AMD EPYC Zen 1

AMD EPYC 7601 32-Core testing with a TYAN B8026T70AE24HR (V1.02.B10 BIOS) and llvmpipe on Ubuntu 23.10 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2401081-NE-AMDEPYCZE16&grw.

AMD EPYC Zen 1ProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionZen 1 - EPYC 7601AMD 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 13.2.0ext41920x1080OpenBenchmarking.org- Transparent Huge Pages: madvise- --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 - Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x800126e - OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu123.10)- Python 3.11.6- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Mitigation of untrained return thunk; SMT vulnerable + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional STIBP: disabled RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

AMD EPYC Zen 1xmrig: Monero - 1Mxmrig: Wownero - 1Mxmrig: CryptoNight-Femto UPX2 - 1Mxmrig: CryptoNight-Heavy - 1Mquicksilver: CORAL2 P2xmrig: KawPow - 1Mxmrig: GhostRider - 1Mquantlib: Multi-Threadedminibude: OpenMP - BM1minibude: OpenMP - BM1minibude: OpenMP - BM2minibude: OpenMP - BM2openradioss: Chrysler Neon 1Mmrbayes: Primate Phylogeny Analysistensorflow: CPU - 16 - ResNet-50cloverleaf: clover_bm64_shorty-cruncher: 500Mquicksilver: CTS2y-cruncher: 1Bcloverleaf: clover_bm16deepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamquicksilver: CORAL2 P1specfem3d: Layered Halfspacedeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: ResNet-50, Baseline - Asynchronous Multi-Streamdeepsparse: ResNet-50, Baseline - Asynchronous Multi-Streameasywave: e2Asean Grid + BengkuluSept2007 Source - 1200deepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Streameasywave: e2Asean Grid + BengkuluSept2007 Source - 2400deepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Streampytorch: CPU - 1 - ResNet-50pytorch: CPU - 256 - ResNet-50gromacs: MPI CPU - water_GMX50_barelammps: 20k Atomsnamd: ATPase Simulation - 327,506 Atomsopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUspecfem3d: Homogeneous Halfspacespecfem3d: Mount St. Helensspecfem3d: Tomographic Modelopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUspecfem3d: Water-layered Halfspaceopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUmt-dgemm: Sustained Floating-Point Ratekripke: openfoam: drivaerFastback, Small Mesh Size - Mesh Timeopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timeopenfoam: drivaerFastback, Medium Mesh Size - Execution Timeincompact3d: input.i3d 193 Cells Per Directionincompact3d: X3D-benchmarking input.i3dgpaw: Carbon Nanotubebuild-ffmpeg: Time To Compilecompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingbuild-llvm: Ninjabuild-llvm: Unix Makefilesbuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigsvt-av1: Preset 13 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 4 - Bosphorus 4Kx265: Bosphorus 4Kv-ray: CPUblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyblender: Barbershop - CPU-Onlyffmpeg: libx265 - Liveffmpeg: libx265 - Uploadffmpeg: libx265 - Platformffmpeg: libx265 - Video On Demanduvg266: Bosphorus 4K - Mediumuvg266: Bosphorus 4K - Very Fastuvg266: Bosphorus 4K - Super Fastuvg266: Bosphorus 4K - Ultra Fastvvenc: Bosphorus 4K - Fastvvenc: Bosphorus 4K - Fasterrav1e: 10rav1e: 6rav1e: 5rav1e: 1embree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Crownoidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlyindigobench: CPU - Supercarindigobench: CPU - Bedroomospray: 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_timeospray-studio: 1 - 4K - 1 - Path Tracer - CPUospray-studio: 1 - 4K - 16 - Path Tracer - CPUospray-studio: 1 - 4K - 32 - Path Tracer - CPUospray-studio: 3 - 4K - 1 - Path Tracer - CPUospray-studio: 3 - 4K - 16 - Path Tracer - CPUospray-studio: 3 - 4K - 32 - Path Tracer - CPUbuild-gem5: Time To Compilebuild-nodejs: Time To Compileduckdb: IMDBduckdb: TPC-H Parquetspeedb: Rand Readspeedb: Read While Writingspeedb: Read Rand Write Randspeedb: Update Randnginx: 500nginx: 1000apache: 1000openssl: RSA4096openssl: RSA4096openssl: SHA256openssl: SHA512openssl: AES-128-GCMopenssl: AES-256-GCMopenssl: ChaCha20openssl: ChaCha20-Poly1305apache-iotdb: 500 - 100 - 200 - 100apache-iotdb: 500 - 100 - 200 - 100apache-iotdb: 500 - 100 - 200 - 400apache-iotdb: 500 - 100 - 200 - 400apache-iotdb: 500 - 100 - 500 - 100apache-iotdb: 500 - 100 - 500 - 100apache-iotdb: 500 - 100 - 500 - 400apache-iotdb: 500 - 100 - 500 - 400apache-iotdb: 500 - 100 - 800 - 100apache-iotdb: 500 - 100 - 800 - 100apache-iotdb: 500 - 100 - 800 - 400apache-iotdb: 500 - 100 - 800 - 400apache-iotdb: 800 - 100 - 200 - 100apache-iotdb: 800 - 100 - 200 - 100apache-iotdb: 800 - 100 - 200 - 400apache-iotdb: 800 - 100 - 200 - 400apache-iotdb: 800 - 100 - 500 - 100apache-iotdb: 800 - 100 - 500 - 100apache-iotdb: 800 - 100 - 500 - 400apache-iotdb: 800 - 100 - 500 - 400apache-iotdb: 800 - 100 - 800 - 100apache-iotdb: 800 - 100 - 800 - 100apache-iotdb: 800 - 100 - 800 - 400apache-iotdb: 800 - 100 - 800 - 400memtier-benchmark: Redis - 100 - 1:10memtier-benchmark: Redis - 100 - 1:5rocksdb: Rand Readrocksdb: Read While Writingrocksdb: Read Rand Write Randrocksdb: Update Randcassandra: WritesZen 1 - EPYC 76017044.210414.76957.27081.0150133336937.91070.164481.7356.12214.245355.50114.220499.30201.1829.82108.6015.6931142666733.923971.50260.249661.393490.6624176.4317144.6829110.44841299666778.67990438410.75451457.915570.3395226.951870.5586226.374410.80701460.70419.29921701.3747142.7964111.8988148.077155.7019102.6582352.68713.25971200.1003131.7605121.209326.7221.211.99213.8720.979593.822094.2138.06317925029.95188620330.28359304013011.102.4343.91181.9274.950625896377.4084.68295.8027.01471.3816.9541.32193.33877.499.1189.05169.04149.4953.473.79079918737593344.44531126.1908231.744461179.254137.4064191818.054118142.16539.789123934134417435.054529.71776.300755.01767.93470.52526.2523.06014.522017573.00192.80101.20247.24767.1558.2310.3921.0321.048.7322.2723.4427.213.2916.4936.9712.9372.2490.56321.831518.36130.488.5803.9912.578292.466924.148415.289315.2211698.4413847814552828060610050171188331643388.023387.652199.014245.7428686704161456791436074201555103269.83100664.3588038.284510.7293924.1270568304008316184170976450094878994842869747920025967303154906903871226346.2938176456166.005375994085.0752849125294.7558774090127.2659444334421.304604958939.4045921074147.895699381182.0757037441318.2458403756129.7760237625488.641183656.971142464.168479820433718761509184290618152887OpenBenchmarking.org

Xmrig

Variant: Monero - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: Monero - Hash Count: 1MZen 1 - EPYC 760115003000450060007500SE +/- 58.63, N = 37044.21. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Xmrig

Variant: Wownero - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: Wownero - Hash Count: 1MZen 1 - EPYC 76012K4K6K8K10KSE +/- 27.32, N = 310414.71. (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 760115003000450060007500SE +/- 75.94, N = 126957.21. (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 760115003000450060007500SE +/- 21.41, N = 37081.01. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Quicksilver

Input: CORAL2 P2

OpenBenchmarking.orgFigure Of Merit, More Is BetterQuicksilver 20230818Input: CORAL2 P2Zen 1 - EPYC 76013M6M9M12M15MSE +/- 37118.43, N = 3150133331. (CXX) g++ options: -fopenmp -O3 -march=native

Xmrig

Variant: KawPow - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: KawPow - Hash Count: 1MZen 1 - EPYC 760115003000450060007500SE +/- 60.77, N = 126937.91. (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 76012004006008001000SE +/- 6.67, N = 31070.11. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

QuantLib

Configuration: Multi-Threaded

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedZen 1 - EPYC 760114K28K42K56K70KSE +/- 8.17, N = 364481.71. (CXX) g++ options: -O3 -march=native -fPIE -pie

miniBUDE

Implementation: OpenMP - Input Deck: BM1

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1Zen 1 - EPYC 760180160240320400SE +/- 0.94, N = 3356.121. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

miniBUDE

Implementation: OpenMP - Input Deck: BM1

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1Zen 1 - EPYC 760148121620SE +/- 0.04, N = 314.251. (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 760180160240320400SE +/- 0.27, N = 3355.501. (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 760148121620SE +/- 0.01, N = 314.221. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

OpenRadioss

Model: Chrysler Neon 1M

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Chrysler Neon 1MZen 1 - EPYC 7601110220330440550SE +/- 0.62, N = 3499.30

Timed MrBayes Analysis

Primate Phylogeny Analysis

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MrBayes Analysis 3.2.7Primate Phylogeny AnalysisZen 1 - EPYC 76014080120160200SE +/- 4.88, N = 12201.181. (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

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 76013691215SE +/- 0.04, N = 39.82

CloverLeaf

Input: clover_bm64_short

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm64_shortZen 1 - EPYC 760120406080100SE +/- 1.39, N = 3108.601. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

Y-Cruncher

Pi Digits To Calculate: 500M

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.3Pi Digits To Calculate: 500MZen 1 - EPYC 760148121620SE +/- 0.12, N = 315.69

Quicksilver

Input: CTS2

OpenBenchmarking.orgFigure Of Merit, More Is BetterQuicksilver 20230818Input: CTS2Zen 1 - EPYC 76012M4M6M8M10MSE +/- 16666.67, N = 3114266671. (CXX) g++ options: -fopenmp -O3 -march=native

Y-Cruncher

Pi Digits To Calculate: 1B

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.3Pi Digits To Calculate: 1BZen 1 - EPYC 7601816243240SE +/- 0.09, N = 333.92

CloverLeaf

Input: clover_bm16

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm16Zen 1 - EPYC 76012004006008001000SE +/- 1.74, N = 3971.501. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

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 760160120180240300SE +/- 1.56, N = 3260.25

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 76011428425670SE +/- 0.36, N = 361.39

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 760120406080100SE +/- 0.85, N = 690.66

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 76014080120160200SE +/- 1.64, N = 6176.43

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 7601306090120150SE +/- 0.49, N = 3144.68

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 760120406080100SE +/- 0.40, N = 3110.45

Quicksilver

Input: CORAL2 P1

OpenBenchmarking.orgFigure Of Merit, More Is BetterQuicksilver 20230818Input: CORAL2 P1Zen 1 - EPYC 76013M6M9M12M15MSE +/- 66916.20, N = 3129966671. (CXX) g++ options: -fopenmp -O3 -march=native

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

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 76013691215SE +/- 0.04, N = 310.75

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 760130060090012001500SE +/- 5.55, N = 31457.92

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 76011632486480SE +/- 0.21, N = 370.34

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 760150100150200250SE +/- 0.66, N = 3226.95

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 76011632486480SE +/- 0.11, N = 370.56

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 760150100150200250SE +/- 0.35, N = 3226.37

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 76013691215SE +/- 0.07, N = 310.81

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 760130060090012001500SE +/- 2.60, N = 31460.70

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 76013691215SE +/- 0.0191, N = 39.2992

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 7601400800120016002000SE +/- 3.29, N = 31701.37

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 7601306090120150SE +/- 1.66, N = 3142.80

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 7601306090120150SE +/- 1.29, N = 3111.90

easyWave

Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200

OpenBenchmarking.orgSeconds, Fewer Is BettereasyWave r34Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200Zen 1 - EPYC 7601306090120150SE +/- 1.77, N = 4148.081. (CXX) g++ options: -O3 -fopenmp

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 7601306090120150SE +/- 0.49, N = 3155.70

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 760120406080100SE +/- 0.30, N = 3102.66

easyWave

Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400

OpenBenchmarking.orgSeconds, Fewer Is BettereasyWave r34Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400Zen 1 - EPYC 760180160240320400SE +/- 6.02, N = 6352.691. (CXX) g++ options: -O3 -fopenmp

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 76013691215SE +/- 0.06, N = 313.26

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 760130060090012001500SE +/- 3.61, N = 31200.10

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 7601306090120150SE +/- 1.27, N = 3131.76

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 7601306090120150SE +/- 1.16, N = 3121.21

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 7601612182430SE +/- 0.12, N = 326.72MIN: 15.15 / MAX: 28.15

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 7601510152025SE +/- 0.22, N = 321.21MIN: 13.9 / MAX: 22.04

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

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsZen 1 - EPYC 760148121620SE +/- 0.05, N = 313.871. (CXX) g++ options: -O3 -lm -ldl

NAMD

ATPase Simulation - 327,506 Atoms

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsZen 1 - EPYC 76010.22040.44080.66120.88161.102SE +/- 0.00385, N = 30.97959

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection FP16-INT8 - Device: CPUZen 1 - EPYC 76010.85951.7192.57853.4384.2975SE +/- 0.00, N = 33.821. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection FP16-INT8 - Device: CPUZen 1 - EPYC 7601400800120016002000SE +/- 0.06, N = 32094.21MIN: 2092.79 / MAX: 2112.411. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

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

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 76013K6K9K12K15KSE +/- 3.60, N = 313011.101. (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 76010.54681.09361.64042.18722.734SE +/- 0.00, N = 32.43MIN: 2.39 / MAX: 10.021. (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 76011020304050SE +/- 0.09, N = 343.911. (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 76014080120160200SE +/- 0.36, N = 3181.92MIN: 171.42 / MAX: 202.331. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

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

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 760180160240320400SE +/- 0.02, N = 3377.401. (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 760120406080100SE +/- 0.00, N = 384.68MIN: 84.05 / MAX: 93.441. (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 760160120180240300SE +/- 0.35, N = 3295.801. (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 7601612182430SE +/- 0.03, N = 327.01MIN: 26.86 / MAX: 38.571. (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 7601100200300400500SE +/- 1.63, N = 3471.381. (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 760148121620SE +/- 0.06, N = 316.95MIN: 16.19 / MAX: 27.981. (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 7601918273645SE +/- 0.10, N = 341.321. (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 76014080120160200SE +/- 0.49, N = 3193.33MIN: 178.13 / MAX: 252.211. (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 76012004006008001000SE +/- 0.26, N = 3877.491. (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 76013691215SE +/- 0.00, N = 39.1MIN: 9.04 / MAX: 17.251. (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 76014080120160200SE +/- 0.70, N = 3189.051. (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 76014080120160200SE +/- 0.65, N = 3169.04MIN: 141.74 / MAX: 192.161. (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 7601306090120150SE +/- 0.14, N = 3149.491. (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 76011224364860SE +/- 0.05, N = 353.47MIN: 52.68 / MAX: 66.731. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

ACES DGEMM

Sustained Floating-Point Rate

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateZen 1 - EPYC 76010.85291.70582.55873.41164.2645SE +/- 0.057778, N = 153.7907991. (CC) gcc options: -O3 -march=native -fopenmp

Kripke

OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.6Zen 1 - EPYC 760140M80M120M160M200MSE +/- 1601742.67, N = 31873759331. (CXX) g++ options: -O3 -fopenmp -ldl

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Mesh Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Mesh TimeZen 1 - EPYC 7601102030405044.451. (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 7601306090120150126.191. (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 760150100150200250231.741. (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 7601300600900120015001179.251. (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

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 7601918273645SE +/- 0.22, N = 337.411. (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 76012004006008001000SE +/- 0.24, N = 3818.051. (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

GPAW

Input: Carbon Nanotube

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 23.6Input: Carbon NanotubeZen 1 - EPYC 7601306090120150SE +/- 0.91, N = 3142.171. (CC) gcc options: -shared -fwrapv -O2 -lxc -lblas -lmpi

Timed FFmpeg Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 6.1Time To CompileZen 1 - EPYC 7601918273645SE +/- 0.10, N = 339.79

7-Zip Compression

Test: Compression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingZen 1 - EPYC 760130K60K90K120K150KSE +/- 1034.27, N = 31239341. (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 760130K60K90K120K150KSE +/- 1450.84, N = 31344171. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

Timed LLVM Compilation

Build System: Ninja

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: NinjaZen 1 - EPYC 760190180270360450SE +/- 1.49, N = 3435.05

Timed LLVM Compilation

Build System: Unix Makefiles

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Unix MakefilesZen 1 - EPYC 7601110220330440550SE +/- 1.95, N = 3529.72

Timed Linux Kernel Compilation

Build: defconfig

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfigZen 1 - EPYC 760120406080100SE +/- 0.88, N = 376.30

Timed Linux Kernel Compilation

Build: allmodconfig

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfigZen 1 - EPYC 7601160320480640800SE +/- 0.57, N = 3755.02

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 76011530456075SE +/- 2.72, N = 1267.931. (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 76011632486480SE +/- 0.80, N = 1570.531. (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 7601612182430SE +/- 0.17, N = 326.251. (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 76010.68851.3772.06552.7543.4425SE +/- 0.011, N = 33.0601. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

x265

Video Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KZen 1 - EPYC 760148121620SE +/- 0.17, N = 414.521. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

Chaos Group V-RAY

Mode: CPU

OpenBenchmarking.orgvsamples, More Is BetterChaos Group V-RAY 5.02Mode: CPUZen 1 - EPYC 76014K8K12K16K20KSE +/- 15.72, N = 320175

Blender

Blend File: BMW27 - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: BMW27 - Compute: CPU-OnlyZen 1 - EPYC 76011632486480SE +/- 0.35, N = 373.00

Blender

Blend File: Classroom - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Classroom - Compute: CPU-OnlyZen 1 - EPYC 76014080120160200SE +/- 1.40, N = 3192.80

Blender

Blend File: Fishy Cat - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Fishy Cat - Compute: CPU-OnlyZen 1 - EPYC 760120406080100SE +/- 0.13, N = 3101.20

Blender

Blend File: Pabellon Barcelona - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Pabellon Barcelona - Compute: CPU-OnlyZen 1 - EPYC 760150100150200250SE +/- 0.13, N = 3247.24

Blender

Blend File: Barbershop - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Barbershop - Compute: CPU-OnlyZen 1 - EPYC 7601170340510680850SE +/- 0.52, N = 3767.15

FFmpeg

Encoder: libx265 - Scenario: Live

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: LiveZen 1 - EPYC 76011326395265SE +/- 0.07, N = 358.231. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

FFmpeg

Encoder: libx265 - Scenario: Upload

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: UploadZen 1 - EPYC 76013691215SE +/- 0.00, N = 310.391. (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 7601510152025SE +/- 0.02, N = 321.031. (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 7601510152025SE +/- 0.00, N = 321.041. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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 7601246810SE +/- 0.04, N = 38.73

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 7601510152025SE +/- 0.08, N = 322.27

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 7601612182430SE +/- 0.01, N = 323.44

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 7601612182430SE +/- 0.04, N = 327.21

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 76010.74051.4812.22152.9623.7025SE +/- 0.034, N = 33.2911. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

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 7601246810SE +/- 0.018, N = 36.4931. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

rav1e

Speed: 10

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.7Speed: 10Zen 1 - EPYC 7601246810SE +/- 0.080, N = 36.971

rav1e

Speed: 6

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.7Speed: 6Zen 1 - EPYC 76010.66081.32161.98242.64323.304SE +/- 0.003, N = 32.937

rav1e

Speed: 5

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.7Speed: 5Zen 1 - EPYC 76010.5061.0121.5182.0242.53SE +/- 0.014, N = 32.249

rav1e

Speed: 1

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.7Speed: 1Zen 1 - EPYC 76010.12670.25340.38010.50680.6335SE +/- 0.001, N = 30.563

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonZen 1 - EPYC 7601510152025SE +/- 0.05, N = 321.83MIN: 21.6 / MAX: 22.16

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownZen 1 - EPYC 7601510152025SE +/- 0.09, N = 318.36MIN: 18.01 / MAX: 18.84

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 76010.1080.2160.3240.4320.54SE +/- 0.00, N = 30.48

IndigoBench

Acceleration: CPU - Scene: Supercar

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarZen 1 - EPYC 7601246810SE +/- 0.050, N = 38.580

IndigoBench

Acceleration: CPU - Scene: Bedroom

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: BedroomZen 1 - EPYC 76010.8981.7962.6943.5924.49SE +/- 0.022, N = 33.991

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 76010.58011.16021.74032.32042.9005SE +/- 0.00282, N = 32.57829

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 76010.55511.11021.66532.22042.7755SE +/- 0.01722, N = 32.46692

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 76010.93341.86682.80023.73364.667SE +/- 0.01550, N = 34.14841

OSPRay

Benchmark: particle_volume/ao/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/ao/real_timeZen 1 - EPYC 76011.19012.38023.57034.76045.9505SE +/- 0.01171, N = 35.28931

OSPRay

Benchmark: particle_volume/scivis/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/scivis/real_timeZen 1 - EPYC 76011.17482.34963.52444.69925.874SE +/- 0.00822, N = 35.22116

OSPRay

Benchmark: particle_volume/pathtracer/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/pathtracer/real_timeZen 1 - EPYC 760120406080100SE +/- 0.08, N = 398.44

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 76012K4K6K8K10KSE +/- 16.50, N = 38478

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 760130K60K90K120K150KSE +/- 81.84, N = 3145528

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 760160K120K180K240K300KSE +/- 353.76, N = 3280606

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 76012K4K6K8K10KSE +/- 34.23, N = 310050

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 760140K80K120K160K200KSE +/- 133.22, N = 3171188

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 760170K140K210K280K350KSE +/- 188.22, N = 3331643

Timed Gem5 Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Gem5 Compilation 23.0.1Time To CompileZen 1 - EPYC 760180160240320400SE +/- 4.50, N = 3388.02

Timed Node.js Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 19.8.1Time To CompileZen 1 - EPYC 760180160240320400SE +/- 0.64, N = 3387.65

DuckDB

Benchmark: IMDB

OpenBenchmarking.orgSeconds, Fewer Is BetterDuckDB 0.9.1Benchmark: IMDBZen 1 - EPYC 76014080120160200SE +/- 0.56, N = 3199.011. (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 760150100150200250SE +/- 0.21, N = 3245.741. (CXX) g++ options: -O3 -rdynamic -lssl -lcrypto -ldl

Speedb

Test: Random Read

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Random ReadZen 1 - EPYC 760120M40M60M80M100MSE +/- 795244.11, N = 3868670411. (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 76011.3M2.6M3.9M5.2M6.5MSE +/- 67628.42, N = 361456791. (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 7601300K600K900K1200K1500KSE +/- 1989.50, N = 314360741. (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 760140K80K120K160K200KSE +/- 239.59, N = 32015551. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

nginx

Connections: 500

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 500Zen 1 - EPYC 760120K40K60K80K100KSE +/- 450.48, N = 3103269.831. (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 760120K40K60K80K100KSE +/- 212.46, N = 3100664.351. (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 760120K40K60K80K100KSE +/- 319.15, N = 388038.281. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096Zen 1 - EPYC 760110002000300040005000SE +/- 8.66, N = 34510.71. (CC) gcc options: -pthread -m64 -O3 -ldl

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096Zen 1 - EPYC 760160K120K180K240K300KSE +/- 361.69, N = 3293924.11. (CC) gcc options: -pthread -m64 -O3 -ldl

OpenSSL

Algorithm: SHA256

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA256Zen 1 - EPYC 76016000M12000M18000M24000M30000MSE +/- 48383276.04, N = 3270568304001. (CC) gcc options: -pthread -m64 -O3 -ldl

OpenSSL

Algorithm: SHA512

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA512Zen 1 - EPYC 76012000M4000M6000M8000M10000MSE +/- 6971539.66, N = 383161841701. (CC) gcc options: -pthread -m64 -O3 -ldl

OpenSSL

Algorithm: AES-128-GCM

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-128-GCMZen 1 - EPYC 760120000M40000M60000M80000M100000MSE +/- 101833027.65, N = 3976450094871. (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 760120000M40000M60000M80000M100000MSE +/- 95870018.66, N = 3899484286971. (CC) gcc options: -pthread -m64 -O3 -ldl

OpenSSL

Algorithm: ChaCha20

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20Zen 1 - EPYC 760110000M20000M30000M40000M50000MSE +/- 23640894.78, N = 3479200259671. (CC) gcc options: -pthread -m64 -O3 -ldl

OpenSSL

Algorithm: ChaCha20-Poly1305

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20-Poly1305Zen 1 - EPYC 76016000M12000M18000M24000M30000MSE +/- 12075597.72, N = 3303154906901. (CC) gcc options: -pthread -m64 -O3 -ldl

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 76018M16M24M32M40MSE +/- 524500.20, N = 338712263

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 76011020304050SE +/- 0.62, N = 346.29MAX: 12751.47

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 76018M16M24M32M40MSE +/- 325879.11, N = 838176456

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 76014080120160200SE +/- 1.86, N = 8166.00MAX: 27445.2

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 760112M24M36M48M60MSE +/- 175336.13, N = 353759940

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 760120406080100SE +/- 0.50, N = 385.07MAX: 11426.59

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 760111M22M33M44M55MSE +/- 507374.51, N = 352849125

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 760160120180240300SE +/- 3.57, N = 3294.75MAX: 29204.63

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 760113M26M39M52M65MSE +/- 85534.45, N = 358774090

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 7601306090120150SE +/- 0.22, N = 3127.26MAX: 10220.3

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 760113M26M39M52M65MSE +/- 470631.65, N = 359444334

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 760190180270360450SE +/- 5.76, N = 3421.30MAX: 27834.33

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 760110M20M30M40M50MSE +/- 405601.66, N = 346049589

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 7601918273645SE +/- 0.33, N = 339.40MAX: 23930.49

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 760110M20M30M40M50MSE +/- 330018.02, N = 345921074

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 7601306090120150SE +/- 1.86, N = 3147.89MAX: 27830.18

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 760112M24M36M48M60MSE +/- 197187.95, N = 356993811

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 760120406080100SE +/- 0.21, N = 382.07MAX: 23993.13

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 760112M24M36M48M60MSE +/- 596691.26, N = 557037441

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 760170140210280350SE +/- 4.76, N = 5318.24MAX: 28518.21

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 760113M26M39M52M65MSE +/- 295389.20, N = 358403756

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 7601306090120150SE +/- 0.61, N = 3129.77MAX: 23980.17

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 760113M26M39M52M65MSE +/- 138623.83, N = 360237625

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 7601110220330440550SE +/- 3.72, N = 3488.64MAX: 28615.16

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 7601300K600K900K1200K1500KSE +/- 1850.76, N = 31183656.971. (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 7601200K400K600K800K1000KSE +/- 8571.80, N = 111142464.161. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

RocksDB

Test: Random Read

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Random ReadZen 1 - EPYC 760120M40M60M80M100MSE +/- 416491.60, N = 3847982041. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

RocksDB

Test: Read While Writing

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Read While WritingZen 1 - EPYC 7601700K1400K2100K2800K3500KSE +/- 34108.45, N = 333718761. (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 7601300K600K900K1200K1500KSE +/- 4649.81, N = 315091841. (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 760160K120K180K240K300KSE +/- 737.50, N = 32906181. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Apache Cassandra

Test: Writes

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.1.3Test: WritesZen 1 - EPYC 760130K60K90K120K150KSE +/- 702.01, N = 3152887

nginx

Connections: 500

OpenBenchmarking.orgRequests Per Second Per Watt, More Is Betternginx 1.23.2Connections: 500Zen 1 - EPYC 7601306090120150153.16

nginx

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601240674714OpenBenchmarking.orgWatts, Fewer Is Betternginx 1.23.2CPU Power Consumption Monitor2004006008001000

nginx

Connections: 1000

OpenBenchmarking.orgRequests Per Second Per Watt, More Is Betternginx 1.23.2Connections: 1000Zen 1 - EPYC 7601306090120150148.96

nginx

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601258676713OpenBenchmarking.orgWatts, Fewer Is Betternginx 1.23.2CPU Power Consumption Monitor2004006008001000

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgverify/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: RSA4096Zen 1 - EPYC 760190180270360450432.83

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601262679712OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor2004006008001000

OpenSSL

Algorithm: SHA256

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: SHA256Zen 1 - EPYC 76018M16M24M32M40M38850033.87

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601261696713OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor2004006008001000

OpenSSL

Algorithm: SHA512

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: SHA512Zen 1 - EPYC 76013M6M9M12M15M11909195.29

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601264698712OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor2004006008001000

OpenSSL

Algorithm: AES-128-GCM

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: AES-128-GCMZen 1 - EPYC 760130M60M90M120M150M139836719.65

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601264698712OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor2004006008001000

OpenSSL

Algorithm: AES-256-GCM

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: AES-256-GCMZen 1 - EPYC 760130M60M90M120M150M128846358.68

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601264698712OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor2004006008001000

OpenSSL

Algorithm: ChaCha20

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: ChaCha20Zen 1 - EPYC 760115M30M45M60M75M69962511.27

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601265685711OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor2004006008001000

OpenSSL

Algorithm: ChaCha20-Poly1305

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: ChaCha20-Poly1305Zen 1 - EPYC 76019M18M27M36M45M44247682.05

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601265685711OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor2004006008001000

Apache HTTP Server

Concurrent Requests: 1000

OpenBenchmarking.orgRequests Per Second Per Watt, More Is BetterApache HTTP Server 2.4.56Concurrent Requests: 1000Zen 1 - EPYC 7601306090120150132.65

Apache HTTP Server

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601263664709OpenBenchmarking.orgWatts, Fewer Is BetterApache HTTP Server 2.4.56CPU Power Consumption Monitor2004006008001000

Apache IoTDB

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601259383699OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor2004006008001000

Apache IoTDB

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601259390699OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor2004006008001000

Apache IoTDB

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601251458697OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor2004006008001000

Apache IoTDB

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601253452694OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor2004006008001000

Apache IoTDB

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601252497735OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor2004006008001000

Apache IoTDB

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601253496697OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor2004006008001000

Apache IoTDB

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601252418700OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor2004006008001000

Apache IoTDB

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601252418695OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor2004006008001000

Apache IoTDB

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601252498718OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor2004006008001000

Apache IoTDB

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601252501692OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor2004006008001000

Apache IoTDB

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601252535699OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor2004006008001000

Apache IoTDB

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601254530790OpenBenchmarking.orgWatts, Fewer Is BetterApache IoTDB 1.2CPU Power Consumption Monitor2004006008001000

DuckDB

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601211.1418.3590.5OpenBenchmarking.orgWatts, Fewer Is BetterDuckDB 0.9.1CPU Power Consumption Monitor160320480640800

DuckDB

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601262.0320.9559.4OpenBenchmarking.orgWatts, Fewer Is BetterDuckDB 0.9.1CPU Power Consumption Monitor140280420560700

Apache Cassandra

Test: Writes

OpenBenchmarking.orgOp/s Per Watt, More Is BetterApache Cassandra 4.1.3Test: WritesZen 1 - EPYC 760160120180240300258.46

Apache Cassandra

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601259592701OpenBenchmarking.orgWatts, Fewer Is BetterApache Cassandra 4.1.3CPU Power Consumption Monitor2004006008001000

Speedb

Test: Random Read

OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Random ReadZen 1 - EPYC 760130K60K90K120K150K128090.20

Speedb

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601259678714OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor2004006008001000

Speedb

Test: Read While Writing

OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Read While WritingZen 1 - EPYC 76012K4K6K8K10K9060.48

Speedb

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601260678716OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor2004006008001000

Speedb

Test: Read Random Write Random

OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Read Random Write RandomZen 1 - EPYC 760150010001500200025002268.93

Speedb

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601262633710OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor2004006008001000

Speedb

Test: Update Random

OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Update RandomZen 1 - EPYC 760190180270360450396.18

Speedb

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601261.5508.7579.5OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor160320480640800

RocksDB

Test: Random Read

OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 8.0Test: Random ReadZen 1 - EPYC 760130K60K90K120K150K125079.64

RocksDB

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601259678714OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 8.0CPU Power Consumption Monitor2004006008001000

RocksDB

Test: Read While Writing

OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 8.0Test: Read While WritingZen 1 - EPYC 7601110022003300440055004962.32

RocksDB

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601262679712OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 8.0CPU Power Consumption Monitor2004006008001000

RocksDB

Test: Read Random Write Random

OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 8.0Test: Read Random Write RandomZen 1 - EPYC 760150010001500200025002244.55

RocksDB

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601268672711OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 8.0CPU Power Consumption Monitor2004006008001000

RocksDB

Test: Update Random

OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 8.0Test: Update RandomZen 1 - EPYC 7601110220330440550502.97

RocksDB

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601264578641OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 8.0CPU Power Consumption Monitor2004006008001000

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 76014008001200160020001836.86

Redis 7.0.12 + memtier_benchmark

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601260644714OpenBenchmarking.orgWatts, Fewer Is BetterRedis 7.0.12 + memtier_benchmark 2.0CPU Power Consumption Monitor2004006008001000

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 76014008001200160020001771.45

Redis 7.0.12 + memtier_benchmark

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601266645715OpenBenchmarking.orgWatts, Fewer Is BetterRedis 7.0.12 + memtier_benchmark 2.0CPU Power Consumption Monitor2004006008001000

7-Zip Compression

Test: Decompression Rating

OpenBenchmarking.orgMIPS Per Watt, More Is Better7-Zip Compression 22.01Test: Decompression RatingZen 1 - EPYC 760150100150200250214.29

7-Zip Compression

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601262627714OpenBenchmarking.orgWatts, Fewer Is Better7-Zip Compression 22.01CPU Power Consumption Monitor2004006008001000

Timed Linux Kernel Compilation

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601257528717OpenBenchmarking.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 7601130260390520650Min: 254.27 / Avg: 676.95 / Max: 718.77

Timed LLVM Compilation

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 16.0CPU Power Consumption MonitorZen 1 - EPYC 7601130260390520650Min: 257.35 / Avg: 646.98 / Max: 716.05

Timed LLVM Compilation

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 16.0CPU Power Consumption MonitorZen 1 - EPYC 7601130260390520650Min: 254.39 / Avg: 594.06 / Max: 717.76

Timed Node.js Compilation

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601144624717OpenBenchmarking.orgWatts, Fewer Is BetterTimed Node.js Compilation 19.8.1CPU Power Consumption Monitor2004006008001000

Timed Gem5 Compilation

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601225533719OpenBenchmarking.orgWatts, Fewer Is BetterTimed Gem5 Compilation 23.0.1CPU Power Consumption Monitor2004006008001000

Timed FFmpeg Compilation

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601255526717OpenBenchmarking.orgWatts, Fewer Is BetterTimed FFmpeg Compilation 6.1CPU Power Consumption Monitor2004006008001000

QuantLib

Configuration: Multi-Threaded

OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedZen 1 - EPYC 76012040608010095.99

QuantLib

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601258672716OpenBenchmarking.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 7601262657703OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10CPU Power Consumption Monitor2004006008001000

OpenFOAM

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10CPU Power Consumption MonitorZen 1 - EPYC 7601120240360480600Min: 262.83 / Avg: 640.83 / Max: 704.84

OpenRadioss

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15CPU Power Consumption MonitorZen 1 - EPYC 7601120240360480600Min: 266.19 / Avg: 628.45 / Max: 689.13

miniBUDE

Implementation: OpenMP - Input Deck: BM1

OpenBenchmarking.orgBillion Interactions/s Per Watt, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1Zen 1 - EPYC 76010.0050.010.0150.020.0250.022

miniBUDE

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601266655707OpenBenchmarking.orgWatts, Fewer Is BetterminiBUDE 20210901CPU Power Consumption Monitor2004006008001000

miniBUDE

Implementation: OpenMP - Input Deck: BM2

OpenBenchmarking.orgBillion Interactions/s Per Watt, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2Zen 1 - EPYC 76010.00470.00940.01410.01880.02350.021

miniBUDE

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601263678697OpenBenchmarking.orgWatts, Fewer Is BetterminiBUDE 20210901CPU Power Consumption Monitor2004006008001000

easyWave

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601265.0522.7590.2OpenBenchmarking.orgWatts, Fewer Is BettereasyWave r34CPU Power Consumption Monitor160320480640800

easyWave

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BettereasyWave r34CPU Power Consumption MonitorZen 1 - EPYC 7601100200300400500Min: 247.92 / Avg: 525.08 / Max: 591.62

GPAW

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601258667715OpenBenchmarking.orgWatts, Fewer Is BetterGPAW 23.6CPU Power Consumption Monitor2004006008001000

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsZen 1 - EPYC 76010.00450.0090.01350.0180.02250.02

LAMMPS Molecular Dynamics Simulator

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022CPU Power Consumption MonitorZen 1 - EPYC 7601120240360480600Min: 262.81 / Avg: 690.49 / Max: 703.09

CloverLeaf

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601267587649OpenBenchmarking.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 7601110220330440550Min: 263.25 / Avg: 593.38 / Max: 633.3

Kripke

OpenBenchmarking.orgThroughput FoM Per Watt, More Is BetterKripke 1.2.6Zen 1 - EPYC 760160K120K180K240K300K291422.10

Kripke

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601264643709OpenBenchmarking.orgWatts, Fewer Is BetterKripke 1.2.6CPU Power Consumption Monitor2004006008001000

Xcompact3d Incompact3d

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601264578640OpenBenchmarking.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 7601120240360480600Min: 264.43 / Avg: 601.98 / Max: 679.05

NAMD

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601265665714OpenBenchmarking.orgWatts, Fewer Is BetterNAMD 2.14CPU Power Consumption Monitor2004006008001000

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

GROMACS

CPU Power Consumption Monitor

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

Quicksilver

Input: CORAL2 P1

OpenBenchmarking.orgFigure Of Merit Per Watt, More Is BetterQuicksilver 20230818Input: CORAL2 P1Zen 1 - EPYC 76015K10K15K20K25K22248.55

Quicksilver

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601243584648OpenBenchmarking.orgWatts, Fewer Is BetterQuicksilver 20230818CPU Power Consumption Monitor2004006008001000

Quicksilver

Input: CORAL2 P2

OpenBenchmarking.orgFigure Of Merit Per Watt, More Is BetterQuicksilver 20230818Input: CORAL2 P2Zen 1 - EPYC 76016K12K18K24K30K27116.87

Quicksilver

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601255.2553.7594.9OpenBenchmarking.orgWatts, Fewer Is BetterQuicksilver 20230818CPU Power Consumption Monitor160320480640800

Quicksilver

Input: CTS2

OpenBenchmarking.orgFigure Of Merit Per Watt, More Is BetterQuicksilver 20230818Input: CTS2Zen 1 - EPYC 76014K8K12K16K20K18307.66

Quicksilver

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterQuicksilver 20230818CPU Power Consumption MonitorZen 1 - EPYC 7601120240360480600Min: 258.88 / Avg: 624.15 / Max: 662.04

Y-Cruncher

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601262543712OpenBenchmarking.orgWatts, Fewer Is BetterY-Cruncher 0.8.3CPU Power Consumption Monitor2004006008001000

Y-Cruncher

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601263602718OpenBenchmarking.orgWatts, Fewer Is BetterY-Cruncher 0.8.3CPU Power Consumption Monitor2004006008001000

ACES DGEMM

Sustained Floating-Point Rate

OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateZen 1 - EPYC 76010.00140.00280.00420.00560.0070.006

ACES DGEMM

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601264618679OpenBenchmarking.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 7601130260390520650Min: 255.46 / Avg: 673.45 / Max: 711.35

Blender

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601261677715OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption Monitor2004006008001000

Blender

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601263696717OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption Monitor2004006008001000

Blender

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601265681714OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption Monitor2004006008001000

Blender

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601264698715OpenBenchmarking.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 7601130260390520650Min: 263.91 / Avg: 701.51 / Max: 715.33

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 76010.00770.01540.02310.03080.03850.034

Embree

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601266649712OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.3CPU Power Consumption Monitor2004006008001000

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownZen 1 - EPYC 76010.00630.01260.01890.02520.03150.028

Embree

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601265660715OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.3CPU Power Consumption Monitor2004006008001000

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 76010.00020.00040.00060.00080.0010.001

Intel Open Image Denoise

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601263656700OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 2.1CPU Power Consumption Monitor2004006008001000

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601263579715OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor2004006008001000

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601264631714OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor2004006008001000

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601263664715OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor2004006008001000

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601146579715OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor2004006008001000

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601262638714OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor2004006008001000

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601261670715OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor2004006008001000

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 76010.00090.00180.00270.00360.00450.004

OSPRay

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601163621710OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor2004006008001000

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 76010.00090.00180.00270.00360.00450.004

OSPRay

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601264621710OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor2004006008001000

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 76010.00160.00320.00480.00640.0080.007

OSPRay

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601263635708OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor2004006008001000

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 76010.00180.00360.00540.00720.0090.008

OSPRay

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601265681703OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor2004006008001000

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 76010.00180.00360.00540.00720.0090.008

OSPRay

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601263623704OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor2004006008001000

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 76010.03650.0730.10950.1460.18250.162

OSPRay

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601262607699OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor2004006008001000

Chaos Group V-RAY

Mode: CPU

OpenBenchmarking.orgvsamples Per Watt, More Is BetterChaos Group V-RAY 5.02Mode: CPUZen 1 - EPYC 760181624324034.52

Chaos Group V-RAY

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601259584716OpenBenchmarking.orgWatts, Fewer Is BetterChaos Group V-RAY 5.02CPU Power Consumption Monitor2004006008001000

IndigoBench

Acceleration: CPU - Scene: Supercar

OpenBenchmarking.orgM samples/s Per Watt, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarZen 1 - EPYC 76010.00290.00580.00870.01160.01450.013

IndigoBench

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601263666719OpenBenchmarking.orgWatts, Fewer Is BetterIndigoBench 4.4CPU Power Consumption Monitor2004006008001000

IndigoBench

Acceleration: CPU - Scene: Bedroom

OpenBenchmarking.orgM samples/s Per Watt, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: BedroomZen 1 - EPYC 76010.00140.00280.00420.00560.0070.006

IndigoBench

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601263662717OpenBenchmarking.orgWatts, Fewer Is BetterIndigoBench 4.4CPU Power Consumption Monitor2004006008001000

FFmpeg

Encoder: libx265 - Scenario: Live

OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: LiveZen 1 - EPYC 76010.03920.07840.11760.15680.1960.174

FFmpeg

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601261.5334.7472.2OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor120240360480600

FFmpeg

Encoder: libx265 - Scenario: Upload

OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: UploadZen 1 - EPYC 76010.0070.0140.0210.0280.0350.031

FFmpeg

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601251.3338.9555.2OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor140280420560700

FFmpeg

Encoder: libx265 - Scenario: Platform

OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: PlatformZen 1 - EPYC 76010.01350.0270.04050.0540.06750.06

FFmpeg

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601178.8350.2501.8OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor130260390520650

FFmpeg

Encoder: libx265 - Scenario: Video On Demand

OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: Video On DemandZen 1 - EPYC 76010.01350.0270.04050.0540.06750.06

FFmpeg

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601251.1348.9503.6OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor130260390520650

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 76010.03940.07880.11820.15760.1970.175

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601250387643OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor2004006008001000

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 76010.03960.07920.11880.15840.1980.176

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601144400660OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor2004006008001000

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 76010.01170.02340.03510.04680.05850.052

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601262502689OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor2004006008001000

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 76010.00140.00280.00420.00560.0070.006

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601254498687OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor2004006008001000

rav1e

Speed: 10

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.7Speed: 10Zen 1 - EPYC 76010.00450.0090.01350.0180.02250.02

rav1e

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601252.3344.6364.8OpenBenchmarking.orgWatts, Fewer Is Betterrav1e 0.7CPU Power Consumption Monitor100200300400500

rav1e

Speed: 6

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.7Speed: 6Zen 1 - EPYC 76010.00180.00360.00540.00720.0090.008

rav1e

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601258.0367.6413.4OpenBenchmarking.orgWatts, Fewer Is Betterrav1e 0.7CPU Power Consumption Monitor110220330440550

rav1e

Speed: 5

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.7Speed: 5Zen 1 - EPYC 76010.00140.00280.00420.00560.0070.006

rav1e

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601265.3372.5499.9OpenBenchmarking.orgWatts, Fewer Is Betterrav1e 0.7CPU Power Consumption Monitor130260390520650

rav1e

Speed: 1

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.7Speed: 1Zen 1 - EPYC 76010.00020.00040.00060.00080.0010.001

rav1e

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601220.0426.6553.3OpenBenchmarking.orgWatts, Fewer Is Betterrav1e 0.7CPU Power Consumption Monitor140280420560700

x265

Video Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterx265 3.4Video Input: Bosphorus 4KZen 1 - EPYC 76010.00630.01260.01890.02520.03150.028

x265

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601263.4516.7606.4OpenBenchmarking.orgWatts, Fewer Is Betterx265 3.4CPU Power Consumption Monitor160320480640800

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 76010.00290.00580.00870.01160.01450.013

uvg266

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601257656705OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor2004006008001000

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 76010.00810.01620.02430.03240.04050.036

uvg266

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601260613686OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor2004006008001000

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 76010.00860.01720.02580.03440.0430.038

uvg266

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601264618689OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor2004006008001000

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 76010.01040.02080.03120.04160.0520.046

uvg266

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601264589673OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor2004006008001000

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 76010.00140.00280.00420.00560.0070.006

VVenC

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601159513706OpenBenchmarking.orgWatts, Fewer Is BetterVVenC 1.9CPU Power Consumption Monitor2004006008001000

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 76010.00290.00580.00870.01160.01450.013

VVenC

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601261519649OpenBenchmarking.orgWatts, Fewer Is BetterVVenC 1.9CPU Power Consumption Monitor2004006008001000

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601257592660OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor2004006008001000

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601259630678OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor2004006008001000

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601260668708OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor2004006008001000

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601262601630OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor2004006008001000

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601261616662OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor2004006008001000

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601260660708OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor2004006008001000

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601261665708OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor2004006008001000

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601262604653OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor2004006008001000

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601260670709OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor2004006008001000

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601262614672OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor2004006008001000

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601260558711OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor2004006008001000

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601261604711OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor2004006008001000

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601260637710OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor2004006008001000

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601262572712OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor2004006008001000

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601260632709OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor2004006008001000

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601263635709OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor2004006008001000

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601261572712OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor2004006008001000

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601264582695OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor2004006008001000

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601259630707OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor2004006008001000

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601268452713OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor2004006008001000

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601265568712OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor2004006008001000

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 76010.00430.00860.01290.01720.02150.019

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601262.6524.0574.5OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor140280420560700

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 76010.00970.01940.02910.03880.04850.043

PyTorch

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601263620701OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor2004006008001000

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 76010.00720.01440.02160.02880.0360.032

PyTorch

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601261653699OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor2004006008001000

Xmrig

Variant: Monero - Hash Count: 1M

OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: Monero - Hash Count: 1MZen 1 - EPYC 7601369121510.86

Xmrig

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601264649683OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor2004006008001000

Xmrig

Variant: Wownero - Hash Count: 1M

OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: Wownero - Hash Count: 1MZen 1 - EPYC 76014812162015.73

Xmrig

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601264662706OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor2004006008001000

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 7601369121510.81

Xmrig

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption MonitorZen 1 - EPYC 7601120240360480600Min: 227.27 / Avg: 643.82 / Max: 681.92

Xmrig

Variant: CryptoNight-Heavy - Hash Count: 1M

OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: CryptoNight-Heavy - Hash Count: 1MZen 1 - EPYC 7601369121510.98

Xmrig

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601266645679OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor2004006008001000

Xmrig

Variant: KawPow - Hash Count: 1M

OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: KawPow - Hash Count: 1MZen 1 - EPYC 7601369121510.77

Xmrig

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption MonitorZen 1 - EPYC 7601120240360480600Min: 266.23 / Avg: 644.06 / Max: 679.56

Xmrig

Variant: GhostRider - Hash Count: 1M

OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: GhostRider - Hash Count: 1MZen 1 - EPYC 76010.43070.86141.29211.72282.15351.914

Xmrig

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption MonitorZen 1 - EPYC 7601100200300400500Min: 265.39 / Avg: 559.12 / Max: 586.02

Meta Performance Per Watts

Performance Per Watts

OpenBenchmarking.orgPerformance Per Watts, More Is BetterMeta Performance Per WattsPerformance Per WattsZen 1 - EPYC 760150010001500200025002562.10

CPU Power Consumption Monitor

Phoronix Test Suite System Monitoring

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringZen 1 - EPYC 7601140280420560700Min: 134.19 / Avg: 579.81 / Max: 789.58

Phoronix Test Suite v10.8.4