AMD EPYC Zen

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

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

AMD EPYC ZenProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionZen 1 - EPYC 7601Zen 4C - EPYC 8534PNAMD EPYC 7601 32-Core @ 2.20GHz (32 Cores / 64 Threads)TYAN B8026T70AE24HR (V1.02.B10 BIOS)AMD 17h128GB280GB INTEL SSDPE21D280GA + 1000GB INTEL SSDPE2KX010T8llvmpipeVE2282 x Broadcom NetXtreme BCM5720 PCIeUbuntu 23.106.6.9-060609-generic (x86_64)GNOME Shell 45.0X Server 1.21.1.74.5 Mesa 23.2.1-1ubuntu3.1 (LLVM 15.0.7 256 bits)GCC 13.2.0ext41920x1080AMD EPYC 8534PN 64-Core @ 2.00GHz (64 Cores / 128 Threads)AMD Cinnabar (RCB1009C BIOS)AMD Device 14a46 x 32 GB DRAM-4800MT/s Samsung M321R4GA0BB0-CQKMG1000GB INTEL SSDPE2KX010T8ASPEED1920x1200OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Zen 1 - EPYC 7601: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x800126e- Zen 4C - EPYC 8534PN: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xaa00212Java Details- OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu123.10)Python Details- Python 3.11.6Security Details- Zen 1 - EPYC 7601: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Mitigation of untrained return thunk; SMT vulnerable + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional STIBP: disabled RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - Zen 4C - EPYC 8534PN: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

AMD EPYC Zencompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingmt-dgemm: Sustained Floating-Point Ratecassandra: Writesapache: 1000apache-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 - 400blender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyblender: Barbershop - CPU-Onlyv-ray: CPUcloverleaf: clover_bm64_shortcloverleaf: clover_bm16duckdb: IMDBduckdb: TPC-H Parqueteasywave: e2Asean Grid + BengkuluSept2007 Source - 1200easywave: e2Asean Grid + BengkuluSept2007 Source - 2400embree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Crownffmpeg: libx265 - Liveffmpeg: libx265 - Uploadffmpeg: libx265 - Platformffmpeg: libx265 - Video On Demandgpaw: Carbon Nanotubegromacs: MPI CPU - water_GMX50_bareindigobench: CPU - Supercarindigobench: CPU - Bedroomoidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlykripke: lammps: 20k Atomsminibude: OpenMP - BM1minibude: OpenMP - BM1minibude: OpenMP - BM2minibude: OpenMP - BM2namd: ATPase Simulation - 327,506 Atomsdeepsparse: 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-Streamdeepsparse: 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-Streamdeepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: 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-Streamnginx: 500nginx: 1000openfoam: drivaerFastback, Small Mesh Size - Mesh Timeopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timeopenfoam: drivaerFastback, Medium Mesh Size - Execution Timeopenradioss: Chrysler Neon 1Mopenssl: RSA4096openssl: RSA4096openssl: SHA256openssl: SHA512openssl: AES-128-GCMopenssl: AES-256-GCMopenssl: ChaCha20openssl: ChaCha20-Poly1305openvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: 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 - CPUospray: 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 - CPUpytorch: CPU - 1 - ResNet-50pytorch: CPU - 256 - ResNet-50quantlib: Multi-Threadedquicksilver: CORAL2 P1quicksilver: CORAL2 P2quicksilver: CTS2rav1e: 10rav1e: 6rav1e: 5rav1e: 1memtier-benchmark: Redis - 100 - 1:10memtier-benchmark: Redis - 100 - 1:5rocksdb: Rand Readrocksdb: Read While Writingrocksdb: Read Rand Write Randrocksdb: Update Randspecfem3d: Layered Halfspacespecfem3d: Water-layered Halfspacespecfem3d: Homogeneous Halfspacespecfem3d: Mount St. Helensspecfem3d: Tomographic Modelspeedb: Rand Readspeedb: Read While Writingspeedb: Read Rand Write Randspeedb: Update Randsvt-av1: Preset 13 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 4 - Bosphorus 4Ktensorflow: CPU - 16 - ResNet-50build-ffmpeg: Time To Compilebuild-gem5: Time To Compilebuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigbuild-llvm: Ninjabuild-llvm: Unix Makefilesmrbayes: Primate Phylogeny Analysisbuild-nodejs: Time To Compileuvg266: Bosphorus 4K - Mediumuvg266: Bosphorus 4K - Very Fastuvg266: Bosphorus 4K - Super Fastuvg266: Bosphorus 4K - Ultra Fastvvenc: Bosphorus 4K - Fastvvenc: Bosphorus 4K - Fasterx265: Bosphorus 4Kincompact3d: input.i3d 193 Cells Per Directionincompact3d: X3D-benchmarking input.i3dxmrig: Monero - 1Mxmrig: Wownero - 1Mxmrig: CryptoNight-Femto UPX2 - 1Mxmrig: CryptoNight-Heavy - 1Mxmrig: KawPow - 1Mxmrig: GhostRider - 1My-cruncher: 500My-cruncher: 1BZen 1 - EPYC 7601Zen 4C - EPYC 8534PN1239341344173.79079915288788038.283871226346.2938176456166.005375994085.0752849125294.7558774090127.2659444334421.304604958939.4045921074147.895699381182.0757037441318.2458403756129.7760237625488.6473.00192.80101.20247.24767.1520175108.60971.50199.014245.742148.077352.68721.831518.361358.2310.3921.0321.04142.1651.9928.5803.9910.4818737593313.872356.12214.245355.50114.2200.97959260.249661.393490.6624176.4317144.6829110.448410.75451457.915570.3395226.951870.5586226.374410.80701460.70419.29921701.3747142.7964111.8988155.7019102.658213.25971200.1003131.7605121.2093103269.83100664.3544.44531126.1908231.744461179.2541499.304510.7293924.1270568304008316184170976450094878994842869747920025967303154906903.822094.2113011.102.4343.91181.92377.4084.68295.8027.01471.3816.9541.32193.33877.499.1189.05169.04149.4953.472.578292.466924.148415.289315.2211698.441384781455282806061005017118833164326.7221.2164481.71299666715013333114266676.9712.9372.2490.5631183656.971142464.16847982043371876150918429061878.67990438474.95062589638.06317925029.95188620330.283593040868670416145679143607420155567.93470.52526.2523.0609.8239.789388.02376.300755.017435.054529.717201.182387.6528.7322.2723.4427.213.2916.49314.5237.4064191818.0541187044.210414.76957.27081.06937.91070.115.69333.92335809340602122.953315251434130116.685139669835.5850396884133.018653027252.9586278348191.7710417322071.67103397638254.316793722627.1667712944106.919953170947.1991869780195.4973031288101.6070984166394.5127.0767.9135.3786.57240.356091157.38497.09125.100178.43538.884109.84783.197567.9033114.9523.1846.9646.9863.04524.52211.1721.8430310720031.0072921.653116.8662939.356117.5740.391751444.906722.1179322.281399.1066484.732665.930536.7555855.7340219.9119145.1134221.3018144.144736.9206855.930464.0361495.1442484.869765.91393821.92418.356046.8734674.2608696.514645.8818263177.49266322.5530.95124754.559168159.57429679.78992297.7225217.0889214.2798574017832627196054752817889735346081485319029791535049320887725424753.51595.9274625.610.60218.07146.535276.1111.972902.5710.902602.2712.21309.82103.128840.417.101229.1651.96977.0732.6717.298616.808919.643417.099317.0484166.152185636085657252196412787678545.1336.56171336.621326667161766671631666712.3554.8613.5810.8533084431.372901182.2330267444069182672654286483387304542944129475072577564356602196.423194.54767.2096.67250.2718.061217.12641.709307.653173.868261.161126.969160.72519.8752.5955.0155.986.28011.56427.5420.8747749562.35988420716.539663.320699.520541.820720.84376.05.09910.233OpenBenchmarking.org

7-Zip Compression

Test: Compression Rating

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

7-Zip Compression

Test: Decompression Rating

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

7-Zip Compression

Test: Decompression Rating

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

7-Zip Compression

CPU Power Consumption Monitor

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

ACES DGEMM

Sustained Floating-Point Rate

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

ACES DGEMM

Sustained Floating-Point Rate

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

ACES DGEMM

CPU Power Consumption Monitor

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

Apache Cassandra

Test: Writes

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

Apache Cassandra

Test: Writes

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

Apache Cassandra

CPU Power Consumption Monitor

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

Apache HTTP Server

Concurrent Requests: 1000

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

Apache HTTP Server

Concurrent Requests: 1000

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

Apache HTTP Server

CPU Power Consumption Monitor

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

Apache IoTDB

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

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

Apache IoTDB

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

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

Apache IoTDB

CPU Power Consumption Monitor

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

Apache IoTDB

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

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

Apache IoTDB

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

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

Apache IoTDB

CPU Power Consumption Monitor

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

Apache IoTDB

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

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN20M40M60M80M100MSE +/- 175336.13, N = 3SE +/- 262330.46, N = 35375994086530272

Apache IoTDB

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

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN20406080100SE +/- 0.50, N = 3SE +/- 0.43, N = 385.0752.95MAX: 11426.59MAX: 10080.74

Apache IoTDB

CPU Power Consumption Monitor

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

Apache IoTDB

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

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

Apache IoTDB

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

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

Apache IoTDB

CPU Power Consumption Monitor

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

Apache IoTDB

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

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

Apache IoTDB

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

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

Apache IoTDB

CPU Power Consumption Monitor

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

Apache IoTDB

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

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

Apache IoTDB

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

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

Apache IoTDB

CPU Power Consumption Monitor

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

Apache IoTDB

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

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

Apache IoTDB

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

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

Apache IoTDB

CPU Power Consumption Monitor

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

Apache IoTDB

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

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

Apache IoTDB

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

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

Apache IoTDB

CPU Power Consumption Monitor

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

Apache IoTDB

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

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

Apache IoTDB

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

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

Apache IoTDB

CPU Power Consumption Monitor

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

Apache IoTDB

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

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

Apache IoTDB

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

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

Apache IoTDB

CPU Power Consumption Monitor

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

Apache IoTDB

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

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

Apache IoTDB

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

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

Apache IoTDB

CPU Power Consumption Monitor

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

Apache IoTDB

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

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

Apache IoTDB

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

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

Apache IoTDB

CPU Power Consumption Monitor

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

Blender

Blend File: BMW27 - Compute: CPU-Only

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

Blender

CPU Power Consumption Monitor

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

Blender

Blend File: Classroom - Compute: CPU-Only

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

Blender

CPU Power Consumption Monitor

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

Blender

Blend File: Fishy Cat - Compute: CPU-Only

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

Blender

CPU Power Consumption Monitor

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

Blender

Blend File: Pabellon Barcelona - Compute: CPU-Only

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

Blender

CPU Power Consumption Monitor

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

Blender

Blend File: Barbershop - Compute: CPU-Only

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

Blender

CPU Power Consumption Monitor

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

Chaos Group V-RAY

Mode: CPU

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

Chaos Group V-RAY

Mode: CPU

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

Chaos Group V-RAY

CPU Power Consumption Monitor

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

CloverLeaf

Input: clover_bm64_short

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

CloverLeaf

CPU Power Consumption Monitor

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

CloverLeaf

Input: clover_bm16

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

CloverLeaf

CPU Power Consumption Monitor

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

CPU Power Consumption Monitor

Phoronix Test Suite System Monitoring

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

DuckDB

Benchmark: IMDB

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

DuckDB

CPU Power Consumption Monitor

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

DuckDB

Benchmark: TPC-H Parquet

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

DuckDB

CPU Power Consumption Monitor

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

easyWave

Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200

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

easyWave

CPU Power Consumption Monitor

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

easyWave

Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400

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

easyWave

CPU Power Consumption Monitor

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

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

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

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

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

Embree

CPU Power Consumption Monitor

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

Embree

Binary: Pathtracer ISPC - Model: Crown

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

Embree

Binary: Pathtracer ISPC - Model: Crown

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

Embree

CPU Power Consumption Monitor

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

FFmpeg

Encoder: libx265 - Scenario: Live

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

FFmpeg

Encoder: libx265 - Scenario: Live

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

FFmpeg

CPU Power Consumption Monitor

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

FFmpeg

Encoder: libx265 - Scenario: Upload

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

FFmpeg

Encoder: libx265 - Scenario: Upload

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

FFmpeg

CPU Power Consumption Monitor

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

FFmpeg

Encoder: libx265 - Scenario: Platform

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

FFmpeg

Encoder: libx265 - Scenario: Platform

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

FFmpeg

CPU Power Consumption Monitor

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

FFmpeg

Encoder: libx265 - Scenario: Video On Demand

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

FFmpeg

Encoder: libx265 - Scenario: Video On Demand

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

FFmpeg

CPU Power Consumption Monitor

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

GPAW

Input: Carbon Nanotube

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

GPAW

CPU Power Consumption Monitor

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

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

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

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

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

GROMACS

CPU Power Consumption Monitor

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

IndigoBench

Acceleration: CPU - Scene: Supercar

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

IndigoBench

Acceleration: CPU - Scene: Supercar

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

IndigoBench

CPU Power Consumption Monitor

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

IndigoBench

Acceleration: CPU - Scene: Bedroom

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

IndigoBench

Acceleration: CPU - Scene: Bedroom

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

IndigoBench

CPU Power Consumption Monitor

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

Intel Open Image Denoise

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

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-OnlyZen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.4140.8281.2421.6562.07SE +/- 0.00, N = 3SE +/- 0.00, N = 30.481.84

Intel Open Image Denoise

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

OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 2.1Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-OnlyZen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.00340.00680.01020.01360.0170.0010.015

Intel Open Image Denoise

CPU Power Consumption Monitor

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

Kripke

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

Kripke

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

Kripke

CPU Power Consumption Monitor

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

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

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

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

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

LAMMPS Molecular Dynamics Simulator

CPU Power Consumption Monitor

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

Meta Performance Per Watts

Performance Per Watts

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

miniBUDE

Implementation: OpenMP - Input Deck: BM1

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

miniBUDE

Implementation: OpenMP - Input Deck: BM1

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

miniBUDE

Implementation: OpenMP - Input Deck: BM1

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

miniBUDE

CPU Power Consumption Monitor

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

miniBUDE

Implementation: OpenMP - Input Deck: BM2

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

miniBUDE

Implementation: OpenMP - Input Deck: BM2

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

miniBUDE

Implementation: OpenMP - Input Deck: BM2

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

miniBUDE

CPU Power Consumption Monitor

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

NAMD

ATPase Simulation - 327,506 Atoms

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

NAMD

CPU Power Consumption Monitor

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

Neural Magic DeepSparse

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

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN30060090012001500SE +/- 1.56, N = 3SE +/- 0.50, N = 3260.251444.91

Neural Magic DeepSparse

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

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN1428425670SE +/- 0.36, N = 3SE +/- 0.01, N = 361.3922.12

Neural Magic DeepSparse

CPU Power Consumption Monitor

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

Neural Magic DeepSparse

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

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN70140210280350SE +/- 0.85, N = 6SE +/- 0.25, N = 390.66322.28

Neural Magic DeepSparse

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

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN4080120160200SE +/- 1.64, N = 6SE +/- 0.07, N = 3176.4399.11

Neural Magic DeepSparse

CPU Power Consumption Monitor

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

Neural Magic DeepSparse

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

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN100200300400500SE +/- 0.49, N = 3SE +/- 0.29, N = 3144.68484.73

Neural Magic DeepSparse

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

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN20406080100SE +/- 0.40, N = 3SE +/- 0.04, N = 3110.4565.93

Neural Magic DeepSparse

CPU Power Consumption Monitor

MinAvgMaxZen 1 - EPYC 7601260637710Zen 4C - EPYC 8534PN14134157OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor2004006008001000

Neural Magic DeepSparse

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

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN816243240SE +/- 0.04, N = 3SE +/- 0.06, N = 310.7536.76

Neural Magic DeepSparse

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

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN30060090012001500SE +/- 5.55, N = 3SE +/- 0.50, N = 31457.92855.73

Neural Magic DeepSparse

CPU Power Consumption Monitor

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

Neural Magic DeepSparse

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

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN50100150200250SE +/- 0.21, N = 3SE +/- 0.36, N = 370.34219.91

Neural Magic DeepSparse

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

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN50100150200250SE +/- 0.66, N = 3SE +/- 0.24, N = 3226.95145.11

Neural Magic DeepSparse

CPU Power Consumption Monitor

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

Neural Magic DeepSparse

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

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN50100150200250SE +/- 0.11, N = 3SE +/- 0.29, N = 370.56221.30

Neural Magic DeepSparse

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

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN50100150200250SE +/- 0.35, N = 3SE +/- 0.20, N = 3226.37144.14

Neural Magic DeepSparse

CPU Power Consumption Monitor

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

Neural Magic DeepSparse

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

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN816243240SE +/- 0.07, N = 3SE +/- 0.10, N = 310.8136.92

Neural Magic DeepSparse

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

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN30060090012001500SE +/- 2.60, N = 3SE +/- 0.81, N = 31460.70855.93

Neural Magic DeepSparse

CPU Power Consumption Monitor

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

Neural Magic DeepSparse

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

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN1428425670SE +/- 0.0191, N = 3SE +/- 0.1281, N = 39.299264.0361

Neural Magic DeepSparse

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

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN400800120016002000SE +/- 3.29, N = 3SE +/- 1.38, N = 31701.37495.14

Neural Magic DeepSparse

CPU Power Consumption Monitor

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

Neural Magic DeepSparse

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

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN100200300400500SE +/- 1.66, N = 3SE +/- 0.12, N = 3142.80484.87

Neural Magic DeepSparse

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

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN306090120150SE +/- 1.29, N = 3SE +/- 0.01, N = 3111.9065.91

Neural Magic DeepSparse

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

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN8001600240032004000SE +/- 0.49, N = 3SE +/- 7.35, N = 3155.703821.92

Neural Magic DeepSparse

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

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN20406080100SE +/- 0.3037, N = 3SE +/- 0.0152, N = 3102.65828.3560

Neural Magic DeepSparse

CPU Power Consumption Monitor

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

Neural Magic DeepSparse

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

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN1122334455SE +/- 0.06, N = 3SE +/- 0.03, N = 313.2646.87

Neural Magic DeepSparse

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

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN30060090012001500SE +/- 3.61, N = 3SE +/- 0.35, N = 31200.10674.26

Neural Magic DeepSparse

CPU Power Consumption Monitor

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

Neural Magic DeepSparse

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

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN150300450600750SE +/- 1.27, N = 3SE +/- 1.12, N = 3131.76696.51

Neural Magic DeepSparse

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

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-StreamZen 1 - EPYC 7601Zen 4C - EPYC 8534PN306090120150SE +/- 1.16, N = 3SE +/- 0.07, N = 3121.2145.88

Neural Magic DeepSparse

CPU Power Consumption Monitor

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

nginx

Connections: 500

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

nginx

Connections: 500

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

nginx

CPU Power Consumption Monitor

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

nginx

Connections: 1000

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

nginx

Connections: 1000

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

nginx

CPU Power Consumption Monitor

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

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Mesh Time

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

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Execution Time

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

OpenFOAM

CPU Power Consumption Monitor

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

OpenFOAM

Input: drivaerFastback, Medium Mesh Size - Mesh Time

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

OpenFOAM

Input: drivaerFastback, Medium Mesh Size - Execution Time

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

OpenFOAM

CPU Power Consumption Monitor

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

OpenRadioss

Model: Chrysler Neon 1M

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

OpenRadioss

CPU Power Consumption Monitor

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

OpenSSL

Algorithm: RSA4096

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

OpenSSL

Algorithm: RSA4096

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

OpenSSL

Algorithm: RSA4096

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

OpenSSL

CPU Power Consumption Monitor

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

OpenSSL

Algorithm: SHA256

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

OpenSSL

Algorithm: SHA256

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

OpenSSL

CPU Power Consumption Monitor

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

OpenSSL

Algorithm: SHA512

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

OpenSSL

Algorithm: SHA512

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

OpenSSL

CPU Power Consumption Monitor

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

OpenSSL

Algorithm: AES-128-GCM

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

OpenSSL

Algorithm: AES-128-GCM

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

OpenSSL

CPU Power Consumption Monitor

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

OpenSSL

Algorithm: AES-256-GCM

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

OpenSSL

Algorithm: AES-256-GCM

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

OpenSSL

CPU Power Consumption Monitor

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

OpenSSL

Algorithm: ChaCha20

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

OpenSSL

Algorithm: ChaCha20

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

OpenSSL

CPU Power Consumption Monitor

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

OpenSSL

Algorithm: ChaCha20-Poly1305

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

OpenSSL

Algorithm: ChaCha20-Poly1305

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

OpenSSL

CPU Power Consumption Monitor

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

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection FP16-INT8 - Device: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN1224364860SE +/- 0.00, N = 3SE +/- 0.20, N = 33.8253.511. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

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

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN16K32K48K64K80KSE +/- 3.60, N = 3SE +/- 275.21, N = 313011.1074625.611. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

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

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

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Person Detection FP16 - Device: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN50100150200250SE +/- 0.09, N = 3SE +/- 0.21, N = 343.91218.071. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Detection FP16 - Device: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN4080120160200SE +/- 0.36, N = 3SE +/- 0.14, N = 3181.92146.53MIN: 171.42 / MAX: 202.33MIN: 71.86 / MAX: 230.851. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN11002200330044005500SE +/- 0.02, N = 3SE +/- 6.62, N = 3377.405276.111. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN20406080100SE +/- 0.00, N = 3SE +/- 0.01, N = 384.6811.97MIN: 84.05 / MAX: 93.44MIN: 6.19 / MAX: 26.191. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN6001200180024003000SE +/- 0.35, N = 3SE +/- 5.14, N = 3295.802902.571. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN612182430SE +/- 0.03, N = 3SE +/- 0.02, N = 327.0110.90MIN: 26.86 / MAX: 38.57MIN: 5.86 / MAX: 22.421. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN6001200180024003000SE +/- 1.63, N = 3SE +/- 1.69, N = 3471.382602.271. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN48121620SE +/- 0.06, N = 3SE +/- 0.01, N = 316.9512.21MIN: 16.19 / MAX: 27.98MIN: 7.44 / MAX: 23.581. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Machine Translation EN To DE FP16 - Device: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN70140210280350SE +/- 0.10, N = 3SE +/- 0.68, N = 341.32309.821. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Machine Translation EN To DE FP16 - Device: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN4080120160200SE +/- 0.49, N = 3SE +/- 0.21, N = 3193.33103.12MIN: 178.13 / MAX: 252.21MIN: 51.8 / MAX: 150.841. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16-INT8 - Device: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN2K4K6K8K10KSE +/- 0.26, N = 3SE +/- 14.71, N = 3877.498840.411. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16-INT8 - Device: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN3691215SE +/- 0.00, N = 3SE +/- 0.01, N = 39.107.10MIN: 9.04 / MAX: 17.25MIN: 4.1 / MAX: 18.361. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16-INT8 - Device: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN30060090012001500SE +/- 0.70, N = 3SE +/- 0.72, N = 3189.051229.161. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16-INT8 - Device: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN4080120160200SE +/- 0.65, N = 3SE +/- 0.03, N = 3169.0451.96MIN: 141.74 / MAX: 192.16MIN: 33.44 / MAX: 81.121. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16-INT8 - Device: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN2004006008001000SE +/- 0.14, N = 3SE +/- 2.89, N = 3149.49977.071. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16-INT8 - Device: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN1224364860SE +/- 0.05, N = 3SE +/- 0.10, N = 353.4732.67MIN: 52.68 / MAX: 66.73MIN: 17.88 / MAX: 49.591. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

CPU Power Consumption Monitor

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

OSPRay

Benchmark: gravity_spheres_volume/dim_512/ao/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/ao/real_timeZen 1 - EPYC 7601Zen 4C - EPYC 8534PN48121620SE +/- 0.00282, N = 3SE +/- 0.03849, N = 32.5782917.29860

OSPRay

Benchmark: gravity_spheres_volume/dim_512/ao/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/ao/real_timeZen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.02630.05260.07890.10520.13150.0040.117

OSPRay

CPU Power Consumption Monitor

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

OSPRay

Benchmark: gravity_spheres_volume/dim_512/scivis/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeZen 1 - EPYC 7601Zen 4C - EPYC 8534PN48121620SE +/- 0.01722, N = 3SE +/- 0.01858, N = 32.4669216.80890

OSPRay

Benchmark: gravity_spheres_volume/dim_512/scivis/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeZen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.02540.05080.07620.10160.1270.0040.113

OSPRay

CPU Power Consumption Monitor

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

OSPRay

Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeZen 1 - EPYC 7601Zen 4C - EPYC 8534PN510152025SE +/- 0.01550, N = 3SE +/- 0.02744, N = 34.1484119.64340

OSPRay

Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeZen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.03080.06160.09240.12320.1540.0070.137

OSPRay

CPU Power Consumption Monitor

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

OSPRay

Benchmark: particle_volume/ao/real_time

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

OSPRay

Benchmark: particle_volume/ao/real_time

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

OSPRay

CPU Power Consumption Monitor

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

OSPRay

Benchmark: particle_volume/scivis/real_time

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

OSPRay

Benchmark: particle_volume/scivis/real_time

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

OSPRay

CPU Power Consumption Monitor

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

OSPRay

Benchmark: particle_volume/pathtracer/real_time

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

OSPRay

Benchmark: particle_volume/pathtracer/real_time

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

OSPRay

CPU Power Consumption Monitor

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

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN2K4K6K8K10KSE +/- 16.50, N = 3SE +/- 2.08, N = 384781856

OSPRay Studio

CPU Power Consumption Monitor

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

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN30K60K90K120K150KSE +/- 81.84, N = 3SE +/- 45.84, N = 314552836085

OSPRay Studio

CPU Power Consumption Monitor

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

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN60K120K180K240K300KSE +/- 353.76, N = 3SE +/- 237.26, N = 328060665725

OSPRay Studio

CPU Power Consumption Monitor

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

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN2K4K6K8K10KSE +/- 34.23, N = 3SE +/- 3.51, N = 3100502196

OSPRay Studio

CPU Power Consumption Monitor

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

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN40K80K120K160K200KSE +/- 133.22, N = 3SE +/- 228.15, N = 317118841278

OSPRay Studio

CPU Power Consumption Monitor

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

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUZen 1 - EPYC 7601Zen 4C - EPYC 8534PN70K140K210K280K350KSE +/- 188.22, N = 3SE +/- 336.36, N = 333164376785

OSPRay Studio

CPU Power Consumption Monitor

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

PyTorch

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

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

PyTorch

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

OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-50Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.15460.30920.46380.61840.7730.0430.687

PyTorch

CPU Power Consumption Monitor

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

PyTorch

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

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

PyTorch

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

OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 256 - Model: ResNet-50Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.0880.1760.2640.3520.440.0320.391

PyTorch

CPU Power Consumption Monitor

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

QuantLib

Configuration: Multi-Threaded

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

QuantLib

Configuration: Multi-Threaded

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

QuantLib

CPU Power Consumption Monitor

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

Quicksilver

Input: CORAL2 P1

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

Quicksilver

Input: CORAL2 P1

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

Quicksilver

CPU Power Consumption Monitor

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

Quicksilver

Input: CORAL2 P2

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

Quicksilver

Input: CORAL2 P2

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

Quicksilver

CPU Power Consumption Monitor

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

Quicksilver

Input: CTS2

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

Quicksilver

Input: CTS2

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

Quicksilver

CPU Power Consumption Monitor

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

rav1e

Speed: 10

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

rav1e

Speed: 10

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

rav1e

CPU Power Consumption Monitor

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

rav1e

Speed: 6

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

rav1e

Speed: 6

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

rav1e

CPU Power Consumption Monitor

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

rav1e

Speed: 5

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

rav1e

Speed: 5

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

rav1e

CPU Power Consumption Monitor

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

rav1e

Speed: 1

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

rav1e

Speed: 1

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

rav1e

CPU Power Consumption Monitor

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

Redis 7.0.12 + memtier_benchmark

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

OpenBenchmarking.orgOps/sec, More Is BetterRedis 7.0.12 + memtier_benchmark 2.0Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN700K1400K2100K2800K3500KSE +/- 1850.76, N = 3SE +/- 25227.98, N = 91183656.973084431.371. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Redis 7.0.12 + memtier_benchmark

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

OpenBenchmarking.orgOps/sec Per Watt, More Is BetterRedis 7.0.12 + memtier_benchmark 2.0Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN5K10K15K20K25K1836.8623505.65

Redis 7.0.12 + memtier_benchmark

CPU Power Consumption Monitor

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

Redis 7.0.12 + memtier_benchmark

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

OpenBenchmarking.orgOps/sec, More Is BetterRedis 7.0.12 + memtier_benchmark 2.0Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN600K1200K1800K2400K3000KSE +/- 8571.80, N = 11SE +/- 25230.96, N = 31142464.162901182.231. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Redis 7.0.12 + memtier_benchmark

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

OpenBenchmarking.orgOps/sec Per Watt, More Is BetterRedis 7.0.12 + memtier_benchmark 2.0Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN5K10K15K20K25K1771.4522203.36

Redis 7.0.12 + memtier_benchmark

CPU Power Consumption Monitor

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

RocksDB

Test: Random Read

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

RocksDB

Test: Random Read

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

RocksDB

CPU Power Consumption Monitor

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

RocksDB

Test: Read While Writing

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

RocksDB

Test: Read While Writing

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

RocksDB

CPU Power Consumption Monitor

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

RocksDB

Test: Read Random Write Random

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

RocksDB

Test: Read Random Write Random

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

RocksDB

CPU Power Consumption Monitor

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

RocksDB

Test: Update Random

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

RocksDB

Test: Update Random

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

RocksDB

CPU Power Consumption Monitor

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

SPECFEM3D

Model: Layered Halfspace

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

SPECFEM3D

CPU Power Consumption Monitor

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

SPECFEM3D

Model: Water-layered Halfspace

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

SPECFEM3D

CPU Power Consumption Monitor

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

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

CPU Power Consumption Monitor

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

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

CPU Power Consumption Monitor

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

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

SPECFEM3D

CPU Power Consumption Monitor

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

Speedb

Test: Random Read

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

Speedb

Test: Random Read

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

Speedb

CPU Power Consumption Monitor

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

Speedb

Test: Read While Writing

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

Speedb

Test: Read While Writing

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

Speedb

CPU Power Consumption Monitor

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

Speedb

Test: Read Random Write Random

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

Speedb

Test: Read Random Write Random

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

Speedb

CPU Power Consumption Monitor

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

Speedb

Test: Update Random

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

Speedb

Test: Update Random

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

Speedb

CPU Power Consumption Monitor

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

SVT-AV1

Encoder Mode: Preset 13 - Input: Bosphorus 4K

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

SVT-AV1

Encoder Mode: Preset 13 - Input: Bosphorus 4K

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

SVT-AV1

CPU Power Consumption Monitor

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

SVT-AV1

Encoder Mode: Preset 12 - Input: Bosphorus 4K

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

SVT-AV1

Encoder Mode: Preset 12 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 12 - Input: Bosphorus 4KZen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.85321.70642.55963.41284.2660.1763.792

SVT-AV1

CPU Power Consumption Monitor

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

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 4K

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

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 8 - Input: Bosphorus 4KZen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.2030.4060.6090.8121.0150.0520.902

SVT-AV1

CPU Power Consumption Monitor

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

SVT-AV1

Encoder Mode: Preset 4 - Input: Bosphorus 4K

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

SVT-AV1

Encoder Mode: Preset 4 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 4 - Input: Bosphorus 4KZen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.01940.03880.05820.07760.0970.0060.086

SVT-AV1

CPU Power Consumption Monitor

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

TensorFlow

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

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

TensorFlow

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

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: ResNet-50Zen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.13430.26860.40290.53720.67150.0190.597

TensorFlow

CPU Power Consumption Monitor

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

Timed FFmpeg Compilation

Time To Compile

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

Timed FFmpeg Compilation

CPU Power Consumption Monitor

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

Timed Gem5 Compilation

Time To Compile

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

Timed Gem5 Compilation

CPU Power Consumption Monitor

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

Timed Linux Kernel Compilation

Build: defconfig

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

Timed Linux Kernel Compilation

CPU Power Consumption Monitor

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

Timed Linux Kernel Compilation

Build: allmodconfig

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

Timed Linux Kernel Compilation

CPU Power Consumption Monitor

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

Timed LLVM Compilation

Build System: Ninja

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

Timed LLVM Compilation

CPU Power Consumption Monitor

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

Timed LLVM Compilation

Build System: Unix Makefiles

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

Timed LLVM Compilation

CPU Power Consumption Monitor

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

Timed MrBayes Analysis

Primate Phylogeny Analysis

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

Timed MrBayes Analysis

CPU Power Consumption Monitor

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

Timed Node.js Compilation

Time To Compile

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

Timed Node.js Compilation

CPU Power Consumption Monitor

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

uvg266

Video Input: Bosphorus 4K - Video Preset: Medium

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

uvg266

Video Input: Bosphorus 4K - Video Preset: Medium

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

uvg266

CPU Power Consumption Monitor

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

uvg266

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

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Very FastZen 1 - EPYC 7601Zen 4C - EPYC 8534PN1224364860SE +/- 0.08, N = 3SE +/- 0.04, N = 522.2752.59

uvg266

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

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Very FastZen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.10690.21380.32070.42760.53450.0360.475

uvg266

CPU Power Consumption Monitor

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

uvg266

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

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Super FastZen 1 - EPYC 7601Zen 4C - EPYC 8534PN1224364860SE +/- 0.01, N = 3SE +/- 0.07, N = 523.4455.01

uvg266

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

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Super FastZen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.11250.2250.33750.450.56250.0380.500

uvg266

CPU Power Consumption Monitor

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

uvg266

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

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Ultra FastZen 1 - EPYC 7601Zen 4C - EPYC 8534PN1326395265SE +/- 0.04, N = 3SE +/- 0.14, N = 527.2155.98

uvg266

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

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Ultra FastZen 1 - EPYC 7601Zen 4C - EPYC 8534PN0.12620.25240.37860.50480.6310.0460.561

uvg266

CPU Power Consumption Monitor

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

VVenC

Video Input: Bosphorus 4K - Video Preset: Fast

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

VVenC

Video Input: Bosphorus 4K - Video Preset: Fast

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

VVenC

CPU Power Consumption Monitor

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

VVenC

Video Input: Bosphorus 4K - Video Preset: Faster

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

VVenC

Video Input: Bosphorus 4K - Video Preset: Faster

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

VVenC

CPU Power Consumption Monitor

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

x265

Video Input: Bosphorus 4K

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

x265

Video Input: Bosphorus 4K

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

x265

CPU Power Consumption Monitor

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

Xcompact3d Incompact3d

Input: input.i3d 193 Cells Per Direction

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

Xcompact3d Incompact3d

CPU Power Consumption Monitor

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

Xcompact3d Incompact3d

Input: X3D-benchmarking input.i3d

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: X3D-benchmarking input.i3dZen 1 - EPYC 7601Zen 4C - EPYC 8534PN2004006008001000SE +/- 0.24, N = 3SE +/- 1.66, N = 3818.05562.361. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

Xcompact3d Incompact3d

CPU Power Consumption Monitor

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

Xmrig

Variant: Monero - Hash Count: 1M

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

Xmrig

Variant: Monero - Hash Count: 1M

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

Xmrig

CPU Power Consumption Monitor

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

Xmrig

Variant: Wownero - Hash Count: 1M

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

Xmrig

Variant: Wownero - Hash Count: 1M

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

Xmrig

CPU Power Consumption Monitor

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

Xmrig

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

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: CryptoNight-Femto UPX2 - Hash Count: 1MZen 1 - EPYC 7601Zen 4C - EPYC 8534PN4K8K12K16K20KSE +/- 75.94, N = 12SE +/- 7.38, N = 36957.220699.51. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Xmrig

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

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

Xmrig

CPU Power Consumption Monitor

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

Xmrig

Variant: CryptoNight-Heavy - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: CryptoNight-Heavy - Hash Count: 1MZen 1 - EPYC 7601Zen 4C - EPYC 8534PN4K8K12K16K20KSE +/- 21.41, N = 3SE +/- 174.63, N = 37081.020541.81. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Xmrig

Variant: CryptoNight-Heavy - Hash Count: 1M

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

Xmrig

CPU Power Consumption Monitor

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

Xmrig

Variant: KawPow - Hash Count: 1M

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

Xmrig

Variant: KawPow - Hash Count: 1M

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

Xmrig

CPU Power Consumption Monitor

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

Xmrig

Variant: GhostRider - Hash Count: 1M

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

Xmrig

Variant: GhostRider - Hash Count: 1M

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

Xmrig

CPU Power Consumption Monitor

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

Y-Cruncher

Pi Digits To Calculate: 500M

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

Y-Cruncher

CPU Power Consumption Monitor

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

Y-Cruncher

Pi Digits To Calculate: 1B

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

Y-Cruncher

CPU Power Consumption Monitor

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


Phoronix Test Suite v10.8.5