AMD EPYC Zen

Benchmarks for a future article. AMD EPYC 8534PN 64-Core testing with a AMD Cinnabar (RCB1009C BIOS) and ASPEED on Ubuntu 23.10 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2401092-NE-AMDEPYCZE04&gru&rdt.

AMD EPYC ZenProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionZen 1 - EPYC 7601Zen 4C - EPYC 8534PNAMD EPYC 7601 32-Core @ 2.20GHz (32 Cores / 64 Threads)TYAN B8026T70AE24HR (V1.02.B10 BIOS)AMD 17h128GB280GB INTEL SSDPE21D280GA + 1000GB INTEL SSDPE2KX010T8llvmpipeVE2282 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 13.2.0ext41920x1080AMD 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 SSDPE2KX010T8ASPEED1920x1200OpenBenchmarking.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- Zen 1 - EPYC 7601: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x800126e- Zen 4C - EPYC 8534PN: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xaa00212Java Details- OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu123.10)Python Details- Python 3.11.6Security Details- Zen 1 - EPYC 7601: 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 - Zen 4C - EPYC 8534PN: 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

AMD EPYC Zenpytorch: CPU - 1 - ResNet-50pytorch: CPU - 256 - ResNet-50minibude: OpenMP - BM1minibude: OpenMP - BM2openssl: SHA256openssl: AES-128-GCMopenssl: SHA512openssl: AES-256-GCMopenssl: ChaCha20openssl: ChaCha20-Poly1305quicksilver: CORAL2 P1quicksilver: CORAL2 P2quicksilver: CTS2ffmpeg: libx265 - Liveffmpeg: libx265 - Platformffmpeg: libx265 - Uploadffmpeg: libx265 - Video On Demandopenvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Person Detection FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Crownsvt-av1: Preset 13 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 4 - Bosphorus 4Kuvg266: Bosphorus 4K - Very Fastuvg266: Bosphorus 4K - Ultra Fastvvenc: Bosphorus 4K - Fasterrav1e: 10rav1e: 6uvg266: Bosphorus 4K - Mediumuvg266: Bosphorus 4K - Super Fastrav1e: 5rav1e: 1x265: Bosphorus 4Kvvenc: Bosphorus 4K - Fastminibude: OpenMP - BM1minibude: OpenMP - BM2mt-dgemm: Sustained Floating-Point Ratexmrig: Wownero - 1Mxmrig: CryptoNight-Femto UPX2 - 1Mxmrig: CryptoNight-Heavy - 1Mxmrig: KawPow - 1Mxmrig: GhostRider - 1Mxmrig: Monero - 1Moidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlytensorflow: CPU - 16 - ResNet-50ospray: gravity_spheres_volume/dim_512/ao/real_timeospray: gravity_spheres_volume/dim_512/scivis/real_timeospray: gravity_spheres_volume/dim_512/pathtracer/real_timeospray: particle_volume/ao/real_timeospray: particle_volume/scivis/real_timeospray: particle_volume/pathtracer/real_timedeepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: ResNet-50, Baseline - Asynchronous Multi-Streamdeepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Streamindigobench: CPU - Supercarindigobench: CPU - Bedroomquantlib: Multi-Threadedcompress-7zip: Compression Ratingcompress-7zip: Decompression Ratinggromacs: MPI CPU - water_GMX50_barelammps: 20k Atomscassandra: Writesspeedb: Rand Readspeedb: Read While Writingspeedb: Read Rand Write Randspeedb: Update Randrocksdb: Rand Readrocksdb: Read While Writingrocksdb: Read Rand Write Randrocksdb: Update Randmemtier-benchmark: Redis - 100 - 1:10memtier-benchmark: Redis - 100 - 1:5apache-iotdb: 500 - 100 - 200 - 100apache-iotdb: 500 - 100 - 200 - 400apache-iotdb: 500 - 100 - 500 - 100apache-iotdb: 500 - 100 - 500 - 400apache-iotdb: 500 - 100 - 800 - 100apache-iotdb: 500 - 100 - 800 - 400apache-iotdb: 800 - 100 - 200 - 100apache-iotdb: 800 - 100 - 200 - 400apache-iotdb: 800 - 100 - 500 - 100apache-iotdb: 800 - 100 - 500 - 400apache-iotdb: 800 - 100 - 800 - 100apache-iotdb: 800 - 100 - 800 - 400nginx: 500nginx: 1000apache: 1000openssl: RSA4096kripke: openssl: RSA4096v-ray: CPUapache-iotdb: 500 - 100 - 200 - 100apache-iotdb: 500 - 100 - 200 - 400apache-iotdb: 500 - 100 - 500 - 100apache-iotdb: 500 - 100 - 500 - 400apache-iotdb: 500 - 100 - 800 - 100apache-iotdb: 500 - 100 - 800 - 400apache-iotdb: 800 - 100 - 200 - 100apache-iotdb: 800 - 100 - 200 - 400apache-iotdb: 800 - 100 - 500 - 100apache-iotdb: 800 - 100 - 500 - 400apache-iotdb: 800 - 100 - 800 - 100apache-iotdb: 800 - 100 - 800 - 400namd: ATPase Simulation - 327,506 Atomsospray-studio: 1 - 4K - 1 - Path Tracer - CPUospray-studio: 1 - 4K - 16 - Path Tracer - CPUospray-studio: 1 - 4K - 32 - Path Tracer - CPUospray-studio: 3 - 4K - 1 - Path Tracer - CPUospray-studio: 3 - 4K - 16 - Path Tracer - CPUospray-studio: 3 - 4K - 32 - Path Tracer - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Person Detection FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUdeepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: ResNet-50, Baseline - Asynchronous Multi-Streamdeepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Streamduckdb: IMDBduckdb: TPC-H Parquetbuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigbuild-llvm: Ninjabuild-llvm: Unix Makefilesbuild-nodejs: Time To Compilebuild-gem5: Time To Compilebuild-ffmpeg: Time To Compilespecfem3d: Layered Halfspacespecfem3d: Water-layered Halfspacespecfem3d: Homogeneous Halfspacespecfem3d: Mount St. Helensspecfem3d: Tomographic Modelopenfoam: drivaerFastback, Small Mesh Size - Mesh Timeopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timeopenfoam: drivaerFastback, Medium Mesh Size - Execution Timeopenradioss: Chrysler Neon 1Measywave: e2Asean Grid + BengkuluSept2007 Source - 1200easywave: e2Asean Grid + BengkuluSept2007 Source - 2400gpaw: Carbon Nanotubecloverleaf: clover_bm64_shortcloverleaf: clover_bm16incompact3d: input.i3d 193 Cells Per Directionincompact3d: X3D-benchmarking input.i3dy-cruncher: 500My-cruncher: 1Bmrbayes: Primate Phylogeny Analysisblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyblender: Barbershop - CPU-OnlyZen 1 - EPYC 7601Zen 4C - EPYC 8534PN26.7221.2114.24514.2202705683040097645009487831618417089948428697479200259673031549069012996667150133331142666758.2321.0310.3921.043.8213011.1043.91377.40295.80471.3841.32877.49189.05149.4921.831518.361367.93470.52526.2523.06022.2727.216.4936.9712.9378.7323.442.2490.56314.523.291356.122355.5013.79079910414.76957.27081.06937.91070.17044.20.489.822.578292.466924.148415.289315.2211698.4413260.249690.6624144.682910.754570.339570.558610.80709.2992142.7964155.701913.2597131.76058.5803.99164481.71239341344171.99213.872152887868670416145679143607420155584798204337187615091842906181183656.971142464.16387122633817645653759940528491255877409059444334460495894592107456993811570374415840375660237625103269.83100664.3588038.284510.7187375933293924.12017546.29166.0085.07294.75127.26421.3039.40147.8982.07318.24129.77488.640.979598478145528280606100501711883316432094.212.43181.9284.6827.0116.95193.339.1169.0453.4761.3934176.4317110.44841457.9155226.9518226.37441460.70411701.3747111.8988102.65821200.1003121.2093199.014245.74276.300755.017435.054529.717387.652388.02339.78978.67990438474.95062589638.06317925029.95188620330.28359304044.44531126.1908231.744461179.2541499.30148.077352.687142.165108.60971.5037.4064191818.05411815.69333.923201.18273.00192.80101.20247.24767.1545.1336.56116.866117.5747985740178352817889735326271960547460814853190297915350493208877254247213266671617666716316667114.9546.9623.1846.9853.5174625.61218.075276.112902.572602.27309.828840.411229.16977.0783.197567.9033196.423194.54767.2096.67252.5955.9811.56412.3554.86119.8755.013.5810.85327.546.2802921.6532939.35622.95331539663.320699.520541.820720.84376.020716.51.8450.2717.298616.808919.643417.099317.0484166.1521444.9067322.2813484.732636.7555219.9119221.301836.920664.0361484.86973821.924146.8734696.514624.52211.172171336.635809340602131.007251434304542944129475072577564356602302674440691826726542864833873084431.372901182.2351396698503968848653027286278348104173220103397638679372266771294499531709918697807303128870984166263177.49266322.55130116.6825217.0303107200889214.26091135.58133.0152.95191.7771.67254.3127.16106.9147.19195.49101.60394.510.391751856360856572521964127876785595.920.60146.5311.9710.9012.21103.127.1051.9632.6722.117999.106665.9305855.7340145.1134144.1447855.9304495.144265.91398.3560674.260845.8818125.100178.43541.709307.653173.868261.161160.725217.12618.06130.95124754.559168159.57429679.78992297.7238.884109.84763.04557.38497.0920.8747749562.3598845.09910.233126.96927.0767.9135.3786.57240.35OpenBenchmarking.org

CPU Power Consumption Monitor

Phoronix Test Suite System Monitoring

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringZen 1 - EPYC 7601Zen 4C - EPYC 8534PN140280420560700Min: 134.19 / Avg: 579.81 / Max: 789.58Min: 7.2 / Avg: 112.32 / Max: 180

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-50Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.15460.30920.46380.61840.7730.0430.687

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-50Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.0880.1760.2640.3520.440.0320.391

PyTorch

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

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-50Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN1020304050SE +/- 0.12, N = 3SE +/- 0.15, N = 326.7245.13MIN: 15.15 / MAX: 28.15MIN: 43.52 / MAX: 46.26

PyTorch

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

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 256 - Model: ResNet-50Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN816243240SE +/- 0.22, N = 3SE +/- 0.11, N = 321.2136.56MIN: 13.9 / MAX: 22.04MIN: 35.25 / MAX: 37.29

miniBUDE

Implementation: OpenMP - Input Deck: BM1

OpenBenchmarking.orgBillion Interactions/s Per Watt, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.23290.46580.69870.93161.16450.0221.035

miniBUDE

Implementation: OpenMP - Input Deck: BM2

OpenBenchmarking.orgBillion Interactions/s Per Watt, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.16670.33340.50010.66680.83350.0210.741

miniBUDE

Implementation: OpenMP - Input Deck: BM1

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN306090120150SE +/- 0.04, N = 3SE +/- 0.23, N = 614.25116.871. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

miniBUDE

Implementation: OpenMP - Input Deck: BM2

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN306090120150SE +/- 0.01, N = 3SE +/- 0.10, N = 314.22117.571. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

OpenSSL

Algorithm: SHA256

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: SHA256Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN100M200M300M400M500M38850033.87476985790.76

OpenSSL

Algorithm: SHA512

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: SHA512Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN30M60M90M120M150M11909195.29154779847.68

OpenSSL

Algorithm: SHA256

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA256Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN20000M40000M60000M80000M100000MSE +/- 48383276.04, N = 3SE +/- 59376757.34, N = 327056830400798574017831. (CC) gcc options: -pthread -m64 -O3 -ldl

OpenSSL

Algorithm: AES-128-GCM

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: AES-128-GCMZen 1 - EPYC 7601Zen 4C - EPYC 8534PN700M1400M2100M2800M3500M139836719.653235378886.06

OpenSSL

Algorithm: AES-256-GCM

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: AES-256-GCMZen 1 - EPYC 7601Zen 4C - EPYC 8534PN600M1200M1800M2400M3000M128846358.682821056038.23

OpenSSL

Algorithm: ChaCha20

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: ChaCha20Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN400M800M1200M1600M2000M69962511.271780848824.50

OpenSSL

Algorithm: AES-128-GCM

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-128-GCMZen 1 - EPYC 7601Zen 4C - EPYC 8534PN110000M220000M330000M440000M550000MSE +/- 101833027.65, N = 3SE +/- 261674063.26, N = 3976450094875281788973531. (CC) gcc options: -pthread -m64 -O3 -ldl

OpenSSL

Algorithm: ChaCha20-Poly1305

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: ChaCha20-Poly1305Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN300M600M900M1200M1500M44247682.051253276194.47

OpenSSL

Algorithm: SHA512

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA512Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN6000M12000M18000M24000M30000MSE +/- 6971539.66, N = 3SE +/- 5378103.90, N = 38316184170262719605471. (CC) gcc options: -pthread -m64 -O3 -ldl

OpenSSL

Algorithm: AES-256-GCM

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-256-GCMZen 1 - EPYC 7601Zen 4C - EPYC 8534PN100000M200000M300000M400000M500000MSE +/- 95870018.66, N = 3SE +/- 158535708.73, N = 3899484286974608148531901. (CC) gcc options: -pthread -m64 -O3 -ldl

OpenSSL

Algorithm: ChaCha20

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN60000M120000M180000M240000M300000MSE +/- 23640894.78, N = 3SE +/- 69144081.68, N = 3479200259672979153504931. (CC) gcc options: -pthread -m64 -O3 -ldl

OpenSSL

Algorithm: ChaCha20-Poly1305

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20-Poly1305Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN40000M80000M120000M160000M200000MSE +/- 12075597.72, N = 3SE +/- 493572176.62, N = 3303154906902088772542471. (CC) gcc options: -pthread -m64 -O3 -ldl

Quicksilver

Input: CORAL2 P1

OpenBenchmarking.orgFigure Of Merit, More Is BetterQuicksilver 20230818Input: CORAL2 P1Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN5M10M15M20M25MSE +/- 66916.20, N = 3SE +/- 46666.67, N = 312996667213266671. (CXX) g++ options: -fopenmp -O3 -march=native

Quicksilver

Input: CORAL2 P2

OpenBenchmarking.orgFigure Of Merit, More Is BetterQuicksilver 20230818Input: CORAL2 P2Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN3M6M9M12M15MSE +/- 37118.43, N = 3SE +/- 14529.66, N = 315013333161766671. (CXX) g++ options: -fopenmp -O3 -march=native

Quicksilver

Input: CORAL2 P1

OpenBenchmarking.orgFigure Of Merit Per Watt, More Is BetterQuicksilver 20230818Input: CORAL2 P1Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN40K80K120K160K200K22248.55201814.40

Quicksilver

Input: CORAL2 P2

OpenBenchmarking.orgFigure Of Merit Per Watt, More Is BetterQuicksilver 20230818Input: CORAL2 P2Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN40K80K120K160K200K27116.87175615.65

Quicksilver

Input: CTS2

OpenBenchmarking.orgFigure Of Merit Per Watt, More Is BetterQuicksilver 20230818Input: CTS2Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN30K60K90K120K150K18307.66143547.53

Quicksilver

Input: CTS2

OpenBenchmarking.orgFigure Of Merit, More Is BetterQuicksilver 20230818Input: CTS2Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN3M6M9M12M15MSE +/- 16666.67, N = 3SE +/- 6666.67, N = 311426667163166671. (CXX) g++ options: -fopenmp -O3 -march=native

FFmpeg

Encoder: libx265 - Scenario: Live

OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: LiveZen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.44930.89861.34791.79722.24650.1741.997

FFmpeg

Encoder: libx265 - Scenario: Live

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: LiveZen 1 - EPYC 7601Zen 4C - EPYC 8534PN306090120150SE +/- 0.07, N = 3SE +/- 0.14, N = 358.23114.951. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

FFmpeg

Encoder: libx265 - Scenario: Platform

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: PlatformZen 1 - EPYC 7601Zen 4C - EPYC 8534PN1122334455SE +/- 0.02, N = 3SE +/- 0.04, N = 321.0346.961. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

FFmpeg

Encoder: libx265 - Scenario: Upload

OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: UploadZen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.09020.18040.27060.36080.4510.0310.401

FFmpeg

Encoder: libx265 - Scenario: Platform

OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: PlatformZen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.17190.34380.51570.68760.85950.0600.764

FFmpeg

Encoder: libx265 - Scenario: Upload

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: UploadZen 1 - EPYC 7601Zen 4C - EPYC 8534PN612182430SE +/- 0.00, N = 3SE +/- 0.02, N = 310.3923.181. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

FFmpeg

Encoder: libx265 - Scenario: Video On Demand

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: Video On DemandZen 1 - EPYC 7601Zen 4C - EPYC 8534PN1122334455SE +/- 0.00, N = 3SE +/- 0.01, N = 321.0446.981. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection FP16-INT8 - Device: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN1224364860SE +/- 0.00, N = 3SE +/- 0.20, N = 33.8253.511. (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: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN16K32K48K64K80KSE +/- 3.60, N = 3SE +/- 275.21, N = 313011.1074625.611. (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: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN50100150200250SE +/- 0.09, N = 3SE +/- 0.21, N = 343.91218.071. (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: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN11002200330044005500SE +/- 0.02, N = 3SE +/- 6.62, N = 3377.405276.111. (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: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN6001200180024003000SE +/- 0.35, N = 3SE +/- 5.14, N = 3295.802902.571. (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: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN6001200180024003000SE +/- 1.63, N = 3SE +/- 1.69, N = 3471.382602.271. (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: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN70140210280350SE +/- 0.10, N = 3SE +/- 0.68, N = 341.32309.821. (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: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN2K4K6K8K10KSE +/- 0.26, N = 3SE +/- 14.71, N = 3877.498840.411. (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: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN30060090012001500SE +/- 0.70, N = 3SE +/- 0.72, N = 3189.051229.161. (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: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN2004006008001000SE +/- 0.14, N = 3SE +/- 2.89, N = 3149.49977.071. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

FFmpeg

Encoder: libx265 - Scenario: Video On Demand

OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: Video On DemandZen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.17190.34380.51570.68760.85950.0600.764

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonZen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.15230.30460.45690.60920.76150.0340.677

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonZen 1 - EPYC 7601Zen 4C - EPYC 8534PN20406080100SE +/- 0.05, N = 3SE +/- 0.04, N = 521.8383.20MIN: 21.6 / MAX: 22.16MIN: 82.46 / MAX: 84.5

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownZen 1 - EPYC 7601Zen 4C - EPYC 8534PN1530456075SE +/- 0.09, N = 3SE +/- 0.09, N = 518.3667.90MIN: 18.01 / MAX: 18.84MIN: 66.05 / MAX: 70.27

SVT-AV1

Encoder Mode: Preset 13 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 13 - Input: Bosphorus 4KZen 1 - EPYC 7601Zen 4C - EPYC 8534PN4080120160200SE +/- 2.72, N = 12SE +/- 1.62, N = 967.93196.421. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-AV1

Encoder Mode: Preset 12 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 12 - Input: Bosphorus 4KZen 1 - EPYC 7601Zen 4C - EPYC 8534PN4080120160200SE +/- 0.80, N = 15SE +/- 1.97, N = 670.53194.551. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 8 - Input: Bosphorus 4KZen 1 - EPYC 7601Zen 4C - EPYC 8534PN1530456075SE +/- 0.17, N = 3SE +/- 0.10, N = 426.2567.211. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-AV1

Encoder Mode: Preset 4 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 4 - Input: Bosphorus 4KZen 1 - EPYC 7601Zen 4C - EPYC 8534PN246810SE +/- 0.011, N = 3SE +/- 0.041, N = 33.0606.6721. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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 FastZen 1 - EPYC 7601Zen 4C - EPYC 8534PN1224364860SE +/- 0.08, N = 3SE +/- 0.04, N = 522.2752.59

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 FastZen 1 - EPYC 7601Zen 4C - EPYC 8534PN1326395265SE +/- 0.04, N = 3SE +/- 0.14, N = 527.2155.98

VVenC

Video Input: Bosphorus 4K - Video Preset: Faster

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: FasterZen 1 - EPYC 7601Zen 4C - EPYC 8534PN3691215SE +/- 0.018, N = 3SE +/- 0.020, N = 36.49311.5641. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownZen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.11680.23360.35040.46720.5840.0280.519

SVT-AV1

Encoder Mode: Preset 13 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 13 - Input: Bosphorus 4KZen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.84941.69882.54823.39764.2470.1753.775

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 4KZen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.85321.70642.55963.41284.2660.1763.792

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 4KZen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.2030.4060.6090.8121.0150.0520.902

rav1e

Speed: 10

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.7Speed: 10Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN3691215SE +/- 0.080, N = 3SE +/- 0.020, N = 36.97112.355

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 4KZen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.01940.03880.05820.07760.0970.0060.086

rav1e

Speed: 10

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.7Speed: 10Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.05090.10180.15270.20360.25450.0200.226

rav1e

Speed: 6

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.7Speed: 6Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.02030.04060.06090.08120.10150.0080.090

rav1e

Speed: 6

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.7Speed: 6Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN1.09372.18743.28114.37485.4685SE +/- 0.003, N = 3SE +/- 0.020, N = 32.9374.861

uvg266

Video Input: Bosphorus 4K - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: MediumZen 1 - EPYC 7601Zen 4C - EPYC 8534PN510152025SE +/- 0.04, N = 3SE +/- 0.03, N = 38.7319.87

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 FastZen 1 - EPYC 7601Zen 4C - EPYC 8534PN1224364860SE +/- 0.01, N = 3SE +/- 0.07, N = 523.4455.01

rav1e

Speed: 5

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.7Speed: 5Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.01460.02920.04380.05840.0730.0060.065

rav1e

Speed: 1

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.7Speed: 1Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.00320.00640.00960.01280.0160.0010.014

x265

Video Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterx265 3.4Video Input: Bosphorus 4KZen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.08080.16160.24240.32320.4040.0280.359

uvg266

Video Input: Bosphorus 4K - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: MediumZen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.03510.07020.10530.14040.17550.0130.156

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 FastZen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.10690.21380.32070.42760.53450.0360.475

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 FastZen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.11250.2250.33750.450.56250.0380.500

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 FastZen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.12620.25240.37860.50480.6310.0460.561

VVenC

Video Input: Bosphorus 4K - Video Preset: Fast

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: FastZen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.01550.0310.04650.0620.07750.0060.069

rav1e

Speed: 5

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.7Speed: 5Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.80571.61142.41713.22284.0285SE +/- 0.014, N = 3SE +/- 0.002, N = 32.2493.581

rav1e

Speed: 1

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.7Speed: 1Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.19190.38380.57570.76760.9595SE +/- 0.001, N = 3SE +/- 0.001, N = 30.5630.853

x265

Video Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KZen 1 - EPYC 7601Zen 4C - EPYC 8534PN612182430SE +/- 0.17, N = 4SE +/- 0.05, N = 314.5227.541. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

VVenC

Video Input: Bosphorus 4K - Video Preset: Fast

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: FastZen 1 - EPYC 7601Zen 4C - EPYC 8534PN246810SE +/- 0.034, N = 3SE +/- 0.008, N = 33.2916.2801. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

VVenC

Video Input: Bosphorus 4K - Video Preset: Faster

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: FasterZen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.02950.0590.08850.1180.14750.0130.131

miniBUDE

Implementation: OpenMP - Input Deck: BM1

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN6001200180024003000SE +/- 0.94, N = 3SE +/- 5.71, N = 6356.122921.651. (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: BM2Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN6001200180024003000SE +/- 0.27, N = 3SE +/- 2.46, N = 3355.502939.361. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

ACES DGEMM

Sustained Floating-Point Rate

OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateZen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.04590.09180.13770.18360.22950.0060.204

ACES DGEMM

Sustained Floating-Point Rate

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateZen 1 - EPYC 7601Zen 4C - EPYC 8534PN510152025SE +/- 0.057778, N = 15SE +/- 0.145648, N = 53.79079922.9533151. (CC) gcc options: -O3 -march=native -fopenmp

Xmrig

Variant: Wownero - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: Wownero - Hash Count: 1MZen 1 - EPYC 7601Zen 4C - EPYC 8534PN8K16K24K32K40KSE +/- 27.32, N = 3SE +/- 114.17, N = 310414.739663.31. (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: 1MZen 1 - EPYC 7601Zen 4C - EPYC 8534PN4K8K12K16K20KSE +/- 75.94, N = 12SE +/- 7.38, N = 36957.220699.51. (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: 1MZen 1 - EPYC 7601Zen 4C - EPYC 8534PN4K8K12K16K20KSE +/- 21.41, N = 3SE +/- 174.63, N = 37081.020541.81. (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: 1MZen 1 - EPYC 7601Zen 4C - EPYC 8534PN4K8K12K16K20KSE +/- 60.77, N = 12SE +/- 3.75, N = 36937.920720.81. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Xmrig

Variant: GhostRider - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: GhostRider - Hash Count: 1MZen 1 - EPYC 7601Zen 4C - EPYC 8534PN9001800270036004500SE +/- 6.67, N = 3SE +/- 5.88, N = 31070.14376.01. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Xmrig

Variant: Monero - Hash Count: 1M

OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: Monero - Hash Count: 1MZen 1 - EPYC 7601Zen 4C - EPYC 8534PN30609012015010.86140.28

Xmrig

Variant: Wownero - Hash Count: 1M

OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: Wownero - Hash Count: 1MZen 1 - EPYC 7601Zen 4C - EPYC 8534PN6012018024030015.73259.25

Xmrig

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

OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: CryptoNight-Femto UPX2 - Hash Count: 1MZen 1 - EPYC 7601Zen 4C - EPYC 8534PN30609012015010.81136.92

Xmrig

Variant: CryptoNight-Heavy - Hash Count: 1M

OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: CryptoNight-Heavy - Hash Count: 1MZen 1 - EPYC 7601Zen 4C - EPYC 8534PN30609012015010.98135.43

Xmrig

Variant: KawPow - Hash Count: 1M

OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: KawPow - Hash Count: 1MZen 1 - EPYC 7601Zen 4C - EPYC 8534PN30609012015010.77135.71

Xmrig

Variant: GhostRider - Hash Count: 1M

OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: GhostRider - Hash Count: 1MZen 1 - EPYC 7601Zen 4C - EPYC 8534PN8162432401.91435.252

Xmrig

Variant: Monero - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: Monero - Hash Count: 1MZen 1 - EPYC 7601Zen 4C - EPYC 8534PN4K8K12K16K20KSE +/- 58.63, N = 3SE +/- 8.43, N = 37044.220716.51. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

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-OnlyZen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.4140.8281.2421.6562.07SE +/- 0.00, N = 3SE +/- 0.00, N = 30.481.84

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-OnlyZen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.00340.00680.01020.01360.0170.0010.015

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: ResNet-50Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN1122334455SE +/- 0.04, N = 3SE +/- 0.04, N = 39.8250.27

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-50Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.13430.26860.40290.53720.67150.0190.597

OSPRay

Benchmark: particle_volume/ao/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: particle_volume/ao/real_timeZen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.02340.04680.07020.09360.1170.0080.104

OSPRay

Benchmark: particle_volume/pathtracer/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: particle_volume/pathtracer/real_timeZen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.2630.5260.7891.0521.3150.1621.169

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_timeZen 1 - EPYC 7601Zen 4C - EPYC 8534PN48121620SE +/- 0.00282, N = 3SE +/- 0.03849, N = 32.5782917.29860

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_timeZen 1 - EPYC 7601Zen 4C - EPYC 8534PN48121620SE +/- 0.01722, N = 3SE +/- 0.01858, N = 32.4669216.80890

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_timeZen 1 - EPYC 7601Zen 4C - EPYC 8534PN510152025SE +/- 0.01550, N = 3SE +/- 0.02744, N = 34.1484119.64340

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_timeZen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.02540.05080.07620.10160.1270.0040.113

OSPRay

Benchmark: particle_volume/ao/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/ao/real_timeZen 1 - EPYC 7601Zen 4C - EPYC 8534PN48121620SE +/- 0.01171, N = 3SE +/- 0.01999, N = 35.2893117.09930

OSPRay

Benchmark: particle_volume/scivis/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/scivis/real_timeZen 1 - EPYC 7601Zen 4C - EPYC 8534PN48121620SE +/- 0.00822, N = 3SE +/- 0.05559, N = 35.2211617.04840

OSPRay

Benchmark: particle_volume/pathtracer/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/pathtracer/real_timeZen 1 - EPYC 7601Zen 4C - EPYC 8534PN4080120160200SE +/- 0.08, N = 3SE +/- 0.13, N = 398.44166.15

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_timeZen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.02630.05260.07890.10520.13150.0040.117

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_timeZen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.03080.06160.09240.12320.1540.0070.137

OSPRay

Benchmark: particle_volume/scivis/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: particle_volume/scivis/real_timeZen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.02810.05620.08430.11240.14050.0080.125

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-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN30060090012001500SE +/- 1.56, N = 3SE +/- 0.50, N = 3260.251444.91

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-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN70140210280350SE +/- 0.85, N = 6SE +/- 0.25, N = 390.66322.28

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-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN100200300400500SE +/- 0.49, N = 3SE +/- 0.29, N = 3144.68484.73

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-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN816243240SE +/- 0.04, N = 3SE +/- 0.06, N = 310.7536.76

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-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN50100150200250SE +/- 0.21, N = 3SE +/- 0.36, N = 370.34219.91

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-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN50100150200250SE +/- 0.11, N = 3SE +/- 0.29, N = 370.56221.30

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-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN816243240SE +/- 0.07, N = 3SE +/- 0.10, N = 310.8136.92

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-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN1428425670SE +/- 0.0191, N = 3SE +/- 0.1281, N = 39.299264.0361

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-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN100200300400500SE +/- 1.66, N = 3SE +/- 0.12, N = 3142.80484.87

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-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN8001600240032004000SE +/- 0.49, N = 3SE +/- 7.35, N = 3155.703821.92

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-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN1122334455SE +/- 0.06, N = 3SE +/- 0.03, N = 313.2646.87

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-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN150300450600750SE +/- 1.27, N = 3SE +/- 1.12, N = 3131.76696.51

IndigoBench

Acceleration: CPU - Scene: Supercar

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarZen 1 - EPYC 7601Zen 4C - EPYC 8534PN612182430SE +/- 0.050, N = 3SE +/- 0.040, N = 38.58024.522

IndigoBench

Acceleration: CPU - Scene: Bedroom

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: BedroomZen 1 - EPYC 7601Zen 4C - EPYC 8534PN3691215SE +/- 0.022, N = 3SE +/- 0.005, N = 33.99111.172

IndigoBench

Acceleration: CPU - Scene: Supercar

OpenBenchmarking.orgM samples/s Per Watt, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarZen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.04190.08380.12570.16760.20950.0130.186

IndigoBench

Acceleration: CPU - Scene: Bedroom

OpenBenchmarking.orgM samples/s Per Watt, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: BedroomZen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.01670.03340.05010.06680.08350.0060.074

QuantLib

Configuration: Multi-Threaded

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedZen 1 - EPYC 7601Zen 4C - EPYC 8534PN40K80K120K160K200KSE +/- 8.17, N = 3SE +/- 779.11, N = 364481.7171336.61. (CXX) g++ options: -O3 -march=native -fPIE -pie

QuantLib

Configuration: Multi-Threaded

OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedZen 1 - EPYC 7601Zen 4C - EPYC 8534PN200400600800100095.991133.59

7-Zip Compression

Test: Decompression Rating

OpenBenchmarking.orgMIPS Per Watt, More Is Better7-Zip Compression 22.01Test: Decompression RatingZen 1 - EPYC 7601Zen 4C - EPYC 8534PN6001200180024003000214.292960.25

7-Zip Compression

Test: Compression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingZen 1 - EPYC 7601Zen 4C - EPYC 8534PN80K160K240K320K400KSE +/- 1034.27, N = 3SE +/- 548.98, N = 31239343580931. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

7-Zip Compression

Test: Decompression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingZen 1 - EPYC 7601Zen 4C - EPYC 8534PN90K180K270K360K450KSE +/- 1450.84, N = 3SE +/- 942.48, N = 31344174060211. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2023Implementation: MPI CPU - Input: water_GMX50_bareZen 1 - EPYC 76010.44820.89641.34461.79282.241SE +/- 0.017, N = 31.9921. (CXX) g++ options: -O3

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2023Implementation: MPI CPU - Input: water_GMX50_bareZen 1 - EPYC 76010.00070.00140.00210.00280.00350.003

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsZen 1 - EPYC 7601Zen 4C - EPYC 8534PN714212835SE +/- 0.05, N = 3SE +/- 0.03, N = 313.8731.011. (CXX) g++ options: -O3 -lm -ldl

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsZen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.03960.07920.11880.15840.1980.0200.176

Apache Cassandra

Test: Writes

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.1.3Test: WritesZen 1 - EPYC 7601Zen 4C - EPYC 8534PN50K100K150K200K250KSE +/- 702.01, N = 3SE +/- 417.51, N = 3152887251434

Speedb

Test: Random Read

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Random ReadZen 1 - EPYC 7601Zen 4C - EPYC 8534PN70M140M210M280M350MSE +/- 795244.11, N = 3SE +/- 908871.00, N = 3868670413045429441. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Speedb

Test: Read While Writing

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Read While WritingZen 1 - EPYC 7601Zen 4C - EPYC 8534PN3M6M9M12M15MSE +/- 67628.42, N = 3SE +/- 104743.64, N = 156145679129475071. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Speedb

Test: Read Random Write Random

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Read Random Write RandomZen 1 - EPYC 7601Zen 4C - EPYC 8534PN600K1200K1800K2400K3000KSE +/- 1989.50, N = 3SE +/- 17447.09, N = 3143607425775641. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Speedb

Test: Update Random

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Update RandomZen 1 - EPYC 7601Zen 4C - EPYC 8534PN80K160K240K320K400KSE +/- 239.59, N = 3SE +/- 832.97, N = 32015553566021. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Apache Cassandra

Test: Writes

OpenBenchmarking.orgOp/s Per Watt, More Is BetterApache Cassandra 4.1.3Test: WritesZen 1 - EPYC 7601Zen 4C - EPYC 8534PN5001000150020002500258.462453.41

Speedb

Test: Read While Writing

OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Read While WritingZen 1 - EPYC 7601Zen 4C - EPYC 8534PN20K40K60K80K100K9060.4881136.79

Speedb

Test: Read Random Write Random

OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Read Random Write RandomZen 1 - EPYC 7601Zen 4C - EPYC 8534PN4K8K12K16K20K2268.9316894.41

Speedb

Test: Update Random

OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Update RandomZen 1 - EPYC 7601Zen 4C - EPYC 8534PN7001400210028003500396.183398.27

RocksDB

Test: Random Read

OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 8.0Test: Random ReadZen 1 - EPYC 7601Zen 4C - EPYC 8534PN400K800K1200K1600K2000K125079.641925962.53

RocksDB

Test: Read While Writing

OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 8.0Test: Read While WritingZen 1 - EPYC 7601Zen 4C - EPYC 8534PN9K18K27K36K45K4962.3242709.95

RocksDB

Test: Read Random Write Random

OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 8.0Test: Read Random Write RandomZen 1 - EPYC 7601Zen 4C - EPYC 8534PN4K8K12K16K20K2244.5516345.97

RocksDB

Test: Update Random

OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 8.0Test: Update RandomZen 1 - EPYC 7601Zen 4C - EPYC 8534PN8001600240032004000502.973799.25

RocksDB

Test: Random Read

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Random ReadZen 1 - EPYC 7601Zen 4C - EPYC 8534PN60M120M180M240M300MSE +/- 416491.60, N = 3SE +/- 1581555.58, N = 3847982043026744401. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Speedb

Test: Random Read

OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Random ReadZen 1 - EPYC 7601Zen 4C - EPYC 8534PN400K800K1200K1600K2000K128090.201947735.76

RocksDB

Test: Read While Writing

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Read While WritingZen 1 - EPYC 7601Zen 4C - EPYC 8534PN1.5M3M4.5M6M7.5MSE +/- 34108.45, N = 3SE +/- 125140.33, N = 12337187669182671. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

RocksDB

Test: Read Random Write Random

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Read Random Write RandomZen 1 - EPYC 7601Zen 4C - EPYC 8534PN600K1200K1800K2400K3000KSE +/- 4649.81, N = 3SE +/- 22479.06, N = 15150918426542861. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

RocksDB

Test: Update Random

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Update RandomZen 1 - EPYC 7601Zen 4C - EPYC 8534PN100K200K300K400K500KSE +/- 737.50, N = 3SE +/- 566.63, N = 32906184833871. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

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: 1:10Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN5K10K15K20K25K1836.8623505.65

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: 1:10Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN700K1400K2100K2800K3500KSE +/- 1850.76, N = 3SE +/- 25227.98, N = 91183656.973084431.371. (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: 1:5Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN600K1200K1800K2400K3000KSE +/- 8571.80, N = 11SE +/- 25230.96, N = 31142464.162901182.231. (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 Per Watt, More Is BetterRedis 7.0.12 + memtier_benchmark 2.0Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN5K10K15K20K25K1771.4522203.36

Meta Performance Per Watts

Performance Per Watts

OpenBenchmarking.orgPerformance Per Watts, More Is BetterMeta Performance Per WattsPerformance Per WattsZen 1 - EPYC 7601Zen 4C - EPYC 8534PN50010001500200025002562.10180.52

Apache IoTDB

Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN11M22M33M44M55MSE +/- 524500.20, N = 3SE +/- 567305.29, N = 33871226351396698

Apache IoTDB

Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN11M22M33M44M55MSE +/- 325879.11, N = 8SE +/- 524236.55, N = 33817645650396884

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: 100Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN20M40M60M80M100MSE +/- 175336.13, N = 3SE +/- 262330.46, N = 35375994086530272

Apache IoTDB

Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN20M40M60M80M100MSE +/- 507374.51, N = 3SE +/- 286751.08, N = 35284912586278348

Apache IoTDB

Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN20M40M60M80M100MSE +/- 85534.45, N = 3SE +/- 102156.43, N = 358774090104173220

Apache IoTDB

Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN20M40M60M80M100MSE +/- 470631.65, N = 3SE +/- 417895.46, N = 359444334103397638

Apache IoTDB

Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN15M30M45M60M75MSE +/- 405601.66, N = 3SE +/- 89839.93, N = 34604958967937226

Apache IoTDB

Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN15M30M45M60M75MSE +/- 330018.02, N = 3SE +/- 292969.25, N = 34592107467712944

Apache IoTDB

Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN20M40M60M80M100MSE +/- 197187.95, N = 3SE +/- 349666.50, N = 35699381199531709

Apache IoTDB

Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN20M40M60M80M100MSE +/- 596691.26, N = 5SE +/- 1905882.84, N = 125703744191869780

Apache IoTDB

Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN16M32M48M64M80MSE +/- 295389.20, N = 3SE +/- 1143156.28, N = 125840375673031288

Apache IoTDB

Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN15M30M45M60M75MSE +/- 138623.83, N = 3SE +/- 878468.51, N = 36023762570984166

nginx

Connections: 1000

OpenBenchmarking.orgRequests Per Second Per Watt, More Is Betternginx 1.23.2Connections: 1000Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN30060090012001500148.961587.79

Apache HTTP Server

Concurrent Requests: 1000

OpenBenchmarking.orgRequests Per Second Per Watt, More Is BetterApache HTTP Server 2.4.56Concurrent Requests: 1000Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN2004006008001000132.65921.15

nginx

Connections: 500

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 500Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN60K120K180K240K300KSE +/- 450.48, N = 3SE +/- 1464.33, N = 3103269.83263177.491. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

nginx

Connections: 1000

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 1000Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN60K120K180K240K300KSE +/- 212.46, N = 3SE +/- 312.48, N = 3100664.35266322.551. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

Apache HTTP Server

Concurrent Requests: 1000

OpenBenchmarking.orgRequests Per Second, More Is BetterApache HTTP Server 2.4.56Concurrent Requests: 1000Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN30K60K90K120K150KSE +/- 319.15, N = 3SE +/- 1806.36, N = 388038.28130116.681. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

nginx

Connections: 500

OpenBenchmarking.orgRequests Per Second Per Watt, More Is Betternginx 1.23.2Connections: 500Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN30060090012001500153.161570.36

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN5K10K15K20K25KSE +/- 8.66, N = 3SE +/- 24.99, N = 34510.725217.01. (CC) gcc options: -pthread -m64 -O3 -ldl

Kripke

OpenBenchmarking.orgThroughput FoM Per Watt, More Is BetterKripke 1.2.6Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN500K1000K1500K2000K2500K291422.102221434.65

Kripke

OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.6Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN60M120M180M240M300MSE +/- 1601742.67, N = 3SE +/- 668520.88, N = 31873759333031072001. (CXX) g++ options: -O3 -fopenmp -ldl

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgverify/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: RSA4096Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN13002600390052006500432.835928.92

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN200K400K600K800K1000KSE +/- 361.69, N = 3SE +/- 395.01, N = 3293924.1889214.21. (CC) gcc options: -pthread -m64 -O3 -ldl

Chaos Group V-RAY

Mode: CPU

OpenBenchmarking.orgvsamples Per Watt, More Is BetterChaos Group V-RAY 5.02Mode: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN10020030040050034.52463.07

Chaos Group V-RAY

Mode: CPU

OpenBenchmarking.orgvsamples, More Is BetterChaos Group V-RAY 5.02Mode: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN13K26K39K52K65KSE +/- 15.72, N = 3SE +/- 764.13, N = 32017560911

Apache IoTDB

Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN1020304050SE +/- 0.62, N = 3SE +/- 0.57, N = 346.2935.58MAX: 12751.47MAX: 12564.03

Apache IoTDB

Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN4080120160200SE +/- 1.86, N = 8SE +/- 1.34, N = 3166.00133.01MAX: 27445.2MAX: 27113.93

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: 100Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN20406080100SE +/- 0.50, N = 3SE +/- 0.43, N = 385.0752.95MAX: 11426.59MAX: 10080.74

Apache IoTDB

Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN60120180240300SE +/- 3.57, N = 3SE +/- 0.93, N = 3294.75191.77MAX: 29204.63MAX: 26841.55

Apache IoTDB

Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN306090120150SE +/- 0.22, N = 3SE +/- 0.06, N = 3127.2671.67MAX: 10220.3MAX: 10076.95

Apache IoTDB

Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN90180270360450SE +/- 5.76, N = 3SE +/- 2.13, N = 3421.30254.31MAX: 27834.33MAX: 27111.61

Apache IoTDB

Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN918273645SE +/- 0.33, N = 3SE +/- 0.16, N = 339.4027.16MAX: 23930.49MAX: 23871.38

Apache IoTDB

Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN306090120150SE +/- 1.86, N = 3SE +/- 0.31, N = 3147.89106.91MAX: 27830.18MAX: 26717.27

Apache IoTDB

Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN20406080100SE +/- 0.21, N = 3SE +/- 0.08, N = 382.0747.19MAX: 23993.13MAX: 23867.11

Apache IoTDB

Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN70140210280350SE +/- 4.76, N = 5SE +/- 4.45, N = 12318.24195.49MAX: 28518.21MAX: 28108.09

Apache IoTDB

Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN306090120150SE +/- 0.61, N = 3SE +/- 1.78, N = 12129.77101.60MAX: 23980.17MAX: 30258.71

Apache IoTDB

Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN110220330440550SE +/- 3.72, N = 3SE +/- 8.85, N = 3488.64394.51MAX: 28615.16MAX: 32858.26

NAMD

ATPase Simulation - 327,506 Atoms

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsZen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.22040.44080.66120.88161.102SE +/- 0.00385, N = 3SE +/- 0.00016, N = 30.979590.39175

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: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN2K4K6K8K10KSE +/- 16.50, N = 3SE +/- 2.08, N = 384781856

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: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN30K60K90K120K150KSE +/- 81.84, N = 3SE +/- 45.84, N = 314552836085

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: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN60K120K180K240K300KSE +/- 353.76, N = 3SE +/- 237.26, N = 328060665725

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: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN2K4K6K8K10KSE +/- 34.23, N = 3SE +/- 3.51, N = 3100502196

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: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN40K80K120K160K200KSE +/- 133.22, N = 3SE +/- 228.15, N = 317118841278

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: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN70K140K210K280K350KSE +/- 188.22, N = 3SE +/- 336.36, N = 333164376785

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection FP16-INT8 - Device: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN400800120016002000SE +/- 0.06, N = 3SE +/- 2.44, N = 32094.21595.92MIN: 2092.79 / MAX: 2112.41MIN: 511.76 / MAX: 618.531. (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.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.54681.09361.64042.18722.734SE +/- 0.00, N = 3SE +/- 0.00, N = 32.430.60MIN: 2.39 / MAX: 10.02MIN: 0.27 / MAX: 24.871. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Detection FP16 - Device: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN4080120160200SE +/- 0.36, N = 3SE +/- 0.14, N = 3181.92146.53MIN: 171.42 / MAX: 202.33MIN: 71.86 / MAX: 230.851. (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: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN20406080100SE +/- 0.00, N = 3SE +/- 0.01, N = 384.6811.97MIN: 84.05 / MAX: 93.44MIN: 6.19 / MAX: 26.191. (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: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN612182430SE +/- 0.03, N = 3SE +/- 0.02, N = 327.0110.90MIN: 26.86 / MAX: 38.57MIN: 5.86 / MAX: 22.421. (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: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN48121620SE +/- 0.06, N = 3SE +/- 0.01, N = 316.9512.21MIN: 16.19 / MAX: 27.98MIN: 7.44 / MAX: 23.581. (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: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN4080120160200SE +/- 0.49, N = 3SE +/- 0.21, N = 3193.33103.12MIN: 178.13 / MAX: 252.21MIN: 51.8 / MAX: 150.841. (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: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN3691215SE +/- 0.00, N = 3SE +/- 0.01, N = 39.107.10MIN: 9.04 / MAX: 17.25MIN: 4.1 / MAX: 18.361. (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.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16-INT8 - Device: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN4080120160200SE +/- 0.65, N = 3SE +/- 0.03, N = 3169.0451.96MIN: 141.74 / MAX: 192.16MIN: 33.44 / MAX: 81.121. (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: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN1224364860SE +/- 0.05, N = 3SE +/- 0.10, N = 353.4732.67MIN: 52.68 / MAX: 66.73MIN: 17.88 / MAX: 49.591. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

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-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN1428425670SE +/- 0.36, N = 3SE +/- 0.01, N = 361.3922.12

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-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN4080120160200SE +/- 1.64, N = 6SE +/- 0.07, N = 3176.4399.11

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-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN20406080100SE +/- 0.40, N = 3SE +/- 0.04, N = 3110.4565.93

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-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN30060090012001500SE +/- 5.55, N = 3SE +/- 0.50, N = 31457.92855.73

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-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN50100150200250SE +/- 0.66, N = 3SE +/- 0.24, N = 3226.95145.11

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-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN50100150200250SE +/- 0.35, N = 3SE +/- 0.20, N = 3226.37144.14

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-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN30060090012001500SE +/- 2.60, N = 3SE +/- 0.81, N = 31460.70855.93

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-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN400800120016002000SE +/- 3.29, N = 3SE +/- 1.38, N = 31701.37495.14

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-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN306090120150SE +/- 1.29, N = 3SE +/- 0.01, N = 3111.9065.91

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-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN20406080100SE +/- 0.3037, N = 3SE +/- 0.0152, N = 3102.65828.3560

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-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN30060090012001500SE +/- 3.61, N = 3SE +/- 0.35, N = 31200.10674.26

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-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN306090120150SE +/- 1.16, N = 3SE +/- 0.07, N = 3121.2145.88

DuckDB

Benchmark: IMDB

OpenBenchmarking.orgSeconds, Fewer Is BetterDuckDB 0.9.1Benchmark: IMDBZen 1 - EPYC 7601Zen 4C - EPYC 8534PN4080120160200SE +/- 0.56, N = 3SE +/- 0.24, N = 3199.01125.101. (CXX) g++ options: -O3 -rdynamic -lssl -lcrypto -ldl

DuckDB

Benchmark: TPC-H Parquet

OpenBenchmarking.orgSeconds, Fewer Is BetterDuckDB 0.9.1Benchmark: TPC-H ParquetZen 1 - EPYC 7601Zen 4C - EPYC 8534PN50100150200250SE +/- 0.21, N = 3SE +/- 0.17, N = 3245.74178.441. (CXX) g++ options: -O3 -rdynamic -lssl -lcrypto -ldl

Timed Linux Kernel Compilation

Build: defconfig

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfigZen 1 - EPYC 7601Zen 4C - EPYC 8534PN20406080100SE +/- 0.88, N = 3SE +/- 0.50, N = 476.3041.71

Timed Linux Kernel Compilation

Build: allmodconfig

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfigZen 1 - EPYC 7601Zen 4C - EPYC 8534PN160320480640800SE +/- 0.57, N = 3SE +/- 0.63, N = 3755.02307.65

Timed LLVM Compilation

Build System: Ninja

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: NinjaZen 1 - EPYC 7601Zen 4C - EPYC 8534PN90180270360450SE +/- 1.49, N = 3SE +/- 0.09, N = 3435.05173.87

Timed LLVM Compilation

Build System: Unix Makefiles

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Unix MakefilesZen 1 - EPYC 7601Zen 4C - EPYC 8534PN110220330440550SE +/- 1.95, N = 3SE +/- 0.55, N = 3529.72261.16

Timed Node.js Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 19.8.1Time To CompileZen 1 - EPYC 7601Zen 4C - EPYC 8534PN80160240320400SE +/- 0.64, N = 3SE +/- 0.12, N = 3387.65160.73

Timed Gem5 Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Gem5 Compilation 23.0.1Time To CompileZen 1 - EPYC 7601Zen 4C - EPYC 8534PN80160240320400SE +/- 4.50, N = 3SE +/- 2.38, N = 3388.02217.13

Timed FFmpeg Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 6.1Time To CompileZen 1 - EPYC 7601Zen 4C - EPYC 8534PN918273645SE +/- 0.10, N = 3SE +/- 0.03, N = 339.7918.06

SPECFEM3D

Model: Layered Halfspace

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Layered HalfspaceZen 1 - EPYC 760120406080100SE +/- 0.98, N = 378.681. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

SPECFEM3D

Model: Water-layered Halfspace

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Water-layered HalfspaceZen 1 - EPYC 760120406080100SE +/- 0.29, N = 374.951. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

SPECFEM3D

Model: Homogeneous Halfspace

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Homogeneous HalfspaceZen 1 - EPYC 7601918273645SE +/- 0.31, N = 338.061. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

SPECFEM3D

Model: Mount St. Helens

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Mount St. HelensZen 1 - EPYC 7601714212835SE +/- 0.41, N = 329.951. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

SPECFEM3D

Model: Tomographic Model

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.0Model: Tomographic ModelZen 1 - EPYC 7601714212835SE +/- 0.13, N = 330.281. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Mesh Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Mesh TimeZen 1 - EPYC 7601Zen 4C - EPYC 8534PN102030405044.4530.951. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Execution Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Execution TimeZen 1 - EPYC 7601Zen 4C - EPYC 8534PN306090120150126.1954.561. (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 TimeZen 1 - EPYC 7601Zen 4C - EPYC 8534PN50100150200250231.74159.571. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

OpenFOAM

Input: drivaerFastback, Medium Mesh Size - Execution Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Execution TimeZen 1 - EPYC 7601Zen 4C - EPYC 8534PN300600900120015001179.25679.791. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

OpenRadioss

Model: Chrysler Neon 1M

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Chrysler Neon 1MZen 1 - EPYC 7601Zen 4C - EPYC 8534PN110220330440550SE +/- 0.62, N = 3SE +/- 0.36, N = 3499.30297.72

easyWave

Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200

OpenBenchmarking.orgSeconds, Fewer Is BettereasyWave r34Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN306090120150SE +/- 1.77, N = 4SE +/- 0.29, N = 3148.0838.881. (CXX) g++ options: -O3 -fopenmp

easyWave

Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400

OpenBenchmarking.orgSeconds, Fewer Is BettereasyWave r34Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN80160240320400SE +/- 6.02, N = 6SE +/- 0.43, N = 3352.69109.851. (CXX) g++ options: -O3 -fopenmp

GPAW

Input: Carbon Nanotube

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 23.6Input: Carbon NanotubeZen 1 - EPYC 7601Zen 4C - EPYC 8534PN306090120150SE +/- 0.91, N = 3SE +/- 0.20, N = 3142.1763.051. (CC) gcc options: -shared -fwrapv -O2 -lxc -lblas -lmpi

CloverLeaf

Input: clover_bm64_short

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm64_shortZen 1 - EPYC 7601Zen 4C - EPYC 8534PN20406080100SE +/- 1.39, N = 3SE +/- 0.02, N = 3108.6057.381. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

CloverLeaf

Input: clover_bm16

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm16Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN2004006008001000SE +/- 1.74, N = 3SE +/- 0.79, N = 3971.50497.091. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

Xcompact3d Incompact3d

Input: input.i3d 193 Cells Per Direction

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per DirectionZen 1 - EPYC 7601Zen 4C - EPYC 8534PN918273645SE +/- 0.22, N = 3SE +/- 0.03, N = 337.4120.871. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

Xcompact3d Incompact3d

Input: X3D-benchmarking input.i3d

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: X3D-benchmarking input.i3dZen 1 - EPYC 7601Zen 4C - EPYC 8534PN2004006008001000SE +/- 0.24, N = 3SE +/- 1.66, N = 3818.05562.361. (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

Y-Cruncher

Pi Digits To Calculate: 500M

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.3Pi Digits To Calculate: 500MZen 1 - EPYC 7601Zen 4C - EPYC 8534PN48121620SE +/- 0.118, N = 3SE +/- 0.006, N = 515.6935.099

Y-Cruncher

Pi Digits To Calculate: 1B

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.3Pi Digits To Calculate: 1BZen 1 - EPYC 7601Zen 4C - EPYC 8534PN816243240SE +/- 0.09, N = 3SE +/- 0.01, N = 433.9210.23

Timed MrBayes Analysis

Primate Phylogeny Analysis

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MrBayes Analysis 3.2.7Primate Phylogeny AnalysisZen 1 - EPYC 7601Zen 4C - EPYC 8534PN4080120160200SE +/- 4.88, N = 12SE +/- 0.47, N = 3201.18126.97-mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mavx512ifma -mavx512vbmi1. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -msha -maes -mavx -mfma -mavx2 -mrdrnd -mbmi -mbmi2 -madx -mabm -O3 -std=c99 -pedantic -lm -lreadline

Blender

Blend File: BMW27 - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: BMW27 - Compute: CPU-OnlyZen 1 - EPYC 7601Zen 4C - EPYC 8534PN1632486480SE +/- 0.35, N = 3SE +/- 0.12, N = 373.0027.07

Blender

Blend File: Classroom - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Classroom - Compute: CPU-OnlyZen 1 - EPYC 7601Zen 4C - EPYC 8534PN4080120160200SE +/- 1.40, N = 3SE +/- 0.09, N = 3192.8067.91

Blender

Blend File: Fishy Cat - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Fishy Cat - Compute: CPU-OnlyZen 1 - EPYC 7601Zen 4C - EPYC 8534PN20406080100SE +/- 0.13, N = 3SE +/- 0.08, N = 3101.2035.37

Blender

Blend File: Pabellon Barcelona - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Pabellon Barcelona - Compute: CPU-OnlyZen 1 - EPYC 7601Zen 4C - EPYC 8534PN50100150200250SE +/- 0.13, N = 3SE +/- 0.13, N = 3247.2486.57

Blender

Blend File: Barbershop - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Barbershop - Compute: CPU-OnlyZen 1 - EPYC 7601Zen 4C - EPYC 8534PN170340510680850SE +/- 0.52, N = 3SE +/- 0.15, N = 3767.15240.35

nginx

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601240674714Zen 4C - EPYC 8534PN12168180OpenBenchmarking.orgWatts, Fewer Is Betternginx 1.23.2CPU Power Consumption Monitor2004006008001000

nginx

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601258676713Zen 4C - EPYC 8534PN14168180OpenBenchmarking.orgWatts, Fewer Is Betternginx 1.23.2CPU Power Consumption Monitor2004006008001000

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601262679712Zen 4C - EPYC 8534PN15150171OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor2004006008001000

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601261696713Zen 4C - EPYC 8534PN14167179OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor2004006008001000

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601264698712Zen 4C - EPYC 8534PN14170178OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor2004006008001000

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601264698712Zen 4C - EPYC 8534PN14163170OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor2004006008001000

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601264698712Zen 4C - EPYC 8534PN14163170OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor2004006008001000

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601265685711Zen 4C - EPYC 8534PN13167179OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor2004006008001000

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601265685711Zen 4C - EPYC 8534PN14167178OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor2004006008001000

Apache HTTP Server

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601263664709Zen 4C - EPYC 8534PN14141157OpenBenchmarking.orgWatts, Fewer Is BetterApache HTTP Server 2.4.56CPU Power Consumption Monitor2004006008001000

Apache IoTDB

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601259383699Zen 4C - EPYC 8534PN1543143OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor2004006008001000

Apache IoTDB

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601259390699Zen 4C - EPYC 8534PN1342145OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor2004006008001000

Apache IoTDB

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601251458697Zen 4C - EPYC 8534PN958146OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor2004006008001000

Apache IoTDB

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601253452694Zen 4C - EPYC 8534PN1359143OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor2004006008001000

Apache IoTDB

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601252497735Zen 4C - EPYC 8534PN1370149OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor2004006008001000

Apache IoTDB

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601253496697Zen 4C - EPYC 8534PN1371151OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor2004006008001000

Apache IoTDB

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601252418700Zen 4C - EPYC 8534PN1347145OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor2004006008001000

Apache IoTDB

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601252418695Zen 4C - EPYC 8534PN1350146OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor2004006008001000

Apache IoTDB

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601252498718Zen 4C - EPYC 8534PN1369148OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor2004006008001000

Apache IoTDB

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601252501692Zen 4C - EPYC 8534PN1372148OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor2004006008001000

Apache IoTDB

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601252535699Zen 4C - EPYC 8534PN1276147OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor2004006008001000

Apache IoTDB

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601254530790Zen 4C - EPYC 8534PN1476146OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor2004006008001000

DuckDB

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601211.1418.3590.5Zen 4C - EPYC 8534PN13.164.1104.1OpenBenchmarking.orgWatts, Fewer Is BetterDuckDB 0.9.1CPU Power Consumption Monitor160320480640800

DuckDB

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601262.0320.9559.4Zen 4C - EPYC 8534PN12.953.090.9OpenBenchmarking.orgWatts, Fewer Is BetterDuckDB 0.9.1CPU Power Consumption Monitor140280420560700

Apache Cassandra

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601259592701Zen 4C - EPYC 8534PN13102131OpenBenchmarking.orgWatts, Fewer Is BetterApache Cassandra 4.1.3CPU Power Consumption Monitor2004006008001000

Speedb

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601259678714Zen 4C - EPYC 8534PN14156169OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor2004006008001000

Speedb

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601260678716Zen 4C - EPYC 8534PN13160180OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor2004006008001000

Speedb

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601262633710Zen 4C - EPYC 8534PN15153173OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor2004006008001000

Speedb

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601261.5508.7579.5Zen 4C - EPYC 8534PN14.4104.9121.7OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor160320480640800

RocksDB

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601259678714Zen 4C - EPYC 8534PN15157169OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 8.0CPU Power Consumption Monitor2004006008001000

RocksDB

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601262679712Zen 4C - EPYC 8534PN15162179OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 8.0CPU Power Consumption Monitor2004006008001000

RocksDB

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601268672711Zen 4C - EPYC 8534PN14162177OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 8.0CPU Power Consumption Monitor2004006008001000

RocksDB

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601264578641Zen 4C - EPYC 8534PN15127140OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 8.0CPU Power Consumption Monitor2004006008001000

Redis 7.0.12 + memtier_benchmark

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601260644714Zen 4C - EPYC 8534PN14131153OpenBenchmarking.orgWatts, Fewer Is BetterRedis 7.0.12 + memtier_benchmark 2.0CPU Power Consumption Monitor2004006008001000

Redis 7.0.12 + memtier_benchmark

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601266645715Zen 4C - EPYC 8534PN14131153OpenBenchmarking.orgWatts, Fewer Is BetterRedis 7.0.12 + memtier_benchmark 2.0CPU Power Consumption Monitor2004006008001000

7-Zip Compression

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601262627714Zen 4C - EPYC 8534PN13137180OpenBenchmarking.orgWatts, Fewer Is Better7-Zip Compression 22.01CPU Power Consumption Monitor2004006008001000

Timed Linux Kernel Compilation

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601257528717Zen 4C - EPYC 8534PN1495176OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 6.1CPU Power Consumption Monitor2004006008001000

Timed Linux Kernel Compilation

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 6.1CPU Power Consumption MonitorZen 1 - EPYC 7601Zen 4C - EPYC 8534PN130260390520650Min: 254.27 / Avg: 676.95 / Max: 718.77Min: 13.8 / Avg: 150.86 / Max: 177.47

Timed LLVM Compilation

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 16.0CPU Power Consumption MonitorZen 1 - EPYC 7601Zen 4C - EPYC 8534PN130260390520650Min: 257.35 / Avg: 646.98 / Max: 716.05Min: 13.97 / Avg: 137.82 / Max: 180.02

Timed LLVM Compilation

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 16.0CPU Power Consumption MonitorZen 1 - EPYC 7601Zen 4C - EPYC 8534PN130260390520650Min: 254.39 / Avg: 594.06 / Max: 717.76Min: 13.35 / Avg: 112.54 / Max: 180.07

Timed Node.js Compilation

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601144624717Zen 4C - EPYC 8534PN14128180OpenBenchmarking.orgWatts, Fewer Is BetterTimed Node.js Compilation 19.8.1CPU Power Consumption Monitor2004006008001000

Timed Gem5 Compilation

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601225533719Zen 4C - EPYC 8534PN1394180OpenBenchmarking.orgWatts, Fewer Is BetterTimed Gem5 Compilation 23.0.1CPU Power Consumption Monitor2004006008001000

Timed FFmpeg Compilation

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601255526717Zen 4C - EPYC 8534PN1385178OpenBenchmarking.orgWatts, Fewer Is BetterTimed FFmpeg Compilation 6.1CPU Power Consumption Monitor2004006008001000

QuantLib

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601258672716Zen 4C - EPYC 8534PN13151177OpenBenchmarking.orgWatts, Fewer Is BetterQuantLib 1.32CPU Power Consumption Monitor2004006008001000

SPECFEM3D

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601260670710OpenBenchmarking.orgWatts, Fewer Is BetterSPECFEM3D 4.0CPU Power Consumption Monitor2004006008001000

SPECFEM3D

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601264652704OpenBenchmarking.orgWatts, Fewer Is BetterSPECFEM3D 4.0CPU Power Consumption Monitor2004006008001000

SPECFEM3D

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601265650713OpenBenchmarking.orgWatts, Fewer Is BetterSPECFEM3D 4.0CPU Power Consumption Monitor2004006008001000

SPECFEM3D

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601261637712OpenBenchmarking.orgWatts, Fewer Is BetterSPECFEM3D 4.0CPU Power Consumption Monitor2004006008001000

SPECFEM3D

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601262636714OpenBenchmarking.orgWatts, Fewer Is BetterSPECFEM3D 4.0CPU Power Consumption Monitor2004006008001000

OpenFOAM

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601262657703Zen 4C - EPYC 8534PN12158176OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10CPU Power Consumption Monitor2004006008001000

OpenFOAM

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10CPU Power Consumption MonitorZen 1 - EPYC 7601Zen 4C - EPYC 8534PN120240360480600Min: 262.83 / Avg: 640.83 / Max: 704.84Min: 13.48 / Avg: 155.34 / Max: 173.05

OpenRadioss

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15CPU Power Consumption MonitorZen 1 - EPYC 7601Zen 4C - EPYC 8534PN120240360480600Min: 266.19 / Avg: 628.45 / Max: 689.13Min: 14.51 / Avg: 144.84 / Max: 161.81

miniBUDE

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601266655707Zen 4C - EPYC 8534PN15113173OpenBenchmarking.orgWatts, Fewer Is BetterminiBUDE 20210901CPU Power Consumption Monitor2004006008001000

miniBUDE

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601263678697Zen 4C - EPYC 8534PN14159175OpenBenchmarking.orgWatts, Fewer Is BetterminiBUDE 20210901CPU Power Consumption Monitor2004006008001000

easyWave

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601265.0522.7590.2Zen 4C - EPYC 8534PN13.989.2104.3OpenBenchmarking.orgWatts, Fewer Is BettereasyWave r34CPU Power Consumption Monitor160320480640800

easyWave

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BettereasyWave r34CPU Power Consumption MonitorZen 1 - EPYC 7601Zen 4C - EPYC 8534PN100200300400500Min: 247.92 / Avg: 525.08 / Max: 591.62Min: 13.77 / Avg: 94.5 / Max: 104.72

GPAW

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601258667715Zen 4C - EPYC 8534PN14155177OpenBenchmarking.orgWatts, Fewer Is BetterGPAW 23.6CPU Power Consumption Monitor2004006008001000

LAMMPS Molecular Dynamics Simulator

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022CPU Power Consumption MonitorZen 1 - EPYC 7601Zen 4C - EPYC 8534PN120240360480600Min: 262.81 / Avg: 690.49 / Max: 703.09Min: 14.4 / Avg: 176.23 / Max: 179.18

CloverLeaf

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601267587649Zen 4C - EPYC 8534PN15119130OpenBenchmarking.orgWatts, Fewer Is BetterCloverLeaf 1.3CPU Power Consumption Monitor2004006008001000

CloverLeaf

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterCloverLeaf 1.3CPU Power Consumption MonitorZen 1 - EPYC 7601Zen 4C - EPYC 8534PN110220330440550Min: 263.25 / Avg: 593.38 / Max: 633.3Min: 14.57 / Avg: 130.07 / Max: 135.51

Kripke

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601264643709Zen 4C - EPYC 8534PN15136175OpenBenchmarking.orgWatts, Fewer Is BetterKripke 1.2.6CPU Power Consumption Monitor2004006008001000

Xcompact3d Incompact3d

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601264578640Zen 4C - EPYC 8534PN14119152OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption Monitor2004006008001000

Xcompact3d Incompact3d

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption MonitorZen 1 - EPYC 7601Zen 4C - EPYC 8534PN120240360480600Min: 264.43 / Avg: 601.98 / Max: 679.05Min: 14.17 / Avg: 133.33 / Max: 149.74

NAMD

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601265665714Zen 4C - EPYC 8534PN15145168OpenBenchmarking.orgWatts, Fewer Is BetterNAMD 2.14CPU Power Consumption Monitor2004006008001000

GROMACS

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601263670709OpenBenchmarking.orgWatts, Fewer Is BetterGROMACS 2023CPU Power Consumption Monitor2004006008001000

Quicksilver

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601243584648Zen 4C - EPYC 8534PN13106117OpenBenchmarking.orgWatts, Fewer Is BetterQuicksilver 20230818CPU Power Consumption Monitor2004006008001000

Quicksilver

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601255.2553.7594.9Zen 4C - EPYC 8534PN13.692.194.5OpenBenchmarking.orgWatts, Fewer Is BetterQuicksilver 20230818CPU Power Consumption Monitor160320480640800

Quicksilver

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterQuicksilver 20230818CPU Power Consumption MonitorZen 1 - EPYC 7601Zen 4C - EPYC 8534PN120240360480600Min: 258.88 / Avg: 624.15 / Max: 662.04Min: 13.53 / Avg: 113.67 / Max: 117.3

Y-Cruncher

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601262543712Zen 4C - EPYC 8534PN1476156OpenBenchmarking.orgWatts, Fewer Is BetterY-Cruncher 0.8.3CPU Power Consumption Monitor2004006008001000

Y-Cruncher

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601263602718Zen 4C - EPYC 8534PN1396170OpenBenchmarking.orgWatts, Fewer Is BetterY-Cruncher 0.8.3CPU Power Consumption Monitor2004006008001000

ACES DGEMM

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601264618679Zen 4C - EPYC 8534PN12113175OpenBenchmarking.orgWatts, Fewer Is BetterACES DGEMM 1.0CPU Power Consumption Monitor2004006008001000

Timed MrBayes Analysis

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterTimed MrBayes Analysis 3.2.7CPU Power Consumption MonitorZen 1 - EPYC 7601Zen 4C - EPYC 8534PN130260390520650Min: 255.46 / Avg: 673.45 / Max: 711.35Min: 13.87 / Avg: 158.85 / Max: 169.15

Blender

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601261677715Zen 4C - EPYC 8534PN14136169OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption Monitor2004006008001000

Blender

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601263696717Zen 4C - EPYC 8534PN15150169OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption Monitor2004006008001000

Blender

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601265681714Zen 4C - EPYC 8534PN15147171OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption Monitor2004006008001000

Blender

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601264698715Zen 4C - EPYC 8534PN15152171OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption Monitor2004006008001000

Blender

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption MonitorZen 1 - EPYC 7601Zen 4C - EPYC 8534PN130260390520650Min: 263.91 / Avg: 701.51 / Max: 715.33Min: 14.68 / Avg: 156.64 / Max: 175.71

Embree

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601266649712Zen 4C - EPYC 8534PN15123180OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.3CPU Power Consumption Monitor2004006008001000

Embree

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601265660715Zen 4C - EPYC 8534PN14131178OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.3CPU Power Consumption Monitor2004006008001000

Intel Open Image Denoise

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601263656700Zen 4C - EPYC 8534PN14123153OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 2.1CPU Power Consumption Monitor2004006008001000

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601263579715Zen 4C - EPYC 8534PN14128164OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor2004006008001000

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601264631714Zen 4C - EPYC 8534PN14111163OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor2004006008001000

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601263664715Zen 4C - EPYC 8534PN14130163OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor2004006008001000

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601146579715Zen 4C - EPYC 8534PN14129165OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor2004006008001000

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601262638714Zen 4C - EPYC 8534PN14117164OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor2004006008001000

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601261670715Zen 4C - EPYC 8534PN15134164OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor2004006008001000

OSPRay

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601163621710Zen 4C - EPYC 8534PN14148176OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor2004006008001000

OSPRay

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601264621710Zen 4C - EPYC 8534PN14148175OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor2004006008001000

OSPRay

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601263635708Zen 4C - EPYC 8534PN14143171OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor2004006008001000

OSPRay

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601265681703Zen 4C - EPYC 8534PN14164173OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor2004006008001000

OSPRay

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601263623704Zen 4C - EPYC 8534PN14136173OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor2004006008001000

OSPRay

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601262607699Zen 4C - EPYC 8534PN14142174OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor2004006008001000

Chaos Group V-RAY

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601259584716Zen 4C - EPYC 8534PN14132176OpenBenchmarking.orgWatts, Fewer Is BetterChaos Group V-RAY 5.02CPU Power Consumption Monitor2004006008001000

IndigoBench

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601263666719Zen 4C - EPYC 8534PN14132171OpenBenchmarking.orgWatts, Fewer Is BetterIndigoBench 4.4CPU Power Consumption Monitor2004006008001000

IndigoBench

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601263662717Zen 4C - EPYC 8534PN14151166OpenBenchmarking.orgWatts, Fewer Is BetterIndigoBench 4.4CPU Power Consumption Monitor2004006008001000

FFmpeg

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601261.5334.7472.2Zen 4C - EPYC 8534PN13.757.678.3OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor120240360480600

FFmpeg

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601251.3338.9555.2Zen 4C - EPYC 8534PN13.157.890.5OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor140280420560700

FFmpeg

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601178.8350.2501.8Zen 4C - EPYC 8534PN13.161.579.3OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor130260390520650

FFmpeg

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601251.1348.9503.6Zen 4C - EPYC 8534PN12.861.578.9OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor130260390520650

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601250387643Zen 4C - EPYC 8534PN1352123OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor2004006008001000

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601144400660Zen 4C - EPYC 8534PN1351122OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor2004006008001000

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601262502689Zen 4C - EPYC 8534PN1374129OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor2004006008001000

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601254498687Zen 4C - EPYC 8534PN1377134OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor2004006008001000

rav1e

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601252.3344.6364.8Zen 4C - EPYC 8534PN12.554.759.1OpenBenchmarking.orgWatts, Fewer Is Betterrav1e 0.7CPU Power Consumption Monitor100200300400500

rav1e

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601258.0367.6413.4Zen 4C - EPYC 8534PN12.654.362.3OpenBenchmarking.orgWatts, Fewer Is Betterrav1e 0.7CPU Power Consumption Monitor110220330440550

rav1e

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601265.3372.5499.9Zen 4C - EPYC 8534PN12.955.068.3OpenBenchmarking.orgWatts, Fewer Is Betterrav1e 0.7CPU Power Consumption Monitor130260390520650

rav1e

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601220.0426.6553.3Zen 4C - EPYC 8534PN12.862.381.6OpenBenchmarking.orgWatts, Fewer Is Betterrav1e 0.7CPU Power Consumption Monitor140280420560700

x265

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601263.4516.7606.4Zen 4C - EPYC 8534PN13.176.798.8OpenBenchmarking.orgWatts, Fewer Is Betterx265 3.4CPU Power Consumption Monitor160320480640800

uvg266

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601257656705Zen 4C - EPYC 8534PN13127152OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor2004006008001000

uvg266

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601260613686Zen 4C - EPYC 8534PN14111151OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor2004006008001000

uvg266

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601264618689Zen 4C - EPYC 8534PN14110151OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor2004006008001000

uvg266

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601264589673Zen 4C - EPYC 8534PN13100137OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor2004006008001000

VVenC

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601159513706Zen 4C - EPYC 8534PN1391137OpenBenchmarking.orgWatts, Fewer Is BetterVVenC 1.9CPU Power Consumption Monitor2004006008001000

VVenC

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601261519649Zen 4C - EPYC 8534PN1488122OpenBenchmarking.orgWatts, Fewer Is BetterVVenC 1.9CPU Power Consumption Monitor2004006008001000

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601257592660Zen 4C - EPYC 8534PN14148164OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor2004006008001000

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601259630678Zen 4C - EPYC 8534PN14140152OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor2004006008001000

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601260668708Zen 4C - EPYC 8534PN15150168OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor2004006008001000

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601262601630Zen 4C - EPYC 8534PN15153164OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor2004006008001000

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601261616662Zen 4C - EPYC 8534PN14147159OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor2004006008001000

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601260660708Zen 4C - EPYC 8534PN15139153OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor2004006008001000

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601261665708Zen 4C - EPYC 8534PN14152170OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor2004006008001000

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601262604653Zen 4C - EPYC 8534PN14149161OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor2004006008001000

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601260670709Zen 4C - EPYC 8534PN15163176OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor2004006008001000

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601262614672Zen 4C - EPYC 8534PN15144157OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor2004006008001000

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601260558711Zen 4C - EPYC 8534PN14117155OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor2004006008001000

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601261604711Zen 4C - EPYC 8534PN14132162OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor2004006008001000

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601261636712Zen 4C - EPYC 8534PN14135157OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor2004006008001000

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601262572712Zen 4C - EPYC 8534PN14133176OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor2004006008001000

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601260632709Zen 4C - EPYC 8534PN14145170OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor2004006008001000

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601263635709Zen 4C - EPYC 8534PN14144169OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor2004006008001000

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601261572712Zen 4C - EPYC 8534PN14133175OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor2004006008001000

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601264582695Zen 4C - EPYC 8534PN14135164OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor2004006008001000

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601259630707Zen 4C - EPYC 8534PN14127148OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor2004006008001000

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601268452713Zen 4C - EPYC 8534PN1498173OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor2004006008001000

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601265568712Zen 4C - EPYC 8534PN14120157OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor2004006008001000

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601262.6524.0574.5Zen 4C - EPYC 8534PN13.684.2118.3OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor140280420560700

PyTorch

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601263620701Zen 4C - EPYC 8534PN136699OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor2004006008001000

PyTorch

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601261653699Zen 4C - EPYC 8534PN1393106OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor2004006008001000

Xmrig

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601264649683Zen 4C - EPYC 8534PN14148165OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor2004006008001000

Xmrig

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601264662706Zen 4C - EPYC 8534PN15153180OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor2004006008001000

Xmrig

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption MonitorZen 1 - EPYC 7601Zen 4C - EPYC 8534PN120240360480600Min: 227.27 / Avg: 643.82 / Max: 681.92Min: 14.85 / Avg: 151.18 / Max: 167.35

Xmrig

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601266645679Zen 4C - EPYC 8534PN15152168OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor2004006008001000

Xmrig

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption MonitorZen 1 - EPYC 7601Zen 4C - EPYC 8534PN120240360480600Min: 266.23 / Avg: 644.06 / Max: 679.56Min: 14.84 / Avg: 152.68 / Max: 167.62

Xmrig

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption MonitorZen 1 - EPYC 7601Zen 4C - EPYC 8534PN100200300400500Min: 265.39 / Avg: 559.12 / Max: 586.02Min: 14.85 / Avg: 124.14 / Max: 127.72


Phoronix Test Suite v10.8.5