Ampere Altra Max 128 Core vs. AMD EPYC vs. Intel Xeon Linux Performance - Ubuntu 23.10 Server Benchmarks

Benchmarks by Michael Larabel for a future article.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2312011-NE-AMPERE21815
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EPYC 9554
November 13 2023
  9 Hours, 25 Minutes
EPYC 9654
November 15 2023
  9 Hours, 20 Minutes
EPYC 9684X
November 08 2023
  11 Hours, 12 Minutes
EPYC 9754
November 09 2023
  10 Hours, 41 Minutes
Xeon Platinum 8490H
October 31 2023
  8 Hours, 28 Minutes
Ampere Altra Max 128c
November 27 2023
  13 Hours, 36 Minutes
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EPYC 9554

Processor: AMD EPYC 9554 64-Core @ 3.10GHz (64 Cores / 128 Threads), Motherboard: AMD Titanite_4G (RTI1007B BIOS), Chipset: AMD Device 14a4, Memory: 768GB, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS, Graphics: ASPEED, Network: Broadcom NetXtreme BCM5720 PCIe

OS: Ubuntu 23.10, Kernel: 6.6.0-rc5-phx-patched (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --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-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-gcn/usr --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-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa10113e
Java Notes: OpenJDK Runtime Environment (build 11.0.20+8-post-Ubuntu-1ubuntu1)
Python Notes: Python 3.11.6
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

EPYC 9654

Changed Processor to AMD EPYC 9654 96-Core @ 2.40GHz (96 Cores / 192 Threads).

EPYC 9684X

Changed Processor to AMD EPYC 9684X 96-Core @ 2.55GHz (96 Cores / 192 Threads).

EPYC 9754

Changed Processor to AMD EPYC 9754 128-Core @ 2.25GHz (128 Cores / 256 Threads).

Processor Change: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xaa00116

Xeon Platinum 8490H

Processor: Intel Xeon Platinum 8490H @ 3.50GHz (60 Cores / 120 Threads), Motherboard: Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS), Chipset: Intel Device 1bce, Memory: 512GB, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS, Graphics: ASPEED

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --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-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-gcn/usr --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-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x2b0004b1
Java Notes: OpenJDK Runtime Environment (build 11.0.20+8-post-Ubuntu-1ubuntu1)
Python Notes: Python 3.11.6
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected

Ampere Altra Max 128c

Processor: ARMv8 Neoverse-N1 @ 3.00GHz (128 Cores), Motherboard: GIGABYTE MP32-AR2-00 v01000100 (F31k SCP: 2.10.20220531 BIOS), Chipset: Ampere Computing LLC Altra PCI Root Complex A, Memory: 512GB, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS, Graphics: ASPEED, Monitor: VGA HDMI, Network: 2 x Intel I350

OS: Ubuntu 23.10, Kernel: 6.6.0-rc5-phx-patched (aarch64), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1080

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-bootstrap --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-link-serialization=2 --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-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto -v
Processor Notes: Scaling Governor: cppc_cpufreq performance (Boost: Disabled)
Java Notes: OpenJDK Runtime Environment (build 11.0.20+8-post-Ubuntu-1ubuntu1)
Python Notes: Python 3.11.6
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Mitigation of CSV2 BHB + srbds: Not affected + tsx_async_abort: Not affected

Ampere Altra Max 128 Core vs. AMD EPYC vs. Intel Xeon Linux Performance - Ubuntu 23.10 Server BenchmarksProcessorMotherboardChipsetMemoryDiskGraphicsNetworkMonitorOSKernelDesktopDisplay ServerCompilerFile-SystemScreen ResolutionEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128cAMD EPYC 9554 64-Core @ 3.10GHz (64 Cores / 128 Threads)AMD Titanite_4G (RTI1007B BIOS)AMD Device 14a4768GB3201GB Micron_7450_MTFDKCC3T2TFSASPEEDBroadcom NetXtreme BCM5720 PCIeUbuntu 23.106.6.0-rc5-phx-patched (x86_64)GNOME Shell 45.0X Server 1.21.1.7GCC 13.2.0ext41920x1200AMD EPYC 9654 96-Core @ 2.40GHz (96 Cores / 192 Threads)AMD EPYC 9684X 96-Core @ 2.55GHz (96 Cores / 192 Threads)AMD EPYC 9754 128-Core @ 2.25GHz (128 Cores / 256 Threads)Intel Xeon Platinum 8490H @ 3.50GHz (60 Cores / 120 Threads)Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS)Intel Device 1bce512GBARMv8 Neoverse-N1 @ 3.00GHz (128 Cores)GIGABYTE MP32-AR2-00 v01000100 (F31k SCP: 2.10.20220531 BIOS)Ampere Computing LLC Altra PCI Root Complex AVGA HDMI2 x Intel I3506.6.0-rc5-phx-patched (aarch64)1920x1080OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- EPYC 9554: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --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-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-gcn/usr --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-build-config=bootstrap-lto-lean --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 9654: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --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-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-gcn/usr --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-build-config=bootstrap-lto-lean --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 9684X: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --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-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-gcn/usr --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-build-config=bootstrap-lto-lean --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 9754: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --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-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-gcn/usr --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-build-config=bootstrap-lto-lean --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 Platinum 8490H: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --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-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-gcn/usr --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-build-config=bootstrap-lto-lean --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 Max 128c: --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-bootstrap --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-link-serialization=2 --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-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto -v Processor Details- EPYC 9554: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa10113e- EPYC 9654: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa10113e- EPYC 9684X: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa10113e- EPYC 9754: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xaa00116- Xeon Platinum 8490H: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x2b0004b1- Ampere Altra Max 128c: Scaling Governor: cppc_cpufreq performance (Boost: Disabled)Java Details- OpenJDK Runtime Environment (build 11.0.20+8-post-Ubuntu-1ubuntu1)Python Details- Python 3.11.6Security Details- EPYC 9554: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - EPYC 9654: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - EPYC 9684X: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - EPYC 9754: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - Xeon Platinum 8490H: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected - Ampere Altra Max 128c: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Mitigation of CSV2 BHB + srbds: Not affected + tsx_async_abort: Not affected

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 3.1X Y Z: 144 144 144 - RT: 60EPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c714212835SE +/- 0.04, N = 3SE +/- 0.35, N = 3SE +/- 0.28, N = 9SE +/- 0.27, N = 3SE +/- 0.11, N = 3SE +/- 0.00, N = 322.4532.1323.7825.8931.2421.241. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -lmpi_cxx -lmpi
OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterHigh Performance Conjugate Gradient 3.1X Y Z: 144 144 144 - RT: 60EPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c0.02970.05940.08910.11880.14850.1010.1170.0870.1090.0910.132
OpenBenchmarking.orgWatts, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Power Consumption MonitorEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c60120180240300Min: 22.65 / Avg: 222.24 / Max: 257.64Min: 27.26 / Avg: 273.62 / Max: 311.89Min: 29.6 / Avg: 272.17 / Max: 306.17Min: 18.61 / Avg: 236.52 / Max: 294.94Min: 64.77 / Avg: 344.51 / Max: 354.15Min: 21.54 / Avg: 161.52 / Max: 176.131. EPYC 9554: Approximate power consumption of 119416 Joules per run.2. EPYC 9654: Approximate power consumption of 180865 Joules per run.3. EPYC 9684X: Approximate power consumption of 212926 Joules per run.4. EPYC 9754: Approximate power consumption of 229347 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 130684 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 190213 Joules per run.

NAS Parallel Benchmarks

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

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c70K140K210K280K350KSE +/- 560.21, N = 4SE +/- 1485.73, N = 4SE +/- 1185.12, N = 5SE +/- 174.81, N = 4SE +/- 44.76, N = 3SE +/- 130.49, N = 3233622.44261864.11312135.73296367.04180757.4353396.601. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.5
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c300600900120015001083.181161.121445.111404.07624.61276.37
MinAvgMaxEPYC 955421.8215.7302.5EPYC 965426.5225.5320.2EPYC 9684X29.4216.0305.6EPYC 975417.2211.1316.4Xeon Platinum 8490H60.1289.4374.1Ampere Altra Max 128c23.3193.2217.5OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 3721 Joules per run.2. EPYC 9654: Approximate power consumption of 3721 Joules per run.3. EPYC 9684X: Approximate power consumption of 3110 Joules per run.4. EPYC 9754: Approximate power consumption of 3377 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 6077 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 11528 Joules per run.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c13K26K39K52K65KSE +/- 363.39, N = 8SE +/- 537.84, N = 15SE +/- 469.70, N = 9SE +/- 391.92, N = 15SE +/- 268.67, N = 15SE +/- 15.14, N = 545867.4454465.0459557.0844431.5835560.2517272.731. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.5
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c90180270360450332.67380.13437.49297.51162.31116.77
MinAvgMaxEPYC 955421.9137.9309.5EPYC 965425.9143.3319.2EPYC 9684X28.7136.1291.5EPYC 975418.7149.3321.4Xeon Platinum 8490H54.8219.1377.0Ampere Altra Max 128c25.3147.9236.3OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 1137 Joules per run.2. EPYC 9654: Approximate power consumption of 1118 Joules per run.3. EPYC 9684X: Approximate power consumption of 1044 Joules per run.4. EPYC 9754: Approximate power consumption of 1424 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 1986 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 2130 Joules per run.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.CEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c30K60K90K120K150KSE +/- 1162.69, N = 15SE +/- 698.81, N = 8SE +/- 686.49, N = 8SE +/- 1190.42, N = 8SE +/- 445.75, N = 6SE +/- 41.38, N = 4124827.75125164.03124391.00141255.0770989.9735153.271. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.5
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.CEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c2004006008001000904.17837.59812.371081.10306.03244.94
MinAvgMaxEPYC 955422.3138.1302.0EPYC 965426.1149.4304.5EPYC 9684X30.2153.1294.6EPYC 975418.4130.7305.6Xeon Platinum 8490H55.2232.0359.8Ampere Altra Max 128c26.5143.5215.4OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 1178 Joules per run.2. EPYC 9654: Approximate power consumption of 1308 Joules per run.3. EPYC 9684X: Approximate power consumption of 1340 Joules per run.4. EPYC 9754: Approximate power consumption of 1241 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 2590 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 2619 Joules per run.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c13002600390052006500SE +/- 14.93, N = 5SE +/- 13.89, N = 5SE +/- 65.80, N = 5SE +/- 18.26, N = 5SE +/- 6.63, N = 4SE +/- 0.34, N = 35184.365195.246138.545773.252885.711196.331. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.5
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c91827364532.75930.16736.17039.26411.6048.928
MinAvgMaxEPYC 955421.7158.3289.5EPYC 965425.5172.2306.4EPYC 9684X30.2169.7293.9EPYC 975418.3147.0271.0Xeon Platinum 8490H64.4248.7349.1Ampere Altra Max 128c23.9134.0177.6OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 2216 Joules per run.2. EPYC 9654: Approximate power consumption of 2377 Joules per run.3. EPYC 9684X: Approximate power consumption of 2274 Joules per run.4. EPYC 9754: Approximate power consumption of 1970 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 5160 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 4422 Joules per run.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c70K140K210K280K350KSE +/- 1817.56, N = 5SE +/- 686.23, N = 5SE +/- 1937.17, N = 6SE +/- 1940.05, N = 15SE +/- 157.58, N = 4SE +/- 114.80, N = 3253193.84271216.04333543.81279880.91136342.9139811.961. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.5
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c4008001200160020001351.511373.591835.751461.21500.46206.80
MinAvgMaxEPYC 955422.2187.3292.6EPYC 965425.4197.5305.2EPYC 9684X29.4181.7285.8EPYC 975416.3191.5315.7Xeon Platinum 8490H58.6272.4332.7Ampere Altra Max 128c23.1192.5222.8OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor801602403204001. EPYC 9554: Approximate power consumption of 2435 Joules per run.2. EPYC 9654: Approximate power consumption of 2527 Joules per run.3. EPYC 9684X: Approximate power consumption of 2059 Joules per run.4. EPYC 9754: Approximate power consumption of 2592 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 5449 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 11037 Joules per run.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c30K60K90K120K150KSE +/- 1712.13, N = 15SE +/- 1159.21, N = 15SE +/- 1538.33, N = 15SE +/- 667.76, N = 9SE +/- 405.89, N = 9SE +/- 10.27, N = 7125921.29118608.07137608.68127404.1688049.9042291.841. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.5
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c300600900120015001439.341167.531291.841333.53549.13407.26
MinAvgMaxEPYC 955421.087.5258.1EPYC 965426.1101.6285.1EPYC 9684X27.6106.5285.1EPYC 975418.595.5282.8Xeon Platinum 8490H58.8160.3338.0Ampere Altra Max 128c23.3103.8194.0OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor801602403204001. EPYC 9554: Approximate power consumption of 566 Joules per run.2. EPYC 9654: Approximate power consumption of 677 Joules per run.3. EPYC 9684X: Approximate power consumption of 689 Joules per run.4. EPYC 9754: Approximate power consumption of 743 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 1105 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 1038 Joules per run.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.CEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c40K80K120K160K200KSE +/- 359.87, N = 4SE +/- 250.78, N = 4SE +/- 1294.93, N = 6SE +/- 303.64, N = 4SE +/- 69.75, N = 3SE +/- 31.78, N = 3119472.30125373.87208538.32131257.1572703.3520218.431. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.5
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.CEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c2004006008001000586.74550.811032.65644.87244.61104.42
MinAvgMaxEPYC 955422.2203.6309.7EPYC 965426.4227.6323.4EPYC 9684X29.0201.9317.5EPYC 975418.3203.5315.1Xeon Platinum 8490H61.1297.2368.6Ampere Altra Max 128c23.2193.6212.3OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 3512 Joules per run.2. EPYC 9654: Approximate power consumption of 3813 Joules per run.3. EPYC 9684X: Approximate power consumption of 2491 Joules per run.4. EPYC 9754: Approximate power consumption of 3460 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 7530 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 15038 Joules per run.

miniFE

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

OpenBenchmarking.orgCG Mflops, More Is BetterminiFE 2.2Problem Size: SmallEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c11K22K33K44K55KSE +/- 51.65, N = 5SE +/- 45.75, N = 5SE +/- 507.76, N = 5SE +/- 105.96, N = 5SE +/- 14.30, N = 4SE +/- 5.88, N = 450351.450320.252937.650393.735452.524122.01. (CXX) g++ options: -O3 -fopenmp -lmpi_cxx -lmpi
OpenBenchmarking.orgCG Mflops Per Watt, More Is BetterminiFE 2.2Problem Size: SmallEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c90180270360450396.88340.61351.89416.05154.24248.68
MinAvgMaxEPYC 955421.9126.9255.2EPYC 965425.5147.7292.0EPYC 9684X28.7150.4291.8EPYC 975417.7121.1251.2Xeon Platinum 8490H60.0229.9376.4Ampere Altra Max 128c23.397.0166.1OpenBenchmarking.orgWatts, Fewer Is BetterminiFE 2.2CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 1751 Joules per run.2. EPYC 9654: Approximate power consumption of 2068 Joules per run.3. EPYC 9684X: Approximate power consumption of 2076 Joules per run.4. EPYC 9754: Approximate power consumption of 1793 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 3620 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 1964 Joules per run.

miniBUDE

MiniBUDE is a mini application for the the core computation of the Bristol University Docking Engine (BUDE). This test profile currently makes use of the OpenMP implementation of miniBUDE for CPU benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2EPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c13002600390052006500SE +/- 34.21, N = 3SE +/- 13.67, N = 3SE +/- 0.19, N = 3SE +/- 1.57, N = 3SE +/- 11.04, N = 3SE +/- 0.16, N = 33883.584400.504251.205892.342146.291353.37-march=native-march=native-march=native-march=native-march=native-mcpu=native1. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -lm

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2EPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c50100150200250SE +/- 1.37, N = 3SE +/- 0.55, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.44, N = 3SE +/- 0.01, N = 3155.34176.02170.05235.6985.8554.14-march=native-march=native-march=native-march=native-march=native-mcpu=native1. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -lm
OpenBenchmarking.orgBillion Interactions/s Per Watt, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2EPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c0.19670.39340.59010.78680.98350.5460.6190.6340.8740.2710.306
MinAvgMaxEPYC 955421.6284.4320.8EPYC 965427.0284.6328.3EPYC 9684X30.0268.1318.0EPYC 975418.3269.8323.2Xeon Platinum 8490H59.5316.4375.5Ampere Altra Max 128c23.6177.0186.4OpenBenchmarking.orgWatts, Fewer Is BetterminiBUDE 20210901CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 10523 Joules per run.2. EPYC 9654: Approximate power consumption of 9296 Joules per run.3. EPYC 9684X: Approximate power consumption of 9206 Joules per run.4. EPYC 9754: Approximate power consumption of 7015 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 20249 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 17584 Joules per run.

CloverLeaf

CloverLeaf is a Lagrangian-Eulerian hydrodynamics benchmark. This test profile currently makes use of CloverLeaf's OpenMP version. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm16EPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c120240360480600SE +/- 4.26, N = 7SE +/- 15.29, N = 9SE +/- 14.65, N = 9SE +/- 14.10, N = 9SE +/- 0.02, N = 3SE +/- 0.15, N = 3460.24429.46298.29459.16324.17550.301. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
OpenBenchmarking.orgWatts, Fewer Is BetterCloverLeaf 1.3CPU Power Consumption MonitorEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c70140210280350Min: 22.51 / Avg: 184.99 / Max: 244.7Min: 27.4 / Avg: 227.56 / Max: 288.41Min: 28.68 / Avg: 247.68 / Max: 306.65Min: 17.88 / Avg: 184.14 / Max: 237.7Min: 64.15 / Avg: 346.12 / Max: 376.87Min: 23.05 / Avg: 150.01 / Max: 164.121. EPYC 9554: Approximate power consumption of 85597 Joules per run.2. EPYC 9654: Approximate power consumption of 98257 Joules per run.3. EPYC 9684X: Approximate power consumption of 74607 Joules per run.4. EPYC 9754: Approximate power consumption of 85034 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 113183 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 83054 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm64_shortEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c1428425670SE +/- 1.40, N = 12SE +/- 1.47, N = 12SE +/- 1.39, N = 12SE +/- 1.50, N = 12SE +/- 0.00, N = 3SE +/- 0.02, N = 345.8247.9851.3149.0338.9362.771. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
MinAvgMaxEPYC 955421.8178.7248.8EPYC 965426.6214.7284.8EPYC 9684X28.7219.6291.4EPYC 975416.3174.2237.4Xeon Platinum 8490H69.2322.0369.9Ampere Altra Max 128c23.3144.4161.6OpenBenchmarking.orgWatts, Fewer Is BetterCloverLeaf 1.3CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 9101 Joules per run.2. EPYC 9654: Approximate power consumption of 11381 Joules per run.3. EPYC 9684X: Approximate power consumption of 12373 Joules per run.4. EPYC 9754: Approximate power consumption of 9437 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 14167 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 9869 Joules per run.

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 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c1020304050SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.53, N = 3SE +/- 0.01, N = 334.0130.2430.3225.1542.7131.791. (CXX) g++ options: -O2 -lOpenCL
MinAvgMaxEPYC 955421.9252.5321.0EPYC 965426.4247.8323.8EPYC 9684X30.6251.6321.7EPYC 975418.9226.2330.2Xeon Platinum 8490H67.6290.0377.5Ampere Altra Max 128c23.2133.1212.1OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 9510 Joules per run.2. EPYC 9654: Approximate power consumption of 8427 Joules per run.3. EPYC 9684X: Approximate power consumption of 8554 Joules per run.4. EPYC 9754: Approximate power consumption of 6635 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 13437 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 4790 Joules per run.

Algebraic Multi-Grid Benchmark

AMG is a parallel algebraic multigrid solver for linear systems arising from problems on unstructured grids. The driver provided with AMG builds linear systems for various 3-dimensional problems. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2EPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c500M1000M1500M2000M2500MSE +/- 3180941.37, N = 3SE +/- 5502047.33, N = 3SE +/- 1953221.73, N = 3SE +/- 2811300.43, N = 3SE +/- 269139.99, N = 3SE +/- 31942.66, N = 32321156000229673066723748533332291049667161182600010606560001. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi
OpenBenchmarking.orgFigure Of Merit Per Watt, More Is BetterAlgebraic Multi-Grid Benchmark 1.2EPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c3M6M9M12M15M12260061.499775985.2010140759.1211292392.935406835.947481610.11
MinAvgMaxEPYC 955422.2189.3270.8EPYC 965427.2234.9304.8EPYC 9684X30.8234.2299.7EPYC 975418.9202.9293.2Xeon Platinum 8490H68.7298.1368.7Ampere Altra Max 128c23.1141.8169.0OpenBenchmarking.orgWatts, Fewer Is BetterAlgebraic Multi-Grid Benchmark 1.2CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 4481 Joules per run.2. EPYC 9654: Approximate power consumption of 7988 Joules per run.3. EPYC 9684X: Approximate power consumption of 7884 Joules per run.4. EPYC 9754: Approximate power consumption of 9197 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 8248 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 10727 Joules per run.

libxsmm

Libxsmm is an open-source library for specialized dense and sparse matrix operations and deep learning primitives. Libxsmm supports making use of Intel AMX, AVX-512, and other modern CPU instruction set capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 128EPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c7001400210028003500SE +/- 3.26, N = 3SE +/- 1.99, N = 3SE +/- 10.12, N = 3SE +/- 8.00, N = 3SE +/- 2.52, N = 3SE +/- 0.84, N = 32400.42578.63102.42702.51764.6940.8-lquadmath -msse4.2-lquadmath -msse4.2-lquadmath -msse4.2-lquadmath -msse4.2-lquadmath -msse4.2-march=armv8.1-a1. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden
OpenBenchmarking.orgGFLOPS/s Per Watt, More Is Betterlibxsmm 2-1.17-3645M N K: 128EPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c4812162010.72910.64412.48415.5445.1107.630
OpenBenchmarking.orgWatts, Fewer Is Betterlibxsmm 2-1.17-3645CPU Power Consumption MonitorEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c70140210280350Min: 22.5 / Avg: 223.74 / Max: 337.83Min: 27.33 / Avg: 242.26 / Max: 342.05Min: 30.86 / Avg: 248.52 / Max: 342.62Min: 18.29 / Avg: 173.86 / Max: 325.53Min: 59.22 / Avg: 345.34 / Max: 378.6Min: 23.27 / Avg: 123.31 / Max: 209.471. EPYC 9554: Approximate power consumption of 104263 Joules per run.2. EPYC 9654: Approximate power consumption of 120242 Joules per run.3. EPYC 9684X: Approximate power consumption of 134863 Joules per run.4. EPYC 9754: Approximate power consumption of 90697 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 102335 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 60256 Joules per run.

OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 256EPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c7001400210028003500SE +/- 5.95, N = 3SE +/- 36.77, N = 3SE +/- 2.46, N = 3SE +/- 3.30, N = 3SE +/- 2.55, N = 3SE +/- 11.05, N = 32524.62858.83147.83343.51030.1917.2-lquadmath -msse4.2-lquadmath -msse4.2-lquadmath -msse4.2-lquadmath -msse4.2-lquadmath -msse4.2-march=armv8.1-a1. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden
OpenBenchmarking.orgGFLOPS/s Per Watt, More Is Betterlibxsmm 2-1.17-3645M N K: 256EPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c4812162010.39911.02612.20217.8123.0266.770
MinAvgMaxEPYC 955422.3242.8346.6EPYC 965425.9259.3357.9EPYC 9684X29.9258.0354.9EPYC 975418.7187.7336.6Xeon Platinum 8490H56.4340.4356.9Ampere Altra Max 128c23.3135.5211.9OpenBenchmarking.orgWatts, Fewer Is Betterlibxsmm 2-1.17-3645CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 37387 Joules per run.2. EPYC 9654: Approximate power consumption of 43557 Joules per run.3. EPYC 9684X: Approximate power consumption of 42393 Joules per run.4. EPYC 9754: Approximate power consumption of 34726 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 46187 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 37664 Joules per run.

NWChem

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

OpenBenchmarking.orgSeconds, Fewer Is BetterNWChem 7.0.2Input: C240 BuckyballEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c60012001800240030001452.11568.41641.61700.82056.62699.0-m64-m64-m64-m64-m641. (F9X) gfortran options: -lnwctask -lccsd -lmcscf -lselci -lmp2 -lmoints -lstepper -ldriver -loptim -lnwdft -lgradients -lcphf -lesp -lddscf -ldangchang -lguess -lhessian -lvib -lnwcutil -lrimp2 -lproperty -lsolvation -lnwints -lprepar -lnwmd -lnwpw -lofpw -lpaw -lpspw -lband -lnwpwlib -lcafe -lspace -lanalyze -lqhop -lpfft -ldplot -ldrdy -lvscf -lqmmm -lqmd -letrans -ltce -lbq -lmm -lcons -lperfm -ldntmc -lccca -ldimqm -lga -larmci -lpeigs -l64to32 -lopenblas -lpthread -lrt -llapack -lnwcblas -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz -lcomex -ffast-math -std=legacy -fdefault-integer-8 -finline-functions -O2
OpenBenchmarking.orgWatts, Fewer Is BetterNWChem 7.0.2CPU Power Consumption MonitorEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c70140210280350Min: 22.2 / Avg: 330.83 / Max: 345.41Min: 27.56 / Avg: 342.56 / Max: 352.74Min: 30.42 / Avg: 323.18 / Max: 332.59Min: 17.77 / Avg: 343.89 / Max: 353.98Min: 70.91 / Avg: 347.65 / Max: 373.16Min: 23.24 / Avg: 198.82 / Max: 228.12

Xcompact3d Incompact3d

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

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: X3D-benchmarking input.i3dEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c130260390520650SE +/- 7.98, N = 9SE +/- 8.73, N = 9SE +/- 5.21, N = 9SE +/- 14.11, N = 3SE +/- 4.12, N = 4SE +/- 0.07, N = 3515.79430.08440.55493.50353.56606.521. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption MonitorEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c60120180240300Min: 22.74 / Avg: 236.48 / Max: 261.22Min: 26.82 / Avg: 300.11 / Max: 330.92Min: 30.14 / Avg: 300.86 / Max: 318.85Min: 18.66 / Avg: 263.92 / Max: 306.42Min: 74.07 / Avg: 345.25 / Max: 357.57Min: 23.24 / Avg: 155.04 / Max: 166.821. EPYC 9554: Approximate power consumption of 123521 Joules per run.2. EPYC 9654: Approximate power consumption of 131250 Joules per run.3. EPYC 9684X: Approximate power consumption of 134718 Joules per run.4. EPYC 9754: Approximate power consumption of 147794 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 124895 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 96330 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per DirectionEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c612182430SE +/- 0.03040517, N = 5SE +/- 0.07670149, N = 5SE +/- 0.03937117, N = 5SE +/- 0.04030589, N = 5SE +/- 0.04713862, N = 4SE +/- 0.05179277, N = 39.745516218.452129367.308144199.0280616812.7983420023.885224001. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
MinAvgMaxEPYC 955422.7184.0283.3EPYC 965426.2215.2324.4EPYC 9684X30.4206.1315.3EPYC 975479.0214.8306.9Xeon Platinum 8490H65.3280.3374.7Ampere Altra Max 128c23.0129.8163.7OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 2686 Joules per run.2. EPYC 9654: Approximate power consumption of 2969 Joules per run.3. EPYC 9684X: Approximate power consumption of 2638 Joules per run.4. EPYC 9754: Approximate power consumption of 3308 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 5115 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 4112 Joules per run.

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 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c5K10K15K20K25KSE +/- 113.24, N = 3SE +/- 84.04, N = 3SE +/- 90.30, N = 3SE +/- 59.94, N = 3SE +/- 49.50, N = 5SE +/- 24.21, N = 324037.4423701.4424712.8822356.7523997.7216218.331. (CXX) g++ options: -O3 -fopenmp -lm -lmpi_cxx -lmpi
OpenBenchmarking.orgz/s Per Watt, More Is BetterLULESH 2.0.3EPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c306090120150148.93136.97139.86124.36106.69144.69
MinAvgMaxEPYC 955422.1161.4260.1EPYC 965427.5173.0275.8EPYC 9684X29.9176.7279.0EPYC 975479.9179.8295.1Xeon Platinum 8490H66.0224.9333.2Ampere Altra Max 128c23.4112.1165.3OpenBenchmarking.orgWatts, Fewer Is BetterLULESH 2.0.3CPU Power Consumption Monitor801602403204001. EPYC 9554: Approximate power consumption of 3874 Joules per run.2. EPYC 9654: Approximate power consumption of 4268 Joules per run.3. EPYC 9684X: Approximate power consumption of 4300 Joules per run.4. EPYC 9754: Approximate power consumption of 8509 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 2834 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 6613 Joules per run.

Xmrig

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

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.18.1Variant: Monero - Hash Count: 1MEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c15K30K45K60K75KSE +/- 42.25, N = 3SE +/- 142.78, N = 3SE +/- 80.10, N = 4SE +/- 2550.91, N = 12SE +/- 7.51, N = 3SE +/- 16.52, N = 347926.459047.769205.629356.127608.54322.1-maes-maes-maes-maes-maes1. (CXX) g++ options: -fexceptions -fno-rtti -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.18.1Variant: Monero - Hash Count: 1MEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c50100150200250166.56208.70245.11124.4086.3636.63
MinAvgMaxEPYC 955422.4287.7349.8EPYC 965426.6282.9358.5EPYC 9684X29.9281.5361.3EPYC 975478.8236.0328.4Xeon Platinum 8490H60.3319.7377.1Ampere Altra Max 128c23.2118.0132.8OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.18.1CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 7481 Joules per run.2. EPYC 9654: Approximate power consumption of 6224 Joules per run.3. EPYC 9684X: Approximate power consumption of 5488 Joules per run.4. EPYC 9754: Approximate power consumption of 9695 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 13213 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 28086 Joules per run.

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.18.1Variant: Wownero - Hash Count: 1MEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c17K34K51K68K85KSE +/- 18.19, N = 3SE +/- 60.06, N = 4SE +/- 35.19, N = 4SE +/- 604.78, N = 4SE +/- 13.06, N = 3SE +/- 4.67, N = 360032.475127.473567.377607.235870.21909.2-maes-maes-maes-maes-maes1. (CXX) g++ options: -fexceptions -fno-rtti -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.18.1Variant: Wownero - Hash Count: 1MEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c60120180240300212.04270.21265.76284.00114.3618.61
MinAvgMaxEPYC 955422.6283.1354.2EPYC 965426.9278.0364.8EPYC 9684X30.4276.8356.8EPYC 975479.7273.3350.0Xeon Platinum 8490H59.7313.7376.6Ampere Altra Max 128c23.6102.6112.6OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.18.1CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 6040 Joules per run.2. EPYC 9654: Approximate power consumption of 5074 Joules per run.3. EPYC 9684X: Approximate power consumption of 5052 Joules per run.4. EPYC 9754: Approximate power consumption of 4850 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 10142 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 54489 Joules per run.

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 2023.03.14Test: bcryptEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c40K80K120K160K200KSE +/- 33.83, N = 3SE +/- 69.15, N = 3SE +/- 0.67, N = 3SE +/- 152.02, N = 3SE +/- 30.49, N = 3SE +/- 271.90, N = 313803516685016611920482893877108753-m64-m64-m64-m64-m641. (CC) gcc options: -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2
OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 2023.03.14Test: bcryptEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c150300450600750526.01614.12606.08711.37301.12715.08
MinAvgMaxEPYC 955422.2262.4299.1EPYC 965426.7271.7308.3EPYC 9684X29.4274.1313.0EPYC 975478.7287.9323.4Xeon Platinum 8490H59.9311.8348.7Ampere Altra Max 128c23.6152.1177.4OpenBenchmarking.orgWatts, Fewer Is BetterJohn The Ripper 2023.03.14CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 9010 Joules per run.2. EPYC 9654: Approximate power consumption of 9237 Joules per run.3. EPYC 9684X: Approximate power consumption of 9410 Joules per run.4. EPYC 9754: Approximate power consumption of 9886 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 10704 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 5222 Joules per run.

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: WPA PSKEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c200K400K600K800K1000KSE +/- 23.00, N = 3SE +/- 64.33, N = 3SE +/- 68.67, N = 3SE +/- 2344.03, N = 3SE +/- 184.59, N = 3SE +/- 13.33, N = 3512773649345611601779799399141119863-m64-m64-m64-m64-m641. (CC) gcc options: -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2
OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 2023.03.14Test: WPA PSKEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c50010001500200025001683.292050.562055.662240.721319.84832.36
MinAvgMaxEPYC 955422.7304.6347.4EPYC 965427.4316.7362.0EPYC 9684X30.6297.5341.8EPYC 975479.8348.0391.3Xeon Platinum 8490H59.0302.4358.5Ampere Altra Max 128c23.2144.0169.5OpenBenchmarking.orgWatts, Fewer Is BetterJohn The Ripper 2023.03.14CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 10357 Joules per run.2. EPYC 9654: Approximate power consumption of 10872 Joules per run.3. EPYC 9684X: Approximate power consumption of 10116 Joules per run.4. EPYC 9754: Approximate power consumption of 11832 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 10383 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 4992 Joules per run.

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: BlowfishEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c40K80K120K160K200KSE +/- 11.89, N = 3SE +/- 18.68, N = 3SE +/- 18.85, N = 3SE +/- 493.13, N = 3SE +/- 10.67, N = 3SE +/- 275.70, N = 313803216688716608020467793913108827-m64-m64-m64-m64-m641. (CC) gcc options: -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2
OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 2023.03.14Test: BlowfishEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c160320480640800520.18615.51601.89699.30300.62720.26

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: MD5EPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c3M6M9M12M15MSE +/- 3179.80, N = 3SE +/- 3214.55, N = 3SE +/- 55480.73, N = 3SE +/- 835422.69, N = 15SE +/- 10493.38, N = 3SE +/- 3785.94, N = 31317933315763000147996671445666795773333143000-m64-m64-m64-m64-m641. (CC) gcc options: -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2
OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 2023.03.14Test: MD5EPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c11K22K33K44K55K42662.2251091.3949767.4452624.0428959.2818999.50
MinAvgMaxEPYC 955422.1308.9356.5EPYC 965427.1308.5358.3EPYC 9684X29.1297.4338.6EPYC 975478.5274.7358.3Xeon Platinum 8490H67.9330.7377.0Ampere Altra Max 128c24.3165.4181.9OpenBenchmarking.orgWatts, Fewer Is BetterJohn The Ripper 2023.03.14CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 19874 Joules per run.2. EPYC 9654: Approximate power consumption of 19848 Joules per run.3. EPYC 9684X: Approximate power consumption of 19131 Joules per run.4. EPYC 9754: Approximate power consumption of 17747 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 21166 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 10642 Joules per run.

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 1.3.38Operation: SharpenEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c30060090012001500SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 1.20, N = 36698097759246911274-lxml2-lxml2-lxml2-lxml2-lxml21. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lz -lzstd -lm -lpthread
OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.38Operation: SharpenEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c2468102.6913.1273.0423.7522.0818.016
MinAvgMaxEPYC 955422.6248.6266.2EPYC 965427.5258.7278.7EPYC 9684X30.7254.7271.9EPYC 975479.9246.3262.1Xeon Platinum 8490H61.6332.0369.6Ampere Altra Max 128c22.9158.9187.9OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.38CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 15911 Joules per run.2. EPYC 9654: Approximate power consumption of 16470 Joules per run.3. EPYC 9684X: Approximate power consumption of 16218 Joules per run.4. EPYC 9754: Approximate power consumption of 15679 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 21137 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 10225 Joules per run.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: EnhancedEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c30060090012001500SE +/- 0.88, N = 3SE +/- 0.88, N = 3SE +/- 1.67, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 2.73, N = 3114213191277145111241230-lxml2-lxml2-lxml2-lxml2-lxml21. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lz -lzstd -lm -lpthread
OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.38Operation: EnhancedEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c36912154.8715.3235.1936.3283.4059.833
MinAvgMaxEPYC 955422.3234.4249.4EPYC 965426.3247.8266.4EPYC 9684X28.5245.9263.7EPYC 975480.1229.3244.6Xeon Platinum 8490H57.6330.1364.4Ampere Altra Max 128c23.1125.1152.0OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.38CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 14926 Joules per run.2. EPYC 9654: Approximate power consumption of 15777 Joules per run.3. EPYC 9684X: Approximate power consumption of 15656 Joules per run.4. EPYC 9754: Approximate power consumption of 14599 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 21128 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 8005 Joules per run.

easyWave

The easyWave software allows simulating tsunami generation and propagation in the context of early warning systems. EasyWave supports making use of OpenMP for CPU multi-threading and there are also GPU ports available but not currently incorporated as part of this test profile. The easyWave tsunami generation software is run with one of the example/reference input files for measuring the CPU execution time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BettereasyWave r34Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200EPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c306090120150SE +/- 0.06, N = 3SE +/- 0.14, N = 3SE +/- 0.32, N = 3SE +/- 0.20, N = 15SE +/- 0.04, N = 3SE +/- 1.12, N = 322.4523.5124.5829.5945.85122.551. (CXX) g++ options: -O3 -fopenmp
MinAvgMaxEPYC 955420.9131.5161.8EPYC 965427.4155.2203.4EPYC 9684X29.6165.4209.2EPYC 975474.5136.9162.3Xeon Platinum 8490H59.4205.9240.1Ampere Altra Max 128c23.179.0104.0OpenBenchmarking.orgWatts, Fewer Is BettereasyWave r34CPU Power Consumption Monitor601201802403001. EPYC 9554: Approximate power consumption of 3681 Joules per run.2. EPYC 9654: Approximate power consumption of 4551 Joules per run.3. EPYC 9684X: Approximate power consumption of 5018 Joules per run.4. EPYC 9754: Approximate power consumption of 4856 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 10707 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 10299 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BettereasyWave r34Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400EPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c70140210280350SE +/- 0.33, N = 3SE +/- 0.40, N = 3SE +/- 0.14, N = 3SE +/- 0.45, N = 3SE +/- 0.36, N = 3SE +/- 1.24, N = 356.8859.5460.2572.36118.55326.371. (CXX) g++ options: -O3 -fopenmp
MinAvgMaxEPYC 955422.1141.7162.3EPYC 965426.8165.7196.4EPYC 9684X30.2175.5209.0EPYC 975478.3141.4159.5Xeon Platinum 8490H69.5217.9249.7Ampere Altra Max 128c22.782.6101.2OpenBenchmarking.orgWatts, Fewer Is BettereasyWave r34CPU Power Consumption Monitor601201802403001. EPYC 9554: Approximate power consumption of 8975 Joules per run.2. EPYC 9654: Approximate power consumption of 10881 Joules per run.3. EPYC 9684X: Approximate power consumption of 11758 Joules per run.4. EPYC 9754: Approximate power consumption of 11216 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 27159 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 27623 Joules per run.

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 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c1020304050SE +/- 0.28, N = 6SE +/- 0.18, N = 7SE +/- 0.12, N = 7SE +/- 0.13, N = 7SE +/- 0.13, N = 5SE +/- 0.09, N = 430.1739.2840.3243.6823.2618.111. (CC) gcc options: -O3 -march=native -fopenmp
OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c0.05020.10040.15060.20080.2510.1710.2200.2190.2230.0910.136
MinAvgMaxEPYC 955422.2176.8285.0EPYC 965422.4178.7303.4EPYC 9684X29.3183.7305.3EPYC 975478.6195.6328.6Xeon Platinum 8490H60.8257.0377.3Ampere Altra Max 128c22.2133.0187.3OpenBenchmarking.orgWatts, Fewer Is BetterACES DGEMM 1.0CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 2033 Joules per run.2. EPYC 9654: Approximate power consumption of 1787 Joules per run.3. EPYC 9684X: Approximate power consumption of 1811 Joules per run.4. EPYC 9754: Approximate power consumption of 1845 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 3598 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 2294 Joules per run.

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 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c1000K2000K3000K4000K5000KSE +/- 19980.87, N = 3SE +/- 9714.51, N = 3SE +/- 5924.03, N = 3SE +/- 25359.52, N = 3SE +/- 1523.22, N = 3SE +/- 1388.32, N = 33056532.143884296.773703841.724543138.122233945.612829772.921. (CC) gcc options: -O2 -lrt" -lrt
OpenBenchmarking.orgIterations/Sec Per Watt, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c6K12K18K24K30K10800.4013250.6413223.6716505.777546.9728735.35
MinAvgMaxEPYC 955422.4283.0328.6EPYC 965427.6293.1351.9EPYC 9684X31.6280.1326.7EPYC 975480.6275.2351.7Xeon Platinum 8490H59.9296.0342.1Ampere Altra Max 128c22.998.5158.5OpenBenchmarking.orgWatts, Fewer Is BetterCoremark 1.0CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 16225 Joules per run.2. EPYC 9654: Approximate power consumption of 13680 Joules per run.3. EPYC 9684X: Approximate power consumption of 13725 Joules per run.4. EPYC 9754: Approximate power consumption of 11469 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 14998 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 2232 Joules per run.

7-Zip Compression

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

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c130K260K390K520K650KSE +/- 224.17, N = 3SE +/- 311.94, N = 3SE +/- 366.95, N = 3SE +/- 439.85, N = 3SE +/- 629.56, N = 3SE +/- 1588.70, N = 34897365649505544115865713896903283781. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c170K340K510K680K850KSE +/- 599.23, N = 3SE +/- 609.70, N = 3SE +/- 3771.78, N = 3SE +/- 957.95, N = 3SE +/- 128.86, N = 3SE +/- 159.75, N = 35215696486306234897741222999025414641. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
OpenBenchmarking.orgMIPS Per Watt, More Is Better7-Zip Compression 22.01Test: Decompression RatingEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c90018002700360045002097.032469.212440.923099.00963.494112.43
MinAvgMaxEPYC 955422.3248.7340.0EPYC 965426.9262.7348.0EPYC 9684X30.2255.4337.1EPYC 975480.2249.8342.7Xeon Platinum 8490H72.6311.3376.8Ampere Altra Max 128c23.1131.7179.9OpenBenchmarking.orgWatts, Fewer Is Better7-Zip Compression 22.01CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 8042 Joules per run.2. EPYC 9654: Approximate power consumption of 10245 Joules per run.3. EPYC 9684X: Approximate power consumption of 10217 Joules per run.4. EPYC 9754: Approximate power consumption of 11491 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 13799 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 4959 Joules per run.

Stockfish

This is a test of Stockfish, an advanced open-source C++11 chess benchmark that can scale up to 512 CPU threads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 15Total TimeEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c80M160M240M320M400MSE +/- 3637655.15, N = 15SE +/- 2088420.80, N = 3SE +/- 5369723.06, N = 15SE +/- 5395369.85, N = 15SE +/- 3106997.57, N = 15SE +/- 6034511.59, N = 15241774328289066909281982711363329642153469265188202063-m64 -msse -msse3 -mpopcnt -mavx2 -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -msse4.1 -mssse3 -msse2 -mbmi2-m64 -msse -msse3 -mpopcnt -mavx2 -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -msse4.1 -mssse3 -msse2 -mbmi2-m64 -msse -msse3 -mpopcnt -mavx2 -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -msse4.1 -mssse3 -msse2 -mbmi2-m64 -msse -msse3 -mpopcnt -mavx2 -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -msse4.1 -mssse3 -msse2 -mbmi2-m64 -msse -msse3 -mpopcnt -mavx2 -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -msse4.1 -mssse3 -msse2 -mbmi21. (CXX) g++ options: -lgcov -lpthread -fno-exceptions -std=c++17 -fno-peel-loops -fno-tracer -pedantic -O3 -flto -flto=jobserver
OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterStockfish 15Total TimeEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c200K400K600K800K1000K758877.46902959.90902665.891127366.71458790.97881194.94
MinAvgMaxEPYC 955422.7318.6349.2EPYC 965426.6320.1357.3EPYC 9684X31.0312.4349.6EPYC 975480.5322.3354.0Xeon Platinum 8490H57.2334.5377.1Ampere Altra Max 128c23.1213.6244.8OpenBenchmarking.orgWatts, Fewer Is BetterStockfish 15CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 19880 Joules per run.2. EPYC 9654: Approximate power consumption of 19208 Joules per run.3. EPYC 9684X: Approximate power consumption of 23367 Joules per run.4. EPYC 9754: Approximate power consumption of 23849 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 29281 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 16887 Joules per run.

asmFish

This is a test of asmFish, an advanced chess benchmark written in Assembly. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c60M120M180M240M300MSE +/- 662770.52, N = 3SE +/- 612439.42, N = 3SE +/- 906405.74, N = 3SE +/- 2513657.44, N = 3SE +/- 819760.48, N = 3SE +/- 691803.98, N = 3210167054250209020233926631290260505130818594212432479
OpenBenchmarking.orgNodes/second Per Watt, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c300K600K900K1200K1500K670647.64776992.64756672.13920803.01383452.521179451.42
MinAvgMaxEPYC 955422.3313.4340.0EPYC 965426.7322.0347.3EPYC 9684X29.8309.2329.2EPYC 975481.5315.2339.8Xeon Platinum 8490H66.0341.2375.8Ampere Altra Max 128c24.0180.1193.8OpenBenchmarking.orgWatts, Fewer Is BetterasmFish 2018-07-23CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 30711 Joules per run.2. EPYC 9654: Approximate power consumption of 40145 Joules per run.3. EPYC 9684X: Approximate power consumption of 38953 Joules per run.4. EPYC 9754: Approximate power consumption of 41189 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 51515 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 18131 Joules per run.

Timed Godot Game Engine Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 4.0Time To CompileEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c50100150200250SE +/- 0.03, N = 3SE +/- 0.16, N = 3SE +/- 0.06, N = 3SE +/- 0.26, N = 3SE +/- 0.43, N = 3SE +/- 0.35, N = 3103.50101.5698.56118.25128.47227.78
MinAvgMaxEPYC 955422.0178.6328.9EPYC 965426.9181.4340.6EPYC 9684X27.3188.9334.5EPYC 975477.1156.8333.8Xeon Platinum 8490H66.8258.4373.6Ampere Altra Max 128c24.494.2182.8OpenBenchmarking.orgWatts, Fewer Is BetterTimed Godot Game Engine Compilation 4.0CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 19464 Joules per run.2. EPYC 9654: Approximate power consumption of 19466 Joules per run.3. EPYC 9684X: Approximate power consumption of 19643 Joules per run.4. EPYC 9754: Approximate power consumption of 19446 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 34533 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 22010 Joules per run.

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfigEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c20406080100SE +/- 0.39, N = 4SE +/- 0.46, N = 4SE +/- 0.45, N = 4SE +/- 0.44, N = 5SE +/- 0.49, N = 3SE +/- 0.79, N = 333.5236.6036.5941.5535.6078.55
MinAvgMaxEPYC 955421.9157.4318.6EPYC 965426.9174.6309.7EPYC 9684X29.5177.0299.5EPYC 975477.7152.5294.4Xeon Platinum 8490H67.9230.6376.5Ampere Altra Max 128c22.2124.2181.6OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 6.1CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 6767 Joules per run.2. EPYC 9654: Approximate power consumption of 8033 Joules per run.3. EPYC 9684X: Approximate power consumption of 8186 Joules per run.4. EPYC 9754: Approximate power consumption of 7871 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 10529 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 11343 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfigEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c70140210280350SE +/- 0.61, N = 3SE +/- 0.41, N = 3SE +/- 0.50, N = 3SE +/- 2.48, N = 3SE +/- 0.60, N = 3SE +/- 0.75, N = 3238.29284.25283.87319.43289.97307.88
MinAvgMaxEPYC 955422.0274.1333.2EPYC 965426.6273.0321.3EPYC 9684X30.3269.2315.7EPYC 975478.2237.2310.5Xeon Platinum 8490H64.6324.4376.4Ampere Altra Max 128c23.2159.6190.9OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 6.1CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 68798 Joules per run.2. EPYC 9654: Approximate power consumption of 81170 Joules per run.3. EPYC 9684X: Approximate power consumption of 79954 Joules per run.4. EPYC 9754: Approximate power consumption of 79235 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 97739 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 51561 Joules per run.

Timed LLVM Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: NinjaEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c60120180240300SE +/- 0.11, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.28, N = 3SE +/- 0.08, N = 3SE +/- 0.95, N = 3131.20133.07131.99146.39169.53266.54
MinAvgMaxEPYC 955422.7235.5327.1EPYC 965427.1238.4333.5EPYC 9684X30.6239.8329.2EPYC 975478.8217.7330.7Xeon Platinum 8490H70.7300.4377.1Ampere Altra Max 128c22.9118.4179.2OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 16.0CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 34930 Joules per run.2. EPYC 9654: Approximate power consumption of 35758 Joules per run.3. EPYC 9684X: Approximate power consumption of 35736 Joules per run.4. EPYC 9754: Approximate power consumption of 36133 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 55477 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 33897 Joules per run.

Timed Node.js Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 19.8.1Time To CompileEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c60120180240300SE +/- 0.32, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.27, N = 3SE +/- 0.19, N = 3121.93120.16119.20130.46151.57268.70
MinAvgMaxEPYC 955422.4215.2336.3EPYC 965427.1221.5344.1EPYC 9684X30.8224.1336.0EPYC 975478.6196.8336.6Xeon Platinum 8490H67.8290.0376.5Ampere Altra Max 128c22.0119.2178.8OpenBenchmarking.orgWatts, Fewer Is BetterTimed Node.js Compilation 19.8.1CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 27910 Joules per run.2. EPYC 9654: Approximate power consumption of 28350 Joules per run.3. EPYC 9684X: Approximate power consumption of 28536 Joules per run.4. EPYC 9754: Approximate power consumption of 27358 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 46211 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 33142 Joules per run.

Primesieve

Primesieve generates prime numbers using a highly optimized sieve of Eratosthenes implementation. Primesieve primarily benchmarks the CPU's L1/L2 cache performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 8.0Length: 1e13EPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c1224364860SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 328.1424.1625.9721.7652.3841.681. (CXX) g++ options: -O3
MinAvgMaxEPYC 955422.6314.6361.0EPYC 965426.5308.6365.8EPYC 9684X30.5292.2343.3EPYC 975479.3277.7324.5Xeon Platinum 8490H68.3329.4376.7Ampere Altra Max 128c22.7188.3222.8OpenBenchmarking.orgWatts, Fewer Is BetterPrimesieve 8.0CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 10069 Joules per run.2. EPYC 9654: Approximate power consumption of 8640 Joules per run.3. EPYC 9684X: Approximate power consumption of 8766 Joules per run.4. EPYC 9754: Approximate power consumption of 7128 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 18557 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 8599 Joules per run.

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 Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c30060090012001500SE +/- 1.48, N = 3SE +/- 1.59, N = 3SE +/- 1.80, N = 3SE +/- 7.65, N = 3SE +/- 2.14, N = 3SE +/- 0.92, N = 3470.73665.04684.121037.89447.511452.30-msse4.1 - MIN: 463.75-msse4.1 - MIN: 652.56-msse4.1 - MIN: 673.03-msse4.1 - MIN: 940.85-msse4.1 - MIN: 436.63-mcpu=native - MIN: 1432.141. (CXX) g++ options: -O3 -march=native -fopenmp -fPIC -pie -ldl -lpthread
MinAvgMaxEPYC 955421.9196.8302.2EPYC 965426.9218.4300.7EPYC 9684X28.0222.9296.2EPYC 975478.2173.4291.3Xeon Platinum 8490H75.5295.1375.2Ampere Altra Max 128c24.3178.6236.6OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.3CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 16527 Joules per run.2. EPYC 9654: Approximate power consumption of 18416 Joules per run.3. EPYC 9684X: Approximate power consumption of 18800 Joules per run.4. EPYC 9754: Approximate power consumption of 14968 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 24493 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 15482 Joules per run.

Helsing

Helsing is an open-source POSIX vampire number generator. This test profile measures the time it takes to generate vampire numbers between varying numbers of digits. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterHelsing 1.0-betaDigit Range: 14 digitEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c20406080100SE +/- 0.12, N = 3SE +/- 0.32, N = 3SE +/- 0.27, N = 3SE +/- 0.21, N = 3SE +/- 0.43, N = 3SE +/- 0.07, N = 371.2761.5364.3548.9586.7656.901. (CC) gcc options: -O2 -pthread
MinAvgMaxEPYC 955423.0315.2344.4EPYC 965427.7315.0343.8EPYC 9684X31.4303.2329.7EPYC 975480.1308.7344.3Xeon Platinum 8490H68.9335.6377.4Ampere Altra Max 128c23.2221.4246.2OpenBenchmarking.orgWatts, Fewer Is BetterHelsing 1.0-betaCPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 23641 Joules per run.2. EPYC 9654: Approximate power consumption of 20475 Joules per run.3. EPYC 9684X: Approximate power consumption of 20615 Joules per run.4. EPYC 9754: Approximate power consumption of 16260 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 30542 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 13433 Joules per run.

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA256EPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c40000M80000M120000M160000M200000MSE +/- 58524233.88, N = 3SE +/- 45500182.34, N = 3SE +/- 33747498.40, N = 3SE +/- 83429444.82, N = 3SE +/- 52301160.39, N = 3SE +/- 29832593.30, N = 310753451759713035542227312459651775716532681505762987799233101167218107-m64-m64-m64-m64-m64 -lssl -lcrypto-lssl -lcrypto1. (CC) gcc options: -pthread -O3 -ldl
OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: SHA256EPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c120M240M360M480M600M343065816.53403401627.27400002059.84496163836.00192641019.65574282029.46
MinAvgMaxEPYC 955422.7313.5355.1EPYC 965427.3323.1359.7EPYC 9684X30.3311.5335.3EPYC 975479.9333.2352.6Xeon Platinum 8490H63.0327.0376.9Ampere Altra Max 128c21.4176.2210.5OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 57362 Joules per run.2. EPYC 9654: Approximate power consumption of 59135 Joules per run.3. EPYC 9684X: Approximate power consumption of 57003 Joules per run.4. EPYC 9754: Approximate power consumption of 60977 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 60053 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 32414 Joules per run.

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA512EPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c11000M22000M33000M44000M55000MSE +/- 4732001.41, N = 3SE +/- 16069151.20, N = 3SE +/- 6401405.16, N = 3SE +/- 1530571.35, N = 3SE +/- 147259946.50, N = 3SE +/- 36142057.88, N = 3336220285304045932361040105639580536480782032244582044734434960797-m64-m64-m64-m64-m64 -lssl -lcrypto-lssl -lcrypto1. (CC) gcc options: -pthread -O3 -ldl
OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: SHA512EPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c40M80M120M160M200M112644110.72133650046.77131019550.91160226634.8665707856.51192898458.48
MinAvgMaxEPYC 955423.0298.5327.7EPYC 965428.0302.7332.5EPYC 9684X31.4306.1329.5EPYC 975481.3334.8349.1Xeon Platinum 8490H58.7341.6377.3Ampere Altra Max 128c23.0178.5195.4OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 54622 Joules per run.2. EPYC 9654: Approximate power consumption of 55399 Joules per run.3. EPYC 9684X: Approximate power consumption of 56119 Joules per run.4. EPYC 9754: Approximate power consumption of 61385 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 62854 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 32846 Joules per run.

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20EPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c140000M280000M420000M560000M700000MSE +/- 10027126.50, N = 3SE +/- 31096600.10, N = 3SE +/- 12204219.35, N = 3SE +/- 75341939.23, N = 3SE +/- 249978665.97, N = 3SE +/- 5187436.26, N = 3403275660767510715410203494325321817657652605747309810110827161776370300-m64-m64-m64-m64-m64 -lssl -lcrypto1. (CC) gcc options: -pthread -O3 -ldl
OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: ChaCha20EPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c400M800M1200M1600M2000M1260085671.451550153775.141518907337.021795931120.23956989711.80851511981.27
MinAvgMaxEPYC 955422.7320.0353.5EPYC 965427.6329.5356.9EPYC 9684X31.4325.4345.4EPYC 975480.8366.2393.9Xeon Platinum 8490H67.5323.7377.1Ampere Altra Max 128c23.3190.0213.6OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor1102203304405501. EPYC 9554: Approximate power consumption of 58567 Joules per run.2. EPYC 9654: Approximate power consumption of 60401 Joules per run.3. EPYC 9684X: Approximate power consumption of 59557 Joules per run.4. EPYC 9754: Approximate power consumption of 67013 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 59567 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 34958 Joules per run.

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-128-GCMEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c300000M600000M900000M1200000M1500000MSE +/- 4139145729.67, N = 3SE +/- 1300559723.82, N = 3SE +/- 516635412.32, N = 3SE +/- 819456410.65, N = 3SE +/- 62680847.75, N = 3SE +/- 3971607.26, N = 37536518157639104169317738967501347971174244639723768644121760382850274100-m64-m64-m64-m64-m64 -lssl -lcrypto-lssl -lcrypto1. (CC) gcc options: -pthread -O3 -ldl
OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: AES-128-GCMEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c700M1400M2100M2800M3500M2306380943.302749579371.212715462059.953375536723.272365142947.731810172827.55
MinAvgMaxEPYC 955422.0326.8348.1EPYC 965428.0331.1355.1EPYC 9684X31.2330.2346.4EPYC 975481.8347.9363.2Xeon Platinum 8490H68.0325.0377.3Ampere Altra Max 128c22.9211.5233.8OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 59799 Joules per run.2. EPYC 9654: Approximate power consumption of 60593 Joules per run.3. EPYC 9684X: Approximate power consumption of 60434 Joules per run.4. EPYC 9754: Approximate power consumption of 63660 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 59798 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 38916 Joules per run.

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-256-GCMEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c200000M400000M600000M800000M1000000MSE +/- 173027468.80, N = 3SE +/- 362414618.81, N = 3SE +/- 1296172747.45, N = 3SE +/- 999773830.17, N = 3SE +/- 1678798033.18, N = 3SE +/- 71755303.93, N = 36493858378177810247405137697782883201009634449730649241962540306492220210-m64-m64-m64-m64-m64 -lssl -lcrypto-lssl -lcrypto1. (CC) gcc options: -pthread -O3 -ldl
OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: AES-256-GCMEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c600M1200M1800M2400M3000M2014092746.632394262507.272351979989.352923318824.061939199848.821491776544.17
MinAvgMaxEPYC 955423.0322.4344.8EPYC 965428.0326.2348.9EPYC 9684X28.2327.3344.3EPYC 975481.2345.4361.1Xeon Platinum 8490H73.4334.8376.8Ampere Altra Max 128c22.8205.5232.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 59003 Joules per run.2. EPYC 9654: Approximate power consumption of 59696 Joules per run.3. EPYC 9684X: Approximate power consumption of 59894 Joules per run.4. EPYC 9754: Approximate power consumption of 63203 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 61491 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 37804 Joules per run.

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20-Poly1305EPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c100000M200000M300000M400000M500000MSE +/- 5365828.17, N = 3SE +/- 174121043.89, N = 3SE +/- 183485436.83, N = 3SE +/- 165042020.15, N = 3SE +/- 242044451.24, N = 3SE +/- 1451328.25, N = 3287552025123356731270590345798034863461374746590223216584750112260532813-m64-m64-m64-m64-m64 -lssl -lcrypto1. (CC) gcc options: -pthread -O3 -ldl
OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: ChaCha20-Poly1305EPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c300M600M900M1200M1500M915099689.881089518475.951068328648.361276157031.33657459512.26617930879.77
MinAvgMaxEPYC 955423.0314.2350.5EPYC 965427.9327.4352.7EPYC 9684X29.8323.7342.0EPYC 975481.1361.5380.6Xeon Platinum 8490H75.0339.5352.9Ampere Altra Max 128c23.7181.7199.4OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 57609 Joules per run.2. EPYC 9654: Approximate power consumption of 59918 Joules per run.3. EPYC 9684X: Approximate power consumption of 59342 Joules per run.4. EPYC 9754: Approximate power consumption of 66161 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 62357 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 33428 Joules per run.

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 128 - Buffer Length: 256 - Filter Length: 512EPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c300M600M900M1200M1500MSE +/- 1233333.33, N = 3SE +/- 556776.44, N = 3SE +/- 2458319.21, N = 3SE +/- 1026861.45, N = 3SE +/- 1999408.25, N = 3SE +/- 16666.67, N = 311452333331172100000114230000013845333339059800003660466671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 1.6Threads: 128 - Buffer Length: 256 - Filter Length: 512EPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c1.1M2.2M3.3M4.4M5.5M4256153.304496781.754519511.455240555.272858526.502009607.20
MinAvgMaxEPYC 955422.6269.1306.3EPYC 965427.0260.7297.0EPYC 9684X30.9252.7286.4EPYC 975478.9264.2293.6Xeon Platinum 8490H71.8316.9376.1Ampere Altra Max 128c23.0182.1216.6OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 9238 Joules per run.2. EPYC 9654: Approximate power consumption of 9036 Joules per run.3. EPYC 9684X: Approximate power consumption of 8762 Joules per run.4. EPYC 9754: Approximate power consumption of 9071 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 10882 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 6314 Joules per run.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 240 - Buffer Length: 256 - Filter Length: 512EPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c400M800M1200M1600M2000MSE +/- 723417.81, N = 3SE +/- 1044030.65, N = 3SE +/- 2195702.87, N = 3SE +/- 3752776.75, N = 3SE +/- 1311911.24, N = 3SE +/- 115518.16, N = 3117600000014002000001338166667171470000010137666673711233331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 1.6Threads: 240 - Buffer Length: 256 - Filter Length: 512EPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c1.4M2.8M4.2M5.6M7M4404001.145116900.215019125.786362747.943222808.582036261.91
MinAvgMaxEPYC 955420.0267.0306.7EPYC 965426.9273.6312.6EPYC 9684X30.4266.6306.2EPYC 975480.2269.5303.1Xeon Platinum 8490H67.4314.6377.3Ampere Altra Max 128c22.9182.3217.3OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 9257 Joules per run.2. EPYC 9654: Approximate power consumption of 9395 Joules per run.3. EPYC 9684X: Approximate power consumption of 9154 Joules per run.4. EPYC 9754: Approximate power consumption of 9342 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 11010 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 6440 Joules per run.

ClickHouse

ClickHouse is an open-source, high performance OLAP data management system. This test profile uses ClickHouse's standard benchmark recommendations per https://clickhouse.com/docs/en/operations/performance-test/ / https://github.com/ClickHouse/ClickBench/tree/main/clickhouse with the 100 million rows web analytics dataset. The reported value is the query processing time using the geometric mean of all separate queries performed as an aggregate. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, First Run / Cold CacheEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c120240360480600SE +/- 3.20, N = 3SE +/- 2.48, N = 3SE +/- 0.68, N = 3SE +/- 2.30, N = 3SE +/- 5.21, N = 3SE +/- 2.89, N = 3535.55531.52534.25425.51461.90250.30MIN: 50.63 / MAX: 6000MIN: 56.87 / MAX: 6666.67MIN: 54.1 / MAX: 4285.71MIN: 48.54 / MAX: 3333.33MIN: 40.49 / MAX: 5454.55MIN: 31.02 / MAX: 3000

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Second RunEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c120240360480600SE +/- 2.76, N = 3SE +/- 1.65, N = 3SE +/- 5.05, N = 3SE +/- 0.34, N = 3SE +/- 4.34, N = 3SE +/- 1.12, N = 3546.67551.97546.14431.65485.91253.53MIN: 51.24 / MAX: 3529.41MIN: 57.47 / MAX: 4285.71MIN: 55.87 / MAX: 5000MIN: 59.06 / MAX: 3157.89MIN: 40.11 / MAX: 5000MIN: 29.51 / MAX: 3157.89

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Third RunEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c120240360480600SE +/- 0.48, N = 3SE +/- 4.91, N = 3SE +/- 8.88, N = 3SE +/- 1.09, N = 3SE +/- 3.94, N = 3SE +/- 1.09, N = 3571.53554.30558.78445.46487.01253.26MIN: 51.5 / MAX: 5454.55MIN: 57.47 / MAX: 5454.55MIN: 56.02 / MAX: 5454.55MIN: 63.69 / MAX: 3750MIN: 40.6 / MAX: 5454.55MIN: 27.19 / MAX: 2608.7
OpenBenchmarking.orgQueries Per Minute, Geo Mean Per Watt, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Third RunEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c1.08952.1793.26854.3585.44754.8424.0573.8063.9852.2593.880
MinAvgMaxEPYC 955420.7118.0308.6EPYC 965426.5136.6303.6EPYC 9684X29.7146.8290.3EPYC 975452.3111.8267.4Xeon Platinum 8490H72.4215.6362.5Ampere Altra Max 128c23.665.3177.9OpenBenchmarking.orgWatts, Fewer Is BetterClickHouse 22.12.3.5CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 21640 Joules per run.2. EPYC 9654: Approximate power consumption of 25593 Joules per run.3. EPYC 9684X: Approximate power consumption of 28192 Joules per run.4. EPYC 9754: Approximate power consumption of 24816 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 42477 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 19536 Joules per run.

Memcached

Memcached is a high performance, distributed memory object caching system. This Memcached test profiles makes use of memtier_benchmark for excuting this CPU/memory-focused server benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:10EPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c1.3M2.6M3.9M5.2M6.5MSE +/- 9013.12, N = 3SE +/- 18970.20, N = 3SE +/- 23729.89, N = 3SE +/- 45827.84, N = 3SE +/- 14044.68, N = 3SE +/- 40896.93, N = 36291456.536136092.715928614.585552637.524667128.015131209.291. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec Per Watt, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:10EPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c8K16K24K32K40K28816.4123779.1123392.7425301.5915738.4539275.85
MinAvgMaxEPYC 955421.8218.3253.3EPYC 965426.4258.0300.7EPYC 9684X29.2253.4295.1EPYC 975478.2219.5245.8Xeon Platinum 8490H63.8296.5336.2Ampere Altra Max 128c22.8130.6161.3OpenBenchmarking.orgWatts, Fewer Is BetterMemcached 1.6.19CPU Power Consumption Monitor801602403204001. EPYC 9554: Approximate power consumption of 15210 Joules per run.2. EPYC 9654: Approximate power consumption of 18063 Joules per run.3. EPYC 9684X: Approximate power consumption of 17741 Joules per run.4. EPYC 9754: Approximate power consumption of 15435 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 20659 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 9189 Joules per run.

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:100EPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c2M4M6M8M10MSE +/- 10341.18, N = 3SE +/- 8234.52, N = 3SE +/- 52827.93, N = 3SE +/- 18045.69, N = 3SE +/- 48574.04, N = 15SE +/- 59438.15, N = 48108606.408412361.967930429.137669596.614380269.264860402.431. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec Per Watt, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:100EPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c8K16K24K32K40K34842.9231458.4830639.6933199.6515039.4135807.81
MinAvgMaxEPYC 955422.4232.7271.8EPYC 965427.5267.4310.6EPYC 9684X29.5258.8301.6EPYC 975478.5231.0259.6Xeon Platinum 8490H56.7291.3336.5Ampere Altra Max 128c23.1135.7162.9OpenBenchmarking.orgWatts, Fewer Is BetterMemcached 1.6.19CPU Power Consumption Monitor801602403204001. EPYC 9554: Approximate power consumption of 16290 Joules per run.2. EPYC 9654: Approximate power consumption of 18630 Joules per run.3. EPYC 9684X: Approximate power consumption of 18118 Joules per run.4. EPYC 9754: Approximate power consumption of 16094 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 20368 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 9637 Joules per run.

ASKAP

ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - GriddingEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c3K6K9K12K15KSE +/- 9.54, N = 3SE +/- 32.54, N = 3SE +/- 240.55, N = 12SE +/- 9.06, N = 3SE +/- 4.50, N = 3SE +/- 0.36, N = 310327.5012332.4014731.5012660.808112.074295.721. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - DegriddingEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c12K24K36K48K60KSE +/- 153.57, N = 3SE +/- 475.58, N = 3SE +/- 0.00, N = 3SE +/- 574.27, N = 15SE +/- 131.23, N = 3SE +/- 4.44, N = 331177.2041081.6058310.1026593.4019616.005285.361. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c15K30K45K60K75KSE +/- 219.20, N = 3SE +/- 405.08, N = 3SE +/- 485.47, N = 3SE +/- 655.18, N = 14SE +/- 146.74, N = 3SE +/- 0.46, N = 337265.9047003.2067965.5027269.2022365.202416.541. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
OpenBenchmarking.orgMpix/sec Per Watt, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c60120180240300191.48196.62275.76129.8971.0417.51
MinAvgMaxEPYC 955422.3194.6312.3EPYC 965427.1239.1335.0EPYC 9684X30.8246.5320.3EPYC 975458.7209.9325.3Xeon Platinum 8490H63.7314.8359.0Ampere Altra Max 128c26.0138.0160.5OpenBenchmarking.orgWatts, Fewer Is BetterASKAP 1.0CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 6812 Joules per run.2. EPYC 9654: Approximate power consumption of 10439 Joules per run.3. EPYC 9684X: Approximate power consumption of 9119 Joules per run.4. EPYC 9754: Approximate power consumption of 17920 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 13433 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 31657 Joules per run.

Graph500

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

OpenBenchmarking.orgbfs median_TEPS, More Is BetterGraph500 3.0Scale: 26EPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c200M400M600M800M1000M836159000816172000854029000114709000010738600009804630001. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi

OpenBenchmarking.orgbfs max_TEPS, More Is BetterGraph500 3.0Scale: 26EPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c300M600M900M1200M1500M865152000839917000882181000118451000011131200009877700001. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi

OpenBenchmarking.orgsssp median_TEPS, More Is BetterGraph500 3.0Scale: 26EPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c80M160M240M320M400M3680160003911670003837540003770330003331290002240320001. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi

OpenBenchmarking.orgsssp max_TEPS, More Is BetterGraph500 3.0Scale: 26EPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c110M220M330M440M550M4674530004993470005012220005021510004544830003332390001. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi
OpenBenchmarking.orgsssp max_TEPS Per Watt, More Is BetterGraph500 3.0Scale: 26EPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c400K800K1200K1600K2000K1818554.401644954.691663398.871711121.291312538.581918278.63
MinAvgMaxEPYC 955422.0257.0304.3EPYC 965426.9303.6343.1EPYC 9684X30.2301.3330.2EPYC 975478.3293.5340.1Xeon Platinum 8490H65.7346.3357.7Ampere Altra Max 128c22.0173.7182.3OpenBenchmarking.orgWatts, Fewer Is BetterGraph500 3.0CPU Power Consumption Monitor100200300400500

DuckDB

DuckDB is an in-progress SQL OLAP database management system optimized for analytics and features a vectorized and parallel engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDuckDB 0.9.1Benchmark: IMDBEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c306090120150SE +/- 0.16, N = 3SE +/- 0.18, N = 3SE +/- 0.26, N = 3SE +/- 0.08, N = 3SE +/- 0.24, N = 3SE +/- 0.18, N = 3103.72115.81116.05147.6099.25143.781. (CXX) g++ options: -O3 -rdynamic -lssl -lcrypto -ldl
MinAvgMaxEPYC 955422.3112.3170.3EPYC 965427.0130.4182.9EPYC 9684X30.2142.7184.7EPYC 975476.8103.9150.1Xeon Platinum 8490H55.4205.3262.2Ampere Altra Max 128c21.253.596.6OpenBenchmarking.orgWatts, Fewer Is BetterDuckDB 0.9.1CPU Power Consumption Monitor701402102803501. EPYC 9554: Approximate power consumption of 16094 Joules per run.2. EPYC 9654: Approximate power consumption of 20739 Joules per run.3. EPYC 9684X: Approximate power consumption of 22784 Joules per run.4. EPYC 9754: Approximate power consumption of 20946 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 28264 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 12280 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterDuckDB 0.9.1Benchmark: TPC-H ParquetEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c50100150200250SE +/- 0.53, N = 3SE +/- 0.47, N = 3SE +/- 0.26, N = 3SE +/- 0.64, N = 3SE +/- 0.30, N = 3SE +/- 4.97, N = 9143.31146.28147.49177.13148.10237.161. (CXX) g++ options: -O3 -rdynamic -lssl -lcrypto -ldl
MinAvgMaxEPYC 955422.086.8156.8EPYC 965426.6104.5171.8EPYC 9684X28.7115.5185.4EPYC 975476.286.8128.8Xeon Platinum 8490H60.5169.9268.1Ampere Altra Max 128c23.041.767.9OpenBenchmarking.orgWatts, Fewer Is BetterDuckDB 0.9.1CPU Power Consumption Monitor701402102803501. EPYC 9554: Approximate power consumption of 17015 Joules per run.2. EPYC 9654: Approximate power consumption of 20823 Joules per run.3. EPYC 9684X: Approximate power consumption of 23299 Joules per run.4. EPYC 9754: Approximate power consumption of 20895 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 34428 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 11352 Joules per run.

PostgreSQL

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

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read OnlyEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c800K1600K2400K3200K4000KSE +/- 10640.30, N = 3SE +/- 42157.02, N = 3SE +/- 36381.27, N = 3SE +/- 22337.40, N = 3SE +/- 10652.33, N = 3SE +/- 21790.17, N = 123515623368857935259453461157173221321232171. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average LatencyEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c0.12980.25960.38940.51920.649SE +/- 0.001, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.002, N = 3SE +/- 0.004, N = 3SE +/- 0.005, N = 120.2840.2710.2830.2890.5770.4721. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
MinAvgMaxEPYC 955421.9260.1304.4EPYC 965425.1273.2320.3EPYC 9684X29.1274.7317.8EPYC 975477.1253.0315.2Xeon Platinum 8490H61.4308.7366.1Ampere Altra Max 128c21.8156.3196.7OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL 16CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 36934 Joules per run.2. EPYC 9654: Approximate power consumption of 38793 Joules per run.3. EPYC 9684X: Approximate power consumption of 38914 Joules per run.4. EPYC 9754: Approximate power consumption of 36263 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 43522 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 22902 Joules per run.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read WriteEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c20K40K60K80K100KSE +/- 447.56, N = 3SE +/- 206.72, N = 3SE +/- 72.21, N = 3SE +/- 149.60, N = 3SE +/- 79.20, N = 3SE +/- 735.78, N = 37286078212676067148370604596931. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average LatencyEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c48121620SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.21, N = 313.7312.7914.7913.9914.1616.761. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
MinAvgMaxEPYC 955411.5208.0259.5EPYC 965427.1247.9302.4EPYC 9684X30.7237.3275.5EPYC 975479.5205.7244.3Xeon Platinum 8490H65.3299.1351.3Ampere Altra Max 128c22.7118.0152.4OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL 16CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 29534 Joules per run.2. EPYC 9654: Approximate power consumption of 35289 Joules per run.3. EPYC 9684X: Approximate power consumption of 33703 Joules per run.4. EPYC 9754: Approximate power consumption of 29481 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 42176 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 17273 Joules per run.

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 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c1530456075SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.22, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 349.9452.0552.9966.1346.5866.051. RawTherapee, version 5.9, command line.
MinAvgMaxEPYC 955422.2100.4123.5EPYC 965427.4122.5149.1EPYC 9684X30.6133.7159.4EPYC 975478.6106.6133.6Xeon Platinum 8490H61.0187.2214.7Ampere Altra Max 128c22.154.578.6OpenBenchmarking.orgWatts, Fewer Is BetterRawTherapeeCPU Power Consumption Monitor601201802403001. EPYC 9554: Approximate power consumption of 5491 Joules per run.2. EPYC 9654: Approximate power consumption of 7024 Joules per run.3. EPYC 9684X: Approximate power consumption of 7756 Joules per run.4. EPYC 9754: Approximate power consumption of 7601 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 9674 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 3888 Joules per run.

Stress-NG

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

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: NUMAEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c30060090012001500SE +/- 4.03, N = 3SE +/- 1.10, N = 3SE +/- 1.38, N = 3SE +/- 2.90, N = 3SE +/- 1.16, N = 3SE +/- 2.51, N = 3967.561237.361173.071397.611144.041454.68-lm -laio -lapparmor -latomic -lcrypt -ldl -ljpeg -lpthread -lrt -lsctp -lz-lm -laio -lapparmor -latomic -lcrypt -ldl -ljpeg -lpthread -lrt -lsctp -lz-lm -laio -lapparmor -latomic -lcrypt -ldl -ljpeg -lpthread -lrt -lsctp -lz-lm -laio -lapparmor -latomic -lcrypt -ldl -ljpeg -lpthread -lrt -lsctp -lz-lm -laio -lapparmor -latomic -lcrypt -ldl -ljpeg -lpthread -lrt -lsctp -lz-O2 -std=gnu991. (CXX) g++ options: -lc
OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.16.04Test: NUMAEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c5101520253.4504.0884.1064.9513.60320.369
MinAvgMaxEPYC 955419.9280.4320.9EPYC 965426.8302.7345.1EPYC 9684X30.0285.7325.7EPYC 975478.2282.3316.6Xeon Platinum 8490H60.0317.5377.5Ampere Altra Max 128c22.371.481.9OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.16.04CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 9628 Joules per run.2. EPYC 9654: Approximate power consumption of 10291 Joules per run.3. EPYC 9684X: Approximate power consumption of 9808 Joules per run.4. EPYC 9754: Approximate power consumption of 9692 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 10796 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 2452 Joules per run.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Matrix MathEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c150K300K450K600K750KSE +/- 6782.96, N = 12SE +/- 508.29, N = 3SE +/- 944.14, N = 3SE +/- 236.23, N = 3SE +/- 3004.11, N = 6SE +/- 389.46, N = 3346518.02421053.02417406.39552067.04304345.30682356.13-lm -laio -lapparmor -latomic -lcrypt -ldl -ljpeg -lpthread -lrt -lsctp -lz-lm -laio -lapparmor -latomic -lcrypt -ldl -ljpeg -lpthread -lrt -lsctp -lz-lm -laio -lapparmor -latomic -lcrypt -ldl -ljpeg -lpthread -lrt -lsctp -lz-lm -laio -lapparmor -latomic -lcrypt -ldl -ljpeg -lpthread -lrt -lsctp -lz-lm -laio -lapparmor -latomic -lcrypt -ldl -ljpeg -lpthread -lrt -lsctp -lz-O2 -std=gnu991. (CXX) g++ options: -lc
OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.16.04Test: Matrix MathEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c70014002100280035001235.581484.811435.571768.35962.553471.89
MinAvgMaxEPYC 955422.9280.4318.7EPYC 965427.7283.6323.6EPYC 9684X29.4290.8329.0EPYC 975480.5312.2348.2Xeon Platinum 8490H58.1316.2376.7Ampere Altra Max 128c23.0196.5241.5OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.16.04CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 9559 Joules per run.2. EPYC 9654: Approximate power consumption of 9736 Joules per run.3. EPYC 9684X: Approximate power consumption of 9983 Joules per run.4. EPYC 9754: Approximate power consumption of 10719 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 10803 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 6748 Joules per run.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Vector MathEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c170K340K510K680K850KSE +/- 91.37, N = 3SE +/- 84.27, N = 3SE +/- 77.65, N = 3SE +/- 1066.79, N = 3SE +/- 127.07, N = 3SE +/- 22.94, N = 3507522.16611736.59585746.56773130.23315559.62399080.05-lm -laio -lapparmor -latomic -lcrypt -ldl -ljpeg -lpthread -lrt -lsctp -lz-lm -laio -lapparmor -latomic -lcrypt -ldl -ljpeg -lpthread -lrt -lsctp -lz-lm -laio -lapparmor -latomic -lcrypt -ldl -ljpeg -lpthread -lrt -lsctp -lz-lm -laio -lapparmor -latomic -lcrypt -ldl -ljpeg -lpthread -lrt -lsctp -lz-lm -laio -lapparmor -latomic -lcrypt -ldl -ljpeg -lpthread -lrt -lsctp -lz-O2 -std=gnu991. (CXX) g++ options: -lc
OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.16.04Test: Vector MathEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c60012001800240030001804.272162.472126.532610.571006.092938.30
MinAvgMaxEPYC 955422.8281.3319.2EPYC 965428.0282.9322.3EPYC 9684X31.3275.4312.2EPYC 975480.9296.2330.4Xeon Platinum 8490H63.3313.6351.0Ampere Altra Max 128c22.9135.8156.2OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.16.04CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 9658 Joules per run.2. EPYC 9654: Approximate power consumption of 9618 Joules per run.3. EPYC 9684X: Approximate power consumption of 9365 Joules per run.4. EPYC 9754: Approximate power consumption of 10267 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 10769 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 4663 Joules per run.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: AVX-512 VNNIEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c2M4M6M8M10MSE +/- 3784.35, N = 3SE +/- 527.77, N = 3SE +/- 7626.35, N = 3SE +/- 6288.41, N = 3SE +/- 9446.68, N = 3SE +/- 234.11, N = 37240174.368271540.068459429.3811411104.744947898.664692150.54-lm -laio -lapparmor -latomic -lcrypt -ldl -ljpeg -lpthread -lrt -lsctp -lz-lm -laio -lapparmor -latomic -lcrypt -ldl -ljpeg -lpthread -lrt -lsctp -lz-lm -laio -lapparmor -latomic -lcrypt -ldl -ljpeg -lpthread -lrt -lsctp -lz-lm -laio -lapparmor -latomic -lcrypt -ldl -ljpeg -lpthread -lrt -lsctp -lz-lm -laio -lapparmor -latomic -lcrypt -ldl -ljpeg -lpthread -lrt -lsctp -lz-O2 -std=gnu991. (CXX) g++ options: -lc
OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.16.04Test: AVX-512 VNNIEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c8K16K24K32K40K26571.9230486.8429926.1436979.4319657.3125073.54
MinAvgMaxEPYC 955422.7272.5309.7EPYC 965427.7271.3306.9EPYC 9684X31.3282.7323.4EPYC 975480.8308.6343.3Xeon Platinum 8490H70.8251.7338.3Ampere Altra Max 128c23.2187.1220.6OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.16.04CPU Power Consumption Monitor801602403204001. EPYC 9554: Approximate power consumption of 9264 Joules per run.2. EPYC 9654: Approximate power consumption of 9315 Joules per run.3. EPYC 9684X: Approximate power consumption of 9705 Joules per run.4. EPYC 9754: Approximate power consumption of 10595 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 8642 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 6425 Joules per run.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Floating PointEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c8K16K24K32K40KSE +/- 2.37, N = 3SE +/- 41.92, N = 3SE +/- 26.43, N = 3SE +/- 56.54, N = 3SE +/- 13.87, N = 3SE +/- 38.91, N = 324168.3630824.9729220.7839031.6422454.7022187.72-lm -laio -lapparmor -latomic -lcrypt -ldl -ljpeg -lpthread -lrt -lsctp -lz-lm -laio -lapparmor -latomic -lcrypt -ldl -ljpeg -lpthread -lrt -lsctp -lz-lm -laio -lapparmor -latomic -lcrypt -ldl -ljpeg -lpthread -lrt -lsctp -lz-lm -laio -lapparmor -latomic -lcrypt -ldl -ljpeg -lpthread -lrt -lsctp -lz-lm -laio -lapparmor -latomic -lcrypt -ldl -ljpeg -lpthread -lrt -lsctp -lz-O2 -std=gnu991. (CXX) g++ options: -lc
OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.16.04Test: Floating PointEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c408012016020087.19105.03105.15124.7272.07176.29
MinAvgMaxEPYC 955422.7277.2314.1EPYC 965426.3293.5332.7EPYC 9684X31.3277.9316.9EPYC 975479.3312.9348.7Xeon Platinum 8490H65.8311.6347.7Ampere Altra Max 128c22.6125.9147.1OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.16.04CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 9425 Joules per run.2. EPYC 9654: Approximate power consumption of 9978 Joules per run.3. EPYC 9684X: Approximate power consumption of 9448 Joules per run.4. EPYC 9754: Approximate power consumption of 10744 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 10698 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 4279 Joules per run.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Memory CopyingEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c7K14K21K28K35KSE +/- 19.64, N = 3SE +/- 22.89, N = 3SE +/- 12.67, N = 3SE +/- 23.24, N = 3SE +/- 67.98, N = 3SE +/- 0.31, N = 322827.2028310.8226495.6334497.5118809.5527163.45-lm -laio -lapparmor -latomic -lcrypt -ldl -ljpeg -lpthread -lrt -lsctp -lz-lm -laio -lapparmor -latomic -lcrypt -ldl -ljpeg -lpthread -lrt -lsctp -lz-lm -laio -lapparmor -latomic -lcrypt -ldl -ljpeg -lpthread -lrt -lsctp -lz-lm -laio -lapparmor -latomic -lcrypt -ldl -ljpeg -lpthread -lrt -lsctp -lz-lm -laio -lapparmor -latomic -lcrypt -ldl -ljpeg -lpthread -lrt -lsctp -lz-O2 -std=gnu991. (CXX) g++ options: -lc
OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.16.04Test: Memory CopyingEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c408012016020078.7295.6097.03123.6759.82166.58
MinAvgMaxEPYC 955422.4290.0331.9EPYC 965426.6296.1337.4EPYC 9684X30.7273.1309.4EPYC 975479.2279.0314.4Xeon Platinum 8490H58.2314.5376.1Ampere Altra Max 128c23.5163.1191.1OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.16.04CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 9956 Joules per run.2. EPYC 9654: Approximate power consumption of 10168 Joules per run.3. EPYC 9684X: Approximate power consumption of 9285 Joules per run.4. EPYC 9754: Approximate power consumption of 9577 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 10797 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 5599 Joules per run.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Wide Vector MathEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c900K1800K2700K3600K4500KSE +/- 1186.05, N = 3SE +/- 41.80, N = 3SE +/- 30.71, N = 3SE +/- 495.80, N = 3SE +/- 3353.99, N = 3SE +/- 465.61, N = 32250265.272597630.052597371.593437154.964423715.192355041.96-lm -laio -lapparmor -latomic -lcrypt -ldl -ljpeg -lpthread -lrt -lsctp -lz-lm -laio -lapparmor -latomic -lcrypt -ldl -ljpeg -lpthread -lrt -lsctp -lz-lm -laio -lapparmor -latomic -lcrypt -ldl -ljpeg -lpthread -lrt -lsctp -lz-lm -laio -lapparmor -latomic -lcrypt -ldl -ljpeg -lpthread -lrt -lsctp -lz-lm -laio -lapparmor -latomic -lcrypt -ldl -ljpeg -lpthread -lrt -lsctp -lz-O2 -std=gnu991. (CXX) g++ options: -lc
OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.16.04Test: Wide Vector MathEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c3K6K9K12K15K7880.529120.778987.0211451.1414009.4113527.03
MinAvgMaxEPYC 955422.8285.5323.3EPYC 965427.9284.8323.2EPYC 9684X31.2289.0328.2EPYC 975480.5300.2335.7Xeon Platinum 8490H63.1315.8377.1Ampere Altra Max 128c23.3174.1205.6OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.16.04CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 9709 Joules per run.2. EPYC 9654: Approximate power consumption of 9778 Joules per run.3. EPYC 9684X: Approximate power consumption of 9826 Joules per run.4. EPYC 9754: Approximate power consumption of 10305 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 10841 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 5919 Joules per run.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Fused Multiply-AddEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c50M100M150M200M250MSE +/- 1366328.72, N = 3SE +/- 301328.09, N = 3SE +/- 140980.34, N = 3SE +/- 2076871.25, N = 3SE +/- 222901.64, N = 3SE +/- 11189.02, N = 3167642337.90202941117.45202387450.78256387572.72145542113.66151397996.39-lm -laio -lapparmor -latomic -lcrypt -ldl -ljpeg -lpthread -lrt -lsctp -lz-lm -laio -lapparmor -latomic -lcrypt -ldl -ljpeg -lpthread -lrt -lsctp -lz-lm -laio -lapparmor -latomic -lcrypt -ldl -ljpeg -lpthread -lrt -lsctp -lz-lm -laio -lapparmor -latomic -lcrypt -ldl -ljpeg -lpthread -lrt -lsctp -lz-lm -laio -lapparmor -latomic -lcrypt -ldl -ljpeg -lpthread -lrt -lsctp -lz-O2 -std=gnu991. (CXX) g++ options: -lc
OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.16.04Test: Fused Multiply-AddEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c200K400K600K800K1000K582861.50694638.83681791.81864910.19462151.13750899.23
MinAvgMaxEPYC 955422.8287.6327.9EPYC 965427.8292.2333.6EPYC 9684X31.2296.8337.5EPYC 975480.9296.4331.8Xeon Platinum 8490H64.9314.9355.4Ampere Altra Max 128c23.2201.6236.3OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.16.04CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 9779 Joules per run.2. EPYC 9654: Approximate power consumption of 9933 Joules per run.3. EPYC 9684X: Approximate power consumption of 10192 Joules per run.4. EPYC 9754: Approximate power consumption of 10276 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 10812 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 6855 Joules per run.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Vector Floating PointEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c60K120K180K240K300KSE +/- 501.85, N = 3SE +/- 711.78, N = 3SE +/- 391.96, N = 3SE +/- 685.71, N = 3SE +/- 194.19, N = 3SE +/- 39.83, N = 3181377.97215564.78214129.85280779.02138052.19102559.01-lm -laio -lapparmor -latomic -lcrypt -ldl -ljpeg -lpthread -lrt -lsctp -lz-lm -laio -lapparmor -latomic -lcrypt -ldl -ljpeg -lpthread -lrt -lsctp -lz-lm -laio -lapparmor -latomic -lcrypt -ldl -ljpeg -lpthread -lrt -lsctp -lz-lm -laio -lapparmor -latomic -lcrypt -ldl -ljpeg -lpthread -lrt -lsctp -lz-lm -laio -lapparmor -latomic -lcrypt -ldl -ljpeg -lpthread -lrt -lsctp -lz-O2 -std=gnu991. (CXX) g++ options: -lc
OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.16.04Test: Vector Floating PointEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c2004006008001000649.16761.61743.74916.63601.07718.26
MinAvgMaxEPYC 955423.0279.4317.4EPYC 965426.5283.0320.1EPYC 9684X31.3287.9327.4EPYC 975481.2306.3338.2Xeon Platinum 8490H63.1229.7253.2Ampere Altra Max 128c23.0142.8191.1OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.16.04CPU Power Consumption Monitor801602403204001. EPYC 9554: Approximate power consumption of 9500 Joules per run.2. EPYC 9654: Approximate power consumption of 9718 Joules per run.3. EPYC 9684X: Approximate power consumption of 9885 Joules per run.4. EPYC 9754: Approximate power consumption of 10415 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 7886 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 4902 Joules per run.

Sysbench

This is a benchmark of Sysbench with the built-in CPU and memory sub-tests. Sysbench is a scriptable multi-threaded benchmark tool based on LuaJIT. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEvents Per Second, More Is BetterSysbench 1.0.20Test: CPUEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c110K220K330K440K550KSE +/- 163.93, N = 3SE +/- 81.03, N = 3SE +/- 75.75, N = 3SE +/- 81.24, N = 3SE +/- 3.36, N = 3SE +/- 46.85, N = 3311423.41454951.33388317.80514483.58154451.20437954.921. (CC) gcc options: -O2 -funroll-loops -rdynamic -ldl -laio -lm
OpenBenchmarking.orgEvents Per Second Per Watt, More Is BetterSysbench 1.0.20Test: CPUEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c70014002100280035001359.831523.611645.671909.14618.303487.46
MinAvgMaxEPYC 955422.5229.0240.5EPYC 965427.5298.6317.2EPYC 9684X30.0236.0246.9EPYC 975480.7269.5281.0Xeon Platinum 8490H59.4249.8259.7Ampere Altra Max 128c23.2125.6132.5OpenBenchmarking.orgWatts, Fewer Is BetterSysbench 1.0.20CPU Power Consumption Monitor801602403204001. EPYC 9554: Approximate power consumption of 21451 Joules per run.2. EPYC 9654: Approximate power consumption of 27869 Joules per run.3. EPYC 9684X: Approximate power consumption of 22102 Joules per run.4. EPYC 9754: Approximate power consumption of 25242 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 23481 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 11805 Joules per run.

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 4.1.3Test: WritesEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c60K120K180K240K300KSE +/- 554.18, N = 3SE +/- 162.88, N = 3SE +/- 1195.73, N = 3SE +/- 1223.06, N = 3SE +/- 883.78, N = 3SE +/- 2776.53, N = 3301963285324286460236320139654227548
OpenBenchmarking.orgOp/s Per Watt, More Is BetterApache Cassandra 4.1.3Test: WritesEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c4008001200160020001700.281349.721282.091432.67557.852068.00
MinAvgMaxEPYC 955422.7177.6215.1EPYC 965426.8211.4268.5EPYC 9684X31.5223.4260.5EPYC 975479.3165.0203.6Xeon Platinum 8490H77.9250.3325.8Ampere Altra Max 128c23.2110.0133.2OpenBenchmarking.orgWatts, Fewer Is BetterApache Cassandra 4.1.3CPU Power Consumption Monitor801602403204001. EPYC 9554: Approximate power consumption of 25811 Joules per run.2. EPYC 9654: Approximate power consumption of 30793 Joules per run.3. EPYC 9684X: Approximate power consumption of 32547 Joules per run.4. EPYC 9754: Approximate power consumption of 24083 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 36133 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 16101 Joules per run.

RocksDB

This is a benchmark of Meta/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 BetterRocksDB 8.0Test: Random ReadEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c130M260M390M520M650MSE +/- 106225.72, N = 3SE +/- 1006626.36, N = 3SE +/- 539077.40, N = 3SE +/- 817605.37, N = 3SE +/- 6039899.37, N = 15SE +/- 3039704.34, N = 153769834154293102634868627856112591612683744864354372761. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 8.0Test: Random ReadEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c500K1000K1500K2000K2500K1450487.411599837.631587869.932068476.16808152.352282816.53
MinAvgMaxEPYC 955422.2259.9283.8EPYC 965427.2268.3293.5EPYC 9684X30.9306.6327.5EPYC 975479.0295.5314.1Xeon Platinum 8490H59.2332.1378.9Ampere Altra Max 128c23.1190.7208.7OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 8.0CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 16634 Joules per run.2. EPYC 9654: Approximate power consumption of 17174 Joules per run.3. EPYC 9684X: Approximate power consumption of 19521 Joules per run.4. EPYC 9754: Approximate power consumption of 18913 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 21276 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 12220 Joules per run.

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Read While WritingEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c2M4M6M8M10MSE +/- 76607.71, N = 5SE +/- 76682.69, N = 3SE +/- 90164.28, N = 3SE +/- 28493.97, N = 3SE +/- 46694.84, N = 3SE +/- 89314.22, N = 1574126509704119951845211046045609111887919111. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 8.0Test: Read While WritingEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c12K24K36K48K60K29788.4733265.3933658.0943697.4618426.0754308.81
MinAvgMaxEPYC 955422.5248.8327.1EPYC 965426.4291.7335.5EPYC 9684X31.3282.8340.7EPYC 975480.3252.8333.2Xeon Platinum 8490H58.4330.6375.1Ampere Altra Max 128c23.4161.9195.2OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 8.0CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 15926 Joules per run.2. EPYC 9654: Approximate power consumption of 18573 Joules per run.3. EPYC 9684X: Approximate power consumption of 18099 Joules per run.4. EPYC 9754: Approximate power consumption of 16178 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 21267 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 10372 Joules per run.

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c150300450600750Min: 11.14 / Avg: 227.12 / Max: 369.31Min: 13.35 / Avg: 244.91 / Max: 809.65Min: 24.82 / Avg: 251.58 / Max: 451.13Min: 18.66 / Avg: 231.83 / Max: 866.74Min: 60.21 / Avg: 309.16 / Max: 380.81Min: 21.02 / Avg: 100.45 / Max: 241.47

Timed Gem5 Compilation

This test times how long it takes to compile Gem5. Gem5 is a simulator for computer system architecture research. Gem5 is widely used for computer architecture research within the industry, academia, and more. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Gem5 Compilation 23.0.1Time To CompileEPYC 9554EPYC 9654EPYC 9684XEPYC 9754Xeon Platinum 8490HAmpere Altra Max 128c60120180240300SE +/- 1.67, N = 3SE +/- 1.09, N = 3SE +/- 1.97, N = 3SE +/- 2.85, N = 3SE +/- 1.53, N = 3SE +/- 3.13, N = 4179.74180.86180.06208.58197.76260.33
MinAvgMaxEPYC 955421.7153.9325.7EPYC 965426.9166.9330.8EPYC 9684X29.3172.3326.1EPYC 975478.4144.8328.8Xeon Platinum 8490H66.4228.2375.7Ampere Altra Max 128c23.987.6173.4OpenBenchmarking.orgWatts, Fewer Is BetterTimed Gem5 Compilation 23.0.1CPU Power Consumption Monitor1002003004005001. EPYC 9554: Approximate power consumption of 28464 Joules per run.2. EPYC 9654: Approximate power consumption of 31092 Joules per run.3. EPYC 9684X: Approximate power consumption of 31932 Joules per run.4. EPYC 9754: Approximate power consumption of 31026 Joules per run.5. Xeon Platinum 8490H: Approximate power consumption of 46333 Joules per run.6. Ampere Altra Max 128c: Approximate power consumption of 23293 Joules per run.

87 Results Shown

High Performance Conjugate Gradient
NAS Parallel Benchmarks:
  BT.C
  CG.C
  FT.C
  IS.D
  LU.C
  MG.C
  SP.C
miniFE
miniBUDE:
  OpenMP - BM2:
    GFInst/s
    Billion Interactions/s
CloverLeaf:
  clover_bm16
  clover_bm64_short
Rodinia
Algebraic Multi-Grid Benchmark
libxsmm:
  128
  256
NWChem
Xcompact3d Incompact3d:
  X3D-benchmarking input.i3d
  input.i3d 193 Cells Per Direction
LULESH
Xmrig:
  Monero - 1M
  Wownero - 1M
John The Ripper:
  bcrypt
  WPA PSK
  Blowfish
  MD5
GraphicsMagick:
  Sharpen
  Enhanced
easyWave:
  e2Asean Grid + BengkuluSept2007 Source - 1200
  e2Asean Grid + BengkuluSept2007 Source - 2400
ACES DGEMM
Coremark
7-Zip Compression:
  Compression Rating
  Decompression Rating
Stockfish
asmFish
Timed Godot Game Engine Compilation
Timed Linux Kernel Compilation:
  defconfig
  allmodconfig
Timed LLVM Compilation
Timed Node.js Compilation
Primesieve
oneDNN
Helsing
OpenSSL:
  SHA256
  SHA512
  ChaCha20
  AES-128-GCM
  AES-256-GCM
  ChaCha20-Poly1305
Liquid-DSP:
  128 - 256 - 512
  240 - 256 - 512
ClickHouse:
  100M Rows Hits Dataset, First Run / Cold Cache
  100M Rows Hits Dataset, Second Run
  100M Rows Hits Dataset, Third Run
Memcached:
  1:10
  1:100
ASKAP:
  tConvolve MT - Gridding
  tConvolve MPI - Degridding
  tConvolve MPI - Gridding
Graph500:
  26:
    bfs median_TEPS
    bfs max_TEPS
    sssp median_TEPS
    sssp max_TEPS
DuckDB:
  IMDB
  TPC-H Parquet
PostgreSQL:
  100 - 1000 - Read Only
  100 - 1000 - Read Only - Average Latency
  100 - 1000 - Read Write
  100 - 1000 - Read Write - Average Latency
RawTherapee
Stress-NG:
  NUMA
  Matrix Math
  Vector Math
  AVX-512 VNNI
  Floating Point
  Memory Copying
  Wide Vector Math
  Fused Multiply-Add
  Vector Floating Point
Sysbench
Apache Cassandra
RocksDB:
  Rand Read
  Read While Writing
CPU Power Consumption Monitor
Timed Gem5 Compilation

EPYC 9554

Processor: AMD EPYC 9554 64-Core @ 3.10GHz (64 Cores / 128 Threads), Motherboard: AMD Titanite_4G (RTI1007B BIOS), Chipset: AMD Device 14a4, Memory: 768GB, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS, Graphics: ASPEED, Network: Broadcom NetXtreme BCM5720 PCIe

OS: Ubuntu 23.10, Kernel: 6.6.0-rc5-phx-patched (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --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-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-gcn/usr --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-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa10113e
Java Notes: OpenJDK Runtime Environment (build 11.0.20+8-post-Ubuntu-1ubuntu1)
Python Notes: Python 3.11.6
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 13 November 2023 02:51 by user phoronix.

EPYC 9654

Processor: AMD EPYC 9654 96-Core @ 2.40GHz (96 Cores / 192 Threads), Motherboard: AMD Titanite_4G (RTI1007B BIOS), Chipset: AMD Device 14a4, Memory: 768GB, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS, Graphics: ASPEED, Network: Broadcom NetXtreme BCM5720 PCIe

OS: Ubuntu 23.10, Kernel: 6.6.0-rc5-phx-patched (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --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-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-gcn/usr --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-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa10113e
Java Notes: OpenJDK Runtime Environment (build 11.0.20+8-post-Ubuntu-1ubuntu1)
Python Notes: Python 3.11.6
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 15 November 2023 22:00 by user phoronix.

EPYC 9684X

Processor: AMD EPYC 9684X 96-Core @ 2.55GHz (96 Cores / 192 Threads), Motherboard: AMD Titanite_4G (RTI1007B BIOS), Chipset: AMD Device 14a4, Memory: 768GB, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS, Graphics: ASPEED, Network: Broadcom NetXtreme BCM5720 PCIe

OS: Ubuntu 23.10, Kernel: 6.6.0-rc5-phx-patched (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --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-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-gcn/usr --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-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa10113e
Java Notes: OpenJDK Runtime Environment (build 11.0.20+8-post-Ubuntu-1ubuntu1)
Python Notes: Python 3.11.6
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 8 November 2023 16:47 by user phoronix.

EPYC 9754

Processor: AMD EPYC 9754 128-Core @ 2.25GHz (128 Cores / 256 Threads), Motherboard: AMD Titanite_4G (RTI1007B BIOS), Chipset: AMD Device 14a4, Memory: 768GB, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS, Graphics: ASPEED, Network: Broadcom NetXtreme BCM5720 PCIe

OS: Ubuntu 23.10, Kernel: 6.6.0-rc5-phx-patched (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --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-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-gcn/usr --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-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xaa00116
Java Notes: OpenJDK Runtime Environment (build 11.0.20+8-post-Ubuntu-1ubuntu1)
Python Notes: Python 3.11.6
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 9 November 2023 20:48 by user phoronix.

Xeon Platinum 8490H

Processor: Intel Xeon Platinum 8490H @ 3.50GHz (60 Cores / 120 Threads), Motherboard: Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS), Chipset: Intel Device 1bce, Memory: 512GB, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS, Graphics: ASPEED

OS: Ubuntu 23.10, Kernel: 6.6.0-rc5-phx-patched (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --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-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-gcn/usr --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-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x2b0004b1
Java Notes: OpenJDK Runtime Environment (build 11.0.20+8-post-Ubuntu-1ubuntu1)
Python Notes: Python 3.11.6
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 31 October 2023 17:20 by user phoronix.

Ampere Altra Max 128c

Processor: ARMv8 Neoverse-N1 @ 3.00GHz (128 Cores), Motherboard: GIGABYTE MP32-AR2-00 v01000100 (F31k SCP: 2.10.20220531 BIOS), Chipset: Ampere Computing LLC Altra PCI Root Complex A, Memory: 512GB, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS, Graphics: ASPEED, Monitor: VGA HDMI, Network: 2 x Intel I350

OS: Ubuntu 23.10, Kernel: 6.6.0-rc5-phx-patched (aarch64), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1080

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-bootstrap --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-link-serialization=2 --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-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto -v
Processor Notes: Scaling Governor: cppc_cpufreq performance (Boost: Disabled)
Java Notes: OpenJDK Runtime Environment (build 11.0.20+8-post-Ubuntu-1ubuntu1)
Python Notes: Python 3.11.6
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Mitigation of CSV2 BHB + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 27 November 2023 17:46 by user phoronix.