AMD EPYC 9965 Turin Dense vs. AmpereOne ARM 192-Core CPU Benchmarks

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 2410103-NE-AMPEREONE62
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AmpereOne A192-32X
August 25
  6 Hours, 27 Minutes
EPYC 9965
October 04
  4 Hours, 33 Minutes
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AmpereOne A192-32X

Processor: AmpereOne @ 3.20GHz (192 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

EPYC 9965

Processor: AMD EPYC 9965 192-Core @ 2.25GHz (192 Cores / 384 Threads), Motherboard: AMD VOLCANO (RVOT1000D BIOS), Chipset: AMD Device 153a, Memory: 12 x 64GB DDR5-6000MT/s Samsung M321R8GA0PB1-CCPKC, Disk: 2 x 1920GB KIOXIA KCD8XPUG1T92, Graphics: ASPEED, Network: Broadcom NetXtreme BCM5720 PCIe

OS: Ubuntu 24.04, Kernel: 6.10.0-phx (x86_64), 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-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-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-OiuXZC/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-OiuXZC/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-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: 0xb101018
Java Notes: OpenJDK Runtime Environment (build 21.0.3-ea+7-Ubuntu-1build1)
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 + reg_file_data_sampling: 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; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected

AMD EPYC 9965 Turin Dense vs. AmpereOne ARM 192-Core CPU BenchmarksProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelCompilerFile-SystemScreen ResolutionAmpereOne A192-32XEPYC 9965AmpereOne @ 3.20GHz (192 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-00A07ASPEEDVGA HDMI2 x Broadcom BCM57414 NetXtreme-E 10Gb/25Gb + 2 x Mellanox MT2892Ubuntu 24.046.8.0-39-generic-64k (aarch64)GCC 13.2.0ext41920x1080AMD EPYC 9965 192-Core @ 2.25GHz (192 Cores / 384 Threads)AMD VOLCANO (RVOT1000D BIOS)AMD Device 153a12 x 64GB DDR5-6000MT/s Samsung M321R8GA0PB1-CCPKC2 x 1920GB KIOXIA KCD8XPUG1T92Broadcom NetXtreme BCM5720 PCIe6.10.0-phx (x86_64)1920x1200OpenBenchmarking.orgKernel Details- AmpereOne A192-32X: Transparent Huge Pages: always- EPYC 9965: Transparent Huge Pages: madviseCompiler Details- AmpereOne A192-32X: --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 - EPYC 9965: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --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-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-OiuXZC/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-OiuXZC/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-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 Details- AmpereOne A192-32X: Scaling Governor: cppc_cpufreq performance (Boost: Disabled)- EPYC 9965: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xb101018Python Details- AmpereOne A192-32X: Python 3.12.3- EPYC 9965: Python 3.12.2Security Details- AmpereOne A192-32X: 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 - EPYC 9965: 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: 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; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected Java Details- EPYC 9965: OpenJDK Runtime Environment (build 21.0.3-ea+7-Ubuntu-1build1)

AmpereOne A192-32X vs. EPYC 9965 ComparisonPhoronix Test SuiteBaseline+88.6%+88.6%+177.2%+177.2%+265.8%+265.8%354.4%228.8%216.5%210.4%206.4%181.5%157.4%154.5%151.1%143.5%137.7%122.9%122.1%119%88.3%86.5%84.5%82%81.8%78.9%78.1%70.3%62.8%58.7%49%47.9%40.8%39.1%37%33.8%33.3%33.1%32.1%27.7%24%20.8%14.2%13.8%13%12.7%10.8%8.9%SP.CMPI CPU - water_GMX50_bareP.P.B.T.TIS.DD.B.s - CPUChess BenchmarkThoroughVery ThoroughExhaustivetConvolve MPI - GriddingEP.DtConvolve MPI - DegriddingbcryptBlowfishMulti-ThreadedRead While WritingF.1.0.R.a.m.i.C144 144 144 - 60Time To Compiled.M.M.S - Execution TimeNinjaSmallconus 2.5kmCarbon NanotubeX.b.i.ileblancbigTime To Compilei.i.1.C.P.DEnhancedRand ReadCompression RatingRand Read14 digit30.5%d.S.M.S - Execution Time20k AtomsNoise-Gaussian20.7%GhostRider - 1M15.3%D.R1e1314%Time To SolveLi2_STO_aesedovbigTime To CompileRhodopsin ProteinCoreMark Size 666 - I.P.S7.4%Swirl6.7%Sharpen5.4%NAS Parallel BenchmarksGROMACSsrsRAN ProjectNAS Parallel BenchmarksoneDNNStockfishASTC EncoderASTC EncoderASTC EncoderASKAPNAS Parallel BenchmarksASKAPJohn The RipperJohn The RipperQuantLibRocksDBParallel BZIP2 CompressionHigh Performance Conjugate GradientTimed Node.js CompilationOpenFOAMTimed LLVM CompilationminiFEAlgebraic Multi-Grid BenchmarkWRFGPAWXcompact3d Incompact3dPennantTimed Gem5 CompilationXcompact3d Incompact3dGraphicsMagickRocksDB7-Zip CompressionSpeedbHelsingOpenFOAMLAMMPS Molecular Dynamics SimulatorGraphicsMagickLULESHXmrig7-Zip CompressionPrimesievem-queensQMCPACKPennantTimed Mesa CompilationLAMMPS Molecular Dynamics SimulatorCoremarkGraphicsMagickGraphicsMagickAmpereOne A192-32XEPYC 9965

AMD EPYC 9965 Turin Dense vs. AmpereOne ARM 192-Core CPU Benchmarksbuild-nodejs: Time To Compilebuild-gem5: Time To Compilebuild-llvm: Ninjabuild-mesa: Time To Compilejohn-the-ripper: Blowfishjohn-the-ripper: bcryptrocksdb: Rand Readrocksdb: Read While Writingspeedb: Rand Readcoremark: CoreMark Size 666 - Iterations Per Secondamg: wrf: conus 2.5kmlulesh: lammps: Rhodopsin Proteinlammps: 20k Atomsm-queens: Time To Solveminife: Smallaskap: tConvolve MPI - Degriddingaskap: tConvolve MPI - Griddinggromacs: MPI CPU - water_GMX50_barequantlib: Multi-Threadedqmcpack: Li2_STO_aegpaw: Carbon Nanotubehpcg: 144 144 144 - 60pennant: leblancbigpennant: sedovbignpb: EP.Dnpb: SP.Cnpb: IS.Dincompact3d: input.i3d 193 Cells Per Directionincompact3d: X3D-benchmarking input.i3dopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Medium Mesh Size - Execution Timecompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingcompress-pbzip2: FreeBSD-13.0-RELEASE-amd64-memstick.img Compressionastcenc: Thoroughastcenc: Very Thoroughastcenc: Exhaustivegraphics-magick: Noise-Gaussiangraphics-magick: Enhancedgraphics-magick: Sharpengraphics-magick: Swirlsrsran: PUSCH Processor Benchmark, Throughput Totalonednn: Deconvolution Batch shapes_3d - CPUxmrig: GhostRider - 1Mhelsing: 14 digitstockfish: Chess Benchmarkprimesieve: 1e13AmpereOne A192-32XEPYC 9965214.155195.568177.10417.19217630617404871920337198037107344016354561177.33617018282653339102.31841890.40750.53553.8595.35738349.220809.218414.77.039300839.9106.9141.06033.36173.3494394.2905867557.7233612.412417.048.95581484290.28072132.358871315.655877566818773051.64448550.02327.37484.59302453704699532824.72.0162917812.630.47312860213614.010117.822140.59399.43315.511386082386474958354064182800039698907394247085.81199329763450005735.24134694.14655.01966.7734.70865294.546390.544845.223.142566481.494.59127.56060.70372.3795133.80696517965.55152747.877503.016.53937655196.31866525.336945176.39806100715010018580.891238128.756218.771311.53122964954458938940.90.65815415447.639.76536200717815.976OpenBenchmarking.org

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 CompileEPYC 9965AmpereOne A192-32X50100150200250SE +/- 0.70, N = 3SE +/- 0.34, N = 3117.82214.16
OpenBenchmarking.orgWatts, Fewer Is BetterTimed Node.js Compilation 21.7.2CPU Power Consumption MonitorAmpereOne A192-32XEPYC 996570140210280350Min: 102.28 / Avg: 196.52 / Max: 374.67Min: 37.91 / Avg: 257.75 / Max: 406.91. AmpereOne A192-32X: Approximate power consumption of 36684 Joules per run.2. EPYC 9965: Approximate power consumption of 32304 Joules per run.
OpenBenchmarking.orgSeconds x Dollar, Fewer Is BetterTimed Node.js Compilation 21.7.2Performance / Cost - Time To CompileAmpereOne A192-32XEPYC 9965400K800K1200K1600K2000K1189631.031745297.291. AmpereOne A192-32X: $5555 reported cost.2. EPYC 9965: $14813 reported cost.

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 9965AmpereOne A192-32X4080120160200SE +/- 1.20, N = 3SE +/- 0.58, N = 3140.59195.57
OpenBenchmarking.orgWatts, Fewer Is BetterTimed Gem5 Compilation 23.0.1CPU Power Consumption MonitorAmpereOne A192-32XEPYC 996570140210280350Min: 101.68 / Avg: 148.16 / Max: 334.89Min: 37.8 / Avg: 163.63 / Max: 402.391. AmpereOne A192-32X: Approximate power consumption of 25335 Joules per run.2. EPYC 9965: Approximate power consumption of 23835 Joules per run.
OpenBenchmarking.orgSeconds x Dollar, Fewer Is BetterTimed Gem5 Compilation 23.0.1Performance / Cost - Time To CompileAmpereOne A192-32XEPYC 9965400K800K1200K1600K2000K1086380.242082604.111. AmpereOne A192-32X: $5555 reported cost.2. EPYC 9965: $14813 reported cost.

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 9965AmpereOne A192-32X4080120160200SE +/- 0.77, N = 3SE +/- 0.57, N = 399.43177.10
OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 16.0CPU Power Consumption MonitorAmpereOne A192-32XEPYC 996570140210280350Min: 101.75 / Avg: 183.19 / Max: 347.18Min: 38.23 / Avg: 254.04 / Max: 404.431. AmpereOne A192-32X: Approximate power consumption of 29983 Joules per run.2. EPYC 9965: Approximate power consumption of 28707 Joules per run.
OpenBenchmarking.orgSeconds x Dollar, Fewer Is BetterTimed LLVM Compilation 16.0Performance / Cost - Build System: NinjaAmpereOne A192-32XEPYC 9965300K600K900K1200K1500K983812.721472901.031. AmpereOne A192-32X: $5555 reported cost.2. EPYC 9965: $14813 reported cost.

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 CompileEPYC 9965AmpereOne A192-32X48121620SE +/- 0.07, N = 4SE +/- 0.07, N = 315.5117.19
OpenBenchmarking.orgWatts, Fewer Is BetterTimed Mesa Compilation 24.0CPU Power Consumption MonitorEPYC 9965AmpereOne A192-32X70140210280350Min: 37.92 / Avg: 125.14 / Max: 379.26Min: 101.84 / Avg: 135.79 / Max: 362.851. EPYC 9965: Approximate power consumption of 2597 Joules per run.2. AmpereOne A192-32X: Approximate power consumption of 2716 Joules per run.
OpenBenchmarking.orgSeconds x Dollar, Fewer Is BetterTimed Mesa Compilation 24.0Performance / Cost - Time To CompileAmpereOne A192-32XEPYC 996550K100K150K200K250K95501.56229764.441. AmpereOne A192-32X: $5555 reported cost.2. EPYC 9965: $14813 reported cost.

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: BlowfishEPYC 9965AmpereOne A192-32X80K160K240K320K400KSE +/- 201.40, N = 3SE +/- 564.17, N = 3386082176306-m64 -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: BlowfishEPYC 9965AmpereOne A192-32X20040060080010001128.50668.04
OpenBenchmarking.orgWatts, Fewer Is BetterJohn The Ripper 2023.03.14CPU Power Consumption MonitorAmpereOne A192-32XEPYC 996570140210280350Min: 106.28 / Avg: 259.83 / Max: 288.18Min: 38.39 / Avg: 341.67 / Max: 386.741. AmpereOne A192-32X: Approximate power consumption of 7535 Joules per run.2. EPYC 9965: Approximate power consumption of 11617 Joules per run.
OpenBenchmarking.orgReal C/S Per Dollar, More Is BetterJohn The Ripper 2023.03.14Performance / Cost - Test: BlowfishAmpereOne A192-32XEPYC 996571421283531.7426.061. AmpereOne A192-32X: $5555 reported cost.2. EPYC 9965: $14813 reported cost.

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: bcryptEPYC 9965AmpereOne A192-32X80K160K240K320K400KSE +/- 8.33, N = 3SE +/- 1839.06, N = 3386474174048-m64 -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: bcryptEPYC 9965AmpereOne A192-32X20040060080010001127.52669.85
OpenBenchmarking.orgReal C/S Per Dollar, More Is BetterJohn The Ripper 2023.03.14Performance / Cost - Test: bcryptAmpereOne A192-32XEPYC 996571421283531.3326.091. AmpereOne A192-32X: $5555 reported cost.2. EPYC 9965: $14813 reported cost.

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 ReadEPYC 9965AmpereOne A192-32X200M400M600M800M1000MSE +/- 1700402.40, N = 3SE +/- 904748.20, N = 3958354064719203371-lpthread1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti
OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 9.0Test: Random ReadEPYC 9965AmpereOne A192-32X600K1200K1800K2400K3000K2704939.661900947.44
OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 9.0CPU Power Consumption MonitorEPYC 9965AmpereOne A192-32X70140210280350Min: 38.02 / Avg: 354.3 / Max: 379.97Min: 104.34 / Avg: 378.34 / Max: 398.751. EPYC 9965: Approximate power consumption of 22675 Joules per run.2. AmpereOne A192-32X: Approximate power consumption of 19926 Joules per run.
OpenBenchmarking.orgOp/s Per Dollar, More Is BetterRocksDB 9.0Performance / Cost - Test: Random ReadAmpereOne A192-32XEPYC 996530K60K90K120K150K129469.5564696.831. AmpereOne A192-32X: $5555 reported cost.2. EPYC 9965: $14813 reported cost.

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Read While WritingEPYC 9965AmpereOne A192-32X4M8M12M16M20MSE +/- 231468.03, N = 3SE +/- 27064.97, N = 3182800039803710-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 WritingEPYC 9965AmpereOne A192-32X11K22K33K44K55K51469.0246831.10
OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 9.0CPU Power Consumption MonitorAmpereOne A192-32XEPYC 996580160240320400Min: 107.19 / Avg: 209.34 / Max: 230.87Min: 38.7 / Avg: 355.17 / Max: 422.11. AmpereOne A192-32X: Approximate power consumption of 11235 Joules per run.2. EPYC 9965: Approximate power consumption of 22612 Joules per run.
OpenBenchmarking.orgOp/s Per Dollar, More Is BetterRocksDB 9.0Performance / Cost - Test: Read While WritingAmpereOne A192-32XEPYC 99654008001200160020001764.841234.051. AmpereOne A192-32X: $5555 reported cost.2. EPYC 9965: $14813 reported cost.

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 ReadEPYC 9965AmpereOne A192-32X200M400M600M800M1000MSE +/- 370648.73, N = 3SE +/- 1533105.14, N = 3969890739734401635-lpthread1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti
OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Random ReadEPYC 9965AmpereOne A192-32X600K1200K1800K2400K3000K2712772.811954905.44
OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption MonitorEPYC 9965AmpereOne A192-32X70140210280350Min: 38.22 / Avg: 357.53 / Max: 383.56Min: 105.06 / Avg: 375.67 / Max: 398.471. EPYC 9965: Approximate power consumption of 22882 Joules per run.2. AmpereOne A192-32X: Approximate power consumption of 20161 Joules per run.
OpenBenchmarking.orgOp/s Per Dollar, More Is BetterSpeedb 2.7Performance / Cost - Test: Random ReadAmpereOne A192-32XEPYC 996530K60K90K120K150K132205.5265475.651. AmpereOne A192-32X: $5555 reported cost.2. EPYC 9965: $14813 reported cost.

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 SecondAmpereOne A192-32XEPYC 99651000K2000K3000K4000K5000KSE +/- 3500.33, N = 3SE +/- 2487.95, N = 34561177.344247085.811. (CC) gcc options: -O2 -lrt" -lrt
OpenBenchmarking.orgIterations/Sec Per Watt, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondAmpereOne A192-32XEPYC 99654K8K12K16K20K20104.1216273.75
OpenBenchmarking.orgWatts, Fewer Is BetterCoremark 1.0CPU Power Consumption MonitorAmpereOne A192-32XEPYC 996560120180240300Min: 105.11 / Avg: 226.88 / Max: 316.57Min: 37.62 / Avg: 260.98 / Max: 347.041. AmpereOne A192-32X: Approximate power consumption of 4084 Joules per run.2. EPYC 9965: Approximate power consumption of 6524 Joules per run.
OpenBenchmarking.orgIterations/Sec Per Dollar, More Is BetterCoremark 1.0Performance / Cost - CoreMark Size 666 - Iterations Per SecondAmpereOne A192-32XEPYC 99652004006008001000821.09286.711. AmpereOne A192-32X: $5555 reported cost.2. EPYC 9965: $14813 reported cost.

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 9965AmpereOne A192-32X600M1200M1800M2400M3000MSE +/- 2247127.13, N = 3SE +/- 1007826.76, N = 3297634500018282653331. (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 9965AmpereOne A192-32X2M4M6M8M10M10018207.528363571.07
OpenBenchmarking.orgWatts, Fewer Is BetterAlgebraic Multi-Grid Benchmark 1.2CPU Power Consumption MonitorAmpereOne A192-32XEPYC 996570140210280350Min: 106.4 / Avg: 218.6 / Max: 277.51Min: 37.56 / Avg: 297.09 / Max: 369.721. AmpereOne A192-32X: Approximate power consumption of 10784 Joules per run.2. EPYC 9965: Approximate power consumption of 14161 Joules per run.
OpenBenchmarking.orgFigure Of Merit Per Dollar, More Is BetterAlgebraic Multi-Grid Benchmark 1.2Performance / CostAmpereOne A192-32XEPYC 996570K140K210K280K350K329120.67200927.901. AmpereOne A192-32X: $5555 reported cost.2. EPYC 9965: $14813 reported cost.

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 2.5kmEPYC 9965AmpereOne A192-32X2K4K6K8K10K5735.249102.321. (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 A192-32XEPYC 996570140210280350Min: 105.62 / Avg: 265.36 / Max: 401.27Min: 38 / Avg: 377.12 / Max: 411.59
OpenBenchmarking.orgSeconds x Dollar, Fewer Is BetterWRF 4.2.2Performance / Cost - Input: conus 2.5kmAmpereOne A192-32XEPYC 996520M40M60M80M100M50563376.4984956124.931. AmpereOne A192-32X: $5555 reported cost.2. EPYC 9965: $14813 reported cost.

LULESH

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

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3AmpereOne A192-32XEPYC 99659K18K27K36K45KSE +/- 79.76, N = 3SE +/- 401.87, N = 1541890.4134694.151. (CXX) g++ options: -O3 -fopenmp -lm -lmpi_cxx -lmpi
OpenBenchmarking.orgz/s Per Watt, More Is BetterLULESH 2.0.3AmpereOne A192-32XEPYC 996550100150200250218.74150.98
OpenBenchmarking.orgWatts, Fewer Is BetterLULESH 2.0.3CPU Power Consumption MonitorAmpereOne A192-32XEPYC 996570140210280350Min: 105.07 / Avg: 191.51 / Max: 305.74Min: 37.91 / Avg: 229.8 / Max: 371.861. AmpereOne A192-32X: Approximate power consumption of 3958 Joules per run.2. EPYC 9965: Approximate power consumption of 7614 Joules per run.
OpenBenchmarking.orgz/s Per Dollar, More Is BetterLULESH 2.0.3Performance / CostAmpereOne A192-32XEPYC 99652468107.5412.3421. AmpereOne A192-32X: $5555 reported cost.2. EPYC 9965: $14813 reported cost.

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: Rhodopsin ProteinEPYC 9965AmpereOne A192-32X1224364860SE +/- 0.48, N = 15SE +/- 3.06, N = 1255.0250.541. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin ProteinEPYC 9965AmpereOne A192-32X0.0950.190.2850.380.4750.4220.334
OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022CPU Power Consumption MonitorEPYC 9965AmpereOne A192-32X70140210280350Min: 20.48 / Avg: 130.45 / Max: 330.94Min: 104.89 / Avg: 151.52 / Max: 390.851. EPYC 9965: Approximate power consumption of 1052 Joules per run.2. AmpereOne A192-32X: Approximate power consumption of 1035 Joules per run.
OpenBenchmarking.orgns/day Per Dollar, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Performance / Cost - Model: Rhodopsin ProteinAmpereOne A192-32XEPYC 99650.0020.0040.0060.0080.010.009097210.003714241. AmpereOne A192-32X: $5555 reported cost.2. EPYC 9965: $14813 reported cost.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsEPYC 9965AmpereOne A192-32X1530456075SE +/- 0.46, N = 3SE +/- 0.04, N = 366.7753.861. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsEPYC 9965AmpereOne A192-32X0.03780.07560.11340.15120.1890.1680.164
OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022CPU Power Consumption MonitorAmpereOne A192-32XEPYC 996580160240320400Min: 104.06 / Avg: 329.3 / Max: 341.95Min: 37.84 / Avg: 396.7 / Max: 422.81. AmpereOne A192-32X: Approximate power consumption of 45004 Joules per run.2. EPYC 9965: Approximate power consumption of 54084 Joules per run.
OpenBenchmarking.orgns/day Per Dollar, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Performance / Cost - Model: 20k AtomsAmpereOne A192-32XEPYC 99650.00220.00440.00660.00880.0110.009695590.004507731. AmpereOne A192-32X: $5555 reported cost.2. EPYC 9965: $14813 reported cost.

m-queens

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

OpenBenchmarking.orgSeconds, Fewer Is Betterm-queens 1.2Time To SolveEPYC 9965AmpereOne A192-32X1.20532.41063.61594.82126.0265SE +/- 0.029, N = 8SE +/- 0.010, N = 74.7085.3571. (CXX) g++ options: -fopenmp -O2 -march=native
OpenBenchmarking.orgWatts, Fewer Is Betterm-queens 1.2CPU Power Consumption MonitorEPYC 9965AmpereOne A192-32X70140210280350Min: 38.1 / Avg: 206.82 / Max: 364.2Min: 108.63 / Avg: 238.77 / Max: 351.41. EPYC 9965: Approximate power consumption of 1810 Joules per run.2. AmpereOne A192-32X: Approximate power consumption of 1876 Joules per run.
OpenBenchmarking.orgSeconds x Dollar, Fewer Is Betterm-queens 1.2Performance / Cost - Time To SolveAmpereOne A192-32XEPYC 996515K30K45K60K75K29758.1469739.601. AmpereOne A192-32X: $5555 reported cost.2. EPYC 9965: $14813 reported cost.

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 9965AmpereOne A192-32X14K28K42K56K70KSE +/- 21.96, N = 6SE +/- 628.57, N = 1565294.538349.21. (CXX) g++ options: -O3 -fopenmp -lmpi_cxx -lmpi
OpenBenchmarking.orgCG Mflops Per Watt, More Is BetterminiFE 2.2Problem Size: SmallEPYC 9965AmpereOne A192-32X90180270360450414.89248.81
OpenBenchmarking.orgWatts, Fewer Is BetterminiFE 2.2CPU Power Consumption MonitorAmpereOne A192-32XEPYC 996560120180240300Min: 105.1 / Avg: 154.13 / Max: 234.99Min: 37.77 / Avg: 157.38 / Max: 341.271. AmpereOne A192-32X: Approximate power consumption of 2394 Joules per run.2. EPYC 9965: Approximate power consumption of 1810 Joules per run.
OpenBenchmarking.orgCG Mflops Per Dollar, More Is BetterminiFE 2.2Performance / Cost - Problem Size: SmallAmpereOne A192-32XEPYC 99652468106.9044.4081. AmpereOne A192-32X: $5555 reported cost.2. EPYC 9965: $14813 reported cost.

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 - DegriddingEPYC 9965AmpereOne A192-32X10K20K30K40K50KSE +/- 455.47, N = 13SE +/- 159.94, N = 346390.520809.21. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
OpenBenchmarking.orgMpix/sec Per Dollar, More Is BetterASKAP 1.0Performance / Cost - Test: tConvolve MPI - DegriddingAmpereOne A192-32XEPYC 99650.84291.68582.52873.37164.21453.7463.1321. AmpereOne A192-32X: $5555 reported cost.2. EPYC 9965: $14813 reported cost.

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingEPYC 9965AmpereOne A192-32X10K20K30K40K50KSE +/- 526.44, N = 13SE +/- 93.27, N = 344845.218414.71. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
OpenBenchmarking.orgMpix/sec Per Watt, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingEPYC 9965AmpereOne A192-32X306090120150144.3686.00
OpenBenchmarking.orgWatts, Fewer Is BetterASKAP 1.0CPU Power Consumption MonitorAmpereOne A192-32XEPYC 996570140210280350Min: 104.66 / Avg: 214.12 / Max: 333.71Min: 38.21 / Avg: 310.65 / Max: 396.721. AmpereOne A192-32X: Approximate power consumption of 17629 Joules per run.2. EPYC 9965: Approximate power consumption of 20670 Joules per run.
OpenBenchmarking.orgMpix/sec Per Dollar, More Is BetterASKAP 1.0Performance / Cost - Test: tConvolve MPI - GriddingAmpereOne A192-32XEPYC 99650.74591.49182.23772.98363.72953.3153.0271. AmpereOne A192-32X: $5555 reported cost.2. EPYC 9965: $14813 reported cost.

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_bareEPYC 9965AmpereOne A192-32X612182430SE +/- 0.050, N = 3SE +/- 0.007, N = 323.1427.0391. (CXX) g++ options: -O3 -lm
OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2024Implementation: MPI CPU - Input: water_GMX50_bareEPYC 9965AmpereOne A192-32X0.0180.0360.0540.0720.090.0800.026
OpenBenchmarking.orgWatts, Fewer Is BetterGROMACS 2024CPU Power Consumption MonitorAmpereOne A192-32XEPYC 996570140210280350Min: 105 / Avg: 270.4 / Max: 398.48Min: 37.69 / Avg: 288.78 / Max: 417.161. AmpereOne A192-32X: Approximate power consumption of 9644 Joules per run.2. EPYC 9965: Approximate power consumption of 8182 Joules per run.
OpenBenchmarking.orgNs Per Day Per Dollar, More Is BetterGROMACS 2024Performance / Cost - Implementation: MPI CPU - Input: water_GMX50_bareEPYC 9965AmpereOne A192-32X0.00040.00080.00120.00160.0020.001562280.001267151. EPYC 9965: $14813 reported cost.2. AmpereOne A192-32X: $5555 reported cost.

QuantLib

QuantLib is an open-source library/framework around quantitative finance for modeling, trading and risk management scenarios. QuantLib is written in C++ with Boost and its built-in benchmark used reports the QuantLib Benchmark Index benchmark score. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedEPYC 9965AmpereOne A192-32X120K240K360K480K600KSE +/- 485.45, N = 3SE +/- 97.87, N = 3566481.4300839.91. (CXX) g++ options: -O3 -march=native -fPIE -pie
OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedEPYC 9965AmpereOne A192-32X300600900120015001606.22984.41
OpenBenchmarking.orgWatts, Fewer Is BetterQuantLib 1.32CPU Power Consumption MonitorAmpereOne A192-32XEPYC 996570140210280350Min: 102.86 / Avg: 305.61 / Max: 373.06Min: 37.88 / Avg: 352.68 / Max: 387.811. AmpereOne A192-32X: Approximate power consumption of 14058 Joules per run.2. EPYC 9965: Approximate power consumption of 25275 Joules per run.
OpenBenchmarking.orgMFLOPS Per Dollar, More Is BetterQuantLib 1.32Performance / Cost - Configuration: Multi-ThreadedAmpereOne A192-32XEPYC 9965122436486054.1638.241. AmpereOne A192-32X: $5555 reported cost.2. EPYC 9965: $14813 reported cost.

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_aeEPYC 9965AmpereOne A192-32X20406080100SE +/- 0.32, N = 3SE +/- 0.15, N = 394.59106.91-march=native-mcpu=native1. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -O3 -lm -ldl
OpenBenchmarking.orgWatts, Fewer Is BetterQMCPACK 3.17.1CPU Power Consumption MonitorEPYC 9965AmpereOne A192-32X70140210280350Min: 38.28 / Avg: 360 / Max: 391.3Min: 106.57 / Avg: 367.85 / Max: 394.451. EPYC 9965: Approximate power consumption of 36600 Joules per run.2. AmpereOne A192-32X: Approximate power consumption of 34701 Joules per run.
OpenBenchmarking.orgTotal Execution Time - Seconds x Dollar, Fewer Is BetterQMCPACK 3.17.1Performance / Cost - Input: Li2_STO_aeAmpereOne A192-32XEPYC 9965300K600K900K1200K1500K593885.051401176.481. AmpereOne A192-32X: $5555 reported cost.2. EPYC 9965: $14813 reported cost.

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 NanotubeEPYC 9965AmpereOne A192-32X918273645SE +/- 0.02, N = 3SE +/- 0.10, N = 327.5641.06-fwrapv -O21. (CC) gcc options: -shared -lxc -lblas -lmpi
OpenBenchmarking.orgWatts, Fewer Is BetterGPAW 23.6CPU Power Consumption MonitorAmpereOne A192-32XEPYC 996570140210280350Min: 109.1 / Avg: 315.48 / Max: 394.13Min: 38.14 / Avg: 324.56 / Max: 416.871. AmpereOne A192-32X: Approximate power consumption of 12304 Joules per run.2. EPYC 9965: Approximate power consumption of 11792 Joules per run.
OpenBenchmarking.orgSeconds x Dollar, Fewer Is BetterGPAW 23.6Performance / Cost - Input: Carbon NanotubeAmpereOne A192-32XEPYC 996590K180K270K360K450K228088.30408246.281. AmpereOne A192-32X: $5555 reported cost.2. EPYC 9965: $14813 reported cost.

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 9965AmpereOne A192-32X1428425670SE +/- 0.02, N = 3SE +/- 0.39, N = 360.7033.361. (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 9965AmpereOne A192-32X0.03960.07920.11880.15840.1980.1760.133
OpenBenchmarking.orgWatts, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Power Consumption MonitorAmpereOne A192-32XEPYC 996570140210280350Min: 106.77 / Avg: 250.99 / Max: 397.93Min: 38.16 / Avg: 344.96 / Max: 387.511. AmpereOne A192-32X: Approximate power consumption of 224298 Joules per run.2. EPYC 9965: Approximate power consumption of 215367 Joules per run.
OpenBenchmarking.orgGFLOP/s Per Dollar, More Is BetterHigh Performance Conjugate Gradient 3.1Performance / Cost - X Y Z: 144 144 144 - RT: 60AmpereOne A192-32XEPYC 99650.00140.00280.00420.00560.0070.006005710.004098001. AmpereOne A192-32X: $5555 reported cost.2. EPYC 9965: $14813 reported cost.

Pennant

Pennant is an application focused on hydrodynamics on general unstructured meshes in 2D. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigEPYC 9965AmpereOne A192-32X0.75361.50722.26083.01443.768SE +/- 0.017533, N = 7SE +/- 0.062865, N = 152.3795133.3494391. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi
OpenBenchmarking.orgWatts, Fewer Is BetterPennant 1.0.1CPU Power Consumption MonitorEPYC 9965AmpereOne A192-32X70140210280350Min: 37.98 / Avg: 172.45 / Max: 384.3Min: 104.62 / Avg: 178.43 / Max: 356.421. EPYC 9965: Approximate power consumption of 1700 Joules per run.2. AmpereOne A192-32X: Approximate power consumption of 1546 Joules per run.
OpenBenchmarking.orgHydro Cycle Time - Seconds x Dollar, Fewer Is BetterPennant 1.0.1Performance / Cost - Test: leblancbigAmpereOne A192-32XEPYC 99658K16K24K32K40K18606.1335247.731. AmpereOne A192-32X: $5555 reported cost.2. EPYC 9965: $14813 reported cost.

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigEPYC 9965AmpereOne A192-32X0.96541.93082.89623.86164.827SE +/- 0.046313, N = 15SE +/- 0.065187, N = 153.8069654.2905861. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi
OpenBenchmarking.orgWatts, Fewer Is BetterPennant 1.0.1CPU Power Consumption MonitorAmpereOne A192-32XEPYC 996570140210280350Min: 105.79 / Avg: 187.28 / Max: 376.9Min: 37.86 / Avg: 197.44 / Max: 381.391. AmpereOne A192-32X: Approximate power consumption of 1760 Joules per run.2. EPYC 9965: Approximate power consumption of 2198 Joules per run.
OpenBenchmarking.orgHydro Cycle Time - Seconds x Dollar, Fewer Is BetterPennant 1.0.1Performance / Cost - Test: sedovbigAmpereOne A192-32XEPYC 996512K24K36K48K60K23834.2156392.571. AmpereOne A192-32X: $5555 reported cost.2. EPYC 9965: $14813 reported cost.

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.DEPYC 9965AmpereOne A192-32X4K8K12K16K20KSE +/- 908.46, N = 15SE +/- 27.71, N = 317965.557557.721. (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 4.1.6
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DEPYC 9965AmpereOne A192-32X163248648074.1835.20
OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption MonitorAmpereOne A192-32XEPYC 996570140210280350Min: 105.52 / Avg: 214.72 / Max: 253.24Min: 37.89 / Avg: 242.18 / Max: 391.391. AmpereOne A192-32X: Approximate power consumption of 4509 Joules per run.2. EPYC 9965: Approximate power consumption of 3826 Joules per run.
OpenBenchmarking.orgTotal Mop/s Per Dollar, More Is BetterNAS Parallel Benchmarks 3.4Performance / Cost - Test / Class: EP.DAmpereOne A192-32XEPYC 99650.30620.61240.91861.22481.5311.3611.2131. AmpereOne A192-32X: $5555 reported cost.2. EPYC 9965: $14813 reported cost.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.CEPYC 9965AmpereOne A192-32X30K60K90K120K150KSE +/- 1227.63, N = 4SE +/- 8.41, N = 3152747.8733612.411. (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 4.1.6
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.CEPYC 9965AmpereOne A192-32X120240360480600566.79110.00
OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption MonitorEPYC 9965AmpereOne A192-32X70140210280350Min: 38.09 / Avg: 269.5 / Max: 413.08Min: 107.89 / Avg: 305.58 / Max: 338.691. EPYC 9965: Approximate power consumption of 4447 Joules per run.2. AmpereOne A192-32X: Approximate power consumption of 13038 Joules per run.
OpenBenchmarking.orgTotal Mop/s Per Dollar, More Is BetterNAS Parallel Benchmarks 3.4Performance / Cost - Test / Class: SP.CEPYC 9965AmpereOne A192-32X369121510.3126.0511. EPYC 9965: $14813 reported cost.2. AmpereOne A192-32X: $5555 reported cost.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DEPYC 9965AmpereOne A192-32X16003200480064008000SE +/- 113.41, N = 15SE +/- 10.73, N = 37503.012417.041. (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 4.1.6
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DEPYC 9965AmpereOne A192-32X91827364540.8312.03
OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption MonitorEPYC 9965AmpereOne A192-32X70140210280350Min: 37.84 / Avg: 183.78 / Max: 364.37Min: 107.67 / Avg: 200.87 / Max: 327.971. EPYC 9965: Approximate power consumption of 2169 Joules per run.2. AmpereOne A192-32X: Approximate power consumption of 3816 Joules per run.
OpenBenchmarking.orgTotal Mop/s Per Dollar, More Is BetterNAS Parallel Benchmarks 3.4Performance / Cost - Test / Class: IS.DEPYC 9965AmpereOne A192-32X0.11410.22820.34230.45640.57050.5070.4351. EPYC 9965: $14813 reported cost.2. AmpereOne A192-32X: $5555 reported cost.

Xcompact3d Incompact3d

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

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per DirectionEPYC 9965AmpereOne A192-32X3691215SE +/- 0.01223998, N = 5SE +/- 0.04916545, N = 46.539376558.955814841. (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 MonitorAmpereOne A192-32XEPYC 996570140210280350Min: 107.25 / Avg: 204.21 / Max: 336.02Min: 19.04 / Avg: 239.56 / Max: 402.631. AmpereOne A192-32X: Approximate power consumption of 2757 Joules per run.2. EPYC 9965: Approximate power consumption of 3402 Joules per run.
OpenBenchmarking.orgSeconds x Dollar, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Performance / Cost - Input: input.i3d 193 Cells Per DirectionAmpereOne A192-32XEPYC 996520K40K60K80K100K49749.5596867.791. AmpereOne A192-32X: $5555 reported cost.2. EPYC 9965: $14813 reported cost.

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: X3D-benchmarking input.i3dEPYC 9965AmpereOne A192-32X60120180240300SE +/- 0.30, N = 3SE +/- 0.24, N = 3196.32290.281. (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 MonitorAmpereOne A192-32XEPYC 996570140210280350Min: 105.69 / Avg: 234.12 / Max: 381.79Min: 38.35 / Avg: 357.77 / Max: 389.511. AmpereOne A192-32X: Approximate power consumption of 52599 Joules per run.2. EPYC 9965: Approximate power consumption of 73462 Joules per run.
OpenBenchmarking.orgSeconds x Dollar, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Performance / Cost - Input: X3D-benchmarking input.i3dAmpereOne A192-32XEPYC 9965600K1200K1800K2400K3000K1612509.412908068.391. AmpereOne A192-32X: $5555 reported cost.2. EPYC 9965: $14813 reported cost.

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 TimeEPYC 9965AmpereOne A192-32X81624324025.3432.36-m64-mcpu=native1. (CXX) g++ options: -std=c++14 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm
OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10CPU Power Consumption MonitorAmpereOne A192-32XEPYC 996570140210280350Min: 104.98 / Avg: 306.31 / Max: 398.09Min: 37.74 / Avg: 322.39 / Max: 406.12
OpenBenchmarking.orgSeconds x Dollar, Fewer Is BetterOpenFOAM 10Performance / Cost - Input: drivaerFastback, Small Mesh Size - Execution TimeAmpereOne A192-32XEPYC 996580K160K240K320K400K179753.53375316.171. AmpereOne A192-32X: $5555 reported cost.2. EPYC 9965: $14813 reported cost.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Execution TimeEPYC 9965AmpereOne A192-32X70140210280350176.40315.66-m64-mcpu=native1. (CXX) g++ options: -std=c++14 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm
OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10CPU Power Consumption MonitorAmpereOne A192-32XEPYC 996570140210280350Min: 107.53 / Avg: 297.1 / Max: 398.03Min: 38.05 / Avg: 377.53 / Max: 408.64
OpenBenchmarking.orgSeconds x Dollar, Fewer Is BetterOpenFOAM 10Performance / Cost - Input: drivaerFastback, Medium Mesh Size - Execution TimeAmpereOne A192-32XEPYC 9965600K1200K1800K2400K3000K1753468.362612984.461. AmpereOne A192-32X: $5555 reported cost.2. EPYC 9965: $14813 reported cost.

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 9965AmpereOne A192-32X200K400K600K800K1000KSE +/- 5680.94, N = 3SE +/- 7822.06, N = 310071507566811. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
OpenBenchmarking.orgMIPS Per Dollar, More Is Better7-Zip Compression 22.01Performance / Cost - Test: Compression RatingAmpereOne A192-32XEPYC 9965306090120150136.2267.991. AmpereOne A192-32X: $5555 reported cost.2. EPYC 9965: $14813 reported cost.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingEPYC 9965AmpereOne A192-32X200K400K600K800K1000KSE +/- 150.31, N = 3SE +/- 2055.40, N = 310018588773051. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
OpenBenchmarking.orgMIPS Per Watt, More Is Better7-Zip Compression 22.01Test: Decompression RatingEPYC 9965AmpereOne A192-32X70014002100280035003214.793147.65
OpenBenchmarking.orgWatts, Fewer Is Better7-Zip Compression 22.01CPU Power Consumption MonitorAmpereOne A192-32XEPYC 996570140210280350Min: 105.87 / Avg: 278.72 / Max: 358.51Min: 38.89 / Avg: 311.64 / Max: 408.211. AmpereOne A192-32X: Approximate power consumption of 6968 Joules per run.2. EPYC 9965: Approximate power consumption of 14439 Joules per run.
OpenBenchmarking.orgMIPS Per Dollar, More Is Better7-Zip Compression 22.01Performance / Cost - Test: Decompression RatingAmpereOne A192-32XEPYC 9965306090120150157.9367.631. AmpereOne A192-32X: $5555 reported cost.2. EPYC 9965: $14813 reported cost.

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 CompressionEPYC 9965AmpereOne A192-32X0.370.741.111.481.85SE +/- 0.009424, N = 15SE +/- 0.008273, N = 110.8912381.6444851. (CXX) g++ options: -O2 -pthread -lbz2 -lpthread
OpenBenchmarking.orgWatts, Fewer Is BetterParallel BZIP2 Compression 1.1.13CPU Power Consumption MonitorEPYC 9965AmpereOne A192-32X50100150200250Min: 38 / Avg: 80.55 / Max: 240.43Min: 103.94 / Avg: 134.98 / Max: 280.441. EPYC 9965: Approximate power consumption of 397 Joules per run.2. AmpereOne A192-32X: Approximate power consumption of 650 Joules per run.
OpenBenchmarking.orgSeconds x Dollar, Fewer Is BetterParallel BZIP2 Compression 1.1.13Performance / Cost - FreeBSD-13.0-RELEASE-amd64-memstick.img CompressionAmpereOne A192-32XEPYC 99653K6K9K12K15K9135.1113201.911. AmpereOne A192-32X: $5555 reported cost.2. EPYC 9965: $14813 reported cost.

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: ThoroughEPYC 9965AmpereOne A192-32X306090120150SE +/- 0.07, N = 6SE +/- 0.01, N = 4128.7650.021. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.7Preset: ThoroughEPYC 9965AmpereOne A192-32X0.18180.36360.54540.72720.9090.8080.264
OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.7CPU Power Consumption MonitorEPYC 9965AmpereOne A192-32X70140210280350Min: 38.2 / Avg: 159.26 / Max: 364Min: 104.51 / Avg: 189.61 / Max: 266.81. EPYC 9965: Approximate power consumption of 1885 Joules per run.2. AmpereOne A192-32X: Approximate power consumption of 2939 Joules per run.
OpenBenchmarking.orgMT/s Per Dollar, More Is BetterASTC Encoder 4.7Performance / Cost - Preset: ThoroughAmpereOne A192-32XEPYC 99650.0020.0040.0060.0080.010.009005080.008692111. AmpereOne A192-32X: $5555 reported cost.2. EPYC 9965: $14813 reported cost.

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: Very ThoroughEPYC 9965AmpereOne A192-32X510152025SE +/- 0.0042, N = 3SE +/- 0.0004, N = 318.77137.37481. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.7Preset: Very ThoroughEPYC 9965AmpereOne A192-32X0.01690.03380.05070.06760.08450.0750.032
OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.7CPU Power Consumption MonitorAmpereOne A192-32XEPYC 996570140210280350Min: 105.18 / Avg: 233.56 / Max: 271.06Min: 38.13 / Avg: 249.95 / Max: 374.591. AmpereOne A192-32X: Approximate power consumption of 8019 Joules per run.2. EPYC 9965: Approximate power consumption of 5166 Joules per run.
OpenBenchmarking.orgMT/s Per Dollar, More Is BetterASTC Encoder 4.7Performance / Cost - Preset: Very ThoroughAmpereOne A192-32XEPYC 99650.00030.00060.00090.00120.00150.001327600.001267221. AmpereOne A192-32X: $5555 reported cost.2. EPYC 9965: $14813 reported cost.

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: ExhaustiveEPYC 9965AmpereOne A192-32X3691215SE +/- 0.0016, N = 4SE +/- 0.0011, N = 311.53124.59301. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.7Preset: ExhaustiveEPYC 9965AmpereOne A192-32X0.01040.02080.03120.04160.0520.0460.020
OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.7CPU Power Consumption MonitorAmpereOne A192-32XEPYC 996570140210280350Min: 106.05 / Avg: 231.9 / Max: 270.75Min: 38.46 / Avg: 253 / Max: 377.811. AmpereOne A192-32X: Approximate power consumption of 7653 Joules per run.2. EPYC 9965: Approximate power consumption of 5187 Joules per run.
OpenBenchmarking.orgMT/s Per Dollar, More Is BetterASTC Encoder 4.7Performance / Cost - Preset: ExhaustiveAmpereOne A192-32XEPYC 99650.00020.00040.00060.00080.0010.000826820.000778451. AmpereOne A192-32X: $5555 reported cost.2. EPYC 9965: $14813 reported cost.

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-GaussianEPYC 9965AmpereOne A192-32X60120180240300SE +/- 1.00, N = 3SE +/- 1.20, N = 32962451. (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-GaussianEPYC 9965AmpereOne A192-32X0.40030.80061.20091.60122.00151.7791.462
OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.43CPU Power Consumption MonitorEPYC 9965AmpereOne A192-32X4080120160200Min: 38.31 / Avg: 166.42 / Max: 181.2Min: 105.05 / Avg: 167.57 / Max: 193.591. EPYC 9965: Approximate power consumption of 10595 Joules per run.2. AmpereOne A192-32X: Approximate power consumption of 9049 Joules per run.
OpenBenchmarking.orgIterations Per Minute Per Dollar, More Is BetterGraphicsMagick 1.3.43Performance / Cost - Operation: Noise-GaussianAmpereOne A192-32XEPYC 99650.00990.01980.02970.03960.04950.044104410.019982451. AmpereOne A192-32X: $5555 reported cost.2. EPYC 9965: $14813 reported cost.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: EnhancedEPYC 9965AmpereOne A192-32X110220330440550SE +/- 1.53, N = 3SE +/- 0.33, N = 34953701. (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: EnhancedEPYC 9965AmpereOne A192-32X0.41990.83981.25971.67962.09951.8661.552
OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.43CPU Power Consumption MonitorAmpereOne A192-32XEPYC 996550100150200250Min: 104.16 / Avg: 238.4 / Max: 254.8Min: 38 / Avg: 265.31 / Max: 285.061. AmpereOne A192-32X: Approximate power consumption of 12635 Joules per run.2. EPYC 9965: Approximate power consumption of 17068 Joules per run.
OpenBenchmarking.orgIterations Per Minute Per Dollar, More Is BetterGraphicsMagick 1.3.43Performance / Cost - Operation: EnhancedAmpereOne A192-32XEPYC 99650.0150.030.0450.060.0750.066606660.033416591. AmpereOne A192-32X: $5555 reported cost.2. EPYC 9965: $14813 reported cost.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: SharpenAmpereOne A192-32XEPYC 9965100200300400500SE +/- 4.33, N = 3SE +/- 0.88, N = 34694451. (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: SharpenAmpereOne A192-32XEPYC 99650.35150.7031.05451.4061.75751.5621.536
OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.43CPU Power Consumption MonitorEPYC 9965AmpereOne A192-32X60120180240300Min: 38.44 / Avg: 289.74 / Max: 312.13Min: 106.92 / Avg: 300.35 / Max: 330.491. EPYC 9965: Approximate power consumption of 18447 Joules per run.2. AmpereOne A192-32X: Approximate power consumption of 15918 Joules per run.
OpenBenchmarking.orgIterations Per Minute Per Dollar, More Is BetterGraphicsMagick 1.3.43Performance / Cost - Operation: SharpenAmpereOne A192-32XEPYC 99650.0190.0380.0570.0760.0950.084428440.030041181. AmpereOne A192-32X: $5555 reported cost.2. EPYC 9965: $14813 reported cost.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: SwirlAmpereOne A192-32XEPYC 99652004006008001000SE +/- 2.52, N = 3SE +/- 0.33, N = 39538931. (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: SwirlAmpereOne A192-32XEPYC 99650.8641.7282.5923.4564.323.8403.488
OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.43CPU Power Consumption MonitorAmpereOne A192-32XEPYC 996550100150200250Min: 106.72 / Avg: 248.15 / Max: 262.76Min: 38.33 / Avg: 255.99 / Max: 276.431. AmpereOne A192-32X: Approximate power consumption of 13152 Joules per run.2. EPYC 9965: Approximate power consumption of 16298 Joules per run.
OpenBenchmarking.orgIterations Per Minute Per Dollar, More Is BetterGraphicsMagick 1.3.43Performance / Cost - Operation: SwirlAmpereOne A192-32XEPYC 99650.03870.07740.11610.15480.19350.172000000.060284881. AmpereOne A192-32X: $5555 reported cost.2. EPYC 9965: $14813 reported cost.

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 TotalEPYC 9965AmpereOne A192-32X2K4K6K8K10KSE +/- 0.19, N = 3SE +/- 0.12, N = 38940.92824.7-march=native -mavx2 -mavx -msse4.1 -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 7191.5 / MAX: 8941.3MIN: 1697.4 / MAX: 2824.91. (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 TotalEPYC 9965AmpereOne A192-32X71421283528.6215.40
OpenBenchmarking.orgWatts, Fewer Is BettersrsRAN Project 23.10.1-20240325CPU Power Consumption MonitorAmpereOne A192-32XEPYC 996570140210280350Min: 104.98 / Avg: 183.4 / Max: 200.5Min: 39.02 / Avg: 312.37 / Max: 368.161. AmpereOne A192-32X: Approximate power consumption of 8559 Joules per run.2. EPYC 9965: Approximate power consumption of 10204 Joules per run.
OpenBenchmarking.orgMbps Per Dollar, More Is BettersrsRAN Project 23.10.1-20240325Performance / Cost - Test: PUSCH Processor Benchmark, Throughput TotalEPYC 9965AmpereOne A192-32X0.13590.27180.40770.54360.67950.6040.5081. EPYC 9965: $14813 reported cost.2. AmpereOne A192-32X: $5555 reported cost.

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: CPUEPYC 9965AmpereOne A192-32X0.45370.90741.36111.81482.2685SE +/- 0.001318, N = 9SE +/- 0.012736, N = 90.6581542.016290-msse4.1 - MIN: 0.58-mcpu=generic - MIN: 1.751. (CXX) g++ options: -O3 -march=native -fopenmp -fPIC -pie -ldl -lpthread
OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.4CPU Power Consumption MonitorEPYC 9965AmpereOne A192-32X50100150200250Min: 38.46 / Avg: 120.79 / Max: 233.5Min: 104.25 / Avg: 174.99 / Max: 279.821. EPYC 9965: Approximate power consumption of 859 Joules per run.2. AmpereOne A192-32X: Approximate power consumption of 1050 Joules per run.
OpenBenchmarking.orgms x Dollar, Fewer Is BetteroneDNN 3.4Performance / Cost - Harness: Deconvolution Batch shapes_3d - Engine: CPUEPYC 9965AmpereOne A192-32X2K4K6K8K10K9749.2411200.491. EPYC 9965: $14813 reported cost.2. AmpereOne A192-32X: $5555 reported cost.

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: 1MAmpereOne A192-32XEPYC 99654K8K12K16K20KSE +/- 274.17, N = 15SE +/- 53.68, N = 317812.615447.6-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 6.21Variant: GhostRider - Hash Count: 1MAmpereOne A192-32XEPYC 99652040608010080.0648.04
OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption MonitorAmpereOne A192-32XEPYC 996560120180240300Min: 104.15 / Avg: 222.49 / Max: 236.3Min: 38.1 / Avg: 321.57 / Max: 344.61. AmpereOne A192-32X: Approximate power consumption of 11036 Joules per run.2. EPYC 9965: Approximate power consumption of 22295 Joules per run.
OpenBenchmarking.orgH/s Per Dollar, More Is BetterXmrig 6.21Performance / Cost - Variant: GhostRider - Hash Count: 1MAmpereOne A192-32XEPYC 99650.72161.44322.16482.88643.6083.2071.0431. AmpereOne A192-32X: $5555 reported cost.2. EPYC 9965: $14813 reported cost.

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 digitAmpereOne A192-32XEPYC 9965918273645SE +/- 0.11, N = 3SE +/- 0.08, N = 330.4739.771. (CC) gcc options: -O2 -pthread
OpenBenchmarking.orgWatts, Fewer Is BetterHelsing 1.0-betaCPU Power Consumption MonitorEPYC 9965AmpereOne A192-32X70140210280350Min: 38.62 / Avg: 342.85 / Max: 387.21Min: 105.04 / Avg: 359.98 / Max: 397.641. EPYC 9965: Approximate power consumption of 14971 Joules per run.2. AmpereOne A192-32X: Approximate power consumption of 10079 Joules per run.
OpenBenchmarking.orgSeconds x Dollar, Fewer Is BetterHelsing 1.0-betaPerformance / Cost - Digit Range: 14 digitAmpereOne A192-32XEPYC 9965130K260K390K520K650K169277.52589038.951. AmpereOne A192-32X: $5555 reported cost.2. EPYC 9965: $14813 reported cost.

Stockfish

This is a test of Stockfish, an advanced open-source C++11 chess benchmark that can scale up to 1024 CPU threads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 16.1Chess BenchmarkEPYC 9965AmpereOne A192-32X80M160M240M320M400MSE +/- 2768351.23, N = 3SE +/- 4643374.23, N = 11362007178128602136-m64 -msse -msse3 -mpopcnt -mavx2 -mbmi -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 -funroll-loops -flto -flto-partition=one -flto=jobserver
OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterStockfish 16.1Chess BenchmarkEPYC 9965AmpereOne A192-32X200K400K600K800K1000K931347.77437423.93
OpenBenchmarking.orgWatts, Fewer Is BetterStockfish 16.1CPU Power Consumption MonitorAmpereOne A192-32XEPYC 996570140210280350Min: 102.54 / Avg: 294 / Max: 400.19Min: 38.5 / Avg: 388.69 / Max: 420.821. AmpereOne A192-32X: Approximate power consumption of 31779 Joules per run.2. EPYC 9965: Approximate power consumption of 35889 Joules per run.
OpenBenchmarking.orgNodes Per Second Per Dollar, More Is BetterStockfish 16.1Performance / Cost - Chess BenchmarkEPYC 9965AmpereOne A192-32X5K10K15K20K25K24438.4823150.701. EPYC 9965: $14813 reported cost.2. AmpereOne A192-32X: $5555 reported cost.

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: 1e13AmpereOne A192-32XEPYC 996548121620SE +/- 0.06, N = 4SE +/- 0.01, N = 414.0115.981. (CXX) g++ options: -O3
OpenBenchmarking.orgWatts, Fewer Is BetterPrimesieve 12.1CPU Power Consumption MonitorEPYC 9965AmpereOne A192-32X70140210280350Min: 38.49 / Avg: 301.51 / Max: 386.95Min: 102.19 / Avg: 323.6 / Max: 397.321. EPYC 9965: Approximate power consumption of 6030 Joules per run.2. AmpereOne A192-32X: Approximate power consumption of 4692 Joules per run.
OpenBenchmarking.orgSeconds x Dollar, Fewer Is BetterPrimesieve 12.1Performance / Cost - Length: 1e13AmpereOne A192-32XEPYC 996550K100K150K200K250K77825.55236652.491. AmpereOne A192-32X: $5555 reported cost.2. EPYC 9965: $14813 reported cost.

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringAmpereOne A192-32XEPYC 996580160240320400Min: 101.66 / Avg: 230.95 / Max: 401.31Min: 19.04 / Avg: 275.17 / Max: 461.59

Geometric Mean Of All Test Results

OpenBenchmarking.orgGeometric Mean, More Is BetterGeometric Mean Of All Test ResultsResult Composite - AMD EPYC 9965 Turin Dense vs. AmpereOne ARM 192-Core CPU BenchmarksEPYC 9965AmpereOne A192-32X300600900120015001225.64764.47

AmpereOne A192-32X

Processor: AmpereOne @ 3.20GHz (192 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 25 August 2024 00:56 by user ubuntu.

EPYC 9965

Processor: AMD EPYC 9965 192-Core @ 2.25GHz (192 Cores / 384 Threads), Motherboard: AMD VOLCANO (RVOT1000D BIOS), Chipset: AMD Device 153a, Memory: 12 x 64GB DDR5-6000MT/s Samsung M321R8GA0PB1-CCPKC, Disk: 2 x 1920GB KIOXIA KCD8XPUG1T92, Graphics: ASPEED, Network: Broadcom NetXtreme BCM5720 PCIe

OS: Ubuntu 24.04, Kernel: 6.10.0-phx (x86_64), 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-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-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-OiuXZC/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-OiuXZC/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-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: 0xb101018
Java Notes: OpenJDK Runtime Environment (build 21.0.3-ea+7-Ubuntu-1build1)
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 + reg_file_data_sampling: 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; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 4 October 2024 14:32 by user phoronix.