AMD EPYC Zen 4C Power Efficiency

AMD EPYC Zen 4C power efficiency benchmarks by Michael Larabel for a future article.

HTML result view exported from: https://openbenchmarking.org/result/2401147-NE-AMDEPYCZE24&rdt&grr.

AMD EPYC Zen 4C Power EfficiencyProcessorMotherboardChipsetMemoryDiskGraphicsNetworkMonitorOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1AMD EPYC 8534PN 64-Core @ 2.00GHz (64 Cores / 128 Threads)AMD Cinnabar (RCB1009C BIOS)AMD Device 14a46 x 32 GB DRAM-4800MT/s Samsung M321R4GA0BB0-CQKMG1000GB INTEL SSDPE2KX010T8llvmpipe2 x Broadcom NetXtreme BCM5720 PCIeUbuntu 23.106.6.9-060609-generic (x86_64)GNOME Shell 45.0X Server 1.21.1.74.5 Mesa 23.2.1-1ubuntu3.1 (LLVM 15.0.7 256 bits)GCC 13.2.0ext41920x1200AMD EPYC 8534PN 32-Core @ 2.05GHz (32 Cores / 64 Threads)AMD EPYC 8324P 32-Core @ 2.65GHz (32 Cores / 64 Threads)ASPEEDAMD EPYC 7601 32-Core @ 2.20GHz (32 Cores / 64 Threads)TYAN B8026T70AE24HR (V1.02.B10 BIOS)AMD 17h8 x 16 GB 2667MT/s Samsung M393A2K40BB2-CTD1000GB INTEL SSDPE2KX010T8 + 280GB INTEL SSDPE21D280GAVE2284.5 Mesa 23.2.1-1ubuntu3.1 (LLVM 15.0.7 256 bits)1920x1080OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/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-build-config=bootstrap-lto-lean --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- EPYC 8534PN - Zen 4C: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xaa00212- EPYC 8324PN - Zen 4C: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xaa00212- EPYC 8324P - Zen 4C: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xaa00212- EPYC 8324P - Zen 4C, 155W: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xaa00212- EPYC 7601 - Zen 1: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x800126eJava Details- OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu123.10)Python Details- Python 3.11.6Security Details- EPYC 8534PN - Zen 4C: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + 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 + srbds: Not affected + tsx_async_abort: Not affected - EPYC 8324PN - Zen 4C: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + 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 + srbds: Not affected + tsx_async_abort: Not affected - EPYC 8324P - Zen 4C: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + 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 + srbds: Not affected + tsx_async_abort: Not affected - EPYC 8324P - Zen 4C, 155W: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + 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 + srbds: Not affected + tsx_async_abort: Not affected - EPYC 7601 - Zen 1: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Mitigation of untrained return thunk; SMT vulnerable + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional STIBP: disabled RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

AMD EPYC Zen 4C Power Efficiencyincompact3d: X3D-benchmarking input.i3dcloverleaf: clover_bm16build-linux-kernel: allmodconfiglammps: 20k Atomsblender: Barbershop - CPU-Onlyopenradioss: Chrysler Neon 1Mbuild-gem5: Time To Compilexmrig: GhostRider - 1Mbuild-llvm: Unix Makefilesllama-cpp: llama-2-70b-chat.Q5_0.ggufquicksilver: CTS2openfoam: drivaerFastback, Medium Mesh Size - Execution Timeopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timeeasywave: e2Asean Grid + BengkuluSept2007 Source - 2400build-llvm: Ninjaduckdb: TPC-H Parquetbuild-nodejs: Time To Compileffmpeg: libx265 - Video On Demandffmpeg: libx265 - Platformffmpeg: libx265 - Uploadllama-cpp: llama-2-13b.Q4_0.ggufxmrig: Monero - 1Mxmrig: CryptoNight-Femto UPX2 - 1Mxmrig: KawPow - 1Mxmrig: CryptoNight-Heavy - 1Mapache-iotdb: 500 - 100 - 500 - 100apache-iotdb: 500 - 100 - 500 - 100duckdb: IMDBospray-studio: 3 - 4K - 32 - Path Tracer - CPUopenssl: SHA256openssl: ChaCha20-Poly1305openssl: ChaCha20openssl: AES-256-GCMopenssl: AES-128-GCMopenssl: SHA512cassandra: Writesblender: Pabellon Barcelona - CPU-Onlyrocksdb: Read While Writingospray-studio: 1 - 4K - 32 - Path Tracer - CPUospray: particle_volume/scivis/real_timespeedb: Read While Writingospray: particle_volume/pathtracer/real_timellama-cpp: llama-2-7b.Q4_0.ggufminibude: OpenMP - BM2minibude: OpenMP - BM2blender: Classroom - CPU-Onlyspeedb: Update Randospray: particle_volume/ao/real_timeospray-studio: 3 - 4K - 16 - Path Tracer - CPUgpaw: Carbon Nanotubeospray-studio: 1 - 4K - 16 - Path Tracer - CPUnginx: 1000nginx: 500deepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Streamospray-studio: 3 - 4K - 1 - Path Tracer - CPUospray-studio: 1 - 4K - 1 - Path Tracer - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUv-ray: CPUrav1e: 10quantlib: Multi-Threadedffmpeg: libx265 - Livetensorflow: CPU - 16 - ResNet-50cloverleaf: clover_bm64_shortblender: Fishy Cat - CPU-Onlyindigobench: CPU - Bedroommemtier-benchmark: Redis - 100 - 1:10memtier-benchmark: Redis - 100 - 1:5vvenc: Bosphorus 4K - Fastereasywave: e2Asean Grid + BengkuluSept2007 Source - 1200quicksilver: CORAL2 P1openvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUindigobench: CPU - Supercarospray: gravity_spheres_volume/dim_512/pathtracer/real_timepytorch: CPU - 256 - ResNet-50speedb: Rand Readopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUospray: gravity_spheres_volume/dim_512/scivis/real_timeopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUspeedb: Read Rand Write Randbuild-linux-kernel: defconfigospray: gravity_spheres_volume/dim_512/ao/real_timeopenssl: RSA4096openssl: RSA4096rocksdb: Rand Readxmrig: Wownero - 1Mblender: BMW27 - CPU-Onlydeepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamrav1e: 6mt-dgemm: Sustained Floating-Point Ratedeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamopenfoam: drivaerFastback, Small Mesh Size - Execution Timedeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamnamd: ATPase Simulation - 327,506 Atomscompress-7zip: Decompression Ratingcompress-7zip: Compression Ratingdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: ResNet-50, Baseline - Asynchronous Multi-Streamdeepsparse: ResNet-50, Baseline - Asynchronous Multi-Streamsvt-av1: Preset 4 - Bosphorus 4Koidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlykripke: pytorch: CPU - 1 - ResNet-50x265: Bosphorus 4Kbuild-ffmpeg: Time To Compileincompact3d: input.i3d 193 Cells Per Directionembree: Pathtracer ISPC - Crownminibude: OpenMP - BM1minibude: OpenMP - BM1svt-av1: Preset 8 - Bosphorus 4Ky-cruncher: 1Bsvt-av1: Preset 12 - Bosphorus 4Kembree: Pathtracer ISPC - Asian Dragonuvg266: Bosphorus 4K - Very Fastuvg266: Bosphorus 4K - Super Fasty-cruncher: 500Muvg266: Bosphorus 4K - Ultra FastEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1563.346781496.55341.47725.715267.58300.62230.9904374.0277.91016300000687.42305184.16204109.827190.992178.698174.00247.0847.0323.3120484.320477.120487.220489.854.7182731495127.20187860699104309871960125738532846962933734244000382074934344962502269726620724417795.4466880897475214.854912585315164.20599.5682489.19776.3234974514.90864747265.47240603232146.41229161.91776.543440.64102544214658.781086.685420412.186154830.9115.1148.5657.4238.669.9732568868.492513019.3211.27239.33021233333644.8049.4321.76716.895436.23248842616157.93202.29108.06295.6112.472547.7334.14934.597.528310.7111.242816.0914.61310.6171960.4112.974878.00227202644.42315.0596828697.421064.124896938735370.030.5724.81841287.8778982.610932.155452.1235613.2269982.329832.14614.86821.138819556.145756.841958.610212113.4506281.48980.43200343946332922166.9491191.0676166.0267192.061674.4270429.32709.25203450.433474.4102429.36036.5561.7128839430045.2327.5119.37620.975618459.051399.6472491.16564.33610.442190.88774.926847.6549.225.20751.33628.844299492.50539.24015.690518.21391.36295.0603938.5371.5363.1114030000793.87207172.68566116.031300.444182.934253.14244.9945.0322.2417.0616892.316799.216877.916932.858.9277285152123.6671672093579582607310106502312314760207765021643566020725141555837011644867590212207182.4741073131421608.143586934544147.22028.5651.0591276.472146.903057298.132318667890.06574023139259.26136660.96722.104121.90965004422257.50555.712817711.82480175.3109.7747.7757.5272.965.1272562876.162500035.0910.29142.25718273333627.4625.4111.2498.8936140.36132248192121.74131.2497.91163.0911.151424.5330.69520.247.134405.6210.391527.327.665320.5743375.5512.582520.77198225758.5197.97910430171.611909.213120683021769.258.2023.6852674.9294892.103917.764149.7973320.8637894.195617.66644.72711.517272493.988732.128982.15286104.8987152.20680.82790179072212458154.2821103.4399153.3968104.130669.6037229.53508.37451906.387069.5078229.91235.5510.9324750013352.9024.0327.57424.346738831.081451.1211278.03051.53713.971167.16339.600633.8236.756.65341.02608.229716489.47449.98618.407426.62381.88263.5334043.2334.2933.4314313333763.50167153.15408115.288258.219182.775222.06745.0745.0122.2417.9318908.918922.718875.218883.257.2180321359121.4851397374303308236311310589287715944767551726530311345730820730843713803340747223293148.7643943101185148.770437290610147.25329.7261.2911532.274119.583172508.797737312780.91662633166799.14164234.98611.148125.83684152349346.39688.603351011.79098717.2109.8451.7056.9159.646.1772842511.462795965.0510.74142.08918880000510.7131.2513.57310.493940.59163771762106.00150.7482.00194.719.341701.1825.21633.215.775418.928.521860.658.836220.4752709.1910.203102.13223374452.1449.14257457516.315040.716167887625644.347.5019.5341818.3145751.624421.023041.6397383.7004752.512121.00444.70611.645616410.465838.820273.51338888.1549181.23200.67728211187240083130.4161122.3679129.8432122.925659.8698266.95677.28162193.090659.8723266.98565.9111.1126877326752.7225.5524.49223.905040736.891761.1541528.84858.00011.927182.26045.508539.2542.945.74746.54612.204793489.04487.57617.423463.27382.57266.9514031.7349.6112.9314376667779.50949163.04119115.253274.946181.394234.23145.0645.1222.2517.0918129.018090.918088.718155.062.6070294901122.1431504104020035340011234408384315943100862024283052687328119187856712993940737224034161.9543013431281548.758967162203147.28129.3857.0131425.324130.673176348.757847861084.37967153151923.62149458.34647.885524.47364493378751.41621.823153611.81890654.1109.7151.0357.0465.035.7202789711.342720321.3010.63541.99618950000558.2928.5812.5729.8737340.54147991555110.77144.2788.55180.3210.181563.3627.56579.346.34977.139.291710.428.456340.5149194.5511.122851.01213331154.7988.78898457514.113565.814772176924096.252.0221.2407752.5874803.821919.639044.7159357.2953801.190119.75304.73111.434849443.429935.792975.25070294.2013169.56280.73558200034228957139.1784114.6161138.2263115.421262.8155254.30287.60642099.324662.8813254.13075.8161.0325871616752.9125.4525.67923.773293834.240257.0961427.41255.71712.887175.74643.127037.3340.506.19244.811092.51253954.73752.60313.781765.20498.23394.6191042.7529.3980.46114433331164.3926229.49406357.692435.252249.189389.70021.0021.0210.402.494973.35061.34687.95087.486.1951950735198.94033194527015393267303410466374793558006089976610817977070348208355425337150277246.7134636952811375.22927595425198.89694.2014.240355.990191.712038235.28576170871144.01214556090952.1594936.991289.822712.2244100548452169.21188.86199146.99564469.458.098.77106.27101.103.9851277853.471159654.336.358152.337130300002096.013.818.5864.1465520.4885990445188.2542.43206.7238.6317.20464.4853.64149.019.09878.7126.96296.422.452762.4413039.7084.77376.97144781976.1962.59961292445.34497.1846164089331.672.4364.7981246.64401501.605110.4527124.0928128.66921515.679210.33642.9633.8867761840.94948.5097122.25778189.318684.42870.97282133490123746234.021268.1629231.403568.9537115.7775138.0333104.4436152.9618115.3465138.52913.0650.4818179596724.8914.2939.89137.988997118.438714.330358.25426.75333.90870.77321.842122.2623.5815.51527.29OpenBenchmarking.org

Xcompact3d Incompact3d

Input: X3D-benchmarking input.i3d

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: X3D-benchmarking input.i3dEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 12004006008001000SE +/- 0.84, N = 3SE +/- 0.29, N = 3SE +/- 0.69, N = 3SE +/- 0.57, N = 3SE +/- 15.13, N = 9563.35628.84608.23612.201092.511. (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

CloverLeaf

Input: clover_bm16

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm16EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 12004006008001000SE +/- 0.16, N = 3SE +/- 0.30, N = 3SE +/- 0.11, N = 3SE +/- 0.34, N = 3SE +/- 3.58, N = 3496.55492.50489.47489.04954.731. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

Timed Linux Kernel Compilation

Build: allmodconfig

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfigEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1160320480640800SE +/- 0.92, N = 3SE +/- 0.77, N = 3SE +/- 0.84, N = 3SE +/- 0.47, N = 3SE +/- 0.46, N = 3341.48539.24449.99487.58752.60

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1612182430SE +/- 0.28, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 325.7215.6918.4117.4213.781. (CXX) g++ options: -O3 -lm -ldl

Blender

Blend File: Barbershop - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Barbershop - Compute: CPU-OnlyEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1160320480640800SE +/- 0.08, N = 3SE +/- 0.45, N = 3SE +/- 0.14, N = 3SE +/- 0.21, N = 3SE +/- 0.25, N = 3267.58518.21426.62463.27765.20

OpenRadioss

Model: Chrysler Neon 1M

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Chrysler Neon 1MEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1110220330440550SE +/- 0.58, N = 3SE +/- 0.66, N = 3SE +/- 0.38, N = 3SE +/- 0.48, N = 3SE +/- 0.95, N = 3300.62391.36381.88382.57498.23

Timed Gem5 Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Gem5 Compilation 23.0.1Time To CompileEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 190180270360450SE +/- 2.69, N = 4SE +/- 3.60, N = 3SE +/- 2.62, N = 9SE +/- 1.97, N = 3SE +/- 4.56, N = 3230.99295.06263.53266.95394.62

Xmrig

Variant: GhostRider - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: GhostRider - Hash Count: 1MEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 19001800270036004500SE +/- 6.81, N = 3SE +/- 16.58, N = 3SE +/- 7.57, N = 3SE +/- 19.57, N = 3SE +/- 12.26, N = 34374.03938.54043.24031.71042.71. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Timed LLVM Compilation

Build System: Unix Makefiles

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Unix MakefilesEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1110220330440550SE +/- 0.46, N = 3SE +/- 0.95, N = 3SE +/- 0.60, N = 3SE +/- 1.23, N = 3SE +/- 1.30, N = 3277.91371.54334.29349.61529.40

Llama.cpp

Model: llama-2-70b-chat.Q5_0.gguf

OpenBenchmarking.orgTokens Per Second, More Is BetterLlama.cpp b1808Model: llama-2-70b-chat.Q5_0.ggufEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 10.77181.54362.31543.08723.859SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 33.113.432.930.461. (CXX) g++ options: -std=c++11 -fPIC -O3 -pthread -march=native -mtune=native -lopenblas

Quicksilver

Input: CTS2

OpenBenchmarking.orgFigure Of Merit, More Is BetterQuicksilver 20230818Input: CTS2EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 13M6M9M12M15MSE +/- 23094.01, N = 3SE +/- 25166.11, N = 3SE +/- 29627.31, N = 3SE +/- 43333.33, N = 3SE +/- 54569.02, N = 316300000140300001431333314376667114433331. (CXX) g++ options: -fopenmp -O3 -march=native

OpenFOAM

Input: drivaerFastback, Medium Mesh Size - Execution Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Execution TimeEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 130060090012001500687.42793.87763.50779.511164.391. (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 TimeEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 150100150200250184.16172.69153.15163.04229.491. (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

easyWave

Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400

OpenBenchmarking.orgSeconds, Fewer Is BettereasyWave r34Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 180160240320400SE +/- 0.94, N = 3SE +/- 0.25, N = 3SE +/- 0.36, N = 3SE +/- 0.25, N = 3SE +/- 4.58, N = 9109.83116.03115.29115.25357.691. (CXX) g++ options: -O3 -fopenmp

Timed LLVM Compilation

Build System: Ninja

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: NinjaEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 190180270360450SE +/- 0.14, N = 3SE +/- 0.16, N = 3SE +/- 1.36, N = 3SE +/- 1.25, N = 3SE +/- 0.41, N = 3190.99300.44258.22274.95435.25

DuckDB

Benchmark: TPC-H Parquet

OpenBenchmarking.orgSeconds, Fewer Is BetterDuckDB 0.9.1Benchmark: TPC-H ParquetEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 150100150200250SE +/- 0.63, N = 3SE +/- 0.25, N = 3SE +/- 0.21, N = 3SE +/- 0.48, N = 3SE +/- 1.55, N = 3178.70182.93182.78181.39249.191. (CXX) g++ options: -O3 -rdynamic -lssl -lcrypto -ldl

Timed Node.js Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 19.8.1Time To CompileEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 180160240320400SE +/- 0.04, N = 3SE +/- 0.22, N = 3SE +/- 0.12, N = 3SE +/- 0.15, N = 3SE +/- 0.67, N = 3174.00253.14222.07234.23389.70

FFmpeg

Encoder: libx265 - Scenario: Video On Demand

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: Video On DemandEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 11122334455SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 347.0844.9945.0745.0621.001. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

FFmpeg

Encoder: libx265 - Scenario: Platform

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: PlatformEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 11122334455SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 347.0345.0345.0145.1221.021. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

FFmpeg

Encoder: libx265 - Scenario: Upload

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: UploadEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1612182430SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 323.3122.2422.2422.2510.401. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

Llama.cpp

Model: llama-2-13b.Q4_0.gguf

OpenBenchmarking.orgTokens Per Second, More Is BetterLlama.cpp b1808Model: llama-2-13b.Q4_0.ggufEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 148121620SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 1217.0617.9317.092.491. (CXX) g++ options: -std=c++11 -fPIC -O3 -pthread -march=native -mtune=native -lopenblas

Xmrig

Variant: Monero - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: Monero - Hash Count: 1MEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 14K8K12K16K20KSE +/- 5.73, N = 3SE +/- 34.05, N = 3SE +/- 56.24, N = 3SE +/- 43.26, N = 3SE +/- 155.10, N = 1220484.316892.318908.918129.04973.31. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Xmrig

Variant: CryptoNight-Femto UPX2 - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: CryptoNight-Femto UPX2 - Hash Count: 1MEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 14K8K12K16K20KSE +/- 12.46, N = 3SE +/- 103.09, N = 3SE +/- 50.80, N = 3SE +/- 49.53, N = 3SE +/- 202.60, N = 1220477.116799.218922.718090.95061.31. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Xmrig

Variant: KawPow - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: KawPow - Hash Count: 1MEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 14K8K12K16K20KSE +/- 5.33, N = 3SE +/- 33.52, N = 3SE +/- 43.40, N = 3SE +/- 61.47, N = 3SE +/- 218.18, N = 1120487.216877.918875.218088.74687.91. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Xmrig

Variant: CryptoNight-Heavy - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: CryptoNight-Heavy - Hash Count: 1MEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 14K8K12K16K20KSE +/- 6.48, N = 3SE +/- 35.06, N = 3SE +/- 41.98, N = 3SE +/- 44.77, N = 3SE +/- 166.19, N = 1220489.816932.818883.218155.05087.41. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Apache IoTDB

Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 120406080100SE +/- 0.27, N = 3SE +/- 0.18, N = 3SE +/- 0.50, N = 3SE +/- 0.98, N = 12SE +/- 0.92, N = 354.7158.9257.2162.6086.19MAX: 10074.09MAX: 10097.01MAX: 10096.05MAX: 11339.9MAX: 12666.75

Apache IoTDB

Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 120M40M60M80M100MSE +/- 820005.27, N = 3SE +/- 90002.32, N = 3SE +/- 458351.52, N = 3SE +/- 1107129.95, N = 12SE +/- 395656.07, N = 38273149577285152803213597029490151950735

DuckDB

Benchmark: IMDB

OpenBenchmarking.orgSeconds, Fewer Is BetterDuckDB 0.9.1Benchmark: IMDBEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 14080120160200SE +/- 0.08, N = 3SE +/- 0.10, N = 3SE +/- 0.12, N = 3SE +/- 0.10, N = 3SE +/- 0.90, N = 3127.20123.67121.49122.14198.941. (CXX) g++ options: -O3 -rdynamic -lssl -lcrypto -ldl

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 170K140K210K280K350KSE +/- 229.98, N = 3SE +/- 85.59, N = 3SE +/- 125.49, N = 3SE +/- 149.58, N = 3SE +/- 408.43, N = 387860167209139737150410331945

OpenSSL

Algorithm: SHA256

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA256EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 115000M30000M45000M60000M75000MSE +/- 41929433.75, N = 3SE +/- 16148314.98, N = 3SE +/- 11419799.65, N = 3SE +/- 12904999.14, N = 3SE +/- 58715423.07, N = 369910430987357958260734303308236340200353400270153932671. (CC) gcc options: -pthread -m64 -O3 -ldl

OpenSSL

Algorithm: ChaCha20-Poly1305

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20-Poly1305EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 140000M80000M120000M160000M200000MSE +/- 52537274.39, N = 3SE +/- 36167959.31, N = 3SE +/- 5327895.48, N = 3SE +/- 3407926.56, N = 3SE +/- 21793844.67, N = 3196012573853101065023123113105892877112344083843303410466371. (CC) gcc options: -pthread -m64 -O3 -ldl

OpenSSL

Algorithm: ChaCha20

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 160000M120000M180000M240000M300000MSE +/- 8141159.25, N = 3SE +/- 4106091.67, N = 3SE +/- 3614035.56, N = 3SE +/- 2748202.21, N = 3SE +/- 18792715.18, N = 3284696293373147602077650159447675517159431008620479355800601. (CC) gcc options: -pthread -m64 -O3 -ldl

OpenSSL

Algorithm: AES-256-GCM

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-256-GCMEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 190000M180000M270000M360000M450000MSE +/- 171818503.35, N = 3SE +/- 288672373.67, N = 3SE +/- 72395520.64, N = 3SE +/- 104993783.37, N = 3SE +/- 220160896.72, N = 3424400038207216435660207265303113457242830526873899766108171. (CC) gcc options: -pthread -m64 -O3 -ldl

OpenSSL

Algorithm: AES-128-GCM

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-128-GCMEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1110000M220000M330000M440000M550000MSE +/- 350336826.28, N = 3SE +/- 43613214.37, N = 3SE +/- 338919345.53, N = 3SE +/- 1389668244.12, N = 3SE +/- 228892930.90, N = 3493434496250251415558370308207308437281191878567977070348201. (CC) gcc options: -pthread -m64 -O3 -ldl

OpenSSL

Algorithm: SHA512

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA512EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 15000M10000M15000M20000M25000MSE +/- 1693446.92, N = 3SE +/- 3220312.96, N = 3SE +/- 1511880.16, N = 3SE +/- 794607.82, N = 3SE +/- 7664614.59, N = 32269726620711644867590138033407471299394073783554253371. (CC) gcc options: -pthread -m64 -O3 -ldl

Apache Cassandra

Test: Writes

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.1.3Test: WritesEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 150K100K150K200K250KSE +/- 1997.81, N = 3SE +/- 423.47, N = 3SE +/- 371.97, N = 3SE +/- 522.48, N = 3SE +/- 1316.75, N = 8244177212207223293224034150277

Blender

Blend File: Pabellon Barcelona - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Pabellon Barcelona - Compute: CPU-OnlyEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 150100150200250SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.18, N = 395.44182.47148.76161.95246.71

RocksDB

Test: Read While Writing

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Read While WritingEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 11.4M2.8M4.2M5.6M7MSE +/- 64443.01, N = 15SE +/- 3126.89, N = 3SE +/- 38567.21, N = 15SE +/- 47925.84, N = 5SE +/- 36400.82, N = 3668808941073134394310430134334636951. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 160K120K180K240K300KSE +/- 78.83, N = 3SE +/- 49.00, N = 3SE +/- 153.74, N = 3SE +/- 87.82, N = 3SE +/- 491.07, N = 374752142160118514128154281137

OSPRay

Benchmark: particle_volume/scivis/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/scivis/real_timeEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 148121620SE +/- 0.01627, N = 3SE +/- 0.00550, N = 3SE +/- 0.00419, N = 3SE +/- 0.01425, N = 3SE +/- 0.00416, N = 314.854908.143588.770438.758965.22927

Speedb

Test: Read While Writing

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Read While WritingEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 13M6M9M12M15MSE +/- 117697.08, N = 15SE +/- 50044.04, N = 3SE +/- 52967.61, N = 15SE +/- 7924.49, N = 3SE +/- 81525.26, N = 31258531569345447290610716220359542511. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OSPRay

Benchmark: particle_volume/pathtracer/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/pathtracer/real_timeEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 14080120160200SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 3164.21147.22147.25147.2898.90

Llama.cpp

Model: llama-2-7b.Q4_0.gguf

OpenBenchmarking.orgTokens Per Second, More Is BetterLlama.cpp b1808Model: llama-2-7b.Q4_0.ggufEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1714212835SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.12, N = 1528.5629.7229.384.201. (CXX) g++ options: -std=c++11 -fPIC -O3 -pthread -march=native -mtune=native -lopenblas

miniBUDE

Implementation: OpenMP - Input Deck: BM2

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 120406080100SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 399.5751.0661.2957.0114.241. (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: BM2EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 15001000150020002500SE +/- 0.34, N = 3SE +/- 0.10, N = 3SE +/- 0.47, N = 3SE +/- 0.17, N = 3SE +/- 0.44, N = 32489.201276.471532.271425.32355.991. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

Blender

Blend File: Classroom - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Classroom - Compute: CPU-OnlyEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 14080120160200SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 376.32146.90119.58130.67191.71

Speedb

Test: Update Random

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Update RandomEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 170K140K210K280K350KSE +/- 2986.90, N = 15SE +/- 863.96, N = 3SE +/- 579.72, N = 3SE +/- 167.58, N = 3SE +/- 190.36, N = 33497453057293172503176342038231. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OSPRay

Benchmark: particle_volume/ao/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/ao/real_timeEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 148121620SE +/- 0.02133, N = 3SE +/- 0.01797, N = 3SE +/- 0.00420, N = 3SE +/- 0.02372, N = 3SE +/- 0.00450, N = 314.908608.132318.797738.757845.28576

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 140K80K120K160K200KSE +/- 85.58, N = 3SE +/- 286.09, N = 3SE +/- 65.51, N = 3SE +/- 239.39, N = 3SE +/- 111.00, N = 347472866787312778610170871

GPAW

Input: Carbon Nanotube

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 23.6Input: Carbon NanotubeEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1306090120150SE +/- 0.11, N = 3SE +/- 0.19, N = 3SE +/- 0.45, N = 3SE +/- 0.21, N = 3SE +/- 1.20, N = 365.4790.0780.9284.38144.011. (CC) gcc options: -shared -fwrapv -O2 -lxc -lblas -lmpi

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 130K60K90K120K150KSE +/- 242.81, N = 3SE +/- 220.99, N = 3SE +/- 328.77, N = 3SE +/- 266.18, N = 3SE +/- 111.55, N = 340603740236263367153145560

nginx

Connections: 1000

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 1000EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 150K100K150K200K250KSE +/- 302.03, N = 3SE +/- 199.18, N = 3SE +/- 343.16, N = 3SE +/- 49.01, N = 3SE +/- 357.56, N = 3232146.41139259.26166799.14151923.6290952.151. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

nginx

Connections: 500

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 500EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 150K100K150K200K250KSE +/- 217.83, N = 3SE +/- 213.01, N = 3SE +/- 549.43, N = 3SE +/- 1108.21, N = 3SE +/- 911.83, N = 3229161.91136660.96164234.98149458.3494936.991. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

Neural Magic DeepSparse

Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-StreamEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 130060090012001500SE +/- 0.25, N = 3SE +/- 0.30, N = 3SE +/- 0.30, N = 3SE +/- 0.27, N = 3SE +/- 8.56, N = 3776.54722.10611.15647.891289.82

Neural Magic DeepSparse

Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-StreamEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1918273645SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.13, N = 340.6421.9125.8424.4712.22

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 12K4K6K8K10KSE +/- 0.88, N = 3SE +/- 2.03, N = 3SE +/- 1.33, N = 3SE +/- 2.31, N = 3SE +/- 27.62, N = 3254450044152449310054

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 12K4K6K8K10KSE +/- 1.20, N = 3SE +/- 0.88, N = 3SE +/- 2.31, N = 3SE +/- 1.76, N = 3SE +/- 15.18, N = 321464222349337878452

OpenVINO

Model: Handwritten English Recognition FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16-INT8 - Device: CPUEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 14080120160200SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.47, N = 8SE +/- 0.68, N = 358.7857.5046.3951.41169.21MIN: 36.54 / MAX: 118.54MIN: 36.68 / MAX: 102.88MIN: 30.48 / MAX: 56.26MIN: 31.75 / MAX: 122.86MIN: 140.86 / MAX: 197.951. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Handwritten English Recognition FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16-INT8 - Device: CPUEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 12004006008001000SE +/- 0.42, N = 3SE +/- 0.39, N = 3SE +/- 0.64, N = 3SE +/- 5.36, N = 8SE +/- 0.74, N = 31086.68555.71688.60621.82188.861. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

Chaos Group V-RAY

Mode: CPU

OpenBenchmarking.orgvsamples, More Is BetterChaos Group V-RAY 5.02Mode: CPUEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 112K24K36K48K60KSE +/- 123.39, N = 3SE +/- 326.21, N = 3SE +/- 277.30, N = 3SE +/- 150.82, N = 3SE +/- 105.66, N = 35420428177335103153619914

rav1e

Speed: 10

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.7Speed: 10EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 13691215SE +/- 0.125, N = 5SE +/- 0.146, N = 4SE +/- 0.141, N = 4SE +/- 0.138, N = 4SE +/- 0.075, N = 412.18611.82411.79011.8186.995

QuantLib

Configuration: Multi-Threaded

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 130K60K90K120K150KSE +/- 29.72, N = 3SE +/- 122.23, N = 3SE +/- 60.04, N = 3SE +/- 100.68, N = 3SE +/- 165.76, N = 3154830.980175.398717.290654.164469.41. (CXX) g++ options: -O3 -march=native -fPIE -pie

FFmpeg

Encoder: libx265 - Scenario: Live

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: LiveEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1306090120150SE +/- 0.20, N = 3SE +/- 0.17, N = 3SE +/- 0.30, N = 3SE +/- 0.31, N = 3SE +/- 0.11, N = 3115.11109.77109.84109.7158.091. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

TensorFlow

Device: CPU - Batch Size: 16 - Model: ResNet-50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: ResNet-50EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 11224364860SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 348.5647.7751.7051.038.77

CloverLeaf

Input: clover_bm64_short

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm64_shortEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 120406080100SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.18, N = 357.4257.5256.9157.04106.271. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

Blender

Blend File: Fishy Cat - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Fishy Cat - Compute: CPU-OnlyEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 120406080100SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.14, N = 338.6672.9659.6465.03101.10

IndigoBench

Acceleration: CPU - Scene: Bedroom

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: BedroomEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 13691215SE +/- 0.011, N = 3SE +/- 0.010, N = 3SE +/- 0.021, N = 3SE +/- 0.013, N = 3SE +/- 0.010, N = 39.9735.1276.1775.7203.985

Redis 7.0.12 + memtier_benchmark

Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10

OpenBenchmarking.orgOps/sec, More Is BetterRedis 7.0.12 + memtier_benchmark 2.0Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1600K1200K1800K2400K3000KSE +/- 20726.56, N = 3SE +/- 11338.77, N = 3SE +/- 3585.70, N = 3SE +/- 16343.62, N = 3SE +/- 10214.62, N = 32568868.492562876.162842511.462789711.341277853.471. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Redis 7.0.12 + memtier_benchmark

Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5

OpenBenchmarking.orgOps/sec, More Is BetterRedis 7.0.12 + memtier_benchmark 2.0Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1600K1200K1800K2400K3000KSE +/- 10691.43, N = 3SE +/- 18767.16, N = 3SE +/- 10431.24, N = 3SE +/- 15002.29, N = 3SE +/- 11184.62, N = 32513019.322500035.092795965.052720321.301159654.331. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

VVenC

Video Input: Bosphorus 4K - Video Preset: Faster

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: FasterEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 13691215SE +/- 0.012, N = 3SE +/- 0.030, N = 3SE +/- 0.010, N = 3SE +/- 0.030, N = 3SE +/- 0.044, N = 311.27210.29110.74110.6356.3581. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

easyWave

Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200

OpenBenchmarking.orgSeconds, Fewer Is BettereasyWave r34Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1306090120150SE +/- 0.50, N = 3SE +/- 0.10, N = 3SE +/- 0.17, N = 3SE +/- 0.18, N = 3SE +/- 1.85, N = 339.3342.2642.0942.00152.341. (CXX) g++ options: -O3 -fopenmp

Quicksilver

Input: CORAL2 P1

OpenBenchmarking.orgFigure Of Merit, More Is BetterQuicksilver 20230818Input: CORAL2 P1EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 15M10M15M20M25MSE +/- 18559.21, N = 3SE +/- 24037.01, N = 3SE +/- 66583.28, N = 3SE +/- 106926.77, N = 3SE +/- 105830.05, N = 321233333182733331888000018950000130300001. (CXX) g++ options: -fopenmp -O3 -march=native

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection FP16-INT8 - Device: CPUEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1400800120016002000SE +/- 0.12, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 3644.80627.46510.71558.292096.01MIN: 320.58 / MAX: 691.03MIN: 560 / MAX: 672.37MIN: 471.88 / MAX: 558.37MIN: 500.71 / MAX: 574MIN: 2092.33 / MAX: 2113.241. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection FP16-INT8 - Device: CPUEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 11122334455SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.00, N = 349.4325.4131.2528.583.811. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

IndigoBench

Acceleration: CPU - Scene: Supercar

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1510152025SE +/- 0.020, N = 3SE +/- 0.010, N = 3SE +/- 0.058, N = 3SE +/- 0.005, N = 3SE +/- 0.024, N = 321.76711.24913.57312.5728.586

OSPRay

Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 148121620SE +/- 0.00619, N = 3SE +/- 0.00484, N = 3SE +/- 0.00075, N = 3SE +/- 0.00699, N = 3SE +/- 0.00520, N = 316.895408.8936110.493909.873734.14655

PyTorch

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

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 256 - Model: ResNet-50EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1918273645SE +/- 0.14, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.12, N = 336.2340.3640.5940.5420.48MIN: 14.59 / MAX: 36.98MIN: 18.81 / MAX: 40.93MIN: 14.97 / MAX: 41.27MIN: 14.7 / MAX: 41.23MIN: 11.38 / MAX: 21.17

Speedb

Test: Random Read

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Random ReadEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 150M100M150M200M250MSE +/- 139678.30, N = 3SE +/- 227689.47, N = 3SE +/- 141623.12, N = 3SE +/- 1751764.05, N = 3SE +/- 986396.38, N = 3248842616132248192163771762147991555859904451. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Detection FP16 - Device: CPUEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 14080120160200SE +/- 0.61, N = 3SE +/- 0.62, N = 3SE +/- 0.35, N = 3SE +/- 0.19, N = 3SE +/- 0.84, N = 3157.93121.74106.00110.77188.25MIN: 61.12 / MAX: 229.82MIN: 59.66 / MAX: 172.6MIN: 49.62 / MAX: 149.63MIN: 56.47 / MAX: 138.98MIN: 171.32 / MAX: 233.131. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Person Detection FP16 - Device: CPUEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 14080120160200SE +/- 0.77, N = 3SE +/- 0.65, N = 3SE +/- 0.51, N = 3SE +/- 0.22, N = 3SE +/- 0.18, N = 3202.29131.24150.74144.2742.431. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Machine Translation EN To DE FP16 - Device: CPUEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 150100150200250SE +/- 0.19, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.83, N = 3108.0697.9182.0088.55206.72MIN: 53.32 / MAX: 156.54MIN: 52.76 / MAX: 116.94MIN: 44.77 / MAX: 103.78MIN: 48.33 / MAX: 138.85MIN: 173.41 / MAX: 362.841. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Machine Translation EN To DE FP16 - Device: CPUEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 160120180240300SE +/- 0.54, N = 3SE +/- 0.05, N = 3SE +/- 0.19, N = 3SE +/- 0.04, N = 3SE +/- 0.16, N = 3295.61163.09194.71180.3238.631. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 148121620SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 312.4711.159.3410.1817.20MIN: 7.72 / MAX: 24.35MIN: 7.24 / MAX: 68.4MIN: 5.89 / MAX: 67.06MIN: 6.06 / MAX: 60MIN: 16.21 / MAX: 31.681. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 15001000150020002500SE +/- 2.30, N = 3SE +/- 1.32, N = 3SE +/- 1.86, N = 3SE +/- 1.13, N = 3SE +/- 1.37, N = 32547.731424.531701.181563.36464.481. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16-INT8 - Device: CPUEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 11224364860SE +/- 0.13, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 334.1430.6925.2127.5653.64MIN: 18.62 / MAX: 101.35MIN: 17.73 / MAX: 77.96MIN: 14.47 / MAX: 81.04MIN: 15.77 / MAX: 72.29MIN: 52.65 / MAX: 65.911. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16-INT8 - Device: CPUEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 12004006008001000SE +/- 3.62, N = 3SE +/- 0.24, N = 3SE +/- 0.09, N = 3SE +/- 0.14, N = 3SE +/- 0.05, N = 3934.59520.24633.21579.34149.011. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16-INT8 - Device: CPUEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 13691215SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 37.527.135.776.309.09MIN: 3.38 / MAX: 63.31MIN: 3.71 / MAX: 59.81MIN: 3.23 / MAX: 59.13MIN: 3.34 / MAX: 35.73MIN: 9.03 / MAX: 17.521. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16-INT8 - Device: CPUEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 12K4K6K8K10KSE +/- 9.00, N = 3SE +/- 1.85, N = 3SE +/- 1.73, N = 3SE +/- 1.37, N = 3SE +/- 0.47, N = 38310.714405.625418.924977.13878.711. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1612182430SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 311.2410.398.529.2926.96MIN: 6.13 / MAX: 91.04MIN: 6.01 / MAX: 19.76MIN: 4.86 / MAX: 58.62MIN: 5.21 / MAX: 64.17MIN: 26.82 / MAX: 36.461. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 16001200180024003000SE +/- 0.56, N = 3SE +/- 1.22, N = 3SE +/- 0.21, N = 3SE +/- 0.65, N = 3SE +/- 0.10, N = 32816.091527.321860.651710.42296.421. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OSPRay

Benchmark: gravity_spheres_volume/dim_512/scivis/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 148121620SE +/- 0.00073, N = 3SE +/- 0.01310, N = 3SE +/- 0.01463, N = 3SE +/- 0.02613, N = 3SE +/- 0.01198, N = 314.613107.665328.836228.456342.45276

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 10.5491.0981.6472.1962.745SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.610.570.470.512.44MIN: 0.27 / MAX: 24.31MIN: 0.29 / MAX: 15.45MIN: 0.27 / MAX: 11.17MIN: 0.28 / MAX: 50.42MIN: 2.39 / MAX: 9.341. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 115K30K45K60K75KSE +/- 93.27, N = 3SE +/- 33.66, N = 3SE +/- 23.70, N = 3SE +/- 37.85, N = 3SE +/- 8.89, N = 371960.4143375.5552709.1949194.5513039.701. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 120406080100SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 312.9712.5810.2011.1284.77MIN: 6.18 / MAX: 27.89MIN: 6.69 / MAX: 66.41MIN: 5.92 / MAX: 71.44MIN: 76.49 / MAX: 98.51. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 110002000300040005000SE +/- 1.98, N = 3SE +/- 0.51, N = 3SE +/- 0.48, N = 3SE +/- 0.72, N = 3SE +/- 0.03, N = 34878.002520.773102.132851.01376.971. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

Speedb

Test: Read Random Write Random

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Read Random Write RandomEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1500K1000K1500K2000K2500KSE +/- 2240.30, N = 3SE +/- 1833.01, N = 3SE +/- 3849.48, N = 3SE +/- 1300.80, N = 3SE +/- 4528.27, N = 3227202619822572233744213331114478191. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Timed Linux Kernel Compilation

Build: defconfig

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfigEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 120406080100SE +/- 0.52, N = 4SE +/- 0.71, N = 3SE +/- 0.71, N = 3SE +/- 0.67, N = 3SE +/- 0.84, N = 344.4258.5252.1454.8076.20

OSPRay

Benchmark: gravity_spheres_volume/dim_512/ao/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/ao/real_timeEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 148121620SE +/- 0.01491, N = 3SE +/- 0.02953, N = 3SE +/- 0.02105, N = 3SE +/- 0.02664, N = 3SE +/- 0.00308, N = 315.059607.979109.142578.788982.59961

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1200K400K600K800K1000KSE +/- 136.41, N = 3SE +/- 22.57, N = 3SE +/- 61.89, N = 3SE +/- 30.98, N = 3SE +/- 714.27, N = 3828697.4430171.6457516.3457514.1292445.31. (CC) gcc options: -pthread -m64 -O3 -ldl

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 15K10K15K20K25KSE +/- 4.13, N = 3SE +/- 3.00, N = 3SE +/- 2.49, N = 3SE +/- 3.08, N = 3SE +/- 12.09, N = 321064.111909.215040.713565.84497.11. (CC) gcc options: -pthread -m64 -O3 -ldl

RocksDB

Test: Random Read

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Random ReadEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 150M100M150M200M250MSE +/- 187915.38, N = 3SE +/- 242981.96, N = 3SE +/- 126210.06, N = 3SE +/- 294601.47, N = 3SE +/- 709803.02, N = 3248969387131206830161678876147721769846164081. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Xmrig

Variant: Wownero - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: Wownero - Hash Count: 1MEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 18K16K24K32K40KSE +/- 47.09, N = 3SE +/- 107.46, N = 3SE +/- 52.06, N = 3SE +/- 6.52, N = 3SE +/- 120.26, N = 335370.021769.225644.324096.29331.61. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Blender

Blend File: BMW27 - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: BMW27 - Compute: CPU-OnlyEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 11632486480SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.13, N = 3SE +/- 0.15, N = 3SE +/- 0.20, N = 330.5758.2047.5052.0272.43

Neural Magic DeepSparse

Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-StreamEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 11428425670SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.70, N = 324.8223.6919.5321.2464.80

Neural Magic DeepSparse

Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-StreamEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 130060090012001500SE +/- 0.39, N = 3SE +/- 0.29, N = 3SE +/- 1.14, N = 3SE +/- 0.55, N = 3SE +/- 2.58, N = 31287.88674.93818.31752.59246.64

Neural Magic DeepSparse

Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 130060090012001500SE +/- 0.18, N = 3SE +/- 0.38, N = 3SE +/- 1.08, N = 3SE +/- 1.07, N = 3SE +/- 7.41, N = 3982.61892.10751.62803.821501.61

Neural Magic DeepSparse

Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1714212835SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 332.1617.7621.0219.6410.45

Neural Magic DeepSparse

Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-StreamEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1306090120150SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.18, N = 3SE +/- 0.15, N = 3SE +/- 1.37, N = 352.1249.8041.6444.72124.09

Neural Magic DeepSparse

Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-StreamEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1130260390520650SE +/- 0.38, N = 3SE +/- 0.28, N = 3SE +/- 1.61, N = 3SE +/- 1.23, N = 3SE +/- 1.39, N = 3613.23320.86383.70357.30128.67

Neural Magic DeepSparse

Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 130060090012001500SE +/- 0.09, N = 3SE +/- 0.79, N = 3SE +/- 1.23, N = 3SE +/- 0.47, N = 3SE +/- 0.89, N = 3982.33894.20752.51801.191515.68

Neural Magic DeepSparse

Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1714212835SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 332.1517.6721.0019.7510.34

rav1e

Speed: 6

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.7Speed: 6EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 11.09532.19063.28594.38125.4765SE +/- 0.006, N = 3SE +/- 0.017, N = 3SE +/- 0.003, N = 3SE +/- 0.014, N = 3SE +/- 0.020, N = 34.8684.7274.7064.7312.963

ACES DGEMM

Sustained Floating-Point Rate

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1510152025SE +/- 0.111892, N = 5SE +/- 0.073791, N = 3SE +/- 0.076181, N = 15SE +/- 0.135732, N = 3SE +/- 0.031226, N = 321.13881911.51727211.64561611.4348493.8867761. (CC) gcc options: -O3 -march=native -fopenmp

Neural Magic DeepSparse

Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-StreamEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1400800120016002000SE +/- 0.40, N = 3SE +/- 0.37, N = 3SE +/- 0.25, N = 3SE +/- 0.46, N = 3SE +/- 6.61, N = 3556.15493.99410.47443.431840.95

Neural Magic DeepSparse

Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-StreamEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 11326395265SE +/- 0.1049, N = 3SE +/- 0.0604, N = 3SE +/- 0.0215, N = 3SE +/- 0.0667, N = 3SE +/- 0.0850, N = 356.841932.128938.820235.79298.5097

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Execution Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Execution TimeEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 130609012015058.6182.1573.5175.25122.261. (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

Neural Magic DeepSparse

Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 14080120160200SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 1.56, N = 3113.45104.9088.1594.20189.32

Neural Magic DeepSparse

Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 160120180240300SE +/- 0.08, N = 3SE +/- 0.12, N = 3SE +/- 0.11, N = 3SE +/- 0.11, N = 3SE +/- 0.71, N = 3281.49152.21181.23169.5684.43

NAMD

ATPase Simulation - 327,506 Atoms

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 10.21890.43780.65670.87561.0945SE +/- 0.00128, N = 3SE +/- 0.00094, N = 3SE +/- 0.00067, N = 3SE +/- 0.00161, N = 3SE +/- 0.00038, N = 30.432000.827900.677280.735580.97282

7-Zip Compression

Test: Decompression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 170K140K210K280K350KSE +/- 107.49, N = 3SE +/- 170.94, N = 3SE +/- 111.02, N = 3SE +/- 181.34, N = 3SE +/- 602.42, N = 33439461790722111872000341334901. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

7-Zip Compression

Test: Compression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 170K140K210K280K350KSE +/- 303.12, N = 3SE +/- 39.63, N = 3SE +/- 329.87, N = 3SE +/- 172.23, N = 3SE +/- 1639.95, N = 33329222124582400832289571237461. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

Neural Magic DeepSparse

Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-StreamEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 150100150200250SE +/- 0.14, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.88, N = 3166.95154.28130.42139.18234.02

Neural Magic DeepSparse

Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-StreamEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 14080120160200SE +/- 0.20, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.10, N = 3SE +/- 0.28, N = 3191.07103.44122.37114.6268.16

Neural Magic DeepSparse

Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-StreamEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 150100150200250SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.14, N = 3SE +/- 0.04, N = 3SE +/- 1.50, N = 3166.03153.40129.84138.23231.40

Neural Magic DeepSparse

Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-StreamEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 14080120160200SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.18, N = 3SE +/- 0.07, N = 3SE +/- 0.44, N = 3192.06104.13122.93115.4268.95

Neural Magic DeepSparse

Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1306090120150SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.35, N = 374.4369.6059.8762.82115.78

Neural Magic DeepSparse

Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 190180270360450SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.41, N = 3429.33229.54266.96254.30138.03

Neural Magic DeepSparse

Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-StreamEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 120406080100SE +/- 0.0062, N = 3SE +/- 0.0084, N = 3SE +/- 0.0229, N = 3SE +/- 0.0078, N = 3SE +/- 0.1244, N = 39.25208.37457.28167.6064104.4436

Neural Magic DeepSparse

Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-StreamEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 17001400210028003500SE +/- 2.41, N = 3SE +/- 2.26, N = 3SE +/- 7.34, N = 3SE +/- 2.41, N = 3SE +/- 0.21, N = 33450.431906.392193.092099.32152.96

Neural Magic DeepSparse

Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-StreamEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1306090120150SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.43, N = 374.4169.5159.8762.88115.35

Neural Magic DeepSparse

Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-StreamEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 190180270360450SE +/- 0.37, N = 3SE +/- 0.16, N = 3SE +/- 0.34, N = 3SE +/- 0.06, N = 3SE +/- 0.48, N = 3429.36229.91266.99254.13138.53

SVT-AV1

Encoder Mode: Preset 4 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 4 - Input: Bosphorus 4KEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1246810SE +/- 0.026, N = 3SE +/- 0.003, N = 3SE +/- 0.020, N = 3SE +/- 0.004, N = 3SE +/- 0.004, N = 36.5565.5515.9115.8163.0651. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Intel Open Image Denoise

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

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-OnlyEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 10.38480.76961.15441.53921.924SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.710.931.111.030.48

Kripke

OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.6EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 160M120M180M240M300MSE +/- 1948629.96, N = 3SE +/- 363531.75, N = 3SE +/- 634968.78, N = 3SE +/- 2369703.74, N = 3SE +/- 1494376.42, N = 32883943002475001332687732672587161671817959671. (CXX) g++ options: -O3 -fopenmp -ldl

PyTorch

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

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-50EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 11224364860SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.20, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 345.2352.9052.7252.9124.89MIN: 16.58 / MAX: 46.26MIN: 50.6 / MAX: 53.56MIN: 50.17 / MAX: 53.72MIN: 50.65 / MAX: 53.55MIN: 12.04 / MAX: 25.89

x265

Video Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1612182430SE +/- 0.17, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.10, N = 327.5124.0325.5525.4514.291. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

Timed FFmpeg Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 6.1Time To CompileEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1918273645SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 319.3827.5724.4925.6839.89

Xcompact3d Incompact3d

Input: input.i3d 193 Cells Per Direction

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per DirectionEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1918273645SE +/- 0.18, N = 3SE +/- 0.02, N = 3SE +/- 0.16, N = 3SE +/- 0.22, N = 3SE +/- 0.06, N = 320.9824.3523.9123.7737.991. (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

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 11326395265SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 0.12, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 359.0531.0836.8934.2418.44MIN: 57.98 / MAX: 61.17MIN: 30.63 / MAX: 31.81MIN: 36.22 / MAX: 37.68MIN: 33.72 / MAX: 35.12MIN: 18.15 / MAX: 18.78

miniBUDE

Implementation: OpenMP - Input Deck: BM1

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 120406080100SE +/- 0.02, N = 6SE +/- 0.06, N = 4SE +/- 0.01, N = 4SE +/- 0.03, N = 4SE +/- 0.02, N = 399.6551.1261.1557.1014.331. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

miniBUDE

Implementation: OpenMP - Input Deck: BM1

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 15001000150020002500SE +/- 0.47, N = 6SE +/- 1.51, N = 4SE +/- 0.21, N = 4SE +/- 0.86, N = 4SE +/- 0.43, N = 32491.171278.031528.851427.41358.251. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 8 - Input: Bosphorus 4KEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 11428425670SE +/- 0.39, N = 4SE +/- 0.05, N = 4SE +/- 0.13, N = 4SE +/- 0.14, N = 4SE +/- 0.28, N = 564.3451.5458.0055.7226.751. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Y-Cruncher

Pi Digits To Calculate: 1B

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.3Pi Digits To Calculate: 1BEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1816243240SE +/- 0.01, N = 4SE +/- 0.01, N = 3SE +/- 0.01, N = 4SE +/- 0.02, N = 3SE +/- 0.10, N = 310.4413.9711.9312.8933.91

SVT-AV1

Encoder Mode: Preset 12 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 12 - Input: Bosphorus 4KEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 14080120160200SE +/- 2.10, N = 5SE +/- 1.17, N = 5SE +/- 1.24, N = 13SE +/- 1.73, N = 6SE +/- 0.47, N = 3190.89167.16182.26175.7570.771. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 120406080100SE +/- 0.10, N = 5SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 374.9339.6045.5143.1321.84MIN: 73.96 / MAX: 76.92MIN: 39.34 / MAX: 40.89MIN: 45.23 / MAX: 46.5MIN: 42.84 / MAX: 43.66MIN: 21.59 / MAX: 22.16

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 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 11122334455SE +/- 0.04, N = 4SE +/- 0.03, N = 3SE +/- 0.02, N = 4SE +/- 0.02, N = 4SE +/- 0.08, N = 347.6533.8239.2537.3322.26

uvg266

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

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Super FastEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 11122334455SE +/- 0.06, N = 4SE +/- 0.03, N = 4SE +/- 0.03, N = 4SE +/- 0.08, N = 4SE +/- 0.02, N = 349.2236.7542.9440.5023.58

Y-Cruncher

Pi Digits To Calculate: 500M

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.3Pi Digits To Calculate: 500MEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 148121620SE +/- 0.005, N = 5SE +/- 0.006, N = 5SE +/- 0.003, N = 5SE +/- 0.010, N = 5SE +/- 0.140, N = 75.2076.6535.7476.19215.515

uvg266

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

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Ultra FastEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 11224364860SE +/- 0.14, N = 4SE +/- 0.04, N = 4SE +/- 0.05, N = 4SE +/- 0.06, N = 4SE +/- 0.03, N = 351.3341.0246.5444.8127.29

CPU Power Consumption Monitor

Phoronix Test Suite System Monitoring

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 14080120160200Min: 6.99 / Avg: 97.94 / Max: 154.25Min: 6.71 / Avg: 71.8 / Max: 108.62Min: 6.76 / Avg: 88.61 / Max: 141.34Min: 11.47 / Avg: 82.06 / Max: 125.14Min: 32.69 / Avg: 143.24 / Max: 192.83

Xmrig

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C14.9123.3127.0EPYC 8324PN - Zen 4C13.078.288.5EPYC 8324P - Zen 4C12.798.5101.3EPYC 8324P - Zen 4C, 155W13.599.5102.3EPYC 7601 - Zen 165.8139.9146.3OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor4080120160200

Xmrig

Variant: GhostRider - Hash Count: 1M

OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: GhostRider - Hash Count: 1MEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1112233445535.48150.34041.05040.5277.453

Xmrig

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C14.1131.4143.8EPYC 8324PN - Zen 4C13.189.295.6EPYC 8324P - Zen 4C13.6126.9138.0EPYC 8324P - Zen 4C, 155W13.0105.5115.0EPYC 7601 - Zen 165.7150.1166.7OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor50100150200250

Xmrig

Variant: KawPow - Hash Count: 1M

OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: KawPow - Hash Count: 1MEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 14080120160200155.95189.15148.73171.5031.23

Xmrig

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C14.9130.3143.1EPYC 8324PN - Zen 4C13.189.095.9EPYC 8324P - Zen 4C13.5127.5138.3EPYC 8324P - Zen 4C, 155W13.6104.6114.3EPYC 7601 - Zen 165.9152.8165.7OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor50100150200250

Xmrig

Variant: CryptoNight-Heavy - Hash Count: 1M

OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: CryptoNight-Heavy - Hash Count: 1MEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 14080120160200157.28190.30148.12173.4933.30

Xmrig

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C14.6129.8142.6EPYC 8324PN - Zen 4C13.189.095.5EPYC 8324P - Zen 4C11.2126.8137.8EPYC 8324P - Zen 4C, 155W13.4104.8115.5EPYC 7601 - Zen 165.4152.1165.1OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor50100150200250

Xmrig

Variant: CryptoNight-Femto UPX2 - Hash Count: 1M

OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: CryptoNight-Femto UPX2 - Hash Count: 1MEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 14080120160200157.77188.75149.20172.6633.27

Xmrig

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C14.3133.0154.3EPYC 8324PN - Zen 4C13.187.995.9EPYC 8324P - Zen 4C13.3116.4133.1EPYC 8324P - Zen 4C, 155W12.8103.4113.7EPYC 7601 - Zen 165.7162.1172.1OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor50100150200250

Xmrig

Variant: Wownero - Hash Count: 1M

OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: Wownero - Hash Count: 1MEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 160120180240300265.91247.53219.80233.1057.58

Xmrig

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.6127.4140.9EPYC 8324PN - Zen 4C12.889.395.4EPYC 8324P - Zen 4C12.8125.6136.7EPYC 8324P - Zen 4C, 155W12.8104.1113.6EPYC 7601 - Zen 166.9152.3164.3OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor50100150200250

Xmrig

Variant: Monero - Hash Count: 1M

OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: Monero - Hash Count: 1MEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 14080120160200160.74189.12150.56174.2032.66

PyTorch

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C12.893.2106.3EPYC 8324PN - Zen 4C12.675.085.7EPYC 8324P - Zen 4C12.877.188.7EPYC 8324P - Zen 4C, 155W13.178.089.1EPYC 7601 - Zen 164.7161.6173.2OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor50100150200250

PyTorch

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

OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 256 - Model: ResNet-50EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 10.12110.24220.36330.48440.60550.3890.5380.5270.5190.127

PyTorch

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.482.098.6EPYC 8324PN - Zen 4C12.965.679.0EPYC 8324P - Zen 4C12.867.381.3EPYC 8324P - Zen 4C, 155W13.367.881.9EPYC 7601 - Zen 163.8153.6174.3OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor50100150200250

PyTorch

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

OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-50EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 10.18160.36320.54480.72640.9080.5520.8070.7840.7810.162

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.093.6109.8EPYC 8324PN - Zen 4C6.781.997.1EPYC 8324P - Zen 4C13.093.5112.6EPYC 8324P - Zen 4C, 155W13.292.6109.9EPYC 7601 - Zen 164.2129.4142.8OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor4080120160200

TensorFlow

Device: CPU - Batch Size: 16 - Model: ResNet-50

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: ResNet-50EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 10.13140.26280.39420.52560.6570.5190.5840.5530.5510.068

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C11.892.3120.3EPYC 8324PN - Zen 4C12.764.980.5EPYC 8324P - Zen 4C12.881.7112.7EPYC 8324P - Zen 4C, 155W13.074.196.2EPYC 7601 - Zen 165.2138.7176.8OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor50100150200250

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.780.1127.4EPYC 8324PN - Zen 4C12.860.386.0EPYC 8324P - Zen 4C12.171.4119.7EPYC 8324P - Zen 4C, 155W13.267.0108.3EPYC 7601 - Zen 164.8109.6177.6OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor50100150200250

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C12.796.8114.2EPYC 8324PN - Zen 4C12.466.576.5EPYC 8324P - Zen 4C12.993.1108.1EPYC 8324P - Zen 4C, 155W13.277.095.3EPYC 7601 - Zen 164.5159.1177.2OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor50100150200250

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.6103.7123.1EPYC 8324PN - Zen 4C12.869.881.3EPYC 8324P - Zen 4C13.089.2114.7EPYC 8324P - Zen 4C, 155W13.181.297.7EPYC 7601 - Zen 164.6142.0172.7OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor50100150200250

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.5101.9133.4EPYC 8324PN - Zen 4C12.569.789.0EPYC 8324P - Zen 4C11.888.8121.7EPYC 8324P - Zen 4C, 155W13.280.1102.2EPYC 7601 - Zen 165.5140.7177.7OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor50100150200250

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.8105.5121.8EPYC 8324PN - Zen 4C12.669.883.0EPYC 8324P - Zen 4C11.491.0116.6EPYC 8324P - Zen 4C, 155W13.482.5101.3EPYC 7601 - Zen 164.4156.5176.5OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor50100150200250

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C12.7106.4129.0EPYC 8324PN - Zen 4C12.370.881.0EPYC 8324P - Zen 4C13.091.9117.7EPYC 8324P - Zen 4C, 155W13.082.698.1EPYC 7601 - Zen 164.8157.0176.8OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor50100150200250

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.386.8132.4EPYC 8324PN - Zen 4C12.569.484.7EPYC 8324P - Zen 4C12.189.9119.5EPYC 8324P - Zen 4C, 155W13.180.9105.1EPYC 7601 - Zen 164.7140.6177.4OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor50100150200250

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxEPYC 7601 - Zen 166.0156.5177.4EPYC 8324P - Zen 4C13.096.8111.3EPYC 8324P - Zen 4C, 155W13.380.5100.1EPYC 8324PN - Zen 4C11.667.879.3EPYC 8534PN - Zen 4C13.1101.0122.6OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor50100150200250

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.899.4123.8EPYC 8324PN - Zen 4C12.667.583.1EPYC 8324P - Zen 4C12.987.7109.6EPYC 8324P - Zen 4C, 155W12.778.591.9EPYC 7601 - Zen 165.4148.0176.5OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor50100150200250

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.279.6118.6EPYC 8324PN - Zen 4C12.664.682.1EPYC 8324P - Zen 4C12.181.3112.8EPYC 8324P - Zen 4C, 155W13.473.797.1EPYC 7601 - Zen 164.8139.0177.3OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor50100150200250

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.5124.7135.8EPYC 8324PN - Zen 4C12.979.088.7EPYC 8324P - Zen 4C11.9104.0120.7EPYC 8324P - Zen 4C, 155W13.392.6106.0EPYC 7601 - Zen 165.0153.8166.6OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor50100150200250

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C14.7129.3140.0EPYC 8324PN - Zen 4C12.380.789.5EPYC 8324P - Zen 4C12.4106.7121.1EPYC 8324P - Zen 4C, 155W12.795.9108.8EPYC 7601 - Zen 164.7168.1177.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor50100150200250

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C14.4126.6136.6EPYC 8324PN - Zen 4C12.280.189.9EPYC 8324P - Zen 4C12.9105.9120.6EPYC 8324P - Zen 4C, 155W13.294.2106.4EPYC 7601 - Zen 165.0151.0162.8OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor50100150200250

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C14.5131.7146.8EPYC 8324PN - Zen 4C12.685.097.1EPYC 8324P - Zen 4C13.3113.1127.7EPYC 8324P - Zen 4C, 155W13.5101.9112.7EPYC 7601 - Zen 164.9165.7175.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor50100150200250

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C14.6123.5136.6EPYC 8324PN - Zen 4C12.682.188.2EPYC 8324P - Zen 4C13.3110.5119.3EPYC 8324P - Zen 4C, 155W13.598.0108.0EPYC 7601 - Zen 164.7165.9176.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor50100150200250

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C14.6128.8140.9EPYC 8324PN - Zen 4C12.980.690.1EPYC 8324P - Zen 4C12.7106.6124.5EPYC 8324P - Zen 4C, 155W13.594.2105.1EPYC 7601 - Zen 164.6153.2165.8OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor50100150200250

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C14.7123.5133.3EPYC 8324PN - Zen 4C12.179.589.5EPYC 8324P - Zen 4C13.4105.0123.3EPYC 8324P - Zen 4C, 155W13.093.2104.2EPYC 7601 - Zen 165.0150.9163.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor50100150200250

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C14.0135.5149.3EPYC 8324PN - Zen 4C13.087.099.0EPYC 8324P - Zen 4C13.0116.5130.1EPYC 8324P - Zen 4C, 155W13.5102.0112.3EPYC 7601 - Zen 164.8166.9177.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor50100150200250

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.5120.8131.1EPYC 8324PN - Zen 4C13.079.789.2EPYC 8324P - Zen 4C11.7108.3128.7EPYC 8324P - Zen 4C, 155W13.095.1107.0EPYC 7601 - Zen 164.4158.2170.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor50100150200250

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.0120.2133.3EPYC 8324PN - Zen 4C12.878.589.0EPYC 8324P - Zen 4C13.3104.3122.2EPYC 8324P - Zen 4C, 155W13.294.1105.1EPYC 7601 - Zen 164.8149.2164.7OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor50100150200250

Llama.cpp

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.8101.1109.8EPYC 8324P - Zen 4C13.0126.4141.3EPYC 8324P - Zen 4C, 155W12.2104.0121.2EPYC 7601 - Zen 164.0134.9177.0OpenBenchmarking.orgWatts, Fewer Is BetterLlama.cpp b1808CPU Power Consumption Monitor50100150200250

Llama.cpp

Model: llama-2-70b-chat.Q5_0.gguf

OpenBenchmarking.orgTokens Per Second Per Watt, More Is BetterLlama.cpp b1808Model: llama-2-70b-chat.Q5_0.ggufEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 10.0070.0140.0210.0280.0350.0310.0270.0280.003

Llama.cpp

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.691.5104.2EPYC 8324P - Zen 4C12.9103.1130.5EPYC 8324P - Zen 4C, 155W13.295.6116.7EPYC 7601 - Zen 164.3132.7166.7OpenBenchmarking.orgWatts, Fewer Is BetterLlama.cpp b1808CPU Power Consumption Monitor50100150200250

Llama.cpp

Model: llama-2-13b.Q4_0.gguf

OpenBenchmarking.orgTokens Per Second Per Watt, More Is BetterLlama.cpp b1808Model: llama-2-13b.Q4_0.ggufEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 10.04190.08380.12570.16760.20950.1860.1740.1790.019

Llama.cpp

CPU Power Consumption Monitor

MinAvgMaxEPYC 8324PN - Zen 4C12.682.4100.5EPYC 8324P - Zen 4C11.892.9119.1EPYC 8324P - Zen 4C, 155W12.589.1113.3EPYC 7601 - Zen 164.9132.4154.0OpenBenchmarking.orgWatts, Fewer Is BetterLlama.cpp b1808CPU Power Consumption Monitor4080120160200

Llama.cpp

Model: llama-2-7b.Q4_0.gguf

OpenBenchmarking.orgTokens Per Second Per Watt, More Is BetterLlama.cpp b1808Model: llama-2-7b.Q4_0.ggufEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 10.07790.15580.23370.31160.38950.3460.3200.3300.032

VVenC

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.071.1115.0EPYC 8324PN - Zen 4C12.969.889.3EPYC 8324P - Zen 4C11.880.4107.5EPYC 8324P - Zen 4C, 155W13.178.7103.8EPYC 7601 - Zen 164.8129.1162.9OpenBenchmarking.orgWatts, Fewer Is BetterVVenC 1.9CPU Power Consumption Monitor50100150200250

VVenC

Video Input: Bosphorus 4K - Video Preset: Faster

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: FasterEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 10.03560.07120.10680.14240.1780.1580.1470.1340.1350.049

uvg266

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.481.0114.6EPYC 8324PN - Zen 4C12.665.887.1EPYC 8324P - Zen 4C12.885.3111.9EPYC 8324P - Zen 4C, 155W13.577.1102.8EPYC 7601 - Zen 164.4148.0169.3OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor50100150200250

uvg266

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

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Ultra FastEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 10.14270.28540.42810.57080.71350.6340.6230.5460.5810.184

uvg266

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C12.086.0119.7EPYC 8324PN - Zen 4C12.568.789.9EPYC 8324P - Zen 4C12.988.5116.2EPYC 8324P - Zen 4C, 155W13.680.0102.0EPYC 7601 - Zen 165.3152.6171.2OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor50100150200250

uvg266

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

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Super FastEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 10.12870.25740.38610.51480.64350.5720.5350.4850.5060.155

uvg266

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.788.2122.3EPYC 8324PN - Zen 4C12.868.588.7EPYC 8324P - Zen 4C13.089.3117.0EPYC 8324P - Zen 4C, 155W13.780.5105.1EPYC 7601 - Zen 164.3152.6171.9OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor50100150200250

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 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 10.12170.24340.36510.48680.60850.5410.4940.4390.4640.146

x265

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C12.676.196.9EPYC 8324PN - Zen 4C12.161.676.0EPYC 8324P - Zen 4C10.474.695.5EPYC 8324P - Zen 4C, 155W13.274.491.2EPYC 7601 - Zen 164.3128.0150.6OpenBenchmarking.orgWatts, Fewer Is Betterx265 3.4CPU Power Consumption Monitor4080120160200

x265

Video Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterx265 3.4Video Input: Bosphorus 4KEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 10.08780.17560.26340.35120.4390.3620.3900.3430.3420.112

rav1e

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C12.254.261.9EPYC 8324PN - Zen 4C12.752.459.7EPYC 8324P - Zen 4C12.553.160.2EPYC 8324P - Zen 4C, 155W13.354.061.3EPYC 7601 - Zen 165.793.2104.7OpenBenchmarking.orgWatts, Fewer Is Betterrav1e 0.7CPU Power Consumption Monitor20406080100

rav1e

Speed: 6

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.7Speed: 6EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 10.02030.04060.06090.08120.10150.0900.0900.0890.0880.032

rav1e

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C12.954.659.0EPYC 8324PN - Zen 4C12.252.356.9EPYC 8324P - Zen 4C12.653.158.3EPYC 8324P - Zen 4C, 155W13.353.658.5EPYC 7601 - Zen 145.588.596.7OpenBenchmarking.orgWatts, Fewer Is Betterrav1e 0.7CPU Power Consumption Monitor20406080100

rav1e

Speed: 10

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.7Speed: 10EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 10.05090.10180.15270.20360.25450.2230.2260.2220.2210.079

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C12.672.9105.4EPYC 8324PN - Zen 4C12.661.386.3EPYC 8324P - Zen 4C12.774.3120.0EPYC 8324P - Zen 4C, 155W13.370.5101.6EPYC 7601 - Zen 163.4125.1171.7OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor50100150200250

SVT-AV1

Encoder Mode: Preset 4 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 4 - Input: Bosphorus 4KEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 10.02050.0410.06150.0820.10250.0900.0910.0800.0820.024

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C12.266.7108.8EPYC 8324PN - Zen 4C12.558.584.2EPYC 8324P - Zen 4C12.470.2112.0EPYC 8324P - Zen 4C, 155W13.265.297.5EPYC 7601 - Zen 163.7124.3172.5OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor50100150200250

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 8 - Input: Bosphorus 4KEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 10.21710.43420.65130.86841.08550.9650.8820.8260.8550.215

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C12.748.6109.6EPYC 8324PN - Zen 4C12.544.582.7EPYC 8324P - Zen 4C12.049.7112.3EPYC 8324P - Zen 4C, 155W13.247.9100.4EPYC 7601 - Zen 165.497.5157.6OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor4080120160200

SVT-AV1

Encoder Mode: Preset 12 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 12 - Input: Bosphorus 4KEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 10.88291.76582.64873.53164.41453.9243.7393.6653.6660.726

FFmpeg

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C12.961.579.2EPYC 8324PN - Zen 4C12.758.574.5EPYC 8324P - Zen 4C12.659.878.4EPYC 8324P - Zen 4C, 155W13.260.578.7EPYC 7601 - Zen 137.887.0127.4OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor4080120160200

FFmpeg

Encoder: libx265 - Scenario: Video On Demand

OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: Video On DemandEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 10.1730.3460.5190.6920.8650.7650.7690.7530.7440.241

FFmpeg

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C11.361.477.5EPYC 8324PN - Zen 4C11.958.675.3EPYC 8324P - Zen 4C12.559.875.2EPYC 8324P - Zen 4C, 155W13.360.578.2EPYC 7601 - Zen 162.587.1125.3OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor4080120160200

FFmpeg

Encoder: libx265 - Scenario: Platform

OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: PlatformEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 10.1730.3460.5190.6920.8650.7660.7690.7530.7450.241

FFmpeg

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C12.257.789.3EPYC 8324PN - Zen 4C12.755.076.7EPYC 8324P - Zen 4C12.756.286.2EPYC 8324P - Zen 4C, 155W13.357.089.0EPYC 7601 - Zen 163.084.5141.4OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor4080120160200

FFmpeg

Encoder: libx265 - Scenario: Upload

OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: UploadEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 10.09110.18220.27330.36440.45550.4040.4050.3960.3910.123

FFmpeg

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.257.478.9EPYC 8324PN - Zen 4C12.353.871.4EPYC 8324P - Zen 4C12.055.274.9EPYC 8324P - Zen 4C, 155W13.555.574.6EPYC 7601 - Zen 164.082.5112.1OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor4080120160200

FFmpeg

Encoder: libx265 - Scenario: Live

OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: LiveEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 10.4590.9181.3771.8362.2952.0052.0401.9881.9770.704

IndigoBench

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C7.0101.7142.9EPYC 8324PN - Zen 4C12.483.691.8EPYC 8324P - Zen 4C13.3112.5129.6EPYC 8324P - Zen 4C, 155W13.898.9111.2EPYC 7601 - Zen 165.4165.8179.2OpenBenchmarking.orgWatts, Fewer Is BetterIndigoBench 4.4CPU Power Consumption Monitor50100150200250

IndigoBench

Acceleration: CPU - Scene: Bedroom

OpenBenchmarking.orgM samples/s Per Watt, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: BedroomEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 10.02210.04420.06630.08840.11050.0980.0610.0550.0580.024

IndigoBench

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.4112.4140.3EPYC 8324PN - Zen 4C12.482.088.8EPYC 8324P - Zen 4C12.6111.0122.4EPYC 8324P - Zen 4C, 155W13.796.6108.8EPYC 7601 - Zen 164.9166.9178.8OpenBenchmarking.orgWatts, Fewer Is BetterIndigoBench 4.4CPU Power Consumption Monitor50100150200250

IndigoBench

Acceleration: CPU - Scene: Supercar

OpenBenchmarking.orgM samples/s Per Watt, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 10.04370.08740.13110.17480.21850.1940.1370.1220.1300.051

Chaos Group V-RAY

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.7111.2137.4EPYC 8324PN - Zen 4C12.274.691.5EPYC 8324P - Zen 4C12.995.3122.0EPYC 8324P - Zen 4C, 155W13.587.1106.2EPYC 7601 - Zen 164.1145.6179.2OpenBenchmarking.orgWatts, Fewer Is BetterChaos Group V-RAY 5.02CPU Power Consumption Monitor50100150200250

Chaos Group V-RAY

Mode: CPU

OpenBenchmarking.orgvsamples Per Watt, More Is BetterChaos Group V-RAY 5.02Mode: CPUEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1110220330440550487.44377.52351.76361.93136.76

OSPRay

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.8112.4131.6EPYC 8324PN - Zen 4C12.875.188.1EPYC 8324P - Zen 4C12.698.1119.5EPYC 8324P - Zen 4C, 155W13.685.6106.9EPYC 7601 - Zen 165.4151.9175.1OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor50100150200250

OSPRay

Benchmark: particle_volume/pathtracer/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: particle_volume/pathtracer/real_timeEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 10.4410.8821.3231.7642.2051.4601.9601.5011.7210.651

OSPRay

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.6104.4125.1EPYC 8324PN - Zen 4C12.673.485.4EPYC 8324P - Zen 4C12.894.0110.8EPYC 8324P - Zen 4C, 155W13.887.3109.1EPYC 7601 - Zen 160.0155.5175.7OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor50100150200250

OSPRay

Benchmark: particle_volume/scivis/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: particle_volume/scivis/real_timeEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 10.0320.0640.0960.1280.160.1420.1110.0930.1000.034

OSPRay

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.7117.1126.2EPYC 8324PN - Zen 4C12.577.286.1EPYC 8324P - Zen 4C13.2106.5111.2EPYC 8324P - Zen 4C, 155W13.795.9110.1EPYC 7601 - Zen 165.2170.3175.8OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor50100150200250

OSPRay

Benchmark: particle_volume/ao/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: particle_volume/ao/real_timeEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 10.02860.05720.08580.11440.1430.1270.1050.0830.0910.031

OSPRay

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C14.2111.9133.3EPYC 8324PN - Zen 4C12.674.986.9EPYC 8324P - Zen 4C13.098.1122.1EPYC 8324P - Zen 4C, 155W13.787.1106.8EPYC 7601 - Zen 164.9158.4177.4OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor50100150200250

OSPRay

Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 10.0340.0680.1020.1360.170.1510.1190.1070.1130.026

OSPRay

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.8112.7134.3EPYC 8324PN - Zen 4C12.475.589.1EPYC 8324P - Zen 4C11.4106.4122.1EPYC 8324P - Zen 4C, 155W13.789.2107.3EPYC 7601 - Zen 165.1155.2177.3OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor50100150200250

OSPRay

Benchmark: gravity_spheres_volume/dim_512/scivis/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 10.02930.05860.08790.11720.14650.1300.1010.0830.0950.016

OSPRay

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.7112.5134.5EPYC 8324PN - Zen 4C13.175.389.0EPYC 8324P - Zen 4C13.5105.7121.6EPYC 8324P - Zen 4C, 155W13.788.9106.3EPYC 7601 - Zen 165.9154.5177.4OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor50100150200250

OSPRay

Benchmark: gravity_spheres_volume/dim_512/ao/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/ao/real_timeEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 10.03020.06040.09060.12080.1510.1340.1060.0860.0990.017

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.9115.1136.5EPYC 8324PN - Zen 4C12.980.890.5EPYC 8324P - Zen 4C13.2105.6124.0EPYC 8324P - Zen 4C, 155W13.794.1108.3EPYC 7601 - Zen 165.1167.1178.6OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor50100150200250

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C14.2101.8135.4EPYC 8324PN - Zen 4C12.876.291.4EPYC 8324P - Zen 4C11.196.9122.6EPYC 8324P - Zen 4C, 155W13.687.5106.3EPYC 7601 - Zen 165.3159.9178.7OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor50100150200250

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C12.7108.6136.1EPYC 8324PN - Zen 4C12.574.589.2EPYC 8324P - Zen 4C12.096.2122.4EPYC 8324P - Zen 4C, 155W13.786.0105.2EPYC 7601 - Zen 165.8144.5178.8OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor50100150200250

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.8111.9135.9EPYC 8324PN - Zen 4C12.279.790.8EPYC 8324P - Zen 4C12.5103.1127.2EPYC 8324P - Zen 4C, 155W13.792.5105.3EPYC 7601 - Zen 165.1165.8178.7OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor50100150200250

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.598.3134.6EPYC 8324PN - Zen 4C12.974.987.7EPYC 8324P - Zen 4C13.192.0126.7EPYC 8324P - Zen 4C, 155W13.785.9108.4EPYC 7601 - Zen 165.5157.3178.6OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor50100150200250

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.5106.9135.0EPYC 8324PN - Zen 4C12.773.988.3EPYC 8324P - Zen 4C13.194.5126.4EPYC 8324P - Zen 4C, 155W13.685.3105.7EPYC 7601 - Zen 165.3144.1178.5OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor50100150200250

Intel Open Image Denoise

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C12.9101.2124.6EPYC 8324PN - Zen 4C11.772.983.5EPYC 8324P - Zen 4C13.296.0121.1EPYC 8324P - Zen 4C, 155W13.785.6101.3EPYC 7601 - Zen 165.5165.0174.6OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 2.1CPU Power Consumption Monitor50100150200250

Intel Open Image Denoise

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

OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 2.1Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-OnlyEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 10.00380.00760.01140.01520.0190.0170.0130.0120.0120.003

Embree

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.772.7142.1EPYC 8324PN - Zen 4C12.978.196.0EPYC 8324P - Zen 4C12.5102.3133.5EPYC 8324P - Zen 4C, 155W13.791.8110.4EPYC 7601 - Zen 165.9165.2178.1OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.3CPU Power Consumption Monitor50100150200250

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 10.18270.36540.54810.73080.91350.8120.3980.3610.3730.112

Embree

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C14.499.5140.7EPYC 8324PN - Zen 4C12.875.995.2EPYC 8324P - Zen 4C12.7105.0134.4EPYC 8324P - Zen 4C, 155W14.086.6107.3EPYC 7601 - Zen 165.7162.4177.6OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.3CPU Power Consumption Monitor50100150200250

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 10.16940.33880.50820.67760.8470.7530.5220.4340.4980.135

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C14.0135.1140.8EPYC 8324PN - Zen 4C13.086.790.9EPYC 8324P - Zen 4C13.5115.4124.1EPYC 8324P - Zen 4C, 155W14.0103.8110.5EPYC 7601 - Zen 165.6175.3178.7OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption Monitor50100150200250

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C14.1127.8135.8EPYC 8324PN - Zen 4C12.985.489.4EPYC 8324P - Zen 4C12.7113.1126.5EPYC 8324P - Zen 4C, 155W13.9100.5107.9EPYC 7601 - Zen 165.4174.7178.7OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption Monitor50100150200250

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C14.4119.8137.2EPYC 8324PN - Zen 4C12.882.793.6EPYC 8324P - Zen 4C12.7108.0124.1EPYC 8324P - Zen 4C, 155W14.096.7106.3EPYC 7601 - Zen 165.7170.3178.6OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption Monitor50100150200250

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C14.2124.3133.0EPYC 8324PN - Zen 4C12.583.191.5EPYC 8324P - Zen 4C13.3109.7119.9EPYC 8324P - Zen 4C, 155W13.799.4106.9EPYC 7601 - Zen 165.7174.0178.2OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption Monitor50100150200250

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C14.5114.5132.8EPYC 8324PN - Zen 4C12.980.091.2EPYC 8324P - Zen 4C13.0104.0116.7EPYC 8324P - Zen 4C, 155W13.995.1107.1EPYC 7601 - Zen 165.7169.3178.5OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption Monitor50100150200250

ACES DGEMM

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C12.988.1130.7EPYC 8324PN - Zen 4C12.667.989.1EPYC 8324P - Zen 4C12.387.3115.0EPYC 8324P - Zen 4C, 155W13.581.5109.9EPYC 7601 - Zen 164.6154.9170.2OpenBenchmarking.orgWatts, Fewer Is BetterACES DGEMM 1.0CPU Power Consumption Monitor50100150200250

ACES DGEMM

Sustained Floating-Point Rate

OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 10.0540.1080.1620.2160.270.2400.1700.1330.1400.025

Y-Cruncher

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.488.5143.6EPYC 8324PN - Zen 4C12.269.498.8EPYC 8324P - Zen 4C12.985.6133.1EPYC 8324P - Zen 4C, 155W13.577.5114.5EPYC 7601 - Zen 165.7150.4179.3OpenBenchmarking.orgWatts, Fewer Is BetterY-Cruncher 0.8.3CPU Power Consumption Monitor50100150200250

Y-Cruncher

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.971.4138.3EPYC 8324PN - Zen 4C12.060.299.8EPYC 8324P - Zen 4C12.571.5129.1EPYC 8324P - Zen 4C, 155W13.666.7111.1EPYC 7601 - Zen 165.5138.2179.0OpenBenchmarking.orgWatts, Fewer Is BetterY-Cruncher 0.8.3CPU Power Consumption Monitor50100150200250

Quicksilver

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.7113.1116.6EPYC 8324PN - Zen 4C12.881.987.7EPYC 8324P - Zen 4C11.891.493.8EPYC 8324P - Zen 4C, 155W13.792.194.7EPYC 7601 - Zen 166.8156.9165.2OpenBenchmarking.orgWatts, Fewer Is BetterQuicksilver 20230818CPU Power Consumption Monitor50100150200250

Quicksilver

Input: CTS2

OpenBenchmarking.orgFigure Of Merit Per Watt, More Is BetterQuicksilver 20230818Input: CTS2EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 140K80K120K160K200K144074.42171302.45156624.76156169.0372917.48

Quicksilver

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C12.3108.9118.9EPYC 8324PN - Zen 4C12.574.988.5EPYC 8324P - Zen 4C13.290.697.7EPYC 8324P - Zen 4C, 155W14.091.098.6EPYC 7601 - Zen 165.4149.4162.5OpenBenchmarking.orgWatts, Fewer Is BetterQuicksilver 20230818CPU Power Consumption Monitor50100150200250

Quicksilver

Input: CORAL2 P1

OpenBenchmarking.orgFigure Of Merit Per Watt, More Is BetterQuicksilver 20230818Input: CORAL2 P1EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 150K100K150K200K250K195063.32243826.72208439.28208244.5987231.32

NAMD

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C14.7118.1142.8EPYC 8324PN - Zen 4C12.180.990.2EPYC 8324P - Zen 4C13.5106.4125.6EPYC 8324P - Zen 4C, 155W13.994.8107.7EPYC 7601 - Zen 165.7165.3178.5OpenBenchmarking.orgWatts, Fewer Is BetterNAMD 2.14CPU Power Consumption Monitor50100150200250

Xcompact3d Incompact3d

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption MonitorEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1306090120150Min: 14.11 / Avg: 126.57 / Max: 133.41Min: 12.94 / Avg: 93.37 / Max: 98.13Min: 12.9 / Avg: 104.53 / Max: 115.04Min: 13.85 / Avg: 102.88 / Max: 107.73Min: 65.72 / Avg: 150.35 / Max: 171.92

Xcompact3d Incompact3d

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.7109.4133.8EPYC 8324PN - Zen 4C13.184.899.1EPYC 8324P - Zen 4C13.392.5109.1EPYC 8324P - Zen 4C, 155W13.994.2111.7EPYC 7601 - Zen 165.4144.5159.8OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption Monitor50100150200250

Kripke

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C14.7115.8137.0EPYC 8324PN - Zen 4C13.084.1103.7EPYC 8324P - Zen 4C12.6104.7123.6EPYC 8324P - Zen 4C, 155W14.296.7118.5EPYC 7601 - Zen 166.0160.4176.7OpenBenchmarking.orgWatts, Fewer Is BetterKripke 1.2.6CPU Power Consumption Monitor50100150200250

Kripke

OpenBenchmarking.orgThroughput FoM Per Watt, More Is BetterKripke 1.2.6EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1600K1200K1800K2400K3000K2490692.282943707.262566916.472674408.731133698.87

CloverLeaf

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterCloverLeaf 1.3CPU Power Consumption MonitorEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1306090120150Min: 14.26 / Avg: 127.08 / Max: 131.51Min: 12.95 / Avg: 99.07 / Max: 101.75Min: 13.29 / Avg: 107.42 / Max: 111.27Min: 13.89 / Avg: 107.71 / Max: 111.6Min: 65.7 / Avg: 148.58 / Max: 160.53

CloverLeaf

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.5115.8126.2EPYC 8324PN - Zen 4C12.691.099.0EPYC 8324P - Zen 4C13.099.2108.3EPYC 8324P - Zen 4C, 155W13.798.3107.3EPYC 7601 - Zen 166.3146.4160.4OpenBenchmarking.orgWatts, Fewer Is BetterCloverLeaf 1.3CPU Power Consumption Monitor50100150200250

LAMMPS Molecular Dynamics Simulator

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C12.9128.0132.4EPYC 8324PN - Zen 4C13.081.784.7EPYC 8324P - Zen 4C13.5110.0122.8EPYC 8324P - Zen 4C, 155W13.996.5105.3EPYC 7601 - Zen 165.6172.4175.7OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022CPU Power Consumption Monitor50100150200250

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 10.04520.09040.13560.18080.2260.2010.1920.1670.1810.080

GPAW

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.0133.5153.7EPYC 8324PN - Zen 4C12.687.698.5EPYC 8324P - Zen 4C12.8119.9137.5EPYC 8324P - Zen 4C, 155W13.6103.8117.3EPYC 7601 - Zen 166.2166.8178.9OpenBenchmarking.orgWatts, Fewer Is BetterGPAW 23.6CPU Power Consumption Monitor50100150200250

easyWave

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.593.9103.6EPYC 8324PN - Zen 4C11.577.983.9EPYC 8324P - Zen 4C12.783.490.7EPYC 8324P - Zen 4C, 155W13.683.390.6EPYC 7601 - Zen 164.0131.6149.1OpenBenchmarking.orgWatts, Fewer Is BettereasyWave r34CPU Power Consumption Monitor4080120160200

easyWave

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.385.8104.1EPYC 8324PN - Zen 4C12.473.083.8EPYC 8324P - Zen 4C12.179.390.5EPYC 8324P - Zen 4C, 155W13.778.790.5EPYC 7601 - Zen 165.8131.1148.5OpenBenchmarking.orgWatts, Fewer Is BettereasyWave r34CPU Power Consumption Monitor4080120160200

miniBUDE

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C12.8120.5131.6EPYC 8324PN - Zen 4C12.179.288.9EPYC 8324P - Zen 4C12.4107.5121.8EPYC 8324P - Zen 4C, 155W13.894.1106.1EPYC 7601 - Zen 165.5169.5175.3OpenBenchmarking.orgWatts, Fewer Is BetterminiBUDE 20210901CPU Power Consumption Monitor50100150200250

miniBUDE

Implementation: OpenMP - Input Deck: BM2

OpenBenchmarking.orgBillion Interactions/s Per Watt, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 10.18590.37180.55770.74360.92950.8260.6450.5700.6060.084

miniBUDE

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C14.491.7132.3EPYC 8324PN - Zen 4C13.168.588.4EPYC 8324P - Zen 4C12.789.5122.9EPYC 8324P - Zen 4C, 155W14.179.5107.9EPYC 7601 - Zen 166.1164.9176.2OpenBenchmarking.orgWatts, Fewer Is BetterminiBUDE 20210901CPU Power Consumption Monitor50100150200250

miniBUDE

Implementation: OpenMP - Input Deck: BM1

OpenBenchmarking.orgBillion Interactions/s Per Watt, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 10.24460.48920.73380.97841.2231.0870.7460.6840.7180.087

OpenRadioss

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C14.9125.7137.9EPYC 8324PN - Zen 4C12.993.399.2EPYC 8324P - Zen 4C13.0109.6120.3EPYC 8324P - Zen 4C, 155W13.9107.2114.8EPYC 7601 - Zen 165.7156.7172.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15CPU Power Consumption Monitor50100150200250

OpenFOAM

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.8134.2139.0EPYC 8324PN - Zen 4C12.296.6101.2EPYC 8324P - Zen 4C13.2117.5128.6EPYC 8324P - Zen 4C, 155W13.6107.9112.7EPYC 7601 - Zen 165.0159.9174.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10CPU Power Consumption Monitor50100150200250

OpenFOAM

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.495.5133.8EPYC 8324PN - Zen 4C12.181.888.1EPYC 8324P - Zen 4C13.1115.1127.9EPYC 8324P - Zen 4C, 155W13.797.0104.6EPYC 7601 - Zen 164.4164.4173.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10CPU Power Consumption Monitor50100150200250

QuantLib

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C12.5121.6136.3EPYC 8324PN - Zen 4C12.579.695.3EPYC 8324P - Zen 4C12.8104.4122.9EPYC 8324P - Zen 4C, 155W13.393.7108.8EPYC 7601 - Zen 164.3167.9179.0OpenBenchmarking.orgWatts, Fewer Is BetterQuantLib 1.32CPU Power Consumption Monitor50100150200250

QuantLib

Configuration: Multi-Threaded

OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1300600900120015001273.591007.58945.62967.97384.04

Timed FFmpeg Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.076.2137.8EPYC 8324PN - Zen 4C12.565.194.8EPYC 8324P - Zen 4C12.876.7126.7EPYC 8324P - Zen 4C, 155W13.372.3109.6EPYC 7601 - Zen 163.7132.0179.3OpenBenchmarking.orgWatts, Fewer Is BetterTimed FFmpeg Compilation 6.1CPU Power Consumption Monitor50100150200250

Timed Gem5 Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.180.4136.2EPYC 8324PN - Zen 4C12.868.489.8EPYC 8324P - Zen 4C11.281.5124.9EPYC 8324P - Zen 4C, 155W13.676.8105.3EPYC 7601 - Zen 136.0132.1179.2OpenBenchmarking.orgWatts, Fewer Is BetterTimed Gem5 Compilation 23.0.1CPU Power Consumption Monitor50100150200250

Timed Node.js Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.5105.1142.2EPYC 8324PN - Zen 4C11.878.797.6EPYC 8324P - Zen 4C12.4100.3130.4EPYC 8324P - Zen 4C, 155W13.590.5113.3EPYC 7601 - Zen 164.0156.0178.9OpenBenchmarking.orgWatts, Fewer Is BetterTimed Node.js Compilation 19.8.1CPU Power Consumption Monitor50100150200250

Timed LLVM Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.595.2143.0EPYC 8324PN - Zen 4C12.774.893.4EPYC 8324P - Zen 4C13.093.0129.4EPYC 8324P - Zen 4C, 155W13.685.3110.0EPYC 7601 - Zen 163.2148.4179.0OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 16.0CPU Power Consumption Monitor50100150200250

Timed LLVM Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C14.0111.7145.3EPYC 8324PN - Zen 4C12.780.993.6EPYC 8324P - Zen 4C13.3104.4129.2EPYC 8324P - Zen 4C, 155W13.793.7109.1EPYC 7601 - Zen 163.9161.3179.0OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 16.0CPU Power Consumption Monitor50100150200250

Timed Linux Kernel Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.1123.1141.4EPYC 8324PN - Zen 4C12.484.892.0EPYC 8324P - Zen 4C13.0110.3125.9EPYC 8324P - Zen 4C, 155W13.498.2106.7EPYC 7601 - Zen 163.3169.3179.5OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 6.1CPU Power Consumption Monitor50100150200250

Timed Linux Kernel Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.580.7135.1EPYC 8324PN - Zen 4C12.666.390.0EPYC 8324P - Zen 4C13.078.5123.4EPYC 8324P - Zen 4C, 155W13.574.0109.8EPYC 7601 - Zen 163.8131.7179.3OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 6.1CPU Power Consumption Monitor50100150200250

7-Zip Compression

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.2110.8145.7EPYC 8324PN - Zen 4C12.373.490.8EPYC 8324P - Zen 4C12.898.2130.5EPYC 8324P - Zen 4C, 155W13.685.7113.3EPYC 7601 - Zen 165.9157.8178.5OpenBenchmarking.orgWatts, Fewer Is Better7-Zip Compression 22.01CPU Power Consumption Monitor50100150200250

7-Zip Compression

Test: Decompression Rating

OpenBenchmarking.orgMIPS Per Watt, More Is Better7-Zip Compression 22.01Test: Decompression RatingEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 170014002100280035003105.302439.422150.102334.06846.16

Redis 7.0.12 + memtier_benchmark

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C12.391.0105.2EPYC 8324PN - Zen 4C12.362.675.6EPYC 8324P - Zen 4C12.086.799.3EPYC 8324P - Zen 4C, 155W13.475.293.2EPYC 7601 - Zen 166.5162.2178.4OpenBenchmarking.orgWatts, Fewer Is BetterRedis 7.0.12 + memtier_benchmark 2.0CPU Power Consumption Monitor50100150200250

Redis 7.0.12 + memtier_benchmark

Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5

OpenBenchmarking.orgOps/sec Per Watt, More Is BetterRedis 7.0.12 + memtier_benchmark 2.0Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 19K18K27K36K45K27624.5339908.9132252.2836173.127148.89

Redis 7.0.12 + memtier_benchmark

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.591.0106.9EPYC 8324PN - Zen 4C11.361.876.7EPYC 8324P - Zen 4C11.287.099.1EPYC 8324P - Zen 4C, 155W13.675.393.2EPYC 7601 - Zen 164.4160.8178.4OpenBenchmarking.orgWatts, Fewer Is BetterRedis 7.0.12 + memtier_benchmark 2.0CPU Power Consumption Monitor50100150200250

Redis 7.0.12 + memtier_benchmark

Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10

OpenBenchmarking.orgOps/sec Per Watt, More Is BetterRedis 7.0.12 + memtier_benchmark 2.0Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 19K18K27K36K45K28227.2541473.4632673.7937066.257946.04

RocksDB

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.7117.3138.2EPYC 8324PN - Zen 4C12.180.093.0EPYC 8324P - Zen 4C13.2113.4129.0EPYC 8324P - Zen 4C, 155W13.598.8110.3EPYC 7601 - Zen 165.8169.4177.9OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 8.0CPU Power Consumption Monitor50100150200250

RocksDB

Test: Read While Writing

OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 8.0Test: Read While WritingEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 112K24K36K48K60K57031.6451316.2938762.7243556.2620446.35

RocksDB

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C12.8111.6129.8EPYC 8324PN - Zen 4C12.775.380.3EPYC 8324P - Zen 4C12.6100.2110.8EPYC 8324P - Zen 4C, 155W13.689.496.6EPYC 7601 - Zen 166.2169.4178.6OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 8.0CPU Power Consumption Monitor50100150200250

RocksDB

Test: Random Read

OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 8.0Test: Random ReadEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1500K1000K1500K2000K2500K2230797.091742913.891613507.121652219.58499648.82

Speedb

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.190.3116.2EPYC 8324PN - Zen 4C12.969.179.1EPYC 8324P - Zen 4C12.278.388.2EPYC 8324P - Zen 4C, 155W13.678.588.0EPYC 7601 - Zen 165.1124.2142.7OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor4080120160200

Speedb

Test: Update Random

OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Update RandomEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 190018002700360045003874.594423.424050.084047.081640.50

Speedb

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C14.1112.0127.0EPYC 8324PN - Zen 4C12.276.890.2EPYC 8324P - Zen 4C13.1106.9119.8EPYC 8324P - Zen 4C, 155W13.795.5110.7EPYC 7601 - Zen 165.3158.7177.5OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor50100150200250

Speedb

Test: Read Random Write Random

OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Read Random Write RandomEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 16K12K18K24K30K20292.3625808.6820899.6322326.899121.91

Speedb

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C12.6116.0134.1EPYC 8324PN - Zen 4C12.878.591.1EPYC 8324P - Zen 4C11.8112.2124.5EPYC 8324P - Zen 4C, 155W13.696.5108.8EPYC 7601 - Zen 165.3168.7178.1OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor50100150200250

Speedb

Test: Read While Writing

OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Read While WritingEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 120K40K60K80K100K108503.0288296.4564987.0774216.6535300.60

Speedb

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.198.2128.2EPYC 8324PN - Zen 4C12.875.686.1EPYC 8324P - Zen 4C13.1100.8111.0EPYC 8324P - Zen 4C, 155W13.789.297.6EPYC 7601 - Zen 165.6170.0178.3OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor50100150200250

Speedb

Test: Random Read

OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Random ReadEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1500K1000K1500K2000K2500K2534080.331749308.711624547.011658329.33505924.53

Apache Cassandra

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C12.598.2123.2EPYC 8324PN - Zen 4C11.875.087.7EPYC 8324P - Zen 4C12.791.1108.3EPYC 8324P - Zen 4C, 155W13.491.5104.6EPYC 7601 - Zen 163.3153.7181.9OpenBenchmarking.orgWatts, Fewer Is BetterApache Cassandra 4.1.3CPU Power Consumption Monitor50100150200250

Apache Cassandra

Test: Writes

OpenBenchmarking.orgOp/s Per Watt, More Is BetterApache Cassandra 4.1.3Test: WritesEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 160012001800240030002486.662829.252451.592447.90977.63

DuckDB

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C12.952.989.1EPYC 8324PN - Zen 4C12.149.774.3EPYC 8324P - Zen 4C12.251.187.6EPYC 8324P - Zen 4C, 155W13.151.085.1EPYC 7601 - Zen 164.179.1142.3OpenBenchmarking.orgWatts, Fewer Is BetterDuckDB 0.9.1CPU Power Consumption Monitor4080120160200

DuckDB

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.166.695.3EPYC 8324PN - Zen 4C12.661.685.7EPYC 8324P - Zen 4C12.866.496.5EPYC 8324P - Zen 4C, 155W13.465.291.1EPYC 7601 - Zen 162.299.7146.8OpenBenchmarking.orgWatts, Fewer Is BetterDuckDB 0.9.1CPU Power Consumption Monitor4080120160200

Apache IoTDB

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C12.755.7128.6EPYC 8324PN - Zen 4C12.549.199.2EPYC 8324P - Zen 4C12.654.7118.9EPYC 8324P - Zen 4C, 155W13.155.6125.1EPYC 7601 - Zen 162.6113.6173.4OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor50100150200250

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C14.2135.1142.3EPYC 8324PN - Zen 4C12.785.695.5EPYC 8324P - Zen 4C13.3119.4130.2EPYC 8324P - Zen 4C, 155W13.9105.2110.7EPYC 7601 - Zen 165.9171.0177.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor50100150200250

OpenSSL

Algorithm: ChaCha20-Poly1305

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: ChaCha20-Poly1305EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1300M600M900M1200M1500M1450412054.661181271903.83947613075.921067969605.53177417166.50

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C14.3135.9143.4EPYC 8324PN - Zen 4C12.587.190.7EPYC 8324P - Zen 4C13.3116.3131.9EPYC 8324P - Zen 4C, 155W13.7108.1113.9EPYC 7601 - Zen 165.3171.0177.6OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor50100150200250

OpenSSL

Algorithm: ChaCha20

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: ChaCha20EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1400M800M1200M1600M2000M2095501066.501694474523.221370606684.981474962096.07280245644.36

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C14.4135.9141.5EPYC 8324PN - Zen 4C13.085.293.8EPYC 8324P - Zen 4C13.3117.4132.0EPYC 8324P - Zen 4C, 155W13.7101.3115.1EPYC 7601 - Zen 165.3174.3178.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor50100150200250

OpenSSL

Algorithm: AES-256-GCM

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: AES-256-GCMEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1700M1400M2100M2800M3500M3123938397.232539685896.322258891761.222396310835.77516298912.20

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C14.3136.1141.2EPYC 8324PN - Zen 4C12.985.994.2EPYC 8324P - Zen 4C13.3118.0131.8EPYC 8324P - Zen 4C, 155W13.6102.5112.1EPYC 7601 - Zen 165.9174.6178.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor50100150200250

OpenSSL

Algorithm: AES-128-GCM

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: AES-128-GCMEPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1800M1600M2400M3200M4000M3626240465.702927424070.202612982097.092743728420.23559684188.57

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C14.3129.5138.1EPYC 8324PN - Zen 4C13.081.988.0EPYC 8324P - Zen 4C12.8112.5125.9EPYC 8324P - Zen 4C, 155W13.698.3106.9EPYC 7601 - Zen 165.5174.7178.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor50100150200250

OpenSSL

Algorithm: SHA512

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: SHA512EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 140M80M120M160M200M175273393.29142108901.03122734575.99132126423.4047835855.20

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.1128.0136.2EPYC 8324PN - Zen 4C12.882.190.4EPYC 8324P - Zen 4C13.0111.2118.1EPYC 8324P - Zen 4C, 155W13.596.4102.1EPYC 7601 - Zen 165.3173.8178.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor50100150200250

OpenSSL

Algorithm: SHA256

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: SHA256EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1120M240M360M480M600M546243197.78436238930.85387067179.89416875314.97155415474.32

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C14.6116.5129.4EPYC 8324PN - Zen 4C12.276.583.6EPYC 8324P - Zen 4C13.4102.2116.0EPYC 8324P - Zen 4C, 155W13.790.1102.2EPYC 7601 - Zen 165.7170.0178.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor50100150200250

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgverify/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: RSA4096EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 1150030004500600075007110.605622.234477.075076.371719.96

nginx

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C13.4130.0141.7EPYC 8324PN - Zen 4C12.883.792.6EPYC 8324P - Zen 4C12.3122.1134.6EPYC 8324P - Zen 4C, 155W13.599.1113.1EPYC 7601 - Zen 163.9168.4177.8OpenBenchmarking.orgWatts, Fewer Is Betternginx 1.23.2CPU Power Consumption Monitor50100150200250

nginx

Connections: 1000

OpenBenchmarking.orgRequests Per Second Per Watt, More Is Betternginx 1.23.2Connections: 1000EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 14008001200160020001785.711663.271365.651532.61540.03

nginx

CPU Power Consumption Monitor

MinAvgMaxEPYC 8534PN - Zen 4C12.6127.2140.0EPYC 8324PN - Zen 4C11.782.591.8EPYC 8324P - Zen 4C11.6121.1132.4EPYC 8324P - Zen 4C, 155W12.997.3110.2EPYC 7601 - Zen 160.9169.1178.8OpenBenchmarking.orgWatts, Fewer Is Betternginx 1.23.2CPU Power Consumption Monitor50100150200250

nginx

Connections: 500

OpenBenchmarking.orgRequests Per Second Per Watt, More Is Betternginx 1.23.2Connections: 500EPYC 8534PN - Zen 4CEPYC 8324PN - Zen 4CEPYC 8324P - Zen 4CEPYC 8324P - Zen 4C, 155WEPYC 7601 - Zen 14008001200160020001802.111656.121355.861536.38561.58


Phoronix Test Suite v10.8.5