE +/- 0.042, N = 3SE +/- 0.015, N = 36.5846.0395.8946.2985.9705.9745.9156.0775.8735.5125.1455.6947.5256.8376.4156.2301. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215Min: 6.56 / Avg: 6.58 / Max: 6.63Min: 6.03 / Avg: 6.04 / Max: 6.06Min: 5.86 / Avg: 5.89 / Max: 5.91Min: 6.28 / Avg: 6.3 / Max: 6.32Min: 5.95 / Avg: 5.97 / Max: 6.02Min: 5.94 / Avg: 5.97 / Max: 6.02Min: 5.91 / Avg: 5.91 / Max: 5.92Min: 6.03 / Avg: 6.08 / Max: 6.13Min: 5.84 / Avg: 5.87 / Max: 5.9Min: 5.45 / Avg: 5.51 / Max: 5.57Min: 5.14 / Avg: 5.15 / Max: 5.16Min: 5.68 / Avg: 5.69 / Max: 5.72Min: 7.5 / Avg: 7.52 / Max: 7.54Min: 6.79 / Avg: 6.84 / Max: 6.86Min: 6.34 / Avg: 6.42 / Max: 6.49Min: 6.2 / Avg: 6.23 / Max: 6.251. (CXX) g++ options: -O3 -fPIC

Monte Carlo Simulations of Ionised Nebulae

Mocassin is the Monte Carlo Simulations of Ionised Nebulae. MOCASSIN is a fully 3D or 2D photoionisation and dust radiative transfer code which employs a Monte Carlo approach to the transfer of radiation through media of arbitrary geometry and density distribution. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R60120180240300SE +/- 0.88, N = 3SE +/- 0.33, N = 3SE +/- 2.08, N = 3SE +/- 0.67, N = 3SE +/- 2.52, N = 3SE +/- 1.00, N = 3SE +/- 2.03, N = 3SE +/- 1.45, N = 32762372272392152222122122132212162362452341901942732572632161. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lrt -lz
OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R50100150200250Min: 238 / Avg: 239.33 / Max: 241Min: 212 / Avg: 212.33 / Max: 213Min: 242 / Avg: 245 / Max: 249Min: 233 / Avg: 233.67 / Max: 235Min: 268 / Avg: 273 / Max: 276Min: 255 / Avg: 257 / Max: 258Min: 259 / Avg: 262.67 / Max: 266Min: 214 / Avg: 216.33 / Max: 2191. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lrt -lz

AOM AV1

This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-PassEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R0.84151.6832.52453.3664.2075SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 32.963.083.173.013.213.173.193.123.253.123.123.093.123.593.743.582.582.922.633.201. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-PassEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R246810Min: 2.95 / Avg: 2.96 / Max: 2.97Min: 3.07 / Avg: 3.08 / Max: 3.09Min: 3.15 / Avg: 3.17 / Max: 3.2Min: 2.99 / Avg: 3.01 / Max: 3.03Min: 3.2 / Avg: 3.21 / Max: 3.22Min: 3.16 / Avg: 3.17 / Max: 3.18Min: 3.19 / Avg: 3.19 / Max: 3.19Min: 3.11 / Avg: 3.12 / Max: 3.12Min: 3.23 / Avg: 3.25 / Max: 3.27Min: 3.12 / Avg: 3.12 / Max: 3.12Min: 3.11 / Avg: 3.12 / Max: 3.13Min: 3.09 / Avg: 3.09 / Max: 3.1Min: 3.12 / Avg: 3.12 / Max: 3.13Min: 3.57 / Avg: 3.59 / Max: 3.6Min: 3.73 / Avg: 3.74 / Max: 3.75Min: 3.57 / Avg: 3.58 / Max: 3.59Min: 2.56 / Avg: 2.58 / Max: 2.6Min: 2.91 / Avg: 2.92 / Max: 2.93Min: 2.62 / Avg: 2.63 / Max: 2.63Min: 3.18 / Avg: 3.2 / Max: 3.231. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

SMHasher

SMHasher is a hash function tester. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2020-02-29Hash: t1ha0_aes_avx2Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R14K28K42K56K70KSE +/- 229.42, N = 3SE +/- 26.55, N = 3SE +/- 4.85, N = 3SE +/- 9.03, N = 360445.4446085.9466753.9854110.841. (CXX) g++ options: -march=native -O3 -lpthread
OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2020-02-29Hash: t1ha0_aes_avx2Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R12K24K36K48K60KMin: 60000.23 / Avg: 60445.44 / Max: 60764.17Min: 46033.79 / Avg: 46085.94 / Max: 46120.71Min: 66744.31 / Avg: 66753.98 / Max: 66759.45Min: 54093.11 / Avg: 54110.84 / Max: 54122.681. (CXX) g++ options: -march=native -O3 -lpthread

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: Quality 100, Lossless, Highest CompressionEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1224364860SE +/- 0.09, N = 3SE +/- 0.12, N = 3SE +/- 0.11, N = 3SE +/- 0.13, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.13, N = 3SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 346.6344.8543.6245.7742.8642.7942.9343.7542.3743.7243.7243.7243.0937.0336.8939.0653.3948.8545.2245.241. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1122334455Min: 46.45 / Avg: 46.63 / Max: 46.74Min: 44.68 / Avg: 44.85 / Max: 45.08Min: 43.4 / Avg: 43.62 / Max: 43.73Min: 45.52 / Avg: 45.77 / Max: 45.96Min: 42.72 / Avg: 42.86 / Max: 43.05Min: 42.72 / Avg: 42.79 / Max: 42.82Min: 42.82 / Avg: 42.93 / Max: 43.12Min: 43.71 / Avg: 43.75 / Max: 43.8Min: 42.17 / Avg: 42.37 / Max: 42.5Min: 43.59 / Avg: 43.72 / Max: 43.85Min: 43.51 / Avg: 43.72 / Max: 43.84Min: 43.54 / Avg: 43.72 / Max: 43.82Min: 42.93 / Avg: 43.09 / Max: 43.23Min: 36.86 / Avg: 37.03 / Max: 37.28Min: 36.78 / Avg: 36.89 / Max: 37.06Min: 38.76 / Avg: 39.06 / Max: 39.27Min: 53.32 / Avg: 53.39 / Max: 53.46Min: 48.76 / Avg: 48.85 / Max: 48.98Min: 45.18 / Avg: 45.22 / Max: 45.28Min: 45.22 / Avg: 45.24 / Max: 45.271. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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 0.7.3Encoder Speed: 10EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R246810SE +/- 0.016, N = 3SE +/- 0.009, N = 3SE +/- 0.008, N = 3SE +/- 0.024, N = 3SE +/- 0.020, N = 3SE +/- 0.023, N = 3SE +/- 0.017, N = 3SE +/- 0.017, N = 3SE +/- 0.014, N = 3SE +/- 0.011, N = 3SE +/- 0.004, N = 3SE +/- 0.020, N = 3SE +/- 0.006, N = 3SE +/- 0.020, N = 3SE +/- 0.019, N = 3SE +/- 0.048, N = 36.2335.8405.7156.1695.8265.8465.8205.9405.7225.2315.0315.5627.2426.5346.2196.0851. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215Min: 6.21 / Avg: 6.23 / Max: 6.26Min: 5.83 / Avg: 5.84 / Max: 5.86Min: 5.7 / Avg: 5.72 / Max: 5.73Min: 6.13 / Avg: 6.17 / Max: 6.21Min: 5.79 / Avg: 5.83 / Max: 5.85Min: 5.81 / Avg: 5.85 / Max: 5.89Min: 5.8 / Avg: 5.82 / Max: 5.85Min: 5.91 / Avg: 5.94 / Max: 5.97Min: 5.7 / Avg: 5.72 / Max: 5.75Min: 5.21 / Avg: 5.23 / Max: 5.25Min: 5.03 / Avg: 5.03 / Max: 5.04Min: 5.53 / Avg: 5.56 / Max: 5.6Min: 7.23 / Avg: 7.24 / Max: 7.25Min: 6.5 / Avg: 6.53 / Max: 6.56Min: 6.19 / Avg: 6.22 / Max: 6.25Min: 6 / Avg: 6.09 / Max: 6.161. (CXX) g++ options: -O3 -fPIC

Crafty

This is a performance test of Crafty, an advanced open-source chess engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed TimeEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R2M4M6M8M10MSE +/- 78634.61, N = 5SE +/- 91804.03, N = 3SE +/- 4457.96, N = 3SE +/- 66115.31, N = 6SE +/- 43739.49, N = 3SE +/- 27245.95, N = 3SE +/- 16322.76, N = 3SE +/- 23411.23, N = 3SE +/- 47967.21, N = 3SE +/- 58932.94, N = 9SE +/- 5490.09, N = 3SE +/- 16641.25, N = 3SE +/- 11189.60, N = 3SE +/- 33413.74, N = 3SE +/- 13365.44, N = 3SE +/- 13083.28, N = 3SE +/- 6669.39, N = 3SE +/- 1366.79, N = 3SE +/- 12885.91, N = 3SE +/- 10792.27, N = 3597704356289496478221543904663401156322595672444459553066451888616960666173256446053654832272991027812765743201061782147069239746120774652721. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm
OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed TimeEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1.4M2.8M4.2M5.6M7MMin: 5669153 / Avg: 5977043.4 / Max: 6096958Min: 5474789 / Avg: 5628948.67 / Max: 5792400Min: 6471681 / Avg: 6478221 / Max: 6486739Min: 5307839 / Avg: 5439045.5 / Max: 5725219Min: 6255345 / Avg: 6340114.67 / Max: 6401208Min: 6268240 / Avg: 6322595.33 / Max: 6353112Min: 6706889 / Avg: 6724444.33 / Max: 6757058Min: 5911775 / Avg: 5955306.33 / Max: 5992006Min: 6356940 / Avg: 6451888.33 / Max: 6511244Min: 5765543 / Avg: 6169606 / Max: 6421933Min: 6607733 / Avg: 6617325.33 / Max: 6626749Min: 6419058 / Avg: 6446052.67 / Max: 6476410Min: 6526815 / Avg: 6548321.67 / Max: 6564434Min: 7253372 / Avg: 7299102 / Max: 7364169Min: 7786435 / Avg: 7812765.33 / Max: 7829923Min: 7406367 / Avg: 7432010.33 / Max: 7449341Min: 6169791 / Avg: 6178214.33 / Max: 6191383Min: 7067247 / Avg: 7069238.67 / Max: 7071856Min: 7441628 / Avg: 7461207.33 / Max: 7485510Min: 7443773 / Avg: 7465272 / Max: 74776841. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm

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 2.0Preset: FastEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 37.306.456.276.355.925.835.795.915.695.775.765.735.676.115.325.397.647.556.556.421. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: FastEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215Min: 7.29 / Avg: 7.3 / Max: 7.31Min: 6.43 / Avg: 6.45 / Max: 6.47Min: 6.26 / Avg: 6.27 / Max: 6.27Min: 6.32 / Avg: 6.35 / Max: 6.38Min: 5.89 / Avg: 5.92 / Max: 5.95Min: 5.82 / Avg: 5.83 / Max: 5.84Min: 5.78 / Avg: 5.79 / Max: 5.8Min: 5.88 / Avg: 5.91 / Max: 5.93Min: 5.66 / Avg: 5.69 / Max: 5.71Min: 5.75 / Avg: 5.77 / Max: 5.79Min: 5.75 / Avg: 5.76 / Max: 5.78Min: 5.72 / Avg: 5.73 / Max: 5.73Min: 5.64 / Avg: 5.67 / Max: 5.69Min: 6.1 / Avg: 6.11 / Max: 6.12Min: 5.3 / Avg: 5.32 / Max: 5.35Min: 5.38 / Avg: 5.39 / Max: 5.41Min: 7.64 / Avg: 7.64 / Max: 7.65Min: 7.54 / Avg: 7.55 / Max: 7.56Min: 6.54 / Avg: 6.55 / Max: 6.57Min: 6.4 / Avg: 6.42 / Max: 6.451. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Polyhedron Fortran Benchmarks

The Fortran.uk Polyhedron Fortran Benchmarks for comparing Fortran compiler performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: proteinEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R51015202516.6316.6616.1316.9415.8915.8815.8916.1515.6716.1516.1516.1515.9713.7813.6614.4119.5916.9316.0616.11

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 CompileEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R816243240SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.17, N = 3SE +/- 0.09, N = 330.6628.0227.3828.5226.7026.9026.8227.2126.4127.1827.1427.2126.9424.5322.8723.6532.6030.0028.2726.27
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R714212835Min: 30.61 / Avg: 30.66 / Max: 30.73Min: 27.91 / Avg: 28.02 / Max: 28.08Min: 27.36 / Avg: 27.38 / Max: 27.41Min: 28.45 / Avg: 28.52 / Max: 28.58Min: 26.66 / Avg: 26.7 / Max: 26.78Min: 26.86 / Avg: 26.89 / Max: 26.93Min: 26.78 / Avg: 26.82 / Max: 26.88Min: 27.16 / Avg: 27.21 / Max: 27.25Min: 26.39 / Avg: 26.41 / Max: 26.44Min: 27.15 / Avg: 27.18 / Max: 27.21Min: 27.12 / Avg: 27.14 / Max: 27.18Min: 27.17 / Avg: 27.21 / Max: 27.25Min: 26.9 / Avg: 26.94 / Max: 26.98Min: 24.49 / Avg: 24.53 / Max: 24.61Min: 22.85 / Avg: 22.87 / Max: 22.89Min: 23.59 / Avg: 23.65 / Max: 23.74Min: 32.54 / Avg: 32.6 / Max: 32.66Min: 29.79 / Avg: 30 / Max: 30.14Min: 28.09 / Avg: 28.27 / Max: 28.61Min: 26.14 / Avg: 26.27 / Max: 26.44

Basis Universal

Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: ETC1SEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1530456075SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.19, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 1.18, N = 3SE +/- 0.05, N = 3SE +/- 0.33, N = 3SE +/- 0.26, N = 363.2156.9855.6057.3653.7153.5153.3154.6652.4553.6653.8253.5953.0553.7547.9949.5967.9464.2157.5856.381. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: ETC1SEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1326395265Min: 63.19 / Avg: 63.21 / Max: 63.22Min: 56.93 / Avg: 56.98 / Max: 57.02Min: 55.5 / Avg: 55.6 / Max: 55.71Min: 57.2 / Avg: 57.36 / Max: 57.55Min: 53.63 / Avg: 53.71 / Max: 53.83Min: 53.47 / Avg: 53.51 / Max: 53.54Min: 53.31 / Avg: 53.31 / Max: 53.31Min: 54.49 / Avg: 54.65 / Max: 54.84Min: 52.38 / Avg: 52.45 / Max: 52.56Min: 53.59 / Avg: 53.66 / Max: 53.7Min: 53.73 / Avg: 53.82 / Max: 53.89Min: 53.57 / Avg: 53.59 / Max: 53.6Min: 53 / Avg: 53.05 / Max: 53.13Min: 53.37 / Avg: 53.75 / Max: 54.01Min: 47.94 / Avg: 47.99 / Max: 48.03Min: 49.5 / Avg: 49.58 / Max: 49.74Min: 65.79 / Avg: 67.94 / Max: 69.85Min: 64.12 / Avg: 64.21 / Max: 64.3Min: 56.98 / Avg: 57.58 / Max: 58.12Min: 56.07 / Avg: 56.38 / Max: 56.911. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 1 - Mode: Read WriteEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R7001400210028003500SE +/- 36.77, N = 3SE +/- 9.25, N = 3SE +/- 17.23, N = 3SE +/- 20.43, N = 3SE +/- 3.04, N = 3SE +/- 36.94, N = 3SE +/- 36.68, N = 3SE +/- 38.78, N = 3SE +/- 22.48, N = 3SE +/- 31.43, N = 3SE +/- 16.57, N = 3SE +/- 18.09, N = 3SE +/- 19.93, N = 3SE +/- 5.57, N = 3SE +/- 12.55, N = 3SE +/- 44.73, N = 3SE +/- 18.96, N = 3SE +/- 12.38, N = 3SE +/- 8.56, N = 3SE +/- 28.72, N = 3270630102821295830173007308628703136308930372993311830603025326223052938270628831. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 1 - Mode: Read WriteEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R6001200180024003000Min: 2653.24 / Avg: 2706.36 / Max: 2776.95Min: 2992.58 / Avg: 3010.35 / Max: 3023.7Min: 2797.47 / Avg: 2821.48 / Max: 2854.9Min: 2927.75 / Avg: 2958.16 / Max: 2996.99Min: 3013.25 / Avg: 3017.3 / Max: 3023.25Min: 2961.68 / Avg: 3007.13 / Max: 3080.29Min: 3012.63 / Avg: 3085.97 / Max: 3124.23Min: 2816.65 / Avg: 2869.87 / Max: 2945.34Min: 3091.94 / Avg: 3135.97 / Max: 3165.84Min: 3030.41 / Avg: 3088.86 / Max: 3138.1Min: 3005.01 / Avg: 3037.11 / Max: 3060.32Min: 2957.29 / Avg: 2992.6 / Max: 3017.08Min: 3081.23 / Avg: 3117.96 / Max: 3149.71Min: 3050.34 / Avg: 3060.33 / Max: 3069.58Min: 3001.96 / Avg: 3025.16 / Max: 3045.07Min: 3176.93 / Avg: 3261.79 / Max: 3328.76Min: 2269.4 / Avg: 2304.89 / Max: 2334.21Min: 2925.21 / Avg: 2938.25 / Max: 2963Min: 2692.25 / Avg: 2706.46 / Max: 2721.83Min: 2829.3 / Avg: 2883.47 / Max: 2927.121. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

Bork File Encrypter

Bork is a small, cross-platform file encryption utility. It is written in Java and designed to be included along with the files it encrypts for long-term storage. This test measures the amount of time it takes to encrypt a sample file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBork File Encrypter 1.4File Encryption TimeEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215SE +/- 0.027, N = 3SE +/- 0.036, N = 3SE +/- 0.022, N = 3SE +/- 0.012, N = 3SE +/- 0.027, N = 3SE +/- 0.022, N = 3SE +/- 0.018, N = 3SE +/- 0.047, N = 3SE +/- 0.028, N = 3SE +/- 0.036, N = 3SE +/- 0.010, N = 3SE +/- 0.022, N = 3SE +/- 0.010, N = 3SE +/- 0.042, N = 3SE +/- 0.016, N = 3SE +/- 0.025, N = 3SE +/- 0.019, N = 3SE +/- 0.032, N = 3SE +/- 0.029, N = 3SE +/- 0.020, N = 310.90910.85510.50811.10510.35210.35210.40710.60710.28010.50610.51210.58210.5089.0168.9579.4809.4848.2117.8517.885
OpenBenchmarking.orgSeconds, Fewer Is BetterBork File Encrypter 1.4File Encryption TimeEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215Min: 10.86 / Avg: 10.91 / Max: 10.95Min: 10.78 / Avg: 10.86 / Max: 10.9Min: 10.47 / Avg: 10.51 / Max: 10.55Min: 11.08 / Avg: 11.11 / Max: 11.12Min: 10.3 / Avg: 10.35 / Max: 10.38Min: 10.31 / Avg: 10.35 / Max: 10.38Min: 10.38 / Avg: 10.41 / Max: 10.44Min: 10.52 / Avg: 10.61 / Max: 10.67Min: 10.24 / Avg: 10.28 / Max: 10.33Min: 10.44 / Avg: 10.51 / Max: 10.57Min: 10.5 / Avg: 10.51 / Max: 10.53Min: 10.54 / Avg: 10.58 / Max: 10.62Min: 10.49 / Avg: 10.51 / Max: 10.53Min: 8.97 / Avg: 9.02 / Max: 9.1Min: 8.93 / Avg: 8.96 / Max: 8.98Min: 9.44 / Avg: 9.48 / Max: 9.53Min: 9.46 / Avg: 9.48 / Max: 9.52Min: 8.17 / Avg: 8.21 / Max: 8.28Min: 7.81 / Avg: 7.85 / Max: 7.91Min: 7.86 / Avg: 7.88 / Max: 7.92

Polyhedron Fortran Benchmarks

The Fortran.uk Polyhedron Fortran Benchmarks for comparing Fortran compiler performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: acEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R2468107.877.887.637.997.517.517.507.637.407.627.627.637.536.466.456.806.895.955.655.70

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 1 - Mode: Read Write - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R0.09770.19540.29310.39080.4885SE +/- 0.005, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.000, N = 3SE +/- 0.004, N = 3SE +/- 0.004, N = 3SE +/- 0.004, N = 3SE +/- 0.002, N = 3SE +/- 0.003, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.004, N = 3SE +/- 0.004, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.004, N = 30.3700.3320.3550.3380.3320.3330.3240.3490.3190.3240.3290.3340.3210.3270.3300.3070.4340.3410.3700.3471. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 1 - Mode: Read Write - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R12345Min: 0.36 / Avg: 0.37 / Max: 0.38Min: 0.33 / Avg: 0.33 / Max: 0.33Min: 0.35 / Avg: 0.35 / Max: 0.36Min: 0.33 / Avg: 0.34 / Max: 0.34Min: 0.33 / Avg: 0.33 / Max: 0.33Min: 0.33 / Avg: 0.33 / Max: 0.34Min: 0.32 / Avg: 0.32 / Max: 0.33Min: 0.34 / Avg: 0.35 / Max: 0.36Min: 0.32 / Avg: 0.32 / Max: 0.32Min: 0.32 / Avg: 0.32 / Max: 0.33Min: 0.33 / Avg: 0.33 / Max: 0.33Min: 0.33 / Avg: 0.33 / Max: 0.34Min: 0.32 / Avg: 0.32 / Max: 0.33Min: 0.33 / Avg: 0.33 / Max: 0.33Min: 0.33 / Avg: 0.33 / Max: 0.33Min: 0.3 / Avg: 0.31 / Max: 0.32Min: 0.43 / Avg: 0.43 / Max: 0.44Min: 0.34 / Avg: 0.34 / Max: 0.34Min: 0.37 / Avg: 0.37 / Max: 0.37Min: 0.34 / Avg: 0.35 / Max: 0.351. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

ECP-CANDLE

The CANDLE benchmark codes implement deep learning architectures relevant to problems in cancer. These architectures address problems at different biological scales, specifically problems at the molecular, cellular and population scales. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterECP-CANDLE 0.3Benchmark: P3B2EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R300600900120015001052.761043.831072.301107.341060.621080.921053.921105.991038.021102.071100.051100.251098.03945.92906.52870.721230.63978.391099.551032.91

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CropEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215SE +/- 0.021, N = 3SE +/- 0.021, N = 3SE +/- 0.045, N = 3SE +/- 0.021, N = 3SE +/- 0.027, N = 3SE +/- 0.031, N = 3SE +/- 0.032, N = 3SE +/- 0.031, N = 3SE +/- 0.023, N = 3SE +/- 0.029, N = 3SE +/- 0.022, N = 3SE +/- 0.034, N = 3SE +/- 0.032, N = 3SE +/- 0.013, N = 3SE +/- 0.034, N = 3SE +/- 0.015, N = 3SE +/- 0.048, N = 3SE +/- 0.015, N = 3SE +/- 0.011, N = 3SE +/- 0.053, N = 310.40410.38410.16010.82010.05210.36510.23310.6339.98310.57210.50510.31010.1428.5878.7069.25212.13310.28810.60110.295
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CropEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R48121620Min: 10.36 / Avg: 10.4 / Max: 10.43Min: 10.35 / Avg: 10.38 / Max: 10.42Min: 10.1 / Avg: 10.16 / Max: 10.25Min: 10.78 / Avg: 10.82 / Max: 10.85Min: 10 / Avg: 10.05 / Max: 10.1Min: 10.31 / Avg: 10.37 / Max: 10.41Min: 10.18 / Avg: 10.23 / Max: 10.29Min: 10.59 / Avg: 10.63 / Max: 10.69Min: 9.94 / Avg: 9.98 / Max: 10.02Min: 10.53 / Avg: 10.57 / Max: 10.63Min: 10.46 / Avg: 10.5 / Max: 10.53Min: 10.26 / Avg: 10.31 / Max: 10.38Min: 10.09 / Avg: 10.14 / Max: 10.2Min: 8.56 / Avg: 8.59 / Max: 8.6Min: 8.64 / Avg: 8.71 / Max: 8.74Min: 9.23 / Avg: 9.25 / Max: 9.28Min: 12.09 / Avg: 12.13 / Max: 12.23Min: 10.26 / Avg: 10.29 / Max: 10.31Min: 10.59 / Avg: 10.6 / Max: 10.62Min: 10.24 / Avg: 10.3 / Max: 10.4

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 1 - Mode: Read OnlyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R5K10K15K20K25KSE +/- 137.01, N = 3SE +/- 103.25, N = 3SE +/- 92.58, N = 3SE +/- 348.84, N = 3SE +/- 141.59, N = 3SE +/- 215.55, N = 3SE +/- 235.87, N = 3SE +/- 96.86, N = 3SE +/- 298.28, N = 3SE +/- 221.45, N = 10SE +/- 180.38, N = 3SE +/- 311.13, N = 4SE +/- 195.08, N = 15SE +/- 113.70, N = 3SE +/- 183.28, N = 3SE +/- 270.77, N = 3SE +/- 100.49, N = 3SE +/- 167.36, N = 3SE +/- 227.83, N = 15SE +/- 159.83, N = 319607232302070521306227432269223150202802397323450226392309723480212902112721045169722184718199208371. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 1 - Mode: Read OnlyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R4K8K12K16K20KMin: 19334.71 / Avg: 19607.37 / Max: 19767.3Min: 23038.03 / Avg: 23230.17 / Max: 23391.76Min: 20538.04 / Avg: 20704.74 / Max: 20857.89Min: 20657.44 / Avg: 21306.03 / Max: 21852.97Min: 22481.63 / Avg: 22742.66 / Max: 22968.25Min: 22374.23 / Avg: 22691.94 / Max: 23103.15Min: 22682.59 / Avg: 23150.17 / Max: 23438.09Min: 20177.79 / Avg: 20280.37 / Max: 20473.98Min: 23414.19 / Avg: 23973.07 / Max: 24433.21Min: 22549.87 / Avg: 23450.11 / Max: 24645.45Min: 22278.71 / Avg: 22639.45 / Max: 22823.9Min: 22465.14 / Avg: 23097.1 / Max: 23890.97Min: 22482.8 / Avg: 23479.62 / Max: 24923.3Min: 21063.19 / Avg: 21289.58 / Max: 21421.19Min: 20930.71 / Avg: 21126.73 / Max: 21493Min: 20547.72 / Avg: 21044.59 / Max: 21479.57Min: 16779.59 / Avg: 16972.27 / Max: 17118.11Min: 21512.85 / Avg: 21847.43 / Max: 22022.61Min: 16405.82 / Avg: 18198.67 / Max: 19332.94Min: 20523.96 / Avg: 20836.5 / Max: 21050.881. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

RawTherapee

RawTherapee is a cross-platform, open-source multi-threaded RAW image processing program. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1632486480SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.11, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.12, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.17, N = 3SE +/- 0.30, N = 372.4959.9358.8359.3654.6254.9753.8057.2752.8256.7858.1458.3660.1361.0552.8651.4166.3370.0359.9358.771. RawTherapee, version 5.8, command line.
OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1428425670Min: 72.37 / Avg: 72.49 / Max: 72.65Min: 59.8 / Avg: 59.93 / Max: 60.03Min: 58.72 / Avg: 58.83 / Max: 58.96Min: 59.28 / Avg: 59.36 / Max: 59.51Min: 54.56 / Avg: 54.62 / Max: 54.71Min: 54.91 / Avg: 54.97 / Max: 55.02Min: 53.76 / Avg: 53.8 / Max: 53.82Min: 57.1 / Avg: 57.27 / Max: 57.49Min: 52.64 / Avg: 52.82 / Max: 52.94Min: 56.67 / Avg: 56.78 / Max: 56.91Min: 58.06 / Avg: 58.14 / Max: 58.22Min: 58.17 / Avg: 58.36 / Max: 58.51Min: 59.99 / Avg: 60.13 / Max: 60.38Min: 61.02 / Avg: 61.05 / Max: 61.08Min: 52.74 / Avg: 52.86 / Max: 53.01Min: 51.38 / Avg: 51.41 / Max: 51.43Min: 66.12 / Avg: 66.33 / Max: 66.48Min: 70 / Avg: 70.03 / Max: 70.08Min: 59.71 / Avg: 59.93 / Max: 60.27Min: 58.47 / Avg: 58.77 / Max: 59.361. RawTherapee, version 5.8, command line.

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 1 - Mode: Read WriteEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R7001400210028003500SE +/- 36.25, N = 3SE +/- 19.16, N = 3SE +/- 31.89, N = 3SE +/- 12.96, N = 3SE +/- 15.96, N = 3SE +/- 13.16, N = 3SE +/- 9.34, N = 3SE +/- 37.57, N = 3SE +/- 28.38, N = 3SE +/- 26.42, N = 3SE +/- 27.23, N = 3SE +/- 17.22, N = 3SE +/- 18.01, N = 3SE +/- 3.64, N = 3SE +/- 1.38, N = 3SE +/- 28.94, N = 3SE +/- 19.38, N = 3SE +/- 21.41, N = 3SE +/- 15.97, N = 3SE +/- 17.77, N = 3256827452680271729142850283526732935287228592845287728912852310322022764254727111. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 1 - Mode: Read WriteEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R5001000150020002500Min: 2506.37 / Avg: 2568.17 / Max: 2631.9Min: 2714.71 / Avg: 2744.76 / Max: 2780.38Min: 2630.77 / Avg: 2680.14 / Max: 2739.79Min: 2695.19 / Avg: 2717.14 / Max: 2740.04Min: 2881.99 / Avg: 2913.86 / Max: 2931.47Min: 2823.33 / Avg: 2849.63 / Max: 2863.69Min: 2817.49 / Avg: 2835.09 / Max: 2849.31Min: 2611.35 / Avg: 2672.99 / Max: 2741.03Min: 2901.28 / Avg: 2935.34 / Max: 2991.69Min: 2824.25 / Avg: 2872.16 / Max: 2915.42Min: 2806.49 / Avg: 2859.08 / Max: 2897.62Min: 2825.52 / Avg: 2845.46 / Max: 2879.74Min: 2840.72 / Avg: 2876.63 / Max: 2897.01Min: 2883.86 / Avg: 2891.13 / Max: 2895.01Min: 2849.66 / Avg: 2851.95 / Max: 2854.42Min: 3062.29 / Avg: 3103.44 / Max: 3159.28Min: 2171.94 / Avg: 2201.51 / Max: 2237.99Min: 2729.32 / Avg: 2764.39 / Max: 2803.19Min: 2515.55 / Avg: 2547.46 / Max: 2564.47Min: 2690.62 / Avg: 2711.44 / Max: 2746.791. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 1 - Mode: Read Write - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R0.10240.20480.30720.40960.512SE +/- 0.005, N = 3SE +/- 0.002, N = 3SE +/- 0.004, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.005, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.003, N = 3SE +/- 0.004, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 30.3900.3640.3730.3680.3430.3510.3530.3740.3410.3480.3500.3510.3480.3460.3510.3230.4550.3620.3930.3691. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 1 - Mode: Read Write - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R12345Min: 0.38 / Avg: 0.39 / Max: 0.4Min: 0.36 / Avg: 0.36 / Max: 0.37Min: 0.37 / Avg: 0.37 / Max: 0.38Min: 0.37 / Avg: 0.37 / Max: 0.37Min: 0.34 / Avg: 0.34 / Max: 0.35Min: 0.35 / Avg: 0.35 / Max: 0.35Min: 0.35 / Avg: 0.35 / Max: 0.36Min: 0.37 / Avg: 0.37 / Max: 0.38Min: 0.33 / Avg: 0.34 / Max: 0.35Min: 0.34 / Avg: 0.35 / Max: 0.35Min: 0.35 / Avg: 0.35 / Max: 0.36Min: 0.35 / Avg: 0.35 / Max: 0.35Min: 0.35 / Avg: 0.35 / Max: 0.35Min: 0.35 / Avg: 0.35 / Max: 0.35Min: 0.35 / Avg: 0.35 / Max: 0.35Min: 0.32 / Avg: 0.32 / Max: 0.33Min: 0.45 / Avg: 0.45 / Max: 0.46Min: 0.36 / Avg: 0.36 / Max: 0.37Min: 0.39 / Avg: 0.39 / Max: 0.4Min: 0.36 / Avg: 0.37 / Max: 0.371. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read WriteEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R8001600240032004000SE +/- 17.06, N = 3SE +/- 22.27, N = 3SE +/- 35.16, N = 3SE +/- 30.14, N = 3SE +/- 12.12, N = 3SE +/- 32.57, N = 3SE +/- 13.96, N = 3SE +/- 40.17, N = 6SE +/- 60.62, N = 3SE +/- 44.26, N = 3SE +/- 31.77, N = 3SE +/- 49.87, N = 3SE +/- 23.47, N = 3SE +/- 7.61, N = 3SE +/- 7.81, N = 3SE +/- 59.00, N = 3SE +/- 12.04, N = 3SE +/- 19.89, N = 3SE +/- 12.29, N = 3SE +/- 25.21, N = 3312636533323337935663581364233453652350935583600365035643544385127373406309634101. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read WriteEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R7001400210028003500Min: 3092.27 / Avg: 3126.06 / Max: 3147.03Min: 3608.15 / Avg: 3652.68 / Max: 3675.87Min: 3261.77 / Avg: 3322.6 / Max: 3383.57Min: 3327.27 / Avg: 3378.61 / Max: 3431.64Min: 3542.2 / Avg: 3565.68 / Max: 3582.65Min: 3520.73 / Avg: 3580.83 / Max: 3632.65Min: 3622.19 / Avg: 3642.31 / Max: 3669.12Min: 3226 / Avg: 3344.74 / Max: 3521.19Min: 3562.25 / Avg: 3652.05 / Max: 3767.49Min: 3461.19 / Avg: 3509.26 / Max: 3597.67Min: 3499.95 / Avg: 3558.37 / Max: 3609.22Min: 3548.08 / Avg: 3600.4 / Max: 3700.1Min: 3603.43 / Avg: 3650.12 / Max: 3677.68Min: 3550.22 / Avg: 3563.8 / Max: 3576.56Min: 3530.38 / Avg: 3543.86 / Max: 3557.44Min: 3737.46 / Avg: 3851.01 / Max: 3935.61Min: 2713.78 / Avg: 2737.43 / Max: 2753.2Min: 3366.45 / Avg: 3405.91 / Max: 3430Min: 3078.31 / Avg: 3096.4 / Max: 3119.84Min: 3374.52 / Avg: 3410.5 / Max: 3459.091. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

AOM AV1

This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 RealtimeEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R816243240SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.14, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.15, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.16, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.35, N = 3SE +/- 0.09, N = 3SE +/- 0.29, N = 3SE +/- 0.23, N = 326.5627.9928.0826.8528.4328.1628.4627.5028.7627.9227.8427.6727.5833.0533.8932.0624.1025.6627.1829.911. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 RealtimeEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R714212835Min: 26.54 / Avg: 26.56 / Max: 26.6Min: 27.8 / Avg: 27.99 / Max: 28.13Min: 27.82 / Avg: 28.08 / Max: 28.27Min: 26.66 / Avg: 26.85 / Max: 26.96Min: 28.25 / Avg: 28.43 / Max: 28.56Min: 28.11 / Avg: 28.16 / Max: 28.2Min: 28.3 / Avg: 28.46 / Max: 28.76Min: 27.33 / Avg: 27.5 / Max: 27.69Min: 28.64 / Avg: 28.76 / Max: 28.84Min: 27.88 / Avg: 27.92 / Max: 27.99Min: 27.65 / Avg: 27.84 / Max: 28.15Min: 27.6 / Avg: 27.67 / Max: 27.72Min: 27.45 / Avg: 27.58 / Max: 27.68Min: 32.88 / Avg: 33.05 / Max: 33.16Min: 33.74 / Avg: 33.89 / Max: 34.08Min: 31.92 / Avg: 32.06 / Max: 32.14Min: 23.4 / Avg: 24.1 / Max: 24.53Min: 25.5 / Avg: 25.66 / Max: 25.81Min: 26.63 / Avg: 27.18 / Max: 27.59Min: 29.53 / Avg: 29.91 / Max: 30.311. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 1 - Mode: Read Only - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R0.01330.02660.03990.05320.0665SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 10SE +/- 0.000, N = 3SE +/- 0.001, N = 4SE +/- 0.000, N = 15SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 15SE +/- 0.000, N = 30.0510.0430.0480.0470.0440.0440.0430.0500.0420.0430.0440.0440.0430.0470.0480.0480.0590.0450.0550.0481. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 1 - Mode: Read Only - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R12345Min: 0.05 / Avg: 0.05 / Max: 0.05Min: 0.04 / Avg: 0.04 / Max: 0.04Min: 0.05 / Avg: 0.05 / Max: 0.05Min: 0.05 / Avg: 0.05 / Max: 0.05Min: 0.04 / Avg: 0.04 / Max: 0.04Min: 0.04 / Avg: 0.04 / Max: 0.05Min: 0.04 / Avg: 0.04 / Max: 0.04Min: 0.05 / Avg: 0.05 / Max: 0.05Min: 0.04 / Avg: 0.04 / Max: 0.04Min: 0.04 / Avg: 0.04 / Max: 0.04Min: 0.04 / Avg: 0.04 / Max: 0.05Min: 0.04 / Avg: 0.04 / Max: 0.05Min: 0.04 / Avg: 0.04 / Max: 0.04Min: 0.05 / Avg: 0.05 / Max: 0.05Min: 0.05 / Avg: 0.05 / Max: 0.05Min: 0.05 / Avg: 0.05 / Max: 0.05Min: 0.06 / Avg: 0.06 / Max: 0.06Min: 0.05 / Avg: 0.05 / Max: 0.05Min: 0.05 / Avg: 0.06 / Max: 0.06Min: 0.05 / Avg: 0.05 / Max: 0.051. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R0.08210.16420.24630.32840.4105SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.001, N = 3SE +/- 0.003, N = 3SE +/- 0.001, N = 3SE +/- 0.004, N = 6SE +/- 0.005, N = 3SE +/- 0.004, N = 3SE +/- 0.003, N = 3SE +/- 0.004, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.004, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 30.3200.2740.3010.2960.2800.2790.2750.2990.2740.2850.2810.2780.2740.2810.2820.2600.3650.2940.3230.2931. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R12345Min: 0.32 / Avg: 0.32 / Max: 0.32Min: 0.27 / Avg: 0.27 / Max: 0.28Min: 0.3 / Avg: 0.3 / Max: 0.31Min: 0.29 / Avg: 0.3 / Max: 0.3Min: 0.28 / Avg: 0.28 / Max: 0.28Min: 0.28 / Avg: 0.28 / Max: 0.28Min: 0.27 / Avg: 0.27 / Max: 0.28Min: 0.28 / Avg: 0.3 / Max: 0.31Min: 0.27 / Avg: 0.27 / Max: 0.28Min: 0.28 / Avg: 0.29 / Max: 0.29Min: 0.28 / Avg: 0.28 / Max: 0.29Min: 0.27 / Avg: 0.28 / Max: 0.28Min: 0.27 / Avg: 0.27 / Max: 0.28Min: 0.28 / Avg: 0.28 / Max: 0.28Min: 0.28 / Avg: 0.28 / Max: 0.28Min: 0.25 / Avg: 0.26 / Max: 0.27Min: 0.36 / Avg: 0.37 / Max: 0.37Min: 0.29 / Avg: 0.29 / Max: 0.3Min: 0.32 / Avg: 0.32 / Max: 0.33Min: 0.29 / Avg: 0.29 / Max: 0.31. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ScaleEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215SE +/- 0.032, N = 3SE +/- 0.036, N = 3SE +/- 0.020, N = 3SE +/- 0.036, N = 3SE +/- 0.026, N = 3SE +/- 0.024, N = 3SE +/- 0.061, N = 3SE +/- 0.027, N = 3SE +/- 0.009, N = 3SE +/- 0.020, N = 3SE +/- 0.028, N = 3SE +/- 0.013, N = 3SE +/- 0.070, N = 3SE +/- 0.034, N = 3SE +/- 0.020, N = 3SE +/- 0.022, N = 3SE +/- 0.063, N = 3SE +/- 0.006, N = 3SE +/- 0.020, N = 3SE +/- 0.039, N = 37.5427.4327.5578.0067.4447.5617.3947.9477.2257.6547.6237.3487.3496.5826.7336.9579.1977.6808.1817.777
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ScaleEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215Min: 7.49 / Avg: 7.54 / Max: 7.6Min: 7.38 / Avg: 7.43 / Max: 7.5Min: 7.52 / Avg: 7.56 / Max: 7.58Min: 7.94 / Avg: 8.01 / Max: 8.05Min: 7.41 / Avg: 7.44 / Max: 7.49Min: 7.53 / Avg: 7.56 / Max: 7.61Min: 7.31 / Avg: 7.39 / Max: 7.51Min: 7.91 / Avg: 7.95 / Max: 8Min: 7.21 / Avg: 7.23 / Max: 7.24Min: 7.63 / Avg: 7.65 / Max: 7.69Min: 7.58 / Avg: 7.62 / Max: 7.68Min: 7.34 / Avg: 7.35 / Max: 7.37Min: 7.23 / Avg: 7.35 / Max: 7.47Min: 6.53 / Avg: 6.58 / Max: 6.65Min: 6.69 / Avg: 6.73 / Max: 6.75Min: 6.92 / Avg: 6.96 / Max: 7Min: 9.08 / Avg: 9.2 / Max: 9.3Min: 7.67 / Avg: 7.68 / Max: 7.69Min: 8.15 / Avg: 8.18 / Max: 8.22Min: 7.72 / Avg: 7.78 / Max: 7.85

Renaissance

Renaissance is a suite of benchmarks designed to test the Java JVM from Apache Spark to a Twitter-like service to Scala and other features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Scala DottyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R5001000150020002500SE +/- 4.09, N = 5SE +/- 7.02, N = 5SE +/- 2.12, N = 5SE +/- 4.60, N = 5SE +/- 5.82, N = 5SE +/- 9.80, N = 5SE +/- 8.93, N = 5SE +/- 11.71, N = 5SE +/- 6.83, N = 5SE +/- 6.15, N = 5SE +/- 6.49, N = 5SE +/- 10.78, N = 5SE +/- 7.96, N = 5SE +/- 5.86, N = 5SE +/- 3.83, N = 5SE +/- 4.09, N = 5SE +/- 10.20, N = 5SE +/- 5.86, N = 5SE +/- 10.33, N = 5SE +/- 9.88, N = 51963.091840.491802.111887.641780.001785.431786.251843.431762.011827.541838.711837.631821.921575.171598.011643.612200.481992.892193.491845.46
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Scala DottyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R400800120016002000Min: 1949.67 / Avg: 1963.09 / Max: 1972.52Min: 1821.78 / Avg: 1840.49 / Max: 1861.9Min: 1794.77 / Avg: 1802.11 / Max: 1807.79Min: 1875.72 / Avg: 1887.64 / Max: 1899.29Min: 1771.68 / Avg: 1780 / Max: 1802.96Min: 1761.02 / Avg: 1785.43 / Max: 1812.16Min: 1767.26 / Avg: 1786.25 / Max: 1808.33Min: 1814.21 / Avg: 1843.43 / Max: 1871.61Min: 1750.8 / Avg: 1762.01 / Max: 1788.05Min: 1810.41 / Avg: 1827.54 / Max: 1846.46Min: 1823.01 / Avg: 1838.71 / Max: 1861.54Min: 1806.07 / Avg: 1837.63 / Max: 1863.6Min: 1806.27 / Avg: 1821.92 / Max: 1850.88Min: 1556.35 / Avg: 1575.17 / Max: 1589.78Min: 1590.06 / Avg: 1598.01 / Max: 1608.27Min: 1636.18 / Avg: 1643.61 / Max: 1658.12Min: 2178.41 / Avg: 2200.48 / Max: 2231.2Min: 1977.13 / Avg: 1992.89 / Max: 2006.88Min: 2165.08 / Avg: 2193.49 / Max: 2228.33Min: 1813.81 / Avg: 1845.46 / Max: 1874.71

Basis Universal

Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 0EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215SE +/- 0.043, N = 3SE +/- 0.021, N = 3SE +/- 0.007, N = 3SE +/- 0.020, N = 3SE +/- 0.023, N = 3SE +/- 0.029, N = 3SE +/- 0.010, N = 3SE +/- 0.008, N = 3SE +/- 0.019, N = 3SE +/- 0.023, N = 3SE +/- 0.012, N = 3SE +/- 0.031, N = 3SE +/- 0.023, N = 3SE +/- 0.017, N = 3SE +/- 0.013, N = 3SE +/- 0.017, N = 3SE +/- 0.012, N = 3SE +/- 0.005, N = 3SE +/- 0.008, N = 3SE +/- 0.018, N = 39.7468.9348.8948.8158.2828.2518.1958.3438.0538.2868.2328.2068.1518.1567.4527.63910.4079.9348.8418.8921. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 0EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215Min: 9.7 / Avg: 9.75 / Max: 9.83Min: 8.9 / Avg: 8.93 / Max: 8.98Min: 8.89 / Avg: 8.89 / Max: 8.91Min: 8.78 / Avg: 8.81 / Max: 8.84Min: 8.26 / Avg: 8.28 / Max: 8.33Min: 8.22 / Avg: 8.25 / Max: 8.31Min: 8.18 / Avg: 8.2 / Max: 8.21Min: 8.33 / Avg: 8.34 / Max: 8.36Min: 8.03 / Avg: 8.05 / Max: 8.09Min: 8.24 / Avg: 8.29 / Max: 8.31Min: 8.21 / Avg: 8.23 / Max: 8.25Min: 8.15 / Avg: 8.21 / Max: 8.26Min: 8.11 / Avg: 8.15 / Max: 8.18Min: 8.12 / Avg: 8.16 / Max: 8.18Min: 7.44 / Avg: 7.45 / Max: 7.48Min: 7.61 / Avg: 7.64 / Max: 7.66Min: 10.38 / Avg: 10.41 / Max: 10.42Min: 9.93 / Avg: 9.93 / Max: 9.94Min: 8.83 / Avg: 8.84 / Max: 8.85Min: 8.87 / Avg: 8.89 / Max: 8.931. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Bullet Physics Engine

This is a benchmark of the Bullet Physics Engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBullet Physics Engine 2.81Test: 3000 FallEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1.20472.40943.61414.81886.0235SE +/- 0.035846, N = 3SE +/- 0.005936, N = 3SE +/- 0.003541, N = 3SE +/- 0.041024, N = 3SE +/- 0.006874, N = 3SE +/- 0.003085, N = 3SE +/- 0.004608, N = 3SE +/- 0.005292, N = 3SE +/- 0.002205, N = 3SE +/- 0.012710, N = 3SE +/- 0.007590, N = 3SE +/- 0.006914, N = 3SE +/- 0.011361, N = 3SE +/- 0.009248, N = 3SE +/- 0.005492, N = 3SE +/- 0.010372, N = 3SE +/- 0.023310, N = 3SE +/- 0.015966, N = 3SE +/- 0.007398, N = 3SE +/- 0.023466, N = 35.3541664.6707124.4812164.7775184.4500684.4165654.4490334.5109404.3628724.4902964.4952524.5161804.4524693.8674403.8364664.2489515.1924424.7573734.3763224.4149761. (CXX) g++ options: -O3 -rdynamic -lglut -lGL -lGLU
OpenBenchmarking.orgSeconds, Fewer Is BetterBullet Physics Engine 2.81Test: 3000 FallEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R246810Min: 5.29 / Avg: 5.35 / Max: 5.42Min: 4.66 / Avg: 4.67 / Max: 4.68Min: 4.48 / Avg: 4.48 / Max: 4.49Min: 4.7 / Avg: 4.78 / Max: 4.82Min: 4.44 / Avg: 4.45 / Max: 4.46Min: 4.41 / Avg: 4.42 / Max: 4.42Min: 4.44 / Avg: 4.45 / Max: 4.46Min: 4.51 / Avg: 4.51 / Max: 4.52Min: 4.36 / Avg: 4.36 / Max: 4.37Min: 4.47 / Avg: 4.49 / Max: 4.51Min: 4.48 / Avg: 4.5 / Max: 4.51Min: 4.51 / Avg: 4.52 / Max: 4.53Min: 4.43 / Avg: 4.45 / Max: 4.47Min: 3.85 / Avg: 3.87 / Max: 3.88Min: 3.83 / Avg: 3.84 / Max: 3.85Min: 4.24 / Avg: 4.25 / Max: 4.27Min: 5.15 / Avg: 5.19 / Max: 5.23Min: 4.73 / Avg: 4.76 / Max: 4.78Min: 4.36 / Avg: 4.38 / Max: 4.39Min: 4.37 / Avg: 4.41 / Max: 4.451. (CXX) g++ options: -O3 -rdynamic -lglut -lGL -lGLU

OpenBenchmarking.orgSeconds, Fewer Is BetterBullet Physics Engine 2.81Test: RaytestsEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R0.72561.45122.17682.90243.628SE +/- 0.002642, N = 3SE +/- 0.003750, N = 3SE +/- 0.003016, N = 3SE +/- 0.002457, N = 3SE +/- 0.002052, N = 3SE +/- 0.003514, N = 3SE +/- 0.001364, N = 3SE +/- 0.001823, N = 3SE +/- 0.000667, N = 3SE +/- 0.006182, N = 3SE +/- 0.001561, N = 3SE +/- 0.002314, N = 3SE +/- 0.001274, N = 3SE +/- 0.006708, N = 3SE +/- 0.001325, N = 3SE +/- 0.004888, N = 3SE +/- 0.006176, N = 3SE +/- 0.003732, N = 3SE +/- 0.026836, N = 8SE +/- 0.004643, N = 32.8390292.8341732.7352402.8685622.6963052.6962172.7098002.7688102.6551802.7404702.7322452.7404982.7151172.3317132.3162622.4495803.2249202.7982472.6986042.6747181. (CXX) g++ options: -O3 -rdynamic -lglut -lGL -lGLU
OpenBenchmarking.orgSeconds, Fewer Is BetterBullet Physics Engine 2.81Test: RaytestsEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R246810Min: 2.83 / Avg: 2.84 / Max: 2.84Min: 2.83 / Avg: 2.83 / Max: 2.84Min: 2.73 / Avg: 2.74 / Max: 2.74Min: 2.86 / Avg: 2.87 / Max: 2.87Min: 2.69 / Avg: 2.7 / Max: 2.7Min: 2.69 / Avg: 2.7 / Max: 2.7Min: 2.71 / Avg: 2.71 / Max: 2.71Min: 2.77 / Avg: 2.77 / Max: 2.77Min: 2.65 / Avg: 2.66 / Max: 2.66Min: 2.73 / Avg: 2.74 / Max: 2.75Min: 2.73 / Avg: 2.73 / Max: 2.73Min: 2.74 / Avg: 2.74 / Max: 2.74Min: 2.71 / Avg: 2.72 / Max: 2.72Min: 2.32 / Avg: 2.33 / Max: 2.34Min: 2.31 / Avg: 2.32 / Max: 2.32Min: 2.44 / Avg: 2.45 / Max: 2.46Min: 3.21 / Avg: 3.22 / Max: 3.23Min: 2.79 / Avg: 2.8 / Max: 2.8Min: 2.63 / Avg: 2.7 / Max: 2.84Min: 2.67 / Avg: 2.67 / Max: 2.681. (CXX) g++ options: -O3 -rdynamic -lglut -lGL -lGLU

GIMP

GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: resizeEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215SE +/- 0.098, N = 3SE +/- 0.005, N = 3SE +/- 0.060, N = 3SE +/- 0.052, N = 3SE +/- 0.026, N = 3SE +/- 0.030, N = 3SE +/- 0.049, N = 3SE +/- 0.040, N = 3SE +/- 0.060, N = 3SE +/- 0.026, N = 3SE +/- 0.010, N = 3SE +/- 0.044, N = 3SE +/- 0.023, N = 3SE +/- 0.033, N = 3SE +/- 0.028, N = 3SE +/- 0.101, N = 7SE +/- 0.104, N = 3SE +/- 0.033, N = 3SE +/- 0.083, N = 3SE +/- 0.052, N = 311.05010.07810.15310.5449.91210.0399.91910.5819.73710.29310.33810.42810.2429.1659.0449.13112.57411.18311.02111.204
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: resizeEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R48121620Min: 10.91 / Avg: 11.05 / Max: 11.24Min: 10.07 / Avg: 10.08 / Max: 10.09Min: 10.06 / Avg: 10.15 / Max: 10.27Min: 10.49 / Avg: 10.54 / Max: 10.65Min: 9.87 / Avg: 9.91 / Max: 9.96Min: 10 / Avg: 10.04 / Max: 10.1Min: 9.83 / Avg: 9.92 / Max: 10Min: 10.53 / Avg: 10.58 / Max: 10.66Min: 9.65 / Avg: 9.74 / Max: 9.85Min: 10.24 / Avg: 10.29 / Max: 10.33Min: 10.32 / Avg: 10.34 / Max: 10.35Min: 10.34 / Avg: 10.43 / Max: 10.48Min: 10.2 / Avg: 10.24 / Max: 10.27Min: 9.11 / Avg: 9.16 / Max: 9.22Min: 8.99 / Avg: 9.04 / Max: 9.07Min: 8.99 / Avg: 9.13 / Max: 9.74Min: 12.4 / Avg: 12.57 / Max: 12.76Min: 11.15 / Avg: 11.18 / Max: 11.25Min: 10.91 / Avg: 11.02 / Max: 11.18Min: 11.14 / Avg: 11.2 / Max: 11.31

SMHasher

SMHasher is a hash function tester. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2020-02-29Hash: wyhashXeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R612182430SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 321.7527.4519.7824.961. (CXX) g++ options: -march=native -O3 -lpthread
OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2020-02-29Hash: wyhashXeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R612182430Min: 21.73 / Avg: 21.75 / Max: 21.76Min: 27.44 / Avg: 27.45 / Max: 27.45Min: 19.77 / Avg: 19.78 / Max: 19.79Min: 24.94 / Avg: 24.96 / Max: 24.981. (CXX) g++ options: -march=native -O3 -lpthread

Perl Benchmarks

Perl benchmark suite that can be used to compare the relative speed of different versions of perl. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: Pod2htmlEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R0.03690.07380.11070.14760.1845SE +/- 0.00032749, N = 3SE +/- 0.00034313, N = 3SE +/- 0.00074092, N = 3SE +/- 0.00270938, N = 3SE +/- 0.00092600, N = 3SE +/- 0.00121635, N = 3SE +/- 0.00218365, N = 4SE +/- 0.00052958, N = 3SE +/- 0.00213584, N = 4SE +/- 0.00111418, N = 3SE +/- 0.00073159, N = 3SE +/- 0.00121073, N = 3SE +/- 0.00157735, N = 3SE +/- 0.00090133, N = 3SE +/- 0.00030324, N = 3SE +/- 0.00157658, N = 3SE +/- 0.00013188, N = 3SE +/- 0.00025762, N = 3SE +/- 0.00019446, N = 3SE +/- 0.00013402, N = 30.157602420.155351280.150367500.163972220.147538800.148153140.152029950.151768940.143910320.150770010.150347870.150992780.147866240.130050080.127355460.132688290.143928340.124735460.118434880.11823201
OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: Pod2htmlEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R12345Min: 0.16 / Avg: 0.16 / Max: 0.16Min: 0.15 / Avg: 0.16 / Max: 0.16Min: 0.15 / Avg: 0.15 / Max: 0.15Min: 0.16 / Avg: 0.16 / Max: 0.17Min: 0.15 / Avg: 0.15 / Max: 0.15Min: 0.15 / Avg: 0.15 / Max: 0.15Min: 0.15 / Avg: 0.15 / Max: 0.16Min: 0.15 / Avg: 0.15 / Max: 0.15Min: 0.14 / Avg: 0.14 / Max: 0.15Min: 0.15 / Avg: 0.15 / Max: 0.15Min: 0.15 / Avg: 0.15 / Max: 0.15Min: 0.15 / Avg: 0.15 / Max: 0.15Min: 0.14 / Avg: 0.15 / Max: 0.15Min: 0.13 / Avg: 0.13 / Max: 0.13Min: 0.13 / Avg: 0.13 / Max: 0.13Min: 0.13 / Avg: 0.13 / Max: 0.14Min: 0.14 / Avg: 0.14 / Max: 0.14Min: 0.12 / Avg: 0.12 / Max: 0.13Min: 0.12 / Avg: 0.12 / Max: 0.12Min: 0.12 / Avg: 0.12 / Max: 0.12

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 1 - Mode: Read Only - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R0.01370.02740.04110.05480.0685SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 4SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 4SE +/- 0.001, N = 30.0540.0450.0510.0490.0460.0440.0450.0520.0450.0450.0460.0460.0460.0490.0490.0490.0610.0480.0560.0481. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 1 - Mode: Read Only - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R12345Min: 0.05 / Avg: 0.05 / Max: 0.06Min: 0.05 / Avg: 0.05 / Max: 0.05Min: 0.05 / Avg: 0.05 / Max: 0.05Min: 0.05 / Avg: 0.05 / Max: 0.05Min: 0.05 / Avg: 0.05 / Max: 0.05Min: 0.04 / Avg: 0.04 / Max: 0.05Min: 0.05 / Avg: 0.05 / Max: 0.05Min: 0.05 / Avg: 0.05 / Max: 0.05Min: 0.04 / Avg: 0.05 / Max: 0.05Min: 0.04 / Avg: 0.05 / Max: 0.05Min: 0.05 / Avg: 0.05 / Max: 0.05Min: 0.05 / Avg: 0.05 / Max: 0.05Min: 0.05 / Avg: 0.05 / Max: 0.05Min: 0.05 / Avg: 0.05 / Max: 0.05Min: 0.05 / Avg: 0.05 / Max: 0.05Min: 0.05 / Avg: 0.05 / Max: 0.05Min: 0.06 / Avg: 0.06 / Max: 0.06Min: 0.05 / Avg: 0.05 / Max: 0.05Min: 0.06 / Avg: 0.06 / Max: 0.06Min: 0.05 / Avg: 0.05 / Max: 0.051. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

SMHasher

SMHasher is a hash function tester. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2020-02-29Hash: fasthash32Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R816243240SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 329.1536.1426.1033.011. (CXX) g++ options: -march=native -O3 -lpthread
OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2020-02-29Hash: fasthash32Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R816243240Min: 29.15 / Avg: 29.15 / Max: 29.16Min: 36.13 / Avg: 36.14 / Max: 36.15Min: 26.09 / Avg: 26.1 / Max: 26.1Min: 33.01 / Avg: 33.01 / Max: 33.011. (CXX) g++ options: -march=native -O3 -lpthread

KeyDB

A benchmark of KeyDB as a multi-threaded fork of the Redis server. The KeyDB benchmark is conducted using memtier-benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R110K220K330K440K550KSE +/- 866.86, N = 3SE +/- 5702.08, N = 3SE +/- 163.65, N = 3SE +/- 1968.81, N = 3SE +/- 1405.58, N = 3SE +/- 1062.02, N = 3SE +/- 1851.69, N = 3SE +/- 775.34, N = 3SE +/- 894.11, N = 3SE +/- 4342.59, N = 7SE +/- 624.20, N = 3SE +/- 4239.95, N = 3SE +/- 3410.42, N = 3SE +/- 1594.87, N = 3SE +/- 228.49, N = 3SE +/- 3714.55, N = 3SE +/- 3322.76, N = 3SE +/- 4788.77, N = 3SE +/- 528.01, N = 3SE +/- 3177.24, N = 3392896.66396399.81395467.10388111.09401582.89409267.14407511.61392401.63412566.04388353.93381667.96378118.38375509.38414532.34424009.46429753.65405255.03519676.16458252.64518611.741. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R90K180K270K360K450KMin: 391575.63 / Avg: 392896.66 / Max: 394529.54Min: 386344.47 / Avg: 396399.81 / Max: 406086.74Min: 395226.4 / Avg: 395467.1 / Max: 395779.53Min: 384323.04 / Avg: 388111.09 / Max: 390936.05Min: 399456.17 / Avg: 401582.89 / Max: 404238.35Min: 407505.43 / Avg: 409267.14 / Max: 411175.58Min: 404800.22 / Avg: 407511.61 / Max: 411051.91Min: 390868.32 / Avg: 392401.63 / Max: 393368.67Min: 411317.97 / Avg: 412566.04 / Max: 414299.14Min: 375060.11 / Avg: 388353.93 / Max: 407696.35Min: 380946.41 / Avg: 381667.96 / Max: 382911Min: 369640.72 / Avg: 378118.38 / Max: 382526.37Min: 369830.03 / Avg: 375509.38 / Max: 381620.4Min: 411360.53 / Avg: 414532.34 / Max: 416410.71Min: 423604.94 / Avg: 424009.46 / Max: 424395.83Min: 422340.89 / Avg: 429753.65 / Max: 433886.45Min: 400532.33 / Avg: 405255.03 / Max: 411665.36Min: 514621.66 / Avg: 519676.16 / Max: 529248.7Min: 457198.18 / Avg: 458252.64 / Max: 458829.41Min: 512571.57 / Avg: 518611.74 / Max: 523341.161. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

SMHasher

SMHasher is a hash function tester. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2020-02-29Hash: t1ha2_atonceXeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R816243240SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 328.8435.8125.8933.071. (CXX) g++ options: -march=native -O3 -lpthread
OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2020-02-29Hash: t1ha2_atonceXeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R816243240Min: 28.83 / Avg: 28.84 / Max: 28.84Min: 35.8 / Avg: 35.81 / Max: 35.81Min: 25.86 / Avg: 25.89 / Max: 25.91Min: 33.07 / Avg: 33.07 / Max: 33.081. (CXX) g++ options: -march=native -O3 -lpthread

FFTW

FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 1D FFT Size 4096EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R2K4K6K8K10KSE +/- 12.66, N = 3SE +/- 17.03, N = 3SE +/- 45.24, N = 3SE +/- 10.11, N = 3SE +/- 16.43, N = 3SE +/- 8.47, N = 3SE +/- 2.98, N = 3SE +/- 6.46, N = 3SE +/- 8.69, N = 3SE +/- 4.22, N = 3SE +/- 10.39, N = 3SE +/- 3.40, N = 3SE +/- 42.92, N = 3SE +/- 8.20, N = 3SE +/- 14.12, N = 3SE +/- 3.40, N = 3SE +/- 20.29, N = 3SE +/- 45.82, N = 3SE +/- 26.52, N = 3SE +/- 24.94, N = 36485.86480.96648.86365.76787.66773.06787.96689.96880.46686.36680.96679.46674.87878.37899.67482.15726.46609.56953.86997.81. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 1D FFT Size 4096EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R14002800420056007000Min: 6460.7 / Avg: 6485.83 / Max: 6501.1Min: 6450.1 / Avg: 6480.9 / Max: 6508.9Min: 6558.4 / Avg: 6648.77 / Max: 6697.7Min: 6350.8 / Avg: 6365.73 / Max: 6385Min: 6754.8 / Avg: 6787.57 / Max: 6806Min: 6757.4 / Avg: 6773.03 / Max: 6786.5Min: 6782.5 / Avg: 6787.9 / Max: 6792.8Min: 6677.1 / Avg: 6689.87 / Max: 6698Min: 6871 / Avg: 6880.43 / Max: 6897.8Min: 6678.5 / Avg: 6686.27 / Max: 6693Min: 6660.1 / Avg: 6680.87 / Max: 6692Min: 6672.8 / Avg: 6679.4 / Max: 6684.1Min: 6625.4 / Avg: 6674.8 / Max: 6760.3Min: 7861.9 / Avg: 7878.3 / Max: 7886.5Min: 7873.7 / Avg: 7899.6 / Max: 7922.3Min: 7476.9 / Avg: 7482.1 / Max: 7488.5Min: 5693.6 / Avg: 5726.4 / Max: 5763.5Min: 6519 / Avg: 6609.53 / Max: 6667.1Min: 6917.1 / Avg: 6953.77 / Max: 7005.3Min: 6954.6 / Avg: 6997.83 / Max: 70411. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

SMHasher

SMHasher is a hash function tester. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2020-02-29Hash: Spooky32Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1020304050SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.14, N = 3SE +/- 0.00, N = 337.0945.8633.3141.991. (CXX) g++ options: -march=native -O3 -lpthread
OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2020-02-29Hash: Spooky32Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R918273645Min: 37.04 / Avg: 37.09 / Max: 37.18Min: 45.85 / Avg: 45.86 / Max: 45.87Min: 33.16 / Avg: 33.31 / Max: 33.59Min: 41.99 / Avg: 41.99 / Max: 41.991. (CXX) g++ options: -march=native -O3 -lpthread

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2020-02-29Hash: MeowHashXeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1326395265SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 347.4858.4942.4854.511. (CXX) g++ options: -march=native -O3 -lpthread
OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2020-02-29Hash: MeowHashXeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1224364860Min: 47.48 / Avg: 47.48 / Max: 47.48Min: 58.48 / Avg: 58.49 / Max: 58.49Min: 42.48 / Avg: 42.48 / Max: 42.48Min: 54.5 / Avg: 54.51 / Max: 54.521. (CXX) g++ options: -march=native -O3 -lpthread

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 1 - Mode: Read OnlyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R5K10K15K20K25KSE +/- 205.26, N = 3SE +/- 89.85, N = 3SE +/- 162.08, N = 3SE +/- 259.08, N = 3SE +/- 118.63, N = 3SE +/- 379.01, N = 3SE +/- 159.06, N = 3SE +/- 184.41, N = 3SE +/- 176.46, N = 3SE +/- 348.99, N = 3SE +/- 89.99, N = 3SE +/- 103.27, N = 3SE +/- 206.48, N = 3SE +/- 93.22, N = 3SE +/- 40.49, N = 3SE +/- 285.19, N = 4SE +/- 136.82, N = 3SE +/- 44.56, N = 3SE +/- 247.71, N = 4SE +/- 259.78, N = 318592221801962820319219832254422181194322221822073218272192121786204882046920394163902103017871206641. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 1 - Mode: Read OnlyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R4K8K12K16K20KMin: 18182.08 / Avg: 18591.87 / Max: 18817.89Min: 22003.76 / Avg: 22179.9 / Max: 22298.85Min: 19360.7 / Avg: 19628.5 / Max: 19920.57Min: 19805.7 / Avg: 20318.57 / Max: 20639.03Min: 21821.23 / Avg: 21983.11 / Max: 22214.27Min: 21988.7 / Avg: 22543.58 / Max: 23268.26Min: 21867.11 / Avg: 22181.49 / Max: 22380.89Min: 19156.62 / Avg: 19432.42 / Max: 19782.39Min: 21966.52 / Avg: 22218.05 / Max: 22558.21Min: 21597.21 / Avg: 22073.2 / Max: 22753.29Min: 21648.3 / Avg: 21827.19 / Max: 21933.74Min: 21791.82 / Avg: 21920.87 / Max: 22125.05Min: 21391.67 / Avg: 21786.32 / Max: 22088.94Min: 20323.51 / Avg: 20487.99 / Max: 20646.25Min: 20410.79 / Avg: 20468.57 / Max: 20546.61Min: 19799.7 / Avg: 20393.53 / Max: 21057.77Min: 16198.43 / Avg: 16390.49 / Max: 16655.33Min: 20968.48 / Avg: 21029.97 / Max: 21116.59Min: 17168.43 / Avg: 17870.61 / Max: 18333.21Min: 20249.99 / Avg: 20664.43 / Max: 211431. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

SMHasher

SMHasher is a hash function tester. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2020-02-29Hash: Spooky32Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R4K8K12K16K20KSE +/- 2.32, N = 3SE +/- 0.94, N = 3SE +/- 1.11, N = 3SE +/- 0.11, N = 317692.2114319.5719688.2315615.351. (CXX) g++ options: -march=native -O3 -lpthread
OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2020-02-29Hash: Spooky32Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3K6K9K12K15KMin: 17689.06 / Avg: 17692.21 / Max: 17696.74Min: 14318.19 / Avg: 14319.57 / Max: 14321.37Min: 19686.65 / Avg: 19688.23 / Max: 19690.38Min: 15615.15 / Avg: 15615.35 / Max: 15615.511. (CXX) g++ options: -march=native -O3 -lpthread

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2020-02-29Hash: t1ha2_atonceXeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R4K8K12K16K20KSE +/- 0.11, N = 3SE +/- 0.01, N = 3SE +/- 0.10, N = 3SE +/- 0.73, N = 317411.7914092.8519375.5515365.671. (CXX) g++ options: -march=native -O3 -lpthread
OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2020-02-29Hash: t1ha2_atonceXeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3K6K9K12K15KMin: 17411.62 / Avg: 17411.79 / Max: 17411.99Min: 14092.83 / Avg: 14092.85 / Max: 14092.86Min: 19375.35 / Avg: 19375.55 / Max: 19375.69Min: 15364.24 / Avg: 15365.67 / Max: 15366.651. (CXX) g++ options: -march=native -O3 -lpthread

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2020-02-29Hash: fasthash32Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R2K4K6K8K10KSE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.10, N = 3SE +/- 0.00, N = 38714.647053.429697.347690.831. (CXX) g++ options: -march=native -O3 -lpthread
OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2020-02-29Hash: fasthash32Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R2K4K6K8K10KMin: 8714.64 / Avg: 8714.64 / Max: 8714.65Min: 7053.41 / Avg: 7053.42 / Max: 7053.42Min: 9697.13 / Avg: 9697.34 / Max: 9697.46Min: 7690.82 / Avg: 7690.83 / Max: 7690.831. (CXX) g++ options: -march=native -O3 -lpthread

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2020-02-29Hash: wyhashXeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R5K10K15K20K25KSE +/- 2.97, N = 3SE +/- 1.22, N = 3SE +/- 1.43, N = 3SE +/- 6.00, N = 322021.5917823.6224504.2719445.251. (CXX) g++ options: -march=native -O3 -lpthread
OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2020-02-29Hash: wyhashXeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R4K8K12K16K20KMin: 22016.6 / Avg: 22021.59 / Max: 22026.88Min: 17821.87 / Avg: 17823.62 / Max: 17825.96Min: 24502.59 / Avg: 24504.27 / Max: 24507.12Min: 19433.58 / Avg: 19445.25 / Max: 19453.521. (CXX) g++ options: -march=native -O3 -lpthread

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2020-02-29Hash: MeowHashXeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R11K22K33K44K55KSE +/- 6.38, N = 3SE +/- 4.20, N = 3SE +/- 9.61, N = 3SE +/- 3.76, N = 347405.4038374.5552754.1241839.911. (CXX) g++ options: -march=native -O3 -lpthread
OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2020-02-29Hash: MeowHashXeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R9K18K27K36K45KMin: 47394.25 / Avg: 47405.4 / Max: 47416.36Min: 38368.38 / Avg: 38374.55 / Max: 38382.58Min: 52734.95 / Avg: 52754.12 / Max: 52765.02Min: 41836.14 / Avg: 41839.91 / Max: 41847.441. (CXX) g++ options: -march=native -O3 -lpthread

ECP-CANDLE

The CANDLE benchmark codes implement deep learning architectures relevant to problems in cancer. These architectures address problems at different biological scales, specifically problems at the molecular, cellular and population scales. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterECP-CANDLE 0.3Benchmark: P3B1EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R2004006008001000796.72713.90679.00699.94672.93694.08682.90737.06667.86725.77734.24755.11770.65762.90699.50619.74779.04739.28630.69580.27

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R816243240SE +/- 0.06, N = 3SE +/- 0.24, N = 3SE +/- 0.04, N = 3SE +/- 0.16, N = 3SE +/- 0.19, N = 3SE +/- 0.26, N = 3SE +/- 0.24, N = 3SE +/- 0.34, N = 3SE +/- 0.21, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.11, N = 3SE +/- 0.04, N = 3SE +/- 0.18, N = 3SE +/- 0.24, N = 3SE +/- 0.30, N = 3SE +/- 0.05, N = 3SE +/- 0.44, N = 3SE +/- 0.16, N = 3SE +/- 0.02, N = 328.1627.6128.4628.7127.1127.0026.9627.8426.5727.1326.7727.0926.6625.3224.7625.2133.9931.8029.0130.72
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R714212835Min: 28.08 / Avg: 28.16 / Max: 28.28Min: 27.34 / Avg: 27.61 / Max: 28.08Min: 28.39 / Avg: 28.46 / Max: 28.52Min: 28.39 / Avg: 28.71 / Max: 28.87Min: 26.81 / Avg: 27.11 / Max: 27.46Min: 26.69 / Avg: 27 / Max: 27.52Min: 26.7 / Avg: 26.96 / Max: 27.44Min: 27.29 / Avg: 27.84 / Max: 28.45Min: 26.21 / Avg: 26.57 / Max: 26.95Min: 27.12 / Avg: 27.13 / Max: 27.15Min: 26.73 / Avg: 26.77 / Max: 26.81Min: 26.96 / Avg: 27.09 / Max: 27.3Min: 26.6 / Avg: 26.66 / Max: 26.73Min: 24.99 / Avg: 25.32 / Max: 25.62Min: 24.28 / Avg: 24.76 / Max: 25.03Min: 24.89 / Avg: 25.21 / Max: 25.82Min: 33.91 / Avg: 33.99 / Max: 34.07Min: 31.01 / Avg: 31.8 / Max: 32.55Min: 28.7 / Avg: 29.01 / Max: 29.24Min: 30.68 / Avg: 30.72 / Max: 30.76

Bullet Physics Engine

This is a benchmark of the Bullet Physics Engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBullet Physics Engine 2.81Test: 136 RagdollsEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R0.74461.48922.23382.97843.723SE +/- 0.016890, N = 3SE +/- 0.003332, N = 3SE +/- 0.004096, N = 3SE +/- 0.001591, N = 3SE +/- 0.000361, N = 3SE +/- 0.002802, N = 3SE +/- 0.001660, N = 3SE +/- 0.000645, N = 3SE +/- 0.001339, N = 3SE +/- 0.002139, N = 3SE +/- 0.003031, N = 3SE +/- 0.024969, N = 3SE +/- 0.002876, N = 3SE +/- 0.002402, N = 3SE +/- 0.000813, N = 3SE +/- 0.007796, N = 3SE +/- 0.008323, N = 3SE +/- 0.002060, N = 3SE +/- 0.014108, N = 3SE +/- 0.004404, N = 33.2221672.9366012.8445412.9805622.8013772.8026752.8267912.8536502.7582052.8479562.8425802.8794422.8124042.4408832.4148502.5709083.3093592.8915852.7887582.7943951. (CXX) g++ options: -O3 -rdynamic -lglut -lGL -lGLU
OpenBenchmarking.orgSeconds, Fewer Is BetterBullet Physics Engine 2.81Test: 136 RagdollsEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R246810Min: 3.19 / Avg: 3.22 / Max: 3.25Min: 2.93 / Avg: 2.94 / Max: 2.94Min: 2.84 / Avg: 2.84 / Max: 2.85Min: 2.98 / Avg: 2.98 / Max: 2.98Min: 2.8 / Avg: 2.8 / Max: 2.8Min: 2.8 / Avg: 2.8 / Max: 2.81Min: 2.82 / Avg: 2.83 / Max: 2.83Min: 2.85 / Avg: 2.85 / Max: 2.85Min: 2.76 / Avg: 2.76 / Max: 2.76Min: 2.85 / Avg: 2.85 / Max: 2.85Min: 2.84 / Avg: 2.84 / Max: 2.85Min: 2.85 / Avg: 2.88 / Max: 2.93Min: 2.81 / Avg: 2.81 / Max: 2.82Min: 2.44 / Avg: 2.44 / Max: 2.44Min: 2.41 / Avg: 2.41 / Max: 2.42Min: 2.56 / Avg: 2.57 / Max: 2.59Min: 3.29 / Avg: 3.31 / Max: 3.32Min: 2.89 / Avg: 2.89 / Max: 2.89Min: 2.77 / Avg: 2.79 / Max: 2.82Min: 2.79 / Avg: 2.79 / Max: 2.81. (CXX) g++ options: -O3 -rdynamic -lglut -lGL -lGLU

librsvg

RSVG/librsvg is an SVG vector graphics library. This test profile times how long it takes to complete various operations by rsvg-convert. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterlibrsvgOperation: SVG Files To PNGEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R816243240SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.16, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.29, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.48, N = 4SE +/- 0.36, N = 5SE +/- 0.24, N = 3SE +/- 0.08, N = 333.5632.9432.0033.8232.4632.9732.7432.4432.4033.2633.2833.6633.5424.7224.8026.2632.2128.0326.8627.291. EPYC 7232P: rsvg-convert version 2.50.12. EPYC 7282: rsvg-convert version 2.50.13. EPYC 7302P: rsvg-convert version 2.50.14. EPYC 7352: rsvg-convert version 2.50.15. EPYC 7402P: rsvg-convert version 2.50.16. EPYC 7452: rsvg-convert version 2.50.17. EPYC 7502P: rsvg-convert version 2.50.18. EPYC 7532: rsvg-convert version 2.50.19. EPYC 7542: rsvg-convert version 2.50.110. EPYC 7552: rsvg-convert version 2.50.111. EPYC 7642: rsvg-convert version 2.50.112. EPYC 7662: rsvg-convert version 2.50.113. EPYC 7702: rsvg-convert version 2.50.114. EPYC 7F32: rsvg-convert version 2.50.115. EPYC 7F52: rsvg-convert version 2.50.116. EPYC 7F72: rsvg-convert version 2.50.017. Xeon Silver 4216: rsvg-convert version 2.50.018. Xeon Gold 5217: rsvg-convert version 2.49.519. Xeon Gold 5218: rsvg-convert version 2.49.520. Xeon Gold 6226R: rsvg-convert version 2.49.5
OpenBenchmarking.orgSeconds, Fewer Is BetterlibrsvgOperation: SVG Files To PNGEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R714212835Min: 33.41 / Avg: 33.56 / Max: 33.74Min: 32.89 / Avg: 32.94 / Max: 32.99Min: 31.69 / Avg: 32 / Max: 32.17Min: 33.74 / Avg: 33.82 / Max: 33.87Min: 32.35 / Avg: 32.46 / Max: 32.55Min: 32.85 / Avg: 32.97 / Max: 33.11Min: 32.59 / Avg: 32.74 / Max: 32.84Min: 31.88 / Avg: 32.44 / Max: 32.87Min: 32.37 / Avg: 32.4 / Max: 32.44Min: 33.22 / Avg: 33.26 / Max: 33.31Min: 33.22 / Avg: 33.27 / Max: 33.33Min: 33.55 / Avg: 33.66 / Max: 33.79Min: 33.49 / Avg: 33.54 / Max: 33.6Min: 24.65 / Avg: 24.72 / Max: 24.81Min: 24.68 / Avg: 24.8 / Max: 24.99Min: 26.19 / Avg: 26.26 / Max: 26.33Min: 31.52 / Avg: 32.21 / Max: 33.64Min: 27.08 / Avg: 28.03 / Max: 29.02Min: 26.49 / Avg: 26.86 / Max: 27.31Min: 27.18 / Avg: 27.29 / Max: 27.451. EPYC 7232P: rsvg-convert version 2.50.12. EPYC 7282: rsvg-convert version 2.50.13. EPYC 7302P: rsvg-convert version 2.50.14. EPYC 7352: rsvg-convert version 2.50.15. EPYC 7402P: rsvg-convert version 2.50.16. EPYC 7452: rsvg-convert version 2.50.17. EPYC 7502P: rsvg-convert version 2.50.18. EPYC 7532: rsvg-convert version 2.50.19. EPYC 7542: rsvg-convert version 2.50.110. EPYC 7552: rsvg-convert version 2.50.111. EPYC 7642: rsvg-convert version 2.50.112. EPYC 7662: rsvg-convert version 2.50.113. EPYC 7702: rsvg-convert version 2.50.114. EPYC 7F32: rsvg-convert version 2.50.115. EPYC 7F52: rsvg-convert version 2.50.116. EPYC 7F72: rsvg-convert version 2.50.017. Xeon Silver 4216: rsvg-convert version 2.50.018. Xeon Gold 5217: rsvg-convert version 2.49.519. Xeon Gold 5218: rsvg-convert version 2.49.520. Xeon Gold 6226R: rsvg-convert version 2.49.5

SMHasher

SMHasher is a hash function tester. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2020-02-29Hash: t1ha0_aes_avx2Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R816243240SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 329.1036.0626.3633.071. (CXX) g++ options: -march=native -O3 -lpthread
OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2020-02-29Hash: t1ha0_aes_avx2Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R816243240Min: 29.1 / Avg: 29.1 / Max: 29.11Min: 36.04 / Avg: 36.06 / Max: 36.09Min: 26.36 / Avg: 26.36 / Max: 26.37Min: 33.07 / Avg: 33.07 / Max: 33.071. (CXX) g++ options: -march=native -O3 -lpthread

Hierarchical INTegration

This test runs the U.S. Department of Energy's Ames Laboratory Hierarchical INTegration (HINT) benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R80M160M240M320M400MSE +/- 656575.68, N = 3SE +/- 178481.76, N = 3SE +/- 122611.09, N = 3SE +/- 159242.75, N = 3SE +/- 115844.25, N = 3SE +/- 3735800.36, N = 3SE +/- 249228.70, N = 3SE +/- 208309.65, N = 3SE +/- 606796.66, N = 3SE +/- 149246.40, N = 3SE +/- 326600.42, N = 3SE +/- 128106.17, N = 3SE +/- 259915.46, N = 3SE +/- 957923.37, N = 3SE +/- 134083.43, N = 3SE +/- 474278.12, N = 3SE +/- 1426777.87, N = 3SE +/- 813784.57, N = 3SE +/- 637212.02, N = 3SE +/- 731246.36, N = 3276849835.77278269504.20287328501.00274090977.81291468543.97288397184.91291736111.66287157431.51295999448.27287471325.10286220634.19286590944.39291064294.15338683643.76338580247.88321630965.00306738823.74355484006.17374717432.49356059661.831. (CC) gcc options: -O3 -march=native -lm
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R60M120M180M240M300MMin: 275537498.15 / Avg: 276849835.77 / Max: 277546034Min: 277913646.4 / Avg: 278269504.2 / Max: 278471746.39Min: 287105172.58 / Avg: 287328501 / Max: 287527879.24Min: 273773069.3 / Avg: 274090977.81 / Max: 274266527.11Min: 291286695.38 / Avg: 291468543.97 / Max: 291683798.43Min: 280926056.63 / Avg: 288397184.91 / Max: 292205513Min: 291245765.71 / Avg: 291736111.66 / Max: 292058844.08Min: 286871915.18 / Avg: 287157431.51 / Max: 287562942.5Min: 294785978.57 / Avg: 295999448.27 / Max: 296621183.85Min: 287202473.29 / Avg: 287471325.1 / Max: 287718056.37Min: 285672800.09 / Avg: 286220634.19 / Max: 286802628.92Min: 286355086.15 / Avg: 286590944.39 / Max: 286795543.79Min: 290575870.86 / Avg: 291064294.15 / Max: 291462616.67Min: 336869842.29 / Avg: 338683643.76 / Max: 340124814.79Min: 338327615.57 / Avg: 338580247.88 / Max: 338784460.06Min: 320981498.89 / Avg: 321630965 / Max: 322554417.13Min: 303892437.15 / Avg: 306738823.74 / Max: 308337082.11Min: 354152418.63 / Avg: 355484006.17 / Max: 356960288.66Min: 373462261.96 / Avg: 374717432.49 / Max: 375536139.96Min: 354891248.09 / Avg: 356059661.83 / Max: 357405623.721. (CC) gcc options: -O3 -march=native -lm

libjpeg-turbo tjbench

tjbench is a JPEG decompression/compression benchmark part of libjpeg-turbo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMegapixels/sec, More Is Betterlibjpeg-turbo tjbench 2.0.2Test: Decompression ThroughputEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R4080120160200SE +/- 0.03, N = 3SE +/- 0.13, N = 3SE +/- 0.14, N = 3SE +/- 0.12, N = 3SE +/- 0.27, N = 3SE +/- 0.16, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.16, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.19, N = 3SE +/- 0.30, N = 3SE +/- 0.72, N = 3SE +/- 0.81, N = 3163.28163.10168.05160.53170.56170.62170.79167.80173.39168.19168.31168.10170.25197.43198.33188.50145.16168.14176.22176.121. (CC) gcc options: -O3 -rdynamic
OpenBenchmarking.orgMegapixels/sec, More Is Betterlibjpeg-turbo tjbench 2.0.2Test: Decompression ThroughputEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R4080120160200Min: 163.24 / Avg: 163.28 / Max: 163.35Min: 162.9 / Avg: 163.1 / Max: 163.34Min: 167.79 / Avg: 168.05 / Max: 168.26Min: 160.29 / Avg: 160.53 / Max: 160.67Min: 170.01 / Avg: 170.56 / Max: 170.85Min: 170.44 / Avg: 170.62 / Max: 170.93Min: 170.66 / Avg: 170.79 / Max: 170.86Min: 167.71 / Avg: 167.8 / Max: 167.95Min: 173.33 / Avg: 173.39 / Max: 173.45Min: 168.03 / Avg: 168.19 / Max: 168.29Min: 168.27 / Avg: 168.31 / Max: 168.36Min: 167.92 / Avg: 168.1 / Max: 168.25Min: 170.14 / Avg: 170.25 / Max: 170.31Min: 197.12 / Avg: 197.43 / Max: 197.67Min: 198.25 / Avg: 198.33 / Max: 198.45Min: 188.45 / Avg: 188.5 / Max: 188.55Min: 144.79 / Avg: 145.16 / Max: 145.43Min: 167.56 / Avg: 168.14 / Max: 168.59Min: 174.81 / Avg: 176.22 / Max: 177.2Min: 174.51 / Avg: 176.12 / Max: 177.151. (CC) gcc options: -O3 -rdynamic

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Tile GlassEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1020304050SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 336.7337.0436.5339.2036.7937.5637.2538.6536.6737.9538.2837.6737.4430.7631.8634.1641.9234.3434.4535.99
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Tile GlassEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R918273645Min: 36.7 / Avg: 36.73 / Max: 36.75Min: 37.01 / Avg: 37.04 / Max: 37.1Min: 36.5 / Avg: 36.53 / Max: 36.56Min: 39.17 / Avg: 39.2 / Max: 39.22Min: 36.73 / Avg: 36.79 / Max: 36.85Min: 37.54 / Avg: 37.56 / Max: 37.59Min: 37.21 / Avg: 37.25 / Max: 37.31Min: 38.55 / Avg: 38.65 / Max: 38.73Min: 36.61 / Avg: 36.67 / Max: 36.71Min: 37.93 / Avg: 37.94 / Max: 37.96Min: 38.26 / Avg: 38.28 / Max: 38.32Min: 37.64 / Avg: 37.67 / Max: 37.7Min: 37.39 / Avg: 37.44 / Max: 37.51Min: 30.72 / Avg: 30.76 / Max: 30.79Min: 31.81 / Avg: 31.86 / Max: 31.94Min: 34.11 / Avg: 34.16 / Max: 34.24Min: 41.76 / Avg: 41.92 / Max: 42.09Min: 34.3 / Avg: 34.34 / Max: 34.38Min: 34.42 / Avg: 34.45 / Max: 34.49Min: 35.9 / Avg: 35.99 / Max: 36.08

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: DefaultEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R0.46780.93561.40341.87122.339SE +/- 0.001, N = 3SE +/- 0.003, N = 3SE +/- 0.002, N = 3SE +/- 0.006, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.002, N = 3SE +/- 0.004, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.006, N = 3SE +/- 0.009, N = 3SE +/- 0.005, N = 3SE +/- 0.003, N = 3SE +/- 0.004, N = 3SE +/- 0.004, N = 3SE +/- 0.004, N = 3SE +/- 0.003, N = 3SE +/- 0.012, N = 31.8541.8491.8001.8941.7731.7781.7761.8021.7451.7991.8021.8121.7921.5381.5281.9222.0791.7681.7081.6971. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R246810Min: 1.85 / Avg: 1.85 / Max: 1.86Min: 1.84 / Avg: 1.85 / Max: 1.85Min: 1.8 / Avg: 1.8 / Max: 1.8Min: 1.88 / Avg: 1.89 / Max: 1.9Min: 1.77 / Avg: 1.77 / Max: 1.78Min: 1.77 / Avg: 1.78 / Max: 1.78Min: 1.77 / Avg: 1.78 / Max: 1.78Min: 1.79 / Avg: 1.8 / Max: 1.81Min: 1.75 / Avg: 1.75 / Max: 1.75Min: 1.8 / Avg: 1.8 / Max: 1.8Min: 1.8 / Avg: 1.8 / Max: 1.8Min: 1.8 / Avg: 1.81 / Max: 1.82Min: 1.78 / Avg: 1.79 / Max: 1.81Min: 1.53 / Avg: 1.54 / Max: 1.55Min: 1.52 / Avg: 1.53 / Max: 1.53Min: 1.91 / Avg: 1.92 / Max: 1.93Min: 2.07 / Avg: 2.08 / Max: 2.09Min: 1.76 / Avg: 1.77 / Max: 1.78Min: 1.7 / Avg: 1.71 / Max: 1.71Min: 1.68 / Avg: 1.7 / Max: 1.721. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

SciMark

This test runs the ANSI C version of SciMark 2.0, which is a benchmark for scientific and numerical computing developed by programmers at the National Institute of Standards and Technology. This test is made up of Fast Foruier Transform, Jacobi Successive Over-relaxation, Monte Carlo, Sparse Matrix Multiply, and dense LU matrix factorization benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Dense LU Matrix FactorizationEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R2004006008001000SE +/- 15.59, N = 3SE +/- 21.34, N = 3SE +/- 11.51, N = 3SE +/- 8.50, N = 3SE +/- 4.03, N = 3SE +/- 10.86, N = 3SE +/- 7.47, N = 3SE +/- 38.98, N = 3SE +/- 8.39, N = 3SE +/- 8.36, N = 3SE +/- 5.88, N = 3SE +/- 5.69, N = 3SE +/- 10.78, N = 3SE +/- 17.92, N = 3SE +/- 16.69, N = 3SE +/- 11.47, N = 3SE +/- 0.17, N = 3SE +/- 0.37, N = 3SE +/- 0.35, N = 3SE +/- 0.76, N = 3725.40713.64757.12726.84766.08769.74767.66652.80752.97770.26748.18762.29768.64847.88887.80851.93727.77838.60884.48883.161. (CC) gcc options: -lm
OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Dense LU Matrix FactorizationEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R160320480640800Min: 698.44 / Avg: 725.4 / Max: 752.43Min: 678.71 / Avg: 713.64 / Max: 752.34Min: 743.57 / Avg: 757.12 / Max: 780.02Min: 713.59 / Avg: 726.84 / Max: 742.7Min: 758.09 / Avg: 766.08 / Max: 770.97Min: 750.01 / Avg: 769.74 / Max: 787.46Min: 753.77 / Avg: 767.66 / Max: 779.38Min: 612.21 / Avg: 652.8 / Max: 730.74Min: 742.18 / Avg: 752.97 / Max: 769.49Min: 757.87 / Avg: 770.26 / Max: 786.18Min: 741.69 / Avg: 748.18 / Max: 759.91Min: 751.02 / Avg: 762.29 / Max: 769.3Min: 747.43 / Avg: 768.64 / Max: 782.6Min: 813.32 / Avg: 847.88 / Max: 873.38Min: 861.26 / Avg: 887.8 / Max: 918.59Min: 833.91 / Avg: 851.93 / Max: 873.23Min: 727.59 / Avg: 727.77 / Max: 728.11Min: 837.86 / Avg: 838.6 / Max: 839.02Min: 883.8 / Avg: 884.48 / Max: 884.97Min: 882.3 / Avg: 883.16 / Max: 884.681. (CC) gcc options: -lm

Bullet Physics Engine

This is a benchmark of the Bullet Physics Engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBullet Physics Engine 2.81Test: 1000 ConvexEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1.272.543.815.086.35SE +/- 0.007223, N = 3SE +/- 0.003474, N = 3SE +/- 0.002894, N = 3SE +/- 0.002824, N = 3SE +/- 0.000683, N = 3SE +/- 0.004633, N = 3SE +/- 0.008226, N = 3SE +/- 0.012064, N = 3SE +/- 0.000419, N = 3SE +/- 0.002361, N = 3SE +/- 0.004061, N = 3SE +/- 0.000840, N = 3SE +/- 0.003424, N = 3SE +/- 0.011665, N = 3SE +/- 0.000994, N = 3SE +/- 0.003840, N = 3SE +/- 0.009228, N = 3SE +/- 0.014411, N = 3SE +/- 0.070120, N = 3SE +/- 0.008176, N = 35.2242255.0567684.8968665.1437614.8318734.8394034.8521514.9286254.7517264.9126864.9002394.9062074.8505384.1750564.1543324.3947985.6444744.9136154.7473454.7062191. (CXX) g++ options: -O3 -rdynamic -lglut -lGL -lGLU
OpenBenchmarking.orgSeconds, Fewer Is BetterBullet Physics Engine 2.81Test: 1000 ConvexEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R246810Min: 5.21 / Avg: 5.22 / Max: 5.23Min: 5.05 / Avg: 5.06 / Max: 5.06Min: 4.89 / Avg: 4.9 / Max: 4.9Min: 5.14 / Avg: 5.14 / Max: 5.15Min: 4.83 / Avg: 4.83 / Max: 4.83Min: 4.83 / Avg: 4.84 / Max: 4.85Min: 4.84 / Avg: 4.85 / Max: 4.87Min: 4.91 / Avg: 4.93 / Max: 4.95Min: 4.75 / Avg: 4.75 / Max: 4.75Min: 4.91 / Avg: 4.91 / Max: 4.92Min: 4.9 / Avg: 4.9 / Max: 4.91Min: 4.91 / Avg: 4.91 / Max: 4.91Min: 4.84 / Avg: 4.85 / Max: 4.86Min: 4.16 / Avg: 4.18 / Max: 4.2Min: 4.15 / Avg: 4.15 / Max: 4.16Min: 4.39 / Avg: 4.39 / Max: 4.4Min: 5.63 / Avg: 5.64 / Max: 5.66Min: 4.9 / Avg: 4.91 / Max: 4.94Min: 4.67 / Avg: 4.75 / Max: 4.89Min: 4.69 / Avg: 4.71 / Max: 4.721. (CXX) g++ options: -O3 -rdynamic -lglut -lGL -lGLU

OpenBenchmarking.orgSeconds, Fewer Is BetterBullet Physics Engine 2.81Test: Convex TrimeshEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R0.32170.64340.96511.28681.6085SE +/- 0.001278, N = 3SE +/- 0.003026, N = 3SE +/- 0.001157, N = 3SE +/- 0.000758, N = 3SE +/- 0.000237, N = 3SE +/- 0.000499, N = 3SE +/- 0.000831, N = 3SE +/- 0.003502, N = 3SE +/- 0.000067, N = 3SE +/- 0.003407, N = 3SE +/- 0.000236, N = 3SE +/- 0.001818, N = 3SE +/- 0.001369, N = 3SE +/- 0.002177, N = 3SE +/- 0.000910, N = 3SE +/- 0.002331, N = 3SE +/- 0.008043, N = 3SE +/- 0.001702, N = 3SE +/- 0.011208, N = 3SE +/- 0.003565, N = 31.3042601.2848801.2440021.3053721.2286001.2267321.2425731.2519421.2071371.2484081.2445881.2491681.2318971.0597901.0555721.1158771.4296301.2341271.2001881.1874471. (CXX) g++ options: -O3 -rdynamic -lglut -lGL -lGLU
OpenBenchmarking.orgSeconds, Fewer Is BetterBullet Physics Engine 2.81Test: Convex TrimeshEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R246810Min: 1.3 / Avg: 1.3 / Max: 1.31Min: 1.28 / Avg: 1.28 / Max: 1.29Min: 1.24 / Avg: 1.24 / Max: 1.25Min: 1.3 / Avg: 1.31 / Max: 1.31Min: 1.23 / Avg: 1.23 / Max: 1.23Min: 1.23 / Avg: 1.23 / Max: 1.23Min: 1.24 / Avg: 1.24 / Max: 1.24Min: 1.25 / Avg: 1.25 / Max: 1.26Min: 1.21 / Avg: 1.21 / Max: 1.21Min: 1.24 / Avg: 1.25 / Max: 1.26Min: 1.24 / Avg: 1.24 / Max: 1.25Min: 1.25 / Avg: 1.25 / Max: 1.25Min: 1.23 / Avg: 1.23 / Max: 1.23Min: 1.06 / Avg: 1.06 / Max: 1.06Min: 1.05 / Avg: 1.06 / Max: 1.06Min: 1.11 / Avg: 1.12 / Max: 1.12Min: 1.42 / Avg: 1.43 / Max: 1.45Min: 1.23 / Avg: 1.23 / Max: 1.24Min: 1.18 / Avg: 1.2 / Max: 1.22Min: 1.18 / Avg: 1.19 / Max: 1.191. (CXX) g++ options: -O3 -rdynamic -lglut -lGL -lGLU

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Color EnhanceEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R20406080100SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.19, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.08, N = 368.8868.2066.3069.7965.3365.7865.4867.1164.4866.7167.0966.4965.8056.4656.3359.7776.2465.9463.4465.92
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Color EnhanceEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1530456075Min: 68.76 / Avg: 68.88 / Max: 68.99Min: 68.15 / Avg: 68.2 / Max: 68.25Min: 66.23 / Avg: 66.29 / Max: 66.39Min: 69.68 / Avg: 69.79 / Max: 69.87Min: 65.24 / Avg: 65.33 / Max: 65.41Min: 65.72 / Avg: 65.78 / Max: 65.82Min: 65.43 / Avg: 65.48 / Max: 65.55Min: 67.01 / Avg: 67.11 / Max: 67.19Min: 64.41 / Avg: 64.48 / Max: 64.54Min: 66.65 / Avg: 66.71 / Max: 66.78Min: 66.86 / Avg: 67.09 / Max: 67.47Min: 66.43 / Avg: 66.49 / Max: 66.53Min: 65.66 / Avg: 65.8 / Max: 65.9Min: 56.43 / Avg: 56.46 / Max: 56.49Min: 56.32 / Avg: 56.33 / Max: 56.35Min: 59.7 / Avg: 59.77 / Max: 59.84Min: 76.14 / Avg: 76.24 / Max: 76.32Min: 65.89 / Avg: 65.94 / Max: 65.99Min: 63.22 / Avg: 63.44 / Max: 63.59Min: 65.8 / Avg: 65.92 / Max: 66.07

Timed MAFFT Alignment

This test performs an alignment of 100 pyruvate decarboxylase sequences. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNAEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215SE +/- 0.113, N = 3SE +/- 0.057, N = 3SE +/- 0.045, N = 3SE +/- 0.065, N = 3SE +/- 0.039, N = 3SE +/- 0.044, N = 3SE +/- 0.036, N = 3SE +/- 0.051, N = 3SE +/- 0.041, N = 3SE +/- 0.110, N = 3SE +/- 0.041, N = 3SE +/- 0.138, N = 3SE +/- 0.051, N = 3SE +/- 0.036, N = 3SE +/- 0.095, N = 3SE +/- 0.011, N = 3SE +/- 0.055, N = 3SE +/- 0.040, N = 3SE +/- 0.133, N = 3SE +/- 0.017, N = 311.37610.37510.19710.80110.06410.28810.15710.26310.03610.33510.26710.32610.2308.9288.8019.33111.88210.73210.44010.0321. (CC) gcc options: -std=c99 -O3 -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNAEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215Min: 11.16 / Avg: 11.38 / Max: 11.53Min: 10.3 / Avg: 10.37 / Max: 10.49Min: 10.11 / Avg: 10.2 / Max: 10.27Min: 10.73 / Avg: 10.8 / Max: 10.93Min: 9.99 / Avg: 10.06 / Max: 10.12Min: 10.23 / Avg: 10.29 / Max: 10.37Min: 10.09 / Avg: 10.16 / Max: 10.22Min: 10.21 / Avg: 10.26 / Max: 10.37Min: 9.96 / Avg: 10.04 / Max: 10.09Min: 10.2 / Avg: 10.33 / Max: 10.55Min: 10.2 / Avg: 10.27 / Max: 10.34Min: 10.17 / Avg: 10.33 / Max: 10.6Min: 10.16 / Avg: 10.23 / Max: 10.33Min: 8.86 / Avg: 8.93 / Max: 8.98Min: 8.61 / Avg: 8.8 / Max: 8.91Min: 9.32 / Avg: 9.33 / Max: 9.35Min: 11.82 / Avg: 11.88 / Max: 11.99Min: 10.66 / Avg: 10.73 / Max: 10.79Min: 10.29 / Avg: 10.44 / Max: 10.71Min: 10.01 / Avg: 10.03 / Max: 10.061. (CC) gcc options: -std=c99 -O3 -lm -lpthread

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ReflectEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R918273645SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.16, N = 337.2637.2536.2138.1035.7336.0835.8736.7635.3036.5536.7236.3536.0430.8430.8132.5841.5935.6134.7735.45
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ReflectEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R918273645Min: 37.17 / Avg: 37.26 / Max: 37.37Min: 37.19 / Avg: 37.25 / Max: 37.29Min: 36.18 / Avg: 36.21 / Max: 36.23Min: 38.01 / Avg: 38.1 / Max: 38.19Min: 35.7 / Avg: 35.73 / Max: 35.77Min: 36.04 / Avg: 36.08 / Max: 36.11Min: 35.87 / Avg: 35.87 / Max: 35.88Min: 36.7 / Avg: 36.76 / Max: 36.82Min: 35.24 / Avg: 35.3 / Max: 35.4Min: 36.5 / Avg: 36.55 / Max: 36.58Min: 36.67 / Avg: 36.72 / Max: 36.78Min: 36.31 / Avg: 36.35 / Max: 36.39Min: 35.94 / Avg: 36.04 / Max: 36.21Min: 30.81 / Avg: 30.84 / Max: 30.86Min: 30.77 / Avg: 30.81 / Max: 30.87Min: 32.58 / Avg: 32.58 / Max: 32.59Min: 41.52 / Avg: 41.59 / Max: 41.72Min: 35.56 / Avg: 35.61 / Max: 35.64Min: 34.75 / Avg: 34.77 / Max: 34.78Min: 35.27 / Avg: 35.45 / Max: 35.76

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Wavelet BlurEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R20406080100SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.14, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.14, N = 3SE +/- 0.03, N = 3SE +/- 0.18, N = 3SE +/- 0.08, N = 3SE +/- 0.14, N = 3SE +/- 0.05, N = 3SE +/- 0.16, N = 3SE +/- 0.19, N = 372.0072.0970.5674.5369.9770.4370.1472.2969.1071.4372.0471.3770.5659.9160.8364.0680.5567.4366.8569.52
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Wavelet BlurEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1530456075Min: 71.94 / Avg: 72 / Max: 72.06Min: 72.06 / Avg: 72.09 / Max: 72.16Min: 70.47 / Avg: 70.56 / Max: 70.62Min: 74.42 / Avg: 74.53 / Max: 74.6Min: 69.89 / Avg: 69.97 / Max: 70.06Min: 70.28 / Avg: 70.43 / Max: 70.62Min: 69.89 / Avg: 70.14 / Max: 70.38Min: 72.21 / Avg: 72.29 / Max: 72.38Min: 68.96 / Avg: 69.1 / Max: 69.25Min: 71.31 / Avg: 71.43 / Max: 71.67Min: 71.98 / Avg: 72.04 / Max: 72.07Min: 71.2 / Avg: 71.37 / Max: 71.46Min: 70.31 / Avg: 70.56 / Max: 70.8Min: 59.85 / Avg: 59.91 / Max: 59.97Min: 60.48 / Avg: 60.83 / Max: 61.01Min: 63.9 / Avg: 64.06 / Max: 64.16Min: 80.28 / Avg: 80.55 / Max: 80.73Min: 67.38 / Avg: 67.43 / Max: 67.53Min: 66.55 / Avg: 66.85 / Max: 67.1Min: 69.26 / Avg: 69.52 / Max: 69.9

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: crypto_pyaesEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R306090120150SE +/- 0.33, N = 3SE +/- 0.33, N = 3143140136145137134134136133138138136134116115124132115108113
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R306090120150Min: 133 / Avg: 133.67 / Max: 134Min: 137 / Avg: 137.67 / Max: 138

GNU Octave Benchmark

This test profile measures how long it takes to complete several reference GNU Octave files via octave-benchmark. GNU Octave is used for numerical computations and is an open-source alternative to MATLAB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 5.2.0EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215SE +/- 0.038, N = 5SE +/- 0.010, N = 5SE +/- 0.007, N = 5SE +/- 0.052, N = 5SE +/- 0.075, N = 5SE +/- 0.025, N = 5SE +/- 0.027, N = 5SE +/- 0.018, N = 5SE +/- 0.033, N = 5SE +/- 0.028, N = 5SE +/- 0.039, N = 5SE +/- 0.056, N = 5SE +/- 0.074, N = 5SE +/- 0.029, N = 5SE +/- 0.008, N = 5SE +/- 0.022, N = 5SE +/- 0.022, N = 5SE +/- 0.022, N = 5SE +/- 0.024, N = 5SE +/- 0.059, N = 58.7188.4398.2888.7778.3578.3818.3138.5248.2468.5798.7048.5418.6747.4477.5387.9829.9719.2268.9319.208
OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 5.2.0EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215Min: 8.63 / Avg: 8.72 / Max: 8.86Min: 8.41 / Avg: 8.44 / Max: 8.46Min: 8.27 / Avg: 8.29 / Max: 8.31Min: 8.65 / Avg: 8.78 / Max: 8.91Min: 8.27 / Avg: 8.36 / Max: 8.66Min: 8.3 / Avg: 8.38 / Max: 8.45Min: 8.26 / Avg: 8.31 / Max: 8.42Min: 8.49 / Avg: 8.52 / Max: 8.59Min: 8.17 / Avg: 8.25 / Max: 8.36Min: 8.5 / Avg: 8.58 / Max: 8.64Min: 8.62 / Avg: 8.7 / Max: 8.83Min: 8.41 / Avg: 8.54 / Max: 8.68Min: 8.54 / Avg: 8.67 / Max: 8.93Min: 7.37 / Avg: 7.45 / Max: 7.55Min: 7.52 / Avg: 7.54 / Max: 7.56Min: 7.91 / Avg: 7.98 / Max: 8.04Min: 9.92 / Avg: 9.97 / Max: 10.04Min: 9.18 / Avg: 9.23 / Max: 9.31Min: 8.85 / Avg: 8.93 / Max: 8.99Min: 9.02 / Avg: 9.21 / Max: 9.39

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 TimesEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R30060090012001500SE +/- 1.00, N = 3SE +/- 2.19, N = 3SE +/- 0.67, N = 3SE +/- 2.19, N = 3SE +/- 0.67, N = 3SE +/- 1.76, N = 3SE +/- 0.58, N = 3SE +/- 2.73, N = 3SE +/- 2.40, N = 3SE +/- 2.03, N = 3SE +/- 2.33, N = 3SE +/- 1.53, N = 3SE +/- 1.67, N = 3SE +/- 0.67, N = 3SE +/- 1.20, N = 3SE +/- 1.33, N = 312551245121112631185119211921212117912071212121011961024102410831369118511221150
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R2004006008001000Min: 1254 / Avg: 1255 / Max: 1257Min: 1242 / Avg: 1244.67 / Max: 1249Min: 1262 / Avg: 1263.33 / Max: 1264Min: 1181 / Avg: 1185.33 / Max: 1188Min: 1211 / Avg: 1211.67 / Max: 1213Min: 1204 / Avg: 1207.33 / Max: 1210Min: 1211 / Avg: 1212 / Max: 1213Min: 1205 / Avg: 1210.33 / Max: 1214Min: 1191 / Avg: 1195.67 / Max: 1199Min: 1021 / Avg: 1024.33 / Max: 1028Min: 1020 / Avg: 1023.67 / Max: 1028Min: 1080 / Avg: 1083 / Max: 1085Min: 1367 / Avg: 1368.67 / Max: 1372Min: 1184 / Avg: 1184.67 / Max: 1186Min: 1120 / Avg: 1122.33 / Max: 1124Min: 1147 / Avg: 1149.67 / Max: 1151

Bullet Physics Engine

This is a benchmark of the Bullet Physics Engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBullet Physics Engine 2.81Test: Prim TrimeshEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R0.26680.53360.80041.06721.334SE +/- 0.001672, N = 3SE +/- 0.001415, N = 3SE +/- 0.001091, N = 3SE +/- 0.001080, N = 3SE +/- 0.000791, N = 3SE +/- 0.001174, N = 3SE +/- 0.001534, N = 3SE +/- 0.001981, N = 3SE +/- 0.000354, N = 3SE +/- 0.000932, N = 3SE +/- 0.000753, N = 3SE +/- 0.000882, N = 3SE +/- 0.000715, N = 3SE +/- 0.002476, N = 3SE +/- 0.000474, N = 3SE +/- 0.000997, N = 3SE +/- 0.006385, N = 3SE +/- 0.001255, N = 3SE +/- 0.002499, N = 3SE +/- 0.000946, N = 31.0982031.0822831.0484651.1007581.0350801.0334271.0510381.0560871.0159801.0496501.0484531.0520421.0369200.8949380.8889150.9423171.1858951.0271380.9807550.9857281. (CXX) g++ options: -O3 -rdynamic -lglut -lGL -lGLU
OpenBenchmarking.orgSeconds, Fewer Is BetterBullet Physics Engine 2.81Test: Prim TrimeshEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R246810Min: 1.1 / Avg: 1.1 / Max: 1.1Min: 1.08 / Avg: 1.08 / Max: 1.09Min: 1.05 / Avg: 1.05 / Max: 1.05Min: 1.1 / Avg: 1.1 / Max: 1.1Min: 1.03 / Avg: 1.04 / Max: 1.04Min: 1.03 / Avg: 1.03 / Max: 1.04Min: 1.05 / Avg: 1.05 / Max: 1.05Min: 1.05 / Avg: 1.06 / Max: 1.06Min: 1.02 / Avg: 1.02 / Max: 1.02Min: 1.05 / Avg: 1.05 / Max: 1.05Min: 1.05 / Avg: 1.05 / Max: 1.05Min: 1.05 / Avg: 1.05 / Max: 1.05Min: 1.04 / Avg: 1.04 / Max: 1.04Min: 0.89 / Avg: 0.89 / Max: 0.9Min: 0.89 / Avg: 0.89 / Max: 0.89Min: 0.94 / Avg: 0.94 / Max: 0.94Min: 1.17 / Avg: 1.19 / Max: 1.19Min: 1.03 / Avg: 1.03 / Max: 1.03Min: 0.98 / Avg: 0.98 / Max: 0.99Min: 0.98 / Avg: 0.99 / Max: 0.991. (CXX) g++ options: -O3 -rdynamic -lglut -lGL -lGLU

Hugin

Hugin is an open-source, cross-platform panorama photo stitcher software package. This test profile times how long it takes to run the assistant and panorama photo stitching on a set of images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1530456075SE +/- 0.25, N = 3SE +/- 0.42, N = 3SE +/- 0.21, N = 3SE +/- 0.31, N = 3SE +/- 0.26, N = 3SE +/- 0.32, N = 3SE +/- 0.24, N = 3SE +/- 0.38, N = 3SE +/- 0.19, N = 3SE +/- 0.14, N = 3SE +/- 0.41, N = 3SE +/- 0.25, N = 3SE +/- 0.15, N = 3SE +/- 0.23, N = 3SE +/- 0.13, N = 3SE +/- 0.11, N = 3SE +/- 1.04, N = 3SE +/- 0.22, N = 3SE +/- 0.47, N = 3SE +/- 0.63, N = 360.5755.7754.4556.7353.1053.7253.3954.9452.4254.5355.2954.6655.1352.9450.6849.7366.2959.5356.6856.23
OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1326395265Min: 60.08 / Avg: 60.57 / Max: 60.83Min: 55.26 / Avg: 55.77 / Max: 56.6Min: 54.04 / Avg: 54.45 / Max: 54.69Min: 56.18 / Avg: 56.73 / Max: 57.24Min: 52.78 / Avg: 53.1 / Max: 53.6Min: 53.08 / Avg: 53.72 / Max: 54.09Min: 52.95 / Avg: 53.39 / Max: 53.77Min: 54.17 / Avg: 54.94 / Max: 55.32Min: 52.04 / Avg: 52.42 / Max: 52.67Min: 54.34 / Avg: 54.53 / Max: 54.81Min: 54.64 / Avg: 55.28 / Max: 56.05Min: 54.28 / Avg: 54.66 / Max: 55.14Min: 54.84 / Avg: 55.13 / Max: 55.35Min: 52.48 / Avg: 52.94 / Max: 53.18Min: 50.42 / Avg: 50.68 / Max: 50.83Min: 49.54 / Avg: 49.72 / Max: 49.93Min: 64.26 / Avg: 66.29 / Max: 67.74Min: 59.3 / Avg: 59.53 / Max: 59.97Min: 56.03 / Avg: 56.68 / Max: 57.59Min: 55.16 / Avg: 56.23 / Max: 57.34

Polyhedron Fortran Benchmarks

The Fortran.uk Polyhedron Fortran Benchmarks for comparing Fortran compiler performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: rnflowEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R51015202520.2120.1519.5520.5019.2719.2819.2819.5719.0019.5319.5219.6219.3416.5816.5317.4818.7216.3715.8215.39

Java Gradle Build

This test runs Java software project builds using the Gradle build system. It is intended to give developers an idea as to the build performance for development activities and build servers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterJava Gradle BuildGradle Build: ReactorEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R80160240320400SE +/- 2.73, N = 3SE +/- 6.11, N = 3SE +/- 3.87, N = 3SE +/- 5.13, N = 9SE +/- 4.99, N = 3SE +/- 5.74, N = 9SE +/- 5.14, N = 9SE +/- 6.20, N = 9SE +/- 4.91, N = 3SE +/- 3.70, N = 7SE +/- 2.49, N = 3SE +/- 4.71, N = 9SE +/- 5.38, N = 9SE +/- 2.60, N = 3SE +/- 2.59, N = 3SE +/- 4.69, N = 4SE +/- 3.30, N = 9SE +/- 3.39, N = 9SE +/- 4.27, N = 9SE +/- 3.36, N = 3373.08368.49379.76371.18354.27339.80342.25357.63339.35344.50356.75331.29337.81344.39323.23330.10324.35307.18299.59285.28
OpenBenchmarking.orgSeconds, Fewer Is BetterJava Gradle BuildGradle Build: ReactorEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R70140210280350Min: 368.67 / Avg: 373.08 / Max: 378.08Min: 361.79 / Avg: 368.49 / Max: 380.7Min: 372.45 / Avg: 379.76 / Max: 385.63Min: 349.96 / Avg: 371.18 / Max: 391.88Min: 344.4 / Avg: 354.27 / Max: 360.52Min: 315.08 / Avg: 339.8 / Max: 372.17Min: 316.71 / Avg: 342.25 / Max: 361.76Min: 327.79 / Avg: 357.63 / Max: 390.79Min: 331.61 / Avg: 339.35 / Max: 348.44Min: 331.32 / Avg: 344.5 / Max: 361.38Min: 351.87 / Avg: 356.75 / Max: 360.05Min: 313.98 / Avg: 331.29 / Max: 351.86Min: 313.22 / Avg: 337.81 / Max: 361.29Min: 339.25 / Avg: 344.39 / Max: 347.65Min: 318.18 / Avg: 323.23 / Max: 326.76Min: 320.17 / Avg: 330.1 / Max: 341.36Min: 307.39 / Avg: 324.35 / Max: 334.44Min: 291.1 / Avg: 307.18 / Max: 319.43Min: 286.44 / Avg: 299.59 / Max: 330.97Min: 278.81 / Avg: 285.28 / Max: 290.1

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: AntialiasEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1122334455SE +/- 0.16, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 345.4946.1945.3548.5945.5146.2545.9547.5745.2946.7047.0946.4946.1838.0639.2842.0650.6643.0642.8143.73
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: AntialiasEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1020304050Min: 45.18 / Avg: 45.49 / Max: 45.7Min: 46.18 / Avg: 46.19 / Max: 46.2Min: 45.34 / Avg: 45.35 / Max: 45.38Min: 48.5 / Avg: 48.59 / Max: 48.67Min: 45.49 / Avg: 45.51 / Max: 45.52Min: 46.23 / Avg: 46.25 / Max: 46.28Min: 45.93 / Avg: 45.95 / Max: 45.97Min: 47.51 / Avg: 47.57 / Max: 47.62Min: 45.27 / Avg: 45.29 / Max: 45.3Min: 46.69 / Avg: 46.7 / Max: 46.71Min: 47.08 / Avg: 47.09 / Max: 47.11Min: 46.42 / Avg: 46.49 / Max: 46.53Min: 46.1 / Avg: 46.18 / Max: 46.22Min: 38.05 / Avg: 38.06 / Max: 38.09Min: 39.22 / Avg: 39.28 / Max: 39.32Min: 42.01 / Avg: 42.06 / Max: 42.1Min: 50.61 / Avg: 50.66 / Max: 50.7Min: 43.02 / Avg: 43.06 / Max: 43.1Min: 42.67 / Avg: 42.81 / Max: 42.98Min: 43.64 / Avg: 43.73 / Max: 43.83

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: Quality 100EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R0.73461.46922.20382.93843.673SE +/- 0.004, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.017, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.005, N = 3SE +/- 0.004, N = 3SE +/- 0.002, N = 3SE +/- 0.004, N = 3SE +/- 0.005, N = 3SE +/- 0.003, N = 3SE +/- 0.001, N = 3SE +/- 0.003, N = 3SE +/- 0.007, N = 3SE +/- 0.002, N = 3SE +/- 0.012, N = 3SE +/- 0.003, N = 3SE +/- 0.008, N = 3SE +/- 0.004, N = 32.9712.9672.8743.0262.8362.8412.8362.8902.7992.8842.8932.8952.8582.4562.4542.8283.2652.7932.6942.6721. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R246810Min: 2.96 / Avg: 2.97 / Max: 2.98Min: 2.97 / Avg: 2.97 / Max: 2.97Min: 2.87 / Avg: 2.87 / Max: 2.88Min: 3.01 / Avg: 3.03 / Max: 3.06Min: 2.84 / Avg: 2.84 / Max: 2.84Min: 2.84 / Avg: 2.84 / Max: 2.84Min: 2.83 / Avg: 2.84 / Max: 2.84Min: 2.88 / Avg: 2.89 / Max: 2.89Min: 2.8 / Avg: 2.8 / Max: 2.8Min: 2.88 / Avg: 2.88 / Max: 2.89Min: 2.89 / Avg: 2.89 / Max: 2.9Min: 2.89 / Avg: 2.9 / Max: 2.9Min: 2.86 / Avg: 2.86 / Max: 2.86Min: 2.45 / Avg: 2.46 / Max: 2.46Min: 2.45 / Avg: 2.45 / Max: 2.47Min: 2.83 / Avg: 2.83 / Max: 2.83Min: 3.25 / Avg: 3.27 / Max: 3.29Min: 2.79 / Avg: 2.79 / Max: 2.8Min: 2.68 / Avg: 2.69 / Max: 2.71Min: 2.66 / Avg: 2.67 / Max: 2.681. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

Gzip Compression

This test measures the time needed to archive/compress two copies of the Linux 4.13 kernel source tree using Gzip compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGzip CompressionLinux Source Tree Archiving To .tar.gzEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1224364860SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.14, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 3SE +/- 0.30, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.43, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.16, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 347.3046.9845.6247.9744.9544.8444.9446.1144.1445.4545.5645.9345.0139.1038.8040.7151.6144.3242.3442.24
OpenBenchmarking.orgSeconds, Fewer Is BetterGzip CompressionLinux Source Tree Archiving To .tar.gzEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1020304050Min: 47.19 / Avg: 47.29 / Max: 47.44Min: 46.93 / Avg: 46.98 / Max: 47.07Min: 45.57 / Avg: 45.62 / Max: 45.67Min: 47.77 / Avg: 47.97 / Max: 48.12Min: 44.81 / Avg: 44.95 / Max: 45.23Min: 44.8 / Avg: 44.84 / Max: 44.87Min: 44.84 / Avg: 44.94 / Max: 45.13Min: 45.76 / Avg: 46.11 / Max: 46.71Min: 44.09 / Avg: 44.14 / Max: 44.19Min: 45.42 / Avg: 45.45 / Max: 45.48Min: 45.47 / Avg: 45.56 / Max: 45.61Min: 45.48 / Avg: 45.93 / Max: 46.79Min: 44.96 / Avg: 45.01 / Max: 45.06Min: 39.01 / Avg: 39.1 / Max: 39.15Min: 38.78 / Avg: 38.8 / Max: 38.81Min: 40.65 / Avg: 40.71 / Max: 40.77Min: 51.53 / Avg: 51.61 / Max: 51.66Min: 44 / Avg: 44.32 / Max: 44.48Min: 42.25 / Avg: 42.34 / Max: 42.44Min: 42.16 / Avg: 42.24 / Max: 42.38

Bullet Physics Engine

This is a benchmark of the Bullet Physics Engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBullet Physics Engine 2.81Test: 1000 StackEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R246810SE +/- 0.008403, N = 3SE +/- 0.014814, N = 3SE +/- 0.004193, N = 3SE +/- 0.005105, N = 3SE +/- 0.011697, N = 3SE +/- 0.009361, N = 3SE +/- 0.002525, N = 3SE +/- 0.005066, N = 3SE +/- 0.004603, N = 3SE +/- 0.000987, N = 3SE +/- 0.021564, N = 3SE +/- 0.002452, N = 3SE +/- 0.019618, N = 3SE +/- 0.013545, N = 3SE +/- 0.004480, N = 3SE +/- 0.009253, N = 3SE +/- 0.011259, N = 3SE +/- 0.014718, N = 3SE +/- 0.027515, N = 3SE +/- 0.001917, N = 36.0905075.5882165.3901515.6554705.3186055.3087405.3031845.4061585.2224805.3824215.4110955.4072185.3494374.6380794.5909494.9568015.9818295.3190775.0180765.0319521. (CXX) g++ options: -O3 -rdynamic -lglut -lGL -lGLU
OpenBenchmarking.orgSeconds, Fewer Is BetterBullet Physics Engine 2.81Test: 1000 StackEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R246810Min: 6.08 / Avg: 6.09 / Max: 6.11Min: 5.56 / Avg: 5.59 / Max: 5.62Min: 5.38 / Avg: 5.39 / Max: 5.39Min: 5.65 / Avg: 5.66 / Max: 5.66Min: 5.3 / Avg: 5.32 / Max: 5.34Min: 5.3 / Avg: 5.31 / Max: 5.33Min: 5.3 / Avg: 5.3 / Max: 5.31Min: 5.4 / Avg: 5.41 / Max: 5.42Min: 5.22 / Avg: 5.22 / Max: 5.23Min: 5.38 / Avg: 5.38 / Max: 5.38Min: 5.39 / Avg: 5.41 / Max: 5.45Min: 5.4 / Avg: 5.41 / Max: 5.41Min: 5.33 / Avg: 5.35 / Max: 5.39Min: 4.61 / Avg: 4.64 / Max: 4.66Min: 4.58 / Avg: 4.59 / Max: 4.6Min: 4.94 / Avg: 4.96 / Max: 4.97Min: 5.96 / Avg: 5.98 / Max: 6Min: 5.29 / Avg: 5.32 / Max: 5.34Min: 4.98 / Avg: 5.02 / Max: 5.07Min: 5.03 / Avg: 5.03 / Max: 5.041. (CXX) g++ options: -O3 -rdynamic -lglut -lGL -lGLU

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Rotate 90 DegreesEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1224364860SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 349.8648.2547.3949.5846.4146.7846.4448.1745.7247.3347.8447.1746.8141.4641.3542.7554.7047.5646.0247.28
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Rotate 90 DegreesEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1122334455Min: 49.74 / Avg: 49.86 / Max: 50.01Min: 48.19 / Avg: 48.25 / Max: 48.28Min: 47.37 / Avg: 47.39 / Max: 47.41Min: 49.56 / Avg: 49.58 / Max: 49.63Min: 46.29 / Avg: 46.41 / Max: 46.49Min: 46.71 / Avg: 46.78 / Max: 46.83Min: 46.4 / Avg: 46.44 / Max: 46.47Min: 48.02 / Avg: 48.17 / Max: 48.37Min: 45.69 / Avg: 45.72 / Max: 45.75Min: 47.3 / Avg: 47.33 / Max: 47.37Min: 47.75 / Avg: 47.84 / Max: 47.97Min: 47.1 / Avg: 47.17 / Max: 47.22Min: 46.69 / Avg: 46.81 / Max: 46.91Min: 41.44 / Avg: 41.46 / Max: 41.47Min: 41.29 / Avg: 41.35 / Max: 41.41Min: 42.71 / Avg: 42.75 / Max: 42.81Min: 54.53 / Avg: 54.7 / Max: 54.85Min: 47.48 / Avg: 47.56 / Max: 47.7Min: 45.87 / Avg: 46.02 / Max: 46.09Min: 47.17 / Avg: 47.28 / Max: 47.42

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. The number of iterations used is 1,000,000. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R140K280K420K560K700KSE +/- 351.72, N = 3SE +/- 2863.87, N = 3SE +/- 1526.06, N = 3SE +/- 1155.08, N = 3SE +/- 583.02, N = 3SE +/- 2635.10, N = 3SE +/- 1200.01, N = 3SE +/- 2362.58, N = 3SE +/- 2113.07, N = 3SE +/- 2275.05, N = 3SE +/- 507.16, N = 3SE +/- 2747.06, N = 3SE +/- 2165.69, N = 3SE +/- 2981.62, N = 3SE +/- 2359.01, N = 3SE +/- 837.97, N = 3SE +/- 595.19, N = 3SE +/- 1479.50, N = 3SE +/- 1309.74, N = 3SE +/- 296.95, N = 3492401493191506275484301514044513016515021504716520135507020506221504339514218598080600343571873522671604953637795612168
OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R110K220K330K440K550KMin: 492038 / Avg: 492400.67 / Max: 493104Min: 488411 / Avg: 493191.33 / Max: 498314Min: 503297 / Avg: 506275 / Max: 508343Min: 482002 / Avg: 484301 / Max: 485647Min: 513379 / Avg: 514044 / Max: 515206Min: 510116 / Avg: 513016 / Max: 518277Min: 512649 / Avg: 515020.67 / Max: 516525Min: 500994 / Avg: 504716 / Max: 509098Min: 517027 / Avg: 520135 / Max: 524169Min: 503077 / Avg: 507020.33 / Max: 510958Min: 505464 / Avg: 506220.67 / Max: 507184Min: 499465 / Avg: 504338.67 / Max: 508972Min: 510015 / Avg: 514218 / Max: 517226Min: 592630 / Avg: 598080 / Max: 602901Min: 596626 / Avg: 600343 / Max: 604718Min: 570368 / Avg: 571873.33 / Max: 573264Min: 521482 / Avg: 522671 / Max: 523315Min: 602472 / Avg: 604953 / Max: 607590Min: 635355 / Avg: 637795.33 / Max: 639840Min: 611643 / Avg: 612167.67 / Max: 612671

eSpeak-NG Speech Engine

This test times how long it takes the eSpeak speech synthesizer to read Project Gutenberg's The Outline of Science and output to a WAV file. This test profile is now tracking the eSpeak-NG version of eSpeak. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R918273645SE +/- 0.13, N = 4SE +/- 0.06, N = 4SE +/- 0.13, N = 4SE +/- 0.08, N = 4SE +/- 0.11, N = 4SE +/- 0.15, N = 4SE +/- 0.11, N = 4SE +/- 0.11, N = 4SE +/- 0.12, N = 4SE +/- 0.09, N = 4SE +/- 0.09, N = 4SE +/- 0.15, N = 4SE +/- 0.06, N = 4SE +/- 0.06, N = 4SE +/- 0.08, N = 4SE +/- 0.12, N = 4SE +/- 0.54, N = 5SE +/- 0.10, N = 4SE +/- 0.09, N = 4SE +/- 0.15, N = 437.6237.5636.5038.1935.8836.1035.9736.5835.4536.4536.4836.5936.0131.4631.1832.5941.0334.6432.8132.921. (CC) gcc options: -O2 -std=c99
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R918273645Min: 37.35 / Avg: 37.62 / Max: 37.93Min: 37.4 / Avg: 37.56 / Max: 37.67Min: 36.27 / Avg: 36.5 / Max: 36.74Min: 38.05 / Avg: 38.19 / Max: 38.37Min: 35.69 / Avg: 35.88 / Max: 36.13Min: 35.7 / Avg: 36.1 / Max: 36.41Min: 35.7 / Avg: 35.97 / Max: 36.23Min: 36.34 / Avg: 36.58 / Max: 36.88Min: 35.15 / Avg: 35.45 / Max: 35.69Min: 36.22 / Avg: 36.45 / Max: 36.64Min: 36.26 / Avg: 36.48 / Max: 36.63Min: 36.3 / Avg: 36.59 / Max: 36.97Min: 35.87 / Avg: 36.01 / Max: 36.14Min: 31.29 / Avg: 31.46 / Max: 31.53Min: 30.99 / Avg: 31.18 / Max: 31.36Min: 32.3 / Avg: 32.59 / Max: 32.85Min: 39.82 / Avg: 41.03 / Max: 42.63Min: 34.37 / Avg: 34.64 / Max: 34.81Min: 32.58 / Avg: 32.81 / Max: 33.02Min: 32.64 / Avg: 32.92 / Max: 33.321. (CC) gcc options: -O2 -std=c99

Git

This test measures the time needed to carry out some sample Git operations on an example, static repository that happens to be a copy of the GNOME GTK tool-kit repository. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGitTime To Complete Common Git CommandsEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1632486480SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.12, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.11, N = 3SE +/- 0.13, N = 3SE +/- 0.12, N = 3SE +/- 0.04, N = 3SE +/- 0.22, N = 364.5562.9761.7764.2260.6060.5260.3061.5359.6861.2161.6061.6460.5653.0552.9955.3769.6861.3758.5060.831. git version 2.27.0
OpenBenchmarking.orgSeconds, Fewer Is BetterGitTime To Complete Common Git CommandsEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1326395265Min: 64.46 / Avg: 64.55 / Max: 64.65Min: 62.89 / Avg: 62.97 / Max: 63.03Min: 61.7 / Avg: 61.77 / Max: 61.88Min: 64.09 / Avg: 64.22 / Max: 64.35Min: 60.49 / Avg: 60.6 / Max: 60.69Min: 60.5 / Avg: 60.52 / Max: 60.55Min: 60.19 / Avg: 60.3 / Max: 60.4Min: 61.41 / Avg: 61.53 / Max: 61.67Min: 59.54 / Avg: 59.68 / Max: 59.81Min: 61.13 / Avg: 61.21 / Max: 61.26Min: 61.36 / Avg: 61.6 / Max: 61.77Min: 61.63 / Avg: 61.64 / Max: 61.67Min: 60.52 / Avg: 60.56 / Max: 60.62Min: 53.01 / Avg: 53.05 / Max: 53.11Min: 52.87 / Avg: 52.99 / Max: 53.12Min: 55.16 / Avg: 55.37 / Max: 55.55Min: 69.49 / Avg: 69.68 / Max: 69.94Min: 61.21 / Avg: 61.37 / Max: 61.59Min: 58.45 / Avg: 58.5 / Max: 58.58Min: 60.39 / Avg: 60.83 / Max: 61.141. git version 2.27.0

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: Quality 100, LosslessEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R612182430SE +/- 0.12, N = 3SE +/- 0.13, N = 3SE +/- 0.11, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.13, N = 3SE +/- 0.02, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.14, N = 3SE +/- 0.13, N = 3SE +/- 0.15, N = 3SE +/- 0.02, N = 3SE +/- 0.13, N = 3SE +/- 0.11, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 322.3721.7221.2221.8120.9120.8220.9321.0820.6021.0521.0221.1421.0118.1218.0019.0223.6720.8920.2020.191. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R612182430Min: 22.22 / Avg: 22.37 / Max: 22.61Min: 21.57 / Avg: 21.72 / Max: 21.97Min: 20.99 / Avg: 21.22 / Max: 21.35Min: 21.8 / Avg: 21.81 / Max: 21.84Min: 20.78 / Avg: 20.91 / Max: 21Min: 20.55 / Avg: 20.82 / Max: 20.97Min: 20.89 / Avg: 20.92 / Max: 20.96Min: 20.84 / Avg: 21.08 / Max: 21.24Min: 20.54 / Avg: 20.6 / Max: 20.64Min: 20.78 / Avg: 21.05 / Max: 21.2Min: 20.88 / Avg: 21.02 / Max: 21.28Min: 20.84 / Avg: 21.14 / Max: 21.35Min: 20.99 / Avg: 21.01 / Max: 21.04Min: 17.87 / Avg: 18.12 / Max: 18.32Min: 17.78 / Avg: 18 / Max: 18.13Min: 19.01 / Avg: 19.02 / Max: 19.03Min: 23.67 / Avg: 23.67 / Max: 23.68Min: 20.78 / Avg: 20.89 / Max: 20.95Min: 20.17 / Avg: 20.2 / Max: 20.22Min: 20.11 / Avg: 20.19 / Max: 20.241. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

System GZIP Decompression

This simple test measures the time to decompress a gzipped tarball (the Qt5 toolkit source package). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSystem GZIP DecompressionEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R0.92751.8552.78253.714.6375SE +/- 0.052, N = 4SE +/- 0.053, N = 4SE +/- 0.050, N = 4SE +/- 0.067, N = 3SE +/- 0.052, N = 4SE +/- 0.058, N = 3SE +/- 0.053, N = 4SE +/- 0.063, N = 3SE +/- 0.049, N = 4SE +/- 0.059, N = 3SE +/- 0.050, N = 5SE +/- 0.051, N = 4SE +/- 0.063, N = 3SE +/- 0.040, N = 5SE +/- 0.039, N = 5SE +/- 0.040, N = 5SE +/- 0.058, N = 4SE +/- 0.043, N = 6SE +/- 0.037, N = 7SE +/- 0.001, N = 33.8363.8363.7103.9293.6643.7023.6773.7553.6283.7453.7223.7243.7083.1603.1493.3194.1223.5263.3703.320
OpenBenchmarking.orgSeconds, Fewer Is BetterSystem GZIP DecompressionEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R246810Min: 3.77 / Avg: 3.84 / Max: 3.99Min: 3.77 / Avg: 3.84 / Max: 3.99Min: 3.66 / Avg: 3.71 / Max: 3.86Min: 3.85 / Avg: 3.93 / Max: 4.06Min: 3.6 / Avg: 3.66 / Max: 3.82Min: 3.61 / Avg: 3.7 / Max: 3.81Min: 3.61 / Avg: 3.68 / Max: 3.83Min: 3.68 / Avg: 3.75 / Max: 3.88Min: 3.57 / Avg: 3.63 / Max: 3.78Min: 3.68 / Avg: 3.75 / Max: 3.86Min: 3.66 / Avg: 3.72 / Max: 3.92Min: 3.66 / Avg: 3.72 / Max: 3.88Min: 3.64 / Avg: 3.71 / Max: 3.84Min: 3.1 / Avg: 3.16 / Max: 3.32Min: 3.1 / Avg: 3.15 / Max: 3.31Min: 3.28 / Avg: 3.32 / Max: 3.48Min: 4.04 / Avg: 4.12 / Max: 4.29Min: 3.47 / Avg: 3.53 / Max: 3.74Min: 3.3 / Avg: 3.37 / Max: 3.59Min: 3.32 / Avg: 3.32 / Max: 3.32

SciMark

This test runs the ANSI C version of SciMark 2.0, which is a benchmark for scientific and numerical computing developed by programmers at the National Institute of Standards and Technology. This test is made up of Fast Foruier Transform, Jacobi Successive Over-relaxation, Monte Carlo, Sparse Matrix Multiply, and dense LU matrix factorization benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Monte CarloEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R306090120150SE +/- 0.38, N = 3SE +/- 0.29, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.04, N = 3SE +/- 1.35, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.22, N = 3SE +/- 0.07, N = 3SE +/- 0.17, N = 3SE +/- 0.45, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 3114.61114.51118.58113.09120.41119.05120.37118.68122.15118.56118.56118.48119.74139.28140.00132.58107.21123.99130.66130.661. (CC) gcc options: -lm
OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Monte CarloEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R306090120150Min: 113.86 / Avg: 114.61 / Max: 115.03Min: 113.96 / Avg: 114.51 / Max: 114.92Min: 118.52 / Avg: 118.58 / Max: 118.62Min: 112.87 / Avg: 113.09 / Max: 113.22Min: 120.36 / Avg: 120.41 / Max: 120.48Min: 116.35 / Avg: 119.05 / Max: 120.42Min: 120.22 / Avg: 120.37 / Max: 120.47Min: 118.58 / Avg: 118.68 / Max: 118.75Min: 121.94 / Avg: 122.15 / Max: 122.26Min: 118.38 / Avg: 118.56 / Max: 118.67Min: 118.51 / Avg: 118.56 / Max: 118.65Min: 118.28 / Avg: 118.48 / Max: 118.61Min: 119.29 / Avg: 119.74 / Max: 119.98Min: 139.18 / Avg: 139.28 / Max: 139.41Min: 139.68 / Avg: 140 / Max: 140.23Min: 131.67 / Avg: 132.58 / Max: 133.04Min: 107.14 / Avg: 107.21 / Max: 107.28Min: 123.94 / Avg: 123.99 / Max: 124.03Min: 130.42 / Avg: 130.66 / Max: 130.8Min: 130.52 / Avg: 130.66 / Max: 130.751. (CC) gcc options: -lm

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CartoonEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R306090120150SE +/- 0.06, N = 3SE +/- 0.17, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.16, N = 3SE +/- 0.15, N = 3SE +/- 0.08, N = 3SE +/- 0.15, N = 3SE +/- 0.23, N = 3SE +/- 0.13, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 3114.43114.56112.07118.03110.86111.18110.61114.07109.37112.71113.44112.67111.5396.5796.97102.01125.79107.27104.28108.50
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CartoonEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R20406080100Min: 114.36 / Avg: 114.42 / Max: 114.54Min: 114.37 / Avg: 114.56 / Max: 114.9Min: 112.01 / Avg: 112.07 / Max: 112.17Min: 117.9 / Avg: 118.03 / Max: 118.22Min: 110.54 / Avg: 110.86 / Max: 111.04Min: 111.02 / Avg: 111.18 / Max: 111.49Min: 110.53 / Avg: 110.61 / Max: 110.77Min: 113.78 / Avg: 114.07 / Max: 114.27Min: 109.09 / Avg: 109.37 / Max: 109.82Min: 112.44 / Avg: 112.71 / Max: 112.84Min: 113.4 / Avg: 113.44 / Max: 113.5Min: 112.59 / Avg: 112.67 / Max: 112.75Min: 111.44 / Avg: 111.53 / Max: 111.59Min: 96.49 / Avg: 96.57 / Max: 96.7Min: 96.76 / Avg: 96.97 / Max: 97.13Min: 101.93 / Avg: 102.01 / Max: 102.12Min: 125.66 / Avg: 125.78 / Max: 125.88Min: 107.18 / Avg: 107.27 / Max: 107.34Min: 104.15 / Avg: 104.28 / Max: 104.43Min: 108.35 / Avg: 108.5 / Max: 108.61

WireGuard + Linux Networking Stack Stress Test

This is a benchmark of the WireGuard secure VPN tunnel and Linux networking stack stress test. The test runs on the local host but does require root permissions to run. The way it works is it creates three namespaces. ns0 has a loopback device. ns1 and ns2 each have wireguard devices. Those two wireguard devices send traffic through the loopback device of ns0. The end result of this is that tests wind up testing encryption and decryption at the same time -- a pretty CPU and scheduler-heavy workflow. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R70140210280350SE +/- 0.65, N = 3SE +/- 0.81, N = 3SE +/- 0.59, N = 3SE +/- 0.34, N = 3SE +/- 0.15, N = 3SE +/- 0.43, N = 3SE +/- 0.67, N = 3SE +/- 0.89, N = 3SE +/- 0.56, N = 3SE +/- 0.73, N = 3SE +/- 1.49, N = 3SE +/- 0.69, N = 3SE +/- 0.89, N = 3SE +/- 0.50, N = 3SE +/- 0.78, N = 3SE +/- 0.66, N = 3SE +/- 0.70, N = 3SE +/- 1.05, N = 3SE +/- 0.61, N = 3SE +/- 1.11, N = 3323.28312.18329.31337.30327.87325.66325.26334.67323.34336.45337.00339.37336.92308.52298.47295.26322.50269.27305.82260.60
OpenBenchmarking.orgSeconds, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R60120180240300Min: 322.49 / Avg: 323.28 / Max: 324.58Min: 310.68 / Avg: 312.18 / Max: 313.44Min: 328.38 / Avg: 329.31 / Max: 330.4Min: 336.62 / Avg: 337.3 / Max: 337.69Min: 327.57 / Avg: 327.87 / Max: 328.02Min: 324.97 / Avg: 325.66 / Max: 326.46Min: 324.12 / Avg: 325.26 / Max: 326.43Min: 332.93 / Avg: 334.67 / Max: 335.9Min: 322.33 / Avg: 323.34 / Max: 324.28Min: 335.49 / Avg: 336.45 / Max: 337.89Min: 335.1 / Avg: 337 / Max: 339.94Min: 338.14 / Avg: 339.37 / Max: 340.54Min: 335.33 / Avg: 336.92 / Max: 338.41Min: 307.64 / Avg: 308.52 / Max: 309.36Min: 297.17 / Avg: 298.47 / Max: 299.86Min: 294.29 / Avg: 295.26 / Max: 296.51Min: 321.47 / Avg: 322.49 / Max: 323.84Min: 267.46 / Avg: 269.27 / Max: 271.09Min: 304.99 / Avg: 305.82 / Max: 307.01Min: 258.67 / Avg: 260.6 / Max: 262.5

Unpacking The Linux Kernel

This test measures how long it takes to extract the .tar.xz Linux kernel package. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking The Linux Kernellinux-4.15.tar.xzEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R246810SE +/- 0.014, N = 4SE +/- 0.014, N = 4SE +/- 0.047, N = 4SE +/- 0.030, N = 4SE +/- 0.014, N = 4SE +/- 0.015, N = 4SE +/- 0.013, N = 4SE +/- 0.027, N = 4SE +/- 0.024, N = 4SE +/- 0.006, N = 4SE +/- 0.022, N = 4SE +/- 0.027, N = 4SE +/- 0.020, N = 4SE +/- 0.023, N = 4SE +/- 0.018, N = 4SE +/- 0.015, N = 4SE +/- 0.063, N = 4SE +/- 0.020, N = 4SE +/- 0.027, N = 4SE +/- 0.014, N = 47.1966.7926.9146.9886.6296.5516.5936.9206.4196.6356.7666.6606.5636.0926.1806.1747.8876.8026.4576.421
OpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking The Linux Kernellinux-4.15.tar.xzEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215Min: 7.16 / Avg: 7.2 / Max: 7.22Min: 6.75 / Avg: 6.79 / Max: 6.82Min: 6.83 / Avg: 6.91 / Max: 7.05Min: 6.94 / Avg: 6.99 / Max: 7.07Min: 6.59 / Avg: 6.63 / Max: 6.65Min: 6.53 / Avg: 6.55 / Max: 6.59Min: 6.57 / Avg: 6.59 / Max: 6.63Min: 6.87 / Avg: 6.92 / Max: 6.98Min: 6.35 / Avg: 6.42 / Max: 6.46Min: 6.63 / Avg: 6.64 / Max: 6.65Min: 6.73 / Avg: 6.77 / Max: 6.82Min: 6.59 / Avg: 6.66 / Max: 6.71Min: 6.52 / Avg: 6.56 / Max: 6.62Min: 6.04 / Avg: 6.09 / Max: 6.15Min: 6.14 / Avg: 6.18 / Max: 6.23Min: 6.13 / Avg: 6.17 / Max: 6.19Min: 7.72 / Avg: 7.89 / Max: 8.01Min: 6.74 / Avg: 6.8 / Max: 6.84Min: 6.41 / Avg: 6.46 / Max: 6.53Min: 6.38 / Avg: 6.42 / Max: 6.44

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 BenchmarkEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R70140210280350SE +/- 0.59, N = 3SE +/- 0.49, N = 3SE +/- 0.21, N = 3SE +/- 0.78, N = 3SE +/- 0.37, N = 3SE +/- 0.39, N = 3SE +/- 1.20, N = 3SE +/- 1.18, N = 3SE +/- 0.74, N = 3SE +/- 1.91, N = 3SE +/- 1.72, N = 3SE +/- 0.31, N = 3SE +/- 0.71, N = 3SE +/- 0.52, N = 3SE +/- 0.25, N = 3SE +/- 0.60, N = 3SE +/- 0.90, N = 3SE +/- 1.81, N = 3SE +/- 0.15, N = 3SE +/- 0.46, N = 3262.38290.46296.95285.63299.52301.55300.32294.22304.52295.56292.04293.14299.00334.49338.78318.42274.78288.55304.33315.89
OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R60120180240300Min: 261.34 / Avg: 262.38 / Max: 263.38Min: 289.5 / Avg: 290.46 / Max: 291.13Min: 296.74 / Avg: 296.95 / Max: 297.36Min: 284.14 / Avg: 285.63 / Max: 286.75Min: 298.99 / Avg: 299.52 / Max: 300.22Min: 300.83 / Avg: 301.55 / Max: 302.18Min: 298.01 / Avg: 300.32 / Max: 302.05Min: 292.64 / Avg: 294.22 / Max: 296.53Min: 303.14 / Avg: 304.52 / Max: 305.68Min: 293.07 / Avg: 295.56 / Max: 299.32Min: 288.63 / Avg: 292.04 / Max: 294.16Min: 292.52 / Avg: 293.14 / Max: 293.46Min: 297.69 / Avg: 299 / Max: 300.14Min: 333.83 / Avg: 334.49 / Max: 335.52Min: 338.28 / Avg: 338.78 / Max: 339.09Min: 317.22 / Avg: 318.42 / Max: 319.05Min: 273.01 / Avg: 274.78 / Max: 275.98Min: 286.72 / Avg: 288.55 / Max: 292.16Min: 304.15 / Avg: 304.33 / Max: 304.64Min: 315.19 / Avg: 315.89 / Max: 316.76

BYTE Unix Benchmark

This is a test of BYTE. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R9M18M27M36M45MSE +/- 252864.20, N = 3SE +/- 165385.16, N = 3SE +/- 472480.22, N = 3SE +/- 166454.26, N = 3SE +/- 226875.87, N = 3SE +/- 486609.08, N = 3SE +/- 137924.77, N = 3SE +/- 226742.78, N = 3SE +/- 288205.93, N = 3SE +/- 253533.19, N = 3SE +/- 229640.42, N = 3SE +/- 198080.38, N = 3SE +/- 217072.87, N = 3SE +/- 290111.25, N = 3SE +/- 472119.65, N = 6SE +/- 216768.78, N = 3SE +/- 72200.12, N = 3SE +/- 359919.23, N = 3SE +/- 102765.21, N = 3SE +/- 45411.60, N = 332409435.231997433.833558264.831911088.833817633.632982666.133230145.232270334.233745274.132835766.033456314.631996287.334006118.740212653.639633515.439446298.131189391.435732349.737921577.737869022.6
OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R7M14M21M28M35MMin: 31904966 / Avg: 32409435.17 / Max: 32692557.6Min: 31674127.4 / Avg: 31997433.83 / Max: 32219597.1Min: 32668442.4 / Avg: 33558264.8 / Max: 34278629.7Min: 31595288.5 / Avg: 31911088.8 / Max: 32160223.2Min: 33580391.9 / Avg: 33817633.6 / Max: 34271225Min: 32220133 / Avg: 32982666.1 / Max: 33887643.1Min: 32996788.2 / Avg: 33230145.2 / Max: 33474213.3Min: 31818496.7 / Avg: 32270334.2 / Max: 32529704.7Min: 33232001.3 / Avg: 33745274.07 / Max: 34229069.6Min: 32393997.8 / Avg: 32835766 / Max: 33272214.2Min: 33133629.2 / Avg: 33456314.63 / Max: 33900694Min: 31617582.3 / Avg: 31996287.27 / Max: 32286359.3Min: 33572556.5 / Avg: 34006118.67 / Max: 34242387.5Min: 39688926 / Avg: 40212653.6 / Max: 40690794.2Min: 37414193 / Avg: 39633515.43 / Max: 40556935Min: 39016803.3 / Avg: 39446298.07 / Max: 39712200.1Min: 31045309.6 / Avg: 31189391.43 / Max: 31269732.3Min: 35023875.1 / Avg: 35732349.67 / Max: 36196920.1Min: 37723328.2 / Avg: 37921577.7 / Max: 38067659Min: 37778719.9 / Avg: 37869022.63 / Max: 37922582.4

dcraw

This test times how long it takes to convert several high-resolution RAW NEF image files to PPM image format using dcraw. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterdcrawRAW To PPM Image ConversionEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1224364860SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.21, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 353.8653.8652.2454.7751.4651.5051.4152.4050.7152.5552.2552.3351.7644.7244.3546.6251.8144.8342.5442.581. (CC) gcc options: -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterdcrawRAW To PPM Image ConversionEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1122334455Min: 53.81 / Avg: 53.86 / Max: 53.94Min: 53.76 / Avg: 53.86 / Max: 53.91Min: 52.14 / Avg: 52.24 / Max: 52.38Min: 54.75 / Avg: 54.77 / Max: 54.79Min: 51.42 / Avg: 51.46 / Max: 51.5Min: 51.37 / Avg: 51.49 / Max: 51.57Min: 51.4 / Avg: 51.41 / Max: 51.41Min: 52.36 / Avg: 52.4 / Max: 52.45Min: 50.68 / Avg: 50.71 / Max: 50.77Min: 52.24 / Avg: 52.55 / Max: 52.95Min: 52.18 / Avg: 52.25 / Max: 52.33Min: 52.31 / Avg: 52.33 / Max: 52.37Min: 51.75 / Avg: 51.76 / Max: 51.79Min: 44.68 / Avg: 44.72 / Max: 44.77Min: 44.25 / Avg: 44.35 / Max: 44.54Min: 46.59 / Avg: 46.62 / Max: 46.66Min: 51.79 / Avg: 51.81 / Max: 51.83Min: 44.82 / Avg: 44.83 / Max: 44.86Min: 42.53 / Avg: 42.54 / Max: 42.54Min: 42.57 / Avg: 42.58 / Max: 42.591. (CC) gcc options: -lm

AOBench

AOBench is a lightweight ambient occlusion renderer, written in C. The test profile is using a size of 2048 x 2048. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterAOBenchSize: 2048 x 2048 - Total TimeEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1020304050SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.44, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.18, N = 340.5440.5739.2841.2638.7538.7938.7139.4538.2239.3339.3239.4038.8933.4633.3135.1442.8936.8534.9435.081. (CC) gcc options: -lm -O3
OpenBenchmarking.orgSeconds, Fewer Is BetterAOBenchSize: 2048 x 2048 - Total TimeEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R918273645Min: 40.53 / Avg: 40.54 / Max: 40.55Min: 40.54 / Avg: 40.57 / Max: 40.6Min: 39.27 / Avg: 39.28 / Max: 39.31Min: 41.23 / Avg: 41.26 / Max: 41.28Min: 38.73 / Avg: 38.75 / Max: 38.75Min: 38.75 / Avg: 38.79 / Max: 38.86Min: 38.7 / Avg: 38.71 / Max: 38.72Min: 39.43 / Avg: 39.45 / Max: 39.47Min: 38.17 / Avg: 38.22 / Max: 38.31Min: 39.32 / Avg: 39.33 / Max: 39.34Min: 39.3 / Avg: 39.32 / Max: 39.32Min: 39.32 / Avg: 39.4 / Max: 39.48Min: 38.87 / Avg: 38.89 / Max: 38.91Min: 33.44 / Avg: 33.46 / Max: 33.5Min: 33.26 / Avg: 33.31 / Max: 33.35Min: 35.08 / Avg: 35.14 / Max: 35.26Min: 42.38 / Avg: 42.89 / Max: 43.77Min: 36.78 / Avg: 36.85 / Max: 36.97Min: 34.82 / Avg: 34.94 / Max: 35.13Min: 34.88 / Avg: 35.08 / Max: 35.451. (CC) gcc options: -lm -O3

SciMark

This test runs the ANSI C version of SciMark 2.0, which is a benchmark for scientific and numerical computing developed by programmers at the National Institute of Standards and Technology. This test is made up of Fast Foruier Transform, Jacobi Successive Over-relaxation, Monte Carlo, Sparse Matrix Multiply, and dense LU matrix factorization benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Jacobi Successive Over-RelaxationEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R30060090012001500SE +/- 0.14, N = 3SE +/- 0.20, N = 3SE +/- 0.23, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.22, N = 3SE +/- 0.14, N = 3SE +/- 0.59, N = 3SE +/- 0.26, N = 3SE +/- 0.29, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.15, N = 3SE +/- 0.09, N = 3SE +/- 0.25, N = 3SE +/- 0.16, N = 3SE +/- 0.30, N = 3SE +/- 0.62, N = 3SE +/- 0.11, N = 3SE +/- 0.15, N = 3954.57954.77984.81939.99999.521000.18999.56982.881015.11985.33985.06985.70996.681159.531164.221103.94905.431047.061104.161104.321. (CC) gcc options: -lm
OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Jacobi Successive Over-RelaxationEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R2004006008001000Min: 954.32 / Avg: 954.57 / Max: 954.81Min: 954.47 / Avg: 954.77 / Max: 955.16Min: 984.35 / Avg: 984.81 / Max: 985.07Min: 939.93 / Avg: 939.99 / Max: 940.08Min: 999.42 / Avg: 999.52 / Max: 999.62Min: 999.84 / Avg: 1000.18 / Max: 1000.6Min: 999.32 / Avg: 999.56 / Max: 999.82Min: 982.03 / Avg: 982.88 / Max: 984.01Min: 1014.63 / Avg: 1015.11 / Max: 1015.51Min: 984.87 / Avg: 985.33 / Max: 985.87Min: 984.94 / Avg: 985.06 / Max: 985.16Min: 985.56 / Avg: 985.7 / Max: 985.81Min: 996.53 / Avg: 996.68 / Max: 996.97Min: 1159.36 / Avg: 1159.53 / Max: 1159.67Min: 1163.84 / Avg: 1164.22 / Max: 1164.7Min: 1103.64 / Avg: 1103.94 / Max: 1104.19Min: 904.99 / Avg: 905.43 / Max: 906Min: 1045.82 / Avg: 1047.06 / Max: 1047.8Min: 1104 / Avg: 1104.16 / Max: 1104.36Min: 1104.06 / Avg: 1104.32 / Max: 1104.581. (CC) gcc options: -lm

FFTW

FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 1D FFT Size 32EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3K6K9K12K15KSE +/- 44.12, N = 3SE +/- 57.25, N = 3SE +/- 24.18, N = 3SE +/- 26.03, N = 3SE +/- 16.44, N = 3SE +/- 17.82, N = 3SE +/- 20.22, N = 3SE +/- 16.29, N = 3SE +/- 99.28, N = 3SE +/- 61.76, N = 3SE +/- 14.15, N = 3SE +/- 12.03, N = 3SE +/- 101.29, N = 11SE +/- 23.39, N = 3SE +/- 91.46, N = 3SE +/- 12.57, N = 3SE +/- 96.71, N = 15SE +/- 16.83, N = 3SE +/- 405.26, N = 12SE +/- 145.35, N = 311070.011146.011486.010901.011650.011589.011708.011459.011671.011488.011476.011511.011479.013536.013599.012827.010612.011977.011943.512491.01. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 1D FFT Size 32EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R2K4K6K8K10KMin: 11001 / Avg: 11069.67 / Max: 11152Min: 11050 / Avg: 11145.67 / Max: 11248Min: 11452 / Avg: 11486.33 / Max: 11533Min: 10858 / Avg: 10901.33 / Max: 10948Min: 11625 / Avg: 11650 / Max: 11681Min: 11567 / Avg: 11588.67 / Max: 11624Min: 11668 / Avg: 11708.33 / Max: 11731Min: 11427 / Avg: 11459.33 / Max: 11479Min: 11474 / Avg: 11671 / Max: 11791Min: 11390 / Avg: 11487.67 / Max: 11602Min: 11452 / Avg: 11476.33 / Max: 11501Min: 11493 / Avg: 11511.33 / Max: 11534Min: 10588 / Avg: 11479.45 / Max: 11738Min: 13491 / Avg: 13536.33 / Max: 13569Min: 13417 / Avg: 13598.67 / Max: 13708Min: 12803 / Avg: 12827.33 / Max: 12845Min: 10293 / Avg: 10611.87 / Max: 11301Min: 11956 / Avg: 11976.67 / Max: 12010Min: 9919.4 / Avg: 11943.45 / Max: 13856Min: 12201 / Avg: 12491.33 / Max: 126491. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

SciMark

This test runs the ANSI C version of SciMark 2.0, which is a benchmark for scientific and numerical computing developed by programmers at the National Institute of Standards and Technology. This test is made up of Fast Foruier Transform, Jacobi Successive Over-relaxation, Monte Carlo, Sparse Matrix Multiply, and dense LU matrix factorization benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: CompositeEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R140280420560700SE +/- 3.15, N = 3SE +/- 4.78, N = 3SE +/- 2.24, N = 3SE +/- 1.70, N = 3SE +/- 0.69, N = 3SE +/- 2.27, N = 3SE +/- 1.68, N = 3SE +/- 6.57, N = 5SE +/- 1.77, N = 3SE +/- 1.97, N = 3SE +/- 0.97, N = 3SE +/- 1.27, N = 3SE +/- 2.23, N = 3SE +/- 3.78, N = 3SE +/- 3.29, N = 3SE +/- 2.20, N = 3SE +/- 0.17, N = 3SE +/- 0.13, N = 3SE +/- 0.13, N = 3SE +/- 0.17, N = 3514.90522.70546.00522.61552.58553.03554.85498.78555.91548.14544.37547.26553.10627.38638.63610.59512.76570.10619.92615.951. (CC) gcc options: -lm
OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: CompositeEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R110220330440550Min: 509.41 / Avg: 514.9 / Max: 520.31Min: 515.19 / Avg: 522.7 / Max: 531.59Min: 543.31 / Avg: 546 / Max: 550.44Min: 519.72 / Avg: 522.61 / Max: 525.6Min: 551.19 / Avg: 552.58 / Max: 553.32Min: 549.37 / Avg: 553.03 / Max: 557.19Min: 551.67 / Avg: 554.85 / Max: 557.36Min: 482.34 / Avg: 498.78 / Max: 510.26Min: 553.76 / Avg: 555.91 / Max: 559.42Min: 544.84 / Avg: 548.14 / Max: 551.64Min: 543.29 / Avg: 544.37 / Max: 546.31Min: 544.73 / Avg: 547.26 / Max: 548.69Min: 548.69 / Avg: 553.1 / Max: 555.94Min: 620.31 / Avg: 627.38 / Max: 633.22Min: 633.32 / Avg: 638.63 / Max: 644.64Min: 606.95 / Avg: 610.59 / Max: 614.54Min: 512.53 / Avg: 512.76 / Max: 513.08Min: 569.85 / Avg: 570.1 / Max: 570.26Min: 619.69 / Avg: 619.92 / Max: 620.13Min: 615.71 / Avg: 615.95 / Max: 616.281. (CC) gcc options: -lm

Polyhedron Fortran Benchmarks

The Fortran.uk Polyhedron Fortran Benchmarks for comparing Fortran compiler performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: linpkEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R0.9181.8362.7543.6724.593.643.353.363.423.353.363.343.423.343.413.383.423.363.203.263.313.814.083.603.47

Botan

Botan is a cross-platform open-source C++ crypto library that supports most all publicly known cryptographic algorithms. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: CAST-256EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R306090120150SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.20, N = 3SE +/- 0.16, N = 3SE +/- 0.13, N = 3SE +/- 0.01, N = 3SE +/- 0.15, N = 3SE +/- 0.10, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 3112.59112.79116.33110.95118.08118.15118.07116.34119.93116.39116.27116.34117.51136.44137.29130.42108.13125.23131.53131.811. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: CAST-256EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R306090120150Min: 112.52 / Avg: 112.59 / Max: 112.7Min: 112.66 / Avg: 112.79 / Max: 112.89Min: 116.27 / Avg: 116.33 / Max: 116.42Min: 110.9 / Avg: 110.95 / Max: 111.06Min: 117.97 / Avg: 118.07 / Max: 118.15Min: 118.1 / Avg: 118.15 / Max: 118.18Min: 118 / Avg: 118.07 / Max: 118.14Min: 116.29 / Avg: 116.34 / Max: 116.37Min: 119.91 / Avg: 119.93 / Max: 119.95Min: 116.37 / Avg: 116.39 / Max: 116.42Min: 116.21 / Avg: 116.27 / Max: 116.31Min: 116.33 / Avg: 116.34 / Max: 116.36Min: 117.11 / Avg: 117.51 / Max: 117.71Min: 136.12 / Avg: 136.44 / Max: 136.6Min: 137.03 / Avg: 137.29 / Max: 137.45Min: 130.4 / Avg: 130.42 / Max: 130.44Min: 107.94 / Avg: 108.13 / Max: 108.42Min: 125.09 / Avg: 125.23 / Max: 125.42Min: 131.35 / Avg: 131.53 / Max: 131.69Min: 131.71 / Avg: 131.81 / Max: 131.891. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

Darmstadt Automotive Parallel Heterogeneous Suite

DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Euclidean ClusterEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R2004006008001000SE +/- 1.71, N = 3SE +/- 1.82, N = 3SE +/- 1.41, N = 3SE +/- 3.05, N = 3SE +/- 0.85, N = 3SE +/- 2.19, N = 3SE +/- 2.21, N = 3SE +/- 3.86, N = 3SE +/- 2.79, N = 3SE +/- 1.86, N = 3SE +/- 0.99, N = 3SE +/- 0.05, N = 3SE +/- 3.04, N = 3SE +/- 2.65, N = 3SE +/- 1.62, N = 3SE +/- 0.81, N = 3SE +/- 2.09, N = 3SE +/- 1.33, N = 3SE +/- 4.48, N = 3SE +/- 0.66, N = 3871.81918.81930.43877.83949.99940.24957.98915.08971.19938.95945.95942.70912.661021.521070.511020.30910.15948.341039.711105.911. (CXX) g++ options: -O3 -std=c++11 -fopenmp
OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Euclidean ClusterEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R2004006008001000Min: 869.8 / Avg: 871.81 / Max: 875.21Min: 916.37 / Avg: 918.81 / Max: 922.37Min: 928.27 / Avg: 930.43 / Max: 933.08Min: 873.21 / Avg: 877.83 / Max: 883.6Min: 948.99 / Avg: 949.99 / Max: 951.68Min: 936.37 / Avg: 940.24 / Max: 943.96Min: 954.44 / Avg: 957.98 / Max: 962.03Min: 908.66 / Avg: 915.08 / Max: 922Min: 965.61 / Avg: 971.19 / Max: 974.12Min: 936.51 / Avg: 938.95 / Max: 942.6Min: 944.15 / Avg: 945.95 / Max: 947.58Min: 942.6 / Avg: 942.7 / Max: 942.78Min: 907.1 / Avg: 912.66 / Max: 917.55Min: 1017.45 / Avg: 1021.52 / Max: 1026.49Min: 1068.74 / Avg: 1070.51 / Max: 1073.75Min: 1019.2 / Avg: 1020.3 / Max: 1021.87Min: 906.39 / Avg: 910.15 / Max: 913.6Min: 946.8 / Avg: 948.34 / Max: 950.98Min: 1030.89 / Avg: 1039.71 / Max: 1045.48Min: 1104.98 / Avg: 1105.91 / Max: 1107.191. (CXX) g++ options: -O3 -std=c++11 -fopenmp

LZMA Compression

This test measures the time needed to compress a file using LZMA compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterLZMA Compression256MB File CompressionEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R70140210280350SE +/- 0.27, N = 3SE +/- 0.40, N = 3SE +/- 0.19, N = 3SE +/- 0.40, N = 3SE +/- 0.22, N = 3SE +/- 0.43, N = 3SE +/- 0.42, N = 3SE +/- 0.79, N = 3SE +/- 0.41, N = 3SE +/- 0.21, N = 3SE +/- 0.42, N = 3SE +/- 0.38, N = 3SE +/- 0.13, N = 3SE +/- 0.42, N = 3SE +/- 0.22, N = 3SE +/- 0.16, N = 3SE +/- 0.22, N = 3SE +/- 0.11, N = 3SE +/- 0.28, N = 3SE +/- 0.42, N = 3317.25295.00287.70303.03283.80284.17283.69289.39280.26288.66287.72287.49285.86253.15250.34262.15314.03291.80266.47266.911. (CXX) g++ options: -O2
OpenBenchmarking.orgSeconds, Fewer Is BetterLZMA Compression256MB File CompressionEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R60120180240300Min: 316.76 / Avg: 317.25 / Max: 317.67Min: 294.38 / Avg: 295 / Max: 295.76Min: 287.32 / Avg: 287.7 / Max: 287.89Min: 302.31 / Avg: 303.03 / Max: 303.67Min: 283.5 / Avg: 283.8 / Max: 284.24Min: 283.53 / Avg: 284.17 / Max: 284.98Min: 283.03 / Avg: 283.69 / Max: 284.46Min: 287.82 / Avg: 289.39 / Max: 290.18Min: 279.55 / Avg: 280.26 / Max: 280.97Min: 288.26 / Avg: 288.66 / Max: 288.94Min: 286.99 / Avg: 287.72 / Max: 288.45Min: 287.04 / Avg: 287.49 / Max: 288.24Min: 285.61 / Avg: 285.86 / Max: 286.04Min: 252.34 / Avg: 253.15 / Max: 253.74Min: 250.1 / Avg: 250.34 / Max: 250.78Min: 261.93 / Avg: 262.15 / Max: 262.47Min: 313.79 / Avg: 314.03 / Max: 314.47Min: 291.63 / Avg: 291.8 / Max: 292.01Min: 266.16 / Avg: 266.47 / Max: 267.03Min: 266.12 / Avg: 266.91 / Max: 267.541. (CXX) g++ options: -O2

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: json_loadsEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R816243240SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 333.433.332.334.231.731.731.832.431.332.232.432.432.027.427.428.933.028.427.028.2
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R714212835Min: 33.3 / Avg: 33.37 / Max: 33.4Min: 33.2 / Avg: 33.27 / Max: 33.3Min: 32.3 / Avg: 32.33 / Max: 32.4Min: 34.2 / Avg: 34.23 / Max: 34.3Min: 31.7 / Avg: 31.73 / Max: 31.8Min: 31.7 / Avg: 31.7 / Max: 31.7Min: 31.7 / Avg: 31.77 / Max: 31.8Min: 32.3 / Avg: 32.37 / Max: 32.4Min: 31.3 / Avg: 31.33 / Max: 31.4Min: 32.2 / Avg: 32.2 / Max: 32.2Min: 32.4 / Avg: 32.43 / Max: 32.5Min: 32.4 / Avg: 32.4 / Max: 32.4Min: 31.9 / Avg: 32 / Max: 32.1Min: 27.3 / Avg: 27.37 / Max: 27.4Min: 27.3 / Avg: 27.4 / Max: 27.5Min: 28.9 / Avg: 28.9 / Max: 28.9Min: 32.9 / Avg: 33 / Max: 33.1Min: 28.3 / Avg: 28.37 / Max: 28.4Min: 26.9 / Avg: 26.97 / Max: 27Min: 28 / Avg: 28.17 / Max: 28.4

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R12002400360048006000SE +/- 15.06, N = 4SE +/- 13.83, N = 4SE +/- 20.47, N = 4SE +/- 13.86, N = 4SE +/- 8.63, N = 4SE +/- 10.06, N = 4SE +/- 23.46, N = 4SE +/- 16.79, N = 4SE +/- 6.71, N = 4SE +/- 2.06, N = 4SE +/- 26.63, N = 4SE +/- 8.68, N = 4SE +/- 5.61, N = 4SE +/- 30.31, N = 4SE +/- 18.72, N = 4SE +/- 19.39, N = 4SE +/- 35.63, N = 4SE +/- 65.70, N = 4SE +/- 48.91, N = 4SE +/- 28.33, N = 455545358526855305160516851345271507752075239524351884653446246715632506849234592
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R10002000300040005000Min: 5524 / Avg: 5554.25 / Max: 5594Min: 5328 / Avg: 5358 / Max: 5382Min: 5226 / Avg: 5268 / Max: 5324Min: 5509 / Avg: 5530 / Max: 5570Min: 5139 / Avg: 5159.75 / Max: 5178Min: 5149 / Avg: 5167.75 / Max: 5191Min: 5065 / Avg: 5133.5 / Max: 5168Min: 5250 / Avg: 5271.25 / Max: 5321Min: 5063 / Avg: 5076.75 / Max: 5093Min: 5202 / Avg: 5207.25 / Max: 5211Min: 5192 / Avg: 5238.75 / Max: 5315Min: 5228 / Avg: 5243.25 / Max: 5267Min: 5179 / Avg: 5187.5 / Max: 5204Min: 4584 / Avg: 4653.25 / Max: 4730Min: 4430 / Avg: 4461.75 / Max: 4507Min: 4627 / Avg: 4671 / Max: 4711Min: 5571 / Avg: 5632.25 / Max: 5723Min: 4925 / Avg: 5068 / Max: 5222Min: 4836 / Avg: 4922.5 / Max: 5052Min: 4537 / Avg: 4591.5 / Max: 4657

Botan

Botan is a cross-platform open-source C++ crypto library that supports most all publicly known cryptographic algorithms. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: TwofishEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R80160240320400SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 3SE +/- 0.15, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.14, N = 3SE +/- 0.20, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.35, N = 3SE +/- 0.32, N = 3SE +/- 0.11, N = 3SE +/- 0.21, N = 3288.79288.71297.66283.96302.31302.33302.38297.88306.83298.00297.79297.96301.30349.06351.65333.87279.46323.69341.16340.951. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: TwofishEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R60120180240300Min: 288.69 / Avg: 288.79 / Max: 288.94Min: 288.64 / Avg: 288.71 / Max: 288.82Min: 297.46 / Avg: 297.66 / Max: 297.95Min: 283.71 / Avg: 283.96 / Max: 284.24Min: 302.23 / Avg: 302.31 / Max: 302.38Min: 302.17 / Avg: 302.33 / Max: 302.45Min: 302.31 / Avg: 302.37 / Max: 302.42Min: 297.79 / Avg: 297.88 / Max: 297.94Min: 306.75 / Avg: 306.83 / Max: 306.95Min: 297.78 / Avg: 298 / Max: 298.16Min: 297.63 / Avg: 297.78 / Max: 297.96Min: 297.9 / Avg: 297.96 / Max: 298.06Min: 301.1 / Avg: 301.3 / Max: 301.58Min: 348.75 / Avg: 349.06 / Max: 349.44Min: 351.48 / Avg: 351.65 / Max: 351.75Min: 333.76 / Avg: 333.87 / Max: 333.94Min: 279.07 / Avg: 279.46 / Max: 280.16Min: 323.07 / Avg: 323.69 / Max: 324.15Min: 340.96 / Avg: 341.16 / Max: 341.33Min: 340.53 / Avg: 340.95 / Max: 341.211. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

ECP-CANDLE

The CANDLE benchmark codes implement deep learning architectures relevant to problems in cancer. These architectures address problems at different biological scales, specifically problems at the molecular, cellular and population scales. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterECP-CANDLE 0.3Benchmark: P1B2EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R112233445545.6845.1242.7244.8442.1242.8042.5144.0942.3443.9944.3344.9545.3538.5637.6840.2247.1841.6939.5540.40

SQLite Speedtest

This is a benchmark of SQLite's speedtest1 benchmark program with an increased problem size of 1,000. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R20406080100SE +/- 0.19, N = 3SE +/- 0.19, N = 3SE +/- 0.03, N = 3SE +/- 0.72, N = 3SE +/- 0.16, N = 3SE +/- 0.21, N = 3SE +/- 0.17, N = 3SE +/- 0.18, N = 3SE +/- 0.20, N = 3SE +/- 0.12, N = 3SE +/- 0.11, N = 3SE +/- 0.13, N = 3SE +/- 0.42, N = 3SE +/- 0.29, N = 3SE +/- 0.11, N = 3SE +/- 0.56, N = 3SE +/- 0.24, N = 3SE +/- 0.13, N = 3SE +/- 0.18, N = 3SE +/- 0.46, N = 379.6277.9176.0181.0875.2975.2175.7577.1074.1976.3676.3076.7576.0566.8766.3270.4676.7769.9665.0169.251. (CC) gcc options: -O2 -ldl -lz -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1530456075Min: 79.29 / Avg: 79.62 / Max: 79.94Min: 77.55 / Avg: 77.91 / Max: 78.17Min: 75.96 / Avg: 76.01 / Max: 76.07Min: 79.79 / Avg: 81.08 / Max: 82.29Min: 75.01 / Avg: 75.29 / Max: 75.56Min: 74.92 / Avg: 75.21 / Max: 75.61Min: 75.53 / Avg: 75.75 / Max: 76.08Min: 76.76 / Avg: 77.1 / Max: 77.4Min: 73.93 / Avg: 74.19 / Max: 74.6Min: 76.23 / Avg: 76.36 / Max: 76.6Min: 76.13 / Avg: 76.3 / Max: 76.49Min: 76.49 / Avg: 76.75 / Max: 76.94Min: 75.26 / Avg: 76.05 / Max: 76.72Min: 66.42 / Avg: 66.87 / Max: 67.4Min: 66.19 / Avg: 66.32 / Max: 66.53Min: 69.4 / Avg: 70.46 / Max: 71.3Min: 76.51 / Avg: 76.77 / Max: 77.26Min: 69.7 / Avg: 69.96 / Max: 70.12Min: 64.76 / Avg: 65.01 / Max: 65.36Min: 68.66 / Avg: 69.25 / Max: 70.161. (CC) gcc options: -O2 -ldl -lz -lpthread

Tesseract OCR

Tesseract-OCR is the open-source optical character recognition (OCR) engine for the conversion of text within images to raw text output. This test profile relies upon a system-supplied Tesseract installation. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.1.1Time To OCR 7 ImagesEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R816243240SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.16, N = 3SE +/- 0.10, N = 3SE +/- 0.17, N = 3SE +/- 0.19, N = 3SE +/- 0.06, N = 3SE +/- 0.20, N = 3SE +/- 0.07, N = 3SE +/- 0.13, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 332.4332.1131.5232.6531.0831.2530.9531.5030.7331.1631.4731.3631.0427.4627.0628.6633.7029.0229.0228.46
OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.1.1Time To OCR 7 ImagesEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R714212835Min: 32.4 / Avg: 32.43 / Max: 32.45Min: 32.02 / Avg: 32.11 / Max: 32.2Min: 31.41 / Avg: 31.52 / Max: 31.71Min: 32.51 / Avg: 32.65 / Max: 32.79Min: 30.92 / Avg: 31.08 / Max: 31.4Min: 31.05 / Avg: 31.25 / Max: 31.39Min: 30.61 / Avg: 30.95 / Max: 31.12Min: 31.22 / Avg: 31.5 / Max: 31.87Min: 30.61 / Avg: 30.73 / Max: 30.81Min: 30.94 / Avg: 31.16 / Max: 31.56Min: 31.39 / Avg: 31.47 / Max: 31.61Min: 31.16 / Avg: 31.36 / Max: 31.61Min: 30.94 / Avg: 31.04 / Max: 31.21Min: 27.36 / Avg: 27.46 / Max: 27.59Min: 27.03 / Avg: 27.06 / Max: 27.08Min: 28.48 / Avg: 28.66 / Max: 28.8Min: 33.61 / Avg: 33.7 / Max: 33.84Min: 28.93 / Avg: 29.02 / Max: 29.11Min: 28.96 / Avg: 29.02 / Max: 29.07Min: 28.41 / Avg: 28.46 / Max: 28.54

TSCP

This is a performance test of TSCP, Tom Kerrigan's Simple Chess Program, which has a built-in performance benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterTSCP 1.81AI Chess PerformanceEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R300K600K900K1200K1500KSE +/- 1232.94, N = 5SE +/- 673.05, N = 5SE +/- 567.47, N = 5SE +/- 1494.44, N = 5SE +/- 903.80, N = 5SE +/- 736.20, N = 5SE +/- 823.10, N = 5SE +/- 910.04, N = 5SE +/- 968.31, N = 5SE +/- 913.57, N = 5SE +/- 712.78, N = 5SE +/- 567.47, N = 5SE +/- 893.15, N = 5SE +/- 3053.58, N = 5SE +/- 1687.74, N = 5SE +/- 551.87, N = 5SE +/- 1018.43, N = 5SE +/- 2299.63, N = 5SE +/- 2035.05, N = 5SE +/- 1839.63, N = 5960888962227994185944092100727810058051006909991681102299399311199132299418510028761163483117038311140349669591116762117538311748791. (CC) gcc options: -O3 -march=native
OpenBenchmarking.orgNodes Per Second, More Is BetterTSCP 1.81AI Chess PerformanceEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R200K400K600K800K1000KMin: 957874 / Avg: 960888.4 / Max: 964584Min: 961218 / Avg: 962227.2 / Max: 964584Min: 992392 / Avg: 994185 / Max: 995981Min: 938293 / Avg: 944091.8 / Max: 946353Min: 1005069 / Avg: 1007277.6 / Max: 1010601Min: 1005069 / Avg: 1005805.2 / Max: 1008750Min: 1005069 / Avg: 1006908.8 / Max: 1008750Min: 988829 / Avg: 991680.8 / Max: 994184Min: 1019959 / Avg: 1022993.4 / Max: 1025657Min: 990607 / Avg: 993111.2 / Max: 995981Min: 988829 / Avg: 991322.4 / Max: 992392Min: 992392 / Avg: 994185 / Max: 995981Min: 999597 / Avg: 1002876 / Max: 1005069Min: 1152255 / Avg: 1163483.4 / Max: 1169380Min: 1166902 / Avg: 1170383.2 / Max: 1174366Min: 1112682 / Avg: 1114033.8 / Max: 1114935Min: 964584 / Avg: 966959.4 / Max: 969679Min: 1108205 / Avg: 1116762.2 / Max: 1121747Min: 1169380 / Avg: 1175383.2 / Max: 1179396Min: 1169380 / Avg: 1174879.2 / Max: 11793961. (CC) gcc options: -O3 -march=native

Botan

Botan is a cross-platform open-source C++ crypto library that supports most all publicly known cryptographic algorithms. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: BlowfishEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R90180270360450SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.34, N = 3SE +/- 0.28, N = 3SE +/- 0.11, N = 3SE +/- 0.06, N = 3SE +/- 4.59, N = 4SE +/- 0.29, N = 3SE +/- 0.24, N = 3SE +/- 0.09, N = 3SE +/- 0.11, N = 3SE +/- 0.52, N = 3SE +/- 0.85, N = 3SE +/- 0.17, N = 3SE +/- 0.08, N = 3SE +/- 0.66, N = 3SE +/- 0.16, N = 3SE +/- 0.79, N = 3SE +/- 0.52, N = 3348.20348.10359.12341.93364.33364.53364.47354.73370.17358.90359.14359.12362.64420.08424.12402.57341.31396.05416.60417.141. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: BlowfishEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R80160240320400Min: 348.13 / Avg: 348.2 / Max: 348.25Min: 348.07 / Avg: 348.1 / Max: 348.12Min: 358.96 / Avg: 359.12 / Max: 359.25Min: 341.43 / Avg: 341.93 / Max: 342.57Min: 363.76 / Avg: 364.33 / Max: 364.62Min: 364.38 / Avg: 364.53 / Max: 364.74Min: 364.4 / Avg: 364.47 / Max: 364.59Min: 340.96 / Avg: 354.73 / Max: 359.49Min: 369.59 / Avg: 370.17 / Max: 370.5Min: 358.44 / Avg: 358.9 / Max: 359.26Min: 359.02 / Avg: 359.14 / Max: 359.3Min: 358.94 / Avg: 359.12 / Max: 359.32Min: 361.93 / Avg: 362.64 / Max: 363.65Min: 419.22 / Avg: 420.08 / Max: 421.77Min: 423.79 / Avg: 424.12 / Max: 424.37Min: 402.41 / Avg: 402.57 / Max: 402.69Min: 340.02 / Avg: 341.31 / Max: 342.19Min: 395.83 / Avg: 396.05 / Max: 396.37Min: 415.37 / Avg: 416.6 / Max: 418.06Min: 416.6 / Avg: 417.14 / Max: 418.181. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

Scikit-Learn

Scikit-learn is a Python module for machine learning Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 0.22.1EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215SE +/- 0.061, N = 3SE +/- 0.013, N = 3SE +/- 0.012, N = 3SE +/- 0.011, N = 3SE +/- 0.012, N = 3SE +/- 0.024, N = 3SE +/- 0.017, N = 3SE +/- 0.021, N = 3SE +/- 0.042, N = 3SE +/- 0.022, N = 3SE +/- 0.186, N = 14SE +/- 0.055, N = 3SE +/- 0.010, N = 3SE +/- 0.016, N = 3SE +/- 0.150, N = 14SE +/- 0.019, N = 3SE +/- 0.058, N = 3SE +/- 0.092, N = 3SE +/- 0.051, N = 3SE +/- 0.120, N = 312.18311.29611.22911.70011.03010.95910.87311.20510.68811.10011.22210.95610.76510.1019.97310.12212.39211.94710.69310.641
OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 0.22.1EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R48121620Min: 12.1 / Avg: 12.18 / Max: 12.3Min: 11.28 / Avg: 11.3 / Max: 11.32Min: 11.22 / Avg: 11.23 / Max: 11.25Min: 11.68 / Avg: 11.7 / Max: 11.72Min: 11.01 / Avg: 11.03 / Max: 11.05Min: 10.93 / Avg: 10.96 / Max: 11.01Min: 10.84 / Avg: 10.87 / Max: 10.89Min: 11.17 / Avg: 11.21 / Max: 11.24Min: 10.63 / Avg: 10.69 / Max: 10.77Min: 11.06 / Avg: 11.1 / Max: 11.13Min: 10.92 / Avg: 11.22 / Max: 13.63Min: 10.85 / Avg: 10.96 / Max: 11.03Min: 10.75 / Avg: 10.77 / Max: 10.78Min: 10.08 / Avg: 10.1 / Max: 10.13Min: 9.75 / Avg: 9.97 / Max: 11.92Min: 10.09 / Avg: 10.12 / Max: 10.15Min: 12.28 / Avg: 12.39 / Max: 12.48Min: 11.79 / Avg: 11.95 / Max: 12.1Min: 10.59 / Avg: 10.69 / Max: 10.77Min: 10.49 / Avg: 10.64 / Max: 10.88

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: regex_compileEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R4080120160200SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3203202196205193192192196190193195195193168166176201175165172
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R4080120160200Min: 203 / Avg: 203.33 / Max: 204Min: 193 / Avg: 193.33 / Max: 194Min: 165 / Avg: 165.67 / Max: 166

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R130260390520650SE +/- 0.58, N = 3SE +/- 1.45, N = 3SE +/- 1.20, N = 3SE +/- 0.58, N = 3SE +/- 1.86, N = 3SE +/- 0.58, N = 3SE +/- 1.20, N = 3SE +/- 0.88, N = 3SE +/- 2.31, N = 3SE +/- 1.20, N = 3SE +/- 1.76, N = 3SE +/- 0.33, N = 3SE +/- 0.88, N = 3SE +/- 0.33, N = 3576575559585551552550561544558571561554471474500580502477496
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R100200300400500Min: 575 / Avg: 576 / Max: 577Min: 573 / Avg: 575.33 / Max: 578Min: 557 / Avg: 558.67 / Max: 561Min: 584 / Avg: 585 / Max: 586Min: 549 / Avg: 551.33 / Max: 555Min: 551 / Avg: 552 / Max: 553Min: 548 / Avg: 550.33 / Max: 552Min: 560 / Avg: 561.33 / Max: 563Min: 540 / Avg: 544 / Max: 548Min: 569 / Avg: 570.67 / Max: 573Min: 551 / Avg: 554.33 / Max: 557Min: 471 / Avg: 471.33 / Max: 472Min: 473 / Avg: 474.33 / Max: 476Min: 476 / Avg: 476.67 / Max: 477

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R510152025SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 321.621.220.521.620.020.220.120.520.020.320.520.520.517.517.418.921.418.617.718.4
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R510152025Min: 21.5 / Avg: 21.57 / Max: 21.6Min: 21.2 / Avg: 21.2 / Max: 21.2Min: 20.5 / Avg: 20.5 / Max: 20.5Min: 21.6 / Avg: 21.6 / Max: 21.6Min: 20.2 / Avg: 20.2 / Max: 20.2Min: 20.1 / Avg: 20.1 / Max: 20.1Min: 20.5 / Avg: 20.53 / Max: 20.6Min: 20.3 / Avg: 20.3 / Max: 20.3Min: 20.5 / Avg: 20.5 / Max: 20.5Min: 20.5 / Avg: 20.53 / Max: 20.6Min: 20.4 / Avg: 20.47 / Max: 20.5Min: 17.5 / Avg: 17.5 / Max: 17.5Min: 17.3 / Avg: 17.37 / Max: 17.4Min: 18.9 / Avg: 18.93 / Max: 19Min: 21.4 / Avg: 21.4 / Max: 21.4Min: 18.6 / Avg: 18.63 / Max: 18.7Min: 17.6 / Avg: 17.67 / Max: 17.7Min: 18.3 / Avg: 18.37 / Max: 18.4

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: Quality 100, Highest CompressionEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.004, N = 3SE +/- 0.002, N = 3SE +/- 0.004, N = 3SE +/- 0.042, N = 3SE +/- 0.007, N = 3SE +/- 0.005, N = 3SE +/- 0.013, N = 3SE +/- 0.003, N = 3SE +/- 0.010, N = 3SE +/- 0.024, N = 3SE +/- 0.008, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.007, N = 3SE +/- 0.003, N = 3SE +/- 0.023, N = 3SE +/- 0.010, N = 3SE +/- 0.009, N = 39.8369.8329.52810.0249.4049.4369.4009.5649.2669.5439.5509.5569.4468.1248.0878.8569.9078.5848.1448.1511. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215Min: 9.83 / Avg: 9.84 / Max: 9.84Min: 9.83 / Avg: 9.83 / Max: 9.84Min: 9.52 / Avg: 9.53 / Max: 9.53Min: 10.02 / Avg: 10.02 / Max: 10.03Min: 9.4 / Avg: 9.4 / Max: 9.41Min: 9.39 / Avg: 9.44 / Max: 9.52Min: 9.39 / Avg: 9.4 / Max: 9.41Min: 9.56 / Avg: 9.56 / Max: 9.57Min: 9.25 / Avg: 9.27 / Max: 9.29Min: 9.54 / Avg: 9.54 / Max: 9.55Min: 9.54 / Avg: 9.55 / Max: 9.57Min: 9.53 / Avg: 9.56 / Max: 9.6Min: 9.43 / Avg: 9.45 / Max: 9.46Min: 8.12 / Avg: 8.12 / Max: 8.13Min: 8.08 / Avg: 8.09 / Max: 8.09Min: 8.84 / Avg: 8.86 / Max: 8.87Min: 9.9 / Avg: 9.91 / Max: 9.91Min: 8.55 / Avg: 8.58 / Max: 8.63Min: 8.13 / Avg: 8.14 / Max: 8.16Min: 8.14 / Avg: 8.15 / Max: 8.171. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

Botan

Botan is a cross-platform open-source C++ crypto library that supports most all publicly known cryptographic algorithms. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: KASUMIEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R20406080100SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 1.32, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 371.8071.7174.0270.4875.1475.1475.1274.0376.2974.0574.0274.0074.8087.1386.1582.9870.3181.5785.5985.821. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: KASUMIEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R20406080100Min: 71.8 / Avg: 71.8 / Max: 71.81Min: 71.68 / Avg: 71.71 / Max: 71.77Min: 74.01 / Avg: 74.02 / Max: 74.02Min: 70.4 / Avg: 70.48 / Max: 70.61Min: 75.12 / Avg: 75.14 / Max: 75.16Min: 75.11 / Avg: 75.14 / Max: 75.16Min: 75.06 / Avg: 75.12 / Max: 75.17Min: 73.99 / Avg: 74.03 / Max: 74.05Min: 76.28 / Avg: 76.29 / Max: 76.31Min: 74.04 / Avg: 74.05 / Max: 74.09Min: 74.01 / Avg: 74.02 / Max: 74.04Min: 73.98 / Avg: 74 / Max: 74.02Min: 74.73 / Avg: 74.8 / Max: 74.9Min: 86.95 / Avg: 87.13 / Max: 87.22Min: 83.52 / Avg: 86.15 / Max: 87.48Min: 82.97 / Avg: 82.98 / Max: 83Min: 70.26 / Avg: 70.31 / Max: 70.34Min: 81.41 / Avg: 81.57 / Max: 81.66Min: 85.44 / Avg: 85.59 / Max: 85.79Min: 85.79 / Avg: 85.82 / Max: 85.881. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

PostMark

This is a test of NetApp's PostMark benchmark designed to simulate small-file testing similar to the tasks endured by web and mail servers. This test profile will set PostMark to perform 25,000 transactions with 500 files simultaneously with the file sizes ranging between 5 and 512 kilobytes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTPS, More Is BetterPostMark 1.51Disk Transaction PerformanceEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R15003000450060007500SE +/- 46.33, N = 3SE +/- 46.33, N = 3SE +/- 51.00, N = 3SE +/- 51.00, N = 3SE +/- 81.99, N = 3SE +/- 48.33, N = 3SE +/- 48.33, N = 3SE +/- 48.33, N = 3SE +/- 62.67, N = 3SE +/- 56.00, N = 3585959066097581360976199614859546250609760496049604967566881652255556097641064101. (CC) gcc options: -O3
OpenBenchmarking.orgTPS, More Is BetterPostMark 1.51Disk Transaction PerformanceEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R12002400360048006000Min: 5813 / Avg: 5859.33 / Max: 5952Min: 5813 / Avg: 5905.67 / Max: 5952Min: 6097 / Avg: 6199 / Max: 6250Min: 6097 / Avg: 6148 / Max: 6250Min: 5813 / Avg: 5954 / Max: 6097Min: 5952 / Avg: 6048.67 / Max: 6097Min: 5952 / Avg: 6048.67 / Max: 6097Min: 5952 / Avg: 6048.67 / Max: 6097Min: 6756 / Avg: 6881.33 / Max: 6944Min: 6410 / Avg: 6522 / Max: 65781. (CC) gcc options: -O3

LuaJIT

This test profile is a collection of Lua scripts/benchmarks run against a locally-built copy of LuaJIT upstream. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterLuaJIT 2.1-gitTest: Monte CarloEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R100200300400500SE +/- 0.89, N = 3SE +/- 0.06, N = 3SE +/- 0.17, N = 3SE +/- 0.10, N = 3SE +/- 1.04, N = 3SE +/- 1.02, N = 3SE +/- 0.09, N = 3SE +/- 0.16, N = 3SE +/- 0.69, N = 3SE +/- 1.09, N = 3SE +/- 0.03, N = 3SE +/- 0.77, N = 3SE +/- 0.14, N = 3SE +/- 0.18, N = 3SE +/- 0.62, N = 3SE +/- 0.17, N = 3SE +/- 0.15, N = 3SE +/- 0.33, N = 3SE +/- 0.10, N = 3SE +/- 0.26, N = 3388.80387.79399.98381.50407.18407.11405.99401.44412.61400.85400.05400.21404.44471.25472.22448.29385.06444.83469.00469.651. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector
OpenBenchmarking.orgMflops, More Is BetterLuaJIT 2.1-gitTest: Monte CarloEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R80160240320400Min: 387.76 / Avg: 388.8 / Max: 390.57Min: 387.7 / Avg: 387.79 / Max: 387.9Min: 399.65 / Avg: 399.98 / Max: 400.19Min: 381.38 / Avg: 381.5 / Max: 381.69Min: 406.1 / Avg: 407.18 / Max: 409.25Min: 406.04 / Avg: 407.11 / Max: 409.16Min: 405.84 / Avg: 405.99 / Max: 406.14Min: 401.15 / Avg: 401.44 / Max: 401.7Min: 411.86 / Avg: 412.61 / Max: 413.98Min: 399.66 / Avg: 400.85 / Max: 403.02Min: 400 / Avg: 400.05 / Max: 400.1Min: 399.12 / Avg: 400.21 / Max: 401.69Min: 404.16 / Avg: 404.44 / Max: 404.59Min: 470.9 / Avg: 471.25 / Max: 471.48Min: 471 / Avg: 472.22 / Max: 472.99Min: 447.96 / Avg: 448.29 / Max: 448.52Min: 384.81 / Avg: 385.06 / Max: 385.34Min: 444.18 / Avg: 444.83 / Max: 445.28Min: 468.89 / Avg: 469 / Max: 469.2Min: 469.29 / Avg: 469.65 / Max: 470.151. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector

SciMark

This test runs the ANSI C version of SciMark 2.0, which is a benchmark for scientific and numerical computing developed by programmers at the National Institute of Standards and Technology. This test is made up of Fast Foruier Transform, Jacobi Successive Over-relaxation, Monte Carlo, Sparse Matrix Multiply, and dense LU matrix factorization benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Sparse Matrix MultiplyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R150300450600750SE +/- 0.14, N = 3SE +/- 0.78, N = 3SE +/- 0.11, N = 3SE +/- 0.15, N = 3SE +/- 0.24, N = 3SE +/- 0.76, N = 3SE +/- 0.30, N = 3SE +/- 3.52, N = 3SE +/- 0.93, N = 3SE +/- 0.47, N = 3SE +/- 0.44, N = 3SE +/- 0.32, N = 3SE +/- 0.10, N = 3SE +/- 0.94, N = 3SE +/- 0.07, N = 3SE +/- 0.11, N = 3SE +/- 0.11, N = 3SE +/- 0.15, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3582.51585.04603.65576.35612.93612.90613.09576.87621.71603.18602.54602.90610.69708.70711.31676.60581.34665.71706.74706.351. (CC) gcc options: -lm
OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Sparse Matrix MultiplyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R130260390520650Min: 582.29 / Avg: 582.51 / Max: 582.76Min: 583.83 / Avg: 585.04 / Max: 586.49Min: 603.44 / Avg: 603.65 / Max: 603.83Min: 576.11 / Avg: 576.35 / Max: 576.62Min: 612.59 / Avg: 612.93 / Max: 613.4Min: 611.4 / Avg: 612.9 / Max: 613.87Min: 612.5 / Avg: 613.09 / Max: 613.41Min: 573.33 / Avg: 576.87 / Max: 583.91Min: 619.97 / Avg: 621.71 / Max: 623.15Min: 602.29 / Avg: 603.18 / Max: 603.86Min: 601.67 / Avg: 602.54 / Max: 603.13Min: 602.3 / Avg: 602.9 / Max: 603.4Min: 610.52 / Avg: 610.69 / Max: 610.88Min: 706.98 / Avg: 708.7 / Max: 710.23Min: 711.2 / Avg: 711.31 / Max: 711.44Min: 676.4 / Avg: 676.6 / Max: 676.79Min: 581.18 / Avg: 581.34 / Max: 581.54Min: 665.5 / Avg: 665.71 / Max: 666Min: 706.58 / Avg: 706.74 / Max: 706.88Min: 706.2 / Avg: 706.35 / Max: 706.51. (CC) gcc options: -lm

Darmstadt Automotive Parallel Heterogeneous Suite

DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: NDT MappingEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R2004006008001000SE +/- 3.36, N = 3SE +/- 0.25, N = 3SE +/- 0.46, N = 3SE +/- 2.85, N = 3SE +/- 0.68, N = 3SE +/- 1.78, N = 3SE +/- 1.08, N = 3SE +/- 1.54, N = 3SE +/- 3.24, N = 3SE +/- 0.94, N = 3SE +/- 1.39, N = 3SE +/- 2.73, N = 3SE +/- 3.48, N = 3SE +/- 3.65, N = 3SE +/- 2.32, N = 3SE +/- 5.55, N = 3SE +/- 0.63, N = 3SE +/- 0.91, N = 3SE +/- 3.12, N = 3SE +/- 1.44, N = 3835.61842.39867.20796.41872.05871.26873.70817.76881.28863.06866.72856.44843.29906.95956.94905.21779.60837.35863.11902.861. (CXX) g++ options: -O3 -std=c++11 -fopenmp
OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: NDT MappingEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R2004006008001000Min: 828.89 / Avg: 835.61 / Max: 839Min: 842.05 / Avg: 842.39 / Max: 842.88Min: 866.31 / Avg: 867.2 / Max: 867.82Min: 793.11 / Avg: 796.41 / Max: 802.09Min: 870.95 / Avg: 872.05 / Max: 873.3Min: 867.71 / Avg: 871.26 / Max: 873.17Min: 871.55 / Avg: 873.7 / Max: 874.99Min: 814.69 / Avg: 817.76 / Max: 819.32Min: 875.93 / Avg: 881.28 / Max: 887.13Min: 861.65 / Avg: 863.06 / Max: 864.84Min: 864.02 / Avg: 866.72 / Max: 868.63Min: 853.7 / Avg: 856.44 / Max: 861.91Min: 836.42 / Avg: 843.29 / Max: 847.7Min: 900.97 / Avg: 906.95 / Max: 913.57Min: 954.35 / Avg: 956.94 / Max: 961.56Min: 896.41 / Avg: 905.21 / Max: 915.46Min: 778.34 / Avg: 779.6 / Max: 780.36Min: 835.8 / Avg: 837.35 / Max: 838.95Min: 856.87 / Avg: 863.11 / Max: 866.3Min: 901.4 / Avg: 902.86 / Max: 905.731. (CXX) g++ options: -O3 -std=c++11 -fopenmp

IOR

IOR is a parallel I/O storage benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterIOR 3.2.1Read TestEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R30060090012001500SE +/- 10.23, N = 3SE +/- 7.74, N = 3SE +/- 5.32, N = 3SE +/- 10.99, N = 3SE +/- 13.63, N = 3SE +/- 4.02, N = 3SE +/- 6.68, N = 3SE +/- 1.74, N = 3SE +/- 2.27, N = 4SE +/- 5.24, N = 3SE +/- 4.79, N = 3SE +/- 4.53, N = 3SE +/- 1.57, N = 3SE +/- 4.00, N = 3SE +/- 0.89, N = 3SE +/- 4.02, N = 4SE +/- 13.63, N = 3SE +/- 1.90, N = 3SE +/- 2.92, N = 3SE +/- 3.74, N = 31380.051414.501384.181367.381381.421371.831388.231376.681375.991375.561366.251364.101368.831428.031441.841430.761333.061399.011364.301390.281. (CC) gcc options: -O2 -lm -pthread -lmpi
OpenBenchmarking.orgMB/s, More Is BetterIOR 3.2.1Read TestEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R30060090012001500Min: 1360.55 / Avg: 1380.05 / Max: 1395.18Min: 1399.32 / Avg: 1414.5 / Max: 1424.68Min: 1377.73 / Avg: 1384.18 / Max: 1394.73Min: 1350.9 / Avg: 1367.38 / Max: 1388.21Min: 1362.62 / Avg: 1381.42 / Max: 1407.92Min: 1366.21 / Avg: 1371.83 / Max: 1379.62Min: 1377.18 / Avg: 1388.23 / Max: 1400.25Min: 1374.18 / Avg: 1376.68 / Max: 1380.03Min: 1371.46 / Avg: 1375.99 / Max: 1382.01Min: 1365.53 / Avg: 1375.56 / Max: 1383.22Min: 1359.5 / Avg: 1366.25 / Max: 1375.51Min: 1358.12 / Avg: 1364.1 / Max: 1372.98Min: 1365.99 / Avg: 1368.83 / Max: 1371.39Min: 1421.68 / Avg: 1428.03 / Max: 1435.43Min: 1440.07 / Avg: 1441.84 / Max: 1442.9Min: 1420.34 / Avg: 1430.76 / Max: 1438.03Min: 1309.43 / Avg: 1333.06 / Max: 1356.63Min: 1396.95 / Avg: 1399.01 / Max: 1402.81Min: 1358.48 / Avg: 1364.3 / Max: 1367.59Min: 1383.78 / Avg: 1390.28 / Max: 1396.721. (CC) gcc options: -O2 -lm -pthread -lmpi

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: RdRandXeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R50K100K150K200K250KSE +/- 14.44, N = 3SE +/- 8.44, N = 3SE +/- 43.57, N = 3SE +/- 51.81, N = 3252444.92252521.80252549.77253140.501. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: RdRandXeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R40K80K120K160K200KMin: 252426.07 / Avg: 252444.92 / Max: 252473.28Min: 252504.94 / Avg: 252521.8 / Max: 252530.88Min: 252505.96 / Avg: 252549.77 / Max: 252636.91Min: 253071.33 / Avg: 253140.5 / Max: 253241.911. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215SE +/- 0.04, N = 4SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 15SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.17, N = 3SE +/- 0.17, N = 3SE +/- 0.01, N = 8SE +/- 0.42, N = 3SE +/- 0.31, N = 3SE +/- 0.34, N = 3SE +/- 0.47, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 10SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.12, N = 3SE +/- 0.11, N = 33.203.123.674.313.664.234.325.024.076.336.437.849.782.963.654.122.872.233.002.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215Min: 3.1 / Avg: 3.2 / Max: 3.26Min: 3.1 / Avg: 3.12 / Max: 3.15Min: 3.63 / Avg: 3.67 / Max: 3.69Min: 4.19 / Avg: 4.31 / Max: 4.63Min: 3.64 / Avg: 3.66 / Max: 3.7Min: 4.14 / Avg: 4.23 / Max: 4.39Min: 4.05 / Avg: 4.32 / Max: 4.63Min: 4.8 / Avg: 5.02 / Max: 5.35Min: 4.04 / Avg: 4.07 / Max: 4.1Min: 5.76 / Avg: 6.33 / Max: 7.16Min: 5.83 / Avg: 6.43 / Max: 6.88Min: 7.38 / Avg: 7.84 / Max: 8.51Min: 8.84 / Avg: 9.78 / Max: 10.35Min: 2.93 / Avg: 2.96 / Max: 3.01Min: 3.46 / Avg: 3.65 / Max: 3.97Min: 4.04 / Avg: 4.12 / Max: 4.26Min: 2.86 / Avg: 2.87 / Max: 2.88Min: 2.22 / Avg: 2.23 / Max: 2.24Min: 2.88 / Avg: 3 / Max: 3.23Min: 2.61 / Avg: 2.75 / Max: 2.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R612182430SE +/- 0.17, N = 4SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 15SE +/- 0.10, N = 3SE +/- 0.17, N = 3SE +/- 0.91, N = 3SE +/- 0.97, N = 3SE +/- 0.13, N = 8SE +/- 0.98, N = 3SE +/- 0.92, N = 3SE +/- 1.73, N = 3SE +/- 2.54, N = 3SE +/- 0.01, N = 2SE +/- 0.18, N = 10SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.15, N = 38.368.039.1410.849.0910.2810.9614.4310.4818.3816.8321.7725.167.769.539.926.205.116.565.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R612182430Min: 7.94 / Avg: 8.36 / Max: 8.69Min: 7.98 / Avg: 8.03 / Max: 8.07Min: 9.03 / Avg: 9.14 / Max: 9.27Min: 10.18 / Avg: 10.84 / Max: 11.53Min: 8.92 / Avg: 9.09 / Max: 9.27Min: 9.94 / Avg: 10.28 / Max: 10.48Min: 9.99 / Avg: 10.96 / Max: 12.79Min: 12.87 / Avg: 14.43 / Max: 16.2Min: 9.97 / Avg: 10.48 / Max: 11.14Min: 16.55 / Avg: 18.38 / Max: 19.89Min: 15.43 / Avg: 16.83 / Max: 18.57Min: 19.2 / Avg: 21.77 / Max: 25.06Min: 21.38 / Avg: 25.16 / Max: 30Min: 7.75 / Avg: 7.76 / Max: 7.77Min: 8.94 / Avg: 9.53 / Max: 10.51Min: 9.88 / Avg: 9.92 / Max: 9.95Min: 6.18 / Avg: 6.2 / Max: 6.22Min: 5.07 / Avg: 5.11 / Max: 5.16Min: 6.44 / Avg: 6.56 / Max: 6.68Min: 5.75 / Avg: 5.96 / Max: 6.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R612182430SE +/- 0.09, N = 4SE +/- 0.08, N = 3SE +/- 0.29, N = 3SE +/- 0.11, N = 15SE +/- 0.26, N = 3SE +/- 0.02, N = 3SE +/- 0.49, N = 3SE +/- 0.33, N = 3SE +/- 0.11, N = 8SE +/- 1.97, N = 3SE +/- 0.63, N = 3SE +/- 3.02, N = 3SE +/- 1.38, N = 3SE +/- 0.36, N = 3SE +/- 3.21, N = 10SE +/- 0.21, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.12, N = 39.327.779.1210.649.0110.3110.7512.6310.0716.4116.1822.9026.558.2912.409.967.476.537.766.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R612182430Min: 9.17 / Avg: 9.32 / Max: 9.52Min: 7.68 / Avg: 7.77 / Max: 7.94Min: 8.6 / Avg: 9.12 / Max: 9.61Min: 10.08 / Avg: 10.64 / Max: 11.35Min: 8.53 / Avg: 9.01 / Max: 9.42Min: 10.28 / Avg: 10.31 / Max: 10.33Min: 9.87 / Avg: 10.75 / Max: 11.57Min: 12.01 / Avg: 12.63 / Max: 13.15Min: 9.82 / Avg: 10.07 / Max: 10.75Min: 14.24 / Avg: 16.41 / Max: 20.35Min: 15.13 / Avg: 16.18 / Max: 17.32Min: 18.49 / Avg: 22.9 / Max: 28.67Min: 24.45 / Avg: 26.55 / Max: 29.15Min: 7.87 / Avg: 8.29 / Max: 9Min: 8.85 / Avg: 12.4 / Max: 41.24Min: 9.67 / Avg: 9.96 / Max: 10.38Min: 7.37 / Avg: 7.47 / Max: 7.58Min: 6.49 / Avg: 6.53 / Max: 6.61Min: 7.68 / Avg: 7.76 / Max: 7.85Min: 6.71 / Avg: 6.94 / Max: 7.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 2020-09-17Model: SqueezeNetV1.0EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215SE +/- 0.174, N = 12SE +/- 0.144, N = 3SE +/- 0.201, N = 3SE +/- 0.130, N = 15SE +/- 0.122, N = 15SE +/- 0.188, N = 15SE +/- 0.050, N = 3SE +/- 0.175, N = 15SE +/- 0.188, N = 12SE +/- 0.300, N = 15SE +/- 0.145, N = 3SE +/- 0.188, N = 15SE +/- 0.244, N = 12SE +/- 0.082, N = 3SE +/- 0.377, N = 15SE +/- 0.263, N = 15SE +/- 0.030, N = 3SE +/- 0.009, N = 3SE +/- 0.014, N = 3SE +/- 0.173, N = 1211.85910.34511.60810.43310.0009.1139.48910.0738.80210.1259.17310.04810.19310.03411.4549.93011.7898.33111.85311.7781. (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 2020-09-17Model: SqueezeNetV1.0EPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R3691215Min: 10.97 / Avg: 11.86 / Max: 13.05Min: 10.08 / Avg: 10.34 / Max: 10.57Min: 11.21 / Avg: 11.61 / Max: 11.81Min: 9.2 / Avg: 10.43 / Max: 11.2Min: 9.38 / Avg: 10 / Max: 10.74Min: 8.35 / Avg: 9.11 / Max: 11.28Min: 9.42 / Avg: 9.49 / Max: 9.59Min: 9.24 / Avg: 10.07 / Max: 11.28Min: 7.85 / Avg: 8.8 / Max: 10.38Min: 8.73 / Avg: 10.12 / Max: 12.48Min: 8.88 / Avg: 9.17 / Max: 9.33Min: 8.94 / Avg: 10.05 / Max: 11.4Min: 9.1 / Avg: 10.19 / Max: 11.94Min: 9.93 / Avg: 10.03 / Max: 10.2Min: 9.93 / Avg: 11.45 / Max: 15.85Min: 8.95 / Avg: 9.93 / Max: 13.23Min: 11.74 / Avg: 11.79 / Max: 11.84Min: 8.32 / Avg: 8.33 / Max: 8.35Min: 11.83 / Avg: 11.85 / Max: 11.87Min: 11.14 / Avg: 11.78 / Max: 13.261. (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

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CPU CacheEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1224364860SE +/- 0.86, N = 15SE +/- 0.51, N = 3SE +/- 1.19, N = 12SE +/- 0.99, N = 15SE +/- 0.28, N = 3SE +/- 0.77, N = 15SE +/- 0.99, N = 15SE +/- 1.01, N = 12SE +/- 1.07, N = 15SE +/- 0.76, N = 15SE +/- 0.56, N = 8SE +/- 1.58, N = 15SE +/- 1.36, N = 12SE +/- 0.30, N = 3SE +/- 0.92, N = 15SE +/- 0.71, N = 5SE +/- 0.34, N = 15SE +/- 0.52, N = 6SE +/- 0.43, N = 15SE +/- 0.44, N = 1544.5029.7234.0137.5442.0945.9347.3252.6447.1852.9854.4442.7947.2828.2244.3552.7314.2743.8019.7718.181. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CPU CacheEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R1122334455Min: 39.8 / Avg: 44.5 / Max: 49.5Min: 28.72 / Avg: 29.72 / Max: 30.36Min: 26.12 / Avg: 34.01 / Max: 42.02Min: 29.32 / Avg: 37.54 / Max: 42.21Min: 41.72 / Avg: 42.09 / Max: 42.65Min: 40.11 / Avg: 45.93 / Max: 50.14Min: 37.01 / Avg: 47.32 / Max: 53.3Min: 47.11 / Avg: 52.64 / Max: 58.36Min: 38.21 / Avg: 47.18 / Max: 52.07Min: 48.06 / Avg: 52.98 / Max: 58.56Min: 52.63 / Avg: 54.44 / Max: 57.73Min: 35.13 / Avg: 42.79 / Max: 56.7Min: 41.69 / Avg: 47.28 / Max: 59.34Min: 27.66 / Avg: 28.22 / Max: 28.7Min: 38.89 / Avg: 44.35 / Max: 51.16Min: 51.28 / Avg: 52.73 / Max: 54.81Min: 12.5 / Avg: 14.27 / Max: 16.4Min: 41.73 / Avg: 43.8 / Max: 45.63Min: 16.8 / Avg: 19.77 / Max: 22.3Min: 15.16 / Avg: 18.18 / Max: 21.631. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 250 - Mode: Read Write - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R306090120150SE +/- 1.60, N = 6SE +/- 1.88, N = 3SE +/- 1.17, N = 15SE +/- 1.63, N = 3SE +/- 2.01, N = 15SE +/- 1.33, N = 15SE +/- 2.71, N = 15SE +/- 2.07, N = 15SE +/- 2.61, N = 15SE +/- 2.47, N = 15SE +/- 2.47, N = 15SE +/- 1.98, N = 15SE +/- 2.83, N = 15SE +/- 1.93, N = 3SE +/- 0.86, N = 3SE +/- 1.58, N = 3SE +/- 1.73, N = 15SE +/- 1.33, N = 15SE +/- 2.11, N = 3SE +/- 1.44, N = 15140.05124.81138.33141.08144.79138.20141.89146.03141.16139.95143.36138.60138.78125.79107.63110.51155.75122.92144.77132.191. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 250 - Mode: Read Write - Average LatencyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R306090120150Min: 135.25 / Avg: 140.05 / Max: 146.18Min: 121.19 / Avg: 124.81 / Max: 127.53Min: 130.88 / Avg: 138.33 / Max: 148.14Min: 138.87 / Avg: 141.08 / Max: 144.27Min: 133.15 / Avg: 144.79 / Max: 158.57Min: 127.33 / Avg: 138.2 / Max: 146.64Min: 126.74 / Avg: 141.89 / Max: 162.45Min: 127.95 / Avg: 146.03 / Max: 161.11Min: 122.96 / Avg: 141.16 / Max: 156.42Min: 125.42 / Avg: 139.95 / Max: 155.81Min: 130.15 / Avg: 143.36 / Max: 167.38Min: 127.6 / Avg: 138.6 / Max: 154.28Min: 124.21 / Avg: 138.77 / Max: 163.33Min: 123.73 / Avg: 125.79 / Max: 129.66Min: 106.19 / Avg: 107.63 / Max: 109.17Min: 108.42 / Avg: 110.51 / Max: 113.6Min: 144.05 / Avg: 155.75 / Max: 166.02Min: 116.94 / Avg: 122.92 / Max: 130.91Min: 141.32 / Avg: 144.77 / Max: 148.6Min: 118.9 / Avg: 132.19 / Max: 141.461. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 250 - Mode: Read WriteEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R5001000150020002500SE +/- 20.26, N = 6SE +/- 30.54, N = 3SE +/- 15.02, N = 15SE +/- 20.43, N = 3SE +/- 23.93, N = 15SE +/- 17.58, N = 15SE +/- 33.17, N = 15SE +/- 24.97, N = 15SE +/- 33.34, N = 15SE +/- 31.83, N = 15SE +/- 28.60, N = 15SE +/- 25.74, N = 15SE +/- 34.92, N = 15SE +/- 30.14, N = 3SE +/- 18.48, N = 3SE +/- 32.03, N = 3SE +/- 17.92, N = 15SE +/- 21.82, N = 15SE +/- 24.96, N = 3SE +/- 21.48, N = 15178720061811177517331814177317191782179817551814181719892325226616102038172918961. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 250 - Mode: Read WriteEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R400800120016002000Min: 1710.92 / Avg: 1787.13 / Max: 1849.3Min: 1962.23 / Avg: 2005.65 / Max: 2064.57Min: 1688.93 / Avg: 1810.62 / Max: 1911.59Min: 1735.14 / Avg: 1774.96 / Max: 1802.83Min: 1578 / Avg: 1733.28 / Max: 1879.86Min: 1707.86 / Avg: 1814.13 / Max: 1966.47Min: 1541.54 / Avg: 1773.47 / Max: 1975.34Min: 1554.13 / Avg: 1719.48 / Max: 1956.56Min: 1600.62 / Avg: 1782.32 / Max: 2036.36Min: 1608.03 / Avg: 1798.43 / Max: 1997.87Min: 1496.68 / Avg: 1754.82 / Max: 1925.71Min: 1625.63 / Avg: 1814.23 / Max: 1963.69Min: 1536.79 / Avg: 1817.28 / Max: 2018.42Min: 1929.03 / Avg: 1989.26 / Max: 2021.6Min: 2292.23 / Avg: 2324.96 / Max: 2356.2Min: 2203.22 / Avg: 2265.83 / Max: 2308.87Min: 1507.45 / Avg: 1609.63 / Max: 1737.16Min: 1910.8 / Avg: 2038.26 / Max: 2139.27Min: 1684.29 / Avg: 1729.38 / Max: 1770.49Min: 1768.94 / Avg: 1896.33 / Max: 2104.541. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

ASKAP

This is a CUDA benchmark of ATNF's ASKAP Benchmark with currently using the tConvolveCuda sub-test. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 2018-11-10Test: tConvolve OpenMP - GriddingEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R15003000450060007500SE +/- 21.86, N = 15SE +/- 61.39, N = 15SE +/- 39.18, N = 3SE +/- 43.40, N = 3SE +/- 31.38, N = 3SE +/- 75.78, N = 15SE +/- 53.07, N = 15SE +/- 102.07, N = 15SE +/- 57.19, N = 15SE +/- 64.05, N = 15SE +/- 71.03, N = 3SE +/- 56.89, N = 3SE +/- 111.01, N = 3SE +/- 47.68, N = 15SE +/- 18.37, N = 3SE +/- 0.00, N = 3SE +/- 30.28, N = 15SE +/- 34.84, N = 12SE +/- 12.14, N = 3SE +/- 48.02, N = 31963.312536.423429.083631.813804.174433.064472.154255.184503.715300.225362.776770.196605.062241.573840.416339.432853.331890.983120.283121.691. (CXX) g++ options: -lpthread
OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 2018-11-10Test: tConvolve OpenMP - GriddingEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R12002400360048006000Min: 1740.24 / Avg: 1963.31 / Max: 2032.49Min: 2164.68 / Avg: 2536.42 / Max: 2958.4Min: 3370.33 / Avg: 3429.08 / Max: 3503.37Min: 3550.08 / Avg: 3631.81 / Max: 3698Min: 3750.08 / Avg: 3804.17 / Max: 3858.78Min: 3803.66 / Avg: 4433.06 / Max: 4671.16Min: 3858.78 / Avg: 4472.15 / Max: 4590.62Min: 3803.66 / Avg: 4255.18 / Max: 4930.67Min: 3858.78 / Avg: 4503.71 / Max: 4671.16Min: 4930.67 / Avg: 5300.22 / Max: 5916.8Min: 5220.71 / Avg: 5362.77 / Max: 5433.8Min: 6656.4 / Avg: 6770.19 / Max: 6827.08Min: 6494.05 / Avg: 6605.06 / Max: 6827.08Min: 1901.83 / Avg: 2241.57 / Max: 2398.7Min: 3803.66 / Avg: 3840.41 / Max: 3858.78Min: 6339.43 / Avg: 6339.43 / Max: 6339.43Min: 2585.01 / Avg: 2853.33 / Max: 2991.64Min: 1685.16 / Avg: 1890.98 / Max: 2048.12Min: 3096 / Avg: 3120.28 / Max: 3132.42Min: 3025.64 / Avg: 3121.69 / Max: 3169.711. (CXX) g++ options: -lpthread

Sudokut

This is a test of Sudokut, which is a Sudoku puzzle solver written in Tcl. This test measures how long it takes to solve 100 Sudoku puzzles. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSudokut 0.4Total TimeEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R510152025SE +/- 0.27, N = 15SE +/- 0.73, N = 15SE +/- 0.87, N = 15SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.33, N = 15SE +/- 0.39, N = 15SE +/- 0.05, N = 3SE +/- 0.26, N = 15SE +/- 0.67, N = 15SE +/- 0.63, N = 15SE +/- 0.01, N = 3SE +/- 0.23, N = 3SE +/- 0.14, N = 9SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 318.3218.5818.0517.3715.7416.5216.3416.4717.0318.4818.7916.2116.6514.4913.6714.2813.6411.9611.6011.22
OpenBenchmarking.orgSeconds, Fewer Is BetterSudokut 0.4Total TimeEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R510152025Min: 17.74 / Avg: 18.32 / Max: 21.89Min: 17.09 / Avg: 18.58 / Max: 26.98Min: 16.4 / Avg: 18.05 / Max: 26.33Min: 17.27 / Avg: 17.37 / Max: 17.51Min: 15.73 / Avg: 15.74 / Max: 15.75Min: 15.82 / Avg: 16.52 / Max: 20.97Min: 15.79 / Avg: 16.34 / Max: 21.78Min: 16.37 / Avg: 16.47 / Max: 16.56Min: 16.44 / Avg: 17.03 / Max: 20.4Min: 17.47 / Avg: 18.48 / Max: 27.73Min: 17.66 / Avg: 18.79 / Max: 27.36Min: 16.2 / Avg: 16.21 / Max: 16.23Min: 16.31 / Avg: 16.65 / Max: 17.09Min: 14.13 / Avg: 14.49 / Max: 15.52Min: 13.65 / Avg: 13.67 / Max: 13.69Min: 14.26 / Avg: 14.28 / Max: 14.31Min: 13.63 / Avg: 13.64 / Max: 13.66Min: 11.89 / Avg: 11.96 / Max: 12.05Min: 11.56 / Avg: 11.6 / Max: 11.64Min: 11.2 / Avg: 11.22 / Max: 11.24

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 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: VMAF Optimized - Input: Bosphorus 1080pEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R80160240320400SE +/- 1.30, N = 3SE +/- 3.90, N = 12SE +/- 3.48, N = 12SE +/- 6.80, N = 12SE +/- 8.97, N = 12SE +/- 9.21, N = 12SE +/- 10.13, N = 12SE +/- 9.06, N = 12SE +/- 11.53, N = 12SE +/- 10.68, N = 12SE +/- 10.42, N = 12SE +/- 9.82, N = 12SE +/- 11.01, N = 12SE +/- 1.50, N = 3SE +/- 2.88, N = 13SE +/- 1.61, N = 3SE +/- 2.44, N = 12SE +/- 1.07, N = 3SE +/- 2.74, N = 12SE +/- 0.86, N = 3109.04243.53238.57297.54326.87334.92346.64319.28361.48351.36348.39344.22335.81113.78238.98358.44213.99116.57223.05267.741. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: VMAF Optimized - Input: Bosphorus 1080pEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R60120180240300Min: 106.48 / Avg: 109.04 / Max: 110.74Min: 200.8 / Avg: 243.53 / Max: 248.55Min: 200.6 / Avg: 238.57 / Max: 244.7Min: 223.13 / Avg: 297.54 / Max: 309.12Min: 228.66 / Avg: 326.87 / Max: 340.72Min: 234.28 / Avg: 334.92 / Max: 350.06Min: 235.57 / Avg: 346.64 / Max: 362.98Min: 220.02 / Avg: 319.28 / Max: 333.7Min: 235.48 / Avg: 361.48 / Max: 379.27Min: 234.28 / Avg: 351.36 / Max: 365.85Min: 234.1 / Avg: 348.39 / Max: 361.88Min: 236.59 / Avg: 344.22 / Max: 358.64Min: 214.9 / Avg: 335.81 / Max: 350.06Min: 110.82 / Avg: 113.78 / Max: 115.67Min: 205.2 / Avg: 238.98 / Max: 245Min: 355.24 / Avg: 358.44 / Max: 360.36Min: 188.44 / Avg: 213.99 / Max: 221.24Min: 114.57 / Avg: 116.57 / Max: 118.25Min: 193.11 / Avg: 223.05 / Max: 227.79Min: 266.55 / Avg: 267.74 / Max: 269.421. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R4080120160200SE +/- 1.76, N = 3SE +/- 1.45, N = 15SE +/- 1.44, N = 4SE +/- 0.30, N = 3SE +/- 0.39, N = 3SE +/- 4.90, N = 15SE +/- 3.83, N = 15SE +/- 1.19, N = 3SE +/- 1.72, N = 15SE +/- 3.10, N = 15SE +/- 0.49, N = 3SE +/- 2.74, N = 15SE +/- 1.96, N = 15SE +/- 4.11, N = 12SE +/- 0.23, N = 3SE +/- 0.40, N = 3SE +/- 1.50, N = 15SE +/- 0.40, N = 3SE +/- 0.14, N = 3SE +/- 0.44, N = 3130.69102.38103.72128.43114.82116.6997.4995.7092.79135.92110.10164.37162.69116.3558.3967.2768.78123.1159.1155.451. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R306090120150Min: 127.21 / Avg: 130.69 / Max: 132.82Min: 92.81 / Avg: 102.38 / Max: 112.37Min: 100.57 / Avg: 103.72 / Max: 106.94Min: 127.84 / Avg: 128.43 / Max: 128.81Min: 114.39 / Avg: 114.82 / Max: 115.59Min: 86 / Avg: 116.69 / Max: 132.44Min: 80.07 / Avg: 97.49 / Max: 115Min: 93.35 / Avg: 95.7 / Max: 97.15Min: 81.95 / Avg: 92.79 / Max: 107.52Min: 121.23 / Avg: 135.92 / Max: 159.98Min: 109.29 / Avg: 110.1 / Max: 110.98Min: 138.95 / Avg: 164.37 / Max: 181.75Min: 153.2 / Avg: 162.69 / Max: 174.42Min: 92.23 / Avg: 116.35 / Max: 134.23Min: 57.97 / Avg: 58.39 / Max: 58.77Min: 66.73 / Avg: 67.27 / Max: 68.06Min: 63.71 / Avg: 68.78 / Max: 84.29Min: 122.39 / Avg: 123.11 / Max: 123.77Min: 58.97 / Avg: 59.11 / Max: 59.4Min: 54.73 / Avg: 55.45 / Max: 56.261. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: RotateEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R160320480640800SE +/- 4.11, N = 5SE +/- 2.08, N = 3SE +/- 11.26, N = 15SE +/- 7.12, N = 15SE +/- 12.76, N = 14SE +/- 3.76, N = 3SE +/- 6.21, N = 15SE +/- 31.42, N = 12SE +/- 5.66, N = 15SE +/- 5.24, N = 3SE +/- 20.04, N = 15SE +/- 9.46, N = 14SE +/- 4.45, N = 15SE +/- 3.38, N = 3SE +/- 1.45, N = 3SE +/- 8.50, N = 3SE +/- 4.73, N = 3SE +/- 10.79, N = 3SE +/- 5.90, N = 33213335333474752345292962602624844204823375635175967607357521. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: RotateEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R130260390520650Min: 311 / Avg: 321.4 / Max: 335Min: 329 / Avg: 333 / Max: 336Min: 238 / Avg: 346.93 / Max: 407Min: 425 / Avg: 475.2 / Max: 515Min: 188 / Avg: 234.43 / Max: 384Min: 522 / Avg: 528.67 / Max: 535Min: 255 / Avg: 296.4 / Max: 351Min: 184 / Avg: 260.17 / Max: 519Min: 229 / Avg: 262.07 / Max: 326Min: 474 / Avg: 483.67 / Max: 492Min: 282 / Avg: 419.87 / Max: 503Min: 375 / Avg: 482.29 / Max: 512Min: 318 / Avg: 337.47 / Max: 377Min: 556 / Avg: 562.67 / Max: 567Min: 515 / Avg: 517.33 / Max: 520Min: 583 / Avg: 596 / Max: 612Min: 751 / Avg: 760 / Max: 767Min: 715 / Avg: 735 / Max: 752Min: 745 / Avg: 752.33 / Max: 7641. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

LuaJIT

This test profile is a collection of Lua scripts/benchmarks run against a locally-built copy of LuaJIT upstream. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterLuaJIT 2.1-gitTest: Dense LU Matrix FactorizationEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R8001600240032004000SE +/- 318.01, N = 3SE +/- 242.72, N = 3SE +/- 6.61, N = 3SE +/- 7.15, N = 3SE +/- 441.67, N = 3SE +/- 493.42, N = 3SE +/- 0.07, N = 3SE +/- 19.67, N = 3SE +/- 495.38, N = 3SE +/- 440.15, N = 3SE +/- 2.08, N = 3SE +/- 2.71, N = 3SE +/- 1.18, N = 3SE +/- 548.83, N = 3SE +/- 12.02, N = 3SE +/- 1.49, N = 3SE +/- 2.68, N = 3SE +/- 6.18, N = 3SE +/- 10.17, N = 3SE +/- 13.07, N = 32249.652320.513057.212902.872521.242612.893112.171701.712652.662616.753049.433069.173094.402832.363607.203436.632828.083167.843362.653354.531. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector
OpenBenchmarking.orgMflops, More Is BetterLuaJIT 2.1-gitTest: Dense LU Matrix FactorizationEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R6001200180024003000Min: 1645.77 / Avg: 2249.65 / Max: 2724.44Min: 2016.82 / Avg: 2320.51 / Max: 2800.33Min: 3049.05 / Avg: 3057.21 / Max: 3070.3Min: 2892.68 / Avg: 2902.87 / Max: 2916.64Min: 1656.97 / Avg: 2521.24 / Max: 3111.49Min: 1626.06 / Avg: 2612.89 / Max: 3108.82Min: 3112.04 / Avg: 3112.17 / Max: 3112.26Min: 1681.92 / Avg: 1701.71 / Max: 1741.04Min: 1661.91 / Avg: 2652.66 / Max: 3150.08Min: 1736.48 / Avg: 2616.75 / Max: 3063.37Min: 3045.64 / Avg: 3049.43 / Max: 3052.79Min: 3065.99 / Avg: 3069.17 / Max: 3074.55Min: 3092.13 / Avg: 3094.4 / Max: 3096.1Min: 1753.8 / Avg: 2832.36 / Max: 3548.23Min: 3584.25 / Avg: 3607.2 / Max: 3624.86Min: 3434.39 / Avg: 3436.63 / Max: 3439.46Min: 2823.61 / Avg: 2828.08 / Max: 2832.88Min: 3155.56 / Avg: 3167.84 / Max: 3175.22Min: 3343.37 / Avg: 3362.65 / Max: 3377.9Min: 3340.76 / Avg: 3354.53 / Max: 3380.651. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector

OpenBenchmarking.orgMflops, More Is BetterLuaJIT 2.1-gitTest: Sparse Matrix MultiplyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R30060090012001500SE +/- 71.13, N = 3SE +/- 20.11, N = 3SE +/- 4.96, N = 3SE +/- 2.18, N = 3SE +/- 68.19, N = 3SE +/- 75.65, N = 3SE +/- 3.28, N = 3SE +/- 47.01, N = 3SE +/- 81.65, N = 3SE +/- 81.52, N = 3SE +/- 0.49, N = 3SE +/- 1.27, N = 3SE +/- 1.62, N = 3SE +/- 82.02, N = 3SE +/- 1.04, N = 3SE +/- 3.54, N = 3SE +/- 1.23, N = 3SE +/- 1.78, N = 3SE +/- 0.69, N = 3SE +/- 7.98, N = 3894.15955.201000.90964.85942.29936.271021.83848.08952.81929.801002.311008.781018.421079.451175.981114.681033.951150.341249.601244.441. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector
OpenBenchmarking.orgMflops, More Is BetterLuaJIT 2.1-gitTest: Sparse Matrix MultiplyEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R2004006008001000Min: 752.08 / Avg: 894.15 / Max: 971.61Min: 915.2 / Avg: 955.2 / Max: 978.93Min: 993.83 / Avg: 1000.9 / Max: 1010.46Min: 961.16 / Avg: 964.85 / Max: 968.71Min: 806.83 / Avg: 942.29 / Max: 1023.79Min: 785.84 / Avg: 936.27 / Max: 1025.47Min: 1015.81 / Avg: 1021.83 / Max: 1027.1Min: 785.58 / Avg: 848.08 / Max: 940.15Min: 789.57 / Avg: 952.81 / Max: 1038.11Min: 766.8 / Avg: 929.8 / Max: 1014.44Min: 1001.8 / Avg: 1002.31 / Max: 1003.3Min: 1006.3 / Avg: 1008.78 / Max: 1010.53Min: 1015.67 / Avg: 1018.42 / Max: 1021.29Min: 915.99 / Avg: 1079.45 / Max: 1173.22Min: 1174.88 / Avg: 1175.98 / Max: 1178.07Min: 1110.44 / Avg: 1114.68 / Max: 1121.72Min: 1031.58 / Avg: 1033.95 / Max: 1035.7Min: 1146.92 / Avg: 1150.34 / Max: 1152.92Min: 1248.83 / Avg: 1249.6 / Max: 1250.97Min: 1229.28 / Avg: 1244.44 / Max: 1256.341. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector

OpenBenchmarking.orgMflops, More Is BetterLuaJIT 2.1-gitTest: Fast Fourier TransformEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R110220330440550SE +/- 45.74, N = 3SE +/- 2.94, N = 3SE +/- 0.21, N = 3SE +/- 4.10, N = 3SE +/- 48.53, N = 3SE +/- 48.56, N = 3SE +/- 1.61, N = 3SE +/- 0.55, N = 3SE +/- 47.26, N = 3SE +/- 51.82, N = 3SE +/- 0.18, N = 3SE +/- 0.34, N = 3SE +/- 0.34, N = 3SE +/- 59.48, N = 3SE +/- 0.41, N = 3SE +/- 0.67, N = 3SE +/- 1.47, N = 3SE +/- 1.13, N = 3SE +/- 2.60, N = 3SE +/- 3.04, N = 3138.46215.39217.13208.87136.32136.16220.7559.16142.76155.45217.61218.05219.29165.44246.84238.95460.12312.67521.62501.441. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector
OpenBenchmarking.orgMflops, More Is BetterLuaJIT 2.1-gitTest: Fast Fourier TransformEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R90180270360450Min: 50.36 / Avg: 138.46 / Max: 203.87Min: 210.51 / Avg: 215.39 / Max: 220.66Min: 216.85 / Avg: 217.13 / Max: 217.53Min: 201.85 / Avg: 208.87 / Max: 216.06Min: 52.37 / Avg: 136.32 / Max: 220.49Min: 52.74 / Avg: 136.16 / Max: 220.93Min: 217.94 / Avg: 220.75 / Max: 223.53Min: 58.56 / Avg: 59.16 / Max: 60.27Min: 54.01 / Avg: 142.76 / Max: 215.31Min: 52.37 / Avg: 155.45 / Max: 216.32Min: 217.32 / Avg: 217.61 / Max: 217.93Min: 217.48 / Avg: 218.05 / Max: 218.65Min: 218.94 / Avg: 219.29 / Max: 219.97Min: 59.02 / Avg: 165.44 / Max: 264.68Min: 246.02 / Avg: 246.84 / Max: 247.31Min: 237.63 / Avg: 238.95 / Max: 239.78Min: 457.48 / Avg: 460.12 / Max: 462.56Min: 311.11 / Avg: 312.67 / Max: 314.86Min: 516.5 / Avg: 521.62 / Max: 524.96Min: 497.51 / Avg: 501.44 / Max: 507.431. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector

OpenBenchmarking.orgMflops, More Is BetterLuaJIT 2.1-gitTest: CompositeEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R30060090012001500SE +/- 19.13, N = 12SE +/- 14.92, N = 15SE +/- 2.35, N = 3SE +/- 2.55, N = 3SE +/- 25.76, N = 12SE +/- 29.87, N = 12SE +/- 0.26, N = 3SE +/- 9.24, N = 3SE +/- 31.69, N = 12SE +/- 29.19, N = 12SE +/- 0.53, N = 3SE +/- 0.30, N = 3SE +/- 0.48, N = 3SE +/- 30.94, N = 12SE +/- 2.36, N = 3SE +/- 0.36, N = 3SE +/- 0.91, N = 3SE +/- 1.21, N = 3SE +/- 2.53, N = 3SE +/- 1.71, N = 31069.16999.971255.121196.831121.561221.201277.04919.111257.831228.751253.871259.321271.071285.351478.661406.471181.881292.881413.361407.071. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector
OpenBenchmarking.orgMflops, More Is BetterLuaJIT 2.1-gitTest: CompositeEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R30060090012001500Min: 874.4 / Avg: 1069.16 / Max: 1158.71Min: 948.09 / Avg: 999.97 / Max: 1184.38Min: 1252.74 / Avg: 1255.12 / Max: 1259.81Min: 1193.47 / Avg: 1196.83 / Max: 1201.83Min: 907.36 / Avg: 1121.56 / Max: 1260.46Min: 895.88 / Avg: 1221.2 / Max: 1276.33Min: 1276.54 / Avg: 1277.04 / Max: 1277.4Min: 901.96 / Avg: 919.11 / Max: 933.64Min: 909.58 / Avg: 1257.83 / Max: 1297.69Min: 907.78 / Avg: 1228.75 / Max: 1260.03Min: 1252.91 / Avg: 1253.87 / Max: 1254.73Min: 1258.72 / Avg: 1259.32 / Max: 1259.65Min: 1270.13 / Avg: 1271.07 / Max: 1271.69Min: 1014.45 / Avg: 1285.35 / Max: 1450.78Min: 1474.13 / Avg: 1478.66 / Max: 1482.06Min: 1405.9 / Avg: 1406.47 / Max: 1407.13Min: 1180.78 / Avg: 1181.88 / Max: 1183.68Min: 1290.48 / Avg: 1292.88 / Max: 1294.25Min: 1408.4 / Avg: 1413.36 / Max: 1416.72Min: 1404.86 / Avg: 1407.07 / Max: 1410.441. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector

Renaissance

Renaissance is a suite of benchmarks designed to test the Java JVM from Apache Spark to a Twitter-like service to Scala and other features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Apache Spark BayesEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R100200300400500SE +/- 15.81, N = 25SE +/- 22.93, N = 25SE +/- 11.79, N = 25SE +/- 14.00, N = 25SE +/- 14.93, N = 25SE +/- 1.64, N = 5SE +/- 11.31, N = 25SE +/- 23.32, N = 20SE +/- 13.49, N = 25SE +/- 21.33, N = 25SE +/- 11.21, N = 25SE +/- 21.47, N = 25SE +/- 25.67, N = 25SE +/- 12.51, N = 25SE +/- 11.04, N = 25SE +/- 13.97, N = 25SE +/- 15.67, N = 25SE +/- 17.75, N = 25SE +/- 13.77, N = 25SE +/- 14.37, N = 25466.72364.78276.42271.20275.81204.36231.51269.25241.25268.58243.14282.25287.37368.41250.68246.88353.48422.78329.01285.35
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Apache Spark BayesEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R80160240320400Min: 386.04 / Avg: 466.72 / Max: 622.34Min: 211.41 / Avg: 364.78 / Max: 468.13Min: 206.33 / Avg: 276.42 / Max: 340.46Min: 217.65 / Avg: 271.19 / Max: 387.98Min: 199.24 / Avg: 275.81 / Max: 366.89Min: 200.37 / Avg: 204.36 / Max: 208.19Min: 186.86 / Avg: 231.51 / Max: 348.08Min: 189.88 / Avg: 269.25 / Max: 637.24Min: 180.66 / Avg: 241.25 / Max: 373.27Min: 189.05 / Avg: 268.58 / Max: 624.53Min: 188.94 / Avg: 243.14 / Max: 319.52Min: 193.18 / Avg: 282.25 / Max: 625.34Min: 192.05 / Avg: 287.37 / Max: 640.46Min: 316.64 / Avg: 368.41 / Max: 507.82Min: 170.97 / Avg: 250.68 / Max: 320.09Min: 175.84 / Avg: 246.88 / Max: 335.73Min: 252.46 / Avg: 353.48 / Max: 439.53Min: 359.21 / Avg: 422.78 / Max: 630.46Min: 239.78 / Avg: 329.01 / Max: 402.31Min: 202.29 / Avg: 285.35 / Max: 361.3

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R510152025SE +/- 0.005, N = 3SE +/- 0.130, N = 15SE +/- 0.199, N = 13SE +/- 0.105, N = 3SE +/- 0.177, N = 15SE +/- 0.177, N = 3SE +/- 0.211, N = 15SE +/- 0.203, N = 5SE +/- 0.215, N = 15SE +/- 0.230, N = 15SE +/- 0.228, N = 15SE +/- 0.063, N = 3SE +/- 0.232, N = 3SE +/- 0.185, N = 15SE +/- 0.137, N = 6SE +/- 0.090, N = 3SE +/- 0.122, N = 15SE +/- 0.073, N = 15SE +/- 0.210, N = 15SE +/- 0.221, N = 155.1799.1999.9099.91113.63615.00516.06815.92316.29118.50018.86820.73317.4835.35111.80215.0315.8374.3526.2707.7031. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R510152025Min: 5.17 / Avg: 5.18 / Max: 5.19Min: 8.19 / Avg: 9.2 / Max: 9.67Min: 7.78 / Avg: 9.91 / Max: 10.32Min: 9.7 / Avg: 9.91 / Max: 10.04Min: 11.81 / Avg: 13.64 / Max: 14.45Min: 14.83 / Avg: 15.01 / Max: 15.36Min: 13.91 / Avg: 16.07 / Max: 17.1Min: 15.54 / Avg: 15.92 / Max: 16.65Min: 14.81 / Avg: 16.29 / Max: 17.5Min: 17.42 / Avg: 18.5 / Max: 20.22Min: 17.98 / Avg: 18.87 / Max: 20.52Min: 20.64 / Avg: 20.73 / Max: 20.85Min: 17.07 / Avg: 17.48 / Max: 17.88Min: 4.56 / Avg: 5.35 / Max: 6.38Min: 11.32 / Avg: 11.8 / Max: 12.16Min: 14.86 / Avg: 15.03 / Max: 15.17Min: 5.36 / Avg: 5.84 / Max: 6.63Min: 3.89 / Avg: 4.35 / Max: 4.82Min: 5.45 / Avg: 6.27 / Max: 7.96Min: 6.89 / Avg: 7.7 / Max: 10.011. (CXX) g++ options: -O3 -pthread -lm

RAMspeed SMP

This benchmark tests the system memory (RAM) performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterRAMspeed SMP 3.5.0Type: Average - Benchmark: IntegerEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R9K18K27K36K45KSE +/- 57.07, N = 3SE +/- 1278.01, N = 15SE +/- 6.76, N = 3SE +/- 652.75, N = 15SE +/- 57.49, N = 3SE +/- 1302.14, N = 15SE +/- 1247.03, N = 15SE +/- 11.31, N = 3SE +/- 1430.66, N = 15SE +/- 1424.04, N = 15SE +/- 262.24, N = 3SE +/- 583.46, N = 15SE +/- 84.86, N = 3SE +/- 586.59, N = 3SE +/- 1015.18, N = 15SE +/- 7.94, N = 3SE +/- 34.71, N = 3SE +/- 36.79, N = 3SE +/- 9.50, N = 3SE +/- 133.59, N = 340558.0436438.9929733.5738609.8340792.9237812.3033147.3929592.4434154.7636193.2440458.2330578.8740334.9139389.3231875.1829855.7527483.6426678.0527582.1528037.331. (CC) gcc options: -O3 -march=native
OpenBenchmarking.orgMB/s, More Is BetterRAMspeed SMP 3.5.0Type: Average - Benchmark: IntegerEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R7K14K21K28K35KMin: 40474.32 / Avg: 40558.04 / Max: 40667.1Min: 29762.68 / Avg: 36438.99 / Max: 40720.85Min: 29723.86 / Avg: 29733.57 / Max: 29746.57Min: 32113.62 / Avg: 38609.83 / Max: 40643.86Min: 40715.13 / Avg: 40792.92 / Max: 40905.15Min: 29689.09 / Avg: 37812.3 / Max: 40880.42Min: 29697.43 / Avg: 33147.39 / Max: 40789.11Min: 29573.86 / Avg: 29592.44 / Max: 29612.91Min: 29697.37 / Avg: 34154.76 / Max: 40916.91Min: 29591.39 / Avg: 36193.24 / Max: 40756.03Min: 39956.62 / Avg: 40458.23 / Max: 40841.69Min: 29669.64 / Avg: 30578.87 / Max: 36747.81Min: 40187.86 / Avg: 40334.91 / Max: 40481.82Min: 38770.78 / Avg: 39389.32 / Max: 40561.91Min: 29896.6 / Avg: 31875.18 / Max: 41391.48Min: 29845.63 / Avg: 29855.75 / Max: 29871.4Min: 27421.46 / Avg: 27483.64 / Max: 27541.45Min: 26605.65 / Avg: 26678.05 / Max: 26725.56Min: 27571.06 / Avg: 27582.15 / Max: 27601.05Min: 27877.27 / Avg: 28037.33 / Max: 28302.621. (CC) gcc options: -O3 -march=native

OpenBenchmarking.orgMB/s, More Is BetterRAMspeed SMP 3.5.0Type: Triad - Benchmark: IntegerEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R10K20K30K40K50KSE +/- 1719.43, N = 12SE +/- 1655.33, N = 15SE +/- 312.09, N = 3SE +/- 673.18, N = 3SE +/- 111.00, N = 3SE +/- 1258.25, N = 15SE +/- 479.86, N = 3SE +/- 10.39, N = 3SE +/- 1238.87, N = 15SE +/- 1586.62, N = 15SE +/- 26.84, N = 3SE +/- 1607.53, N = 15SE +/- 1473.07, N = 12SE +/- 431.79, N = 9SE +/- 167.17, N = 3SE +/- 13.00, N = 3SE +/- 35.58, N = 3SE +/- 108.91, N = 3SE +/- 70.64, N = 3SE +/- 48.80, N = 339912.2239609.5544525.2043731.7344173.7242824.8831430.0430795.2432746.7534508.2844086.1934465.1039856.3943604.5744653.4630954.7626901.0226460.5426360.9327182.311. (CC) gcc options: -O3 -march=native
OpenBenchmarking.orgMB/s, More Is BetterRAMspeed SMP 3.5.0Type: Triad - Benchmark: IntegerEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R8K16K24K32K40KMin: 30839.49 / Avg: 39912.22 / Max: 44942.72Min: 30905.95 / Avg: 39609.55 / Max: 44976.02Min: 44078.73 / Avg: 44525.2 / Max: 45126.2Min: 42436.77 / Avg: 43731.73 / Max: 44698.31Min: 43953.63 / Avg: 44173.72 / Max: 44308.89Min: 30852 / Avg: 42824.88 / Max: 45551.95Min: 30933.72 / Avg: 31430.04 / Max: 32389.56Min: 30777.85 / Avg: 30795.24 / Max: 30813.79Min: 30899.28 / Avg: 32746.75 / Max: 44718.56Min: 30711.53 / Avg: 34508.28 / Max: 44831.88Min: 44054.6 / Avg: 44086.19 / Max: 44139.58Min: 30757.27 / Avg: 34465.1 / Max: 45059.28Min: 30861.15 / Avg: 39856.39 / Max: 45375.85Min: 40992.79 / Avg: 43604.57 / Max: 45136.73Min: 44325.37 / Avg: 44653.46 / Max: 44873.2Min: 30928.79 / Avg: 30954.76 / Max: 30968.63Min: 26838.99 / Avg: 26901.02 / Max: 26962.22Min: 26342.67 / Avg: 26460.54 / Max: 26678.1Min: 26284.94 / Avg: 26360.93 / Max: 26502.07Min: 27091.46 / Avg: 27182.31 / Max: 27258.61. (CC) gcc options: -O3 -march=native

OpenBenchmarking.orgMB/s, More Is BetterRAMspeed SMP 3.5.0Type: Scale - Benchmark: IntegerEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R8K16K24K32K40KSE +/- 1342.99, N = 15SE +/- 1005.60, N = 15SE +/- 991.03, N = 15SE +/- 259.53, N = 3SE +/- 190.07, N = 3SE +/- 1361.34, N = 15SE +/- 21.16, N = 3SE +/- 7.75, N = 3SE +/- 809.42, N = 15SE +/- 281.32, N = 3SE +/- 1193.70, N = 15SE +/- 1423.80, N = 15SE +/- 1304.15, N = 12SE +/- 453.53, N = 6SE +/- 1117.17, N = 15SE +/- 1393.40, N = 15SE +/- 9.81, N = 3SE +/- 53.13, N = 3SE +/- 10.50, N = 3SE +/- 26.93, N = 334824.9936075.7930300.9739129.0239500.8232972.7828922.6428833.0730650.7639290.9831400.3834675.8934333.3238204.5031998.1233193.1027088.2826571.8426154.7827638.191. (CC) gcc options: -O3 -march=native
OpenBenchmarking.orgMB/s, More Is BetterRAMspeed SMP 3.5.0Type: Scale - Benchmark: IntegerEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R7K14K21K28K35KMin: 28802.15 / Avg: 34824.99 / Max: 39755.82Min: 28858.64 / Avg: 36075.79 / Max: 39965.31Min: 28779.54 / Avg: 30300.97 / Max: 39971.89Min: 38835.57 / Avg: 39129.02 / Max: 39646.52Min: 39229.86 / Avg: 39500.82 / Max: 39867.21Min: 28842.8 / Avg: 32972.78 / Max: 40047.41Min: 28897.62 / Avg: 28922.64 / Max: 28964.71Min: 28817.58 / Avg: 28833.07 / Max: 28841.12Min: 28877.33 / Avg: 30650.76 / Max: 37858.63Min: 38805.87 / Avg: 39290.98 / Max: 39780.38Min: 28556.23 / Avg: 31400.38 / Max: 38984.63Min: 28796.99 / Avg: 34675.89 / Max: 39936.31Min: 28806.96 / Avg: 34333.32 / Max: 39623.27Min: 36621.29 / Avg: 38204.5 / Max: 39661.73Min: 29021.31 / Avg: 31998.12 / Max: 39806.02Min: 28912.46 / Avg: 33193.1 / Max: 40197.83Min: 27071.25 / Avg: 27088.28 / Max: 27105.22Min: 26518.26 / Avg: 26571.84 / Max: 26678.1Min: 26135.56 / Avg: 26154.78 / Max: 26171.72Min: 27599.38 / Avg: 27638.19 / Max: 27689.941. (CC) gcc options: -O3 -march=native

OpenBenchmarking.orgMB/s, More Is BetterRAMspeed SMP 3.5.0Type: Copy - Benchmark: IntegerEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R8K16K24K32K40KSE +/- 900.70, N = 15SE +/- 878.51, N = 15SE +/- 54.01, N = 3SE +/- 379.71, N = 15SE +/- 624.60, N = 12SE +/- 888.64, N = 15SE +/- 884.91, N = 15SE +/- 1.86, N = 3SE +/- 20.47, N = 3SE +/- 830.97, N = 15SE +/- 112.67, N = 3SE +/- 926.99, N = 15SE +/- 754.39, N = 15SE +/- 316.68, N = 10SE +/- 57.19, N = 3SE +/- 71.12, N = 3SE +/- 4.47, N = 3SE +/- 199.30, N = 3SE +/- 16.51, N = 3SE +/- 57.75, N = 333225.4331690.5235997.3334859.6635348.1133375.8731028.9328516.0728648.2530290.9435410.8230957.0934096.6635283.0836650.2636296.4528234.1727294.8928152.7529128.071. (CC) gcc options: -O3 -march=native
OpenBenchmarking.orgMB/s, More Is BetterRAMspeed SMP 3.5.0Type: Copy - Benchmark: IntegerEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R6K12K18K24K30KMin: 28424.7 / Avg: 33225.43 / Max: 35855.69Min: 28467.99 / Avg: 31690.52 / Max: 36046.92Min: 35901.3 / Avg: 35997.33 / Max: 36088.2Min: 30696.8 / Avg: 34859.66 / Max: 35822.28Min: 28486.35 / Avg: 35348.11 / Max: 36099.77Min: 28511.86 / Avg: 33375.87 / Max: 36057.31Min: 28488.68 / Avg: 31028.93 / Max: 36158.98Min: 28514.02 / Avg: 28516.07 / Max: 28519.78Min: 28608.01 / Avg: 28648.25 / Max: 28674.85Min: 28386.9 / Avg: 30290.94 / Max: 35939.81Min: 35267.72 / Avg: 35410.82 / Max: 35633.12Min: 28467.39 / Avg: 30957.09 / Max: 36036.16Min: 28489.67 / Avg: 34096.66 / Max: 36095.19Min: 33173.71 / Avg: 35283.08 / Max: 36199.16Min: 36536.09 / Avg: 36650.26 / Max: 36713.44Min: 36205.85 / Avg: 36296.45 / Max: 36436.71Min: 28225.32 / Avg: 28234.17 / Max: 28239.69Min: 26916.47 / Avg: 27294.89 / Max: 27592.54Min: 28130.5 / Avg: 28152.75 / Max: 28185.01Min: 29015.55 / Avg: 29128.07 / Max: 29206.91. (CC) gcc options: -O3 -march=native

OpenBenchmarking.orgMB/s, More Is BetterRAMspeed SMP 3.5.0Type: Add - Benchmark: IntegerEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R9K18K27K36K45KSE +/- 1470.68, N = 15SE +/- 1264.73, N = 15SE +/- 105.39, N = 3SE +/- 492.75, N = 15SE +/- 1166.90, N = 15SE +/- 608.18, N = 4SE +/- 1500.19, N = 15SE +/- 780.64, N = 15SE +/- 874.93, N = 15SE +/- 42.49, N = 3SE +/- 1453.80, N = 15SE +/- 795.56, N = 15SE +/- 1241.24, N = 15SE +/- 523.42, N = 3SE +/- 1767.24, N = 12SE +/- 285.80, N = 3SE +/- 19.14, N = 3SE +/- 71.03, N = 3SE +/- 59.47, N = 3SE +/- 22.18, N = 336365.9437214.0942792.1641379.5439574.4742122.7035252.6131770.2132096.9842701.7434934.5831516.8939537.6641386.6136546.0442539.3927695.4527009.8827481.1028628.281. (CC) gcc options: -O3 -march=native
OpenBenchmarking.orgMB/s, More Is BetterRAMspeed SMP 3.5.0Type: Add - Benchmark: IntegerEPYC 7232PEPYC 7282EPYC 7302PEPYC 7352EPYC 7402PEPYC 7452EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7F72Xeon Silver 4216Xeon Gold 5217Xeon Gold 5218Xeon Gold 6226R7K14K21K28K35KMin: 30678.26 / Avg: 36365.94 / Max: 42678.53Min: 30700.49 / Avg: 37214.09 / Max: 42664.5Min: 42583.25 / Avg: 42792.16 / Max: 42920.88Min: 36500.03 / Avg: 41379.54 / Max: 42631.69Min: 30763.21 / Avg: 39574.47 / Max: 42896.97Min: 40298.4 / Avg: 42122.7 / Max: 42759.19Min: 30703.43 / Avg: 35252.61 / Max: 42875.53Min: 30621.49 / Avg: 31770.21 / Max: 41410.02Min: 30840.22 / Avg: 32096.98 / Max: 43103.18Min: 42627.17 / Avg: 42701.74 / Max: 42774.31Min: 30463.06 / Avg: 34934.58 / Max: 42519.99Min: 30659.38 / Avg: 31516.89 / Max: 42653.89Min: 30632.91 / Avg: 39537.66 / Max: 42785.08Min: 40397.09 / Avg: 41386.61 / Max: 42177.24Min: 31012.57 / Avg: 36546.04 / Max: 43442.72Min: 42011.63 / Avg: 42539.39 / Max: 42993.4Min: 27657.31 / Avg: 27695.45 / Max: 27717.43Min: 26869.21 / Avg: 27009.88 / Max: 27097.34Min: 27369.4 / Avg: 27481.1 / Max: 27572.33Min: 28596.29 / Avg: 28628.28 / Max: 28670.881. (CC) gcc options: -O3 -march=native

428 Results Shown

ACES DGEMM
ebizzy
Stress-NG
m-queens
Stress-NG:
  Crypto
  Semaphores
  MMAP
  Glibc Qsort Data Sorting
ASTC Encoder
oneDNN
BRL-CAD
C-Ray
oneDNN
OpenVINO:
  Age Gender Recognition Retail 0013 FP32 - CPU
  Age Gender Recognition Retail 0013 FP16 - CPU
Stress-NG:
  CPU Stress
  Glibc C String Functions
ASTC Encoder
OSPray
N-Queens
John The Ripper
Stress-NG
OSPray
OpenSSL
OSPray
oneDNN
OSPray
Embree
7-Zip Compression
Tachyon
rays1bench
Stockfish
Blender
Embree
Aircrack-ng
PostgreSQL pgbench:
  1 - 250 - Read Only
  1 - 250 - Read Only - Average Latency
Tungsten Renderer
OSPray
OpenVINO:
  Face Detection 0106 FP32 - CPU
  Face Detection 0106 FP16 - CPU
Facebook RocksDB
OSPray
oneDNN
GraphicsMagick
Blender
Chaos Group V-RAY
John The Ripper
Facebook RocksDB
OSPray
Embree
GraphicsMagick
Stress-NG
GraphicsMagick
Embree
NAMD
POV-Ray
Stress-NG
LAMMPS Molecular Dynamics Simulator
Embree
IndigoBench
Blender
Apache Cassandra
Embree
OpenVINO
Rodinia
OpenVINO
OpenVKL
TensorFlow Lite:
  Mobilenet Quant
  Mobilenet Float
  SqueezeNet
PostgreSQL pgbench:
  100 - 250 - Read Only
  100 - 250 - Read Only - Average Latency
  1 - 100 - Read Only
  1 - 100 - Read Only - Average Latency
  1000 - 250 - Read Only
  1000 - 250 - Read Only - Average Latency
TensorFlow Lite
NCNN
PostgreSQL pgbench
Tungsten Renderer
PostgreSQL pgbench:
  100 - 100 - Read Only - Average Latency
  1000 - 100 - Read Only
  1000 - 100 - Read Only - Average Latency
TensorFlow Lite
ArrayFire
oneDNN
Facebook RocksDB
Stress-NG
SVT-HEVC
oneDNN
IndigoBench
Stress-NG
NCNN
PostgreSQL pgbench
Basis Universal
PostgreSQL pgbench:
  1000 - 50 - Read Only
  1000 - 50 - Read Only - Average Latency
  1 - 50 - Read Only
  100 - 50 - Read Only - Average Latency
  1 - 50 - Read Only - Average Latency
oneDNN
Intel Open Image Denoise
Coremark
oneDNN
Facebook RocksDB
FFTE
Appleseed
oneDNN:
  Deconvolution Batch deconv_1d - f32 - CPU
  IP Batch All - f32 - CPU
Zstd Compression
SVT-AV1
Timed MPlayer Compilation
Rodinia
NCNN
Stress-NG
Smallpt
Timed Linux Kernel Compilation
Kripke
Y-Cruncher
Timed LLVM Compilation
GraphicsMagick
PlaidML
SVT-VP9
Timed FFmpeg Compilation
Facebook RocksDB
Rodinia
Tungsten Renderer
YafaRay
Basis Universal
SVT-VP9
Appleseed
ASKAP
SVT-AV1
TensorFlow Lite
Incompact3D
Kvazaar:
  Bosphorus 4K - Slow
  Bosphorus 4K - Medium
Polyhedron Fortran Benchmarks
OSPray
x264
Xsbench
oneDNN
ASKAP
GraphicsMagick
x265
oneDNN
Darktable
NCNN
Kvazaar:
  Bosphorus 1080p - Medium
  Bosphorus 1080p - Slow
oneDNN:
  Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPU
  Convolution Batch Shapes Auto - bf16bf16bf16 - CPU
TTSIOD 3D Renderer
MariaDB
PostgreSQL pgbench:
  100 - 100 - Read Write
  100 - 100 - Read Write - Average Latency
  100 - 250 - Read Write
MariaDB
PostgreSQL pgbench
Kvazaar
MariaDB
Stress-NG
PostgreSQL pgbench:
  100 - 50 - Read Write
  100 - 50 - Read Write - Average Latency
NeatBench
oneDNN:
  Deconvolution Batch deconv_1d - bf16bf16bf16 - CPU
  IP Batch All - bf16bf16bf16 - CPU
Stress-NG
Kvazaar
Stress-NG
oneDNN
ASKAP
OpenVINO
Darktable
High Performance Conjugate Gradient
Sunflow Rendering System
Timed ImageMagick Compilation
OpenVINO
PostgreSQL pgbench:
  1000 - 250 - Read Write
  1000 - 250 - Read Write - Average Latency
Parallel BZIP2 Compression
Rodinia
PostgreSQL pgbench:
  1000 - 100 - Read Write
  1000 - 100 - Read Write - Average Latency
Darktable
SciMark
ASKAP
NCNN
Kvazaar
Zstd Compression
Kvazaar
PostgreSQL pgbench:
  1000 - 50 - Read Write - Average Latency
  1000 - 50 - Read Write
MariaDB
OpenVINO
Mobile Neural Network
OpenVINO
Darktable
NCNN
Mobile Neural Network
NCNN:
  CPU - resnet18
  CPU - squeezenet
oneDNN
FFTW
GROMACS
OpenVINO
NCNN
Node.js Express HTTP Load Test
OpenVINO
AI Benchmark Alpha
NCNN
ASKAP
LAMMPS Molecular Dynamics Simulator
Stress-NG
oneDNN
ArrayFire
Mlpack Benchmark
Stress-NG
Timed HMMer Search
Mobile Neural Network
LAMMPS Molecular Dynamics Simulator
NCNN
DaCapo Benchmark
libavif avifenc
ASTC Encoder
libavif avifenc
DeepSpeech
Stream
MariaDB
Caffe
DaCapo Benchmark
Appleseed
Caffe
Stream
ctx_clock
RNNoise
Mlpack Benchmark
Stream:
  Add
  Scale
VP9 libvpx Encoding
Darmstadt Automotive Parallel Heterogeneous Suite
Timed PHP Compilation
OCRMyPDF
FFmpeg
LibRaw
Caffe
Botan
x265
Caffe
AI Benchmark Alpha
GraphicsMagick
PostgreSQL pgbench:
  1 - 50 - Read Write - Average Latency
  1 - 50 - Read Write
Timed GDB GNU Debugger Compilation
C-Blosc
XZ Compression
LULESH
Himeno Benchmark
FFTW
TNN
x265
LAME MP3 Encoding
InfluxDB
TNN
Tungsten Renderer
Go Benchmarks
LuaJIT
GIMP
PostgreSQL pgbench:
  1 - 100 - Read Write - Average Latency
  1 - 100 - Read Write
GIMP:
  auto-levels
  rotate
Mobile Neural Network
InfluxDB
IOR
FFTW
Perl Benchmarks
DaCapo Benchmark
FFTW
AI Benchmark Alpha
MariaDB
Rodinia
MariaDB
Nebular Empirical Analysis Tool
FLAC Audio Encoding
PostgreSQL pgbench
AOM AV1
Dolfyn
AOM AV1
PostgreSQL pgbench
libavif avifenc
Monte Carlo Simulations of Ionised Nebulae
AOM AV1
SMHasher
WebP Image Encode
libavif avifenc
Crafty
ASTC Encoder
Polyhedron Fortran Benchmarks
Timed Apache Compilation
Basis Universal
PostgreSQL pgbench
Bork File Encrypter
Polyhedron Fortran Benchmarks
PostgreSQL pgbench
ECP-CANDLE
GEGL
PostgreSQL pgbench
RawTherapee
PostgreSQL pgbench:
  1000 - 1 - Read Write
  1000 - 1 - Read Write - Average Latency
  1 - 1 - Read Write
AOM AV1
PostgreSQL pgbench:
  100 - 1 - Read Only - Average Latency
  1 - 1 - Read Write - Average Latency
GEGL
Renaissance
Basis Universal
Bullet Physics Engine:
  3000 Fall
  Raytests
GIMP
SMHasher
Perl Benchmarks
PostgreSQL pgbench
SMHasher
KeyDB
SMHasher
FFTW
SMHasher:
  Spooky32
  MeowHash
PostgreSQL pgbench
SMHasher:
  Spooky32
  t1ha2_atonce
  fasthash32
  wyhash
  MeowHash
ECP-CANDLE
Mlpack Benchmark
Bullet Physics Engine
librsvg
SMHasher
Hierarchical INTegration
libjpeg-turbo tjbench
GEGL
WebP Image Encode
SciMark
Bullet Physics Engine:
  1000 Convex
  Convex Trimesh
GEGL
Timed MAFFT Alignment
GEGL:
  Reflect
  Wavelet Blur
PyPerformance
GNU Octave Benchmark
PyBench
Bullet Physics Engine
Hugin
Polyhedron Fortran Benchmarks
Java Gradle Build
GEGL
WebP Image Encode
Gzip Compression
Bullet Physics Engine
GEGL
PHPBench
eSpeak-NG Speech Engine
Git
WebP Image Encode
System GZIP Decompression
SciMark
GEGL
WireGuard + Linux Networking Stack Stress Test
Unpacking The Linux Kernel
Numpy Benchmark
BYTE Unix Benchmark
dcraw
AOBench
SciMark
FFTW
SciMark
Polyhedron Fortran Benchmarks
Botan
Darmstadt Automotive Parallel Heterogeneous Suite
LZMA Compression
PyPerformance
DaCapo Benchmark
Botan
ECP-CANDLE
SQLite Speedtest
Tesseract OCR
TSCP
Botan
Scikit-Learn
PyPerformance:
  regex_compile
  raytrace
  pathlib
WebP Image Encode
Botan
PostMark
LuaJIT
SciMark
Darmstadt Automotive Parallel Heterogeneous Suite
IOR
Stress-NG
NCNN:
  CPU - blazeface
  CPU - shufflenet-v2
  CPU-v2-v2 - mobilenet-v2
Mobile Neural Network
Stress-NG
PostgreSQL pgbench:
  1 - 250 - Read Write - Average Latency
  1 - 250 - Read Write
ASKAP
Sudokut
SVT-VP9
oneDNN
GraphicsMagick
LuaJIT:
  Dense LU Matrix Factorization
  Sparse Matrix Multiply
  Fast Fourier Transform
  Composite
Renaissance
LAMMPS Molecular Dynamics Simulator
RAMspeed SMP:
  Average - Integer
  Triad - Integer
  Scale - Integer
  Copy - Integer
  Add - Integer