AmpereOne A192-32X vs. Ampere Altra Max CPU Performance Benchmarks

AmpereOne benchmarks by Michael Larabel for a future article review on Phoronix.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2408297-NE-AMPEREONE48
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Ampere Altra Max M128-30
August 25
  12 Hours, 4 Minutes
AmpereOne A192-32X @ 128 Cores
August 26
  7 Hours, 53 Minutes
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Ampere Altra Max M128-30

Processor: ARMv8 Neoverse-N1 @ 3.00GHz (128 Cores), Motherboard: GIGABYTE G242-P36-00 MP32-AR2-00 v01000100 (F31k SCP: 2.10.20220531 BIOS), Chipset: Ampere Computing LLC Altra PCI Root Complex A, Memory: 16 x 32GB DDR4-3200MT/s Samsung M393A4K40DB3-CWE, Disk: 800GB Micron_7450_MTFDKBA800TFS, Graphics: ASPEED, Network: 2 x Intel I350

OS: Ubuntu 24.04, Kernel: 6.8.0-39-generic (aarch64), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1024x768

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-dIwDw0/gcc-13-13.2.0/debian/tmp-nvptx/usr --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto --without-cuda-driver -v
Processor Notes: Scaling Governor: cppc_cpufreq performance (Boost: Disabled)
Python Notes: Python 3.12.2
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

AmpereOne A192-32X @ 128 Cores

Processor: AmpereOne @ 3.20GHz (128 Cores), Motherboard: Supermicro ARS-211M-NR R13SPD v1.02 (T20240726102529 BIOS), Chipset: Ampere Computing LLC Device e208, Memory: 8 x 64GB DDR5-5200MT/s, Disk: 3841GB SAMSUNG MZQL23T8HCLS-00A07 + 960GB SAMSUNG MZ1L2960HCJR-00A07, Graphics: ASPEED, Monitor: VGA HDMI, Network: 2 x Broadcom BCM57414 NetXtreme-E 10Gb/25Gb + 2 x Mellanox MT2892

OS: Ubuntu 24.04, Kernel: 6.8.0-39-generic-64k (aarch64), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1080

Kernel Notes: Transparent Huge Pages: always
Compiler Notes: --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-dIwDw0/gcc-13-13.2.0/debian/tmp-nvptx/usr --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto --without-cuda-driver -v
Processor Notes: Scaling Governor: cppc_cpufreq performance (Boost: Disabled)
Python Notes: Python 3.12.3
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 + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Not affected + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Not affected + srbds: Not affected + tsx_async_abort: Not affected

AmpereOne A192-32X vs. Ampere Altra Max CPU Performance BenchmarksProcessorMotherboardChipsetMemoryDiskGraphicsNetworkMonitorOSKernelCompilerFile-SystemScreen ResolutionAmpere Altra Max M128-30AmpereOne A192-32X @ 128 CoresARMv8 Neoverse-N1 @ 3.00GHz (128 Cores)GIGABYTE G242-P36-00 MP32-AR2-00 v01000100 (F31k SCP: 2.10.20220531 BIOS)Ampere Computing LLC Altra PCI Root Complex A16 x 32GB DDR4-3200MT/s Samsung M393A4K40DB3-CWE800GB Micron_7450_MTFDKBA800TFSASPEED2 x Intel I350Ubuntu 24.046.8.0-39-generic (aarch64)GCC 13.2.0ext41024x768AmpereOne @ 3.20GHz (128 Cores)Supermicro ARS-211M-NR R13SPD v1.02 (T20240726102529 BIOS)Ampere Computing LLC Device e2088 x 64GB DDR5-5200MT/s3841GB SAMSUNG MZQL23T8HCLS-00A07 + 960GB SAMSUNG MZ1L2960HCJR-00A07VGA HDMI2 x Broadcom BCM57414 NetXtreme-E 10Gb/25Gb + 2 x Mellanox MT28926.8.0-39-generic-64k (aarch64)1920x1080OpenBenchmarking.orgKernel Details- Ampere Altra Max M128-30: Transparent Huge Pages: madvise- AmpereOne A192-32X @ 128 Cores: Transparent Huge Pages: alwaysCompiler Details- --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-dIwDw0/gcc-13-13.2.0/debian/tmp-nvptx/usr --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto --without-cuda-driver -v Processor Details- Scaling Governor: cppc_cpufreq performance (Boost: Disabled)Python Details- Ampere Altra Max M128-30: Python 3.12.2- AmpereOne A192-32X @ 128 Cores: Python 3.12.3Security Details- Ampere Altra Max M128-30: 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 - AmpereOne A192-32X @ 128 Cores: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Not affected + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Ampere Altra Max M128-30 vs. AmpereOne A192-32X @ 128 Cores ComparisonPhoronix Test SuiteBaseline+162.8%+162.8%+325.6%+325.6%+488.4%+488.4%651.2%424.7%403.8%275.8%238.2%201.1%186%147.8%141.2%131%116.7%104%101.5%89.5%69.7%68.4%65.8%65.1%64.9%51.9%51.8%51.3%44.3%43.3%43.1%39.5%38%34.3%33.1%28.8%26.8%25.3%23.5%22.7%22.6%21.5%20.8%18.5%17.8%15.8%15.3%14.2%13.9%13.5%13.1%12.9%12%6.3%4.8%tConvolve MPI - GriddingleblancbigGhostRider - 1MsedovbigtConvolve MPI - DegriddingTime To Compiled.S.M.S - Execution Timei.i.1.C.P.Dd.M.M.S - Execution Time1e13IS.DX.b.i.iCompression Ratingclover_bm16clover_bm64_shortSmallCarbon NanotubeChess BenchmarkNinja144 144 144 - 60Time To Compile100 - 1000 - Read Only100 - 1000 - Read Only - Average Latencyd.M.M.S - Mesh TimeP.P.B.T.TSwirl14 digitTime To CompileRand ReadSP.Cd.S.M.S - Mesh TimeLi2_STO_aeF.1.0.R.a.m.i.CC240 BuckyballNoise-GaussianVery Thorough19.3%Thorough18.6%Exhaustive18.5%20k AtomsD.B.s - CPUBlowfishRhodopsin ProteinbcryptRead While Writing14.2%CPU - 512 - ResNet-50MPI CPU - water_GMX50_bareP.P.B.T.TRand ReadD.RTime To SolveSharpenCoreMark Size 666 - I.P.S4.1%EP.D3.3%Enhanced2%ASKAPPennantXmrigPennantASKAPLULESHTimed Node.js CompilationOpenFOAMXcompact3d Incompact3dOpenFOAMPrimesieveNAS Parallel BenchmarksXcompact3d Incompact3d7-Zip CompressionAlgebraic Multi-Grid BenchmarkCloverLeafCloverLeafminiFEGPAWStockfishTimed LLVM CompilationHigh Performance Conjugate GradientTimed Mesa CompilationPostgreSQLPostgreSQLOpenFOAMsrsRAN ProjectGraphicsMagickHelsingTimed Gem5 CompilationRocksDBNAS Parallel BenchmarksOpenFOAMQMCPACKParallel BZIP2 CompressionNWChemGraphicsMagickASTC EncoderASTC EncoderASTC EncoderLAMMPS Molecular Dynamics SimulatoroneDNNJohn The RipperLAMMPS Molecular Dynamics SimulatorJohn The RipperRocksDBPyTorchGROMACSsrsRAN ProjectSpeedb7-Zip Compressionm-queensGraphicsMagickCoremarkNAS Parallel BenchmarksGraphicsMagickAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores

AmpereOne A192-32X vs. Ampere Altra Max CPU Performance Benchmarksaskap: tConvolve MPI - Griddingxmrig: GhostRider - 1Maskap: tConvolve MPI - Degriddinglulesh: build-nodejs: Time To Compileopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Medium Mesh Size - Execution Timeprimesieve: 1e13npb: IS.Dincompact3d: X3D-benchmarking input.i3dcompress-7zip: Compression Ratingamg: cloverleaf: clover_bm16cloverleaf: clover_bm64_shortminife: Smallgpaw: Carbon Nanotubebuild-llvm: Ninjahpcg: 144 144 144 - 60build-mesa: Time To Compilepgbench: 100 - 1000 - Read Onlypgbench: 100 - 1000 - Read Only - Average Latencyopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timesrsran: PDSCH Processor Benchmark, Throughput Totalgraphics-magick: Swirlhelsing: 14 digitbuild-gem5: Time To Compilerocksdb: Rand Readnpb: SP.Copenfoam: drivaerFastback, Small Mesh Size - Mesh Timeqmcpack: Li2_STO_aecompress-pbzip2: FreeBSD-13.0-RELEASE-amd64-memstick.img Compressionnwchem: C240 Buckyballgraphics-magick: Noise-Gaussianastcenc: Very Thoroughastcenc: Thoroughastcenc: Exhaustivelammps: 20k Atomsonednn: Deconvolution Batch shapes_3d - CPUjohn-the-ripper: Blowfishjohn-the-ripper: bcryptrocksdb: Read While Writingpytorch: CPU - 512 - ResNet-50gromacs: MPI CPU - water_GMX50_baresrsran: PUSCH Processor Benchmark, Throughput Totalspeedb: Rand Readcompress-7zip: Decompression Ratingm-queens: Time To Solvegraphics-magick: Sharpencoremark: CoreMark Size 666 - Iterations Per Secondnpb: EP.Dgraphics-magick: Enhancedwrf: conus 2.5kmstockfish: Chess Benchmarkincompact3d: input.i3d 193 Cells Per Directionpennant: sedovbigpennant: leblancbiglammps: Rhodopsin ProteinAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores2447.542528.35327.9013836.673668.09693.476664870.6812642.2301186.96618.9640303191401055401000554.3262.7423992.974.177291.78621.121525.23718932020.528200.8051913735.149357.758271.22839270559820150.9133.665967134.832.5183532720.21685.881540.06433.639840.5832.84699104564105864965761021.134.5881665.34491804235368818.4142942830050.3857495253.252585917541024.624157022.7763125.0801339.66418386.912738.018018.841666.593233.61537.727827376.8413419.4902420.96307.1225386047231791333000329.1537.8539605.844.981192.20031.967117.49527135880.369143.9278618948.266243.401210.56749807588425255.3227.259567109.882.0548552239.12034.929533.78713.071348.0872.41716121100120886846009524.065.2061883.45073481576015537.9133082717686.0490485087.142539608.6418991157210.207296366.0606204.78021545.749OpenBenchmarking.org

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.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores4K8K12K16K20KSE +/- 2.52, N = 3SE +/- 26.80, N = 32447.5418386.901. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
OpenBenchmarking.orgMpix/sec Per Watt, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores2040608010017.3293.23
MinAvgMaxAmpere Altra Max M128-3024.0141.3167.0AmpereOne A192-32X @ 128 Cores104.1197.2264.1OpenBenchmarking.orgWatts, Fewer Is BetterASKAP 1.0CPU Power Consumption Monitor701402102803501. Ampere Altra Max M128-30: Approximate power consumption of 22134 Joules per run.2. AmpereOne A192-32X @ 128 Cores: Approximate power consumption of 14661 Joules per run.
MinAvgMaxAmpere Altra Max M128-30129.0296.6388.0OpenBenchmarking.orgWatts, Fewer Is BetterASKAP 1.0System Power Consumption Monitor1002003004005001. Ampere Altra Max M128-30: Approximate power consumption of 46569 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 Xmrig CPU mining performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: GhostRider - Hash Count: 1MAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores3K6K9K12K15KSE +/- 2.03, N = 3SE +/- 96.21, N = 152528.312738.01. (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 6.21Variant: GhostRider - Hash Count: 1MAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores153045607518.9667.96
MinAvgMaxAmpere Altra Max M128-3025.2133.4136.9AmpereOne A192-32X @ 128 Cores104.7187.4192.9OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor501001502002501. Ampere Altra Max M128-30: Approximate power consumption of 38009 Joules per run.2. AmpereOne A192-32X @ 128 Cores: Approximate power consumption of 15482 Joules per run.
MinAvgMaxAmpere Altra Max M128-30111.0283.2295.0OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21System Power Consumption Monitor701402102803501. Ampere Altra Max M128-30: Approximate power consumption of 80702 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.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - DegriddingAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores4K8K12K16K20KSE +/- 14.05, N = 3SE +/- 44.66, N = 35327.9018018.801. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

LULESH

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

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3Ampere Altra Max M128-30AmpereOne A192-32X @ 128 Cores9K18K27K36K45KSE +/- 55.81, N = 3SE +/- 158.62, N = 313836.6741666.591. (CXX) g++ options: -O3 -fopenmp -lm -lmpi_cxx -lmpi
OpenBenchmarking.orgz/s Per Watt, More Is BetterLULESH 2.0.3Ampere Altra Max M128-30AmpereOne A192-32X @ 128 Cores50100150200250124.96217.72
MinAvgMaxAmpere Altra Max M128-3023.5110.7166.0AmpereOne A192-32X @ 128 Cores106.8191.4306.9OpenBenchmarking.orgWatts, Fewer Is BetterLULESH 2.0.3CPU Power Consumption Monitor801602403204001. Ampere Altra Max M128-30: Approximate power consumption of 5020 Joules per run.2. AmpereOne A192-32X @ 128 Cores: Approximate power consumption of 4912 Joules per run.
MinAvgMaxAmpere Altra Max M128-30114.0247.0368.0OpenBenchmarking.orgWatts, Fewer Is BetterLULESH 2.0.3System Power Consumption Monitor1002003004005001. Ampere Altra Max M128-30: Approximate power consumption of 11197 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 21.7.2Time To CompileAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores140280420560700SE +/- 1.65, N = 3SE +/- 0.12, N = 3668.10233.62
OpenBenchmarking.orgWatts, Fewer Is BetterTimed Node.js Compilation 21.7.2CPU Power Consumption MonitorAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores50100150200250Min: 21.24 / Avg: 128.75 / Max: 188.15Min: 103.62 / Avg: 187.62 / Max: 292.291. Ampere Altra Max M128-30: Approximate power consumption of 62403 Joules per run.2. AmpereOne A192-32X @ 128 Cores: Approximate power consumption of 45591 Joules per run.
OpenBenchmarking.orgWatts, Fewer Is BetterTimed Node.js Compilation 21.7.2System Power Consumption MonitorAmpere Altra Max M128-3060120180240300Min: 106 / Avg: 274.9 / Max: 3591. Ampere Altra Max M128-30: Approximate power consumption of 133233 Joules per run.

OpenFOAM

OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Execution TimeAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores2040608010093.4837.731. (CXX) g++ options: -std=c++14 -O3 -mcpu=native -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm
MinAvgMaxAmpere Altra Max M128-3023.4166.7198.4AmpereOne A192-32X @ 128 Cores105.2256.0309.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10CPU Power Consumption Monitor80160240320400
MinAvgMaxAmpere Altra Max M128-30110.0332.9372.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10System Power Consumption Monitor100200300400500

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Execution TimeAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores2004006008001000870.68376.841. (CXX) g++ options: -std=c++14 -O3 -mcpu=native -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm
MinAvgMaxAmpere Altra Max M128-3024.3167.8191.8AmpereOne A192-32X @ 128 Cores107.0249.4313.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10CPU Power Consumption Monitor80160240320400
MinAvgMaxAmpere Altra Max M128-30137.0339.3380.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10System Power Consumption Monitor100200300400500

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 12.1Length: 1e13Ampere Altra Max M128-30AmpereOne A192-32X @ 128 Cores1020304050SE +/- 0.17, N = 3SE +/- 0.03, N = 342.2319.491. (CXX) g++ options: -O3
MinAvgMaxAmpere Altra Max M128-3023.8194.0229.9AmpereOne A192-32X @ 128 Cores106.7278.1326.9OpenBenchmarking.orgWatts, Fewer Is BetterPrimesieve 12.1CPU Power Consumption Monitor801602403204001. Ampere Altra Max M128-30: Approximate power consumption of 6466 Joules per run.2. AmpereOne A192-32X @ 128 Cores: Approximate power consumption of 6489 Joules per run.
MinAvgMaxAmpere Altra Max M128-30109.0409.5500.0OpenBenchmarking.orgWatts, Fewer Is BetterPrimesieve 12.1System Power Consumption Monitor1302603905206501. Ampere Altra Max M128-30: Approximate power consumption of 13650 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: IS.DAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores5001000150020002500SE +/- 2.59, N = 3SE +/- 4.94, N = 31186.962420.961. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores36912158.63412.012
MinAvgMaxAmpere Altra Max M128-3024.1137.5185.7AmpereOne A192-32X @ 128 Cores107.5201.6325.2OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor801602403204001. Ampere Altra Max M128-30: Approximate power consumption of 3254 Joules per run.2. AmpereOne A192-32X @ 128 Cores: Approximate power consumption of 4569 Joules per run.
MinAvgMaxAmpere Altra Max M128-30119.0277.6350.0OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4System Power Consumption Monitor1002003004005001. Ampere Altra Max M128-30: Approximate power consumption of 6663 Joules per run.

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.i3dAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores130260390520650SE +/- 0.45, N = 3SE +/- 1.73, N = 3618.96307.121. (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 MonitorAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores60120180240300Min: 24.12 / Avg: 158.75 / Max: 170.66Min: 105.6 / Avg: 218.38 / Max: 310.191. Ampere Altra Max M128-30: Approximate power consumption of 67787 Joules per run.2. AmpereOne A192-32X @ 128 Cores: Approximate power consumption of 68791 Joules per run.
OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11System Power Consumption MonitorAmpere Altra Max M128-3080160240320400Min: 107 / Avg: 328.06 / Max: 4491. Ampere Altra Max M128-30: Approximate power consumption of 140084 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 RatingAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores130K260K390K520K650KSE +/- 386.03, N = 3SE +/- 2815.31, N = 33191406047231. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

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 1.2Ampere Altra Max M128-30AmpereOne A192-32X @ 128 Cores400M800M1200M1600M2000MSE +/- 136181.25, N = 3SE +/- 541472.38, N = 3105540100017913330001. (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 1.2Ampere Altra Max M128-30AmpereOne A192-32X @ 128 Cores2M4M6M8M10M7292297.798974682.36
MinAvgMaxAmpere Altra Max M128-3024.2144.7172.2AmpereOne A192-32X @ 128 Cores105.6199.6245.7OpenBenchmarking.orgWatts, Fewer Is BetterAlgebraic Multi-Grid Benchmark 1.2CPU Power Consumption Monitor601201802403001. Ampere Altra Max M128-30: Approximate power consumption of 7429 Joules per run.2. AmpereOne A192-32X @ 128 Cores: Approximate power consumption of 8782 Joules per run.
MinAvgMaxAmpere Altra Max M128-30108.0303.1368.0OpenBenchmarking.orgWatts, Fewer Is BetterAlgebraic Multi-Grid Benchmark 1.2System Power Consumption Monitor1002003004005001. Ampere Altra Max M128-30: Approximate power consumption of 15560 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_bm16Ampere Altra Max M128-30AmpereOne A192-32X @ 128 Cores120240360480600SE +/- 0.47, N = 3SE +/- 0.28, N = 3554.32329.151. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
OpenBenchmarking.orgWatts, Fewer Is BetterCloverLeaf 1.3CPU Power Consumption MonitorAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores4080120160200Min: 23.91 / Avg: 153.78 / Max: 172.74Min: 104.8 / Avg: 197.2 / Max: 203.721. Ampere Altra Max M128-30: Approximate power consumption of 61768 Joules per run.2. AmpereOne A192-32X @ 128 Cores: Approximate power consumption of 65601 Joules per run.
OpenBenchmarking.orgWatts, Fewer Is BetterCloverLeaf 1.3System Power Consumption MonitorAmpere Altra Max M128-3060120180240300Min: 108 / Avg: 318.64 / Max: 3311. Ampere Altra Max M128-30: Approximate power consumption of 127988 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm64_shortAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores1428425670SE +/- 0.04, N = 3SE +/- 0.14, N = 362.7437.851. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
MinAvgMaxAmpere Altra Max M128-3023.4148.9167.3AmpereOne A192-32X @ 128 Cores106.2181.2202.9OpenBenchmarking.orgWatts, Fewer Is BetterCloverLeaf 1.3CPU Power Consumption Monitor501001502002501. Ampere Altra Max M128-30: Approximate power consumption of 7097 Joules per run.2. AmpereOne A192-32X @ 128 Cores: Approximate power consumption of 7610 Joules per run.
MinAvgMaxAmpere Altra Max M128-30108.0312.8347.0OpenBenchmarking.orgWatts, Fewer Is BetterCloverLeaf 1.3System Power Consumption Monitor1002003004005001. Ampere Altra Max M128-30: Approximate power consumption of 14910 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: SmallAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores8K16K24K32K40KSE +/- 3.50, N = 4SE +/- 60.85, N = 423992.939605.81. (CXX) g++ options: -O3 -fopenmp -lmpi_cxx -lmpi
OpenBenchmarking.orgCG Mflops Per Watt, More Is BetterminiFE 2.2Problem Size: SmallAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores60120180240300245.34262.54
MinAvgMaxAmpere Altra Max M128-3023.497.8168.9AmpereOne A192-32X @ 128 Cores105.1150.9218.9OpenBenchmarking.orgWatts, Fewer Is BetterminiFE 2.2CPU Power Consumption Monitor601201802403001. Ampere Altra Max M128-30: Approximate power consumption of 1442 Joules per run.2. AmpereOne A192-32X @ 128 Cores: Approximate power consumption of 2715 Joules per run.
MinAvgMaxAmpere Altra Max M128-30107.0224.4340.0OpenBenchmarking.orgWatts, Fewer Is BetterminiFE 2.2System Power Consumption Monitor801602403204001. Ampere Altra Max M128-30: Approximate power consumption of 3366 Joules per run.

GPAW

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 23.6Input: Carbon NanotubeAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores1632486480SE +/- 0.24, N = 3SE +/- 0.01, N = 374.1844.981. (CC) gcc options: -shared -fwrapv -O2 -lxc -lblas -lmpi
MinAvgMaxAmpere Altra Max M128-3024.2192.7227.1AmpereOne A192-32X @ 128 Cores107.3276.0338.9OpenBenchmarking.orgWatts, Fewer Is BetterGPAW 23.6CPU Power Consumption Monitor801602403204001. Ampere Altra Max M128-30: Approximate power consumption of 11048 Joules per run.2. AmpereOne A192-32X @ 128 Cores: Approximate power consumption of 14261 Joules per run.
MinAvgMaxAmpere Altra Max M128-30150.0403.0529.0OpenBenchmarking.orgWatts, Fewer Is BetterGPAW 23.6System Power Consumption Monitor1302603905206501. Ampere Altra Max M128-30: Approximate power consumption of 23240 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: NinjaAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores60120180240300SE +/- 1.86, N = 3SE +/- 0.79, N = 3291.79192.20
MinAvgMaxAmpere Altra Max M128-3024.1120.2186.6AmpereOne A192-32X @ 128 Cores103.1181.1283.8OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 16.0CPU Power Consumption Monitor701402102803501. Ampere Altra Max M128-30: Approximate power consumption of 27163 Joules per run.2. AmpereOne A192-32X @ 128 Cores: Approximate power consumption of 37918 Joules per run.
MinAvgMaxAmpere Altra Max M128-30109.0259.7379.0OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 16.0System Power Consumption Monitor1002003004005001. Ampere Altra Max M128-30: Approximate power consumption of 58607 Joules per run.

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: 60Ampere Altra Max M128-30AmpereOne A192-32X @ 128 Cores714212835SE +/- 0.06, N = 3SE +/- 0.02, N = 321.1231.971. (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: 60Ampere Altra Max M128-30AmpereOne A192-32X @ 128 Cores0.03260.06520.09780.13040.1630.1260.145
OpenBenchmarking.orgWatts, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Power Consumption MonitorAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores60120180240300Min: 24.92 / Avg: 167.73 / Max: 180.17Min: 107.31 / Avg: 220.33 / Max: 314.31. Ampere Altra Max M128-30: Approximate power consumption of 133903 Joules per run.2. AmpereOne A192-32X @ 128 Cores: Approximate power consumption of 183024 Joules per run.
OpenBenchmarking.orgWatts, Fewer Is BetterHigh Performance Conjugate Gradient 3.1System Power Consumption MonitorAmpere Altra Max M128-3070140210280350Min: 107 / Avg: 344.58 / Max: 3831. Ampere Altra Max M128-30: Approximate power consumption of 275202 Joules per run.

Timed Mesa Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Mesa Compilation 24.0Time To CompileAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores612182430SE +/- 0.15, N = 3SE +/- 0.11, N = 325.2417.50
MinAvgMaxAmpere Altra Max M128-3023.569.6175.2AmpereOne A192-32X @ 128 Cores103.2135.6290.9OpenBenchmarking.orgWatts, Fewer Is BetterTimed Mesa Compilation 24.0CPU Power Consumption Monitor701402102803501. Ampere Altra Max M128-30: Approximate power consumption of 1647 Joules per run.2. AmpereOne A192-32X @ 128 Cores: Approximate power consumption of 3209 Joules per run.
MinAvgMaxAmpere Altra Max M128-30110.0167.7351.0OpenBenchmarking.orgWatts, Fewer Is BetterTimed Mesa Compilation 24.0System Power Consumption Monitor1002003004005001. Ampere Altra Max M128-30: Approximate power consumption of 3970 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 OnlyAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores600K1200K1800K2400K3000KSE +/- 23414.77, N = 3SE +/- 38685.91, N = 3189320227135881. (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 LatencyAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores0.11880.23760.35640.47520.594SE +/- 0.007, N = 3SE +/- 0.005, N = 30.5280.3691. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
MinAvgMaxAmpere Altra Max M128-3023.4151.2184.8AmpereOne A192-32X @ 128 Cores103.0177.7197.0OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL 16CPU Power Consumption Monitor501001502002501. Ampere Altra Max M128-30: Approximate power consumption of 15320 Joules per run.2. AmpereOne A192-32X @ 128 Cores: Approximate power consumption of 25890 Joules per run.
MinAvgMaxAmpere Altra Max M128-30110.0313.1370.0OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL 16System Power Consumption Monitor1002003004005001. Ampere Altra Max M128-30: Approximate power consumption of 31732 Joules per run.

OpenFOAM

OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Mesh TimeAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores4080120160200200.81143.931. (CXX) g++ options: -std=c++14 -O3 -mcpu=native -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

srsRAN Project

srsRAN Project is a complete ORAN-native 5G RAN solution created by Software Radio Systems (SRS). The srsRAN Project radio suite was formerly known as srsLTE and can be used for building your own software-defined radio (SDR) 4G/5G mobile network. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMbps, More Is BettersrsRAN Project 23.10.1-20240325Test: PDSCH Processor Benchmark, Throughput TotalAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores4K8K12K16K20KSE +/- 23.30, N = 3SE +/- 45.75, N = 313735.118948.21. (CXX) g++ options: -O3 -fno-trapping-math -fno-math-errno -ldl
OpenBenchmarking.orgMbps Per Watt, More Is BettersrsRAN Project 23.10.1-20240325Test: PDSCH Processor Benchmark, Throughput TotalAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores2040608010084.7584.63
MinAvgMaxAmpere Altra Max M128-3022.3162.1209.9AmpereOne A192-32X @ 128 Cores102.9223.9256.5OpenBenchmarking.orgWatts, Fewer Is BettersrsRAN Project 23.10.1-20240325CPU Power Consumption Monitor701402102803501. Ampere Altra Max M128-30: Approximate power consumption of 3566 Joules per run.2. AmpereOne A192-32X @ 128 Cores: Approximate power consumption of 5373 Joules per run.
MinAvgMaxAmpere Altra Max M128-30108.0323.1382.0OpenBenchmarking.orgWatts, Fewer Is BettersrsRAN Project 23.10.1-20240325System Power Consumption Monitor1002003004005001. Ampere Altra Max M128-30: Approximate power consumption of 7109 Joules per run.

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample high resolution (currently 15400 x 6940) JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: SwirlAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores140280420560700SE +/- 1.45, N = 3SE +/- 1.76, N = 34936621. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lsharpyuv -lwebp -lwebpmux -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp
OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.43Operation: SwirlAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores0.95241.90482.85723.80964.7624.2333.291
MinAvgMaxAmpere Altra Max M128-3024.0116.5157.3AmpereOne A192-32X @ 128 Cores106.7201.1210.0OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.43CPU Power Consumption Monitor601201802403001. Ampere Altra Max M128-30: Approximate power consumption of 5473 Joules per run.2. AmpereOne A192-32X @ 128 Cores: Approximate power consumption of 12939 Joules per run.
MinAvgMaxAmpere Altra Max M128-30111.0271.6338.0OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.43System Power Consumption Monitor801602403204001. Ampere Altra Max M128-30: Approximate power consumption of 12764 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 digitAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores1326395265SE +/- 0.01, N = 3SE +/- 0.03, N = 357.7643.401. (CC) gcc options: -O2 -pthread
MinAvgMaxAmpere Altra Max M128-3025.4218.9241.0AmpereOne A192-32X @ 128 Cores105.9302.4325.1OpenBenchmarking.orgWatts, Fewer Is BetterHelsing 1.0-betaCPU Power Consumption Monitor801602403204001. Ampere Altra Max M128-30: Approximate power consumption of 9777 Joules per run.2. AmpereOne A192-32X @ 128 Cores: Approximate power consumption of 14316 Joules per run.
MinAvgMaxAmpere Altra Max M128-30109.0447.0513.0OpenBenchmarking.orgWatts, Fewer Is BetterHelsing 1.0-betaSystem Power Consumption Monitor1302603905206501. Ampere Altra Max M128-30: Approximate power consumption of 19968 Joules per run.

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 CompileAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores60120180240300SE +/- 3.33, N = 4SE +/- 0.87, N = 3271.23210.57
MinAvgMaxAmpere Altra Max M128-3023.591.4180.8AmpereOne A192-32X @ 128 Cores102.9146.6272.5OpenBenchmarking.orgWatts, Fewer Is BetterTimed Gem5 Compilation 23.0.1CPU Power Consumption Monitor701402102803501. Ampere Altra Max M128-30: Approximate power consumption of 18627 Joules per run.2. AmpereOne A192-32X @ 128 Cores: Approximate power consumption of 31613 Joules per run.
MinAvgMaxAmpere Altra Max M128-30109.0211.1365.0OpenBenchmarking.orgWatts, Fewer Is BetterTimed Gem5 Compilation 23.0.1System Power Consumption Monitor1002003004005001. Ampere Altra Max M128-30: Approximate power consumption of 43014 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 9.0Test: Random ReadAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores110M220M330M440M550MSE +/- 1771514.45, N = 3SE +/- 156369.77, N = 3392705598498075884-lpthread1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti
OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 9.0Test: Random ReadAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores400K800K1200K1600K2000K2095996.481646848.86
MinAvgMaxAmpere Altra Max M128-3023.6187.4206.2AmpereOne A192-32X @ 128 Cores104.4302.4318.1OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 9.0CPU Power Consumption Monitor801602403204001. Ampere Altra Max M128-30: Approximate power consumption of 8681 Joules per run.2. AmpereOne A192-32X @ 128 Cores: Approximate power consumption of 19356 Joules per run.
MinAvgMaxAmpere Altra Max M128-30125.0362.0410.0OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 9.0System Power Consumption Monitor1102203304405501. Ampere Altra Max M128-30: Approximate power consumption of 16771 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: SP.CAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores5K10K15K20K25KSE +/- 22.70, N = 3SE +/- 14.45, N = 320150.9125255.321. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.CAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores20406080100100.8897.23
MinAvgMaxAmpere Altra Max M128-3023.8199.8221.6AmpereOne A192-32X @ 128 Cores105.4259.7278.0OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor701402102803501. Ampere Altra Max M128-30: Approximate power consumption of 11586 Joules per run.2. AmpereOne A192-32X @ 128 Cores: Approximate power consumption of 16537 Joules per run.
MinAvgMaxAmpere Altra Max M128-30111.0404.2465.0OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4System Power Consumption Monitor1202403604806001. Ampere Altra Max M128-30: Approximate power consumption of 23443 Joules per run.

OpenFOAM

OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Mesh TimeAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores81624324033.6727.261. (CXX) g++ options: -std=c++14 -O3 -mcpu=native -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

QMCPACK

QMCPACK is a modern high-performance open-source Quantum Monte Carlo (QMC) simulation code making use of MPI for this benchmark of the H20 example code. QMCPACK is an open-source production level many-body ab initio Quantum Monte Carlo code for computing the electronic structure of atoms, molecules, and solids. QMCPACK is supported by the U.S. Department of Energy. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: Li2_STO_aeAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores306090120150SE +/- 0.28, N = 3SE +/- 0.64, N = 3134.83109.881. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -mcpu=native -O3 -lm -ldl
MinAvgMaxAmpere Altra Max M128-3030.3219.9239.6AmpereOne A192-32X @ 128 Cores105.8280.6295.6OpenBenchmarking.orgWatts, Fewer Is BetterQMCPACK 3.17.1CPU Power Consumption Monitor701402102803501. Ampere Altra Max M128-30: Approximate power consumption of 22429 Joules per run.2. AmpereOne A192-32X @ 128 Cores: Approximate power consumption of 32550 Joules per run.
MinAvgMaxAmpere Altra Max M128-30111.0437.2500.0OpenBenchmarking.orgWatts, Fewer Is BetterQMCPACK 3.17.1System Power Consumption Monitor1302603905206501. Ampere Altra Max M128-30: Approximate power consumption of 44590 Joules per run.

Parallel BZIP2 Compression

This test measures the time needed to compress a file (FreeBSD-13.0-RELEASE-amd64-memstick.img) using Parallel BZIP2 compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterParallel BZIP2 Compression 1.1.13FreeBSD-13.0-RELEASE-amd64-memstick.img CompressionAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores0.56661.13321.69982.26642.833SE +/- 0.025808, N = 15SE +/- 0.008019, N = 112.5183532.0548551. (CXX) g++ options: -O2 -pthread -lbz2 -lpthread
MinAvgMaxAmpere Altra Max M128-3024.459.172.3AmpereOne A192-32X @ 128 Cores104.5131.5232.8OpenBenchmarking.orgWatts, Fewer Is BetterParallel BZIP2 Compression 1.1.13CPU Power Consumption Monitor601201802403001. Ampere Altra Max M128-30: Approximate power consumption of 288 Joules per run.2. AmpereOne A192-32X @ 128 Cores: Approximate power consumption of 801 Joules per run.
MinAvgMaxAmpere Altra Max M128-30106.0165.3307.0OpenBenchmarking.orgWatts, Fewer Is BetterParallel BZIP2 Compression 1.1.13System Power Consumption Monitor801602403204001. Ampere Altra Max M128-30: Approximate power consumption of 815 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 BuckyballAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores60012001800240030002720.22239.11. (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 MonitorAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores60120180240300Min: 23.52 / Avg: 205.3 / Max: 236.09Min: 105.86 / Avg: 309.76 / Max: 330.97
OpenBenchmarking.orgWatts, Fewer Is BetterNWChem 7.0.2System Power Consumption MonitorAmpere Altra Max M128-3080160240320400Min: 111 / Avg: 405.79 / Max: 475

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample high resolution (currently 15400 x 6940) JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: Noise-GaussianAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores4080120160200SE +/- 0.00, N = 3SE +/- 0.67, N = 31682031. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lsharpyuv -lwebp -lwebpmux -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp
OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.43Operation: Noise-GaussianAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores0.44260.88521.32781.77042.2131.9671.311
MinAvgMaxAmpere Altra Max M128-3024.885.4107.5AmpereOne A192-32X @ 128 Cores105.3154.8177.1OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.43CPU Power Consumption Monitor501001502002501. Ampere Altra Max M128-30: Approximate power consumption of 4043 Joules per run.2. AmpereOne A192-32X @ 128 Cores: Approximate power consumption of 9959 Joules per run.
MinAvgMaxAmpere Altra Max M128-30111.0212.1310.0OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.43System Power Consumption Monitor801602403204001. Ampere Altra Max M128-30: Approximate power consumption of 9968 Joules per run.

ASTC Encoder

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

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: Very ThoroughAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores1.32332.64663.96995.29326.6165SE +/- 0.0006, N = 3SE +/- 0.0008, N = 35.88154.92951. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.7Preset: Very ThoroughAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores0.00790.01580.02370.03160.03950.0350.025
MinAvgMaxAmpere Altra Max M128-3023.0167.1199.8AmpereOne A192-32X @ 128 Cores105.3197.3214.7OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.7CPU Power Consumption Monitor601201802403001. Ampere Altra Max M128-30: Approximate power consumption of 6071 Joules per run.2. AmpereOne A192-32X @ 128 Cores: Approximate power consumption of 11312 Joules per run.
MinAvgMaxAmpere Altra Max M128-30109.0317.5384.0OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.7System Power Consumption Monitor1002003004005001. Ampere Altra Max M128-30: Approximate power consumption of 11643 Joules per run.

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: ThoroughAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores918273645SE +/- 0.01, N = 3SE +/- 0.01, N = 340.0633.791. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.7Preset: ThoroughAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores0.0740.1480.2220.2960.370.3290.197
MinAvgMaxAmpere Altra Max M128-3022.9121.8197.7AmpereOne A192-32X @ 128 Cores102.9171.3212.9OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.7CPU Power Consumption Monitor601201802403001. Ampere Altra Max M128-30: Approximate power consumption of 1949 Joules per run.2. AmpereOne A192-32X @ 128 Cores: Approximate power consumption of 3941 Joules per run.
MinAvgMaxAmpere Altra Max M128-30109.0237.0339.0OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.7System Power Consumption Monitor801602403204001. Ampere Altra Max M128-30: Approximate power consumption of 3791 Joules per run.

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: ExhaustiveAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores0.8191.6382.4573.2764.095SE +/- 0.0010, N = 3SE +/- 0.0004, N = 33.63983.07131. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.7Preset: ExhaustiveAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores0.0050.010.0150.020.0250.0220.016
MinAvgMaxAmpere Altra Max M128-3022.9165.5201.2AmpereOne A192-32X @ 128 Cores106.3196.4214.4OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.7CPU Power Consumption Monitor601201802403001. Ampere Altra Max M128-30: Approximate power consumption of 5849 Joules per run.2. AmpereOne A192-32X @ 128 Cores: Approximate power consumption of 10932 Joules per run.
MinAvgMaxAmpere Altra Max M128-30107.0321.1381.0OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.7System Power Consumption Monitor1002003004005001. Ampere Altra Max M128-30: Approximate power consumption of 11346 Joules per run.

LAMMPS Molecular Dynamics Simulator

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

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores1122334455SE +/- 0.04, N = 3SE +/- 0.08, N = 340.5848.091. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores0.04340.08680.13020.17360.2170.1930.183
MinAvgMaxAmpere Altra Max M128-3023.1210.5232.0AmpereOne A192-32X @ 128 Cores104.0263.0271.3OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022CPU Power Consumption Monitor701402102803501. Ampere Altra Max M128-30: Approximate power consumption of 33534 Joules per run.2. AmpereOne A192-32X @ 128 Cores: Approximate power consumption of 48925 Joules per run.
MinAvgMaxAmpere Altra Max M128-30110.0422.1463.0OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022System Power Consumption Monitor1202403604806001. Ampere Altra Max M128-30: Approximate power consumption of 67259 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 3.4Harness: Deconvolution Batch shapes_3d - Engine: CPUAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores0.64061.28121.92182.56243.203SE +/- 0.01134, N = 9SE +/- 0.00575, N = 92.846992.41716MIN: 2.65MIN: 2.31. (CXX) g++ options: -O3 -march=native -fopenmp -mcpu=generic -fPIC -pie -ldl -lpthread
MinAvgMaxAmpere Altra Max M128-3024.9109.0163.9AmpereOne A192-32X @ 128 Cores105.7160.1234.8OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.4CPU Power Consumption Monitor601201802403001. Ampere Altra Max M128-30: Approximate power consumption of 569 Joules per run.2. AmpereOne A192-32X @ 128 Cores: Approximate power consumption of 1138 Joules per run.
MinAvgMaxAmpere Altra Max M128-30108.0274.3488.0OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.4System Power Consumption Monitor1302603905206501. Ampere Altra Max M128-30: Approximate power consumption of 1432 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: BlowfishAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores30K60K90K120K150KSE +/- 1261.62, N = 3SE +/- 257.46, N = 3104564121100-lgmp1. (CC) gcc options: -lssl -lcrypto -fopenmp -lm -lrt -lz -ldl -lcrypt -lbz2
OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 2023.03.14Test: BlowfishAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores150300450600750699.32578.09
MinAvgMaxXeon 6766E 2P Full107.8445.0497.2Ampere Altra Max M128-3024.5151.3181.0AmpereOne A192-32X @ 128 Cores104.1209.5226.5OpenBenchmarking.orgWatts, Fewer Is BetterJohn The Ripper 2023.03.14CPU Power Consumption Monitor1302603905206501. Ampere Altra Max M128-30: Approximate power consumption of 3834 Joules per run.2. AmpereOne A192-32X @ 128 Cores: Approximate power consumption of 7192 Joules per run.
MinAvgMaxAmpere Altra Max M128-30107.0296.0335.0OpenBenchmarking.orgWatts, Fewer Is BetterJohn The Ripper 2023.03.14System Power Consumption Monitor801602403204001. Ampere Altra Max M128-30: Approximate power consumption of 7499 Joules per run.

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: bcryptAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores30K60K90K120K150KSE +/- 554.70, N = 3SE +/- 376.38, N = 3105864120886-lgmp1. (CC) gcc options: -lssl -lcrypto -fopenmp -lm -lrt -lz -ldl -lcrypt -lbz2
OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 2023.03.14Test: bcryptAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores150300450600750699.57574.11

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 9.0Test: Read While WritingAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores2M4M6M8M10MSE +/- 73738.22, N = 3SE +/- 119192.66, N = 396576108460095-lpthread1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti
OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 9.0Test: Read While WritingAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores11K22K33K44K55K53534.8043350.49
MinAvgMaxAmpere Altra Max M128-3023.5180.4207.0AmpereOne A192-32X @ 128 Cores107.0195.2224.6OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 9.0CPU Power Consumption Monitor601201802403001. Ampere Altra Max M128-30: Approximate power consumption of 8539 Joules per run.2. AmpereOne A192-32X @ 128 Cores: Approximate power consumption of 12555 Joules per run.
MinAvgMaxAmpere Altra Max M128-30107.0363.8427.0OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 9.0System Power Consumption Monitor1102203304405501. Ampere Altra Max M128-30: Approximate power consumption of 17219 Joules per run.

PyTorch

This is a benchmark of PyTorch making use of pytorch-benchmark [https://github.com/LukasHedegaard/pytorch-benchmark]. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 512 - Model: ResNet-50Ampere Altra Max M128-30AmpereOne A192-32X @ 128 Cores612182430SE +/- 0.15, N = 3SE +/- 0.22, N = 321.1324.06MIN: 3.38 / MAX: 24.6MIN: 20.95 / MAX: 24.81
OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 512 - Model: ResNet-50Ampere Altra Max M128-30AmpereOne A192-32X @ 128 Cores0.02390.04780.07170.09560.11950.1060.102
MinAvgMaxAmpere Altra Max M128-3044.1199.3220.4AmpereOne A192-32X @ 128 Cores103.2235.8254.4OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.2.1CPU Power Consumption Monitor701402102803501. Ampere Altra Max M128-30: Approximate power consumption of 14879 Joules per run.2. AmpereOne A192-32X @ 128 Cores: Approximate power consumption of 21142 Joules per run.
MinAvgMaxAmpere Altra Max M128-30138.0395.1429.0OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.2.1System Power Consumption Monitor1102203304405501. Ampere Altra Max M128-30: Approximate power consumption of 29501 Joules per run.

GROMACS

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

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2024Implementation: MPI CPU - Input: water_GMX50_bareAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores1.17142.34283.51424.68565.857SE +/- 0.001, N = 3SE +/- 0.001, N = 34.5885.2061. (CXX) g++ options: -O3 -lm
OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2024Implementation: MPI CPU - Input: water_GMX50_bareAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores0.00590.01180.01770.02360.02950.0260.023
MinAvgMaxAmpere Altra Max M128-3025.4177.6226.2AmpereOne A192-32X @ 128 Cores105.7226.5308.3OpenBenchmarking.orgWatts, Fewer Is BetterGROMACS 2024CPU Power Consumption Monitor801602403204001. Ampere Altra Max M128-30: Approximate power consumption of 6985 Joules per run.2. AmpereOne A192-32X @ 128 Cores: Approximate power consumption of 11100 Joules per run.
MinAvgMaxAmpere Altra Max M128-30111.0361.8446.0OpenBenchmarking.orgWatts, Fewer Is BetterGROMACS 2024System Power Consumption Monitor1202403604806001. Ampere Altra Max M128-30: Approximate power consumption of 14352 Joules per run.

srsRAN Project

srsRAN Project is a complete ORAN-native 5G RAN solution created by Software Radio Systems (SRS). The srsRAN Project radio suite was formerly known as srsLTE and can be used for building your own software-defined radio (SDR) 4G/5G mobile network. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMbps, More Is BettersrsRAN Project 23.10.1-20240325Test: PUSCH Processor Benchmark, Throughput TotalAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores400800120016002000SE +/- 1.41, N = 3SE +/- 0.10, N = 31665.31883.4MIN: 966.6 / MAX: 1667.1MIN: 1131.8 / MAX: 1883.51. (CXX) g++ options: -O3 -fno-trapping-math -fno-math-errno -ldl
OpenBenchmarking.orgMbps Per Watt, More Is BettersrsRAN Project 23.10.1-20240325Test: PUSCH Processor Benchmark, Throughput TotalAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores4812162015.9411.90
MinAvgMaxAmpere Altra Max M128-3023.8104.4137.8AmpereOne A192-32X @ 128 Cores105.6158.2168.7OpenBenchmarking.orgWatts, Fewer Is BettersrsRAN Project 23.10.1-20240325CPU Power Consumption Monitor501001502002501. Ampere Altra Max M128-30: Approximate power consumption of 4770 Joules per run.2. AmpereOne A192-32X @ 128 Cores: Approximate power consumption of 8492 Joules per run.
MinAvgMaxAmpere Altra Max M128-30108.0215.3247.0OpenBenchmarking.orgWatts, Fewer Is BettersrsRAN Project 23.10.1-20240325System Power Consumption Monitor601201802403001. Ampere Altra Max M128-30: Approximate power consumption of 9831 Joules per run.

Speedb

Speedb is a next-generation key value storage engine that is RocksDB compatible and aiming for stability, efficiency, and performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Random ReadAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores110M220M330M440M550MSE +/- 4527393.51, N = 15SE +/- 114538.19, N = 3449180423507348157-lpthread1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti
OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Random ReadAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores500K1000K1500K2000K2500K2263284.731699214.92
MinAvgMaxAmpere Altra Max M128-3023.7198.5217.0AmpereOne A192-32X @ 128 Cores105.2298.6314.9OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor801602403204001. Ampere Altra Max M128-30: Approximate power consumption of 9182 Joules per run.2. AmpereOne A192-32X @ 128 Cores: Approximate power consumption of 19209 Joules per run.
MinAvgMaxAmpere Altra Max M128-30107.0383.0441.0OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7System Power Consumption Monitor1202403604806001. Ampere Altra Max M128-30: Approximate power consumption of 17747 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: Decompression RatingAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores130K260K390K520K650KSE +/- 2136.24, N = 3SE +/- 5325.21, N = 35368816015531. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
OpenBenchmarking.orgMIPS Per Watt, More Is Better7-Zip Compression 22.01Test: Decompression RatingAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores80016002400320040003914.702647.44
MinAvgMaxAmpere Altra Max M128-3024.7137.1189.8AmpereOne A192-32X @ 128 Cores105.6227.2277.4OpenBenchmarking.orgWatts, Fewer Is Better7-Zip Compression 22.01CPU Power Consumption Monitor701402102803501. Ampere Altra Max M128-30: Approximate power consumption of 3840 Joules per run.2. AmpereOne A192-32X @ 128 Cores: Approximate power consumption of 6514 Joules per run.
MinAvgMaxAmpere Altra Max M128-30110.0283.3391.0OpenBenchmarking.orgWatts, Fewer Is Better7-Zip Compression 22.01System Power Consumption Monitor1002003004005001. Ampere Altra Max M128-30: Approximate power consumption of 8027 Joules per run.

m-queens

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

OpenBenchmarking.orgSeconds, Fewer Is Betterm-queens 1.2Time To SolveAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores246810SE +/- 0.004, N = 5SE +/- 0.019, N = 68.4147.9131. (CXX) g++ options: -fopenmp -O2 -march=native
MinAvgMaxAmpere Altra Max M128-3023.8118.3178.7AmpereOne A192-32X @ 128 Cores106.9210.1268.3OpenBenchmarking.orgWatts, Fewer Is Betterm-queens 1.2CPU Power Consumption Monitor701402102803501. Ampere Altra Max M128-30: Approximate power consumption of 1065 Joules per run.2. AmpereOne A192-32X @ 128 Cores: Approximate power consumption of 2522 Joules per run.
MinAvgMaxAmpere Altra Max M128-30111.0232.8331.0OpenBenchmarking.orgWatts, Fewer Is Betterm-queens 1.2System Power Consumption Monitor801602403204001. Ampere Altra Max M128-30: Approximate power consumption of 2096 Joules per run.

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample high resolution (currently 15400 x 6940) JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: SharpenAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores70140210280350SE +/- 0.88, N = 3SE +/- 2.60, N = 32943081. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lsharpyuv -lwebp -lwebpmux -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp
OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.43Operation: SharpenAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores0.39080.78161.17241.56321.9541.7371.333
MinAvgMaxAmpere Altra Max M128-3024.7169.3251.8AmpereOne A192-32X @ 128 Cores106.5231.0259.0OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.43CPU Power Consumption Monitor701402102803501. Ampere Altra Max M128-30: Approximate power consumption of 7900 Joules per run.2. AmpereOne A192-32X @ 128 Cores: Approximate power consumption of 14786 Joules per run.
MinAvgMaxAmpere Altra Max M128-30106.0376.2459.0OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.43System Power Consumption Monitor1202403604806001. Ampere Altra Max M128-30: Approximate power consumption of 17430 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 SecondAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores600K1200K1800K2400K3000KSE +/- 1038.03, N = 3SE +/- 12021.71, N = 32830050.392717686.051. (CC) gcc options: -O2 -lrt" -lrt
OpenBenchmarking.orgIterations/Sec Per Watt, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores6K12K18K24K30K27211.3314202.13
MinAvgMaxAmpere Altra Max M128-3023.9104.0164.6AmpereOne A192-32X @ 128 Cores107.0191.4244.8OpenBenchmarking.orgWatts, Fewer Is BetterCoremark 1.0CPU Power Consumption Monitor601201802403001. Ampere Altra Max M128-30: Approximate power consumption of 1699 Joules per run.2. AmpereOne A192-32X @ 128 Cores: Approximate power consumption of 5741 Joules per run.
MinAvgMaxAmpere Altra Max M128-30111.0217.9309.0OpenBenchmarking.orgWatts, Fewer Is BetterCoremark 1.0System Power Consumption Monitor801602403204001. Ampere Altra Max M128-30: Approximate power consumption of 3632 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: EP.DAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores11002200330044005500SE +/- 5.54, N = 3SE +/- 24.16, N = 35253.255087.141. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores81624324032.3727.05
MinAvgMaxAmpere Altra Max M128-3024.8162.3197.9AmpereOne A192-32X @ 128 Cores105.4188.1296.3OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor701402102803501. Ampere Altra Max M128-30: Approximate power consumption of 3732 Joules per run.2. AmpereOne A192-32X @ 128 Cores: Approximate power consumption of 6206 Joules per run.
MinAvgMaxAmpere Altra Max M128-30111.0324.5387.0OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4System Power Consumption Monitor1002003004005001. Ampere Altra Max M128-30: Approximate power consumption of 7463 Joules per run.

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample high resolution (currently 15400 x 6940) JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: EnhancedAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores60120180240300SE +/- 0.88, N = 3SE +/- 0.33, N = 32582531. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lsharpyuv -lwebp -lwebpmux -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp
OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.43Operation: EnhancedAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores0.43470.86941.30411.73882.17351.9321.300
MinAvgMaxAmpere Altra Max M128-3023.6133.5150.9AmpereOne A192-32X @ 128 Cores104.4194.6205.1OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.43CPU Power Consumption Monitor601201802403001. Ampere Altra Max M128-30: Approximate power consumption of 6231 Joules per run.2. AmpereOne A192-32X @ 128 Cores: Approximate power consumption of 12517 Joules per run.
MinAvgMaxAmpere Altra Max M128-30110.0272.6318.0OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.43System Power Consumption Monitor801602403204001. Ampere Altra Max M128-30: Approximate power consumption of 12721 Joules per run.

WRF

WRF, the Weather Research and Forecasting Model, is a "next-generation mesoscale numerical weather prediction system designed for both atmospheric research and operational forecasting applications. It features two dynamical cores, a data assimilation system, and a software architecture supporting parallel computation and system extensibility." Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWRF 4.2.2Input: conus 2.5kmAmpereOne A192-32X @ 128 Cores2K4K6K8K10K9608.641. (F9X) gfortran options: -O2 -ftree-vectorize -funroll-loops -ffree-form -fconvert=big-endian -frecord-marker=4 -fallow-invalid-boz -lesmf_time -lwrfio_nf -lnetcdff -lnetcdf -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
OpenBenchmarking.orgWatts, Fewer Is BetterWRF 4.2.2CPU Power Consumption MonitorAmpereOne A192-32X @ 128 Cores60120180240300Min: 105.92 / Avg: 234.54 / Max: 339.6

Input: conus 2.5km

Ampere Altra Max M128-30: The test quit with a non-zero exit status. E: mpirun noticed that process rank 2 with PID 0 on node ampere exited on signal 9 (Killed).

System Power Consumption Monitor

OpenBenchmarking.orgWattsSystem Power Consumption MonitorPhoronix Test Suite System MonitoringAmpere Altra Max M128-30110220330440550Min: 106 / Avg: 342.07 / Max: 599

Stockfish

OpenBenchmarking.orgWatts, Fewer Is BetterStockfish 16.1System Power Consumption MonitorAmpere Altra Max M128-30110220330440550Min: 145 / Avg: 501.12 / Max: 599

Xcompact3d Incompact3d

MinAvgMaxAmpere Altra Max M128-30111.0282.6335.0OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11System Power Consumption Monitor80160240320400

Pennant

MinAvgMaxAmpere Altra Max M128-30133.0321.0390.0OpenBenchmarking.orgWatts, Fewer Is BetterPennant 1.0.1System Power Consumption Monitor100200300400500

MinAvgMaxAmpere Altra Max M128-30134.0319.7403.0OpenBenchmarking.orgWatts, Fewer Is BetterPennant 1.0.1System Power Consumption Monitor110220330440550

LAMMPS Molecular Dynamics Simulator

MinAvgMaxAmpere Altra Max M128-30111.0178.5328.0OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022System Power Consumption Monitor80160240320400

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores60120180240300Min: 21.22 / Avg: 166.68 / Max: 252.63Min: 102.86 / Avg: 218.23 / Max: 339.6

Stockfish

OpenBenchmarking.orgWatts, Fewer Is BetterStockfish 16.1CPU Power Consumption MonitorAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores60120180240300Min: 24.78 / Avg: 232.37 / Max: 252.63Min: 107.78 / Avg: 253.44 / Max: 307.14

OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterStockfish 16.1Chess BenchmarkAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores80K160K240K320K400K254660.82354762.40

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 16.1Chess BenchmarkAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores20M40M60M80M100MSE +/- 1437910.44, N = 12SE +/- 2128472.89, N = 1259175410899115721. (CXX) g++ options: -lgcov -lpthread -fno-exceptions -std=c++17 -fno-peel-loops -fno-tracer -pedantic -O3 -funroll-loops -flto -flto-partition=one -flto=jobserver
OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterStockfish 16.1Chess BenchmarkAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores80K160K240K320K400K254660.82354762.40
OpenBenchmarking.orgWatts, Fewer Is BetterStockfish 16.1CPU Power Consumption MonitorAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores60120180240300Min: 24.78 / Avg: 232.37 / Max: 252.63Min: 107.78 / Avg: 253.44 / Max: 307.141. Ampere Altra Max M128-30: Approximate power consumption of 32842 Joules per run.2. AmpereOne A192-32X @ 128 Cores: Approximate power consumption of 32821 Joules per run.
OpenBenchmarking.orgWatts, Fewer Is BetterStockfish 16.1System Power Consumption MonitorAmpere Altra Max M128-30110220330440550Min: 145 / Avg: 501.12 / Max: 5991. Ampere Altra Max M128-30: Approximate power consumption of 70867 Joules per run.

Xcompact3d Incompact3d

MinAvgMaxAmpere Altra Max M128-3024.7134.1169.3AmpereOne A192-32X @ 128 Cores106.4193.7254.3OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption Monitor70140210280350

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per DirectionAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores612182430SE +/- 0.01, N = 3SE +/- 0.22, N = 1224.6210.211. (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
MinAvgMaxAmpere Altra Max M128-3024.7134.1169.3AmpereOne A192-32X @ 128 Cores106.4193.7254.3OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption Monitor701402102803501. Ampere Altra Max M128-30: Approximate power consumption of 2995 Joules per run.2. AmpereOne A192-32X @ 128 Cores: Approximate power consumption of 3244 Joules per run.
MinAvgMaxAmpere Altra Max M128-30111.0282.6335.0OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11System Power Consumption Monitor801602403204001. Ampere Altra Max M128-30: Approximate power consumption of 6218 Joules per run.

Pennant

MinAvgMaxAmpere Altra Max M128-3041.6156.5193.5AmpereOne A192-32X @ 128 Cores105.3177.7261.9OpenBenchmarking.orgWatts, Fewer Is BetterPennant 1.0.1CPU Power Consumption Monitor70140210280350

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores510152025SE +/- 2.019554, N = 12SE +/- 0.034211, N = 622.7763106.0606201. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi
MinAvgMaxAmpere Altra Max M128-3041.6156.5193.5AmpereOne A192-32X @ 128 Cores105.3177.7261.9OpenBenchmarking.orgWatts, Fewer Is BetterPennant 1.0.1CPU Power Consumption Monitor701402102803501. Ampere Altra Max M128-30: Approximate power consumption of 3196 Joules per run.2. AmpereOne A192-32X @ 128 Cores: Approximate power consumption of 2132 Joules per run.
MinAvgMaxAmpere Altra Max M128-30133.0321.0390.0OpenBenchmarking.orgWatts, Fewer Is BetterPennant 1.0.1System Power Consumption Monitor1002003004005001. Ampere Altra Max M128-30: Approximate power consumption of 6554 Joules per run.

MinAvgMaxAmpere Altra Max M128-3044.5160.6196.8AmpereOne A192-32X @ 128 Cores105.5167.1299.8OpenBenchmarking.orgWatts, Fewer Is BetterPennant 1.0.1CPU Power Consumption Monitor80160240320400

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores612182430SE +/- 0.740270, N = 14SE +/- 0.149446, N = 1225.0801304.7802151. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi
MinAvgMaxAmpere Altra Max M128-3044.5160.6196.8AmpereOne A192-32X @ 128 Cores105.5167.1299.8OpenBenchmarking.orgWatts, Fewer Is BetterPennant 1.0.1CPU Power Consumption Monitor801602403204001. Ampere Altra Max M128-30: Approximate power consumption of 3568 Joules per run.2. AmpereOne A192-32X @ 128 Cores: Approximate power consumption of 1796 Joules per run.
MinAvgMaxAmpere Altra Max M128-30134.0319.7403.0OpenBenchmarking.orgWatts, Fewer Is BetterPennant 1.0.1System Power Consumption Monitor1102203304405501. Ampere Altra Max M128-30: Approximate power consumption of 7080 Joules per run.

LAMMPS Molecular Dynamics Simulator

MinAvgMaxAmpere Altra Max M128-3023.669.4107.1AmpereOne A192-32X @ 128 Cores104.7136.6308.0OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022CPU Power Consumption Monitor80160240320400

OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin ProteinAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores0.12870.25740.38610.51480.64350.5720.335

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin ProteinAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores1020304050SE +/- 1.46, N = 15SE +/- 1.42, N = 1539.6645.751. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin ProteinAmpere Altra Max M128-30AmpereOne A192-32X @ 128 Cores0.12870.25740.38610.51480.64350.5720.335
MinAvgMaxAmpere Altra Max M128-3023.669.4107.1AmpereOne A192-32X @ 128 Cores104.7136.6308.0OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022CPU Power Consumption Monitor801602403204001. Ampere Altra Max M128-30: Approximate power consumption of 384 Joules per run.2. AmpereOne A192-32X @ 128 Cores: Approximate power consumption of 938 Joules per run.
MinAvgMaxAmpere Altra Max M128-30111.0178.5328.0OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022System Power Consumption Monitor801602403204001. Ampere Altra Max M128-30: Approximate power consumption of 1000 Joules per run.

Ampere Altra Max M128-30

Processor: ARMv8 Neoverse-N1 @ 3.00GHz (128 Cores), Motherboard: GIGABYTE G242-P36-00 MP32-AR2-00 v01000100 (F31k SCP: 2.10.20220531 BIOS), Chipset: Ampere Computing LLC Altra PCI Root Complex A, Memory: 16 x 32GB DDR4-3200MT/s Samsung M393A4K40DB3-CWE, Disk: 800GB Micron_7450_MTFDKBA800TFS, Graphics: ASPEED, Network: 2 x Intel I350

OS: Ubuntu 24.04, Kernel: 6.8.0-39-generic (aarch64), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1024x768

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-dIwDw0/gcc-13-13.2.0/debian/tmp-nvptx/usr --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto --without-cuda-driver -v
Processor Notes: Scaling Governor: cppc_cpufreq performance (Boost: Disabled)
Python Notes: Python 3.12.2
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 25 August 2024 16:14 by user phoronix.

AmpereOne A192-32X @ 128 Cores

Processor: AmpereOne @ 3.20GHz (128 Cores), Motherboard: Supermicro ARS-211M-NR R13SPD v1.02 (T20240726102529 BIOS), Chipset: Ampere Computing LLC Device e208, Memory: 8 x 64GB DDR5-5200MT/s, Disk: 3841GB SAMSUNG MZQL23T8HCLS-00A07 + 960GB SAMSUNG MZ1L2960HCJR-00A07, Graphics: ASPEED, Monitor: VGA HDMI, Network: 2 x Broadcom BCM57414 NetXtreme-E 10Gb/25Gb + 2 x Mellanox MT2892

OS: Ubuntu 24.04, Kernel: 6.8.0-39-generic-64k (aarch64), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1080

Kernel Notes: Transparent Huge Pages: always
Compiler Notes: --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-dIwDw0/gcc-13-13.2.0/debian/tmp-nvptx/usr --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto --without-cuda-driver -v
Processor Notes: Scaling Governor: cppc_cpufreq performance (Boost: Disabled)
Python Notes: Python 3.12.3
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 + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Not affected + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 26 August 2024 18:47 by user ubuntu.