AMD Ryzen 9 9950X DDR5 Memory Performance

AMD Ryzen 9 9950X DDR5 memory module benchmarks by Michael Larabel for a future article.

HTML result view exported from: https://openbenchmarking.org/result/2408225-NE-RYZEN999510&grt&sro&rro.

AMD Ryzen 9 9950X DDR5 Memory PerformanceProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen Resolution2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38AMD Ryzen 9 9950X 16-Core @ 5.75GHz (16 Cores / 32 Threads)ASUS ROG STRIX X670E-E GAMING WIFI (2204 BIOS)AMD Device 14d82 x 16GB DDR5-6000MT/s G Skill F5-6000J3038F16G2000GB Corsair MP700 PROAMD Radeon RX 7900 GRE 16GBAMD Navi 31 HDMI/DPDELL U2723QEIntel I225-V + Intel Wi-Fi 6EUbuntu 24.046.10.0-phx (x86_64)GNOME Shell 46.0X Server + Wayland4.6 Mesa 24.2~git2406040600.8112d4~oibaf~n (git-8112d44 2024-06-04 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57)GCC 13.2.0ext43840x21602 x 32GB DDR5-6400MT/s Corsair CMK64GX5M2B6400C322 x 16GB DDR5-8000MT/s Corsair CMH32GX5M2X8000C362 x 24GB DDR5-8000MT/s Corsair CMP48GX5M2X8000C38OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --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-uJ7kn6/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xb40401aPython Details- Python 3.12.3Security Details- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected Java Details- 2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32, 2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36, 2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38: OpenJDK Runtime Environment (build 21.0.3+9-Ubuntu-1ubuntu1)

AMD Ryzen 9 9950X DDR5 Memory Performancecompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingblender: BMW27 - CPU-Onlyblender: Junkshop - CPU-Onlyblender: Barbershop - CPU-Onlybrl-cad: VGR Performance Metricbuild2: Time To Compileembree: Pathtracer ISPC - Crownembree: Pathtracer ISPC - Asian Dragonetcpak: Multi-Threaded - ETC2gromacs: water_GMX50_baregromacs: MPI CPU - water_GMX50_barehpcg: 104 104 104 - 60java-jmh: Throughputlczero: BLASlczero: Eigenlibxsmm: 128libxsmm: 32libxsmm: 64llama-cpp: Meta-Llama-3-8B-Instruct-Q8_0.ggufllamafile: Meta-Llama-3-8B-Instruct.F16 - CPUlulesh: luxcorerender: DLSC - CPUluxcorerender: Danish Mood - CPUluxcorerender: Orange Juice - CPUluxcorerender: LuxCore Benchmark - CPUluxcorerender: Rainbow Colors and Prism - CPUmbw: Memory Copy - 4096 MiBmbw: Memory Copy - 8192 MiBmbw: Memory Copy, Fixed Block Size - 4096 MiBmbw: Memory Copy, Fixed Block Size - 8192 MiBmemcached: 1:10memcached: 1:100minibude: OpenMP - BM1minibude: OpenMP - BM1minibude: OpenMP - BM2minibude: OpenMP - BM2namd: ATPase with 327,506 Atomsnamd: STMV with 1,066,628 Atomsnpb: BT.Cnpb: CG.Cnpb: EP.Cnpb: EP.Dnpb: FT.Cnpb: IS.Dnpb: LU.Cnpb: MG.Cnpb: SP.Bnpb: SP.Cnumpy: openfoam: motorBike - Mesh Timeopenfoam: motorBike - Execution Timeopenfoam: drivaerFastback, Small Mesh Size - Mesh Timeopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timeopenfoam: drivaerFastback, Medium Mesh Size - Execution Timeopenradioss: Bumper Beamopenradioss: Chrysler Neon 1Mopenradioss: Cell Phone Drop Testopenradioss: Bird Strike on Windshieldopenradioss: Rubber O-Ring Seal Installationopenradioss: INIVOL and Fluid Structure Interaction Drop Containerpovray: Trace Timepytorch: CPU - 1 - ResNet-50pytorch: CPU - 256 - ResNet-50quicksilver: CORAL2 P1ramspeed: Add - Integerramspeed: Copy - Integerramspeed: Scale - Integerramspeed: Triad - Integerramspeed: Average - Integersimdjson: Kostyasimdjson: TopTweetsimdjson: LargeRandspecfem3d: Mount St. Helensspecfem3d: Layered Halfspacespecfem3d: Tomographic Modelspecfem3d: Homogeneous Halfspacespecfem3d: Water-layered Halfspacestockfish: Chess Benchmarkstress-ng: Memory Copyingtensorflow: CPU - 1 - ResNet-50tensorflow: CPU - 64 - ResNet-50build-gem5: Time To Compilebuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigbuild-llvm: Ninjabuild-nodejs: Time To Compilex265: Bosphorus 4Kx265: Bosphorus 1080pincompact3d: input.i3d 129 Cells Per Directionincompact3d: input.i3d 193 Cells Per Directionxmrig: GhostRider - 1Mxnnpack: FP32MobileNetV2xnnpack: FP32MobileNetV3Largexnnpack: FP32MobileNetV3Smallxnnpack: FP16MobileNetV2xnnpack: FP16MobileNetV3Largexnnpack: FP16MobileNetV3Smallxnnpack: QU8MobileNetV2xnnpack: QU8MobileNetV3Largexnnpack: QU8MobileNetV3Smally-cruncher: 1By-cruncher: 500M2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C3819558515813346.3862.09448.9649896676.00336.553241.4914741.7841.9273.1418.9356091554717298.426226220472.0121.0237.18.364.689945.53095.404.628.645.1519.9922774.94722247.78419534.15919467.3945915791.347507615.731922.12576.8851934.61377.3853.410070.9808455287.3711144.883678.463823.8027106.181505.4759920.9624236.2121328.2814528.261068.3684.994958.569522.579849157.14898181.569052096.566476.90705.5544.90128.7653.16247.0616.10184.8957.542567666761079.9365797.0569141.0862428.7065503.937.7113.592.1225.69098664473.13879708423.35909292030.67791845772.1972605125137777810752.8116.9252.27221.13947.755590.495301.629345.24638.27134.5214.090555264.11302183616.6126415168129851291770759111875616.4527.58720306515751246.5662.21450.7149443777.00636.109940.9447739.7361.9963.2288.7973792045826799.54244236505.9128.0253.38.3210235.7225.424.698.645.1420.0822510.46422294.06220817.56920850.8835898565.347647187.481926.89177.0761931.14177.2463.604641.0160258570.7711374.513731.973714.6628891.861584.9362084.7225622.9322908.5815610.301070.6184.980257.245222.821389148.75845177.78941994.74777.18668.1643.42128.0153.23239.2216.13385.5258.892566000063967.7070747.0071754.5865845.2168588.847.6313.382.1124.95654992869.43938729923.00050134129.81843126869.5616424674919415510720.3117.3454.30219.26847.783589.331298.049341.67938.30134.4813.402805360.79924393638.6127315278159961303776765111576115.4267.24720081015700547.7263.41459.1248695477.92336.254641.7238734.5332.0093.2989.5160189012581592.653264247508.9132.2258.69.0010578.5165.364.658.555.0419.8422539.72022817.90020923.98920349.4145874747.737498825.191903.04076.1221904.95376.1983.577551.0242660124.0811908.473741.863739.1629713.551635.3464031.3126596.4623254.4016097.001046.9188.080755.573823.143631145.88323174.125721909.665577.45573.3343.25128.3253.66242.0016.39586.7958.492566666765113.5270345.5373724.8866963.0369491.427.5713.242.1025.19465363069.81742231123.28751738830.54298448768.9209356514997421010608.9617.3355.1948.258304.62138.07134.1912.974287058.19845963699.6127215538189971302773765112476415.6067.23647.5164.08459.1948978480.10435.182840.0696731.2299.1659090340365706.792227491.1127.0249.78.669832.63855.344.608.465.0519.3322093.98521444.00219747.58420124.9435694123.527350932.881899.80475.9921898.25875.9303.509580.9985258570.0311662.443722.563712.4528743.491586.5962375.4325715.3422436.8115531.761064.1785.474577.81124.3754.2716.31981.8956.192513666762771.0066545.2470445.7464832.8666822.497.5012.882.1125.45331906072.438348923.86945318131.98171567772.0794766585010139610608.8216.8153.5437.09131.2813.259573360.48058323676.512851590836101813347977831154786OpenBenchmarking.org

7-Zip Compression

Test: Compression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip CompressionTest: Compression Rating2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G40K80K120K160K200KSE +/- 467.61, N = 3SE +/- 94.03, N = 3SE +/- 322.74, N = 32030652008101955851. 7-Zip 23.01 (x64) : Copyright (c) 1999-2023 Igor Pavlov : 2023-06-20

7-Zip Compression

Test: Decompression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip CompressionTest: Decompression Rating2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G30K60K90K120K150KSE +/- 69.90, N = 3SE +/- 33.91, N = 3SE +/- 14.15, N = 31575121570051581331. 7-Zip 23.01 (x64) : Copyright (c) 1999-2023 Igor Pavlov : 2023-06-20

Blender

Blend File: BMW27 - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.2Blend File: BMW27 - Compute: CPU-Only2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G1122334455SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.01, N = 346.5647.5147.7246.38

Blender

Blend File: Junkshop - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.2Blend File: Junkshop - Compute: CPU-Only2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G1428425670SE +/- 0.03, N = 3SE +/- 0.17, N = 3SE +/- 0.08, N = 3SE +/- 0.12, N = 362.2164.0863.4162.09

Blender

Blend File: Barbershop - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.2Blend File: Barbershop - Compute: CPU-Only2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G100200300400500SE +/- 0.26, N = 3SE +/- 0.20, N = 3SE +/- 0.27, N = 3SE +/- 0.20, N = 3450.71459.19459.12448.96

BRL-CAD

VGR Performance Metric

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.38.2VGR Performance Metric2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G110K220K330K440K550K4944374897844869544989661. (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

Build2

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.17Time To Compile2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G20406080100SE +/- 0.52, N = 3SE +/- 0.99, N = 2SE +/- 0.40, N = 3SE +/- 0.16, N = 377.0180.1077.9276.00

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Crown2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G816243240SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 336.1135.1836.2536.55MIN: 35.69 / MAX: 36.98MIN: 34.83 / MAX: 36.01MIN: 35.89 / MAX: 36.94MIN: 36.13 / MAX: 37.34

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragon2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G1020304050SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 340.9440.0741.7241.49MIN: 40.73 / MAX: 41.6MIN: 39.86 / MAX: 40.55MIN: 41.48 / MAX: 42.26MIN: 41.24 / MAX: 42.02

Etcpak

Benchmark: Multi-Threaded - Configuration: ETC2

OpenBenchmarking.orgMpx/s, More Is BetterEtcpak 2.0Benchmark: Multi-Threaded - Configuration: ETC22 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G160320480640800SE +/- 0.38, N = 3SE +/- 0.82, N = 3SE +/- 1.36, N = 3SE +/- 1.25, N = 3739.74731.23734.53741.781. (CXX) g++ options: -flto -pthread

GROMACS

Input: water_GMX50_bare

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACSInput: water_GMX50_bare2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G0.4520.9041.3561.8082.26SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 31.9962.0091.9271. GROMACS version: 2023.3-Ubuntu_2023.3_1ubuntu3

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2024Implementation: MPI CPU - Input: water_GMX50_bare2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G0.74211.48422.22632.96843.7105SE +/- 0.004, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 33.2283.2983.1411. (CXX) g++ options: -O3 -lm

High Performance Conjugate Gradient

X Y Z: 104 104 104 - RT: 60

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1X Y Z: 104 104 104 - RT: 602 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G3691215SE +/- 0.00125, N = 3SE +/- 0.00584, N = 3SE +/- 0.00741, N = 3SE +/- 0.00142, N = 38.797379.165909.516018.935601. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -lmpi_cxx -lmpi

Java JMH

Throughput

OpenBenchmarking.orgOps/s, More Is BetterJava JMHThroughput2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G20000M40000M60000M80000M100000M92045826799.5490340365706.7989012581592.6591554717298.43

LeelaChessZero

Backend: BLAS

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.31.1Backend: BLAS2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G60120180240300SE +/- 2.91, N = 3SE +/- 3.79, N = 3SE +/- 2.65, N = 32442642261. (CXX) g++ options: -flto -pthread

LeelaChessZero

Backend: Eigen

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.31.1Backend: Eigen2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G50100150200250SE +/- 2.85, N = 3SE +/- 1.15, N = 3SE +/- 1.45, N = 32362272472201. (CXX) g++ options: -flto -pthread

libxsmm

M N K: 128

OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 1282 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G110220330440550SE +/- 0.10, N = 3SE +/- 0.33, N = 3SE +/- 0.09, N = 3SE +/- 0.38, N = 3505.9491.1508.9472.01. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -pedantic -O2 -fopenmp -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -march=core-avx2

libxsmm

M N K: 32

OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 322 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G306090120150SE +/- 0.07, N = 3SE +/- 0.26, N = 3SE +/- 0.19, N = 3SE +/- 0.07, N = 3128.0127.0132.2121.01. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -pedantic -O2 -fopenmp -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -march=core-avx2

libxsmm

M N K: 64

OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 642 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G60120180240300SE +/- 0.03, N = 3SE +/- 0.53, N = 3SE +/- 0.37, N = 3SE +/- 0.20, N = 3253.3249.7258.6237.11. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -pedantic -O2 -fopenmp -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -march=core-avx2

Llama.cpp

Model: Meta-Llama-3-8B-Instruct-Q8_0.gguf

OpenBenchmarking.orgTokens Per Second, More Is BetterLlama.cpp b3067Model: Meta-Llama-3-8B-Instruct-Q8_0.gguf2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G3691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 38.328.669.008.361. (CXX) g++ options: -std=c++11 -fPIC -O3 -pthread -march=native -mtune=native -lopenblas

Llamafile

Test: Meta-Llama-3-8B-Instruct.F16 - Acceleration: CPU

OpenBenchmarking.orgTokens Per Second, More Is BetterLlamafile 0.8.6Test: Meta-Llama-3-8B-Instruct.F16 - Acceleration: CPU2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G1.0532.1063.1594.2125.2654.68

LULESH

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.32 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G2K4K6K8K10KSE +/- 67.88, N = 3SE +/- 38.48, N = 3SE +/- 13.71, N = 3SE +/- 19.00, N = 310235.729832.6410578.529945.531. (CXX) g++ options: -O3 -fopenmp -lm -lmpi_cxx -lmpi

LuxCoreRender

Scene: DLSC - Acceleration: CPU

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: CPU2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G1.21952.4393.65854.8786.0975SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 35.425.345.365.40MIN: 5.31 / MAX: 5.77MIN: 5.23 / MAX: 5.69MIN: 5.25 / MAX: 5.7MIN: 5.27 / MAX: 5.72

LuxCoreRender

Scene: Danish Mood - Acceleration: CPU

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Danish Mood - Acceleration: CPU2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G1.05532.11063.16594.22125.2765SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 34.694.604.654.62MIN: 2.15 / MAX: 5.26MIN: 2.13 / MAX: 5.16MIN: 2.02 / MAX: 5.24MIN: 2.07 / MAX: 5.22

LuxCoreRender

Scene: Orange Juice - Acceleration: CPU

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: CPU2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 38.648.468.558.64MIN: 7.67 / MAX: 9.25MIN: 7.49 / MAX: 9.04MIN: 7.48 / MAX: 9.15MIN: 7.64 / MAX: 9.25

LuxCoreRender

Scene: LuxCore Benchmark - Acceleration: CPU

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: CPU2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G1.15882.31763.47644.63525.794SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 35.145.055.045.15MIN: 2.39 / MAX: 5.75MIN: 2.28 / MAX: 5.66MIN: 2.28 / MAX: 5.66MIN: 2.38 / MAX: 5.77

LuxCoreRender

Scene: Rainbow Colors and Prism - Acceleration: CPU

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Rainbow Colors and Prism - Acceleration: CPU2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G510152025SE +/- 0.15, N = 3SE +/- 0.13, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 320.0819.3319.8419.99MIN: 17.96 / MAX: 20.55MIN: 17.37 / MAX: 19.62MIN: 17.86 / MAX: 20.21MIN: 18.05 / MAX: 20.42

MBW

Test: Memory Copy - Array Size: 4096 MiB

OpenBenchmarking.orgMiB/s, More Is BetterMBW 2018-09-08Test: Memory Copy - Array Size: 4096 MiB2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G5K10K15K20K25KSE +/- 265.89, N = 3SE +/- 227.86, N = 15SE +/- 31.03, N = 3SE +/- 72.38, N = 322510.4622093.9922539.7222774.951. (CC) gcc options: -O3 -march=native

MBW

Test: Memory Copy - Array Size: 8192 MiB

OpenBenchmarking.orgMiB/s, More Is BetterMBW 2018-09-08Test: Memory Copy - Array Size: 8192 MiB2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G5K10K15K20K25KSE +/- 188.50, N = 12SE +/- 56.11, N = 3SE +/- 204.03, N = 3SE +/- 49.10, N = 322294.0621444.0022817.9022247.781. (CC) gcc options: -O3 -march=native

MBW

Test: Memory Copy, Fixed Block Size - Array Size: 4096 MiB

OpenBenchmarking.orgMiB/s, More Is BetterMBW 2018-09-08Test: Memory Copy, Fixed Block Size - Array Size: 4096 MiB2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G4K8K12K16K20KSE +/- 32.81, N = 3SE +/- 36.42, N = 3SE +/- 211.85, N = 3SE +/- 24.77, N = 320817.5719747.5820923.9919534.161. (CC) gcc options: -O3 -march=native

MBW

Test: Memory Copy, Fixed Block Size - Array Size: 8192 MiB

OpenBenchmarking.orgMiB/s, More Is BetterMBW 2018-09-08Test: Memory Copy, Fixed Block Size - Array Size: 8192 MiB2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G4K8K12K16K20KSE +/- 58.10, N = 3SE +/- 239.88, N = 3SE +/- 144.90, N = 15SE +/- 10.56, N = 320850.8820124.9420349.4119467.391. (CC) gcc options: -O3 -march=native

Memcached

Set To Get Ratio: 1:10

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:102 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G1.3M2.6M3.9M5.2M6.5MSE +/- 11599.22, N = 3SE +/- 4372.40, N = 3SE +/- 11157.27, N = 3SE +/- 15831.56, N = 35898565.345694123.525874747.735915791.341. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Memcached

Set To Get Ratio: 1:100

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:1002 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G1.6M3.2M4.8M6.4M8MSE +/- 87376.76, N = 3SE +/- 71150.32, N = 3SE +/- 43634.73, N = 3SE +/- 1150.91, N = 37647187.487350932.887498825.197507615.731. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

miniBUDE

Implementation: OpenMP - Input Deck: BM1

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM12 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G400800120016002000SE +/- 0.54, N = 3SE +/- 0.87, N = 3SE +/- 0.31, N = 3SE +/- 6.84, N = 31926.891899.801903.041922.131. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

miniBUDE

Implementation: OpenMP - Input Deck: BM1

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM12 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G20406080100SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.27, N = 377.0875.9976.1276.891. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

miniBUDE

Implementation: OpenMP - Input Deck: BM2

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM22 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G400800120016002000SE +/- 0.32, N = 3SE +/- 2.32, N = 3SE +/- 1.03, N = 3SE +/- 0.64, N = 31931.141898.261904.951934.611. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

miniBUDE

Implementation: OpenMP - Input Deck: BM2

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM22 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G20406080100SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 377.2575.9376.2077.391. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

NAMD

Input: ATPase with 327,506 Atoms

OpenBenchmarking.orgns/day, More Is BetterNAMD 3.0b6Input: ATPase with 327,506 Atoms2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G0.8111.6222.4333.2444.055SE +/- 0.03856, N = 3SE +/- 0.02740, N = 9SE +/- 0.02618, N = 15SE +/- 0.02586, N = 33.604643.509583.577553.41007

NAMD

Input: STMV with 1,066,628 Atoms

OpenBenchmarking.orgns/day, More Is BetterNAMD 3.0b6Input: STMV with 1,066,628 Atoms2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G0.23050.4610.69150.9221.1525SE +/- 0.00200, N = 3SE +/- 0.00137, N = 2SE +/- 0.00057, N = 3SE +/- 0.00027, N = 31.016020.998521.024260.98084

NAS Parallel Benchmarks

Test / Class: BT.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.C2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G13K26K39K52K65KSE +/- 8.10, N = 3SE +/- 74.71, N = 3SE +/- 85.26, N = 3SE +/- 54.79, N = 358570.7758570.0360124.0855287.371. (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.C2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G3K6K9K12K15KSE +/- 36.86, N = 3SE +/- 41.76, N = 3SE +/- 10.26, N = 3SE +/- 21.24, N = 311374.5111662.4411908.4711144.881. (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: EP.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.C2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G8001600240032004000SE +/- 53.14, N = 3SE +/- 21.03, N = 3SE +/- 17.86, N = 3SE +/- 25.12, N = 33731.973722.563741.863678.461. (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: EP.D

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.D2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G8001600240032004000SE +/- 36.74, N = 3SE +/- 51.16, N = 3SE +/- 40.74, N = 3SE +/- 2.85, N = 33714.663712.453739.163823.801. (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: FT.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.C2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G6K12K18K24K30KSE +/- 30.67, N = 3SE +/- 113.15, N = 3SE +/- 95.45, N = 3SE +/- 141.73, N = 328891.8628743.4929713.5527106.181. (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.D2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G400800120016002000SE +/- 2.77, N = 3SE +/- 5.23, N = 3SE +/- 4.49, N = 3SE +/- 5.33, N = 31584.931586.591635.341505.471. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

NAS Parallel Benchmarks

Test / Class: LU.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.C2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G14K28K42K56K70KSE +/- 130.21, N = 3SE +/- 210.02, N = 3SE +/- 72.30, N = 3SE +/- 150.93, N = 362084.7262375.4364031.3159920.961. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

NAS Parallel Benchmarks

Test / Class: MG.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.C2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G6K12K18K24K30KSE +/- 20.77, N = 3SE +/- 10.24, N = 3SE +/- 34.50, N = 3SE +/- 6.88, N = 325622.9325715.3426596.4624236.211. (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: SP.B

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.B2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G5K10K15K20K25KSE +/- 26.91, N = 3SE +/- 40.85, N = 3SE +/- 10.38, N = 3SE +/- 21.50, N = 322908.5822436.8123254.4021328.281. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

NAS Parallel Benchmarks

Test / Class: SP.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.C2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G3K6K9K12K15KSE +/- 16.93, N = 3SE +/- 42.19, N = 3SE +/- 15.11, N = 3SE +/- 18.27, N = 315610.3015531.7616097.0014528.261. (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

Numpy Benchmark

OpenBenchmarking.orgScore, More Is BetterNumpy Benchmark2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G2004006008001000SE +/- 2.01, N = 3SE +/- 4.91, N = 3SE +/- 1.37, N = 3SE +/- 8.61, N = 31070.611064.171046.911068.36

OpenFOAM

Input: motorBike - Mesh Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: motorBike - Mesh Time2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G2040608010084.9885.4788.0884.991. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

OpenFOAM

Input: motorBike - Execution Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: motorBike - Execution Time2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G132639526557.2555.5758.571. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Mesh Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Mesh Time2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G61218243022.8223.1422.581. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Execution Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Execution Time2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G306090120150148.76145.88157.151. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

OpenFOAM

Input: drivaerFastback, Medium Mesh Size - Mesh Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Mesh Time2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G4080120160200177.79174.13181.571. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

OpenFOAM

Input: drivaerFastback, Medium Mesh Size - Execution Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Execution Time2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G50010001500200025001994.751909.672096.571. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

OpenRadioss

Model: Bumper Beam

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Bumper Beam2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G20406080100SE +/- 0.14, N = 3SE +/- 0.02, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 377.1877.8177.4576.90

OpenRadioss

Model: Chrysler Neon 1M

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Chrysler Neon 1M2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G150300450600750SE +/- 1.02, N = 3SE +/- 49.36, N = 9SE +/- 0.28, N = 3668.16573.33705.55

OpenRadioss

Model: Cell Phone Drop Test

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Cell Phone Drop Test2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G1020304050SE +/- 0.29, N = 3SE +/- 0.15, N = 3SE +/- 0.18, N = 343.4243.2544.90

OpenRadioss

Model: Bird Strike on Windshield

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Bird Strike on Windshield2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G306090120150SE +/- 0.35, N = 3SE +/- 5.81, N = 15SE +/- 0.28, N = 3SE +/- 0.28, N = 3128.01124.37128.32128.76

OpenRadioss

Model: Rubber O-Ring Seal Installation

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Rubber O-Ring Seal Installation2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G1224364860SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 0.16, N = 3SE +/- 0.10, N = 353.2354.2753.6653.16

OpenRadioss

Model: INIVOL and Fluid Structure Interaction Drop Container

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: INIVOL and Fluid Structure Interaction Drop Container2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G50100150200250SE +/- 0.99, N = 3SE +/- 0.76, N = 3SE +/- 0.74, N = 3239.22242.00247.06

POV-Ray

Trace Time

OpenBenchmarking.orgSeconds, Fewer Is BetterPOV-RayTrace Time2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G48121620SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 316.1316.3216.4016.101. POV-Ray 3.7.0.10.unofficial

PyTorch

Device: CPU - Batch Size: 1 - Model: ResNet-50

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 1 - Model: ResNet-502 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G20406080100SE +/- 0.96, N = 4SE +/- 0.82, N = 5SE +/- 0.63, N = 3SE +/- 0.27, N = 385.5281.8986.7984.89MIN: 68.54 / MAX: 88.53MIN: 67.48 / MAX: 84.5MIN: 78.82 / MAX: 88.23MIN: 77.17 / MAX: 85.87

PyTorch

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

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 256 - Model: ResNet-502 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G1326395265SE +/- 0.40, N = 15SE +/- 0.25, N = 3SE +/- 0.36, N = 3SE +/- 0.34, N = 358.8956.1958.4957.54MIN: 34.79 / MAX: 62.62MIN: 39.35 / MAX: 57.3MIN: 34.6 / MAX: 60.01MIN: 53.14 / MAX: 58.34

Quicksilver

Input: CORAL2 P1

OpenBenchmarking.orgFigure Of Merit, More Is BetterQuicksilver 20230818Input: CORAL2 P12 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G5M10M15M20M25MSE +/- 41633.32, N = 3SE +/- 16666.67, N = 3SE +/- 92074.85, N = 3SE +/- 21858.13, N = 3256600002513666725666667256766671. (CXX) g++ options: -fopenmp -O3 -march=native

RAMspeed SMP

Type: Add - Benchmark: Integer

OpenBenchmarking.orgMB/s, More Is BetterRAMspeed SMP 3.5.0Type: Add - Benchmark: Integer2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G14K28K42K56K70KSE +/- 382.92, N = 3SE +/- 64.38, N = 3SE +/- 108.61, N = 3SE +/- 426.98, N = 363967.7062771.0065113.5261079.931. (CC) gcc options: -O3 -march=native

RAMspeed SMP

Type: Copy - Benchmark: Integer

OpenBenchmarking.orgMB/s, More Is BetterRAMspeed SMP 3.5.0Type: Copy - Benchmark: Integer2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G15K30K45K60K75KSE +/- 453.50, N = 3SE +/- 299.96, N = 3SE +/- 762.95, N = 5SE +/- 820.93, N = 370747.0066545.2470345.5365797.051. (CC) gcc options: -O3 -march=native

RAMspeed SMP

Type: Scale - Benchmark: Integer

OpenBenchmarking.orgMB/s, More Is BetterRAMspeed SMP 3.5.0Type: Scale - Benchmark: Integer2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G16K32K48K64K80KSE +/- 266.14, N = 3SE +/- 513.22, N = 3SE +/- 364.59, N = 3SE +/- 220.54, N = 371754.5870445.7473724.8869141.081. (CC) gcc options: -O3 -march=native

RAMspeed SMP

Type: Triad - Benchmark: Integer

OpenBenchmarking.orgMB/s, More Is BetterRAMspeed SMP 3.5.0Type: Triad - Benchmark: Integer2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G14K28K42K56K70KSE +/- 33.42, N = 3SE +/- 130.09, N = 3SE +/- 439.59, N = 3SE +/- 156.92, N = 365845.2164832.8666963.0362428.701. (CC) gcc options: -O3 -march=native

RAMspeed SMP

Type: Average - Benchmark: Integer

OpenBenchmarking.orgMB/s, More Is BetterRAMspeed SMP 3.5.0Type: Average - Benchmark: Integer2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G15K30K45K60K75KSE +/- 204.48, N = 3SE +/- 805.54, N = 4SE +/- 315.00, N = 3SE +/- 119.74, N = 368588.8466822.4969491.4265503.931. (CC) gcc options: -O3 -march=native

simdjson

Throughput Test: Kostya

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 3.10Throughput Test: Kostya2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G246810SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 37.637.507.577.711. (CXX) g++ options: -O3 -lrt

simdjson

Throughput Test: TopTweet

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 3.10Throughput Test: TopTweet2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G3691215SE +/- 0.17, N = 3SE +/- 0.14, N = 3SE +/- 0.15, N = 3SE +/- 0.02, N = 313.3812.8813.2413.591. (CXX) g++ options: -O3 -lrt

simdjson

Throughput Test: LargeRandom

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 3.10Throughput Test: LargeRandom2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G0.4770.9541.4311.9082.385SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 32.112.112.102.121. (CXX) g++ options: -O3 -lrt

SPECFEM3D

Model: Mount St. Helens

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.1.1Model: Mount St. Helens2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G612182430SE +/- 0.12, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.17, N = 324.9625.4525.1925.691. (F9X) gfortran options: -O2 -fopenmp -std=f2008 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

SPECFEM3D

Model: Layered Halfspace

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.1.1Model: Layered Halfspace2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G1632486480SE +/- 0.59, N = 3SE +/- 0.59, N = 3SE +/- 0.31, N = 369.4472.4469.8273.141. (F9X) gfortran options: -O2 -fopenmp -std=f2008 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

SPECFEM3D

Model: Tomographic Model

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.1.1Model: Tomographic Model2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G612182430SE +/- 0.20, N = 3SE +/- 0.16, N = 15SE +/- 0.14, N = 3SE +/- 0.16, N = 323.0023.8723.2923.361. (F9X) gfortran options: -O2 -fopenmp -std=f2008 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

SPECFEM3D

Model: Homogeneous Halfspace

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.1.1Model: Homogeneous Halfspace2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G714212835SE +/- 0.39, N = 3SE +/- 0.38, N = 3SE +/- 0.28, N = 329.8231.9830.5430.681. (F9X) gfortran options: -O2 -fopenmp -std=f2008 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

SPECFEM3D

Model: Water-layered Halfspace

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.1.1Model: Water-layered Halfspace2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G1632486480SE +/- 0.34, N = 3SE +/- 0.16, N = 2SE +/- 0.24, N = 3SE +/- 0.34, N = 369.5672.0868.9272.201. (F9X) gfortran options: -O2 -fopenmp -std=f2008 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

Stockfish

Chess Benchmark

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfishChess Benchmark2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G11M22M33M44M55MSE +/- 410305.51, N = 3SE +/- 166041.67, N = 3SE +/- 515794.89, N = 15SE +/- 491754.88, N = 15491941555010139649974210513777781. Stockfish 16 by the Stockfish developers (see AUTHORS file)

Stress-NG

Test: Memory Copying

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.17.08Test: Memory Copying2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G2K4K6K8K10KSE +/- 72.54, N = 3SE +/- 25.18, N = 3SE +/- 39.56, N = 3SE +/- 44.94, N = 310720.3110608.8210608.9610752.811. (CXX) g++ options: -lm -lapparmor -latomic -lcrypt -ldl -ljpeg -lEGL -lGLESv2 -lgmp -lgbm -lmpfr -lsctp -lz -lrt -lpthread -lc -std=gnu99 -O2 -U_FORTIFY_SOURCE

TensorFlow

Device: CPU - Batch Size: 1 - Model: ResNet-50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 1 - Model: ResNet-502 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G48121620SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 317.3416.8117.3316.92

TensorFlow

Device: CPU - Batch Size: 64 - Model: ResNet-50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 64 - Model: ResNet-502 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G1224364860SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 354.3053.5455.1952.27

Timed Gem5 Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Gem5 Compilation 23.0.1Time To Compile2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 16GB DDR5-6000 CL30 F5-6000J3038F16G50100150200250SE +/- 0.19, N = 3SE +/- 0.11, N = 3219.27221.14

Timed Linux Kernel Compilation

Build: defconfig

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.8Build: defconfig2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G1122334455SE +/- 0.30, N = 3SE +/- 0.40, N = 3SE +/- 0.30, N = 347.7848.2647.76

Timed Linux Kernel Compilation

Build: allmodconfig

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.8Build: allmodconfig2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 16GB DDR5-6000 CL30 F5-6000J3038F16G130260390520650SE +/- 0.52, N = 3SE +/- 0.15, N = 3589.33590.50

Timed LLVM Compilation

Build System: Ninja

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Ninja2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G70140210280350SE +/- 0.22, N = 3SE +/- 0.38, N = 2SE +/- 0.12, N = 3298.05304.62301.63

Timed Node.js Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 21.7.2Time To Compile2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 16GB DDR5-6000 CL30 F5-6000J3038F16G80160240320400SE +/- 0.24, N = 3SE +/- 0.34, N = 3341.68345.25

x265

Video Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is Betterx265Video Input: Bosphorus 4K2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G918273645SE +/- 0.15, N = 3SE +/- 0.15, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 338.3037.0938.0738.271. x265 [info]: HEVC encoder version 3.5+1-f0c1022b6

x265

Video Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is Betterx265Video Input: Bosphorus 1080p2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G306090120150SE +/- 0.45, N = 3SE +/- 0.23, N = 3SE +/- 0.13, N = 3SE +/- 0.27, N = 3134.48131.28134.19134.521. x265 [info]: HEVC encoder version 3.5+1-f0c1022b6

Xcompact3d Incompact3d

Input: input.i3d 129 Cells Per Direction

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 129 Cells Per Direction2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G48121620SE +/- 0.13, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 313.4013.2612.9714.091. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

Xcompact3d Incompact3d

Input: input.i3d 193 Cells Per Direction

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per Direction2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G1428425670SE +/- 0.20, N = 3SE +/- 0.01, N = 2SE +/- 0.14, N = 3SE +/- 0.09, N = 360.8060.4858.2064.111. (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

Xmrig

Variant: GhostRider - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: GhostRider - Hash Count: 1M2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G8001600240032004000SE +/- 37.04, N = 3SE +/- 36.12, N = 6SE +/- 30.71, N = 9SE +/- 6.72, N = 33638.63676.53699.63616.61. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

XNNPACK

Model: FP32MobileNetV2

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK 2cd86bModel: FP32MobileNetV22 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G30060090012001500SE +/- 8.84, N = 3SE +/- 9.00, N = 3SE +/- 4.98, N = 3SE +/- 5.21, N = 312731285127212641. (CXX) g++ options: -O3 -lrt -lm

XNNPACK

Model: FP32MobileNetV3Large

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK 2cd86bModel: FP32MobileNetV3Large2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G30060090012001500SE +/- 9.64, N = 3SE +/- 3.18, N = 3SE +/- 2.08, N = 3SE +/- 19.19, N = 315271590155315161. (CXX) g++ options: -O3 -lrt -lm

XNNPACK

Model: FP32MobileNetV3Small

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK 2cd86bModel: FP32MobileNetV3Small2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G2004006008001000SE +/- 2.31, N = 3SE +/- 3.18, N = 3SE +/- 5.00, N = 3SE +/- 2.31, N = 38158368188121. (CXX) g++ options: -O3 -lrt -lm

XNNPACK

Model: FP16MobileNetV2

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK 2cd86bModel: FP16MobileNetV22 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G2004006008001000SE +/- 3.38, N = 3SE +/- 2.31, N = 3SE +/- 1.20, N = 3SE +/- 2.31, N = 399610189979851. (CXX) g++ options: -O3 -lrt -lm

XNNPACK

Model: FP16MobileNetV3Large

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK 2cd86bModel: FP16MobileNetV3Large2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G30060090012001500SE +/- 3.53, N = 3SE +/- 8.11, N = 3SE +/- 4.58, N = 3SE +/- 2.89, N = 313031334130212911. (CXX) g++ options: -O3 -lrt -lm

XNNPACK

Model: FP16MobileNetV3Small

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK 2cd86bModel: FP16MobileNetV3Small2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G2004006008001000SE +/- 1.86, N = 3SE +/- 0.58, N = 3SE +/- 1.20, N = 3SE +/- 1.76, N = 37767977737701. (CXX) g++ options: -O3 -lrt -lm

XNNPACK

Model: QU8MobileNetV2

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK 2cd86bModel: QU8MobileNetV22 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G2004006008001000SE +/- 0.88, N = 3SE +/- 3.18, N = 3SE +/- 2.96, N = 3SE +/- 0.33, N = 37657837657591. (CXX) g++ options: -O3 -lrt -lm

XNNPACK

Model: QU8MobileNetV3Large

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK 2cd86bModel: QU8MobileNetV3Large2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G2004006008001000SE +/- 4.91, N = 3SE +/- 3.21, N = 3SE +/- 2.73, N = 3SE +/- 1.20, N = 311151154112411181. (CXX) g++ options: -O3 -lrt -lm

XNNPACK

Model: QU8MobileNetV3Small

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK 2cd86bModel: QU8MobileNetV3Small2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C382 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G2004006008001000SE +/- 0.67, N = 3SE +/- 1.33, N = 3SE +/- 0.88, N = 37617867647561. (CXX) g++ options: -O3 -lrt -lm

Y-Cruncher

Pi Digits To Calculate: 1B

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.5Pi Digits To Calculate: 1B2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G48121620SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 315.4315.6116.45

Y-Cruncher

Pi Digits To Calculate: 500M

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.5Pi Digits To Calculate: 500M2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C322 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C362 x 16GB DDR5-6000 CL30 F5-6000J3038F16G246810SE +/- 0.016, N = 3SE +/- 0.023, N = 3SE +/- 0.006, N = 37.2477.2367.587

Phoronix Test Suite v10.8.5