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&sor&gru.

AMD 5th Gen EPYC 9005 Turin vs. NVIDIA GH200 Performance BenchmarksProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelCompilerFile-SystemScreen ResolutionDisplay DriverOpenCLEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3eAMD EPYC 9965 192-Core @ 2.25GHz (192 Cores / 384 Threads)AMD VOLCANO (RVOT1000D BIOS)AMD Device 153a12 x 64GB DDR5-6000MT/s Samsung M321R8GA0PB1-CCPKC2 x 1920GB KIOXIA KCD8XPUG1T92ASPEEDBroadcom NetXtreme BCM5720 PCIeUbuntu 24.046.10.0-phx (x86_64)GCC 13.2.0ext41920x1200AMD EPYC 9575F 64-Core @ 3.30GHz (64 Cores / 128 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 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 - 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 - 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 9965: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xb101018- EPYC 9575F: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xb002110- NVIDIA GH200 144G HBM3e: Scaling Governor: cppc_cpufreq performance (Boost: Disabled)Java Details- EPYC 9965, EPYC 9575F: OpenJDK Runtime Environment (build 21.0.3-ea+7-Ubuntu-1build1)Python Details- EPYC 9965: Python 3.12.2- EPYC 9575F: Python 3.12.2- NVIDIA GH200 144G HBM3e: Python 3.12.6Security Details- 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 - 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 - 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 Benchmarksminibude: OpenMP - BM2openssl: SHA256openssl: SHA512openssl: AES-128-GCMopenssl: AES-256-GCMopenssl: ChaCha20openssl: ChaCha20-Poly1305minife: Smallamg: openvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUffmpeg: libx265 - Platformopenvino: Person Detection FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Noise Suppression Poconet-Like FP16 - CPUembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objembree: Pathtracer ISPC - Crownsvt-av1: Preset 13 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 4 - Bosphorus 4Kkvazaar: Bosphorus 4K - Slowkvazaar: Bosphorus 4K - Mediumuvg266: Bosphorus 4K - Slowuvg266: Bosphorus 4K - Mediumuvg266: Bosphorus 4K - Very Fastminibude: OpenMP - BM2hpcg: 144 144 144 - 60xmrig: GhostRider - 1Moidn: RTLightmap.hdr.4096x4096 - CPU-Onlyoidn: RT.hdr_alb_nrm.3840x2160 - CPU-Onlyoidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlytensorflow: CPU - 256 - ResNet-50tensorflow: CPU - 256 - AlexNettensorflow: CPU - 512 - ResNet-50openvkl: vklBenchmarkCPU ISPCospray: gravity_spheres_volume/dim_512/pathtracer/real_timeospray: particle_volume/ao/real_timeospray: particle_volume/scivis/real_timegraphics-magick: Noise-Gaussiangraphics-magick: Enhancedgraphics-magick: Sharpencoremark: CoreMark Size 666 - Iterations Per Secondluxcorerender: DLSC - CPUluxcorerender: Orange Juice - CPUsecuremark: SecureMark-TLScompress-zstd: 19 - Compression Speedcompress-zstd: 19 - Decompression Speedcompress-zstd: 19, Long Mode - Compression Speedcompress-zstd: 19, Long Mode - Decompression Speedsrsran: PUSCH Processor Benchmark, Throughput Totalsrsran: PUSCH Processor Benchmark, Throughput Threadquantlib: Multi-Threadedcompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingwebp: Quality 100, Lossless, Highest Compressionaskap: tConvolve MPI - Degriddingaskap: tConvolve MPI - Griddingastcenc: Thoroughastcenc: Very Thoroughastcenc: Exhaustivestockfish: Chess Benchmarkgromacs: MPI CPU - water_GMX50_barelammps: Rhodopsin Proteinlammps: 20k Atomsnamd: ATPase with 327,506 Atomsnamd: STMV with 1,066,628 Atomsspeedb: Rand Readrocksdb: Rand Readspeedb: Read While Writingmemcached: 1:100clickhouse: 100M Rows Hits Dataset, First Run / Cold Cacheclickhouse: 100M Rows Hits Dataset, Second Runclickhouse: 100M Rows Hits Dataset, Third Runjohn-the-ripper: Blowfishjohn-the-ripper: bcryptjohn-the-ripper: WPA PSKliquid-dsp: 1 - 256 - 32liquid-dsp: 1 - 256 - 512liquid-dsp: 128 - 256 - 512liquid-dsp: 256 - 256 - 32liquid-dsp: 256 - 256 - 57liquid-dsp: 256 - 256 - 512numpy: openssl: RSA4096npb: LU.Cnpb: SP.Cnpb: IS.Dnpb: MG.Cnpb: CG.Copenssl: RSA4096brl-cad: VGR Performance Metricpennant: leblancbigpennant: sedovbigpybench: Total For Average Test Timesospray-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 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Person Detection FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Noise Suppression Poconet-Like FP16 - CPUbuild-linux-kernel: allmodconfigbuild-godot: Time To Compilebuild-nodejs: Time To Compilebuild-gem5: Time To Compilebuild-llvm: Ninjarelion: Basic - CPUcloverleaf: clover_bm64_shortgpaw: Carbon Nanotubenwchem: C240 Buckyballincompact3d: X3D-benchmarking input.i3dopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timeopenfoam: drivaerFastback, Medium Mesh Size - Execution Timeopenradioss: Cell Phone Drop Testopenradioss: INIVOL and Fluid Structure Interaction Drop Containeropenradioss: Chrysler Neon 1Mblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyblender: Barbershop - CPU-Onlyblender: Junkshop - CPU-Onlycompress-pbzip2: FreeBSD-13.0-RELEASE-amd64-memstick.img Compressionavifenc: 0helsing: 14 digitprimesieve: 1e12primesieve: 1e13openfoam: drivaerFastback, Small Mesh Size - Mesh Timeqmcpack: Li2_STO_aeEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e428.04722361364029087509206173251276003091322832805930231551003421237105314145266365294.52976345000231.14208220.8360.11640.0922159.6412591.5411033.611227.2337263.743497.1710251.07267.6986230.9736210.4002244.575248.697104.63810.01568.6168.8250.9655.6970.4810701.17560.703715447.63.226.736.74201.122085.02247.22424164.800061.687361.77372964954454247085.81199324.0235.2236553319.41520.59.291469.08940.9129.6566481.4100715010018580.6146390.544845.2128.756218.771311.531236200717823.14255.01966.77319.899365.03185969890739958354064239400159290017.46576.76587.17598.32386082386474177466739896000205277502281700000806426666781858000003181633333723.8185251.0313412.10152747.877503.01112588.9951319.463351713.383483902.3795133.8069656465358530170916321006720149414.320.73149.818.387.528.6378.074.9727.3410.88248.28591.053117.822140.59399.433169.69824.1127.5601594196.31866525.336945160.68287176.3980622.0377.7692.048.2020.3111.0225.6774.2411.260.89123853.26539.7651.39615.97694.591244.072113637325283455680818871289299058233119369924499073306028605349926015231069114.43197611250141.43173795.4379.53650.8013533.207427.275717.19761.6921512.072198.487401.31137.4084117.9044111.2850283.702294.411121.05112.45740.3241.3028.8232.6082.896101.79363.900511601.92.405.045.06234.682050.63254.02238835.652336.403236.44552913363013884226.12849715.3622.2649145125.52081.211.81970.84804.7224.5297665.16552415270370.8343732.648448.072.377310.11976.203518213596714.65142.85054.78613.335163.803135266717925057335251078328113808558.42779.31809.27809.8719895419907885770253801667282746671822933333526586666754426000001817933333962.2845479.7303092.49148567.257043.18159641.7865470.231673091.214064903.2388666.2211084821015161743527412031919641324225.860.2549.094.64.245.5241.942.8514.418.38203.79683.435133.857130.799110.529223.80721.1229.8741225.7217.38342325.6042495.09106233.115117.6489.66109.7214.6338.2119.1245.75138.3619.841.26340840.85161.8272.12325.39772.93354.656867244400074949067647860912252127051568050631014925516954310842767942346786.322564546676.564896.1332.71465.82153.47547.01110.98519.0251.07199.481366.39542.32254015.53973694282396678.99625226689915.21266.68.641305.91848.275261141.54366004246430.5415401.610933.846.41206.58854.0660981468586.00259.84158.143569021111568339463102410423049705.54581.59594.01596.4974756747497613060790333345873324826333345024000002669733333253630000699.3015332.544257.1524153.151931.2163701.2227521.871055054.54.4737796.4303047242708.943.67549.2538.63117.2532.89161.9834.66351.9090.20246.660123.996202.937166.097168.96928.411214.7240.28580237.37380683.977509362.267121.682797108.21356.9722.66731.46416.7391769.609OpenBenchmarking.org

CPU Power Consumption Monitor

Phoronix Test Suite System Monitoring

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringNVIDIA GH200 144G HBM3eEPYC 9965EPYC 9575F80160240320400Min: 38.42 / Avg: 170.19 / Max: 300.47Min: 19.04 / Avg: 275.17 / Max: 461.59Min: 19.17 / Avg: 313.09 / Max: 403.08

miniBUDE

Implementation: OpenMP - Input Deck: BM2

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2EPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e90180270360450SE +/- 1.89, N = 4SE +/- 0.62, N = 3SE +/- 0.02, N = 3428.05244.0754.66-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 9965EPYC 9575FNVIDIA GH200 144G HBM3e0.32580.65160.97741.30321.6291.4480.7630.255

OpenSSL

Algorithm: SHA256

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: SHA256EPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e50000M100000M150000M200000M250000MSE +/- 865484415.00, N = 3SE +/- 38504291.58, N = 3SE +/- 97000421.20, N = 322361364029011363732528386724440007-m64-m641. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: SHA512

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: SHA512EPYC 9965NVIDIA GH200 144G HBM3eEPYC 9575F20000M40000M60000M80000M100000MSE +/- 148724346.57, N = 3SE +/- 557471050.78, N = 4SE +/- 40355477.92, N = 3875092061734949067647845568081887-m64-m641. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: AES-128-GCM

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: AES-128-GCMEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e500000M1000000M1500000M2000000M2500000MSE +/- 1643367333.46, N = 3SE +/- 1089753853.94, N = 3SE +/- 121548246.52, N = 325127600309131289299058233609122521270-m64-m641. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: SHA256

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: SHA256EPYC 9965NVIDIA GH200 144G HBM3eEPYC 9575F130M260M390M520M650M591912038.17440489220.25295380807.41

OpenSSL

Algorithm: AES-256-GCM

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: AES-256-GCMEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e500000M1000000M1500000M2000000M2500000MSE +/- 3767964201.90, N = 3SE +/- 947677989.11, N = 3SE +/- 82190365.25, N = 322832805930231193699244990515680506310-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 9965EPYC 9575FNVIDIA GH200 144G HBM3e1400M2800M4200M5600M7000M6477196397.293601051103.712139935369.45

OpenSSL

Algorithm: ChaCha20

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: ChaCha20EPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e300000M600000M900000M1200000M1500000MSE +/- 312050224.99, N = 3SE +/- 24295011.71, N = 3SE +/- 3236084.95, N = 31551003421237733060286053149255169543-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 9965EPYC 9575FNVIDIA GH200 144G HBM3e1300M2600M3900M5200M6500M5989469249.573325699800.961809281985.06

OpenSSL

Algorithm: ChaCha20-Poly1305

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: ChaCha20-Poly1305EPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e200000M400000M600000M800000M1000000MSE +/- 170992251.22, N = 3SE +/- 312635540.30, N = 3SE +/- 3328662.15, N = 31053141452663499260152310108427679423-m64-m641. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: SHA512

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: SHA512NVIDIA GH200 144G HBM3eEPYC 9965EPYC 9575F50M100M150M200M250M248755218.22235679194.64118475697.80

OpenSSL

Algorithm: ChaCha20

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: ChaCha20EPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e800M1600M2400M3200M4000M3660529028.051908650939.88768573496.68

OpenSSL

Algorithm: ChaCha20-Poly1305

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: ChaCha20-Poly1305EPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e500M1000M1500M2000M2500M2506574135.731303373595.94535429561.19

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: SmallNVIDIA GH200 144G HBM3eEPYC 9965EPYC 9575F100200300400500453.14414.89372.32

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 1.2NVIDIA GH200 144G HBM3eEPYC 9575FEPYC 99653M6M9M12M15M15435851.4810869334.8310018207.52

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection FP16-INT8 - Device: CPUEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e50100150200250SE +/- 0.69, N = 3SE +/- 0.09, N = 3SE +/- 0.00, N = 3231.14141.436.561. (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.orgFPS, More Is BetterOpenVINO 2024.0Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e40K80K120K160K200KSE +/- 2422.71, N = 3SE +/- 689.22, N = 3SE +/- 6.97, N = 3208220.83173795.434896.131. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

FFmpeg

Encoder: libx265 - Scenario: Platform

OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 7.0Encoder: libx265 - Scenario: PlatformEPYC 9965EPYC 9575F0.11430.22860.34290.45720.57150.5080.492

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

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: Weld Porosity Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Weld Porosity Detection FP16-INT8 - Device: CPUEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e5K10K15K20K25KSE +/- 6.08, N = 3SE +/- 5.04, N = 3SE +/- 0.86, N = 322159.6413533.20465.821. (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.orgFPS, More Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16-INT8 - Device: CPUEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e3K6K9K12K15KSE +/- 17.14, N = 3SE +/- 12.36, N = 3SE +/- 0.10, N = 312591.547427.27153.471. (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.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Vehicle Bike Detection FP16 - Device: CPUEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e2K4K6K8K10KSE +/- 20.79, N = 3SE +/- 12.01, N = 3SE +/- 0.71, N = 311033.615717.19547.011. (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.orgFPS, More Is BetterOpenVINO 2024.0Model: Machine Translation EN To DE FP16 - Device: CPUEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e30060090012001500SE +/- 1.87, N = 3SE +/- 0.37, N = 3SE +/- 0.03, N = 31227.23761.69110.981. (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.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection Retail FP16-INT8 - Device: CPUEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e8K16K24K32K40KSE +/- 31.19, N = 3SE +/- 45.20, N = 3SE +/- 0.10, N = 337263.7421512.07519.021. (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.orgFPS, More Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16-INT8 - Device: CPUEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e8001600240032004000SE +/- 6.65, N = 3SE +/- 1.81, N = 3SE +/- 0.02, N = 33497.172198.4851.071. (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.orgFPS, More Is BetterOpenVINO 2024.0Model: Noise Suppression Poconet-Like FP16 - Device: CPUEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e2K4K6K8K10KSE +/- 13.78, N = 3SE +/- 4.59, N = 3SE +/- 0.46, N = 310251.077401.31199.481. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonEPYC 9965EPYC 9575F0.33620.67241.00861.34481.6811.4940.573

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownEPYC 9965EPYC 9575F0.23090.46180.69270.92361.15451.0260.429

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonEPYC 9965EPYC 9575F60120180240300SE +/- 0.09, N = 9SE +/- 0.08, N = 7267.70137.41MIN: 262.05 / MAX: 280.59MIN: 135.82 / MAX: 139.45

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon Obj

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragon ObjEPYC 9965EPYC 9575F50100150200250SE +/- 0.14, N = 5SE +/- 0.06, N = 4230.97117.90MIN: 225.48 / MAX: 241.14MIN: 116.73 / MAX: 119.59

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 9965EPYC 9575F0.06350.1270.19050.2540.31750.2820.141

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 9965EPYC 9575F0.07670.15340.23010.30680.38350.3410.319

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownEPYC 9965EPYC 9575F50100150200250SE +/- 0.14, N = 8SE +/- 0.10, N = 6210.40111.29MIN: 203.25 / MAX: 221.34MIN: 109.32 / MAX: 113.75

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 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

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 9965EPYC 9575F0.06350.1270.19050.2540.31750.2820.146

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 9965EPYC 9575F0.04120.08240.12360.16480.2060.1830.090

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 9965EPYC 9575F0.04570.09140.13710.18280.22850.2030.104

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 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

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Slow

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: SlowEPYC 9965EPYC 9575F1530456075SE +/- 0.16, N = 5SE +/- 0.02, N = 468.6140.321. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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 9965EPYC 9575F0.36790.73581.10371.47161.83951.6350.580

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

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

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: MediumEPYC 9965EPYC 9575F1530456075SE +/- 0.17, N = 5SE +/- 0.02, N = 468.8241.301. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

uvg266

Video Input: Bosphorus 4K - Video Preset: Slow

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: SlowEPYC 9965EPYC 9575F1122334455SE +/- 0.05, N = 4SE +/- 0.00, N = 350.9628.82

uvg266

Video Input: Bosphorus 4K - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: MediumEPYC 9965EPYC 9575F1326395265SE +/- 0.03, N = 5SE +/- 0.02, N = 355.6932.60

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 9965EPYC 9575F0.18560.37120.55680.74240.9280.8250.790

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 9965EPYC 9575F0.01670.03340.05010.06680.08350.0740.066

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

miniBUDE

Implementation: OpenMP - Input Deck: BM2

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2EPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e2K4K6K8K10KSE +/- 47.25, N = 4SE +/- 15.38, N = 3SE +/- 0.49, N = 310701.186101.791366.40-march=native-march=native1. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -lm

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: 60NVIDIA GH200 144G HBM3eEPYC 9965EPYC 9575F0.05380.10760.16140.21520.2690.2390.1760.163

Xmrig

Variant: GhostRider - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: GhostRider - Hash Count: 1MEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e3K6K9K12K15KSE +/- 53.68, N = 3SE +/- 508.75, N = 15SE +/- 0.17, N = 315447.611601.94015.5-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 9965EPYC 9575FNVIDIA GH200 144G HBM3e112233445548.0430.5228.69

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 9965EPYC 9575F0.72451.4492.17352.8983.6225SE +/- 0.00, N = 5SE +/- 0.00, N = 43.222.40

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 9965EPYC 9575F0.00770.01540.02310.03080.03850.0340.021

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 9965EPYC 9575F0.00770.01540.02310.03080.03850.0340.021

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 9965EPYC 9575F0.00290.00580.00870.01160.01450.0130.008

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 9965EPYC 9575F246810SE +/- 0.00, N = 7SE +/- 0.00, N = 76.735.04

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 9965EPYC 9575F246810SE +/- 0.01, N = 7SE +/- 0.00, N = 76.745.06

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

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

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: AlexNetEPYC 9965EPYC 9575F369121510.7788.736

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: 512 - Model: ResNet-50

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 512 - Model: ResNet-50EPYC 9965EPYC 9575F0.18430.36860.55290.73720.92150.8190.772

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: AlexNetEPYC 9965EPYC 9575F400800120016002000SE +/- 17.23, N = 4SE +/- 2.59, N = 42085.022050.63

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

OpenVKL

Benchmark: vklBenchmarkCPU ISPC

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 2.0.0Benchmark: vklBenchmarkCPU ISPCEPYC 9965EPYC 9575F9001800270036004500SE +/- 0.33, N = 3SE +/- 0.67, N = 342412388MIN: 349 / MAX: 46699MIN: 187 / MAX: 30690

OpenVKL

Benchmark: vklBenchmarkCPU ISPC

OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 2.0.0Benchmark: vklBenchmarkCPU ISPCEPYC 9965EPYC 9575F369121512.5976.722

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 9965EPYC 9575F1428425670SE +/- 0.02, N = 3SE +/- 0.01, N = 364.8035.65

OSPRay

Benchmark: particle_volume/ao/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: particle_volume/ao/real_timeEPYC 9965EPYC 9575F1428425670SE +/- 0.02, N = 3SE +/- 0.01, N = 361.6936.40

OSPRay

Benchmark: particle_volume/scivis/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: particle_volume/scivis/real_timeEPYC 9965EPYC 9575F1428425670SE +/- 0.05, N = 3SE +/- 0.01, N = 361.7736.45

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 9965EPYC 9575F0.04120.08240.12360.16480.2060.1830.097

OSPRay

Benchmark: particle_volume/ao/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 3.1Benchmark: particle_volume/ao/real_timeEPYC 9965EPYC 9575F0.03830.07660.11490.15320.19150.1700.095

OSPRay

Benchmark: particle_volume/scivis/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 3.1Benchmark: particle_volume/scivis/real_timeEPYC 9965EPYC 9575F0.04280.08560.12840.17120.2140.1900.105

GraphicsMagick

Operation: Noise-Gaussian

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: Noise-GaussianNVIDIA GH200 144G HBM3eEPYC 9965EPYC 9575F90180270360450SE +/- 0.00, N = 3SE +/- 1.00, N = 3SE +/- 1.00, N = 3397296291-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, More Is BetterGraphicsMagick 1.3.43Operation: EnhancedEPYC 9965NVIDIA GH200 144G HBM3eEPYC 9575F110220330440550SE +/- 1.53, N = 3SE +/- 0.00, N = 3SE +/- 0.67, N = 3495369336-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-GaussianNVIDIA GH200 144G HBM3eEPYC 9965EPYC 9575F0.53661.07321.60982.14642.6832.3851.7791.295

GraphicsMagick

Operation: Enhanced

OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.43Operation: EnhancedEPYC 9965NVIDIA GH200 144G HBM3eEPYC 9575F0.41990.83981.25971.67962.09951.8661.5420.986

GraphicsMagick

Operation: Sharpen

OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.43Operation: SharpenNVIDIA GH200 144G HBM3eEPYC 9965EPYC 9575F0.360.721.081.441.81.6001.5360.904

GraphicsMagick

Operation: Sharpen

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: SharpenEPYC 9965NVIDIA GH200 144G HBM3eEPYC 9575F100200300400500SE +/- 0.88, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3445428301-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

Coremark

CoreMark Size 666 - Iterations Per Second

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e900K1800K2700K3600K4500KSE +/- 2487.95, N = 3SE +/- 4584.67, N = 3SE +/- 24238.24, N = 34247085.813884226.132396679.001. (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 SecondNVIDIA GH200 144G HBM3eEPYC 9965EPYC 9575F4K8K12K16K20K20070.8416273.7512356.08

LuxCoreRender

Scene: DLSC - Acceleration: CPU

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: CPUEPYC 9965EPYC 9575F612182430SE +/- 0.37, N = 15SE +/- 0.19, N = 424.0215.36MIN: 21.26 / MAX: 31.63MIN: 14.74 / MAX: 17.33

LuxCoreRender

Scene: DLSC - Acceleration: CPU

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: CPUEPYC 9965EPYC 9575F0.01490.02980.04470.05960.07450.0660.041

LuxCoreRender

Scene: Orange Juice - Acceleration: CPU

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: CPUEPYC 9965EPYC 9575F816243240SE +/- 0.69, N = 15SE +/- 0.25, N = 435.2222.26MIN: 29.07 / MAX: 50.81MIN: 19.56 / MAX: 27.46

LuxCoreRender

Scene: Orange Juice - Acceleration: CPU

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: CPUEPYC 9965EPYC 9575F0.02210.04420.06630.08840.11050.0980.061

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-TLSNVIDIA GH200 144G HBM3eEPYC 9575FEPYC 9965140028004200560070006404.025300.984523.07

Zstd Compression

Compression Level: 19 - Decompression Speed

OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Decompression SpeedNVIDIA GH200 144G HBM3eEPYC 9575FEPYC 996561218243027.0518.1916.54

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 SpeedNVIDIA GH200 144G HBM3eEPYC 9575FEPYC 996571421283529.4819.4116.95

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, 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

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 9965EPYC 9575FNVIDIA GH200 144G HBM3e71421283528.6217.9316.72

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 9575FNVIDIA GH200 144G HBM3eEPYC 99650.64421.28841.93262.57683.2212.8631.7971.751

srsRAN Project

Test: PUSCH Processor Benchmark, Throughput Total

OpenBenchmarking.orgMbps, More Is BettersrsRAN Project 23.10.1-20240325Test: PUSCH Processor Benchmark, Throughput TotalEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e2K4K6K8K10KSE +/- 0.19, N = 3SE +/- 0.56, N = 3SE +/- 0.06, N = 38940.94804.71848.2-march=native -mavx2 -mavx -msse4.1 -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 7191.5 / MAX: 8941.3-march=native -mavx2 -mavx -msse4.1 -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 3396.5 / MAX: 4805.8MIN: 1042.6 / MAX: 1848.31. (CXX) g++ options: -O3 -fno-trapping-math -fno-math-errno -ldl

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

QuantLib

Configuration: Multi-Threaded

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e120K240K360K480K600KSE +/- 485.45, N = 3SE +/- 661.19, N = 3SE +/- 316.93, N = 3566481.4297665.1261141.51. (CXX) g++ options: -O3 -march=native -fPIE -pie

QuantLib

Configuration: Multi-Threaded

OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedEPYC 9965NVIDIA GH200 144G HBM3eEPYC 9575F300600900120015001606.221209.80897.44

7-Zip Compression

Test: Compression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e200K400K600K800K1000KSE +/- 5680.94, N = 3SE +/- 4011.15, N = 3SE +/- 652.77, N = 310071506552414366001. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

7-Zip Compression

Test: Decompression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e200K400K600K800K1000KSE +/- 150.31, N = 3SE +/- 344.02, N = 3SE +/- 414.91, N = 310018585270374246431. (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 9965NVIDIA GH200 144G HBM3eEPYC 9575F70014002100280035003214.792612.521634.38

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 CompressionNVIDIA GH200 144G HBM3eEPYC 9575FEPYC 99650.00270.00540.00810.01080.01350.0120.0090.007

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

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

Test: tConvolve MPI - Degridding

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - DegriddingEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e10K20K30K40K50KSE +/- 455.47, N = 13SE +/- 0.00, N = 3SE +/- 33.40, N = 346390.543732.615401.61. (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

ASTC Encoder

Preset: Thorough

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: ThoroughEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e306090120150SE +/- 0.07, N = 6SE +/- 0.06, N = 5SE +/- 0.06, N = 4128.7672.3846.411. (CXX) g++ options: -O3 -flto -pthread

ASTC Encoder

Preset: Thorough

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.7Preset: ThoroughEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e0.18180.36360.54540.72720.9090.8080.3290.286

ASTC Encoder

Preset: Very Thorough

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.7Preset: Very ThoroughEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e0.01690.03380.05070.06760.08450.0750.0320.030

ASTC Encoder

Preset: Very Thorough

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: Very ThoroughEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e510152025SE +/- 0.0042, N = 3SE +/- 0.0104, N = 3SE +/- 0.0008, N = 318.771310.11976.58851. (CXX) g++ options: -O3 -flto -pthread

ASTC Encoder

Preset: Exhaustive

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: ExhaustiveEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e3691215SE +/- 0.0016, N = 4SE +/- 0.0055, N = 3SE +/- 0.0036, N = 311.53126.20354.06601. (CXX) g++ options: -O3 -flto -pthread

ASTC Encoder

Preset: Exhaustive

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.7Preset: ExhaustiveEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e0.01040.02080.03120.04160.0520.0460.0200.018

Stockfish

Chess Benchmark

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 16.1Chess BenchmarkEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e80M160M240M320M400MSE +/- 2768351.23, N = 3SE +/- 2577463.33, N = 15SE +/- 1172057.21, N = 1536200717818213596798146858-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 9965EPYC 9575FNVIDIA GH200 144G HBM3e200K400K600K800K1000K931347.77490782.75375426.89

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2024Implementation: MPI CPU - Input: water_GMX50_bareEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e0.0180.0360.0540.0720.090.0800.0460.028

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2024Implementation: MPI CPU - Input: water_GMX50_bareEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e612182430SE +/- 0.050, N = 3SE +/- 0.053, N = 3SE +/- 0.005, N = 323.14214.6516.002-O3 -lm-O3 -lm1. (CXX) g++ options:

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin ProteinNVIDIA GH200 144G HBM3eEPYC 9575FEPYC 99650.21760.43520.65280.87041.0880.9670.4620.422

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsNVIDIA GH200 144G HBM3eEPYC 9965EPYC 9575F0.04770.09540.14310.19080.23850.2120.1680.141

NAMD

Input: ATPase with 327,506 Atoms

OpenBenchmarking.orgns/day Per Watt, More Is BetterNAMD 3.0b6Input: ATPase with 327,506 AtomsEPYC 9965EPYC 9575F0.04030.08060.12090.16120.20150.1790.056

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin ProteinNVIDIA GH200 144G HBM3eEPYC 9965EPYC 9575F1326395265SE +/- 0.13, N = 11SE +/- 0.48, N = 15SE +/- 0.16, N = 1159.8455.0242.851. (CXX) g++ options: -O3 -lm -ldl

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsEPYC 9965NVIDIA GH200 144G HBM3eEPYC 9575F1530456075SE +/- 0.46, N = 3SE +/- 0.14, N = 3SE +/- 0.37, N = 366.7758.1454.791. (CXX) g++ options: -O3 -lm -ldl

NAMD

Input: ATPase with 327,506 Atoms

OpenBenchmarking.orgns/day, More Is BetterNAMD 3.0b6Input: ATPase with 327,506 AtomsEPYC 9965EPYC 9575F510152025SE +/- 0.02, N = 3SE +/- 0.01, N = 319.9013.34

NAMD

Input: STMV with 1,066,628 Atoms

OpenBenchmarking.orgns/day Per Watt, More Is BetterNAMD 3.0b6Input: STMV with 1,066,628 AtomsEPYC 9965EPYC 9575F0.00830.01660.02490.03320.04150.0370.014

NAMD

Input: STMV with 1,066,628 Atoms

OpenBenchmarking.orgns/day, More Is BetterNAMD 3.0b6Input: STMV with 1,066,628 AtomsEPYC 9965EPYC 9575F1.13222.26443.39664.52885.661SE +/- 0.01244, N = 3SE +/- 0.00773, N = 35.031853.80313

Speedb

Test: Random Read

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Random ReadEPYC 9965NVIDIA GH200 144G HBM3eEPYC 9575F200M400M600M800M1000MSE +/- 370648.73, N = 3SE +/- 126199.44, N = 3SE +/- 755684.49, N = 3969890739569021111526671792-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 9965NVIDIA GH200 144G HBM3eEPYC 9575F600K1200K1800K2400K3000K2704939.662103254.001462898.91

Speedb

Test: Random Read

OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Random ReadEPYC 9965NVIDIA GH200 144G HBM3eEPYC 9575F600K1200K1800K2400K3000K2712772.812132224.781520207.33

Speedb

Test: Read While Writing

OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Read While WritingEPYC 9965NVIDIA GH200 144G HBM3eEPYC 9575F16K32K48K64K80K76045.3556303.8428692.82

RocksDB

Test: Random Read

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Random ReadEPYC 9965NVIDIA GH200 144G HBM3eEPYC 9575F200M400M600M800M1000MSE +/- 1700402.40, N = 3SE +/- 143829.35, N = 3SE +/- 1563552.18, N = 3958354064568339463505733525-lpthread-lpthread1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti

Speedb

Test: Read While Writing

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Read While WritingEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e5M10M15M20M25MSE +/- 505667.36, N = 15SE +/- 91725.44, N = 15SE +/- 87939.63, N = 15239400151078328110241042-lpthread-lpthread1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti

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

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

Meta Performance Per Watts

Performance Per Watts

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

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 RunNVIDIA GH200 144G HBM3eEPYC 9965EPYC 9575F2468107.9804.2024.181

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 9575FNVIDIA GH200 144G HBM3eEPYC 99652004006008001000SE +/- 3.67, N = 3SE +/- 2.14, N = 3SE +/- 3.03, N = 3779.31581.59576.76MIN: 66.01 / MAX: 7500MIN: 58.94 / MAX: 6666.67MIN: 89.55 / MAX: 5454.55

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 9575FNVIDIA GH200 144G HBM3eEPYC 99652004006008001000SE +/- 3.75, N = 3SE +/- 2.22, N = 3SE +/- 4.38, N = 3809.27594.01587.17MIN: 65.65 / MAX: 8571.43MIN: 59.29 / MAX: 7500MIN: 92.02 / MAX: 6000

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

John The Ripper

Test: Blowfish

OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 2023.03.14Test: BlowfishEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e20040060080010001128.50562.77508.72

John The Ripper

Test: bcrypt

OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 2023.03.14Test: bcryptEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e20040060080010001127.52561.71517.44

John The Ripper

Test: WPA PSK

OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 2023.03.14Test: WPA PSKEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e100020003000400050004459.572539.28525.73

John The Ripper

Test: Blowfish

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: BlowfishEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e80K160K240K320K400KSE +/- 201.40, N = 3SE +/- 41.32, N = 3SE +/- 19.86, N = 338608219895474756-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, More Is BetterJohn The Ripper 2023.03.14Test: bcryptEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e80K160K240K320K400KSE +/- 8.33, N = 3SE +/- 77.93, N = 3SE +/- 31.26, N = 338647419907874749-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, More Is BetterJohn The Ripper 2023.03.14Test: WPA PSKEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e400K800K1200K1600K2000KSE +/- 2333.33, N = 3SE +/- 630.47, N = 3SE +/- 14.15, N = 3177466785770276130-m64 -lgmp -lbz2-m64 -lgmp -lbz21. (CC) gcc options: -lssl -lcrypto -fopenmp -lm -lrt -lz -ldl -lcrypt

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: 32NVIDIA GH200 144G HBM3eEPYC 9575FEPYC 996513M26M39M52M65MSE +/- 32671.77, N = 3SE +/- 63828.76, N = 3SE +/- 154211.98, N = 36079033353801667398960001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

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

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 128 - Buffer Length: 256 - Filter Length: 512EPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e500M1000M1500M2000M2500MSE +/- 1855622.09, N = 3SE +/- 1785434.90, N = 3SE +/- 488683.04, N = 3228170000018229333332482633331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

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 9965EPYC 9575FNVIDIA GH200 144G HBM3e2000M4000M6000M8000M10000MSE +/- 10497036.62, N = 3SE +/- 6072982.06, N = 3SE +/- 3002221.40, N = 38064266667526586666745024000001. (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: 32NVIDIA GH200 144G HBM3eEPYC 9575FEPYC 9965300K600K900K1200K1500K1381459.61637828.74525714.32

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 9965EPYC 9575FNVIDIA GH200 144G HBM3e2000M4000M6000M8000M10000MSE +/- 21733844.57, N = 3SE +/- 9980647.94, N = 3SE +/- 1675642.50, N = 38185800000544260000026697333331. (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

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 9965EPYC 9575FNVIDIA GH200 144G HBM3e1.4M2.8M4.2M5.6M7M6644407.925541653.371396900.82

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 9965NVIDIA GH200 144G HBM3eEPYC 9575F5M10M15M20M25M23123930.3317535441.6614781256.88

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 9965EPYC 9575FNVIDIA GH200 144G HBM3e5M10M15M20M25M23573051.7615772371.3111492978.86

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 9965EPYC 9575FNVIDIA GH200 144G HBM3e2M4M6M8M10M8815828.445494414.931400334.37

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 9965EPYC 9575FNVIDIA GH200 144G HBM3e700M1400M2100M2800M3500MSE +/- 1602428.71, N = 3SE +/- 1319511.69, N = 3SE +/- 165227.12, N = 3318163333318179333332536300001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

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 BenchmarkNVIDIA GH200 144G HBM3eEPYC 9575FEPYC 99654812162016.27710.2918.873

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.3Algorithm: RSA4096EPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e20K40K60K80K100KSE +/- 46.31, N = 3SE +/- 116.72, N = 3SE +/- 20.10, N = 385251.045479.715332.5-m64-m641. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl

NAS Parallel Benchmarks

Test / Class: LU.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e300600900120015001309.071157.05204.41

NAS Parallel Benchmarks

Test / Class: SP.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.CEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e120240360480600566.79518.54105.21

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

Test / Class: LU.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e70K140K210K280K350KSE +/- 3237.26, N = 5SE +/- 1780.21, N = 6SE +/- 235.16, N = 3313412.10303092.4944257.151. (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: IS.D

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e91827364540.8330.3114.06

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

Test / Class: SP.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.CEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e30K60K90K120K150KSE +/- 1227.63, N = 4SE +/- 376.98, N = 5SE +/- 60.46, N = 3152747.87148567.2524153.151. (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: IS.D

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e16003200480064008000SE +/- 113.41, N = 15SE +/- 39.21, N = 6SE +/- 5.02, N = 37503.017043.181931.211. (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: 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: 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

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgverify/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: RSA4096EPYC 9965NVIDIA GH200 144G HBM3eEPYC 9575F2K4K6K8K10K8963.315640.204395.32

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.3Algorithm: RSA4096EPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e700K1400K2100K2800K3500KSE +/- 310.57, N = 3SE +/- 743.25, N = 3SE +/- 1377.88, N = 33351713.31673091.21055054.5-m64-m641. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl

BRL-CAD

VGR Performance Metric

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.38.2VGR Performance MetricEPYC 9965EPYC 9575F2M4M6M8M10M834839014064901. (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 9965EPYC 9575F20K40K60K80K100K83197.803698.57

Pennant

Test: leblancbig

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e1.00662.01323.01984.02645.033SE +/- 0.017533, N = 7SE +/- 0.077441, N = 15SE +/- 0.007724, N = 72.3795133.2388664.4737791. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

Pennant

Test: sedovbig

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e246810SE +/- 0.046313, N = 15SE +/- 0.034501, N = 6SE +/- 0.012489, N = 63.8069656.2211086.4303041. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

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

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 9965EPYC 9575F2004006008001000SE +/- 0.33, N = 3SE +/- 2.19, N = 35351015

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 9965EPYC 9575F3K6K9K12K15KSE +/- 7.81, N = 3SE +/- 1.76, N = 3853016174

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 9965EPYC 9575F8K16K24K32K40KSE +/- 21.39, N = 3SE +/- 25.41, N = 31709135274

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 9965EPYC 9575F30060090012001500SE +/- 0.33, N = 3SE +/- 0.33, N = 36321203

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 9965EPYC 9575F4K8K12K16K20KSE +/- 10.12, N = 3SE +/- 28.92, N = 31006719196

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 9965EPYC 9575F9K18K27K36K45KSE +/- 14.95, N = 3SE +/- 11.14, N = 32014941324

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

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

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

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

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

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

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

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

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

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

Timed Linux Kernel Compilation

Build: allmodconfig

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.8Build: allmodconfigEPYC 9575FNVIDIA GH200 144G HBM3eEPYC 996550100150200250SE +/- 0.48, N = 3SE +/- 0.59, N = 3SE +/- 1.72, N = 3203.80246.66248.29

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 Node.js Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 21.7.2Time To CompileEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e4080120160200SE +/- 0.70, N = 3SE +/- 0.26, N = 3SE +/- 0.15, N = 3117.82133.86202.94

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 LLVM Compilation

Build System: Ninja

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: NinjaEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e4080120160200SE +/- 0.77, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 399.43110.53168.97

RELION

Test: Basic - Device: CPU

OpenBenchmarking.orgSeconds, Fewer Is BetterRELION 4.0.1Test: Basic - Device: CPUEPYC 9965EPYC 9575F50100150200250SE +/- 3.21, N = 12SE +/- 3.85, N = 9169.70223.811. (CXX) g++ options: -fopenmp -std=c++11 -O3 -rdynamic -ldl -ltiff -lfftw3f -lfftw3 -lpng -ljpeg -lmpi_cxx -lmpi

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

GPAW

Input: Carbon Nanotube

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 23.6Input: Carbon NanotubeEPYC 9965EPYC 9575F714212835SE +/- 0.02, N = 3SE +/- 0.21, N = 327.5629.871. (CC) gcc options: -shared -lxc -lblas -lmpi

NWChem

Input: C240 Buckyball

OpenBenchmarking.orgSeconds, Fewer Is BetterNWChem 7.0.2Input: C240 BuckyballNVIDIA GH200 144G HBM3eEPYC 9575FEPYC 9965300600900120015001214.71225.71594.0-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

Xcompact3d Incompact3d

Input: X3D-benchmarking input.i3d

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: X3D-benchmarking input.i3dEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e50100150200250SE +/- 0.30, N = 3SE +/- 1.26, N = 3SE +/- 0.29, N = 3196.32217.38240.291. (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

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Execution Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Execution TimeEPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e91827364525.3425.6037.37-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

Input: drivaerFastback, Medium Mesh Size - Mesh Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Mesh TimeNVIDIA GH200 144G HBM3eEPYC 9575FEPYC 9965408012016020083.9895.09160.68-mcpu=native -lfoamToVTK -ldynamicMesh -lfileFormats-m64 -lfiniteVolume -lmeshTools -lparallel -lregionModels-m64 -lfiniteVolume -lmeshTools -lparallel -lregionModels1. (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 9965EPYC 9575FNVIDIA GH200 144G HBM3e80160240320400176.40233.12362.27-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

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

Model: INIVOL and Fluid Structure Interaction Drop Container

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: INIVOL and Fluid Structure Interaction Drop ContainerEPYC 9965EPYC 9575F20406080100SE +/- 0.04, N = 3SE +/- 0.36, N = 377.7689.66

OpenRadioss

Model: Chrysler Neon 1M

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Chrysler Neon 1MEPYC 9965EPYC 9575F20406080100SE +/- 0.41, N = 3SE +/- 0.09, N = 392.04109.72

Blender

Blend File: BMW27 - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: BMW27 - Compute: CPU-OnlyEPYC 9965EPYC 9575F48121620SE +/- 0.02, N = 5SE +/- 0.06, N = 48.2014.63

Blender

Blend File: Classroom - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Classroom - Compute: CPU-OnlyEPYC 9965EPYC 9575F918273645SE +/- 0.04, N = 3SE +/- 0.06, N = 320.3138.21

Blender

Blend File: Fishy Cat - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Fishy Cat - Compute: CPU-OnlyEPYC 9965EPYC 9575F510152025SE +/- 0.03, N = 4SE +/- 0.04, N = 311.0219.12

Blender

Blend File: Pabellon Barcelona - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Pabellon Barcelona - Compute: CPU-OnlyEPYC 9965EPYC 9575F1020304050SE +/- 0.08, N = 3SE +/- 0.03, N = 325.6745.75

Blender

Blend File: Barbershop - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Barbershop - Compute: CPU-OnlyEPYC 9965EPYC 9575F306090120150SE +/- 0.08, N = 3SE +/- 0.10, N = 374.24138.36

Blender

Blend File: Junkshop - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Junkshop - Compute: CPU-OnlyEPYC 9965EPYC 9575F510152025SE +/- 0.06, N = 4SE +/- 0.04, N = 311.2619.84

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 9965EPYC 9575FNVIDIA GH200 144G HBM3e0.37860.75721.13581.51441.893SE +/- 0.009424, N = 15SE +/- 0.009364, N = 15SE +/- 0.004252, N = 150.8912381.2634081.6827971. (CXX) g++ options: -O2 -pthread -lbz2 -lpthread

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

Helsing

Digit Range: 14 digit

OpenBenchmarking.orgSeconds, Fewer Is BetterHelsing 1.0-betaDigit Range: 14 digitEPYC 9965NVIDIA GH200 144G HBM3eEPYC 9575F1428425670SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.23, N = 339.7756.9761.831. (CC) gcc options: -O2 -pthread

Primesieve

Length: 1e12

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 12.1Length: 1e12EPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e0.60011.20021.80032.40043.0005SE +/- 0.003, N = 12SE +/- 0.003, N = 11SE +/- 0.003, N = 101.3962.1232.6671. (CXX) g++ options: -O3

Primesieve

Length: 1e13

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 12.1Length: 1e13EPYC 9965EPYC 9575FNVIDIA GH200 144G HBM3e714212835SE +/- 0.01, N = 4SE +/- 0.03, N = 3SE +/- 0.01, N = 315.9825.4031.461. (CXX) g++ options: -O3

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

QMCPACK

Input: Li2_STO_ae

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: Li2_STO_aeNVIDIA GH200 144G HBM3eEPYC 9575FEPYC 996520406080100SE +/- 0.31, N = 3SE +/- 0.39, N = 3SE +/- 0.32, N = 369.6172.9394.59-mcpu=native-march=native-march=native1. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -O3 -lm -ldl

Timed Linux Kernel Compilation

CPU Power Consumption Monitor

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

Timed Godot Game Engine Compilation

CPU Power Consumption Monitor

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

Timed Node.js Compilation

CPU Power Consumption Monitor

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

Timed Gem5 Compilation

CPU Power Consumption Monitor

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

Timed LLVM Compilation

CPU Power Consumption Monitor

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

OpenSSL

CPU Power Consumption Monitor

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

OpenSSL

CPU Power Consumption Monitor

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

OpenSSL

CPU Power Consumption Monitor

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

OpenSSL

CPU Power Consumption Monitor

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

OpenSSL

CPU Power Consumption Monitor

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

OpenSSL

CPU Power Consumption Monitor

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

OpenSSL

CPU Power Consumption Monitor

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

John The Ripper

CPU Power Consumption Monitor

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

John The Ripper

CPU Power Consumption Monitor

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

ClickHouse

CPU Power Consumption Monitor

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

Memcached

CPU Power Consumption Monitor

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

RocksDB

CPU Power Consumption Monitor

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

Speedb

CPU Power Consumption Monitor

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

Speedb

CPU Power Consumption Monitor

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

SecureMark

CPU Power Consumption Monitor

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

Coremark

CPU Power Consumption Monitor

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

Algebraic Multi-Grid Benchmark

CPU Power Consumption Monitor

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

RELION

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterRELION 4.0.1CPU Power Consumption MonitorEPYC 9965EPYC 9575F70140210280350Min: 38.2 / Avg: 375.69 / Max: 395.47Min: 38.25 / Avg: 389.21 / Max: 399.75

miniBUDE

CPU Power Consumption Monitor

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

LAMMPS Molecular Dynamics Simulator

CPU Power Consumption Monitor

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

LAMMPS Molecular Dynamics Simulator

CPU Power Consumption Monitor

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

miniFE

CPU Power Consumption Monitor

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

ASKAP

CPU Power Consumption Monitor

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

NAMD

CPU Power Consumption Monitor

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

NAMD

CPU Power Consumption Monitor

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

GROMACS

CPU Power Consumption Monitor

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

CloverLeaf

CPU Power Consumption Monitor

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

QuantLib

CPU Power Consumption Monitor

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

QMCPACK

CPU Power Consumption Monitor

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

GPAW

CPU Power Consumption Monitor

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

High Performance Conjugate Gradient

CPU Power Consumption Monitor

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

Pennant

CPU Power Consumption Monitor

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

Pennant

CPU Power Consumption Monitor

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

NAS Parallel Benchmarks

CPU Power Consumption Monitor

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

NAS Parallel Benchmarks

CPU Power Consumption Monitor

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

NAS Parallel Benchmarks

CPU Power Consumption Monitor

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

NAS Parallel Benchmarks

CPU Power Consumption Monitor

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

NAS Parallel Benchmarks

CPU Power Consumption Monitor

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

NWChem

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterNWChem 7.0.2CPU Power Consumption MonitorNVIDIA GH200 144G HBM3eEPYC 9965EPYC 9575F70140210280350Min: 41.49 / Avg: 226.74 / Max: 281.44Min: 38.12 / Avg: 387.9 / Max: 409.94Min: 38.3 / Avg: 392.8 / Max: 400.06

Xcompact3d Incompact3d

CPU Power Consumption Monitor

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

BRL-CAD

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterBRL-CAD 7.38.2CPU Power Consumption MonitorEPYC 9965EPYC 9575F70140210280350Min: 38.41 / Avg: 100.34 / Max: 250.17Min: 38.36 / Avg: 380.28 / Max: 401.28

OpenFOAM

CPU Power Consumption Monitor

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

OpenFOAM

CPU Power Consumption Monitor

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

OpenRadioss

CPU Power Consumption Monitor

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

OpenRadioss

CPU Power Consumption Monitor

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

OpenRadioss

CPU Power Consumption Monitor

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

Blender

CPU Power Consumption Monitor

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

Blender

CPU Power Consumption Monitor

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

Blender

CPU Power Consumption Monitor

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

Blender

CPU Power Consumption Monitor

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

Blender

CPU Power Consumption Monitor

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

Blender

CPU Power Consumption Monitor

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

LuxCoreRender

CPU Power Consumption Monitor

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

LuxCoreRender

CPU Power Consumption Monitor

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

OSPRay

CPU Power Consumption Monitor

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

OSPRay

CPU Power Consumption Monitor

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

OSPRay

CPU Power Consumption Monitor

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

OSPRay Studio

CPU Power Consumption Monitor

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

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

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

CPU Power Consumption Monitor

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

OSPRay Studio

CPU Power Consumption Monitor

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

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

Embree

CPU Power Consumption Monitor

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

Embree

CPU Power Consumption Monitor

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

Embree

CPU Power Consumption Monitor

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

Intel Open Image Denoise

CPU Power Consumption Monitor

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

Intel Open Image Denoise

CPU Power Consumption Monitor

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

Intel Open Image Denoise

CPU Power Consumption Monitor

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

OpenVKL

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 2.0.0CPU Power Consumption MonitorEPYC 9965EPYC 9575F70140210280350Min: 38.06 / Avg: 336.66 / Max: 409.43Min: 38.22 / Avg: 355.24 / Max: 401.22

7-Zip Compression

CPU Power Consumption Monitor

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

Parallel BZIP2 Compression

CPU Power Consumption Monitor

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

Zstd Compression

CPU Power Consumption Monitor

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

Zstd Compression

CPU Power Consumption Monitor

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

PyBench

CPU Power Consumption Monitor

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

Numpy Benchmark

CPU Power Consumption Monitor

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

SVT-AV1

CPU Power Consumption Monitor

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

SVT-AV1

CPU Power Consumption Monitor

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

SVT-AV1

CPU Power Consumption Monitor

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

SVT-AV1

CPU Power Consumption Monitor

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

Kvazaar

CPU Power Consumption Monitor

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

Kvazaar

CPU Power Consumption Monitor

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

uvg266

CPU Power Consumption Monitor

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

uvg266

CPU Power Consumption Monitor

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

uvg266

CPU Power Consumption Monitor

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

FFmpeg

CPU Power Consumption Monitor

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

WebP Image Encode

CPU Power Consumption Monitor

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

libavif avifenc

CPU Power Consumption Monitor

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

ASTC Encoder

CPU Power Consumption Monitor

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

ASTC Encoder

CPU Power Consumption Monitor

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

ASTC Encoder

CPU Power Consumption Monitor

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

GraphicsMagick

CPU Power Consumption Monitor

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

GraphicsMagick

CPU Power Consumption Monitor

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

GraphicsMagick

CPU Power Consumption Monitor

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

Liquid-DSP

CPU Power Consumption Monitor

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

Liquid-DSP

CPU Power Consumption Monitor

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

Liquid-DSP

CPU Power Consumption Monitor

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

Liquid-DSP

CPU Power Consumption Monitor

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

Liquid-DSP

CPU Power Consumption Monitor

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

Liquid-DSP

CPU Power Consumption Monitor

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

srsRAN Project

CPU Power Consumption Monitor

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

srsRAN Project

CPU Power Consumption Monitor

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

TensorFlow

CPU Power Consumption Monitor

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

TensorFlow

CPU Power Consumption Monitor

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

TensorFlow

CPU Power Consumption Monitor

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

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

CPU Power Consumption Monitor

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

Xmrig

CPU Power Consumption Monitor

MinAvgMaxNVIDIA GH200 144G HBM3e41.3140.0146.7EPYC 996538.1321.6344.6EPYC 9575F38.2380.2401.2OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor110220330440550

Helsing

CPU Power Consumption Monitor

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

Stockfish

CPU Power Consumption Monitor

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

Primesieve

CPU Power Consumption Monitor

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

Primesieve

CPU Power Consumption Monitor

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

Phoronix Test Suite v10.8.5