AMD 5th Gen EPYC 9005 Turin vs. NVIDIA GH200 Performance Benchmarks

AMD 5th Gen EPYC "Turin" Linux benchmarks by Michael Larabel for a future article on launch day of EPYC 9005 series Linux performance.

HTML result view exported from: https://openbenchmarking.org/result/2410298-NE-NVIDIAGRA46&grt&rdt.

AMD 5th Gen EPYC 9005 Turin vs. NVIDIA GH200 Performance BenchmarksProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelCompilerFile-SystemScreen ResolutionDisplay DriverOpenCLEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3eAMD EPYC 9575F 64-Core @ 3.30GHz (64 Cores / 128 Threads)AMD VOLCANO (RVOT1000D BIOS)AMD Device 153a12 x 64GB DDR5-6000MT/s Samsung M321R8GA0PB1-CCPKC2 x 1920GB KIOXIA KCD8XPUG1T92ASPEEDBroadcom NetXtreme BCM5720 PCIeUbuntu 24.046.10.0-phx (x86_64)GCC 13.2.0ext41920x1200AMD EPYC 9965 192-Core @ 2.25GHz (192 Cores / 384 Threads)ARMv8 Neoverse-V2 @ 3.47GHz (72 Cores)Pegatron JIMBO P4352 (00022432 BIOS)1 x 480GB LPDDR5-6400MT/s NVIDIA 699-2G530-0236-RC11000GB CT1000T700SSD3NVIDIA GH200 144G HBM3e 143GB2 x Intel X5506.8.0-47-generic-64k (aarch64)NVIDIAOpenCL 3.0 CUDA 12.6.65GCC 13.2.0 + CUDA 11.8OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- EPYC 9575F: --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 - 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 - NVIDIA GH200 144G HBM3e: --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- EPYC 9575F: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xb002110- EPYC 9965: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xb101018- NVIDIA GH200 144G HBM3e: Scaling Governor: cppc_cpufreq performance (Boost: Disabled)Java Details- EPYC 9575F, EPYC 9965: OpenJDK Runtime Environment (build 21.0.3-ea+7-Ubuntu-1build1)Python Details- EPYC 9575F: Python 3.12.2- EPYC 9965: Python 3.12.2- NVIDIA GH200 144G HBM3e: Python 3.12.6Security Details- EPYC 9575F: 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 - 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 - NVIDIA GH200 144G HBM3e: 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 __user pointer sanitization + spectre_v2: Not affected + srbds: Not affected + tsx_async_abort: Not affected

AMD 5th Gen EPYC 9005 Turin vs. NVIDIA GH200 Performance Benchmarkscompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingamg: askap: tConvolve MPI - Degriddingaskap: tConvolve MPI - Griddingastcenc: Thoroughastcenc: Very Thoroughastcenc: Exhaustiveblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyblender: Barbershop - CPU-Onlyblender: Junkshop - CPU-Onlybrl-cad: VGR Performance Metricclickhouse: 100M Rows Hits Dataset, First Run / Cold Cacheclickhouse: 100M Rows Hits Dataset, Second Runclickhouse: 100M Rows Hits Dataset, Third Runcloverleaf: clover_bm64_shortcoremark: CoreMark Size 666 - Iterations Per Secondembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objembree: Pathtracer ISPC - Crownffmpeg: libx265 - Platformgpaw: Carbon Nanotubegraphics-magick: Noise-Gaussiangraphics-magick: Enhancedgraphics-magick: Sharpengromacs: MPI CPU - water_GMX50_barehelsing: 14 digithpcg: 144 144 144 - 60oidn: RT.hdr_alb_nrm.3840x2160 - CPU-Onlyoidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlyoidn: RTLightmap.hdr.4096x4096 - CPU-Onlyjohn-the-ripper: Blowfishjohn-the-ripper: bcryptjohn-the-ripper: WPA PSKkvazaar: Bosphorus 4K - Slowkvazaar: Bosphorus 4K - Mediumlammps: Rhodopsin Proteinlammps: 20k Atomsavifenc: 0liquid-dsp: 1 - 256 - 32liquid-dsp: 1 - 256 - 512liquid-dsp: 128 - 256 - 512liquid-dsp: 256 - 256 - 32liquid-dsp: 256 - 256 - 57liquid-dsp: 256 - 256 - 512luxcorerender: DLSC - CPUluxcorerender: Orange Juice - CPUmemcached: 1:100minibude: OpenMP - BM2minibude: OpenMP - BM2minife: Smallnamd: ATPase with 327,506 Atomsnamd: STMV with 1,066,628 Atomsnpb: LU.Cnpb: SP.Cnpb: IS.Dnpb: MG.Cnpb: CG.Cnumpy: nwchem: C240 Buckyballopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timeopenfoam: drivaerFastback, Medium Mesh Size - Execution Timeopenfoam: drivaerFastback, Small Mesh Size - Mesh Timeopenradioss: Cell Phone Drop Testopenradioss: INIVOL and Fluid Structure Interaction Drop Containeropenradioss: Chrysler Neon 1Mopenssl: RSA4096openssl: RSA4096openssl: SHA256openssl: SHA512openssl: AES-128-GCMopenssl: AES-256-GCMopenssl: ChaCha20openssl: ChaCha20-Poly1305openvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Noise Suppression Poconet-Like FP16 - CPUopenvino: Noise Suppression Poconet-Like FP16 - CPUopenvkl: vklBenchmarkCPU ISPCospray: gravity_spheres_volume/dim_512/pathtracer/real_timeospray: particle_volume/ao/real_timeospray: particle_volume/scivis/real_timeospray-studio: 1 - 4K - 1 - Path Tracer - CPUospray-studio: 1 - 4K - 16 - Path Tracer - CPUospray-studio: 1 - 4K - 32 - Path Tracer - CPUospray-studio: 3 - 4K - 1 - Path Tracer - CPUospray-studio: 3 - 4K - 16 - Path Tracer - CPUospray-studio: 3 - 4K - 32 - Path Tracer - CPUcompress-pbzip2: FreeBSD-13.0-RELEASE-amd64-memstick.img Compressionpennant: leblancbigpennant: sedovbigprimesieve: 1e12primesieve: 1e13pybench: Total For Average Test Timesqmcpack: Li2_STO_aequantlib: Multi-Threadedrelion: Basic - CPUrocksdb: Rand Readsecuremark: SecureMark-TLSspeedb: Rand Readspeedb: Read While Writingsrsran: PUSCH Processor Benchmark, Throughput Totalsrsran: PUSCH Processor Benchmark, Throughput Threadstockfish: Chess Benchmarksvt-av1: Preset 13 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 4 - Bosphorus 4Ktensorflow: CPU - 256 - ResNet-50tensorflow: CPU - 256 - AlexNettensorflow: CPU - 512 - ResNet-50build-gem5: Time To Compilebuild-godot: Time To Compilebuild-linux-kernel: allmodconfigbuild-llvm: Ninjabuild-nodejs: Time To Compileuvg266: Bosphorus 4K - Slowuvg266: Bosphorus 4K - Mediumuvg266: Bosphorus 4K - Very Fastwebp: Quality 100, Lossless, Highest Compressionincompact3d: X3D-benchmarking input.i3dxmrig: GhostRider - 1Mcompress-zstd: 19 - Compression Speedcompress-zstd: 19 - Decompression Speedcompress-zstd: 19, Long Mode - Compression Speedcompress-zstd: 19, Long Mode - Decompression SpeedEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e655241527037319761125043732.648448.072.377310.11976.203514.6338.2119.1245.75138.3619.841406490779.31809.27809.8721.123884226.128497137.4084117.9044111.285079.5329.87429133630114.65161.82763.90055.045.062.4019895419907885770240.3241.3042.85054.78640.8515380166728274667182293333352658666675442600000181793333315.3622.2613808558.426101.793244.07269114.413.335163.80313303092.49148567.257043.18159641.7865470.23962.281225.725.6042495.09106233.115117.6489.66109.7245479.71673091.21136373252834556808188712892990582331193699244990733060286053499260152310141.43225.86173795.430.25650.8049.0913533.204.67427.274.245717.195.52761.6941.9421512.072.852198.4814.417401.318.38238835.652336.403236.445510151617435274120319196413241.2634083.2388666.2211082.12325.39748272.933297665.1223.807505733525491451526671792107832814804.7224.5182135967283.702294.411121.05112.457234.682050.63254.02130.79983.435203.796110.529133.85728.8232.6082.890.83217.38342311601.925.52081.211.81970.810071501001858297634500046390.544845.2128.756218.771311.53128.2020.3111.0225.6774.2411.268348390576.76587.17598.3224.114247085.811993267.6986230.9736210.400260.1127.56029649544523.14239.76560.70376.736.743.22386082386474177466768.6168.8255.01966.77353.2653989600020527750228170000080642666678185800000318163333324.0235.229290017.4610701.175428.04765294.519.899365.03185313412.10152747.877503.01112588.9951319.46723.81159425.336945160.68287176.3980622.0377.7692.0485251.03351713.3223613640290875092061732512760030913228328059302315510034212371053141452663231.14414.32208220.830.73640.09149.8122159.648.3812591.547.5211033.618.631227.2378.0737263.744.973497.1727.3410251.0710.88424164.800061.687361.773753585301709163210067201490.8912382.3795133.8069651.39615.97664694.591566481.4169.698958354064365533969890739239400158940.9129.6362007178244.575248.697104.63810.015201.122085.02247.22140.59391.053248.28599.433117.82250.9655.6970.480.61196.31866515447.619.41520.59.291469.0436600424643225645466715401.610933.846.41206.58854.0660581.59594.01596.4928.412396678.9962523973694286.00256.97242.322574756747497613059.84158.143108.213607903333458733248263333450240000026697333332536300003049705.541366.39554.65646786.344257.1524153.151931.2163701.2227521.87699.301214.737.37380683.977509362.2671216.7391715332.51055054.586724440007494906764786091225212705156805063101492551695431084276794236.562708.944896.133.6732.71549.25465.8238.63153.47117.25547.0132.89110.98161.98519.0234.6651.07351.90199.4890.201.6827974.4737796.4303042.66731.46472469.609261141.5568339463266899569021111102410421848.27598146858166.097123.996246.660168.969202.9370.54240.2858024015.515.21266.68.641305.9OpenBenchmarking.org

7-Zip Compression

Test: Compression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e200K400K600K800K1000KSE +/- 4011.15, N = 3SE +/- 5680.94, N = 3SE +/- 652.77, N = 365524110071504366001. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

7-Zip Compression

Test: Decompression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e200K400K600K800K1000KSE +/- 344.02, N = 3SE +/- 150.31, N = 3SE +/- 414.91, N = 352703710018584246431. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

7-Zip Compression

Test: Decompression Rating

OpenBenchmarking.orgMIPS Per Watt, More Is Better7-Zip Compression 22.01Test: Decompression RatingEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e70014002100280035001634.383214.792612.52

7-Zip Compression

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.4322.5400.8EPYC 996538.9311.6408.2NVIDIA GH200 144G HBM3e42.0162.5246.0OpenBenchmarking.orgWatts, Fewer Is Better7-Zip Compression 22.01CPU Power Consumption Monitor110220330440550

Algebraic Multi-Grid Benchmark

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2EPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e700M1400M2100M2800M3500MSE +/- 7735064.17, N = 4SE +/- 2247127.13, N = 3SE +/- 3694072.61, N = 33197611250297634500022564546671. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi

Algebraic Multi-Grid Benchmark

OpenBenchmarking.orgFigure Of Merit Per Watt, More Is BetterAlgebraic Multi-Grid Benchmark 1.2EPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e3M6M9M12M15M10869334.8310018207.5215435851.48

Algebraic Multi-Grid Benchmark

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.3294.2401.4EPYC 996537.6297.1369.7NVIDIA GH200 144G HBM3e39.8146.2260.2OpenBenchmarking.orgWatts, Fewer Is BetterAlgebraic Multi-Grid Benchmark 1.2CPU Power Consumption Monitor110220330440550

ASKAP

Test: tConvolve MPI - Degridding

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - DegriddingEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e10K20K30K40K50KSE +/- 0.00, N = 3SE +/- 455.47, N = 13SE +/- 33.40, N = 343732.646390.515401.61. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

ASKAP

Test: tConvolve MPI - Gridding

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e10K20K30K40K50KSE +/- 369.83, N = 3SE +/- 526.44, N = 13SE +/- 58.46, N = 348448.044845.210933.81. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

ASKAP

Test: tConvolve MPI - Gridding

OpenBenchmarking.orgMpix/sec Per Watt, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e306090120150146.79144.3672.88

ASKAP

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.3330.0400.0EPYC 996538.2310.7396.7NVIDIA GH200 144G HBM3e41.4150.0265.8OpenBenchmarking.orgWatts, Fewer Is BetterASKAP 1.0CPU Power Consumption Monitor110220330440550

ASTC Encoder

Preset: Thorough

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: ThoroughEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e306090120150SE +/- 0.06, N = 5SE +/- 0.07, N = 6SE +/- 0.06, N = 472.38128.7646.411. (CXX) g++ options: -O3 -flto -pthread

ASTC Encoder

Preset: Thorough

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.7Preset: ThoroughEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e0.18180.36360.54540.72720.9090.3290.8080.286

ASTC Encoder

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.2219.9386.4EPYC 996538.2159.3364.0NVIDIA GH200 144G HBM3e39.1162.3263.1OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.7CPU Power Consumption Monitor100200300400500

ASTC Encoder

Preset: Very Thorough

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: Very ThoroughEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e510152025SE +/- 0.0104, N = 3SE +/- 0.0042, N = 3SE +/- 0.0008, N = 310.119718.77136.58851. (CXX) g++ options: -O3 -flto -pthread

ASTC Encoder

Preset: Very Thorough

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.7Preset: Very ThoroughEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e0.01690.03380.05070.06760.08450.0320.0750.030

ASTC Encoder

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.4314.2390.3EPYC 996538.1249.9374.6NVIDIA GH200 144G HBM3e39.8218.7261.2OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.7CPU Power Consumption Monitor100200300400500

ASTC Encoder

Preset: Exhaustive

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: ExhaustiveEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e3691215SE +/- 0.0055, N = 3SE +/- 0.0016, N = 4SE +/- 0.0036, N = 36.203511.53124.06601. (CXX) g++ options: -O3 -flto -pthread

ASTC Encoder

Preset: Exhaustive

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.7Preset: ExhaustiveEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e0.01040.02080.03120.04160.0520.0200.0460.018

ASTC Encoder

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.4312.4391.4EPYC 996538.5253.0377.8NVIDIA GH200 144G HBM3e42.1223.2267.3OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.7CPU Power Consumption Monitor100200300400500

Blender

Blend File: BMW27 - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: BMW27 - Compute: CPU-OnlyEPYC 9575FEPYC 996548121620SE +/- 0.06, N = 4SE +/- 0.02, N = 514.638.20

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.3298.8388.7EPYC 996538.3251.7384.4OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.1CPU Power Consumption Monitor100200300400500

Blender

Blend File: Classroom - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Classroom - Compute: CPU-OnlyEPYC 9575FEPYC 9965918273645SE +/- 0.06, N = 3SE +/- 0.04, N = 338.2120.31

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.3349.8389.2EPYC 996538.0322.0389.8OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.1CPU Power Consumption Monitor100200300400500

Blender

Blend File: Fishy Cat - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Fishy Cat - Compute: CPU-OnlyEPYC 9575FEPYC 9965510152025SE +/- 0.04, N = 3SE +/- 0.03, N = 419.1211.02

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.4322.0398.2EPYC 996537.8271.4392.6OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.1CPU Power Consumption Monitor110220330440550

Blender

Blend File: Pabellon Barcelona - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Pabellon Barcelona - Compute: CPU-OnlyEPYC 9575FEPYC 99651020304050SE +/- 0.03, N = 3SE +/- 0.08, N = 345.7525.67

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.3356.3394.4EPYC 996538.3319.9381.1OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.1CPU Power Consumption Monitor110220330440550

Blender

Blend File: Barbershop - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Barbershop - Compute: CPU-OnlyEPYC 9575FEPYC 9965306090120150SE +/- 0.10, N = 3SE +/- 0.08, N = 3138.3674.24

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.3378.8400.2EPYC 996538.2366.0403.4OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.1CPU Power Consumption Monitor110220330440550

Blender

Blend File: Junkshop - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Junkshop - Compute: CPU-OnlyEPYC 9575FEPYC 9965510152025SE +/- 0.04, N = 3SE +/- 0.06, N = 419.8411.26

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.5323.6400.8EPYC 996538.3278.1409.7OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.1CPU Power Consumption Monitor110220330440550

BRL-CAD

VGR Performance Metric

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.38.2VGR Performance MetricEPYC 9575FEPYC 99652M4M6M8M10M140649083483901. (CXX) g++ options: -std=c++17 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -ltcl8.6 -lnetpbm -lregex_brl -lz_brl -lassimp -ldl -lm -ltk8.6

BRL-CAD

VGR Performance Metric

OpenBenchmarking.orgVGR Performance Metric Per Watt, More Is BetterBRL-CAD 7.38.2VGR Performance MetricEPYC 9575FEPYC 996520K40K60K80K100K3698.5783197.80

BRL-CAD

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.4380.3401.3EPYC 996538.4100.3250.2OpenBenchmarking.orgWatts, Fewer Is BetterBRL-CAD 7.38.2CPU Power Consumption Monitor110220330440550

ClickHouse

100M Rows Hits Dataset, First Run / Cold Cache

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, First Run / Cold CacheEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e2004006008001000SE +/- 3.67, N = 3SE +/- 3.03, N = 3SE +/- 2.14, N = 3779.31576.76581.59MIN: 66.01 / MAX: 7500MIN: 89.55 / MAX: 5454.55MIN: 58.94 / MAX: 6666.67

ClickHouse

100M Rows Hits Dataset, Second Run

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Second RunEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e2004006008001000SE +/- 3.75, N = 3SE +/- 4.38, N = 3SE +/- 2.22, N = 3809.27587.17594.01MIN: 65.65 / MAX: 8571.43MIN: 92.02 / MAX: 6000MIN: 59.29 / MAX: 7500

ClickHouse

100M Rows Hits Dataset, Third Run

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Third RunEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e2004006008001000SE +/- 1.25, N = 3SE +/- 2.05, N = 3SE +/- 2.50, N = 3809.87598.32596.49MIN: 65.43 / MAX: 10000MIN: 91.19 / MAX: 6000MIN: 59.29 / MAX: 7500

ClickHouse

100M Rows Hits Dataset, Third Run

OpenBenchmarking.orgQueries Per Minute, Geo Mean Per Watt, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Third RunEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e2468104.1814.2027.980

ClickHouse

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.3193.7368.0EPYC 996538.2142.4305.3NVIDIA GH200 144G HBM3e40.074.7282.8OpenBenchmarking.orgWatts, Fewer Is BetterClickHouse 22.12.3.5CPU Power Consumption Monitor100200300400500

CloverLeaf

Input: clover_bm64_short

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm64_shortEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e714212835SE +/- 0.00, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 321.1224.1128.411. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

CloverLeaf

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.2332.1399.4EPYC 996538.1286.3339.7NVIDIA GH200 144G HBM3e41.4142.4183.4OpenBenchmarking.orgWatts, Fewer Is BetterCloverLeaf 1.3CPU Power Consumption Monitor110220330440550

Coremark

CoreMark Size 666 - Iterations Per Second

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e900K1800K2700K3600K4500KSE +/- 4584.67, N = 3SE +/- 2487.95, N = 3SE +/- 24238.24, N = 33884226.134247085.812396679.001. (CC) gcc options: -O2 -lrt" -lrt

Coremark

CoreMark Size 666 - Iterations Per Second

OpenBenchmarking.orgIterations/Sec Per Watt, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e4K8K12K16K20K12356.0816273.7520070.84

Coremark

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.0314.4399.6EPYC 996537.6261.0347.0NVIDIA GH200 144G HBM3e38.8119.4159.8OpenBenchmarking.orgWatts, Fewer Is BetterCoremark 1.0CPU Power Consumption Monitor110220330440550

CPU Power Consumption Monitor

Phoronix Test Suite System Monitoring

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e80160240320400Min: 19.17 / Avg: 313.09 / Max: 403.08Min: 19.04 / Avg: 275.17 / Max: 461.59Min: 38.42 / Avg: 170.19 / Max: 300.47

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonEPYC 9575FEPYC 996560120180240300SE +/- 0.08, N = 7SE +/- 0.09, N = 9137.41267.70MIN: 135.82 / MAX: 139.45MIN: 262.05 / MAX: 280.59

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonEPYC 9575FEPYC 99650.33620.67241.00861.34481.6810.5731.494

Embree

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.3239.9400.8EPYC 996538.0179.2397.6OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.3CPU Power Consumption Monitor110220330440550

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon Obj

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragon ObjEPYC 9575FEPYC 996550100150200250SE +/- 0.06, N = 4SE +/- 0.14, N = 5117.90230.97MIN: 116.73 / MAX: 119.59MIN: 225.48 / MAX: 241.14

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon Obj

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragon ObjEPYC 9575FEPYC 99650.36790.73581.10371.47161.83950.5801.635

Embree

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.2203.4400.4EPYC 996538.2141.3395.1OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.3CPU Power Consumption Monitor110220330440550

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownEPYC 9575FEPYC 996550100150200250SE +/- 0.10, N = 6SE +/- 0.14, N = 8111.29210.40MIN: 109.32 / MAX: 113.75MIN: 203.25 / MAX: 221.34

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownEPYC 9575FEPYC 99650.23090.46180.69270.92361.15450.4291.026

Embree

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.4259.5401.1EPYC 996538.0205.1399.1OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.3CPU Power Consumption Monitor110220330440550

FFmpeg

Encoder: libx265 - Scenario: Platform

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 7.0Encoder: libx265 - Scenario: PlatformEPYC 9575FEPYC 996520406080100SE +/- 0.09, N = 3SE +/- 0.06, N = 379.5360.111. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

FFmpeg

Encoder: libx265 - Scenario: Platform

OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 7.0Encoder: libx265 - Scenario: PlatformEPYC 9575FEPYC 99650.11430.22860.34290.45720.57150.4920.508

FFmpeg

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.3161.8226.0EPYC 996537.9118.2149.3OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 7.0CPU Power Consumption Monitor60120180240300

GPAW

Input: Carbon Nanotube

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 23.6Input: Carbon NanotubeEPYC 9575FEPYC 9965714212835SE +/- 0.21, N = 3SE +/- 0.02, N = 329.8727.561. (CC) gcc options: -shared -lxc -lblas -lmpi

GPAW

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.3351.8400.0EPYC 996538.1324.6416.9OpenBenchmarking.orgWatts, Fewer Is BetterGPAW 23.6CPU Power Consumption Monitor110220330440550

GraphicsMagick

Operation: Noise-Gaussian

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: Noise-GaussianEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e90180270360450SE +/- 1.00, N = 3SE +/- 1.00, N = 3SE +/- 0.00, N = 3291296397-lfreetype -lbz2-lfreetype -lbz21. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lsharpyuv -lwebp -lwebpmux -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lz -lm -lpthread -lgomp

GraphicsMagick

Operation: Noise-Gaussian

OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.43Operation: Noise-GaussianEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e0.53661.07321.60982.14642.6831.2951.7792.385

GraphicsMagick

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.4224.7243.8EPYC 996538.3166.4181.2NVIDIA GH200 144G HBM3e41.9166.4283.3OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.43CPU Power Consumption Monitor70140210280350

GraphicsMagick

Operation: Enhanced

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: EnhancedEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e110220330440550SE +/- 0.67, N = 3SE +/- 1.53, N = 3SE +/- 0.00, N = 3336495369-lfreetype -lbz2-lfreetype -lbz21. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lsharpyuv -lwebp -lwebpmux -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lz -lm -lpthread -lgomp

GraphicsMagick

Operation: Enhanced

OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.43Operation: EnhancedEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e0.41990.83981.25971.67962.09950.9861.8661.542

GraphicsMagick

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.3340.8367.5EPYC 996538.0265.3285.1NVIDIA GH200 144G HBM3e40.7239.3262.5OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.43CPU Power Consumption Monitor100200300400500

GraphicsMagick

Operation: Sharpen

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: SharpenEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e100200300400500SE +/- 0.33, N = 3SE +/- 0.88, N = 3SE +/- 0.00, N = 3301445428-lfreetype -lbz2-lfreetype -lbz21. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lsharpyuv -lwebp -lwebpmux -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lz -lm -lpthread -lgomp

GraphicsMagick

Operation: Sharpen

OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.43Operation: SharpenEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e0.360.721.081.441.80.9041.5361.600

GraphicsMagick

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.7333.1356.2EPYC 996538.4289.7312.1NVIDIA GH200 144G HBM3e42.8267.5300.5OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.43CPU Power Consumption Monitor100200300400500

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2024Implementation: MPI CPU - Input: water_GMX50_bareEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e612182430SE +/- 0.053, N = 3SE +/- 0.050, N = 3SE +/- 0.005, N = 314.65123.1426.002-O3 -lm-O3 -lm1. (CXX) g++ options:

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2024Implementation: MPI CPU - Input: water_GMX50_bareEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e0.0180.0360.0540.0720.090.0460.0800.028

GROMACS

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.3315.2400.1EPYC 996537.7288.8417.2NVIDIA GH200 144G HBM3e40.8212.1289.0OpenBenchmarking.orgWatts, Fewer Is BetterGROMACS 2024CPU Power Consumption Monitor110220330440550

Helsing

Digit Range: 14 digit

OpenBenchmarking.orgSeconds, Fewer Is BetterHelsing 1.0-betaDigit Range: 14 digitEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e1428425670SE +/- 0.23, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 361.8339.7756.971. (CC) gcc options: -O2 -pthread

Helsing

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.4346.7373.1EPYC 996538.6342.9387.2NVIDIA GH200 144G HBM3e40.6266.7291.3OpenBenchmarking.orgWatts, Fewer Is BetterHelsing 1.0-betaCPU Power Consumption Monitor100200300400500

High Performance Conjugate Gradient

X Y Z: 144 144 144 - RT: 60

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1X Y Z: 144 144 144 - RT: 60EPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e1428425670SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.14, N = 363.9060.7042.321. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -lmpi_cxx -lmpi

High Performance Conjugate Gradient

X Y Z: 144 144 144 - RT: 60

OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterHigh Performance Conjugate Gradient 3.1X Y Z: 144 144 144 - RT: 60EPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e0.05380.10760.16140.21520.2690.1630.1760.239

High Performance Conjugate Gradient

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.3391.5399.9EPYC 996538.2345.0387.5NVIDIA GH200 144G HBM3e40.6177.3218.6OpenBenchmarking.orgWatts, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Power Consumption Monitor110220330440550

Intel Open Image Denoise

Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.2Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-OnlyEPYC 9575FEPYC 9965246810SE +/- 0.00, N = 7SE +/- 0.00, N = 75.046.73

Intel Open Image Denoise

Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only

OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 2.2Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-OnlyEPYC 9575FEPYC 99650.00770.01540.02310.03080.03850.0210.034

Intel Open Image Denoise

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.3240.2389.0EPYC 996538.0199.8360.2OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 2.2CPU Power Consumption Monitor100200300400500

Intel Open Image Denoise

Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.2Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-OnlyEPYC 9575FEPYC 9965246810SE +/- 0.00, N = 7SE +/- 0.01, N = 75.066.74

Intel Open Image Denoise

Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only

OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 2.2Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-OnlyEPYC 9575FEPYC 99650.00770.01540.02310.03080.03850.0210.034

Intel Open Image Denoise

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.3237.7390.0EPYC 996538.2200.3356.3OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 2.2CPU Power Consumption Monitor100200300400500

Intel Open Image Denoise

Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.2Run: RTLightmap.hdr.4096x4096 - Device: CPU-OnlyEPYC 9575FEPYC 99650.72451.4492.17352.8983.6225SE +/- 0.00, N = 4SE +/- 0.00, N = 52.403.22

Intel Open Image Denoise

Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only

OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 2.2Run: RTLightmap.hdr.4096x4096 - Device: CPU-OnlyEPYC 9575FEPYC 99650.00290.00580.00870.01160.01450.0080.013

Intel Open Image Denoise

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.4292.0383.0EPYC 996538.0250.7355.3OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 2.2CPU Power Consumption Monitor100200300400500

John The Ripper

Test: Blowfish

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: BlowfishEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e80K160K240K320K400KSE +/- 41.32, N = 3SE +/- 201.40, N = 3SE +/- 19.86, N = 319895438608274756-m64 -lgmp -lbz2-m64 -lgmp -lbz21. (CC) gcc options: -lssl -lcrypto -fopenmp -lm -lrt -lz -ldl -lcrypt

John The Ripper

Test: Blowfish

OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 2023.03.14Test: BlowfishEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e2004006008001000562.771128.50508.72

John The Ripper

CPU Power Consumption Monitor

MinAvgMaxXeon 6980P50.8445.3539.8Xeon 6980P - DDR5-640050.4446.6539.6EPYC 996538.4341.7386.7EPYC 9575F38.4353.5400.3NVIDIA GH200 144G HBM3e41.0144.5164.9OpenBenchmarking.orgWatts, Fewer Is BetterJohn The Ripper 2023.03.14CPU Power Consumption Monitor140280420560700

John The Ripper

Test: bcrypt

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: bcryptEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e80K160K240K320K400KSE +/- 77.93, N = 3SE +/- 8.33, N = 3SE +/- 31.26, N = 319907838647474749-m64 -lgmp -lbz2-m64 -lgmp -lbz21. (CC) gcc options: -lssl -lcrypto -fopenmp -lm -lrt -lz -ldl -lcrypt

John The Ripper

Test: bcrypt

OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 2023.03.14Test: bcryptEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e2004006008001000561.711127.52517.44

John The Ripper

Test: WPA PSK

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: WPA PSKEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e400K800K1200K1600K2000KSE +/- 630.47, N = 3SE +/- 2333.33, N = 3SE +/- 14.15, N = 3857702177466776130-m64 -lgmp -lbz2-m64 -lgmp -lbz21. (CC) gcc options: -lssl -lcrypto -fopenmp -lm -lrt -lz -ldl -lcrypt

John The Ripper

Test: WPA PSK

OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 2023.03.14Test: WPA PSKEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e100020003000400050002539.284459.57525.73

John The Ripper

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.7337.8381.2EPYC 996538.3397.9449.6NVIDIA GH200 144G HBM3e41.0144.8161.9OpenBenchmarking.orgWatts, Fewer Is BetterJohn The Ripper 2023.03.14CPU Power Consumption Monitor120240360480600

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Slow

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: SlowEPYC 9575FEPYC 99651530456075SE +/- 0.02, N = 4SE +/- 0.16, N = 540.3268.611. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Slow

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: SlowEPYC 9575FEPYC 99650.06350.1270.19050.2540.31750.1410.282

Kvazaar

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.4285.5368.4EPYC 996538.0243.3354.3OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor100200300400500

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: MediumEPYC 9575FEPYC 99651530456075SE +/- 0.02, N = 4SE +/- 0.17, N = 541.3068.821. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: MediumEPYC 9575FEPYC 99650.06350.1270.19050.2540.31750.1460.282

Kvazaar

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.4283.8372.6EPYC 996538.1244.3356.2OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor100200300400500

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin ProteinEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e1326395265SE +/- 0.16, N = 11SE +/- 0.48, N = 15SE +/- 0.13, N = 1142.8555.0259.841. (CXX) g++ options: -O3 -lm -ldl

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin ProteinEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e0.21760.43520.65280.87041.0880.4620.4220.967

LAMMPS Molecular Dynamics Simulator

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.192.8302.5EPYC 996520.5130.4330.9NVIDIA GH200 144G HBM3e39.961.9280.4OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022CPU Power Consumption Monitor80160240320400

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e1530456075SE +/- 0.37, N = 3SE +/- 0.46, N = 3SE +/- 0.14, N = 354.7966.7758.141. (CXX) g++ options: -O3 -lm -ldl

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e0.04770.09540.14310.19080.23850.1410.1680.212

LAMMPS Molecular Dynamics Simulator

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.4388.8399.6EPYC 996537.8396.7422.8NVIDIA GH200 144G HBM3e40.1274.7292.0OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022CPU Power Consumption Monitor110220330440550

libavif avifenc

Encoder Speed: 0

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 0EPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e20406080100SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 340.8553.27108.211. (CXX) g++ options: -O3 -fPIC -lm

libavif avifenc

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.2201.2399.6EPYC 996538.0147.9311.6NVIDIA GH200 144G HBM3e38.868.6236.5OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 1.0CPU Power Consumption Monitor110220330440550

Liquid-DSP

Threads: 1 - Buffer Length: 256 - Filter Length: 32

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 1 - Buffer Length: 256 - Filter Length: 32EPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e13M26M39M52M65MSE +/- 63828.76, N = 3SE +/- 154211.98, N = 3SE +/- 32671.77, N = 35380166739896000607903331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Liquid-DSP

Threads: 1 - Buffer Length: 256 - Filter Length: 32

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 1.6Threads: 1 - Buffer Length: 256 - Filter Length: 32EPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e300K600K900K1200K1500K637828.74525714.321381459.61

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.484.491.2EPYC 996538.175.983.0NVIDIA GH200 144G HBM3e39.744.046.2OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor20406080100

Liquid-DSP

Threads: 1 - Buffer Length: 256 - Filter Length: 512

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 1 - Buffer Length: 256 - Filter Length: 512EPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e6M12M18M24M30MSE +/- 666.67, N = 3SE +/- 244710.59, N = 12SE +/- 33.33, N = 3282746672052775034587331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Liquid-DSP

Threads: 1 - Buffer Length: 256 - Filter Length: 512

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 1.6Threads: 1 - Buffer Length: 256 - Filter Length: 512EPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e70K140K210K280K350K325399.16266440.1482973.28

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.186.994.0EPYC 996537.977.082.5NVIDIA GH200 144G HBM3e38.841.742.9OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor20406080100

Liquid-DSP

Threads: 128 - Buffer Length: 256 - Filter Length: 512

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 128 - Buffer Length: 256 - Filter Length: 512EPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e500M1000M1500M2000M2500MSE +/- 1785434.90, N = 3SE +/- 1855622.09, N = 3SE +/- 488683.04, N = 3182293333322817000002482633331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Liquid-DSP

Threads: 128 - Buffer Length: 256 - Filter Length: 512

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 1.6Threads: 128 - Buffer Length: 256 - Filter Length: 512EPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e1.4M2.8M4.2M5.6M7M5541653.376644407.921396900.82

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.4329.0377.4EPYC 996538.8343.4397.5NVIDIA GH200 144G HBM3e38.7177.7203.0OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor110220330440550

Liquid-DSP

Threads: 256 - Buffer Length: 256 - Filter Length: 32

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 32EPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e2000M4000M6000M8000M10000MSE +/- 6072982.06, N = 3SE +/- 10497036.62, N = 3SE +/- 3002221.40, N = 35265866667806426666745024000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Liquid-DSP

Threads: 256 - Buffer Length: 256 - Filter Length: 32

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 32EPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e5M10M15M20M25M14781256.8823123930.3317535441.66

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.4356.3401.0EPYC 996538.4348.7397.1NVIDIA GH200 144G HBM3e41.2256.8292.1OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor110220330440550

Liquid-DSP

Threads: 256 - Buffer Length: 256 - Filter Length: 57

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 57EPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e2000M4000M6000M8000M10000MSE +/- 9980647.94, N = 3SE +/- 21733844.57, N = 3SE +/- 1675642.50, N = 35442600000818580000026697333331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Liquid-DSP

Threads: 256 - Buffer Length: 256 - Filter Length: 57

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 57EPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e5M10M15M20M25M15772371.3123573051.7611492978.86

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.4345.1391.3EPYC 996538.8347.3399.8NVIDIA GH200 144G HBM3e42.4232.3269.6OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor110220330440550

Liquid-DSP

Threads: 256 - Buffer Length: 256 - Filter Length: 512

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 512EPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e700M1400M2100M2800M3500MSE +/- 1319511.69, N = 3SE +/- 1602428.71, N = 3SE +/- 165227.12, N = 3181793333331816333332536300001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Liquid-DSP

Threads: 256 - Buffer Length: 256 - Filter Length: 512

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 512EPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e2M4M6M8M10M5494414.938815828.441400334.37

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.4330.9371.6EPYC 996538.5360.9416.7NVIDIA GH200 144G HBM3e42.5181.1204.9OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor110220330440550

LuxCoreRender

Scene: DLSC - Acceleration: CPU

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: CPUEPYC 9575FEPYC 9965612182430SE +/- 0.19, N = 4SE +/- 0.37, N = 1515.3624.02MIN: 14.74 / MAX: 17.33MIN: 21.26 / MAX: 31.63

LuxCoreRender

Scene: DLSC - Acceleration: CPU

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: CPUEPYC 9575FEPYC 99650.01490.02980.04470.05960.07450.0410.066

LuxCoreRender

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.3374.7401.1EPYC 996538.2366.0402.7OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.6CPU Power Consumption Monitor110220330440550

LuxCoreRender

Scene: Orange Juice - Acceleration: CPU

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: CPUEPYC 9575FEPYC 9965816243240SE +/- 0.25, N = 4SE +/- 0.69, N = 1522.2635.22MIN: 19.56 / MAX: 27.46MIN: 29.07 / MAX: 50.81

LuxCoreRender

Scene: Orange Juice - Acceleration: CPU

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: CPUEPYC 9575FEPYC 99650.02210.04420.06630.08840.11050.0610.098

LuxCoreRender

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.2367.3401.1EPYC 996538.0361.2413.4OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.6CPU Power Consumption Monitor110220330440550

Memcached

Set To Get Ratio: 1:100

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:100EPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e3M6M9M12M15MSE +/- 30489.72, N = 3SE +/- 70542.57, N = 3SE +/- 22880.28, N = 313808558.429290017.463049705.541. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Memcached

Set To Get Ratio: 1:100

OpenBenchmarking.orgOps/sec Per Watt, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:100EPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e9K18K27K36K45K39869.2735232.5927521.07

Memcached

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.3346.3402.0EPYC 996537.9263.7306.3NVIDIA GH200 144G HBM3e39.5110.8124.9OpenBenchmarking.orgWatts, Fewer Is BetterMemcached 1.6.19CPU Power Consumption Monitor110220330440550

Meta Performance Per Watts

Performance Per Watts

OpenBenchmarking.orgPerformance Per Watts, More Is BetterMeta Performance Per WattsPerformance Per WattsNVIDIA GH200 144G HBM3e50K100K150K200K250K227401.82

miniBUDE

Implementation: OpenMP - Input Deck: BM2

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2EPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e2K4K6K8K10KSE +/- 15.38, N = 3SE +/- 47.25, N = 4SE +/- 0.49, N = 36101.7910701.181366.40-march=native-march=native1. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -lm

miniBUDE

Implementation: OpenMP - Input Deck: BM2

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2EPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e90180270360450SE +/- 0.62, N = 3SE +/- 1.89, N = 4SE +/- 0.02, N = 3244.07428.0554.66-march=native-march=native-mcpu=native1. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -lm

miniBUDE

Implementation: OpenMP - Input Deck: BM2

OpenBenchmarking.orgBillion Interactions/s Per Watt, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2EPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e0.32580.65160.97741.30321.6290.7631.4480.255

miniBUDE

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.3319.7382.8EPYC 996537.8295.7388.6NVIDIA GH200 144G HBM3e41.1214.0244.9OpenBenchmarking.orgWatts, Fewer Is BetterminiBUDE 20210901CPU Power Consumption Monitor100200300400500

miniFE

Problem Size: Small

OpenBenchmarking.orgCG Mflops, More Is BetterminiFE 2.2Problem Size: SmallEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e15K30K45K60K75KSE +/- 50.38, N = 6SE +/- 21.96, N = 6SE +/- 346.24, N = 669114.465294.546786.31. (CXX) g++ options: -O3 -fopenmp -lmpi_cxx -lmpi

miniFE

Problem Size: Small

OpenBenchmarking.orgCG Mflops Per Watt, More Is BetterminiFE 2.2Problem Size: SmallEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e100200300400500372.32414.89453.14

miniFE

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.4185.6399.9EPYC 996537.8157.4341.3NVIDIA GH200 144G HBM3e42.4103.2197.0OpenBenchmarking.orgWatts, Fewer Is BetterminiFE 2.2CPU Power Consumption Monitor110220330440550

NAMD

Input: ATPase with 327,506 Atoms

OpenBenchmarking.orgns/day, More Is BetterNAMD 3.0b6Input: ATPase with 327,506 AtomsEPYC 9575FEPYC 9965510152025SE +/- 0.01, N = 3SE +/- 0.02, N = 313.3419.90

NAMD

Input: ATPase with 327,506 Atoms

OpenBenchmarking.orgns/day Per Watt, More Is BetterNAMD 3.0b6Input: ATPase with 327,506 AtomsEPYC 9575FEPYC 99650.04030.08060.12090.16120.20150.0560.179

NAMD

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.2236.1397.6EPYC 996537.8111.2383.0OpenBenchmarking.orgWatts, Fewer Is BetterNAMD 3.0b6CPU Power Consumption Monitor110220330440550

NAMD

Input: STMV with 1,066,628 Atoms

OpenBenchmarking.orgns/day, More Is BetterNAMD 3.0b6Input: STMV with 1,066,628 AtomsEPYC 9575FEPYC 99651.13222.26443.39664.52885.661SE +/- 0.00773, N = 3SE +/- 0.01244, N = 33.803135.03185

NAMD

Input: STMV with 1,066,628 Atoms

OpenBenchmarking.orgns/day Per Watt, More Is BetterNAMD 3.0b6Input: STMV with 1,066,628 AtomsEPYC 9575FEPYC 99650.00830.01660.02490.03320.04150.0140.037

NAMD

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.1276.0398.0EPYC 996538.0135.3374.0OpenBenchmarking.orgWatts, Fewer Is BetterNAMD 3.0b6CPU Power Consumption Monitor110220330440550

NAS Parallel Benchmarks

Test / Class: LU.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e70K140K210K280K350KSE +/- 1780.21, N = 6SE +/- 3237.26, N = 5SE +/- 235.16, N = 3303092.49313412.1044257.151. (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

NAS Parallel Benchmarks

Test / Class: LU.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e300600900120015001157.051309.07204.41

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.5262.0399.8EPYC 996538.5239.4392.4NVIDIA GH200 144G HBM3e41.1216.5254.9OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor110220330440550

NAS Parallel Benchmarks

Test / Class: SP.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.CEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e30K60K90K120K150KSE +/- 376.98, N = 5SE +/- 1227.63, N = 4SE +/- 60.46, N = 3148567.25152747.8724153.151. (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

NAS Parallel Benchmarks

Test / Class: SP.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.CEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e120240360480600518.54566.79105.21

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.2286.5399.7EPYC 996538.1269.5413.1NVIDIA GH200 144G HBM3e41.3229.6257.1OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor110220330440550

NAS Parallel Benchmarks

Test / Class: IS.D

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e16003200480064008000SE +/- 39.21, N = 6SE +/- 113.41, N = 15SE +/- 5.02, N = 37043.187503.011931.211. (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

NAS Parallel Benchmarks

Test / Class: IS.D

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e91827364530.3140.8314.06

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.2232.3399.8EPYC 996537.8183.8364.4NVIDIA GH200 144G HBM3e42.5137.4235.8OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor110220330440550

NAS Parallel Benchmarks

Test / Class: MG.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e30K60K90K120K150KSE +/- 1509.34, N = 15SE +/- 2066.13, N = 15SE +/- 28.42, N = 8159641.78112588.9963701.221. (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

NAS Parallel Benchmarks

Test / Class: MG.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e300600900120015001247.11791.79529.28

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.1128.0396.0EPYC 996537.9142.2373.9NVIDIA GH200 144G HBM3e41.3120.4274.2OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor110220330440550

NAS Parallel Benchmarks

Test / Class: CG.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e14K28K42K56K70KSE +/- 728.80, N = 15SE +/- 985.07, N = 15SE +/- 17.96, N = 665470.2351319.4627521.871. (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

NAS Parallel Benchmarks

Test / Class: CG.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e80160240320400381.14280.56175.40

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.1171.8399.7EPYC 996537.8182.9399.7NVIDIA GH200 144G HBM3e40.4156.9270.9OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor110220330440550

Numpy Benchmark

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e2004006008001000SE +/- 3.50, N = 3SE +/- 0.78, N = 3SE +/- 1.78, N = 3962.28723.81699.30

Numpy Benchmark

OpenBenchmarking.orgScore Per Watt, More Is BetterNumpy BenchmarkEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e4812162010.2918.87316.277

Numpy Benchmark

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.193.5100.9EPYC 996538.081.690.0NVIDIA GH200 144G HBM3e38.743.047.7OpenBenchmarking.orgWatts, Fewer Is BetterNumpy BenchmarkCPU Power Consumption Monitor20406080100

NWChem

Input: C240 Buckyball

OpenBenchmarking.orgSeconds, Fewer Is BetterNWChem 7.0.2Input: C240 BuckyballEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e300600900120015001225.71594.01214.7-m64-m641. (F9X) gfortran options: -lnwctask -lccsd -lmcscf -lselci -lmp2 -lmoints -lstepper -ldriver -loptim -lnwdft -lgradients -lcphf -lesp -lddscf -ldangchang -lguess -lhessian -lvib -lnwcutil -lrimp2 -lproperty -lsolvation -lnwints -lprepar -lnwmd -lnwpw -lofpw -lpaw -lpspw -lband -lnwpwlib -lcafe -lspace -lanalyze -lqhop -lpfft -ldplot -ldrdy -lvscf -lqmmm -lqmd -letrans -ltce -lbq -lmm -lcons -lperfm -ldntmc -lccca -ldimqm -lga -larmci -lpeigs -l64to32 -lopenblas -lpthread -lrt -llapack -lnwcblas -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz -lcomex -ffast-math -std=legacy -fdefault-integer-8 -finline-functions -O2

NWChem

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterNWChem 7.0.2CPU Power Consumption MonitorEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e70140210280350Min: 38.3 / Avg: 392.8 / Max: 400.06Min: 38.12 / Avg: 387.9 / Max: 409.94Min: 41.49 / Avg: 226.74 / Max: 281.44

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Execution Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Execution TimeEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e91827364525.6025.3437.37-m64 -lfiniteVolume -lmeshTools -lparallel -lregionModels-m64 -lfiniteVolume -lmeshTools -lparallel -lregionModels-mcpu=native -lfoamToVTK -ldynamicMesh -lfileFormats1. (CXX) g++ options: -std=c++14 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -llagrangian -lgenericPatchFields -lOpenFOAM -ldl -lm

OpenFOAM

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.8346.4399.6EPYC 996537.7322.4406.1NVIDIA GH200 144G HBM3e41.1200.0287.7OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10CPU Power Consumption Monitor110220330440550

OpenFOAM

Input: drivaerFastback, Medium Mesh Size - Mesh Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Mesh TimeEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e408012016020095.09160.6883.98-m64 -lfiniteVolume -lmeshTools -lparallel -lregionModels-m64 -lfiniteVolume -lmeshTools -lparallel -lregionModels-mcpu=native -lfoamToVTK -ldynamicMesh -lfileFormats1. (CXX) g++ options: -std=c++14 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -llagrangian -lgenericPatchFields -lOpenFOAM -ldl -lm

OpenFOAM

Input: drivaerFastback, Medium Mesh Size - Execution Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Execution TimeEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e80160240320400233.12176.40362.27-m64 -lfiniteVolume -lmeshTools -lparallel -lregionModels-m64 -lfiniteVolume -lmeshTools -lparallel -lregionModels-mcpu=native -lfoamToVTK -ldynamicMesh -lfileFormats1. (CXX) g++ options: -std=c++14 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -llagrangian -lgenericPatchFields -lOpenFOAM -ldl -lm

OpenFOAM

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.2388.3399.8EPYC 996538.1377.5408.6NVIDIA GH200 144G HBM3e41.1200.9291.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10CPU Power Consumption Monitor110220330440550

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Mesh Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Mesh TimeNVIDIA GH200 144G HBM3e4812162016.741. (CXX) g++ options: -std=c++14 -O3 -mcpu=native -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

OpenRadioss

Model: Cell Phone Drop Test

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Cell Phone Drop TestEPYC 9575FEPYC 9965510152025SE +/- 0.09, N = 3SE +/- 0.06, N = 317.6422.03

OpenRadioss

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.5285.2399.1EPYC 996538.6232.2389.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15CPU Power Consumption Monitor110220330440550

OpenRadioss

Model: INIVOL and Fluid Structure Interaction Drop Container

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: INIVOL and Fluid Structure Interaction Drop ContainerEPYC 9575FEPYC 996520406080100SE +/- 0.36, N = 3SE +/- 0.04, N = 389.6677.76

OpenRadioss

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.8369.6400.0EPYC 996538.9344.2406.7OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15CPU Power Consumption Monitor110220330440550

OpenRadioss

Model: Chrysler Neon 1M

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Chrysler Neon 1MEPYC 9575FEPYC 996520406080100SE +/- 0.09, N = 3SE +/- 0.41, N = 3109.7292.04

OpenRadioss

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.7350.4400.0EPYC 996538.4300.9408.4OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15CPU Power Consumption Monitor110220330440550

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.3Algorithm: RSA4096EPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e20K40K60K80K100KSE +/- 116.72, N = 3SE +/- 46.31, N = 3SE +/- 20.10, N = 345479.785251.015332.5-m64-m641. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.3Algorithm: RSA4096EPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e700K1400K2100K2800K3500KSE +/- 743.25, N = 3SE +/- 310.57, N = 3SE +/- 1377.88, N = 31673091.23351713.31055054.5-m64-m641. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgverify/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: RSA4096EPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e2K4K6K8K10K4395.328963.315640.20

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.5380.7400.8EPYC 996538.3373.9396.9NVIDIA GH200 144G HBM3e39.6187.1196.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.3CPU Power Consumption Monitor110220330440550

OpenSSL

Algorithm: SHA256

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: SHA256EPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e50000M100000M150000M200000M250000MSE +/- 38504291.58, N = 3SE +/- 865484415.00, N = 3SE +/- 97000421.20, N = 311363732528322361364029086724440007-m64-m641. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: SHA256

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: SHA256EPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e130M260M390M520M650M295380807.41591912038.17440489220.25

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.5384.7400.8EPYC 996538.4377.8402.0NVIDIA GH200 144G HBM3e41.2196.9273.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.3CPU Power Consumption Monitor110220330440550

OpenSSL

Algorithm: SHA512

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: SHA512EPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e20000M40000M60000M80000M100000MSE +/- 40355477.92, N = 3SE +/- 148724346.57, N = 3SE +/- 557471050.78, N = 4455680818878750920617349490676478-m64-m641. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: SHA512

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: SHA512EPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e50M100M150M200M250M118475697.80235679194.64248755218.22

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.6384.6400.9EPYC 996538.5371.3391.7NVIDIA GH200 144G HBM3e41.1199.0243.4OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.3CPU Power Consumption Monitor110220330440550

OpenSSL

Algorithm: AES-128-GCM

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: AES-128-GCMEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e500000M1000000M1500000M2000000M2500000MSE +/- 1089753853.94, N = 3SE +/- 1643367333.46, N = 3SE +/- 121548246.52, N = 312892990582332512760030913609122521270-m64-m641. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: AES-128-GCM

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: AES-128-GCMEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e1400M2800M4200M5600M7000M3601051103.716477196397.292139935369.45

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.0358.0377.9EPYC 996538.5387.9419.8NVIDIA GH200 144G HBM3e41.2284.6293.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.3CPU Power Consumption Monitor110220330440550

OpenSSL

Algorithm: AES-256-GCM

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: AES-256-GCMEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e500000M1000000M1500000M2000000M2500000MSE +/- 947677989.11, N = 3SE +/- 3767964201.90, N = 3SE +/- 82190365.25, N = 311936992449902283280593023515680506310-m64-m641. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: AES-256-GCM

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: AES-256-GCMEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e1300M2600M3900M5200M6500M3325699800.965989469249.571809281985.06

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.4358.9382.8EPYC 996538.4381.2412.5NVIDIA GH200 144G HBM3e43.5285.0293.6OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.3CPU Power Consumption Monitor110220330440550

OpenSSL

Algorithm: ChaCha20

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: ChaCha20EPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e300000M600000M900000M1200000M1500000MSE +/- 24295011.71, N = 3SE +/- 312050224.99, N = 3SE +/- 3236084.95, N = 37330602860531551003421237149255169543-m64-m641. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: ChaCha20

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: ChaCha20EPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e800M1600M2400M3200M4000M1908650939.883660529028.05768573496.68

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.6384.1401.2EPYC 996538.5423.7461.6NVIDIA GH200 144G HBM3e43.4194.2217.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.3CPU Power Consumption Monitor120240360480600

OpenSSL

Algorithm: ChaCha20-Poly1305

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: ChaCha20-Poly1305EPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e200000M400000M600000M800000M1000000MSE +/- 312635540.30, N = 3SE +/- 170992251.22, N = 3SE +/- 3328662.15, N = 34992601523101053141452663108427679423-m64-m641. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: ChaCha20-Poly1305

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: ChaCha20-Poly1305EPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e500M1000M1500M2000M2500M1303373595.942506574135.73535429561.19

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.3383.1400.8EPYC 996538.8420.2459.2NVIDIA GH200 144G HBM3e41.5202.5225.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.3CPU Power Consumption Monitor120240360480600

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection FP16-INT8 - Device: CPUEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e50100150200250SE +/- 0.09, N = 3SE +/- 0.69, N = 3SE +/- 0.00, N = 3141.43231.146.561. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Face Detection FP16-INT8 - Device: CPUEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e6001200180024003000SE +/- 0.13, N = 3SE +/- 1.17, N = 3SE +/- 2.14, N = 3225.86414.322708.94MIN: 173.52 / MAX: 443.02MIN: 2034.06 / MAX: 5676.51. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.4348.4377.7EPYC 996538.5337.5378.1NVIDIA GH200 144G HBM3e38.8160.7212.5OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor100200300400500

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e40K80K120K160K200KSE +/- 689.22, N = 3SE +/- 2422.71, N = 3SE +/- 6.97, N = 3173795.43208220.834896.131. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e0.82581.65162.47743.30324.129SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 30.250.733.67MIN: 0.14 / MAX: 57.97MIN: 1.08 / MAX: 40.711. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.7308.2330.5EPYC 996538.7328.4358.0NVIDIA GH200 144G HBM3e41.0118.2127.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor100200300400500

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Detection FP16 - Device: CPUEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e140280420560700SE +/- 0.93, N = 3SE +/- 5.55, N = 3SE +/- 0.09, N = 3650.80640.0932.711. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Detection FP16 - Device: CPUEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e120240360480600SE +/- 0.07, N = 3SE +/- 1.29, N = 3SE +/- 1.50, N = 349.09149.81549.25MIN: 54.22 / MAX: 226.99MIN: 332.02 / MAX: 748.71. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.7371.7400.8EPYC 996538.5358.1413.8NVIDIA GH200 144G HBM3e40.096.6136.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor110220330440550

OpenVINO

Model: Weld Porosity Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Weld Porosity Detection FP16-INT8 - Device: CPUEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e5K10K15K20K25KSE +/- 5.04, N = 3SE +/- 6.08, N = 3SE +/- 0.86, N = 313533.2022159.64465.821. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Weld Porosity Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Weld Porosity Detection FP16-INT8 - Device: CPUEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e918273645SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.07, N = 34.608.3838.63MIN: 2.36 / MAX: 11.16MIN: 2.46 / MAX: 47.2MIN: 23.06 / MAX: 413.241. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.8330.6355.4EPYC 996538.7333.5358.9NVIDIA GH200 144G HBM3e39.8122.4132.5OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor100200300400500

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16-INT8 - Device: CPUEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e3K6K9K12K15KSE +/- 12.36, N = 3SE +/- 17.14, N = 3SE +/- 0.10, N = 37427.2712591.54153.471. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16-INT8 - Device: CPUEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e306090120150SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 34.247.52117.25MIN: 114.47 / MAX: 135.851. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.4333.2357.4EPYC 996538.8373.2403.5NVIDIA GH200 144G HBM3e40.2154.0182.4OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor110220330440550

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Vehicle Bike Detection FP16 - Device: CPUEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e2K4K6K8K10KSE +/- 12.01, N = 3SE +/- 20.79, N = 3SE +/- 0.71, N = 35717.1911033.61547.011. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Vehicle Bike Detection FP16 - Device: CPUEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e816243240SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 35.528.6332.89MIN: 3.58 / MAX: 12.72MIN: 4.74 / MAX: 37.97MIN: 19.5 / MAX: 53.281. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.6297.8322.4EPYC 996538.7350.2386.6NVIDIA GH200 144G HBM3e41.2148.9161.7OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor100200300400500

OpenVINO

Model: Machine Translation EN To DE FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Machine Translation EN To DE FP16 - Device: CPUEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e30060090012001500SE +/- 0.37, N = 3SE +/- 1.87, N = 3SE +/- 0.03, N = 3761.691227.23110.981. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Machine Translation EN To DE FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Machine Translation EN To DE FP16 - Device: CPUEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e4080120160200SE +/- 0.02, N = 3SE +/- 0.12, N = 3SE +/- 0.04, N = 341.9478.07161.98MIN: 20.28 / MAX: 62.17MIN: 33.39 / MAX: 161.89MIN: 141.94 / MAX: 399.191. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.4372.0401.3EPYC 996538.8364.4410.0NVIDIA GH200 144G HBM3e41.2160.2178.5OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor110220330440550

OpenVINO

Model: Face Detection Retail FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection Retail FP16-INT8 - Device: CPUEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e8K16K24K32K40KSE +/- 45.20, N = 3SE +/- 31.19, N = 3SE +/- 0.10, N = 321512.0737263.74519.021. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Face Detection Retail FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Face Detection Retail FP16-INT8 - Device: CPUEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e816243240SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 32.854.9734.66MIN: 1.9 / MAX: 35.75MIN: 33.13 / MAX: 44.011. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.4335.2360.8EPYC 996539.2346.2374.4NVIDIA GH200 144G HBM3e41.3176.7194.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor100200300400500

OpenVINO

Model: Road Segmentation ADAS FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16-INT8 - Device: CPUEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e8001600240032004000SE +/- 1.81, N = 3SE +/- 6.65, N = 3SE +/- 0.02, N = 32198.483497.1751.071. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Road Segmentation ADAS FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16-INT8 - Device: CPUEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e80160240320400SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 314.4127.34351.90MIN: 342.58 / MAX: 423.031. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.5317.4342.3EPYC 996538.8333.6367.7NVIDIA GH200 144G HBM3e41.7147.9175.5OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor100200300400500

OpenVINO

Model: Noise Suppression Poconet-Like FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Noise Suppression Poconet-Like FP16 - Device: CPUEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e2K4K6K8K10KSE +/- 4.59, N = 3SE +/- 13.78, N = 3SE +/- 0.46, N = 37401.3110251.07199.481. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Noise Suppression Poconet-Like FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Noise Suppression Poconet-Like FP16 - Device: CPUEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e20406080100SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.21, N = 38.3810.8890.20MIN: 6.04 / MAX: 54.33MIN: 85.88 / MAX: 141.561. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.5345.0376.0EPYC 996539.1359.7403.1NVIDIA GH200 144G HBM3e41.0187.5212.8OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor110220330440550

OpenVKL

Benchmark: vklBenchmarkCPU ISPC

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 2.0.0Benchmark: vklBenchmarkCPU ISPCEPYC 9575FEPYC 99659001800270036004500SE +/- 0.67, N = 3SE +/- 0.33, N = 323884241MIN: 187 / MAX: 30690MIN: 349 / MAX: 46699

OpenVKL

Benchmark: vklBenchmarkCPU ISPC

OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 2.0.0Benchmark: vklBenchmarkCPU ISPCEPYC 9575FEPYC 996536912156.72212.597

OpenVKL

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 2.0.0CPU Power Consumption MonitorEPYC 9575FEPYC 996570140210280350Min: 38.22 / Avg: 355.24 / Max: 401.22Min: 38.06 / Avg: 336.66 / Max: 409.43

OSPRay

Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeEPYC 9575FEPYC 99651428425670SE +/- 0.01, N = 3SE +/- 0.02, N = 335.6564.80

OSPRay

Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 3.1Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeEPYC 9575FEPYC 99650.04120.08240.12360.16480.2060.0970.183

OSPRay

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.5367.4400.9EPYC 996538.1354.6403.8OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 3.1CPU Power Consumption Monitor110220330440550

OSPRay

Benchmark: particle_volume/ao/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: particle_volume/ao/real_timeEPYC 9575FEPYC 99651428425670SE +/- 0.01, N = 3SE +/- 0.02, N = 336.4061.69

OSPRay

Benchmark: particle_volume/ao/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 3.1Benchmark: particle_volume/ao/real_timeEPYC 9575FEPYC 99650.03830.07660.11490.15320.19150.0950.170

OSPRay

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.5381.7396.3EPYC 996538.4362.8379.4OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 3.1CPU Power Consumption Monitor110220330440550

OSPRay

Benchmark: particle_volume/scivis/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: particle_volume/scivis/real_timeEPYC 9575FEPYC 99651428425670SE +/- 0.01, N = 3SE +/- 0.05, N = 336.4561.77

OSPRay

Benchmark: particle_volume/scivis/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 3.1Benchmark: particle_volume/scivis/real_timeEPYC 9575FEPYC 99650.04280.08560.12840.17120.2140.1050.190

OSPRay

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.3346.8394.5EPYC 996538.2325.9379.2OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 3.1CPU Power Consumption Monitor110220330440550

OSPRay Studio

Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUEPYC 9575FEPYC 99652004006008001000SE +/- 2.19, N = 3SE +/- 0.33, N = 31015535

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.5337.6401.2EPYC 996538.2311.5391.4OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 1.0CPU Power Consumption Monitor110220330440550

OSPRay Studio

Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUEPYC 9575FEPYC 99653K6K9K12K15KSE +/- 1.76, N = 3SE +/- 7.81, N = 3161748530

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.5333.6401.2EPYC 996538.3335.2391.7OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 1.0CPU Power Consumption Monitor110220330440550

OSPRay Studio

Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUEPYC 9575FEPYC 99658K16K24K32K40KSE +/- 25.41, N = 3SE +/- 21.39, N = 33527417091

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.5307.8401.2EPYC 996538.3316.1391.9OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 1.0CPU Power Consumption Monitor110220330440550

OSPRay Studio

Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUEPYC 9575FEPYC 996530060090012001500SE +/- 0.33, N = 3SE +/- 0.33, N = 31203632

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.3339.6400.8EPYC 996538.3312.8391.1OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 1.0CPU Power Consumption Monitor110220330440550

OSPRay Studio

Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUEPYC 9575FEPYC 99654K8K12K16K20KSE +/- 28.92, N = 3SE +/- 10.12, N = 31919610067

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.3341.8401.2EPYC 996538.3302.0391.2OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 1.0CPU Power Consumption Monitor110220330440550

OSPRay Studio

Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUEPYC 9575FEPYC 99659K18K27K36K45KSE +/- 11.14, N = 3SE +/- 14.95, N = 34132420149

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.5319.0401.2EPYC 996538.4324.3392.9OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 1.0CPU Power Consumption Monitor110220330440550

Parallel BZIP2 Compression

FreeBSD-13.0-RELEASE-amd64-memstick.img Compression

OpenBenchmarking.orgSeconds, Fewer Is BetterParallel BZIP2 Compression 1.1.13FreeBSD-13.0-RELEASE-amd64-memstick.img CompressionEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e0.37860.75721.13581.51441.893SE +/- 0.009364, N = 15SE +/- 0.009424, N = 15SE +/- 0.004252, N = 151.2634080.8912381.6827971. (CXX) g++ options: -O2 -pthread -lbz2 -lpthread

Parallel BZIP2 Compression

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.2104.3361.5EPYC 996538.080.5240.4NVIDIA GH200 144G HBM3e40.068.7207.5OpenBenchmarking.orgWatts, Fewer Is BetterParallel BZIP2 Compression 1.1.13CPU Power Consumption Monitor100200300400500

Pennant

Test: leblancbig

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e1.00662.01323.01984.02645.033SE +/- 0.077441, N = 15SE +/- 0.017533, N = 7SE +/- 0.007724, N = 73.2388662.3795134.4737791. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

Pennant

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.2195.5397.8EPYC 996538.0172.4384.3NVIDIA GH200 144G HBM3e41.7140.4265.6OpenBenchmarking.orgWatts, Fewer Is BetterPennant 1.0.1CPU Power Consumption Monitor110220330440550

Pennant

Test: sedovbig

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e246810SE +/- 0.034501, N = 6SE +/- 0.046313, N = 15SE +/- 0.012489, N = 66.2211083.8069656.4303041. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

Pennant

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.2248.3399.7EPYC 996537.9197.4381.4NVIDIA GH200 144G HBM3e41.5150.9252.9OpenBenchmarking.orgWatts, Fewer Is BetterPennant 1.0.1CPU Power Consumption Monitor110220330440550

Primesieve

Length: 1e12

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 12.1Length: 1e12EPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e0.60011.20021.80032.40043.0005SE +/- 0.003, N = 11SE +/- 0.003, N = 12SE +/- 0.003, N = 102.1231.3962.6671. (CXX) g++ options: -O3

Primesieve

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.5146.3375.7EPYC 996538.2119.3378.8NVIDIA GH200 144G HBM3e41.8111.4254.2OpenBenchmarking.orgWatts, Fewer Is BetterPrimesieve 12.1CPU Power Consumption Monitor100200300400500

Primesieve

Length: 1e13

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 12.1Length: 1e13EPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e714212835SE +/- 0.03, N = 3SE +/- 0.01, N = 4SE +/- 0.01, N = 325.4015.9831.461. (CXX) g++ options: -O3

Primesieve

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.3321.0393.1EPYC 996538.5301.5387.0NVIDIA GH200 144G HBM3e40.9233.0271.7OpenBenchmarking.orgWatts, Fewer Is BetterPrimesieve 12.1CPU Power Consumption Monitor110220330440550

PyBench

Total For Average Test Times

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e160320480640800SE +/- 1.58, N = 4SE +/- 2.21, N = 4SE +/- 1.53, N = 3482646724

PyBench

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.181.497.6EPYC 996537.873.883.6NVIDIA GH200 144G HBM3e38.941.743.0OpenBenchmarking.orgWatts, Fewer Is BetterPyBench 2018-02-16CPU Power Consumption Monitor20406080100

QMCPACK

Input: Li2_STO_ae

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: Li2_STO_aeEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e20406080100SE +/- 0.39, N = 3SE +/- 0.32, N = 3SE +/- 0.31, N = 372.9394.5969.61-march=native-march=native-mcpu=native1. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -O3 -lm -ldl

QMCPACK

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.7376.4399.8EPYC 996538.3360.0391.3NVIDIA GH200 144G HBM3e41.5268.3298.1OpenBenchmarking.orgWatts, Fewer Is BetterQMCPACK 3.17.1CPU Power Consumption Monitor110220330440550

QuantLib

Configuration: Multi-Threaded

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e120K240K360K480K600KSE +/- 661.19, N = 3SE +/- 485.45, N = 3SE +/- 316.93, N = 3297665.1566481.4261141.51. (CXX) g++ options: -O3 -march=native -fPIE -pie

QuantLib

Configuration: Multi-Threaded

OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e30060090012001500897.441606.221209.80

QuantLib

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.5331.7399.4EPYC 996537.9352.7387.8NVIDIA GH200 144G HBM3e41.0215.9290.4OpenBenchmarking.orgWatts, Fewer Is BetterQuantLib 1.32CPU Power Consumption Monitor110220330440550

RELION

Test: Basic - Device: CPU

OpenBenchmarking.orgSeconds, Fewer Is BetterRELION 4.0.1Test: Basic - Device: CPUEPYC 9575FEPYC 996550100150200250SE +/- 3.85, N = 9SE +/- 3.21, N = 12223.81169.701. (CXX) g++ options: -fopenmp -std=c++11 -O3 -rdynamic -ldl -ltiff -lfftw3f -lfftw3 -lpng -ljpeg -lmpi_cxx -lmpi

RELION

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterRELION 4.0.1CPU Power Consumption MonitorEPYC 9575FEPYC 996570140210280350Min: 38.25 / Avg: 389.21 / Max: 399.75Min: 38.2 / Avg: 375.69 / Max: 395.47

RocksDB

Test: Random Read

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Random ReadEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e200M400M600M800M1000MSE +/- 1563552.18, N = 3SE +/- 1700402.40, N = 3SE +/- 143829.35, N = 3505733525958354064568339463-lpthread-lpthread1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti

RocksDB

Test: Random Read

OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 9.0Test: Random ReadEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e600K1200K1800K2400K3000K1462898.912704939.662103254.00

RocksDB

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.3345.7371.1EPYC 996538.0354.3380.0NVIDIA GH200 144G HBM3e40.1270.2291.0OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 9.0CPU Power Consumption Monitor100200300400500

SecureMark

Benchmark: SecureMark-TLS

OpenBenchmarking.orgmarks, More Is BetterSecureMark 1.0.4Benchmark: SecureMark-TLSEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e110K220K330K440K550KSE +/- 602.41, N = 3SE +/- 1741.58, N = 3SE +/- 785.55, N = 34914513655332668991. (CC) gcc options: -pedantic -O3

SecureMark

Benchmark: SecureMark-TLS

OpenBenchmarking.orgmarks Per Watt, More Is BetterSecureMark 1.0.4Benchmark: SecureMark-TLSEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e140028004200560070005300.984523.076404.02

SecureMark

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.192.796.6EPYC 996537.780.882.7NVIDIA GH200 144G HBM3e38.941.744.4OpenBenchmarking.orgWatts, Fewer Is BetterSecureMark 1.0.4CPU Power Consumption Monitor20406080100

Speedb

Test: Random Read

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Random ReadEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e200M400M600M800M1000MSE +/- 755684.49, N = 3SE +/- 370648.73, N = 3SE +/- 126199.44, N = 3526671792969890739569021111-lpthread-lpthread1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti

Speedb

Test: Random Read

OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Random ReadEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e600K1200K1800K2400K3000K1520207.332712772.812132224.78

Speedb

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.3346.4371.3EPYC 996538.2357.5383.6NVIDIA GH200 144G HBM3e42.0266.9286.5OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor100200300400500

Speedb

Test: Read While Writing

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Read While WritingEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e5M10M15M20M25MSE +/- 91725.44, N = 15SE +/- 505667.36, N = 15SE +/- 87939.63, N = 15107832812394001510241042-lpthread-lpthread1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti

Speedb

Test: Read While Writing

OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Read While WritingEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e16K32K48K64K80K28692.8276045.3556303.84

Speedb

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.5375.8400.8EPYC 996538.7314.8417.4NVIDIA GH200 144G HBM3e43.4181.9215.8OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor110220330440550

srsRAN Project

Test: PUSCH Processor Benchmark, Throughput Total

OpenBenchmarking.orgMbps, More Is BettersrsRAN Project 23.10.1-20240325Test: PUSCH Processor Benchmark, Throughput TotalEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e2K4K6K8K10KSE +/- 0.56, N = 3SE +/- 0.19, N = 3SE +/- 0.06, N = 34804.78940.91848.2-march=native -mavx2 -mavx -msse4.1 -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 3396.5 / MAX: 4805.8-march=native -mavx2 -mavx -msse4.1 -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 7191.5 / MAX: 8941.3MIN: 1042.6 / MAX: 1848.31. (CXX) g++ options: -O3 -fno-trapping-math -fno-math-errno -ldl

srsRAN Project

Test: PUSCH Processor Benchmark, Throughput Total

OpenBenchmarking.orgMbps Per Watt, More Is BettersrsRAN Project 23.10.1-20240325Test: PUSCH Processor Benchmark, Throughput TotalEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e71421283517.9328.6216.72

srsRAN Project

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.6268.0361.7EPYC 996539.0312.4368.2NVIDIA GH200 144G HBM3e41.3110.5134.1OpenBenchmarking.orgWatts, Fewer Is BettersrsRAN Project 23.10.1-20240325CPU Power Consumption Monitor100200300400500

srsRAN Project

Test: PUSCH Processor Benchmark, Throughput Thread

OpenBenchmarking.orgMbps, More Is BettersrsRAN Project 23.10.1-20240325Test: PUSCH Processor Benchmark, Throughput ThreadEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e50100150200250SE +/- 0.00, N = 5SE +/- 0.00, N = 3SE +/- 0.00, N = 3224.5129.675.0-march=native -mavx2 -mavx -msse4.1 -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 158.7-march=native -mavx2 -mavx -msse4.1 -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 105.8MIN: 531. (CXX) g++ options: -O3 -fno-trapping-math -fno-math-errno -ldl

srsRAN Project

Test: PUSCH Processor Benchmark, Throughput Thread

OpenBenchmarking.orgMbps Per Watt, More Is BettersrsRAN Project 23.10.1-20240325Test: PUSCH Processor Benchmark, Throughput ThreadEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e0.64421.28841.93262.57683.2212.8631.7511.797

srsRAN Project

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.378.494.6EPYC 996538.374.083.7NVIDIA GH200 144G HBM3e39.141.743.5OpenBenchmarking.orgWatts, Fewer Is BettersrsRAN Project 23.10.1-20240325CPU Power Consumption Monitor20406080100

Stockfish

Chess Benchmark

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 16.1Chess BenchmarkEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e80M160M240M320M400MSE +/- 2577463.33, N = 15SE +/- 2768351.23, N = 3SE +/- 1172057.21, N = 1518213596736200717898146858-m64 -msse -msse3 -mpopcnt -mavx2 -mbmi -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -msse4.1 -mssse3 -msse2 -mbmi2-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

Stockfish

Chess Benchmark

OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterStockfish 16.1Chess BenchmarkEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e200K400K600K800K1000K490782.75931347.77375426.89

Stockfish

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.7371.1401.2EPYC 996538.5388.7420.8NVIDIA GH200 144G HBM3e42.7261.4290.6OpenBenchmarking.orgWatts, Fewer Is BetterStockfish 16.1CPU Power Consumption Monitor110220330440550

SVT-AV1

Encoder Mode: Preset 13 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 13 - Input: Bosphorus 4KEPYC 9575FEPYC 996560120180240300SE +/- 7.85, N = 15SE +/- 5.92, N = 15283.70244.581. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-AV1

Encoder Mode: Preset 13 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 13 - Input: Bosphorus 4KEPYC 9575FEPYC 99650.55761.11521.67282.23042.7882.4782.445

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.1114.5297.7EPYC 996537.9100.0236.1OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 2.0CPU Power Consumption Monitor70140210280350

SVT-AV1

Encoder Mode: Preset 12 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 12 - Input: Bosphorus 4KEPYC 9575FEPYC 996560120180240300SE +/- 1.47, N = 9SE +/- 1.44, N = 9294.41248.701. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-AV1

Encoder Mode: Preset 12 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 12 - Input: Bosphorus 4KEPYC 9575FEPYC 99650.58121.16241.74362.32482.9062.5832.524

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.2114.0322.8EPYC 996537.998.5241.1OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 2.0CPU Power Consumption Monitor80160240320400

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 8 - Input: Bosphorus 4KEPYC 9575FEPYC 9965306090120150SE +/- 0.58, N = 7SE +/- 1.06, N = 6121.05104.641. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 8 - Input: Bosphorus 4KEPYC 9575FEPYC 99650.18560.37120.55680.74240.9280.7900.825

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.1153.2299.1EPYC 996537.9126.8237.7OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 2.0CPU Power Consumption Monitor80160240320400

SVT-AV1

Encoder Mode: Preset 4 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 4 - Input: Bosphorus 4KEPYC 9575FEPYC 99653691215SE +/- 0.13, N = 4SE +/- 0.03, N = 312.4610.021. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-AV1

Encoder Mode: Preset 4 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 4 - Input: Bosphorus 4KEPYC 9575FEPYC 99650.01670.03340.05010.06680.08350.0660.074

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.3187.3334.2EPYC 996537.8134.8221.3OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 2.0CPU Power Consumption Monitor80160240320400

TensorFlow

Device: CPU - Batch Size: 256 - Model: ResNet-50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: ResNet-50EPYC 9575FEPYC 996550100150200250SE +/- 0.13, N = 3SE +/- 0.20, N = 3234.68201.12

TensorFlow

Device: CPU - Batch Size: 256 - Model: ResNet-50

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: ResNet-50EPYC 9575FEPYC 99650.17390.34780.52170.69560.86950.7730.702

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.3303.7322.5EPYC 996538.0286.5307.5OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.16.1CPU Power Consumption Monitor80160240320400

TensorFlow

Device: CPU - Batch Size: 256 - Model: AlexNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: AlexNetEPYC 9575FEPYC 9965400800120016002000SE +/- 2.59, N = 4SE +/- 17.23, N = 42050.632085.02

TensorFlow

Device: CPU - Batch Size: 256 - Model: AlexNet

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: AlexNetEPYC 9575FEPYC 996536912158.73610.778

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.5234.7310.5EPYC 996538.3193.4260.2OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.16.1CPU Power Consumption Monitor80160240320400

TensorFlow

Device: CPU - Batch Size: 512 - Model: ResNet-50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 512 - Model: ResNet-50EPYC 9575FEPYC 996560120180240300SE +/- 0.17, N = 3SE +/- 0.31, N = 3254.02247.22

TensorFlow

Device: CPU - Batch Size: 512 - Model: ResNet-50

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 512 - Model: ResNet-50EPYC 9575FEPYC 99650.18430.36860.55290.73720.92150.7720.819

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.4329.2346.8EPYC 996538.2301.7329.7OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.16.1CPU Power Consumption Monitor100200300400500

Timed Gem5 Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Gem5 Compilation 23.0.1Time To CompileEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e4080120160200SE +/- 0.56, N = 3SE +/- 1.20, N = 3SE +/- 0.26, N = 3130.80140.59166.10

Timed Gem5 Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.5211.8401.3EPYC 996537.8163.6402.4NVIDIA GH200 144G HBM3e39.4118.8239.4OpenBenchmarking.orgWatts, Fewer Is BetterTimed Gem5 Compilation 23.0.1CPU Power Consumption Monitor110220330440550

Timed Godot Game Engine Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 4.0Time To CompileEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e306090120150SE +/- 0.37, N = 3SE +/- 0.19, N = 3SE +/- 0.28, N = 383.4491.05124.00

Timed Godot Game Engine Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.5249.1401.2EPYC 996539.2177.2410.2NVIDIA GH200 144G HBM3e39.3141.2272.9OpenBenchmarking.orgWatts, Fewer Is BetterTimed Godot Game Engine Compilation 4.0CPU Power Consumption Monitor110220330440550

Timed Linux Kernel Compilation

Build: allmodconfig

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.8Build: allmodconfigEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e50100150200250SE +/- 0.48, N = 3SE +/- 1.72, N = 3SE +/- 0.59, N = 3203.80248.29246.66

Timed Linux Kernel Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.5352.3401.2EPYC 996538.2307.8388.2NVIDIA GH200 144G HBM3e38.9229.8270.8OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 6.8CPU Power Consumption Monitor110220330440550

Timed LLVM Compilation

Build System: Ninja

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: NinjaEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e4080120160200SE +/- 0.08, N = 3SE +/- 0.77, N = 3SE +/- 0.09, N = 3110.5399.43168.97

Timed LLVM Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.4313.1401.2EPYC 996538.2254.0404.4NVIDIA GH200 144G HBM3e39.3167.1239.8OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 16.0CPU Power Consumption Monitor110220330440550

Timed Node.js Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 21.7.2Time To CompileEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e4080120160200SE +/- 0.26, N = 3SE +/- 0.70, N = 3SE +/- 0.15, N = 3133.86117.82202.94

Timed Node.js Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.6313.9401.2EPYC 996537.9257.7406.9NVIDIA GH200 144G HBM3e39.2181.0279.3OpenBenchmarking.orgWatts, Fewer Is BetterTimed Node.js Compilation 21.7.2CPU Power Consumption Monitor110220330440550

uvg266

Video Input: Bosphorus 4K - Video Preset: Slow

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: SlowEPYC 9575FEPYC 99651122334455SE +/- 0.00, N = 3SE +/- 0.05, N = 428.8250.96

uvg266

Video Input: Bosphorus 4K - Video Preset: Slow

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: SlowEPYC 9575FEPYC 99650.04120.08240.12360.16480.2060.0900.183

uvg266

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.3319.5384.7EPYC 996538.1278.8375.6OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor100200300400500

uvg266

Video Input: Bosphorus 4K - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: MediumEPYC 9575FEPYC 99651326395265SE +/- 0.02, N = 3SE +/- 0.03, N = 532.6055.69

uvg266

Video Input: Bosphorus 4K - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: MediumEPYC 9575FEPYC 99650.04570.09140.13710.18280.22850.1040.203

uvg266

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.5312.9383.4EPYC 996539.0274.3374.9OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor100200300400500

uvg266

Video Input: Bosphorus 4K - Video Preset: Very Fast

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Very FastEPYC 9575FEPYC 996520406080100SE +/- 0.12, N = 6SE +/- 0.11, N = 582.8970.48

uvg266

Video Input: Bosphorus 4K - Video Preset: Very Fast

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Very FastEPYC 9575FEPYC 99650.07670.15340.23010.30680.38350.3190.341

uvg266

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.3259.7393.5EPYC 996538.7206.8302.8OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor110220330440550

WebP Image Encode

Encode Settings: Quality 100, Lossless, Highest Compression

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Lossless, Highest CompressionEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e0.18680.37360.56040.74720.934SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.830.610.54-lpng16 -ljpeg -ltiff1. (CC) gcc options: -fvisibility=hidden -O2 -lm

WebP Image Encode

Encode Settings: Quality 100, Lossless, Highest Compression

OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Lossless, Highest CompressionEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e0.00270.00540.00810.01080.01350.0090.0070.012

WebP Image Encode

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.295.0114.3EPYC 996537.883.093.8NVIDIA GH200 144G HBM3e38.743.746.0OpenBenchmarking.orgWatts, Fewer Is BetterWebP Image Encode 1.2.4CPU Power Consumption Monitor4080120160200

Xcompact3d Incompact3d

Input: X3D-benchmarking input.i3d

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: X3D-benchmarking input.i3dEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e50100150200250SE +/- 1.26, N = 3SE +/- 0.30, N = 3SE +/- 0.29, N = 3217.38196.32240.291. (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

Xcompact3d Incompact3d

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.2389.8399.8EPYC 996538.4357.8389.5NVIDIA GH200 144G HBM3e42.2172.9253.2OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption Monitor110220330440550

Xmrig

Variant: GhostRider - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: GhostRider - Hash Count: 1MEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e3K6K9K12K15KSE +/- 508.75, N = 15SE +/- 53.68, N = 3SE +/- 0.17, N = 311601.915447.64015.5-maes-maes1. (CXX) g++ options: -fexceptions -fno-rtti -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Xmrig

Variant: GhostRider - Hash Count: 1M

OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: GhostRider - Hash Count: 1MEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e112233445530.5248.0428.69

Xmrig

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption MonitorEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e70140210280350Min: 38.21 / Avg: 380.2 / Max: 401.2Min: 38.1 / Avg: 321.57 / Max: 344.6Min: 41.25 / Avg: 139.96 / Max: 146.69

Zstd Compression

Compression Level: 19 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Compression SpeedEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e612182430SE +/- 0.12, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 325.519.415.21. (CC) gcc options: -O3 -pthread -lz -llzma

Zstd Compression

Compression Level: 19 - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Decompression SpeedEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e400800120016002000SE +/- 4.06, N = 3SE +/- 3.17, N = 3SE +/- 1.62, N = 32081.21520.51266.61. (CC) gcc options: -O3 -pthread -lz -llzma

Zstd Compression

Compression Level: 19 - Decompression Speed

OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Decompression SpeedEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e61218243018.1916.5427.05

Zstd Compression

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.2114.4155.8EPYC 996538.091.9112.9NVIDIA GH200 144G HBM3e39.146.854.5OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.4CPU Power Consumption Monitor4080120160200

Zstd Compression

Compression Level: 19, Long Mode - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Compression SpeedEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e3691215SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 311.809.298.641. (CC) gcc options: -O3 -pthread -lz -llzma

Zstd Compression

Compression Level: 19, Long Mode - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Decompression SpeedEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e400800120016002000SE +/- 9.59, N = 3SE +/- 9.80, N = 3SE +/- 5.67, N = 31970.81469.01305.91. (CC) gcc options: -O3 -pthread -lz -llzma

Zstd Compression

Compression Level: 19, Long Mode - Decompression Speed

OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Decompression SpeedEPYC 9575FEPYC 9965NVIDIA GH200 144G HBM3e71421283519.4116.9529.48

Zstd Compression

CPU Power Consumption Monitor

MinAvgMaxEPYC 9575F38.2101.5128.9EPYC 996537.986.7100.8NVIDIA GH200 144G HBM3e39.244.349.0OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.4CPU Power Consumption Monitor4080120160200

Phoronix Test Suite v10.8.5