AMD EPYC Milan-X Mid-2022 Refresh Benchmarks

2 x AMD EPYC 7773X 64-Core testing with a AMD DAYTONA_X (RYM1009B BIOS) and ASPEED on Ubuntu 22.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2207019-NE-AMDEPYCMI77
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
EPYC 7773X 2P
June 29 2022
  1 Day, 12 Hours, 7 Minutes
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EPYC 7773X 2P

Processor: 2 x AMD EPYC 7773X 64-Core @ 2.20GHz (128 Cores / 256 Threads), Motherboard: AMD DAYTONA_X (RYM1009B BIOS), Chipset: AMD Starship/Matisse, Memory: 512GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Monitor: VE228, Network: 2 x Mellanox MT27710

OS: Ubuntu 22.04, Kernel: 5.19.0-051900rc4daily20220628-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.3, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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,brig,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-targets=nvptx-none=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-gBFGDP/gcc-11-11.2.0/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 Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001229
Java Notes: OpenJDK Runtime Environment (build 11.0.15+10-Ubuntu-0ubuntu0.22.04.1)
Python Notes: Python 3.10.4
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

AMD EPYC Milan-X Mid-2022 Refresh BenchmarksOpenBenchmarking.orgPhoronix Test Suite2 x AMD EPYC 7773X 64-Core @ 2.20GHz (128 Cores / 256 Threads)AMD DAYTONA_X (RYM1009B BIOS)AMD Starship/Matisse512GB3841GB Micron_9300_MTFDHAL3T8TDPASPEEDVE2282 x Mellanox MT27710Ubuntu 22.045.19.0-051900rc4daily20220628-generic (x86_64)GNOME Shell 42.2X Server 1.21.1.31.2.204GCC 11.2.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerVulkanCompilerFile-SystemScreen ResolutionAMD EPYC Milan-X Mid-2022 Refresh Benchmarks PerformanceSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,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-targets=nvptx-none=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001229 - OpenJDK Runtime Environment (build 11.0.15+10-Ubuntu-0ubuntu0.22.04.1)- Python 3.10.4- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

AMD EPYC Milan-X Mid-2022 Refresh Benchmarksbrl-cad: VGR Performance Metricpyhpc: CPU - Numpy - 4194304 - Isoneutral Mixingpyhpc: CPU - Numpy - 4194304 - Equation of Stateapache: 1000apache: 500apache: 200onnx: ArcFace ResNet-100 - CPU - Standardonnx: bertsquad-12 - CPU - Standardnginx: 1000nginx: 500nginx: 200clickhouse: 100M Rows Web Analytics Dataset, Third Runclickhouse: 100M Rows Web Analytics Dataset, Second Runclickhouse: 100M Rows Web Analytics Dataset, First Run / Cold Cachejava-jmh: Throughputrocksdb: Read Rand Write Randrocksdb: Read While Writingrocksdb: Update Randrocksdb: Rand Readcassandra: Writessysbench: CPUsysbench: RAM / Memoryblender: Pabellon Barcelona - CPU-Onlyblender: Barbershop - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Classroom - CPU-Onlyblender: BMW27 - CPU-Onlygpaw: Carbon Nanotuberedis: GETdraco: Church Facadedraco: Liontoktx: UASTC 4 + Zstd Compression 19toktx: UASTC 3 + Zstd Compression 19toktx: Zstd Compression 19toktx: Zstd Compression 9toktx: UASTC 3astcenc: Exhaustiveastcenc: Thoroughpgbench: 1000 - 500 - Read Write - Average Latencypgbench: 1000 - 500 - Read Writepgbench: 1000 - 250 - Read Write - Average Latencypgbench: 1000 - 250 - Read Writepgbench: 1000 - 250 - Read Only - Average Latencypgbench: 1000 - 250 - Read Onlypgbench: 100 - 250 - Read Write - Average Latencypgbench: 100 - 250 - Read Writepgbench: 100 - 500 - Read Only - Average Latencypgbench: 100 - 500 - Read Onlypgbench: 100 - 250 - Read Only - Average Latencypgbench: 100 - 250 - Read Onlymysqlslap: 512mysqlslap: 256gromacs: MPI CPU - water_GMX50_baregraph500: 26graph500: 26graph500: 26graph500: 26askap: Hogbom Clean OpenMPaskap: tConvolve OpenMP - Degriddingaskap: tConvolve OpenMP - Griddingaskap: tConvolve MPI - Griddingaskap: tConvolve MPI - Degriddingaskap: tConvolve MT - Griddingliquid-dsp: 256 - 256 - 57liquid-dsp: 128 - 256 - 57liquid-dsp: 64 - 256 - 57openssl: RSA4096openssl: RSA4096openssl: SHA256cpuminer-opt: Triple SHA-256, Onecoincpuminer-opt: Quad SHA-256, Pyritecpuminer-opt: Myriad-Groestlcpuminer-opt: Skeincoincpuminer-opt: Garlicoincpuminer-opt: Blake-2 Scpuminer-opt: Ringcoincpuminer-opt: Deepcoincpuminer-opt: x25xcpuminer-opt: Magiaircrack-ng: webp2: Quality 100, Lossless Compressionwebp2: Quality 100, Compression Effort 5webp2: Quality 95, Compression Effort 7webp2: Quality 75, Compression Effort 7tachyon: Total Timengspice: C7552ngspice: C2670m-queens: Time To Solvenumpy: ospray-studio: 3 - 1080p - 32 - Path Tracerospray-studio: 3 - 1080p - 16 - Path Tracerospray-studio: 2 - 1080p - 32 - Path Tracerospray-studio: 2 - 1080p - 16 - Path Tracerospray-studio: 1 - 1080p - 32 - Path Tracerospray-studio: 1 - 1080p - 16 - Path Tracerospray-studio: 3 - 1080p - 1 - Path Tracerospray-studio: 2 - 1080p - 1 - Path Tracerospray-studio: 1 - 1080p - 1 - Path Tracerospray-studio: 3 - 4K - 32 - Path Tracerospray-studio: 3 - 4K - 16 - Path Tracerospray-studio: 2 - 4K - 32 - Path Tracerospray-studio: 2 - 4K - 16 - Path Tracerospray-studio: 1 - 4K - 32 - Path Tracerospray-studio: 1 - 4K - 16 - Path Tracerospray-studio: 3 - 4K - 1 - Path Tracerospray-studio: 2 - 4K - 1 - Path Tracerospray-studio: 1 - 4K - 1 - Path Traceronednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUrays1bench: Large Sceneprimesieve: 1e12 Prime Number Generationpovray: Trace Timec-ray: Total Time - 4K, 16 Rays Per Pixelbuild-nodejs: Time To Compilebuild-mplayer: Time To Compilebuild-mesa: Time To Compilebuild-llvm: Unix Makefilesbuild-llvm: Ninjabuild-linux-kernel: allmodconfigbuild-linux-kernel: defconfigbuild-imagemagick: Time To Compilebuild-godot: Time To Compilebuild-gem5: Time To Compileavifenc: 10, Losslessavifenc: 6, Losslessavifenc: 6avifenc: 2avifenc: 0asmfish: 1024 Hash Memory, 26 Depthospray: gravity_spheres_volume/dim_512/pathtracer/real_timeospray: gravity_spheres_volume/dim_512/scivis/real_timeospray: gravity_spheres_volume/dim_512/ao/real_timeospray: particle_volume/scivis/real_timeospray: particle_volume/ao/real_timeopenvkl: vklBenchmark ISPCoidn: RTLightmap.hdr.4096x4096oidn: RT.ldr_alb_nrm.3840x2160oidn: RT.hdr_alb_nrm.3840x2160mt-dgemm: Sustained Floating-Point Ratex265: Bosphorus 4Kx264: Bosphorus 4Ksvt-hevc: 7 - Bosphorus 4Ksvt-hevc: 1 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 10 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 4 - Bosphorus 4Kkvazaar: Bosphorus 4K - Ultra Fastkvazaar: Bosphorus 4K - Very Fastkvazaar: Bosphorus 4K - Mediumembree: Pathtracer ISPC - Asian Dragon Objembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer - Asian Dragon Objembree: Pathtracer - Asian Dragonembree: Pathtracer ISPC - Crownembree: Pathtracer - Crownaom-av1: Speed 10 Realtime - Bosphorus 4Kaom-av1: Speed 9 Realtime - Bosphorus 4Kaom-av1: Speed 8 Realtime - Bosphorus 4Kaom-av1: Speed 6 Two-Pass - Bosphorus 4Kaom-av1: Speed 6 Realtime - Bosphorus 4Kaom-av1: Speed 4 Two-Pass - Bosphorus 4Kaom-av1: Speed 0 Two-Pass - Bosphorus 4Kgraphics-magick: HWB Color Spacegraphics-magick: Noise-Gaussiangraphics-magick: Enhancedgraphics-magick: Sharpengraphics-magick: Rotategraphics-magick: Swirlluxcorerender: LuxCore Benchmark - CPUluxcorerender: Orange Juice - CPUluxcorerender: DLSC - CPUcompress-zstd: 19, Long Mode - Decompression Speedcompress-zstd: 19, Long Mode - Compression Speedcompress-zstd: 19 - Decompression Speedcompress-zstd: 19 - Compression Speedxmrig: Wownero - 1Mxmrig: Monero - 1Msimdjson: DistinctUserIDsimdjson: PartialTweetssimdjson: LargeRandsimdjson: TopTweetsimdjson: Kostyawebp: Quality 100, Lossless, Highest Compressionwebp: Quality 100, Highest Compressionwebp: Quality 100, Losslesswebp: Quality 100webp: Defaultlulesh: lammps: 20k Atomsrelion: Basic - CPUopenfoam: drivaerFastback, Medium Mesh Size - Execution Timeopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timeopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Small Mesh Size - Mesh Timeopenfoam: motorBike - Execution Timeopenfoam: motorBike - Mesh Timeincompact3d: input.i3d 193 Cells Per Directionincompact3d: input.i3d 129 Cells Per Directionincompact3d: X3D-benchmarking input.i3dnwchem: C240 Buckyballpennant: sedovbigffte: N=256, 3D Complex FFT Routineamg: toybrot: C++ Threadstoybrot: C++ Taskstoybrot: OpenMPtoybrot: TBBnamd: ATPase Simulation - 327,506 Atomsrodinia: OpenMP CFD Solverrodinia: OpenMP Leukocyterodinia: OpenMP LavaMDminife: Smalllczero: Eigenlczero: BLASnpb: SP.Cnpb: SP.Bnpb: MG.Cnpb: LU.Cnpb: IS.Dnpb: FT.Cnpb: EP.Cnpb: CG.Cnpb: BT.Chpcg: etcpak: Multi-Threaded - ETC2onnx: super-resolution-10 - CPU - Standardonnx: fcn-resnet101-11 - CPU - Standardonnx: yolov4 - CPU - Standardonnx: GPT-2 - CPU - Standardredis: SETpgbench: 1000 - 500 - Read Only - Average Latencypgbench: 1000 - 500 - Read Onlypgbench: 100 - 500 - Read Write - Average Latencypgbench: 100 - 500 - Read Writetensorflow-lite: Mobilenet Quanttensorflow-lite: Mobilenet Floattensorflow-lite: NASNet Mobiletensorflow-lite: Inception V4tensorflow-lite: SqueezeNetaskap: tConvolve MT - Degriddingcpuminer-opt: LBC, LBRY Creditswebp2: Defaultonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUstockfish: Total Timeospray: particle_volume/pathtracer/real_timeopenvkl: vklBenchmark Scalarsvt-hevc: 10 - Bosphorus 4Kgraphics-magick: Resizingluxcorerender: Rainbow Colors and Prism - CPUluxcorerender: Danish Mood - CPUpennant: leblancbigrodinia: OpenMP Streamclusterrodinia: OpenMP HotSpot3Dnpb: EP.DEPYC 7773X 2P30886522.0190.89486754.4497855.03117068.34101954387065.3385974.9987686.13421.77421.91394.48156410828590.72298720217337506280517552477539216547528284.427808.7548.81148.6919.7938.7915.5137.7562402083.075830493433.9037.52717.4692.9373.8845.93165.304924.6602027710.595236410.3557049409.489263600.19425712220.097258566143243611.074393365000312978000625499000596996000417.20013593.111786.870367.562354.45535.395826033333555293333333488333331784848.527099.3153461007540310169610370771337313375472479072771903318.68817742992.654517.51196064.495551.0293.511238.324112.16515.3971102.218139.4855.723475.51105155262907145328915445232828527841541207893594417942352871757512971131109929.76362807.346807.602798.436728.222756.316489.89582.922.4557.4495.74195.0508.49017.966171.30292.549139.94819.9809.85838.077151.2685.8677.5333.89441.68377.12228427917425.704915.573116.402632.249532.61052490.941.951.9450.56211721.9572.93152.6017.53174.277144.77965.6963.70554.3652.2030.6482.656393.451382.074796.3574115.9876127.358855.8557.0441.3112.3922.106.600.21685601143188168824357.5221.8114.043308.958.93320.7107.549710.643888.34.213.660.954.22.7637.6497.33218.1522.3521.50542133.73437.387148.315172.69103.26172.17103.3271.0840.619.958869192.31085810265.2049361996.45.094068225092.73912028200191600038443993411036650.225545.91043.74725.22624565.658955923228945.27152554.57123826.94394724.965085.97127926.749459.2450299.77373690.1537.66346969.932494025929288841849652.540.65576982015.7773194228343.811113.1823416193169.415738.611138.82923582.95015.11148320024554149.181171177.7015819.048.093.3937307.47389.97410096.21OpenBenchmarking.org

Meta Performance Per Watts

OpenBenchmarking.orgPerformance Per Watts, More Is BetterMeta Performance Per WattsPerformance Per WattsEPYC 7773X 2P90018002700360045004170.61

BRL-CAD

BRL-CAD is a cross-platform, open-source solid modeling system with built-in benchmark mode. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.32.2VGR Performance MetricEPYC 7773X 2P700K1400K2100K2800K3500K30886521. (CXX) g++ options: -std=c++11 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -ldl -lm
OpenBenchmarking.orgVGR Performance Metric Per Watt, More Is BetterBRL-CAD 7.32.2VGR Performance MetricEPYC 7773X 2P4K8K12K16K20K18077.97
OpenBenchmarking.orgWatts, Fewer Is BetterBRL-CAD 7.32.2CPU Power Consumption MonitorEPYC 7773X 2P70140210280350Min: 73.96 / Avg: 170.85 / Max: 366.6

PyHPC Benchmarks

PyHPC-Benchmarks is a suite of Python high performance computing benchmarks for execution on CPUs and GPUs using various popular Python HPC libraries. The PyHPC CPU-based benchmarks focus on sequential CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Isoneutral MixingEPYC 7773X 2P0.45430.90861.36291.81722.2715SE +/- 0.001, N = 32.019
MinAvgMaxEPYC 7773X 2P75.9143.4152.4OpenBenchmarking.orgWatts, Fewer Is BetterPyHPC Benchmarks 3.0CPU Power Consumption Monitor40801201602001. EPYC 7773X 2P: Approximate power consumption of 15348 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Equation of StateEPYC 7773X 2P0.20120.40240.60360.80481.006SE +/- 0.001, N = 30.894
MinAvgMaxEPYC 7773X 2P74.7146.0177.5OpenBenchmarking.orgWatts, Fewer Is BetterPyHPC Benchmarks 3.0CPU Power Consumption Monitor501001502002501. EPYC 7773X 2P: Approximate power consumption of 5257 Joules per run.

Apache HTTP Server

This is a test of the Apache HTTPD web server. This Apache HTTPD web server benchmark test profile makes use of the Golang "Bombardier" program for facilitating the HTTP requests over a fixed period time with a configurable number of concurrent clients. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterApache HTTP Server 2.4.48Concurrent Requests: 1000EPYC 7773X 2P20K40K60K80K100KSE +/- 484.05, N = 386754.441. (CC) gcc options: -shared -fPIC -O2
OpenBenchmarking.orgRequests Per Second Per Watt, More Is BetterApache HTTP Server 2.4.48Concurrent Requests: 1000EPYC 7773X 2P50100150200250214.85
MinAvgMaxEPYC 7773X 2P75.6403.8443.1OpenBenchmarking.orgWatts, Fewer Is BetterApache HTTP Server 2.4.48CPU Power Consumption Monitor1202403604806001. EPYC 7773X 2P: Approximate power consumption of 39842 Joules per run.

OpenBenchmarking.orgRequests Per Second, More Is BetterApache HTTP Server 2.4.48Concurrent Requests: 500EPYC 7773X 2P20K40K60K80K100KSE +/- 769.49, N = 397855.031. (CC) gcc options: -shared -fPIC -O2
OpenBenchmarking.orgRequests Per Second Per Watt, More Is BetterApache HTTP Server 2.4.48Concurrent Requests: 500EPYC 7773X 2P50100150200250243.72
MinAvgMaxEPYC 7773X 2P76.2401.5433.7OpenBenchmarking.orgWatts, Fewer Is BetterApache HTTP Server 2.4.48CPU Power Consumption Monitor1102203304405501. EPYC 7773X 2P: Approximate power consumption of 38679 Joules per run.

OpenBenchmarking.orgRequests Per Second, More Is BetterApache HTTP Server 2.4.48Concurrent Requests: 200EPYC 7773X 2P30K60K90K120K150KSE +/- 1253.21, N = 3117068.341. (CC) gcc options: -shared -fPIC -O2
OpenBenchmarking.orgRequests Per Second Per Watt, More Is BetterApache HTTP Server 2.4.48Concurrent Requests: 200EPYC 7773X 2P60120180240300291.40
MinAvgMaxEPYC 7773X 2P76.6401.7443.4OpenBenchmarking.orgWatts, Fewer Is BetterApache HTTP Server 2.4.48CPU Power Consumption Monitor1202403604806001. EPYC 7773X 2P: Approximate power consumption of 38702 Joules per run.

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardEPYC 7773X 2P2004006008001000SE +/- 17.04, N = 1210191. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.11Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardEPYC 7773X 2P0.5761.1521.7282.3042.882.56
OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.11CPU Power Consumption MonitorEPYC 7773X 2P80160240320400Min: 77.39 / Avg: 398.08 / Max: 435.921. EPYC 7773X 2P: Approximate power consumption of 49628 Joules per run.

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: bertsquad-12 - Device: CPU - Executor: StandardEPYC 7773X 2P120240360480600SE +/- 5.60, N = 55431. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.11Model: bertsquad-12 - Device: CPU - Executor: StandardEPYC 7773X 2P0.30920.61840.92761.23681.5461.374
MinAvgMaxEPYC 7773X 2P75.7395.2417.6OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.11CPU Power Consumption Monitor1102203304405501. EPYC 7773X 2P: Approximate power consumption of 49238 Joules per run.

nginx

This is a benchmark of the lightweight Nginx HTTP(S) web-server. This Nginx web server benchmark test profile makes use of the Golang "Bombardier" program for facilitating the HTTP requests over a fixed period time with a configurable number of concurrent clients. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.21.1Concurrent Requests: 1000EPYC 7773X 2P20K40K60K80K100KSE +/- 131.31, N = 387065.331. (CC) gcc options: -lcrypt -lz -O3 -march=native
OpenBenchmarking.orgRequests Per Second Per Watt, More Is Betternginx 1.21.1Concurrent Requests: 1000EPYC 7773X 2P60120180240300270.12
MinAvgMaxEPYC 7773X 2P75.5322.3345.9OpenBenchmarking.orgWatts, Fewer Is Betternginx 1.21.1CPU Power Consumption Monitor1002003004005001. EPYC 7773X 2P: Approximate power consumption of 31050 Joules per run.

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.21.1Concurrent Requests: 500EPYC 7773X 2P20K40K60K80K100KSE +/- 120.41, N = 385974.991. (CC) gcc options: -lcrypt -lz -O3 -march=native
OpenBenchmarking.orgRequests Per Second Per Watt, More Is Betternginx 1.21.1Concurrent Requests: 500EPYC 7773X 2P60120180240300267.55
MinAvgMaxEPYC 7773X 2P78.1321.3344.2OpenBenchmarking.orgWatts, Fewer Is Betternginx 1.21.1CPU Power Consumption Monitor801602403204001. EPYC 7773X 2P: Approximate power consumption of 30956 Joules per run.

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.21.1Concurrent Requests: 200EPYC 7773X 2P20K40K60K80K100KSE +/- 126.91, N = 387686.131. (CC) gcc options: -lcrypt -lz -O3 -march=native
OpenBenchmarking.orgRequests Per Second Per Watt, More Is Betternginx 1.21.1Concurrent Requests: 200EPYC 7773X 2P60120180240300279.75
MinAvgMaxEPYC 7773X 2P76.3313.4337.6OpenBenchmarking.orgWatts, Fewer Is Betternginx 1.21.1CPU Power Consumption Monitor801602403204001. EPYC 7773X 2P: Approximate power consumption of 30195 Joules per run.

ClickHouse

ClickHouse is an open-source, high performance OLAP data management system. This test profile uses ClickHouse's standard benchmark recommendations per https://clickhouse.com/docs/en/operations/performance-test/ with the 100 million rows web analytics dataset. The reported value is the query processing time using the geometric mean of all queries performed. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse100M Rows Web Analytics Dataset, Third RunEPYC 7773X 2P90180270360450SE +/- 2.94, N = 13421.77MIN: 72.82 / MAX: 200001. ClickHouse server version 22.7.1.687 (official build).
OpenBenchmarking.orgQueries Per Minute, Geo Mean Per Watt, More Is BetterClickHouse100M Rows Web Analytics Dataset, Third RunEPYC 7773X 2P0.36360.72721.09081.45441.8181.616
MinAvgMaxEPYC 7773X 2P75.7260.9403.2OpenBenchmarking.orgWatts, Fewer Is BetterClickHouseCPU Power Consumption Monitor1102203304405501. EPYC 7773X 2P: Approximate power consumption of 10799 Joules per run.

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse100M Rows Web Analytics Dataset, Second RunEPYC 7773X 2P90180270360450SE +/- 2.37, N = 13421.91MIN: 74.91 / MAX: 200001. ClickHouse server version 22.7.1.687 (official build).

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse100M Rows Web Analytics Dataset, First Run / Cold CacheEPYC 7773X 2P90180270360450SE +/- 6.54, N = 13394.48MIN: 49.46 / MAX: 200001. ClickHouse server version 22.7.1.687 (official build).

Java JMH

This very basic test profile runs the stock benchmark of the Java JMH benchmark via Maven. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/s, More Is BetterJava JMHThroughputEPYC 7773X 2P30000M60000M90000M120000M150000M156410828590.72
OpenBenchmarking.orgOps/s Per Watt, More Is BetterJava JMHThroughputEPYC 7773X 2P70M140M210M280M350M335004508.26
MinAvgMaxEPYC 7773X 2P75.8466.9534.3OpenBenchmarking.orgWatts, Fewer Is BetterJava JMHCPU Power Consumption Monitor140280420560700

Facebook RocksDB

This is a benchmark of Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.0.1Test: Read Random Write RandomEPYC 7773X 2P600K1200K1800K2400K3000KSE +/- 5452.38, N = 329872021. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterFacebook RocksDB 7.0.1Test: Read Random Write RandomEPYC 7773X 2P150030004500600075007031.60
MinAvgMaxEPYC 7773X 2P76.5424.8488.8OpenBenchmarking.orgWatts, Fewer Is BetterFacebook RocksDB 7.0.1CPU Power Consumption Monitor1302603905206501. EPYC 7773X 2P: Approximate power consumption of 27330 Joules per run.

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.0.1Test: Read While WritingEPYC 7773X 2P4M8M12M16M20MSE +/- 238031.79, N = 15173375061. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterFacebook RocksDB 7.0.1Test: Read While WritingEPYC 7773X 2P8K16K24K32K40K35478.94
MinAvgMaxEPYC 7773X 2P77.5488.7569.5OpenBenchmarking.orgWatts, Fewer Is BetterFacebook RocksDB 7.0.1CPU Power Consumption Monitor1402804205607001. EPYC 7773X 2P: Approximate power consumption of 31079 Joules per run.

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.0.1Test: Update RandomEPYC 7773X 2P60K120K180K240K300KSE +/- 2263.57, N = 152805171. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterFacebook RocksDB 7.0.1Test: Update RandomEPYC 7773X 2P2004006008001000931.91
MinAvgMaxEPYC 7773X 2P77.1301.0366.4OpenBenchmarking.orgWatts, Fewer Is BetterFacebook RocksDB 7.0.1CPU Power Consumption Monitor1002003004005001. EPYC 7773X 2P: Approximate power consumption of 19466 Joules per run.

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.0.1Test: Random ReadEPYC 7773X 2P120M240M360M480M600MSE +/- 520325.54, N = 35524775391. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s Per Watt, More Is BetterFacebook RocksDB 7.0.1Test: Random ReadEPYC 7773X 2P200K400K600K800K1000K1161305.26
MinAvgMaxEPYC 7773X 2P76.3475.7513.4OpenBenchmarking.orgWatts, Fewer Is BetterFacebook RocksDB 7.0.1CPU Power Consumption Monitor1302603905206501. EPYC 7773X 2P: Approximate power consumption of 30289 Joules per run.

Apache Cassandra

This is a benchmark of the Apache Cassandra NoSQL database management system making use of cassandra-stress. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.0Test: WritesEPYC 7773X 2P50K100K150K200K250KSE +/- 2805.95, N = 3216547
OpenBenchmarking.orgOp/s Per Watt, More Is BetterApache Cassandra 4.0Test: WritesEPYC 7773X 2P130260390520650616.53
MinAvgMaxEPYC 7773X 2P75.5351.2420.8OpenBenchmarking.orgWatts, Fewer Is BetterApache Cassandra 4.0CPU Power Consumption Monitor1102203304405501. EPYC 7773X 2P: Approximate power consumption of 50929 Joules per run.

Sysbench

This is a benchmark of Sysbench with the built-in CPU and memory sub-tests. Sysbench is a scriptable multi-threaded benchmark tool based on LuaJIT. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEvents Per Second, More Is BetterSysbench 1.0.20Test: CPUEPYC 7773X 2P110K220K330K440K550KSE +/- 548.86, N = 3528284.421. (CC) gcc options: -O2 -funroll-loops -rdynamic -ldl -laio -lm
OpenBenchmarking.orgEvents Per Second Per Watt, More Is BetterSysbench 1.0.20Test: CPUEPYC 7773X 2P20040060080010001130.91
MinAvgMaxEPYC 7773X 2P79.2467.1498.2OpenBenchmarking.orgWatts, Fewer Is BetterSysbench 1.0.20CPU Power Consumption Monitor1302603905206501. EPYC 7773X 2P: Approximate power consumption of 43599 Joules per run.

OpenBenchmarking.orgMiB/sec, More Is BetterSysbench 1.0.20Test: RAM / MemoryEPYC 7773X 2P2K4K6K8K10KSE +/- 62.77, N = 47808.751. (CC) gcc options: -O2 -funroll-loops -rdynamic -ldl -laio -lm
OpenBenchmarking.orgMiB/sec Per Watt, More Is BetterSysbench 1.0.20Test: RAM / MemoryEPYC 7773X 2P81624324032.69
MinAvgMaxEPYC 7773X 2P77.2238.9301.9OpenBenchmarking.orgWatts, Fewer Is BetterSysbench 1.0.20CPU Power Consumption Monitor801602403204001. EPYC 7773X 2P: Approximate power consumption of 4121 Joules per run.

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported and HIP for AMD Radeon GPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.2Blend File: Pabellon Barcelona - Compute: CPU-OnlyEPYC 7773X 2P1122334455SE +/- 0.05, N = 348.81
MinAvgMaxEPYC 7773X 2P76.9515.4572.7OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.2CPU Power Consumption Monitor1402804205607001. EPYC 7773X 2P: Approximate power consumption of 27318 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.2Blend File: Barbershop - Compute: CPU-OnlyEPYC 7773X 2P306090120150SE +/- 0.10, N = 3148.69
MinAvgMaxEPYC 7773X 2P75.3536.1573.5OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.2CPU Power Consumption Monitor1402804205607001. EPYC 7773X 2P: Approximate power consumption of 82745 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.2Blend File: Fishy Cat - Compute: CPU-OnlyEPYC 7773X 2P510152025SE +/- 0.11, N = 319.79
MinAvgMaxEPYC 7773X 2P76.0448.0570.8OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.2CPU Power Consumption Monitor1402804205607001. EPYC 7773X 2P: Approximate power consumption of 11050 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.2Blend File: Classroom - Compute: CPU-OnlyEPYC 7773X 2P918273645SE +/- 0.04, N = 338.79
MinAvgMaxEPYC 7773X 2P76.8503.3566.3OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.2CPU Power Consumption Monitor1402804205607001. EPYC 7773X 2P: Approximate power consumption of 21809 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.2Blend File: BMW27 - Compute: CPU-OnlyEPYC 7773X 2P48121620SE +/- 0.03, N = 415.51
MinAvgMaxEPYC 7773X 2P74.5435.1572.5OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.2CPU Power Consumption Monitor1402804205607001. EPYC 7773X 2P: Approximate power consumption of 8594 Joules per run.

GPAW

GPAW is a density-functional theory (DFT) Python code based on the projector-augmented wave (PAW) method and the atomic simulation environment (ASE). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 22.1Input: Carbon NanotubeEPYC 7773X 2P918273645SE +/- 0.15, N = 337.761. (CC) gcc options: -shared -fwrapv -O2 -lxc -lblas -lmpi
MinAvgMaxEPYC 7773X 2P73.4475.7568.7OpenBenchmarking.orgWatts, Fewer Is BetterGPAW 22.1CPU Power Consumption Monitor1402804205607001. EPYC 7773X 2P: Approximate power consumption of 20454 Joules per run.

Redis

Redis is an open-source in-memory data structure store, used as a database, cache, and message broker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: GETEPYC 7773X 2P500K1000K1500K2000K2500KSE +/- 21745.09, N = 152402083.071. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second Per Watt, More Is BetterRedis 6.0.9Test: GETEPYC 7773X 2P6K12K18K24K30K26186.71
MinAvgMaxEPYC 7773X 2P74.091.7136.9OpenBenchmarking.orgWatts, Fewer Is BetterRedis 6.0.9CPU Power Consumption Monitor40801201602001. EPYC 7773X 2P: Approximate power consumption of 1663 Joules per run.

Google Draco

Draco is a library developed by Google for compressing/decompressing 3D geometric meshes and point clouds. This test profile uses some Artec3D PLY models as the sample 3D model input formats for Draco compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterGoogle Draco 1.5.0Model: Church FacadeEPYC 7773X 2P12002400360048006000SE +/- 10.77, N = 658301. (CXX) g++ options: -O3
MinAvgMaxEPYC 7773X 2P75.1113.8136.1OpenBenchmarking.orgWatts, Fewer Is BetterGoogle Draco 1.5.0CPU Power Consumption Monitor40801201602001. EPYC 7773X 2P: Approximate power consumption of 1271 Joules per run.

OpenBenchmarking.orgms, Fewer Is BetterGoogle Draco 1.5.0Model: LionEPYC 7773X 2P11002200330044005500SE +/- 3.39, N = 749341. (CXX) g++ options: -O3
MinAvgMaxEPYC 7773X 2P74.1112.1136.7OpenBenchmarking.orgWatts, Fewer Is BetterGoogle Draco 1.5.0CPU Power Consumption Monitor40801201602001. EPYC 7773X 2P: Approximate power consumption of 1137 Joules per run.

KTX-Software toktx

This is a benchmark of The Khronos Group's KTX-Software library and tools. KTX-Software provides "toktx" for converting/creating in the KTX container format for image textures. This benchmark times how long it takes to convert to KTX 2.0 format with various settings using a reference PNG sample input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterKTX-Software toktx 4.0Settings: UASTC 4 + Zstd Compression 19EPYC 7773X 2P816243240SE +/- 0.07, N = 333.90
MinAvgMaxEPYC 7773X 2P76.8424.6555.7OpenBenchmarking.orgWatts, Fewer Is BetterKTX-Software toktx 4.0CPU Power Consumption Monitor1402804205607001. EPYC 7773X 2P: Approximate power consumption of 16134 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterKTX-Software toktx 4.0Settings: UASTC 3 + Zstd Compression 19EPYC 7773X 2P246810SE +/- 0.035, N = 67.527
MinAvgMaxEPYC 7773X 2P75.5148.1490.9OpenBenchmarking.orgWatts, Fewer Is BetterKTX-Software toktx 4.0CPU Power Consumption Monitor1302603905206501. EPYC 7773X 2P: Approximate power consumption of 1703 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterKTX-Software toktx 4.0Settings: Zstd Compression 19EPYC 7773X 2P48121620SE +/- 0.02, N = 317.47
MinAvgMaxEPYC 7773X 2P76.0123.3134.7OpenBenchmarking.orgWatts, Fewer Is BetterKTX-Software toktx 4.0CPU Power Consumption Monitor40801201602001. EPYC 7773X 2P: Approximate power consumption of 2671 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterKTX-Software toktx 4.0Settings: Zstd Compression 9EPYC 7773X 2P0.66081.32161.98242.64323.304SE +/- 0.001, N = 92.937
MinAvgMaxEPYC 7773X 2P75.3102.4135.2OpenBenchmarking.orgWatts, Fewer Is BetterKTX-Software toktx 4.0CPU Power Consumption Monitor40801201602001. EPYC 7773X 2P: Approximate power consumption of 706 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterKTX-Software toktx 4.0Settings: UASTC 3EPYC 7773X 2P0.87391.74782.62173.49564.3695SE +/- 0.019, N = 83.884
MinAvgMaxEPYC 7773X 2P75.5155.5492.7OpenBenchmarking.orgWatts, Fewer Is BetterKTX-Software toktx 4.0CPU Power Consumption Monitor1302603905206501. EPYC 7773X 2P: Approximate power consumption of 1225 Joules per run.

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 3.2Preset: ExhaustiveEPYC 7773X 2P1.33462.66924.00385.33846.673SE +/- 0.0015, N = 55.93161. (CXX) g++ options: -O3 -flto -pthread
MinAvgMaxEPYC 7773X 2P75.6293.6572.9OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 3.2CPU Power Consumption Monitor1402804205607001. EPYC 7773X 2P: Approximate power consumption of 4228 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 3.2Preset: ThoroughEPYC 7773X 2P1.19362.38723.58084.77445.968SE +/- 0.0083, N = 75.30491. (CXX) g++ options: -O3 -flto -pthread
MinAvgMaxEPYC 7773X 2P77.9143.7419.8OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 3.2CPU Power Consumption Monitor1102203304405501. EPYC 7773X 2P: Approximate power consumption of 1354 Joules per run.

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 14.0Scaling Factor: 1000 - Clients: 500 - Mode: Read Write - Average LatencyEPYC 7773X 2P612182430SE +/- 0.13, N = 324.661. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
MinAvgMaxEPYC 7773X 2P76.9243.0395.9OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 14.0CPU Power Consumption Monitor1102203304405501. EPYC 7773X 2P: Approximate power consumption of 52805 Joules per run.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 14.0Scaling Factor: 1000 - Clients: 500 - Mode: Read WriteEPYC 7773X 2P4K8K12K16K20KSE +/- 104.40, N = 3202771. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 14.0Scaling Factor: 1000 - Clients: 250 - Mode: Read Write - Average LatencyEPYC 7773X 2P3691215SE +/- 0.14, N = 1210.601. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 14.0CPU Power Consumption MonitorEPYC 7773X 2P80160240320400Min: 75.52 / Avg: 249.68 / Max: 425.11. EPYC 7773X 2P: Approximate power consumption of 54637 Joules per run.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 14.0Scaling Factor: 1000 - Clients: 250 - Mode: Read WriteEPYC 7773X 2P5K10K15K20K25KSE +/- 329.58, N = 12236411. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 14.0Scaling Factor: 1000 - Clients: 250 - Mode: Read Only - Average LatencyEPYC 7773X 2P0.07990.15980.23970.31960.3995SE +/- 0.004, N = 120.3551. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 14.0CPU Power Consumption MonitorEPYC 7773X 2P100200300400500Min: 75.46 / Avg: 376.06 / Max: 585.491. EPYC 7773X 2P: Approximate power consumption of 81793 Joules per run.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 14.0Scaling Factor: 1000 - Clients: 250 - Mode: Read OnlyEPYC 7773X 2P150K300K450K600K750KSE +/- 7420.45, N = 127049401. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average LatencyEPYC 7773X 2P3691215SE +/- 0.080, N = 89.4891. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
MinAvgMaxEPYC 7773X 2P74.9331.9449.7OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 14.0CPU Power Consumption Monitor1202403604806001. EPYC 7773X 2P: Approximate power consumption of 47502 Joules per run.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 250 - Mode: Read WriteEPYC 7773X 2P6K12K18K24K30KSE +/- 223.37, N = 8263601. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average LatencyEPYC 7773X 2P0.04370.08740.13110.17480.2185SE +/- 0.001, N = 30.1941. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
MinAvgMaxEPYC 7773X 2P74.9497.1574.3OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 14.0CPU Power Consumption Monitor1402804205607001. EPYC 7773X 2P: Approximate power consumption of 70760 Joules per run.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 500 - Mode: Read OnlyEPYC 7773X 2P600K1200K1800K2400K3000KSE +/- 8094.03, N = 325712221. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average LatencyEPYC 7773X 2P0.02180.04360.06540.08720.109SE +/- 0.001, N = 40.0971. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
MinAvgMaxEPYC 7773X 2P75.2498.0577.8OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 14.0CPU Power Consumption Monitor1402804205607001. EPYC 7773X 2P: Approximate power consumption of 70722 Joules per run.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 250 - Mode: Read OnlyEPYC 7773X 2P600K1200K1800K2400K3000KSE +/- 30252.52, N = 425856611. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

MariaDB

This is a MariaDB MySQL database server benchmark making use of mysqlslap. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.8.2Clients: 512EPYC 7773X 2P90180270360450SE +/- 1.31, N = 34321. (CXX) g++ options: -pie -fPIC -fstack-protector -O3 -lnuma -lpcre2-8 -lcrypt -laio -lz -lm -lssl -lcrypto -lpthread -ldl
OpenBenchmarking.orgQueries Per Second Per Watt, More Is BetterMariaDB 10.8.2Clients: 512EPYC 7773X 2P0.42460.84921.27381.69842.1231.887
OpenBenchmarking.orgWatts, Fewer Is BetterMariaDB 10.8.2CPU Power Consumption MonitorEPYC 7773X 2P4080120160200Min: 78.76 / Avg: 228.93 / Max: 244.031. EPYC 7773X 2P: Approximate power consumption of 110648 Joules per run.

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.8.2Clients: 256EPYC 7773X 2P90180270360450SE +/- 5.01, N = 44361. (CXX) g++ options: -pie -fPIC -fstack-protector -O3 -lnuma -lpcre2-8 -lcrypt -laio -lz -lm -lssl -lcrypto -lpthread -ldl
OpenBenchmarking.orgQueries Per Second Per Watt, More Is BetterMariaDB 10.8.2Clients: 256EPYC 7773X 2P0.42550.8511.27651.7022.12751.891
OpenBenchmarking.orgWatts, Fewer Is BetterMariaDB 10.8.2CPU Power Consumption MonitorEPYC 7773X 2P4080120160200Min: 73.32 / Avg: 230.57 / Max: 239.211. EPYC 7773X 2P: Approximate power consumption of 109350 Joules per run.

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing with the water_GMX50 data. This test profile allows selecting between CPU and GPU-based GROMACS builds. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2022.1Implementation: MPI CPU - Input: water_GMX50_bareEPYC 7773X 2P3691215SE +/- 0.01, N = 311.071. (CXX) g++ options: -O3
OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2022.1Implementation: MPI CPU - Input: water_GMX50_bareEPYC 7773X 2P0.00520.01040.01560.02080.0260.023
MinAvgMaxEPYC 7773X 2P75.6477.8572.9OpenBenchmarking.orgWatts, Fewer Is BetterGROMACS 2022.1CPU Power Consumption Monitor1402804205607001. EPYC 7773X 2P: Approximate power consumption of 15448 Joules per run.

Graph500

This is a benchmark of the reference implementation of Graph500, an HPC benchmark focused on data intensive loads and commonly tested on supercomputers for complex data problems. Graph500 primarily stresses the communication subsystem of the hardware under test. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsssp max_TEPS, More Is BetterGraph500 3.0Scale: 26EPYC 7773X 2P80M160M240M320M400M3933650001. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi
OpenBenchmarking.orgsssp max_TEPS Per Watt, More Is BetterGraph500 3.0Scale: 26EPYC 7773X 2P160K320K480K640K800K769319.94
MinAvgMaxEPYC 7773X 2P77.1511.3573.2OpenBenchmarking.orgWatts, Fewer Is BetterGraph500 3.0CPU Power Consumption Monitor140280420560700

OpenBenchmarking.orgsssp median_TEPS, More Is BetterGraph500 3.0Scale: 26EPYC 7773X 2P70M140M210M280M350M3129780001. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi

OpenBenchmarking.orgbfs max_TEPS, More Is BetterGraph500 3.0Scale: 26EPYC 7773X 2P130M260M390M520M650M6254990001. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi

OpenBenchmarking.orgbfs median_TEPS, More Is BetterGraph500 3.0Scale: 26EPYC 7773X 2P130M260M390M520M650M5969960001. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi

ASKAP

ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Second, More Is BetterASKAP 1.0Test: Hogbom Clean OpenMPEPYC 7773X 2P90180270360450SE +/- 3.71, N = 4417.201. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
OpenBenchmarking.orgIterations Per Second Per Watt, More Is BetterASKAP 1.0Test: Hogbom Clean OpenMPEPYC 7773X 2P0.60951.2191.82852.4383.04752.709
MinAvgMaxEPYC 7773X 2P75.8154.0366.8OpenBenchmarking.orgWatts, Fewer Is BetterASKAP 1.0CPU Power Consumption Monitor1002003004005001. EPYC 7773X 2P: Approximate power consumption of 2964 Joules per run.

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - DegriddingEPYC 7773X 2P3K6K9K12K15KSE +/- 171.64, N = 513593.11. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
OpenBenchmarking.orgMillion Grid Points Per Second Per Watt, More Is BetterASKAP 1.0Test: tConvolve OpenMP - DegriddingEPYC 7773X 2P20406080100100.42
MinAvgMaxEPYC 7773X 2P75.7135.4213.6OpenBenchmarking.orgWatts, Fewer Is BetterASKAP 1.0CPU Power Consumption Monitor601201802403001. EPYC 7773X 2P: Approximate power consumption of 1949 Joules per run.

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - GriddingEPYC 7773X 2P3K6K9K12K15KSE +/- 128.89, N = 511786.81. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingEPYC 7773X 2P15K30K45K60K75KSE +/- 395.30, N = 370367.51. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
OpenBenchmarking.orgMpix/sec Per Watt, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingEPYC 7773X 2P4080120160200163.67
MinAvgMaxEPYC 7773X 2P74.5429.9549.4OpenBenchmarking.orgWatts, Fewer Is BetterASKAP 1.0CPU Power Consumption Monitor1402804205607001. EPYC 7773X 2P: Approximate power consumption of 15908 Joules per run.

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - DegriddingEPYC 7773X 2P13K26K39K52K65KSE +/- 307.17, N = 362354.41. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - GriddingEPYC 7773X 2P12002400360048006000SE +/- 44.86, N = 95535.391. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 256 - Buffer Length: 256 - Filter Length: 57EPYC 7773X 2P1200M2400M3600M4800M6000MSE +/- 1241414.96, N = 358260333331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 2021.01.31Threads: 256 - Buffer Length: 256 - Filter Length: 57EPYC 7773X 2P3M6M9M12M15M13362176.88
MinAvgMaxEPYC 7773X 2P76.8436.0512.4OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 2021.01.31CPU Power Consumption Monitor1302603905206501. EPYC 7773X 2P: Approximate power consumption of 10319 Joules per run.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 128 - Buffer Length: 256 - Filter Length: 57EPYC 7773X 2P1200M2400M3600M4800M6000MSE +/- 9081911.20, N = 355529333331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 2021.01.31Threads: 128 - Buffer Length: 256 - Filter Length: 57EPYC 7773X 2P3M6M9M12M15M12303109.60
MinAvgMaxEPYC 7773X 2P74.6451.3534.8OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 2021.01.31CPU Power Consumption Monitor1402804205607001. EPYC 7773X 2P: Approximate power consumption of 10832 Joules per run.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 64 - Buffer Length: 256 - Filter Length: 57EPYC 7773X 2P700M1400M2100M2800M3500MSE +/- 4642317.43, N = 333488333331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 2021.01.31Threads: 64 - Buffer Length: 256 - Filter Length: 57EPYC 7773X 2P2M4M6M8M10M8353346.31
MinAvgMaxEPYC 7773X 2P76.0400.9469.1OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 2021.01.31CPU Power Consumption Monitor1202403604806001. EPYC 7773X 2P: Approximate power consumption of 9622 Joules per run.

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.0Algorithm: RSA4096EPYC 7773X 2P400K800K1200K1600K2000KSE +/- 260.75, N = 31784848.51. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.orgverify/s Per Watt, More Is BetterOpenSSL 3.0Algorithm: RSA4096EPYC 7773X 2P70014002100280035003422.75
MinAvgMaxEPYC 7773X 2P77.0521.5556.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.0CPU Power Consumption Monitor1402804205607001. EPYC 7773X 2P: Approximate power consumption of 33200 Joules per run.

OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.0Algorithm: RSA4096EPYC 7773X 2P6K12K18K24K30KSE +/- 27.52, N = 327099.31. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.0Algorithm: SHA256EPYC 7773X 2P30000M60000M90000M120000M150000MSE +/- 77628222.70, N = 31534610075401. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.0Algorithm: SHA256EPYC 7773X 2P60M120M180M240M300M285495262.23
MinAvgMaxEPYC 7773X 2P76.4537.5573.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.0CPU Power Consumption Monitor1402804205607001. EPYC 7773X 2P: Approximate power consumption of 98188 Joules per run.

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: Triple SHA-256, OnecoinEPYC 7773X 2P700K1400K2100K2800K3500KSE +/- 21172.95, N = 1531016961. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.18Algorithm: Triple SHA-256, OnecoinEPYC 7773X 2P3K6K9K12K15K14294.64
MinAvgMaxEPYC 7773X 2P77.1217.0318.8OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.18CPU Power Consumption Monitor801602403204001. EPYC 7773X 2P: Approximate power consumption of 7565 Joules per run.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: Quad SHA-256, PyriteEPYC 7773X 2P200K400K600K800K1000KSE +/- 13218.24, N = 310370771. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.18Algorithm: Quad SHA-256, PyriteEPYC 7773X 2P100020003000400050004763.57
MinAvgMaxEPYC 7773X 2P77.0217.7387.4OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.18CPU Power Consumption Monitor1002003004005001. EPYC 7773X 2P: Approximate power consumption of 7620 Joules per run.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: Myriad-GroestlEPYC 7773X 2P3K6K9K12K15KSE +/- 179.38, N = 3133731. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.18Algorithm: Myriad-GroestlEPYC 7773X 2P122436486052.50
MinAvgMaxEPYC 7773X 2P78.4254.7311.8OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.18CPU Power Consumption Monitor801602403204001. EPYC 7773X 2P: Approximate power consumption of 8915 Joules per run.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: SkeincoinEPYC 7773X 2P300K600K900K1200K1500KSE +/- 8275.58, N = 313375471. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.18Algorithm: SkeincoinEPYC 7773X 2P130026003900520065006154.33
MinAvgMaxEPYC 7773X 2P76.9217.3363.5OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.18CPU Power Consumption Monitor1002003004005001. EPYC 7773X 2P: Approximate power consumption of 7607 Joules per run.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: GarlicoinEPYC 7773X 2P5K10K15K20K25KSE +/- 65.06, N = 3247901. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.18Algorithm: GarlicoinEPYC 7773X 2P2040608010083.19
MinAvgMaxEPYC 7773X 2P77.9298.0462.1OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.18CPU Power Consumption Monitor1202403604806001. EPYC 7773X 2P: Approximate power consumption of 10232 Joules per run.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: Blake-2 SEPYC 7773X 2P1.6M3.2M4.8M6.4M8MSE +/- 62791.55, N = 372771901. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.18Algorithm: Blake-2 SEPYC 7773X 2P7K14K21K28K35K33911.13
MinAvgMaxEPYC 7773X 2P76.1214.6266.7OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.18CPU Power Consumption Monitor701402102803501. EPYC 7773X 2P: Approximate power consumption of 7511 Joules per run.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: RingcoinEPYC 7773X 2P7001400210028003500SE +/- 23.95, N = 33318.681. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.18Algorithm: RingcoinEPYC 7773X 2P369121510.69
MinAvgMaxEPYC 7773X 2P78.7310.4373.4OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.18CPU Power Consumption Monitor1002003004005001. EPYC 7773X 2P: Approximate power consumption of 10864 Joules per run.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: DeepcoinEPYC 7773X 2P20K40K60K80K100KSE +/- 922.21, N = 15817741. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.18Algorithm: DeepcoinEPYC 7773X 2P70140210280350302.72
MinAvgMaxEPYC 7773X 2P75.5270.1468.3OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.18CPU Power Consumption Monitor1202403604806001. EPYC 7773X 2P: Approximate power consumption of 9400 Joules per run.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: x25xEPYC 7773X 2P6001200180024003000SE +/- 26.49, N = 32992.651. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.18Algorithm: x25xEPYC 7773X 2P2468106.335
MinAvgMaxEPYC 7773X 2P74.5472.4572.9OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.18CPU Power Consumption Monitor1402804205607001. EPYC 7773X 2P: Approximate power consumption of 16219 Joules per run.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: MagiEPYC 7773X 2P10002000300040005000SE +/- 4.06, N = 34517.511. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.18Algorithm: MagiEPYC 7773X 2P36912159.752
MinAvgMaxEPYC 7773X 2P75.3463.2572.9OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.18CPU Power Consumption Monitor1402804205607001. EPYC 7773X 2P: Approximate power consumption of 16213 Joules per run.

Aircrack-ng

Aircrack-ng is a tool for assessing WiFi/WLAN network security. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.5.2EPYC 7773X 2P40K80K120K160K200KSE +/- 829.37, N = 3196064.501. (CXX) g++ options: -O3 -fvisibility=hidden -masm=intel -fcommon -rdynamic -lpthread -lz -lcrypto -lhwloc -ldl -lm -pthread
OpenBenchmarking.orgk/s Per Watt, More Is BetterAircrack-ng 1.5.2EPYC 7773X 2P90180270360450415.38
MinAvgMaxEPYC 7773X 2P74.8472.0533.1OpenBenchmarking.orgWatts, Fewer Is BetterAircrack-ng 1.5.2CPU Power Consumption Monitor1402804205607001. EPYC 7773X 2P: Approximate power consumption of 16206 Joules per run.

WebP2 Image Encode

This is a test of Google's libwebp2 library with the WebP2 image encode utility and using a sample 6000x4000 pixel JPEG image as the input, similar to the WebP/libwebp test profile. WebP2 is currently experimental and under heavy development as ultimately the successor to WebP. WebP2 supports 10-bit HDR, more efficienct lossy compression, improved lossless compression, animation support, and full multi-threading support compared to WebP. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWebP2 Image Encode 20220422Encode Settings: Quality 100, Lossless CompressionEPYC 7773X 2P120240360480600SE +/- 0.30, N = 3551.031. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
OpenBenchmarking.orgWatts, Fewer Is BetterWebP2 Image Encode 20220422CPU Power Consumption MonitorEPYC 7773X 2P4080120160200Min: 73.81 / Avg: 218.1 / Max: 235.151. EPYC 7773X 2P: Approximate power consumption of 120679 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterWebP2 Image Encode 20220422Encode Settings: Quality 100, Compression Effort 5EPYC 7773X 2P0.791.582.373.163.95SE +/- 0.015, N = 93.5111. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
MinAvgMaxEPYC 7773X 2P74.0145.1232.5OpenBenchmarking.orgWatts, Fewer Is BetterWebP2 Image Encode 20220422CPU Power Consumption Monitor601201802403001. EPYC 7773X 2P: Approximate power consumption of 1113 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterWebP2 Image Encode 20220422Encode Settings: Quality 95, Compression Effort 7EPYC 7773X 2P50100150200250SE +/- 0.40, N = 3238.321. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
MinAvgMaxEPYC 7773X 2P74.1218.0237.2OpenBenchmarking.orgWatts, Fewer Is BetterWebP2 Image Encode 20220422CPU Power Consumption Monitor601201802403001. EPYC 7773X 2P: Approximate power consumption of 52690 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterWebP2 Image Encode 20220422Encode Settings: Quality 75, Compression Effort 7EPYC 7773X 2P306090120150SE +/- 0.06, N = 3112.171. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
MinAvgMaxEPYC 7773X 2P75.0214.4235.6OpenBenchmarking.orgWatts, Fewer Is BetterWebP2 Image Encode 20220422CPU Power Consumption Monitor601201802403001. EPYC 7773X 2P: Approximate power consumption of 24871 Joules per run.

Tachyon

This is a test of the threaded Tachyon, a parallel ray-tracing system, measuring the time to ray-trace a sample scene. The sample scene used is the Teapot scene ray-traced to 8K x 8K with 32 samples. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTachyon 0.99.2Total TimeEPYC 7773X 2P48121620SE +/- 0.07, N = 415.401. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread
MinAvgMaxEPYC 7773X 2P75.7416.4547.8OpenBenchmarking.orgWatts, Fewer Is BetterTachyon 0.99.2CPU Power Consumption Monitor1402804205607001. EPYC 7773X 2P: Approximate power consumption of 8432 Joules per run.

Ngspice

Ngspice is an open-source SPICE circuit simulator. Ngspice was originally based on the Berkeley SPICE electronic circuit simulator. Ngspice supports basic threading using OpenMP. This test profile is making use of the ISCAS 85 benchmark circuits. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNgspice 34Circuit: C7552EPYC 7773X 2P20406080100SE +/- 0.14, N = 3102.221. (CC) gcc options: -O0 -fopenmp -lm -lstdc++ -lfftw3 -lXaw -lXmu -lXt -lXext -lX11 -lXft -lfontconfig -lXrender -lfreetype -lSM -lICE
MinAvgMaxEPYC 7773X 2P76.7135.4151.2OpenBenchmarking.orgWatts, Fewer Is BetterNgspice 34CPU Power Consumption Monitor40801201602001. EPYC 7773X 2P: Approximate power consumption of 14986 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterNgspice 34Circuit: C2670EPYC 7773X 2P306090120150SE +/- 0.47, N = 3139.491. (CC) gcc options: -O0 -fopenmp -lm -lstdc++ -lfftw3 -lXaw -lXmu -lXt -lXext -lX11 -lXft -lfontconfig -lXrender -lfreetype -lSM -lICE
MinAvgMaxEPYC 7773X 2P70.8135.9143.5OpenBenchmarking.orgWatts, Fewer Is BetterNgspice 34CPU Power Consumption Monitor40801201602001. EPYC 7773X 2P: Approximate power consumption of 19709 Joules per run.

m-queens

A solver for the N-queens problem with multi-threading support via the OpenMP library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterm-queens 1.2Time To SolveEPYC 7773X 2P1.28772.57543.86315.15086.4385SE +/- 0.011, N = 75.7231. (CXX) g++ options: -fopenmp -O2 -march=native
MinAvgMaxEPYC 7773X 2P76.3349.2568.5OpenBenchmarking.orgWatts, Fewer Is Betterm-queens 1.2CPU Power Consumption Monitor1402804205607001. EPYC 7773X 2P: Approximate power consumption of 3342 Joules per run.

Numpy Benchmark

This is a test to obtain the general Numpy performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkEPYC 7773X 2P100200300400500SE +/- 1.12, N = 3475.51
OpenBenchmarking.orgScore Per Watt, More Is BetterNumpy BenchmarkEPYC 7773X 2P0.80061.60122.40183.20244.0033.558
MinAvgMaxEPYC 7773X 2P75.7133.6141.9OpenBenchmarking.orgWatts, Fewer Is BetterNumpy BenchmarkCPU Power Consumption Monitor40801201602001. EPYC 7773X 2P: Approximate power consumption of 27127 Joules per run.

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerEPYC 7773X 2P2K4K6K8K10KSE +/- 7.31, N = 3105151. (CXX) g++ options: -O3 -ldl
MinAvgMaxEPYC 7773X 2P76.9519.1573.8OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor1402804205607001. EPYC 7773X 2P: Approximate power consumption of 86162 Joules per run.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path TracerEPYC 7773X 2P11002200330044005500SE +/- 10.17, N = 352621. (CXX) g++ options: -O3 -ldl
MinAvgMaxEPYC 7773X 2P76.5510.0573.4OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor1402804205607001. EPYC 7773X 2P: Approximate power consumption of 73782 Joules per run.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerEPYC 7773X 2P2K4K6K8K10KSE +/- 11.72, N = 390711. (CXX) g++ options: -O3 -ldl
MinAvgMaxEPYC 7773X 2P77.3516.2573.4OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor1402804205607001. EPYC 7773X 2P: Approximate power consumption of 79832 Joules per run.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path TracerEPYC 7773X 2P10002000300040005000SE +/- 8.39, N = 345321. (CXX) g++ options: -O3 -ldl
MinAvgMaxEPYC 7773X 2P76.2506.4573.6OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor1402804205607001. EPYC 7773X 2P: Approximate power consumption of 69209 Joules per run.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerEPYC 7773X 2P2K4K6K8K10KSE +/- 5.03, N = 389151. (CXX) g++ options: -O3 -ldl
MinAvgMaxEPYC 7773X 2P74.9516.8573.5OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor1402804205607001. EPYC 7773X 2P: Approximate power consumption of 83034 Joules per run.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path TracerEPYC 7773X 2P10002000300040005000SE +/- 1.53, N = 344521. (CXX) g++ options: -O3 -ldl
MinAvgMaxEPYC 7773X 2P75.2501.5573.5OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor1402804205607001. EPYC 7773X 2P: Approximate power consumption of 69713 Joules per run.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerEPYC 7773X 2P70140210280350SE +/- 0.67, N = 33281. (CXX) g++ options: -O3 -ldl
MinAvgMaxEPYC 7773X 2P76.5513.7573.7OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor1402804205607001. EPYC 7773X 2P: Approximate power consumption of 76543 Joules per run.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerEPYC 7773X 2P60120180240300SE +/- 0.33, N = 32851. (CXX) g++ options: -O3 -ldl
MinAvgMaxEPYC 7773X 2P76.6512.4573.8OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor1402804205607001. EPYC 7773X 2P: Approximate power consumption of 72419 Joules per run.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerEPYC 7773X 2P60120180240300SE +/- 0.00, N = 32781. (CXX) g++ options: -O3 -ldl
MinAvgMaxEPYC 7773X 2P76.8510.6573.8OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor1402804205607001. EPYC 7773X 2P: Approximate power consumption of 71478 Joules per run.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerEPYC 7773X 2P9K18K27K36K45KSE +/- 34.53, N = 3415411. (CXX) g++ options: -O3 -ldl
MinAvgMaxEPYC 7773X 2P76.1511.0573.7OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor1402804205607001. EPYC 7773X 2P: Approximate power consumption of 73409 Joules per run.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path TracerEPYC 7773X 2P4K8K12K16K20KSE +/- 26.19, N = 3207891. (CXX) g++ options: -O3 -ldl
MinAvgMaxEPYC 7773X 2P75.9488.2573.9OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor1402804205607001. EPYC 7773X 2P: Approximate power consumption of 49475 Joules per run.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerEPYC 7773X 2P8K16K24K32K40KSE +/- 175.50, N = 3359441. (CXX) g++ options: -O3 -ldl
MinAvgMaxEPYC 7773X 2P75.5503.7573.2OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor1402804205607001. EPYC 7773X 2P: Approximate power consumption of 63796 Joules per run.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path TracerEPYC 7773X 2P4K8K12K16K20KSE +/- 62.00, N = 3179421. (CXX) g++ options: -O3 -ldl
MinAvgMaxEPYC 7773X 2P77.1523.9573.9OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor1402804205607001. EPYC 7773X 2P: Approximate power consumption of 94300 Joules per run.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerEPYC 7773X 2P8K16K24K32K40KSE +/- 78.94, N = 3352871. (CXX) g++ options: -O3 -ldl
MinAvgMaxEPYC 7773X 2P75.4501.7573.9OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor1402804205607001. EPYC 7773X 2P: Approximate power consumption of 62550 Joules per run.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path TracerEPYC 7773X 2P4K8K12K16K20KSE +/- 4.06, N = 3175751. (CXX) g++ options: -O3 -ldl
MinAvgMaxEPYC 7773X 2P75.7504.2573.6OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor140280420560700