Ampere Altra Mt Jade vs. Xeon vs. EPYC Benchmarks

Benchmarks for a future article. Compared to prior out-of-the-box Ubuntu results, this round of testing is with the performance governor forced on all CPUs. Also with the CFLAGS/CXXFLAGS being catered on each server to the processor microarchitecture under test. Ampere Altra "Boost" run is when force enabling CPUFreq boost on Ubuntu.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2012106-HA-AABOOST0459
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Ampere Altra 2P
December 01 2020
  3 Hours, 54 Minutes
Xeon Platinum 8280 2P
November 22 2020
  2 Hours, 9 Minutes
EPYC 7742 2P
November 23 2020
  2 Hours, 34 Minutes
Ampere Altra 29 - nomarch/mtune
December 10 2020
  3 Hours, 31 Minutes
Ampere Altra 2P - Just march
December 10 2020
  2 Hours, 57 Minutes
Ampere Altra 2P - Just mtune
December 10 2020
  2 Hours, 56 Minutes
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Ampere Altra 2P

Processor: Ampere Altra ARMv8 Neoverse-N1 @ 3.00GHz (160 Cores), Motherboard: WIWYNN Mt.Jade (1.1.20201019 BIOS), Chipset: Ampere Computing LLC Device e100, Memory: 16 x 32 GB DDR4-3200MT/s Samsung M393A4K40DB3-CWE, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Monitor: VE228, Network: Mellanox MT28908 + Intel I210

OS: Ubuntu 20.10, Kernel: 5.8.0-29-generic (aarch64), Display Server: X Server 1.20.9, Display Driver: modesetting 1.20.9, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080

Environment Notes: CXXFLAGS="-O3 -march=armv8.2-a -mtune=neoverse-n1" CFLAGS="-O3 -march=armv8.2-a -mtune=neoverse-n1"
Compiler Notes: --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-objc-gc=auto --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto -v
Disk Notes: NONE / relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: cppc_cpufreq performance (Boost: Enabled)
Java Notes: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.10)
Python Notes: Python 3.8.6
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Xeon Platinum 8280 2P

Processor: 2 x Intel Xeon Platinum 8280 @ 4.00GHz (56 Cores / 112 Threads), Motherboard: GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 12 x 32 GB DDR4-2933MT/s HMA84GR7CJR4N-WM, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Network: 2 x Intel X722 for 1GbE + 2 x QLogic FastLinQ QL41000 10/25/40/50GbE

OS: Ubuntu 20.10, Kernel: 5.8.0-29-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1024x768

Environment Notes: CXXFLAGS="-O3 -march=native" CFLAGS="-O3 -march=native"
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,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
Disk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: intel_pstate performance - CPU Microcode: 0x5003003
Java Notes: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.10)
Python Notes: Python 2.7.18 + Python 3.8.6
Security Notes: 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 7742 2P

Processor: 2 x AMD EPYC 7742 64-Core @ 2.25GHz (128 Cores / 256 Threads), Motherboard: AMD DAYTONA_X (RDY1006G BIOS), Chipset: AMD Starship/Matisse, Memory: 16 x 32 GB DDR4-3200MT/s 36ASF4G72PZ-3G2E2, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Monitor: VE228, Network: 2 x Mellanox MT27710

OS: Ubuntu 20.10, Kernel: 5.8.0-29-generic (x86_64), Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080

Environment Notes: CXXFLAGS="-O3 -march=native" CFLAGS="-O3 -march=native"
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,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
Disk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x8301034
Java Notes: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.10)
Python Notes: Python 2.7.18 + Python 3.8.6
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Ampere Altra 29 - nomarch/mtune

Environment Notes: CXXFLAGS=-O3 CFLAGS=-O3
Compiler Notes: --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-objc-gc=auto --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto -v
Processor Notes: Scaling Governor: cppc_cpufreq performance (Boost: Enabled)
Python Notes: Python 3.8.6
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Ampere Altra 2P - Just march

Environment Notes: CXXFLAGS="-O3 -march=armv8.2-a" CFLAGS="-O3 -march=armv8.2-a"
Compiler Notes: --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-objc-gc=auto --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto -v
Processor Notes: Scaling Governor: cppc_cpufreq performance (Boost: Enabled)
Python Notes: Python 3.8.6
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Ampere Altra 2P - Just mtune

Processor: Ampere Altra ARMv8 Neoverse-N1 @ 3.30GHz (160 Cores), Motherboard: WIWYNN Mt.Jade (1.1.20201019 BIOS), Chipset: Ampere Computing LLC Device e100, Memory: 502GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP + 960GB SAMSUNG MZ1LB960HAJQ-00007, Graphics: ASPEED, Monitor: VE228, Network: Mellanox MT28908 + Intel I210

OS: Ubuntu 20.10, Kernel: 5.10.0-051000rc6daily20201206-generic (aarch64) 20201206, Display Server: X Server 1.20.9, Display Driver: modesetting 1.20.9, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080

Environment Notes: CXXFLAGS="-O3 -mtune=neoverse-n1" CFLAGS="-O3 -mtune=neoverse-n1"
Compiler Notes: --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-objc-gc=auto --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto -v
Processor Notes: Scaling Governor: cppc_cpufreq performance (Boost: Enabled)
Python Notes: Python 3.8.6
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Ampere Altra Mt Jade vs. Xeon vs. EPYC BenchmarksProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDisplay ServerDisplay DriverCompilerFile-SystemScreen ResolutionDesktopAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtuneAmpere Altra ARMv8 Neoverse-N1 @ 3.00GHz (160 Cores)WIWYNN Mt.Jade (1.1.20201019 BIOS)Ampere Computing LLC Device e10016 x 32 GB DDR4-3200MT/s Samsung M393A4K40DB3-CWE3841GB Micron_9300_MTFDHAL3T8TDPASPEEDVE228Mellanox MT28908 + Intel I210Ubuntu 20.105.8.0-29-generic (aarch64)X Server 1.20.9modesetting 1.20.9GCC 10.2.0ext41920x10802 x Intel Xeon Platinum 8280 @ 4.00GHz (56 Cores / 112 Threads)GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS)Intel Sky Lake-E DMI3 Registers12 x 32 GB DDR4-2933MT/s HMA84GR7CJR4N-WM2 x Intel X722 for 1GbE + 2 x QLogic FastLinQ QL41000 10/25/40/50GbE5.8.0-29-generic (x86_64)GNOME Shell 3.38.1X Server 1.20.8modesetting 1.20.81024x7682 x AMD EPYC 7742 64-Core @ 2.25GHz (128 Cores / 256 Threads)AMD DAYTONA_X (RDY1006G BIOS)AMD Starship/Matisse16 x 32 GB DDR4-3200MT/s 36ASF4G72PZ-3G2E2VE2282 x Mellanox MT277101920x1080Ampere Altra ARMv8 Neoverse-N1 @ 3.30GHz (160 Cores)WIWYNN Mt.Jade (1.1.20201019 BIOS)Ampere Computing LLC Device e100502GB3841GB Micron_9300_MTFDHAL3T8TDP + 960GB SAMSUNG MZ1LB960HAJQ-00007Mellanox MT28908 + Intel I2105.10.0-051000rc6daily20201206-generic (aarch64) 20201206X Server 1.20.9modesetting 1.20.9OpenBenchmarking.orgEnvironment Details- Ampere Altra 2P: CXXFLAGS="-O3 -march=armv8.2-a -mtune=neoverse-n1" CFLAGS="-O3 -march=armv8.2-a -mtune=neoverse-n1"- Xeon Platinum 8280 2P: CXXFLAGS="-O3 -march=native" CFLAGS="-O3 -march=native"- EPYC 7742 2P: CXXFLAGS="-O3 -march=native" CFLAGS="-O3 -march=native"- Ampere Altra 29 - nomarch/mtune: CXXFLAGS=-O3 CFLAGS=-O3- Ampere Altra 2P - Just march: CXXFLAGS="-O3 -march=armv8.2-a" CFLAGS="-O3 -march=armv8.2-a"- Ampere Altra 2P - Just mtune: CXXFLAGS="-O3 -mtune=neoverse-n1" CFLAGS="-O3 -mtune=neoverse-n1"Compiler Details- Ampere Altra 2P: --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-objc-gc=auto --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto -v - Xeon Platinum 8280 2P: --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 7742 2P: --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 - Ampere Altra 29 - nomarch/mtune: --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-objc-gc=auto --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto -v - Ampere Altra 2P - Just march: --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-objc-gc=auto --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto -v - Ampere Altra 2P - Just mtune: --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-objc-gc=auto --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto -v Disk Details- Ampere Altra 2P: NONE / relatime,rw / Block Size: 4096- Xeon Platinum 8280 2P: NONE / errors=remount-ro,relatime,rw / Block Size: 4096- EPYC 7742 2P: NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Details- Ampere Altra 2P: Scaling Governor: cppc_cpufreq performance (Boost: Enabled)- Xeon Platinum 8280 2P: Scaling Governor: intel_pstate performance - CPU Microcode: 0x5003003- EPYC 7742 2P: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x8301034- Ampere Altra 29 - nomarch/mtune: Scaling Governor: cppc_cpufreq performance (Boost: Enabled)- Ampere Altra 2P - Just march: Scaling Governor: cppc_cpufreq performance (Boost: Enabled)- Ampere Altra 2P - Just mtune: Scaling Governor: cppc_cpufreq performance (Boost: Enabled)Java Details- Ampere Altra 2P, Xeon Platinum 8280 2P, EPYC 7742 2P: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.10)Python Details- Ampere Altra 2P: Python 3.8.6- Xeon Platinum 8280 2P: Python 2.7.18 + Python 3.8.6- EPYC 7742 2P: Python 2.7.18 + Python 3.8.6- Ampere Altra 29 - nomarch/mtune: Python 3.8.6- Ampere Altra 2P - Just march: Python 3.8.6- Ampere Altra 2P - Just mtune: Python 3.8.6Security Details- Ampere Altra 2P: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Not affected + srbds: Not affected + tsx_async_abort: Not affected- Xeon Platinum 8280 2P: 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 7742 2P: 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: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Ampere Altra 29 - nomarch/mtune: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Not affected + srbds: Not affected + tsx_async_abort: Not affected- Ampere Altra 2P - Just march: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Not affected + srbds: Not affected + tsx_async_abort: Not affected- Ampere Altra 2P - Just mtune: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Ampere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtuneResult OverviewPhoronix Test Suite100%167%234%300%Facebook RocksDBOpenSSLm-queensASTC EncoderCoremarkRodiniaBlenderBasis UniversalPostgreSQL pgbenchTimed PHP CompilationHigh Performance Conjugate GradientTimed LLVM CompilationNumpy BenchmarkLZ4 CompressionRedisHierarchical INTegrationPHPBenchTimed FFmpeg CompilationPyBenchTNN

Ampere Altra Mt Jade vs. Xeon vs. EPYC Benchmarksastcenc: Exhaustivebasis: UASTC Level 3build-ffmpeg: Time To Compilebuild-llvm: Time To Compilebuild-php: Time To Compilecompress-lz4: 1 - Compression Speedcompress-lz4: 9 - Compression Speedcompress-lz4: 9 - Decompression Speedcoremark: CoreMark Size 666 - Iterations Per Secondhint: FLOAThpcg: m-queens: Time To Solvenumpy: openssl: RSA 4096-bit Performancerodinia: OpenMP LavaMDpgbench: 1000 - 250 - Read Writepgbench: 1000 - 250 - Read Write - Average Latencyphpbench: PHP Benchmark Suitepybench: Total For Average Test Timesredis: GETrocksdb: Rand Readtnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1blender: Classroom - CPU-Onlyblender: Barbershop - CPU-Onlycompress-lz4: 1 - Decompression SpeedAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune25.0511.50920.060281.12254.1629460.6244.699548.03705087.522089355417184.8285644.80216.257237.168573.431.7712315410.85752934413041846629.65890738361317.810290.80065.33219.3152.2019.62619.959225.60038.3765417.7647.686361.81844054.141034382187740.7971728.847717.984329.3213716.656.423376606.65765214010962488006.9247216815337.357326.46684.56162.3221.6013.61316.403203.91839.3689477.9144.3510378.54002710.553017291664268.0030332.39627.693300.5625075.031.3172421410.61851597711731973922.33482174282332.587300.67044.96131.0225.1611.35718.961291.60060.3119546.0444.889461.63963890.483245352844884.3569644.69806.511240.408667.431.5272343110.75051912413072035777.13907899101320.310276.38665.61223.2010349.825.1911.41419.131286.20061.9939525.5744.719293.04021112.879475353246293.4879344.61296.416239.618636.230.6542503410.03552295113081980047.51902448814336.109267.82365.71222.6310625.025.4511.52619.791286.95661.9439365.5444.949151.34111356.659856352166438.3756944.61996.547242.328687.728.9642358210.66952047613082082583.42902181816318.105250.01765.7710286.0OpenBenchmarking.org

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: ExhaustiveAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune1224364860SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 325.0552.2021.6025.1625.1925.45-mfpmath=sse -mavx2 -mpopcnt-mfpmath=sse -mavx2 -mpopcnt1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -lpthread
MinAvgMaxAmpere Altra 2P37.0291.0405.0Xeon Platinum 8280 2P28.9328.0382.7EPYC 7742 2P103.6332.9453.7Ampere Altra 29 - nomarch/mtune35.0284.0403.0OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 2.0CPU Power Consumption Monitor1202403604806001. Ampere Altra 2P: Approximate power consumption of 10183 Joules per run.2. Xeon Platinum 8280 2P: Approximate power consumption of 20339 Joules per run.3. EPYC 7742 2P: Approximate power consumption of 5437 Joules per run.4. Ampere Altra 29 - nomarch/mtune: Approximate power consumption of 10035 Joules per run.
MinAvgMaxAmpere Altra 2P47.074.488.0Xeon Platinum 8280 2P37.062.369.0EPYC 7742 2P54.064.070.0Ampere Altra 29 - nomarch/mtune44.073.688.0OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune1020304050Min: 24.94 / Avg: 25.05 / Max: 25.15Min: 52.17 / Avg: 52.2 / Max: 52.23Min: 21.59 / Avg: 21.6 / Max: 21.61Min: 25.09 / Avg: 25.16 / Max: 25.23Min: 25.14 / Avg: 25.19 / Max: 25.26Min: 25.31 / Avg: 25.45 / Max: 25.561. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -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 3Ampere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune510152025SE +/- 0.07, N = 4SE +/- 0.00, N = 3SE +/- 0.07, N = 4SE +/- 0.04, N = 5SE +/- 0.20, N = 3SE +/- 0.09, N = 311.5119.6313.6111.3611.4111.531. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
MinAvgMaxAmpere Altra 2P37.0120.3321.0Xeon Platinum 8280 2P28.6239.4425.8EPYC 7742 2P98.9219.5434.3Ampere Altra 29 - nomarch/mtune36.0122.6318.0OpenBenchmarking.orgWatts, Fewer Is BetterBasis Universal 1.12CPU Power Consumption Monitor1102203304405501. Ampere Altra 2P: Approximate power consumption of 1955 Joules per run.2. Xeon Platinum 8280 2P: Approximate power consumption of 5665 Joules per run.3. EPYC 7742 2P: Approximate power consumption of 2030 Joules per run.4. Ampere Altra 29 - nomarch/mtune: Approximate power consumption of 1962 Joules per run.
MinAvgMaxAmpere Altra 2P47.054.575.0Xeon Platinum 8280 2P37.051.166.0EPYC 7742 2P53.859.366.8Ampere Altra 29 - nomarch/mtune48.055.376.0OpenBenchmarking.orgCelsius, Fewer Is BetterBasis Universal 1.12CPU Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 3Ampere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune510152025Min: 11.43 / Avg: 11.51 / Max: 11.73Min: 19.62 / Avg: 19.63 / Max: 19.63Min: 13.49 / Avg: 13.61 / Max: 13.78Min: 11.25 / Avg: 11.36 / Max: 11.48Min: 11.21 / Avg: 11.41 / Max: 11.81Min: 11.43 / Avg: 11.53 / Max: 11.71. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

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 CompileAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune510152025SE +/- 0.33, N = 15SE +/- 0.13, N = 3SE +/- 0.04, N = 3SE +/- 0.25, N = 15SE +/- 0.32, N = 3SE +/- 0.36, N = 1520.0619.9616.4018.9619.1319.79
MinAvgMaxAmpere Altra 2P34.0131.3364.0Xeon Platinum 8280 2P28.8216.1466.2EPYC 7742 2P118.2217.9457.2Ampere Altra 29 - nomarch/mtune35.0136.4362.0OpenBenchmarking.orgWatts, Fewer Is BetterTimed FFmpeg Compilation 4.2.2CPU Power Consumption Monitor1202403604806001. Ampere Altra 2P: Approximate power consumption of 3344 Joules per run.2. Xeon Platinum 8280 2P: Approximate power consumption of 5763 Joules per run.3. EPYC 7742 2P: Approximate power consumption of 2687 Joules per run.4. Ampere Altra 29 - nomarch/mtune: Approximate power consumption of 3355 Joules per run.
MinAvgMaxAmpere Altra 2P46.055.677.0Xeon Platinum 8280 2P32.045.159.0EPYC 7742 2P57.061.569.0Ampere Altra 29 - nomarch/mtune47.056.878.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed FFmpeg Compilation 4.2.2CPU Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To CompileAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune510152025Min: 18.08 / Avg: 20.06 / Max: 21.46Min: 19.77 / Avg: 19.96 / Max: 20.2Min: 16.33 / Avg: 16.4 / Max: 16.48Min: 17.77 / Avg: 18.96 / Max: 20.98Min: 18.8 / Avg: 19.13 / Max: 19.77Min: 17.95 / Avg: 19.79 / Max: 21.49

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 CompileAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune60120180240300SE +/- 3.72, N = 4SE +/- 1.51, N = 3SE +/- 0.64, N = 3SE +/- 3.51, N = 3SE +/- 4.06, N = 4SE +/- 3.14, N = 3281.12225.60203.92291.60286.20286.96
OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 10.0CPU Power Consumption MonitorAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtune80160240320400Min: 38 / Avg: 145.71 / Max: 341Min: 29.29 / Avg: 275.86 / Max: 466.34Min: 108.16 / Avg: 257.9 / Max: 457.83Min: 37 / Avg: 146.08 / Max: 3381. Ampere Altra 2P: Approximate power consumption of 45135 Joules per run.2. Xeon Platinum 8280 2P: Approximate power consumption of 66667 Joules per run.3. EPYC 7742 2P: Approximate power consumption of 28799 Joules per run.4. Ampere Altra 29 - nomarch/mtune: Approximate power consumption of 47818 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterTimed LLVM Compilation 10.0CPU Temperature MonitorAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtune1632486480Min: 48 / Avg: 57.25 / Max: 77Min: 38 / Avg: 57.29 / Max: 71Min: 54.25 / Avg: 61.8 / Max: 71.25Min: 48 / Avg: 59.5 / Max: 82
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune50100150200250Min: 275.11 / Avg: 281.12 / Max: 291.47Min: 223.91 / Avg: 225.6 / Max: 228.61Min: 202.89 / Avg: 203.92 / Max: 205.09Min: 284.83 / Avg: 291.6 / Max: 296.6Min: 276.79 / Avg: 286.2 / Max: 293.71Min: 280.73 / Avg: 286.96 / Max: 290.74

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 CompileAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune1428425670SE +/- 0.49, N = 3SE +/- 0.23, N = 3SE +/- 0.03, N = 3SE +/- 1.41, N = 15SE +/- 1.31, N = 15SE +/- 1.52, N = 1254.1638.3839.3760.3161.9961.94
MinAvgMaxAmpere Altra 2P37.0102.6312.0Xeon Platinum 8280 2P28.8142.2466.0EPYC 7742 2P99.2179.9454.9Ampere Altra 29 - nomarch/mtune37.0105.3336.0OpenBenchmarking.orgWatts, Fewer Is BetterTimed PHP Compilation 7.4.2CPU Power Consumption Monitor1202403604806001. Ampere Altra 2P: Approximate power consumption of 6974 Joules per run.2. Xeon Platinum 8280 2P: Approximate power consumption of 6777 Joules per run.3. EPYC 7742 2P: Approximate power consumption of 4556 Joules per run.4. Ampere Altra 29 - nomarch/mtune: Approximate power consumption of 6982 Joules per run.
MinAvgMaxAmpere Altra 2P47.052.867.0Xeon Platinum 8280 2P35.041.761.0EPYC 7742 2P54.857.765.3Ampere Altra 29 - nomarch/mtune49.054.669.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed PHP Compilation 7.4.2CPU Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 7.4.2Time To CompileAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune1224364860Min: 53.32 / Avg: 54.16 / Max: 55.01Min: 37.97 / Avg: 38.38 / Max: 38.77Min: 39.32 / Avg: 39.37 / Max: 39.4Min: 54.01 / Avg: 60.31 / Max: 68.15Min: 54.41 / Avg: 61.99 / Max: 69.16Min: 55.37 / Avg: 61.94 / Max: 68.87

LZ4 Compression

This test measures the time needed to compress/decompress a sample file (an Ubuntu ISO) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Compression SpeedAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune2K4K6K8K10KSE +/- 20.24, N = 3SE +/- 16.87, N = 3SE +/- 19.87, N = 3SE +/- 109.92, N = 3SE +/- 88.78, N = 3SE +/- 107.16, N = 39460.625417.769477.919546.049525.579365.541. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Compression SpeedAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune17003400510068008500Min: 9427.67 / Avg: 9460.62 / Max: 9497.45Min: 5390.68 / Avg: 5417.76 / Max: 5448.73Min: 9442.02 / Avg: 9477.91 / Max: 9510.62Min: 9345.59 / Avg: 9546.04 / Max: 9724.45Min: 9434.22 / Avg: 9525.57 / Max: 9703.1Min: 9154.84 / Avg: 9365.54 / Max: 9504.851. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression SpeedAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune1122334455SE +/- 0.19, N = 3SE +/- 0.04, N = 3SE +/- 0.59, N = 5SE +/- 0.16, N = 3SE +/- 0.24, N = 3SE +/- 0.01, N = 344.6947.6844.3544.8844.7144.941. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression SpeedAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune1020304050Min: 44.31 / Avg: 44.69 / Max: 44.89Min: 47.6 / Avg: 47.68 / Max: 47.73Min: 43.21 / Avg: 44.35 / Max: 45.82Min: 44.57 / Avg: 44.88 / Max: 45.07Min: 44.23 / Avg: 44.71 / Max: 44.95Min: 44.93 / Avg: 44.94 / Max: 44.961. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression SpeedAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune2K4K6K8K10KSE +/- 36.79, N = 3SE +/- 29.10, N = 3SE +/- 46.44, N = 5SE +/- 124.78, N = 3SE +/- 69.18, N = 3SE +/- 55.01, N = 39548.06361.810378.59461.69293.09151.31. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s Per Watt, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression SpeedAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtune306090120150124.1767.4567.36119.26
MinAvgMaxAmpere Altra 2P34.076.989.0Xeon Platinum 8280 2P28.694.3100.4EPYC 7742 2P94.5154.1169.2Ampere Altra 29 - nomarch/mtune38.079.393.0OpenBenchmarking.orgWatts, Fewer Is BetterLZ4 Compression 1.9.3CPU Power Consumption Monitor501001502002501. Ampere Altra 2P: Approximate power consumption of 5921 Joules per run.2. Xeon Platinum 8280 2P: Approximate power consumption of 6729 Joules per run.3. EPYC 7742 2P: Approximate power consumption of 5547 Joules per run.4. Ampere Altra 29 - nomarch/mtune: Approximate power consumption of 6029 Joules per run.
MinAvgMaxAmpere Altra 2P47.050.051.0Xeon Platinum 8280 2P30.036.538.0EPYC 7742 2P54.558.961.5Ampere Altra 29 - nomarch/mtune48.049.950.0OpenBenchmarking.orgCelsius, Fewer Is BetterLZ4 Compression 1.9.3CPU Temperature Monitor20406080100
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression SpeedAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune2K4K6K8K10KMin: 9503.4 / Avg: 9548.03 / Max: 9621Min: 6304.3 / Avg: 6361.8 / Max: 6398.3Min: 10269.9 / Avg: 10378.54 / Max: 10486.9Min: 9213.8 / Avg: 9461.63 / Max: 9610.9Min: 9220.6 / Avg: 9293 / Max: 9431.3Min: 9042 / Avg: 9151.33 / Max: 9216.71. (CC) gcc options: -O3

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 SecondAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune900K1800K2700K3600K4500KSE +/- 113984.01, N = 15SE +/- 9763.66, N = 3SE +/- 877.48, N = 3SE +/- 59006.00, N = 15SE +/- 67060.40, N = 3SE +/- 3957.68, N = 33705087.521844054.144002710.553963890.484021112.884111356.66-march=armv8.2-a -mtune=neoverse-n1-march=native-march=native-march=armv8.2-a-mtune=neoverse-n11. (CC) gcc options: -O2 -O3 -lrt" -lrt
OpenBenchmarking.orgIterations/Sec Per Watt, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtune4K8K12K16K20K18385.435733.8411499.3619152.74
MinAvgMaxAmpere Altra 2P35.0201.5304.0Xeon Platinum 8280 2P28.7321.6437.6EPYC 7742 2P109.3348.1434.2Ampere Altra 29 - nomarch/mtune34.0207.0308.0OpenBenchmarking.orgWatts, Fewer Is BetterCoremark 1.0CPU Power Consumption Monitor1102203304405501. Ampere Altra 2P: Approximate power consumption of 5240 Joules per run.2. Xeon Platinum 8280 2P: Approximate power consumption of 10291 Joules per run.3. EPYC 7742 2P: Approximate power consumption of 5917 Joules per run.4. Ampere Altra 29 - nomarch/mtune: Approximate power consumption of 5091 Joules per run.
MinAvgMaxAmpere Altra 2P48.064.776.0Xeon Platinum 8280 2P34.058.871.0EPYC 7742 2P54.865.672.8Ampere Altra 29 - nomarch/mtune47.065.876.0OpenBenchmarking.orgCelsius, Fewer Is BetterCoremark 1.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune700K1400K2100K2800K3500KMin: 3000750.19 / Avg: 3705087.52 / Max: 4114432.66Min: 1824624.28 / Avg: 1844054.14 / Max: 1855456.62Min: 4001406.74 / Avg: 4002710.55 / Max: 4004379.79Min: 3517256.54 / Avg: 3963890.48 / Max: 4087889.63Min: 3887033.1 / Avg: 4021112.88 / Max: 4091025.31Min: 4103879.45 / Avg: 4111356.66 / Max: 4117344.311. (CC) gcc options: -O2 -O3 -lrt" -lrt

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: FLOATAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune80M160M240M320M400MSE +/- 964159.32, N = 3SE +/- 896467.10, N = 3SE +/- 3770188.53, N = 3SE +/- 778890.43, N = 3SE +/- 729646.49, N = 3SE +/- 143355.25, N = 3355417184.83382187740.80291664268.00352844884.36353246293.49352166438.38-march=armv8.2-a -mtune=neoverse-n1-march=armv8.2-a-mtune=neoverse-n11. (CC) gcc options: -O3 -march=native -lm
OpenBenchmarking.orgQUIPs Per Watt, More Is BetterHierarchical INTegration 1.0Test: FLOATAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtune1000K2000K3000K4000K5000K4660815.604009517.271925493.784409863.29
MinAvgMaxAmpere Altra 2P35.076.384.0Xeon Platinum 8280 2P28.495.3104.0EPYC 7742 2P111.4151.5156.1Ampere Altra 29 - nomarch/mtune38.080.088.0OpenBenchmarking.orgWatts, Fewer Is BetterHierarchical INTegration 1.0CPU Power Consumption Monitor40801201602001. Ampere Altra 2P: Approximate power consumption of 25673 Joules per run.2. Xeon Platinum 8280 2P: Approximate power consumption of 36762 Joules per run.3. EPYC 7742 2P: Approximate power consumption of 29891 Joules per run.4. Ampere Altra 29 - nomarch/mtune: Approximate power consumption of 27391 Joules per run.
MinAvgMaxAmpere Altra 2P46.049.049.0Xeon Platinum 8280 2P31.033.334.0EPYC 7742 2P55.559.060.5Ampere Altra 29 - nomarch/mtune48.051.452.0OpenBenchmarking.orgCelsius, Fewer Is BetterHierarchical INTegration 1.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune70M140M210M280M350MMin: 354335284.03 / Avg: 355417184.83 / Max: 357340498.28Min: 380394980.1 / Avg: 382187740.8 / Max: 383105722.13Min: 284124696.11 / Avg: 291664268 / Max: 295529481.45Min: 351912855.68 / Avg: 352844884.36 / Max: 354391871.79Min: 351818556.35 / Avg: 353246293.49 / Max: 354221556.4Min: 351954847.93 / Avg: 352166438.38 / Max: 352439787.451. (CC) gcc options: -O3 -march=native -lm

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 3.1Ampere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune1020304050SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 344.8028.8532.4044.7044.6144.621. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterHigh Performance Conjugate Gradient 3.1Ampere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtune0.02930.05860.08790.11720.14650.130.080.080.12
MinAvgMaxAmpere Altra 2P37.0352.3423.0Xeon Platinum 8280 2P28.5348.8389.4EPYC 7742 2P111.5417.9438.1Ampere Altra 29 - nomarch/mtune39.0360.7429.0OpenBenchmarking.orgWatts, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Power Consumption Monitor1102203304405501. Ampere Altra 2P: Approximate power consumption of 93372 Joules per run.2. Xeon Platinum 8280 2P: Approximate power consumption of 65922 Joules per run.3. EPYC 7742 2P: Approximate power consumption of 63243 Joules per run.4. Ampere Altra 29 - nomarch/mtune: Approximate power consumption of 96186 Joules per run.
MinAvgMaxAmpere Altra 2P46.081.688.0Xeon Platinum 8280 2P30.062.669.0EPYC 7742 2P57.366.672.0Ampere Altra 29 - nomarch/mtune48.083.690.0OpenBenchmarking.orgCelsius, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Temperature Monitor20406080100
OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1Ampere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune918273645Min: 44.74 / Avg: 44.8 / Max: 44.86Min: 28.82 / Avg: 28.85 / Max: 28.89Min: 32.28 / Avg: 32.4 / Max: 32.51Min: 44.62 / Avg: 44.7 / Max: 44.82Min: 44.55 / Avg: 44.61 / Max: 44.66Min: 44.56 / Avg: 44.62 / Max: 44.671. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi

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 SolveAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune48121620SE +/- 0.065, N = 8SE +/- 0.069, N = 3SE +/- 0.042, N = 6SE +/- 0.052, N = 6SE +/- 0.088, N = 15SE +/- 0.087, N = 156.25717.9847.6936.5116.4166.547-march=armv8.2-a -mtune=neoverse-n1-march=armv8.2-a-mtune=neoverse-n11. (CXX) g++ options: -fopenmp -O3 -O2 -march=native
MinAvgMaxAmpere Altra 2P37.0185.7327.0Xeon Platinum 8280 2P28.4333.7410.6EPYC 7742 2P112.8306.6429.6Ampere Altra 29 - nomarch/mtune38.0193.1333.0OpenBenchmarking.orgWatts, Fewer Is Betterm-queens 1.2CPU Power Consumption Monitor1102203304405501. Ampere Altra 2P: Approximate power consumption of 1973 Joules per run.2. Xeon Platinum 8280 2P: Approximate power consumption of 7341 Joules per run.3. EPYC 7742 2P: Approximate power consumption of 1891 Joules per run.4. Ampere Altra 29 - nomarch/mtune: Approximate power consumption of 2092 Joules per run.
MinAvgMaxAmpere Altra 2P50.066.881.0Xeon Platinum 8280 2P32.055.967.0EPYC 7742 2P54.362.972.3Ampere Altra 29 - nomarch/mtune51.065.181.0OpenBenchmarking.orgCelsius, Fewer Is Betterm-queens 1.2CPU Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is Betterm-queens 1.2Time To SolveAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune510152025Min: 6.04 / Avg: 6.26 / Max: 6.6Min: 17.85 / Avg: 17.98 / Max: 18.07Min: 7.54 / Avg: 7.69 / Max: 7.78Min: 6.3 / Avg: 6.51 / Max: 6.7Min: 5.92 / Avg: 6.42 / Max: 7.16Min: 6.11 / Avg: 6.55 / Max: 7.061. (CXX) g++ options: -fopenmp -O3 -O2 -march=native

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 BenchmarkAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune70140210280350SE +/- 0.21, N = 3SE +/- 0.43, N = 3SE +/- 0.51, N = 3SE +/- 2.99, N = 3SE +/- 0.82, N = 3SE +/- 0.54, N = 3237.16329.32300.56240.40239.61242.32
OpenBenchmarking.orgScore Per Watt, More Is BetterNumpy BenchmarkAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtune0.7651.532.2953.063.8252.933.401.942.91
MinAvgMaxAmpere Altra 2P35.080.993.0Xeon Platinum 8280 2P28.597.0101.3EPYC 7742 2P103.7155.0166.9Ampere Altra 29 - nomarch/mtune39.082.796.0OpenBenchmarking.orgWatts, Fewer Is BetterNumpy BenchmarkCPU Power Consumption Monitor501001502002501. Ampere Altra 2P: Approximate power consumption of 27074 Joules per run.2. Xeon Platinum 8280 2P: Approximate power consumption of 23308 Joules per run.3. EPYC 7742 2P: Approximate power consumption of 23098 Joules per run.4. Ampere Altra 29 - nomarch/mtune: Approximate power consumption of 27562 Joules per run.
MinAvgMaxAmpere Altra 2P48.051.052.0Xeon Platinum 8280 2P32.036.438.0EPYC 7742 2P54.856.659.5Ampere Altra 29 - nomarch/mtune49.051.752.0OpenBenchmarking.orgCelsius, Fewer Is BetterNumpy BenchmarkCPU Temperature Monitor1632486480
OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune60120180240300Min: 236.88 / Avg: 237.16 / Max: 237.56Min: 328.66 / Avg: 329.32 / Max: 330.13Min: 299.74 / Avg: 300.56 / Max: 301.49Min: 235.14 / Avg: 240.4 / Max: 245.51Min: 237.97 / Avg: 239.61 / Max: 240.44Min: 241.49 / Avg: 242.32 / Max: 243.33

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 PerformanceAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune5K10K15K20K25KSE +/- 45.96, N = 3SE +/- 22.54, N = 3SE +/- 2.28, N = 3SE +/- 0.22, N = 3SE +/- 31.83, N = 3SE +/- 0.32, N = 38573.413716.625075.08667.48636.28687.7-march=armv8.2-a -mtune=neoverse-n1-m64 -march=native-m64 -march=native-march=armv8.2-a-mtune=neoverse-n11. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl
OpenBenchmarking.orgSigns Per Second Per Watt, More Is BetterOpenSSL 1.1.1RSA 4096-bit PerformanceAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtune163248648046.8539.6172.0146.83
MinAvgMaxAmpere Altra 2P39.0183.0227.0Xeon Platinum 8280 2P28.8346.3460.8EPYC 7742 2P96.1348.2409.5Ampere Altra 29 - nomarch/mtune38.0185.1228.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 1.1.1CPU Power Consumption Monitor1202403604806001. Ampere Altra 2P: Approximate power consumption of 4575 Joules per run.2. Xeon Platinum 8280 2P: Approximate power consumption of 8427 Joules per run.3. EPYC 7742 2P: Approximate power consumption of 4295 Joules per run.4. Ampere Altra 29 - nomarch/mtune: Approximate power consumption of 4627 Joules per run.
MinAvgMaxAmpere Altra 2P48.063.869.0Xeon Platinum 8280 2P32.059.369.0EPYC 7742 2P56.866.170.8Ampere Altra 29 - nomarch/mtune48.064.069.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenSSL 1.1.1CPU Temperature Monitor20406080100
OpenBenchmarking.orgSigns Per Second, More Is BetterOpenSSL 1.1.1RSA 4096-bit PerformanceAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune4K8K12K16K20KMin: 8484 / Avg: 8573.4 / Max: 8636.6Min: 13679.2 / Avg: 13716.6 / Max: 13757.1Min: 25070.4 / Avg: 25074.97 / Max: 25077.4Min: 8667 / Avg: 8667.43 / Max: 8667.7Min: 8572.5 / Avg: 8636.17 / Max: 8668.3Min: 8687.1 / Avg: 8687.67 / Max: 8688.21. (CC) gcc options: -pthread -O3 -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 LavaMDAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune1326395265SE +/- 0.80, N = 15SE +/- 0.10, N = 3SE +/- 0.15, N = 3SE +/- 0.70, N = 15SE +/- 0.82, N = 15SE +/- 0.15, N = 331.7756.4231.3231.5330.6528.961. (CXX) g++ options: -O2 -lOpenCL
MinAvgMaxAmpere Altra 2P37.0246.4440.0Xeon Platinum 8280 2P29.0351.3466.0EPYC 7742 2P107.2355.0452.8Ampere Altra 29 - nomarch/mtune37.0248.1436.0OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor1202403604806001. Ampere Altra 2P: Approximate power consumption of 8839 Joules per run.2. Xeon Platinum 8280 2P: Approximate power consumption of 21196 Joules per run.3. EPYC 7742 2P: Approximate power consumption of 6391 Joules per run.4. Ampere Altra 29 - nomarch/mtune: Approximate power consumption of 8833 Joules per run.
MinAvgMaxAmpere Altra 2P49.071.697.0Xeon Platinum 8280 2P35.063.273.0EPYC 7742 2P54.865.073.5Ampere Altra 29 - nomarch/mtune51.072.497.0OpenBenchmarking.orgCelsius, Fewer Is BetterRodinia 3.1CPU Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune1122334455Min: 28.2 / Avg: 31.77 / Max: 36.06Min: 56.31 / Avg: 56.42 / Max: 56.62Min: 31.06 / Avg: 31.32 / Max: 31.57Min: 27.76 / Avg: 31.53 / Max: 35.04Min: 27.62 / Avg: 30.65 / Max: 34.65Min: 28.68 / Avg: 28.96 / Max: 29.191. (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: 250 - Mode: Read WriteAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune8K16K24K32K40KSE +/- 247.30, N = 12SE +/- 366.26, N = 9SE +/- 1158.09, N = 12SE +/- 375.16, N = 12SE +/- 59.38, N = 3SE +/- 283.73, N = 12231543766024214234312503423582-march=armv8.2-a -mtune=neoverse-n1-march=native-march=native-march=armv8.2-a-mtune=neoverse-n11. (CC) gcc options: -fno-strict-aliasing -fwrapv -O3 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 250 - Mode: Read WriteAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune7K14K21K28K35KMin: 20792.74 / Avg: 23153.75 / Max: 24064.23Min: 36862.41 / Avg: 37659.79 / Max: 40227.91Min: 19033.82 / Avg: 24214.18 / Max: 33051.36Min: 20410.07 / Avg: 23431.11 / Max: 25064.65Min: 24958.95 / Avg: 25034.43 / Max: 25151.58Min: 21798.57 / Avg: 23581.81 / Max: 24830.541. (CC) gcc options: -fno-strict-aliasing -fwrapv -O3 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 250 - Mode: Read Write - Average LatencyAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune3691215SE +/- 0.124, N = 12SE +/- 0.062, N = 9SE +/- 0.483, N = 12SE +/- 0.181, N = 12SE +/- 0.024, N = 3SE +/- 0.132, N = 1210.8576.65710.61810.75010.03510.669-march=armv8.2-a -mtune=neoverse-n1-march=native-march=native-march=armv8.2-a-mtune=neoverse-n11. (CC) gcc options: -fno-strict-aliasing -fwrapv -O3 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 13.0CPU Power Consumption MonitorAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtune60120180240300Min: 34 / Avg: 83.83 / Max: 208Min: 28.69 / Avg: 111.71 / Max: 293.1Min: 101.94 / Avg: 170.82 / Max: 334.86Min: 34 / Avg: 87.67 / Max: 2051. Ampere Altra 2P: Approximate power consumption of 14230 Joules per run.2. Xeon Platinum 8280 2P: Approximate power consumption of 13306 Joules per run.3. EPYC 7742 2P: Approximate power consumption of 11189 Joules per run.4. Ampere Altra 29 - nomarch/mtune: Approximate power consumption of 13063 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature MonitorAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtune1326395265Min: 48 / Avg: 51.47 / Max: 58Min: 31 / Avg: 33.72 / Max: 45Min: 54.75 / Avg: 60.57 / Max: 69.5Min: 49 / Avg: 52.79 / Max: 60
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 250 - Mode: Read Write - Average LatencyAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune3691215Min: 10.43 / Avg: 10.86 / Max: 12.07Min: 6.23 / Avg: 6.66 / Max: 6.8Min: 7.6 / Avg: 10.62 / Max: 13.19Min: 10.02 / Avg: 10.75 / Max: 12.3Min: 9.99 / Avg: 10.03 / Max: 10.07Min: 10.11 / Avg: 10.67 / Max: 11.541. (CC) gcc options: -fno-strict-aliasing -fwrapv -O3 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

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 SuiteAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune140K280K420K560K700KSE +/- 658.53, N = 3SE +/- 716.89, N = 4SE +/- 5524.79, N = 3SE +/- 3173.76, N = 3SE +/- 595.52, N = 3SE +/- 3585.35, N = 3529344652140515977519124522951520476
OpenBenchmarking.orgScore Per Watt, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtune2K4K6K8K10K7387.187783.173455.117113.99
MinAvgMaxAmpere Altra 2P35.071.782.0Xeon Platinum 8280 2P28.683.899.2EPYC 7742 2P108.6149.3155.3Ampere Altra 29 - nomarch/mtune36.073.085.0OpenBenchmarking.orgWatts, Fewer Is BetterPHPBench 0.8.1CPU Power Consumption Monitor40801201602001. Ampere Altra 2P: Approximate power consumption of 1672 Joules per run.2. Xeon Platinum 8280 2P: Approximate power consumption of 1634 Joules per run.3. EPYC 7742 2P: Approximate power consumption of 1792 Joules per run.4. Ampere Altra 29 - nomarch/mtune: Approximate power consumption of 1751 Joules per run.
MinAvgMaxAmpere Altra 2P48.049.650.0Xeon Platinum 8280 2P32.033.134.0EPYC 7742 2P56.558.159.0Ampere Altra 29 - nomarch/mtune49.050.952.0OpenBenchmarking.orgCelsius, Fewer Is BetterPHPBench 0.8.1CPU Temperature Monitor1632486480
OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune110K220K330K440K550KMin: 528027 / Avg: 529343.67 / Max: 530030Min: 650531 / Avg: 652139.5 / Max: 653593Min: 505077 / Avg: 515977.33 / Max: 522995Min: 514115 / Avg: 519124 / Max: 525005Min: 521840 / Avg: 522951.33 / Max: 523878Min: 513372 / Avg: 520476 / Max: 524873

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 TimesAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune30060090012001500SE +/- 1.20, N = 3SE +/- 0.88, N = 3SE +/- 5.29, N = 3SE +/- 4.58, N = 3SE +/- 4.70, N = 3130410961173130713081308
MinAvgMaxAmpere Altra 2P37.073.382.0Xeon Platinum 8280 2P28.588.899.6EPYC 7742 2P113.6150.2155.4Ampere Altra 29 - nomarch/mtune35.075.386.0OpenBenchmarking.orgWatts, Fewer Is BetterPyBench 2018-02-16CPU Power Consumption Monitor40801201602001. Ampere Altra 2P: Approximate power consumption of 2566 Joules per run.2. Xeon Platinum 8280 2P: Approximate power consumption of 2577 Joules per run.3. Ampere Altra 29 - nomarch/mtune: Approximate power consumption of 2636 Joules per run.
MinAvgMaxAmpere Altra 2P47.048.950.0Xeon Platinum 8280 2P30.032.133.0EPYC 7742 2P53.855.358.3Ampere Altra 29 - nomarch/mtune48.050.751.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyBench 2018-02-16CPU Temperature Monitor1632486480
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune2004006008001000Min: 1302 / Avg: 1303.67 / Max: 1306Min: 1094 / Avg: 1095.67 / Max: 1097Min: 1299 / Avg: 1307 / Max: 1317Min: 1302 / Avg: 1308 / Max: 1317Min: 1302 / Avg: 1307.67 / Max: 1317

Redis

Redis is an open-source data structure server. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: GETAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune500K1000K1500K2000K2500KSE +/- 25760.99, N = 15SE +/- 4383.55, N = 5SE +/- 34420.11, N = 15SE +/- 25905.52, N = 15SE +/- 20696.26, N = 15SE +/- 16735.15, N = 31846629.652488006.901973922.332035777.131980047.512082583.42-march=armv8.2-a -mtune=neoverse-n1-march=native-march=native-march=armv8.2-a-mtune=neoverse-n11. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second Per Watt, More Is BetterRedis 6.0.9Test: GETAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtune20K40K60K80K100K46643.7379620.8216146.3349532.84
MinAvgMaxAmpere Altra 2P34.039.678.0Xeon Platinum 8280 2P28.331.259.2EPYC 7742 2P102.2122.3150.7Ampere Altra 29 - nomarch/mtune34.041.181.0OpenBenchmarking.orgWatts, Fewer Is BetterRedis 6.0.9CPU Power Consumption Monitor40801201602001. Ampere Altra 2P: Approximate power consumption of 586 Joules per run.2. Xeon Platinum 8280 2P: Approximate power consumption of 450 Joules per run.3. EPYC 7742 2P: Approximate power consumption of 905 Joules per run.4. Ampere Altra 29 - nomarch/mtune: Approximate power consumption of 606 Joules per run.
MinAvgMaxAmpere Altra 2P44.044.547.0Xeon Platinum 8280 2P25.026.026.0EPYC 7742 2P51.052.855.3Ampere Altra 29 - nomarch/mtune46.046.749.0OpenBenchmarking.orgCelsius, Fewer Is BetterRedis 6.0.9CPU Temperature Monitor1530456075
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: GETAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune400K800K1200K1600K2000KMin: 1628768.62 / Avg: 1846629.65 / Max: 1992605.62Min: 2475881 / Avg: 2488006.9 / Max: 2500400Min: 1600051.25 / Avg: 1973922.33 / Max: 2123346.25Min: 1798964 / Avg: 2035777.13 / Max: 2164640.75Min: 1845018.5 / Avg: 1980047.51 / Max: 2114300.25Min: 2049967.25 / Avg: 2082583.42 / Max: 21053981. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

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 ReadAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune200M400M600M800M1000MSE +/- 10379193.81, N = 15SE +/- 385263.55, N = 3SE +/- 5369165.24, N = 3SE +/- 10981934.32, N = 12SE +/- 9762288.83, N = 15SE +/- 11322408.14, N = 15890738361247216815482174282907899101902448814902181816-march=armv8-a+crc-march=armv8-a+crc-march=armv8-a+crc-march=armv8-a+crc1. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterFacebook RocksDB 6.3.6Test: Random ReadAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtune500K1000K1500K2000K2500K2204937.01642060.421129501.202187339.52
MinAvgMaxAmpere Altra 2P36.0404.0462.0Xeon Platinum 8280 2P28.9385.0466.1EPYC 7742 2P98.9426.9454.4Ampere Altra 29 - nomarch/mtune37.0415.1474.0OpenBenchmarking.orgWatts, Fewer Is BetterFacebook RocksDB 6.3.6CPU Power Consumption Monitor1202403604806001. Ampere Altra 2P: Approximate power consumption of 26420 Joules per run.2. Xeon Platinum 8280 2P: Approximate power consumption of 24771 Joules per run.3. EPYC 7742 2P: Approximate power consumption of 13803 Joules per run.4. Ampere Altra 29 - nomarch/mtune: Approximate power consumption of 26668 Joules per run.
MinAvgMaxAmpere Altra 2P47.095.5104.0Xeon Platinum 8280 2P34.067.873.0EPYC 7742 2P56.866.168.8Ampere Altra 29 - nomarch/mtune46.098.4106.0OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6CPU Temperature Monitor20406080100
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random ReadAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune160M320M480M640M800MMin: 801191464 / Avg: 890738361.27 / Max: 925610194Min: 246447180 / Avg: 247216815.33 / Max: 247633728Min: 471549408 / Avg: 482174282 / Max: 488834994Min: 791849373 / Avg: 907899101.25 / Max: 927465526Min: 799652062 / Avg: 902448813.6 / Max: 926350615Min: 801398708 / Avg: 902181815.6 / Max: 9315679031. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

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 v2Ampere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune70140210280350SE +/- 1.09, N = 3SE +/- 0.62, N = 3SE +/- 3.93, N = 3SE +/- 5.02, N = 15SE +/- 4.73, N = 15SE +/- 1.47, N = 3317.81337.36332.59320.31336.11318.11-march=armv8.2-a -mtune=neoverse-n1 - MIN: 297.54 / MAX: 422.5-march=native - MIN: 335.4 / MAX: 423.46-march=native - MIN: 321.8 / MAX: 864.72MIN: 293.05 / MAX: 697.95-march=armv8.2-a - MIN: 303.63 / MAX: 487.84-mtune=neoverse-n1 - MIN: 298.96 / MAX: 416.051. (CXX) g++ options: -O3 -fopenmp -pthread -fvisibility=hidden -rdynamic -ldl
MinAvgMaxAmpere Altra 2P38.079.8170.0Xeon Platinum 8280 2P28.4110.3139.5EPYC 7742 2P102.7190.7209.5Ampere Altra 29 - nomarch/mtune38.083.0161.0OpenBenchmarking.orgWatts, Fewer Is BetterTNN 0.2.3CPU Power Consumption Monitor601201802403001. Ampere Altra 2P: Approximate power consumption of 2153 Joules per run.2. Xeon Platinum 8280 2P: Approximate power consumption of 3051 Joules per run.3. EPYC 7742 2P: Approximate power consumption of 2733 Joules per run.4. Ampere Altra 29 - nomarch/mtune: Approximate power consumption of 2258 Joules per run.
MinAvgMaxAmpere Altra 2P48.050.652.0Xeon Platinum 8280 2P28.031.934.0EPYC 7742 2P55.060.463.5Ampere Altra 29 - nomarch/mtune51.054.457.0OpenBenchmarking.orgCelsius, Fewer Is BetterTNN 0.2.3CPU Temperature Monitor20406080100
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2Ampere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune60120180240300Min: 315.66 / Avg: 317.81 / Max: 319.16Min: 336.57 / Avg: 337.36 / Max: 338.58Min: 324.83 / Avg: 332.59 / Max: 337.58Min: 303.47 / Avg: 320.31 / Max: 368Min: 317.1 / Avg: 336.11 / Max: 373.98Min: 315.16 / Avg: 318.11 / Max: 319.591. (CXX) g++ options: -O3 -fopenmp -pthread -fvisibility=hidden -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Ampere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune70140210280350SE +/- 3.77, N = 15SE +/- 0.04, N = 3SE +/- 0.45, N = 3SE +/- 2.78, N = 15SE +/- 0.26, N = 3SE +/- 0.89, N = 3290.80326.47300.67276.39267.82250.02-march=armv8.2-a -mtune=neoverse-n1 - MIN: 249.46 / MAX: 443.15-march=native - MIN: 326.02 / MAX: 327.08-march=native - MIN: 298.85 / MAX: 303.55MIN: 250.72 / MAX: 300.03-march=armv8.2-a - MIN: 266.94 / MAX: 268.91-mtune=neoverse-n1 - MIN: 248.44 / MAX: 252.171. (CXX) g++ options: -O3 -fopenmp -pthread -fvisibility=hidden -rdynamic -ldl
MinAvgMaxAmpere Altra 2P34.072.084.0Xeon Platinum 8280 2P28.485.496.9EPYC 7742 2P104.0146.4153.8Ampere Altra 29 - nomarch/mtune36.075.592.0OpenBenchmarking.orgWatts, Fewer Is BetterTNN 0.2.3CPU Power Consumption Monitor40801201602001. Ampere Altra 2P: Approximate power consumption of 1732 Joules per run.2. Xeon Platinum 8280 2P: Approximate power consumption of 2307 Joules per run.3. EPYC 7742 2P: Approximate power consumption of 1903 Joules per run.4. Ampere Altra 29 - nomarch/mtune: Approximate power consumption of 1777 Joules per run.
MinAvgMaxAmpere Altra 2P47.049.550.0Xeon Platinum 8280 2P30.031.032.0EPYC 7742 2P53.560.666.5Ampere Altra 29 - nomarch/mtune49.051.453.0OpenBenchmarking.orgCelsius, Fewer Is BetterTNN 0.2.3CPU Temperature Monitor20406080100
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Ampere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune60120180240300Min: 262.28 / Avg: 290.8 / Max: 308.45Min: 326.39 / Avg: 326.47 / Max: 326.53Min: 299.81 / Avg: 300.67 / Max: 301.34Min: 250.94 / Avg: 276.39 / Max: 299.39Min: 267.45 / Avg: 267.82 / Max: 268.33Min: 248.92 / Avg: 250.02 / Max: 251.781. (CXX) g++ options: -O3 -fopenmp -pthread -fvisibility=hidden -rdynamic -ldl

Blender

Blender is an open-source 3D creation software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing is supported. This system/blender test profile makes use of the system-supplied Blender. Use pts/blender if wishing to stick to a fixed version of Blender. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.83.5Blend File: Classroom - Compute: CPU-OnlyAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune20406080100SE +/- 0.20, N = 3SE +/- 0.16, N = 3SE +/- 0.31, N = 3SE +/- 0.15, N = 3SE +/- 0.17, N = 3SE +/- 0.16, N = 365.3384.5644.9665.6165.7165.77
MinAvgMaxAmpere Altra 2P37.0283.5337.0Ampere Altra 29 - nomarch/mtune38.0290.1344.0OpenBenchmarking.orgWatts, Fewer Is BetterBlender 2.83.5CPU Power Consumption Monitor801602403204001. Ampere Altra 2P: Approximate power consumption of 20321 Joules per run.2. Ampere Altra 29 - nomarch/mtune: Approximate power consumption of 20889 Joules per run.
MinAvgMaxAmpere Altra 2P47.072.280.0Ampere Altra 29 - nomarch/mtune48.074.481.0OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 2.83.5CPU Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.83.5Blend File: Classroom - Compute: CPU-OnlyAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune1632486480Min: 64.95 / Avg: 65.33 / Max: 65.63Min: 84.33 / Avg: 84.56 / Max: 84.87Min: 44.38 / Avg: 44.96 / Max: 45.45Min: 65.34 / Avg: 65.61 / Max: 65.84Min: 65.42 / Avg: 65.71 / Max: 66Min: 65.45 / Avg: 65.77 / Max: 65.96

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.83.5Blend File: Barbershop - Compute: CPU-OnlyAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just march50100150200250SE +/- 2.76, N = 9SE +/- 0.12, N = 3SE +/- 1.78, N = 3SE +/- 2.83, N = 3SE +/- 2.70, N = 6219.31162.32131.02223.20222.63
OpenBenchmarking.orgWatts, Fewer Is BetterBlender 2.83.5CPU Power Consumption MonitorAmpere Altra 2PAmpere Altra 29 - nomarch/mtune60120180240300Min: 36 / Avg: 196.59 / Max: 315Min: 37 / Avg: 196.07 / Max: 3121. Ampere Altra 2P: Approximate power consumption of 51158 Joules per run.2. Ampere Altra 29 - nomarch/mtune: Approximate power consumption of 52090 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 2.83.5CPU Temperature MonitorAmpere Altra 2PAmpere Altra 29 - nomarch/mtune1530456075Min: 47 / Avg: 61.7 / Max: 78Min: 49 / Avg: 63.95 / Max: 81
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.83.5Blend File: Barbershop - Compute: CPU-OnlyAmpere Altra 2PXeon Platinum 8280 2PEPYC 7742 2PAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just march4080120160200Min: 205.92 / Avg: 219.31 / Max: 232.13Min: 162.15 / Avg: 162.32 / Max: 162.55Min: 128.78 / Avg: 131.02 / Max: 134.54Min: 217.96 / Avg: 223.2 / Max: 227.65Min: 216.72 / Avg: 222.63 / Max: 235.54

LZ4 Compression

This test measures the time needed to compress/decompress a sample file (an Ubuntu ISO) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression SpeedAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune2K4K6K8K10KSE +/- 270.35, N = 3SE +/- 21.91, N = 3SE +/- 223.50, N = 310349.810625.010286.01. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s Per Watt, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression SpeedAmpere Altra 29 - nomarch/mtune306090120150128.20
MinAvgMaxAmpere Altra 29 - nomarch/mtune39.080.793.0OpenBenchmarking.orgWatts, Fewer Is BetterLZ4 Compression 1.9.3CPU Power Consumption Monitor204060801001. Ampere Altra 29 - nomarch/mtune: Approximate power consumption of 3337 Joules per run.
MinAvgMaxAmpere Altra 29 - nomarch/mtune48.050.851.0OpenBenchmarking.orgCelsius, Fewer Is BetterLZ4 Compression 1.9.3CPU Temperature Monitor1530456075
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression SpeedAmpere Altra 29 - nomarch/mtuneAmpere Altra 2P - Just marchAmpere Altra 2P - Just mtune2K4K6K8K10KMin: 9809.8 / Avg: 10349.8 / Max: 10643.7Min: 10601.7 / Avg: 10625 / Max: 10668.8Min: 9846.5 / Avg: 10286 / Max: 10576.41. (CC) gcc options: -O3

Meta Performance Per Watts

OpenBenchmarking.orgPerformance Per Watts, More Is BetterMeta Performance Per WattsPerformance Per WattsAmpere Altra 29 - nomarch/mtune30K60K90K120K150K161724.28

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringAmpere Altra 29 - nomarch/mtune80160240320400Min: 34 / Avg: 156.74 / Max: 474

CPU Temperature Monitor

OpenBenchmarking.orgCelsiusCPU Temperature MonitorPhoronix Test Suite System MonitoringAmpere Altra 29 - nomarch/mtune20406080100Min: 44 / Avg: 60.98 / Max: 106

Ampere Altra 2P

Processor: Ampere Altra ARMv8 Neoverse-N1 @ 3.00GHz (160 Cores), Motherboard: WIWYNN Mt.Jade (1.1.20201019 BIOS), Chipset: Ampere Computing LLC Device e100, Memory: 16 x 32 GB DDR4-3200MT/s Samsung M393A4K40DB3-CWE, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Monitor: VE228, Network: Mellanox MT28908 + Intel I210

OS: Ubuntu 20.10, Kernel: 5.8.0-29-generic (aarch64), Display Server: X Server 1.20.9, Display Driver: modesetting 1.20.9, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080

Environment Notes: CXXFLAGS="-O3 -march=armv8.2-a -mtune=neoverse-n1" CFLAGS="-O3 -march=armv8.2-a -mtune=neoverse-n1"
Compiler Notes: --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-objc-gc=auto --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto -v
Disk Notes: NONE / relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: cppc_cpufreq performance (Boost: Enabled)
Java Notes: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.10)
Python Notes: Python 3.8.6
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 1 December 2020 15:20 by user phoronix.

Xeon Platinum 8280 2P

Processor: 2 x Intel Xeon Platinum 8280 @ 4.00GHz (56 Cores / 112 Threads), Motherboard: GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 12 x 32 GB DDR4-2933MT/s HMA84GR7CJR4N-WM, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Network: 2 x Intel X722 for 1GbE + 2 x QLogic FastLinQ QL41000 10/25/40/50GbE

OS: Ubuntu 20.10, Kernel: 5.8.0-29-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1024x768

Environment Notes: CXXFLAGS="-O3 -march=native" CFLAGS="-O3 -march=native"
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,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
Disk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: intel_pstate performance - CPU Microcode: 0x5003003
Java Notes: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.10)
Python Notes: Python 2.7.18 + Python 3.8.6
Security Notes: 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

Testing initiated at 22 November 2020 17:43 by user root.

EPYC 7742 2P

Processor: 2 x AMD EPYC 7742 64-Core @ 2.25GHz (128 Cores / 256 Threads), Motherboard: AMD DAYTONA_X (RDY1006G BIOS), Chipset: AMD Starship/Matisse, Memory: 16 x 32 GB DDR4-3200MT/s 36ASF4G72PZ-3G2E2, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Monitor: VE228, Network: 2 x Mellanox MT27710

OS: Ubuntu 20.10, Kernel: 5.8.0-29-generic (x86_64), Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080

Environment Notes: CXXFLAGS="-O3 -march=native" CFLAGS="-O3 -march=native"
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,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
Disk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x8301034
Java Notes: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.10)
Python Notes: Python 2.7.18 + Python 3.8.6
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 23 November 2020 10:23 by user root.

Ampere Altra 29 - nomarch/mtune

Environment Notes: CXXFLAGS=-O3 CFLAGS=-O3
Compiler Notes: --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-objc-gc=auto --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto -v
Processor Notes: Scaling Governor: cppc_cpufreq performance (Boost: Enabled)
Python Notes: Python 3.8.6
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 10 December 2020 13:35 by user phoronix.

Ampere Altra 2P - Just march

Environment Notes: CXXFLAGS="-O3 -march=armv8.2-a" CFLAGS="-O3 -march=armv8.2-a"
Compiler Notes: --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-objc-gc=auto --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto -v
Processor Notes: Scaling Governor: cppc_cpufreq performance (Boost: Enabled)
Python Notes: Python 3.8.6
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 10 December 2020 19:17 by user phoronix.

Ampere Altra 2P - Just mtune

Processor: Ampere Altra ARMv8 Neoverse-N1 @ 3.30GHz (160 Cores), Motherboard: WIWYNN Mt.Jade (1.1.20201019 BIOS), Chipset: Ampere Computing LLC Device e100, Memory: 502GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP + 960GB SAMSUNG MZ1LB960HAJQ-00007, Graphics: ASPEED, Monitor: VE228, Network: Mellanox MT28908 + Intel I210

OS: Ubuntu 20.10, Kernel: 5.10.0-051000rc6daily20201206-generic (aarch64) 20201206, Display Server: X Server 1.20.9, Display Driver: modesetting 1.20.9, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080

Environment Notes: CXXFLAGS="-O3 -mtune=neoverse-n1" CFLAGS="-O3 -mtune=neoverse-n1"
Compiler Notes: --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-objc-gc=auto --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto -v
Processor Notes: Scaling Governor: cppc_cpufreq performance (Boost: Enabled)
Python Notes: Python 3.8.6
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 10 December 2020 22:32 by user phoronix.