Noctua SP6 Heatsinks AMD EPYC Siena Benchmarks

AMD EPYC 8534P 64-Core testing of various heatsinks/coolers.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2311164-NE-HSF59996100
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Dynatron A54
November 11 2023
  14 Hours, 27 Minutes
NH-D9 TR5-SP6 4U
November 13 2023
  15 Hours, 3 Minutes
Noctua NH-U14S TR5-SP6
November 14 2023
  14 Hours, 8 Minutes
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  14 Hours, 33 Minutes

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Noctua SP6 Heatsinks AMD EPYC Siena BenchmarksOpenBenchmarking.orgPhoronix Test SuiteAMD EPYC 8534P 64-Core @ 2.30GHz (64 Cores / 128 Threads)AMD Cinnabar (RCB1009C BIOS)AMD Device 14a4192GB800GB Micron_7450_MTFDKBA800TFSASPEED2 x Broadcom NetXtreme BCM5720 PCIeUbuntu 23.106.5.0-5-generic (x86_64)GNOME Shell 45.0X Server 1.21.1.7GCC 13.2.0ext4640x480ProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelDesktopDisplay ServerCompilerFile-SystemScreen ResolutionNoctua SP6 Heatsinks AMD EPYC Siena 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,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xaa00212- OpenJDK Runtime Environment (build 11.0.20+8-post-Ubuntu-1ubuntu1)- Python 3.11.5- 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

Dynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Result OverviewPhoronix Test Suite100%102%103%105%107%C-BloscPostgreSQLOpenFOAMApache IoTDBTimed Gem5 CompilationTiDB Community ServerOpenVINOBlenderTimed Linux Kernel CompilationCoremarkQMCPACKCloverLeafTimed Godot Game Engine CompilationoneDNNTimed LLVM CompilationeasyWaveTimed Node.js CompilationQuantLib7-Zip CompressionDuckDBOpenVKLEmbreeCpuminer-OptRocksDBDaCapo BenchmarkOSPRay StudioIntel Open Image Denoise

Noctua SP6 Heatsinks AMD EPYC Siena Benchmarksopenfoam: drivaerFastback, Small Mesh Size - Mesh Timeopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timepgbench: 100 - 1000 - Read Write - Average Latencypgbench: 100 - 1000 - Read Writeblosc: blosclz shuffle - 64MBblosc: blosclz shuffle - 128MBblosc: blosclz shuffle - 32MBblosc: blosclz shuffle - 8MBblosc: blosclz shuffle - 256MBblosc: blosclz shuffle - 16MBblosc: blosclz bitshuffle - 256MBblosc: blosclz noshuffle - 128MBblosc: blosclz bitshuffle - 64MBblosc: blosclz bitshuffle - 128MBblosc: blosclz noshuffle - 256MBblosc: blosclz noshuffle - 16MBblosc: blosclz noshuffle - 32MBblosc: blosclz noshuffle - 64MBblosc: blosclz bitshuffle - 8MBblosc: blosclz bitshuffle - 32MBblosc: blosclz noshuffle - 8MBblosc: blosclz bitshuffle - 16MBtidb: oltp_update_non_index - 128apache-iotdb: 800 - 100 - 800 - 400tidb: oltp_update_index - 128apache-iotdb: 800 - 100 - 800 - 400openvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUdacapobench: Tradebeansdacapobench: Apache Lucene Search Enginedacapobench: H2 Database Engineqmcpack: LiH_ae_MSDblender: Fishy Cat - CPU-Onlyonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Handwritten English Recognition FP16 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUdacapobench: GraphChirocksdb: Read Rand Write Randonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUopenvino: Person Detection FP32 - CPUdacapobench: Apache Kafkaopenvino: Person Detection FP32 - CPUdacapobench: BioJava Biological Data Frameworkbuild-gem5: Time To Compilecloverleaf: clover_bmblender: Pabellon Barcelona - CPU-Onlyonednn: Deconvolution Batch shapes_1d - bf16bf16bf16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Face Detection Retail FP16 - CPUospray-studio: 2 - 4K - 16 - Path Tracer - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUquantlib: Multi-Threadedonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUdacapobench: Zxing 1D/2D Barcode Image Processingdacapobench: Jythonopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Face Detection FP16 - CPUapache-iotdb: 800 - 100 - 500 - 400rocksdb: Read While Writingembree: Pathtracer - Crownopenvino: Face Detection FP16 - CPUdacapobench: Apache Xalan XSLTopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Road Segmentation ADAS FP16 - CPUcpuminer-opt: scryptbuild-linux-kernel: allmodconfigdacapobench: Tradesoaprocksdb: Update Randcpuminer-opt: Quad SHA-256, Pyriteopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUdacapobench: Batik SVG Toolkiteasywave: e2Asean Grid + BengkuluSept2007 Source - 1200openvino: Age Gender Recognition Retail 0013 FP16 - CPUdacapobench: Spring Bootopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenfoam: drivaerFastback, Small Mesh Size - Execution Timebuild-llvm: Ninjaopenfoam: drivaerFastback, Medium Mesh Size - Execution Timeopenvino: Person Vehicle Bike Detection FP16 - CPUblender: Classroom - CPU-Onlyospray-studio: 1 - 4K - 1 - Path Tracer - CPUospray-studio: 1 - 4K - 16 - Path Tracer - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUblender: BMW27 - CPU-Onlyonednn: IP Shapes 3D - f32 - CPUembree: Pathtracer ISPC - Asian Dragon Objbuild-godot: Time To Compileopenvino: Person Vehicle Bike Detection FP16 - CPUospray-studio: 1 - 1080p - 32 - Path Tracer - CPUonednn: Deconvolution Batch shapes_3d - bf16bf16bf16 - CPUdacapobench: FOP Print Formattercoremark: CoreMark Size 666 - Iterations Per Secondospray-studio: 1 - 1080p - 16 - Path Tracer - CPUdacapobench: Apache Tomcatquantlib: Single-Threadeddacapobench: Apache Lucene Search Indexospray-studio: 1 - 1080p - 1 - Path Tracer - CPUospray-studio: 3 - 4K - 32 - Path Tracer - CPUduckdb: TPC-H Parquetqmcpack: FeCO6_b3lyp_gmsospray-studio: 3 - 1080p - 16 - Path Tracer - CPUbuild-llvm: Unix Makefilesdacapobench: Eclipseonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUospray-studio: 3 - 4K - 1 - Path Tracer - CPUospray-studio: 2 - 1080p - 32 - Path Tracer - CPUospray-studio: 3 - 1080p - 1 - Path Tracer - CPUcompress-7zip: Compression Ratingembree: Pathtracer - Asian Dragoncpuminer-opt: Skeincoindacapobench: Apache Cassandraqmcpack: Li2_STO_aebuild-nodejs: Time To Compileospray-studio: 2 - 1080p - 16 - Path Tracer - CPUeasywave: e2Asean Grid + BengkuluSept2007 Source - 240ospray-studio: 2 - 1080p - 1 - Path Tracer - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUbuild-linux-kernel: defconfigonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUembree: Pathtracer ISPC - Crownospray-studio: 3 - 1080p - 32 - Path Tracer - CPUcpuminer-opt: Myriad-Groestlqmcpack: simple-H2Odacapobench: Avrora AVR Simulation Frameworkospray-studio: 2 - 4K - 1 - Path Tracer - CPUcompress-7zip: Decompression Ratingopenvkl: vklBenchmarkCPU ISPCcloverleaf: clover_bm64_shortcpuminer-opt: Deepcoinpgbench: 100 - 1000 - Read Onlyopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUonednn: Recurrent Neural Network Training - f32 - CPUpgbench: 100 - 1000 - Read Only - Average Latencyeasywave: e2Asean Grid + BengkuluSept2007 Source - 2400tidb: oltp_point_select - 128cloverleaf: clover_bm16qmcpack: O_ae_pyscf_UHFcpuminer-opt: Ringcoinapache-iotdb: 800 - 100 - 500 - 400cpuminer-opt: LBC, LBRY Creditsonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUospray-studio: 2 - 4K - 32 - Path Tracer - CPUospray-studio: 3 - 4K - 16 - Path Tracer - CPUrocksdb: Rand Readonednn: Recurrent Neural Network Inference - f32 - CPUblender: Barbershop - CPU-Onlyonednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPUembree: Pathtracer - Asian Dragon Objopenvkl: vklBenchmarkCPU Scalarembree: Pathtracer ISPC - Asian Dragonospray-studio: 1 - 4K - 32 - Path Tracer - CPUcpuminer-opt: Garlicoinopenvino: Weld Porosity Detection FP16-INT8 - CPUcpuminer-opt: Triple SHA-256, Onecoinduckdb: IMDBopenvino: Weld Porosity Detection FP16-INT8 - CPUcpuminer-opt: Magiopenvino: Face Detection FP16-INT8 - CPUdacapobench: jMonkeyEngineonednn: Deconvolution Batch shapes_3d - f32 - CPUcpuminer-opt: Blake-2 Sopenvino: Face Detection FP16-INT8 - CPUoidn: RTLightmap.hdr.4096x4096 - CPU-Onlyoidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlyoidn: RT.hdr_alb_nrm.3840x2160 - CPU-Onlytidb: oltp_read_write - 128qmcpack: H4_aeonednn: IP Shapes 3D - bf16bf16bf16 - CPUonednn: IP Shapes 1D - bf16bf16bf16 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 1D - f32 - CPUdacapobench: H2O In-Memory Platform For Machine Learningdacapobench: PMD Source Code AnalyzerDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP629.83345157.3305417.2415801412050.18925.614333.314908.16001.514860.55919.98347.211878.59041.55691.213207.212666.510874.015572.014307.013413.615140.757560256.803176911589986944.001456.8190341575261981.51028.440.36426537.751693.900.5356269.730.493279.5134332732194557.868153.605200208.157679214.83112.8767.871.348015.4711656.718043.88334103.960.66215906.70.9009053492.7118.3040565011165.3827.4134.27103175766790673771.4536928.8495657.65554.44802.59285.6905668484131153597368.0186.83170139.46474181.752387153.43208.3653.722761167.823679.554399.8854.1616583311194089.0121.781.7384674.0495130.7983231.74134170.7720387392609983.941616669915952626.4448641969819175.405117.397979260.329122211.13979807.50319721358049836153079.5544886805789113.98157.77967931.878425808.77840.3860.34678273.8429159603001330.47668771679429405141757.362141331037531307.7724.41807.9210.322111.275131834496.40202.707956.52179.25414638.60454551.3856033038094364693916551.683203.020.46197870.941759086.819459596125306870.14269273123.3739.301607.5467.0569101.32373364053475.521.012.132.129265112.941.1563027.667133.898142.509294001182528.738437142.2159916.8595931513190.09737.515492.016126.06481.615912.86352.98865.112587.39624.46041.513911.113354.511486.916452.115024.513984.915886.258585254.493175611615655142.511504.5787621623259679.94327.820.37312437.021727.360.5240599.530.483347.2834432714781548.021150.815202211.987781211.13512.7767.001.349105.3811851.028169.00328913.900.65218763.00.9132183539.2818.0541165051179.5127.0934.68103136072801704872.2820916.8095556.97561.08813.35282.2085625480021154743372.3085.84168239.03574980.372412152.49209.6453.825841166.193673.27739.8353.6716503281794607.9821.591.7384273.9042129.8643247.59133220.7657337332615136.672068665515952606.8446441669325176.494116.577941259.800122711.14632812.23719601354349636369979.7000891805790113.38156.99267641.869423811.00840.3800.34654174.1535158962998730.42569031673429921142057.182137031140151309.7224.37805.3980.321110.934131735494.92202.117949.67179.17413838.62775552.1916018338081365383171550.532202.640.46167270.820859186.834359620125136879.03268970123.2369.291609.0967.0069061.32315364077475.511.012.132.128810613.381.1201356.708844.152792.380053998181725.506367157.6975518.4775413913202.19755.015555.116080.96490.815989.66294.28907.912663.69638.06055.714003.813397.111496.216458.315080.914075.715881.855940265.573044911183102042.811493.8388641623255081.99327.740.36848736.921731.900.5238789.590.483326.9533792681867547.617151.705108210.727819212.96312.6566.721.326455.3911830.608174.44331243.900.65219225.40.9145533545.1018.0340565961182.2927.0334.75101753914796199372.4502916.1496856.88561.88808.84285.9635695485837155453372.2285.85169839.04174918.382399151.87210.5054.261054167.458677.587919.7953.7516433309494926.1921.621.7235073.4214130.9673258.82133060.7676557372594063.009916664815832610.0449741669499176.645116.967924258.537123021.13905807.19119601349849536335980.0116889105820113.96156.99567601.869423807.34340.5610.34527674.1070159102989330.54368811673430936142257.162144331035851305.3424.45807.3980.322111.278132132495.43202.367933.76179.67413508.62102550.8066031438008365498944550.941202.930.46250470.918259186.693659530125136874.04269280123.3189.291607.9467.0669051.32320364190475.351.012.132.129259813.551.1324696.984664.552772.4845744481824OpenBenchmarking.org

OpenFOAM

OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Mesh TimeDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP671421283529.8328.7425.511. (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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Mesh TimeDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6306090120150157.33142.22157.701. (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

PostgreSQL

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

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average LatencyDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6510152025SE +/- 0.18, N = 3SE +/- 0.05, N = 3SE +/- 0.23, N = 317.2416.8618.481. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average LatencyDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6510152025Min: 16.88 / Avg: 17.24 / Max: 17.48Min: 16.76 / Avg: 16.86 / Max: 16.93Min: 18.06 / Avg: 18.48 / Max: 18.851. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read WriteDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP613K26K39K52K65KSE +/- 627.52, N = 3SE +/- 173.21, N = 3SE +/- 673.20, N = 35801459315541391. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read WriteDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP610K20K30K40K50KMin: 57217.08 / Avg: 58014.09 / Max: 59252.19Min: 59085.57 / Avg: 59315.14 / Max: 59654.6Min: 53041.87 / Avg: 54138.77 / Max: 55363.391. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

C-Blosc

C-Blosc (c-blosc2) simple, compressed, fast and persistent data store library for C that focuses on compression of binary data. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz shuffle - Buffer Size: 64MBDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP63K6K9K12K15KSE +/- 19.22, N = 3SE +/- 7.60, N = 3SE +/- 16.58, N = 312050.113190.013202.11. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz shuffle - Buffer Size: 64MBDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP62K4K6K8K10KMin: 12030.6 / Avg: 12050.07 / Max: 12088.5Min: 13180.3 / Avg: 13190.03 / Max: 13205Min: 13171.8 / Avg: 13202.1 / Max: 13228.91. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz shuffle - Buffer Size: 128MBDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP62K4K6K8K10KSE +/- 12.34, N = 3SE +/- 0.67, N = 3SE +/- 12.99, N = 38925.69737.59755.01. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz shuffle - Buffer Size: 128MBDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP62K4K6K8K10KMin: 8912.7 / Avg: 8925.63 / Max: 8950.3Min: 9736.2 / Avg: 9737.47 / Max: 9738.5Min: 9729.4 / Avg: 9755 / Max: 9771.61. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz shuffle - Buffer Size: 32MBDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP63K6K9K12K15KSE +/- 5.28, N = 3SE +/- 18.39, N = 3SE +/- 3.37, N = 314333.315492.015555.11. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz shuffle - Buffer Size: 32MBDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP63K6K9K12K15KMin: 14325.9 / Avg: 14333.27 / Max: 14343.5Min: 15457.2 / Avg: 15492 / Max: 15519.7Min: 15548.9 / Avg: 15555.1 / Max: 15560.51. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz shuffle - Buffer Size: 8MBDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP63K6K9K12K15KSE +/- 12.43, N = 3SE +/- 7.57, N = 3SE +/- 29.31, N = 314908.116126.016080.91. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz shuffle - Buffer Size: 8MBDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP63K6K9K12K15KMin: 14883.2 / Avg: 14908.07 / Max: 14920.8Min: 16113.2 / Avg: 16126.03 / Max: 16139.4Min: 16022.4 / Avg: 16080.93 / Max: 16112.91. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz shuffle - Buffer Size: 256MBDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP614002800420056007000SE +/- 29.07, N = 3SE +/- 2.55, N = 3SE +/- 2.27, N = 36001.56481.66490.81. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz shuffle - Buffer Size: 256MBDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP611002200330044005500Min: 5947.3 / Avg: 6001.5 / Max: 6046.8Min: 6478.3 / Avg: 6481.57 / Max: 6486.6Min: 6488.4 / Avg: 6490.77 / Max: 6495.31. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz shuffle - Buffer Size: 16MBDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP63K6K9K12K15KSE +/- 5.40, N = 3SE +/- 16.90, N = 3SE +/- 6.00, N = 314860.515912.815989.61. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz shuffle - Buffer Size: 16MBDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP63K6K9K12K15KMin: 14852.7 / Avg: 14860.53 / Max: 14870.9Min: 15880 / Avg: 15912.83 / Max: 15936.2Min: 15983.4 / Avg: 15989.6 / Max: 16001.61. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz bitshuffle - Buffer Size: 256MBDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP614002800420056007000SE +/- 22.32, N = 3SE +/- 22.27, N = 3SE +/- 14.42, N = 35919.96352.96294.21. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz bitshuffle - Buffer Size: 256MBDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP611002200330044005500Min: 5884.6 / Avg: 5919.9 / Max: 5961.2Min: 6308.7 / Avg: 6352.93 / Max: 6379.6Min: 6279 / Avg: 6294.17 / Max: 63231. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz noshuffle - Buffer Size: 128MBDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP62K4K6K8K10KSE +/- 4.99, N = 3SE +/- 7.45, N = 3SE +/- 11.56, N = 38347.28865.18907.91. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz noshuffle - Buffer Size: 128MBDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP615003000450060007500Min: 8337.5 / Avg: 8347.23 / Max: 8354Min: 8854.1 / Avg: 8865.1 / Max: 8879.3Min: 8893.5 / Avg: 8907.93 / Max: 8930.81. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz bitshuffle - Buffer Size: 64MBDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP63K6K9K12K15KSE +/- 2.42, N = 3SE +/- 5.89, N = 3SE +/- 10.69, N = 311878.512587.312663.61. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz bitshuffle - Buffer Size: 64MBDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP62K4K6K8K10KMin: 11873.7 / Avg: 11878.5 / Max: 11881.5Min: 12576.4 / Avg: 12587.33 / Max: 12596.6Min: 12651.7 / Avg: 12663.57 / Max: 12684.91. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz bitshuffle - Buffer Size: 128MBDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP62K4K6K8K10KSE +/- 8.06, N = 3SE +/- 11.45, N = 3SE +/- 12.64, N = 39041.59624.49638.01. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz bitshuffle - Buffer Size: 128MBDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP62K4K6K8K10KMin: 9026.6 / Avg: 9041.5 / Max: 9054.3Min: 9605.2 / Avg: 9624.4 / Max: 9644.8Min: 9614.5 / Avg: 9638.03 / Max: 9657.81. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz noshuffle - Buffer Size: 256MBDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP613002600390052006500SE +/- 2.90, N = 3SE +/- 3.64, N = 3SE +/- 2.72, N = 35691.26041.56055.71. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz noshuffle - Buffer Size: 256MBDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP611002200330044005500Min: 5685.5 / Avg: 5691.23 / Max: 5694.8Min: 6035.7 / Avg: 6041.5 / Max: 6048.2Min: 6051.2 / Avg: 6055.7 / Max: 6060.61. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz noshuffle - Buffer Size: 16MBDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP63K6K9K12K15KSE +/- 12.29, N = 3SE +/- 32.67, N = 3SE +/- 53.87, N = 313207.213911.114003.81. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz noshuffle - Buffer Size: 16MBDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP62K4K6K8K10KMin: 13183.1 / Avg: 13207.23 / Max: 13223.3Min: 13845.8 / Avg: 13911.13 / Max: 13943.8Min: 13899 / Avg: 14003.83 / Max: 14077.81. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz noshuffle - Buffer Size: 32MBDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP63K6K9K12K15KSE +/- 36.10, N = 3SE +/- 15.17, N = 3SE +/- 28.63, N = 312666.513354.513397.11. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz noshuffle - Buffer Size: 32MBDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP62K4K6K8K10KMin: 12595 / Avg: 12666.5 / Max: 12710.9Min: 13326.5 / Avg: 13354.5 / Max: 13378.6Min: 13341.6 / Avg: 13397.13 / Max: 134371. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz noshuffle - Buffer Size: 64MBDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP62K4K6K8K10KSE +/- 22.73, N = 3SE +/- 27.62, N = 3SE +/- 19.66, N = 310874.011486.911496.21. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz noshuffle - Buffer Size: 64MBDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP62K4K6K8K10KMin: 10849.8 / Avg: 10873.97 / Max: 10919.4Min: 11432.6 / Avg: 11486.93 / Max: 11522.7Min: 11470.3 / Avg: 11496.23 / Max: 11534.81. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz bitshuffle - Buffer Size: 8MBDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP64K8K12K16K20KSE +/- 12.66, N = 3SE +/- 16.14, N = 3SE +/- 16.10, N = 315572.016452.116458.31. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz bitshuffle - Buffer Size: 8MBDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP63K6K9K12K15KMin: 15546.8 / Avg: 15572 / Max: 15586.7Min: 16432.6 / Avg: 16452.07 / Max: 16484.1Min: 16427 / Avg: 16458.27 / Max: 16480.61. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz bitshuffle - Buffer Size: 32MBDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP63K6K9K12K15KSE +/- 11.14, N = 3SE +/- 27.46, N = 3SE +/- 11.58, N = 314307.015024.515080.91. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz bitshuffle - Buffer Size: 32MBDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP63K6K9K12K15KMin: 14285.8 / Avg: 14307.03 / Max: 14323.5Min: 14978.3 / Avg: 15024.47 / Max: 15073.3Min: 15057.8 / Avg: 15080.93 / Max: 15093.51. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz noshuffle - Buffer Size: 8MBDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP63K6K9K12K15KSE +/- 16.66, N = 3SE +/- 26.20, N = 3SE +/- 16.71, N = 313413.613984.914075.71. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz noshuffle - Buffer Size: 8MBDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP62K4K6K8K10KMin: 13380.3 / Avg: 13413.6 / Max: 13431.1Min: 13933.3 / Avg: 13984.87 / Max: 14018.7Min: 14045.2 / Avg: 14075.67 / Max: 14102.81. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz bitshuffle - Buffer Size: 16MBDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP63K6K9K12K15KSE +/- 26.60, N = 3SE +/- 28.42, N = 3SE +/- 23.64, N = 315140.715886.215881.81. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm
OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz bitshuffle - Buffer Size: 16MBDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP63K6K9K12K15KMin: 15087.7 / Avg: 15140.73 / Max: 15170.8Min: 15837.9 / Avg: 15886.23 / Max: 15936.3Min: 15834.5 / Avg: 15881.77 / Max: 15905.91. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

TiDB Community Server

This is a PingCAP TiDB Community Server benchmark facilitated using the sysbench OLTP database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Second, More Is BetterTiDB Community Server 7.3Test: oltp_update_non_index - Threads: 128Dynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP613K26K39K52K65KSE +/- 40.44, N = 3SE +/- 143.55, N = 3SE +/- 8.69, N = 2575605858555940
OpenBenchmarking.orgQueries Per Second, More Is BetterTiDB Community Server 7.3Test: oltp_update_non_index - Threads: 128Dynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP610K20K30K40K50KMin: 57492.63 / Avg: 57560.09 / Max: 57632.46Min: 58384.65 / Avg: 58585.15 / Max: 58863.36Min: 55931.27 / Avg: 55939.96 / Max: 55948.65

Apache IoTDB

Apache IotDB is a time series database and this benchmark is facilitated using the IoT Benchmaark [https://github.com/thulab/iot-benchmark/]. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400Dynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP660120180240300SE +/- 2.90, N = 3SE +/- 3.41, N = 3SE +/- 3.10, N = 3256.80254.49265.57MAX: 26991.92MAX: 26906.76MAX: 27237.61
OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400Dynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP650100150200250Min: 252.14 / Avg: 256.8 / Max: 262.12Min: 251.08 / Avg: 254.49 / Max: 261.31Min: 259.7 / Avg: 265.57 / Max: 270.24

TiDB Community Server

This is a PingCAP TiDB Community Server benchmark facilitated using the sysbench OLTP database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Second, More Is BetterTiDB Community Server 7.3Test: oltp_update_index - Threads: 128Dynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP67K14K21K28K35KSE +/- 163.31, N = 3SE +/- 227.17, N = 3SE +/- 105.69, N = 3317693175630449
OpenBenchmarking.orgQueries Per Second, More Is BetterTiDB Community Server 7.3Test: oltp_update_index - Threads: 128Dynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP66K12K18K24K30KMin: 31452.92 / Avg: 31768.86 / Max: 31998.54Min: 31305.76 / Avg: 31755.71 / Max: 32035.23Min: 30288.84 / Avg: 30449.05 / Max: 30648.57

Apache IoTDB

Apache IotDB is a time series database and this benchmark is facilitated using the IoT Benchmaark [https://github.com/thulab/iot-benchmark/]. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400Dynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP620M40M60M80M100MSE +/- 839333.42, N = 3SE +/- 896265.80, N = 3SE +/- 1061890.13, N = 3115899869116156551111831020
OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400Dynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP620M40M60M80M100MMin: 114230706.9 / Avg: 115899869.2 / Max: 116888932.3Min: 114577923.82 / Avg: 116156550.77 / Max: 117681275.61Min: 110727954.74 / Avg: 111831019.78 / Max: 113954260.79

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16-INT8 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP61020304050SE +/- 0.68, N = 12SE +/- 0.21, N = 3SE +/- 0.21, N = 344.0042.5142.81MIN: 27.32 / MAX: 75.7MIN: 27.83 / MAX: 54.18MIN: 27.82 / MAX: 63.41. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16-INT8 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6918273645Min: 43.1 / Avg: 44 / Max: 51.47Min: 42.27 / Avg: 42.51 / Max: 42.93Min: 42.49 / Avg: 42.81 / Max: 43.21. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16-INT8 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP630060090012001500SE +/- 19.56, N = 12SE +/- 7.46, N = 3SE +/- 7.09, N = 31456.811504.571493.831. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16-INT8 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP630060090012001500Min: 1242.02 / Avg: 1456.81 / Max: 1483.97Min: 1489.71 / Avg: 1504.57 / Max: 1513.18Min: 1480.56 / Avg: 1493.83 / Max: 1504.821. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance of various popular real-world Java workloads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: TradebeansDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP62K4K6K8K10KSE +/- 96.66, N = 15SE +/- 102.15, N = 4SE +/- 103.48, N = 3903487628864
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: TradebeansDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP616003200480064008000Min: 8440 / Avg: 9034.4 / Max: 9660Min: 8548 / Avg: 8761.5 / Max: 9011Min: 8660 / Avg: 8864.33 / Max: 8995

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Apache Lucene Search EngineDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP630060090012001500SE +/- 5.70, N = 5SE +/- 5.97, N = 5SE +/- 5.52, N = 5157516231623
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Apache Lucene Search EngineDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP630060090012001500Min: 1558 / Avg: 1574.8 / Max: 1589Min: 1601 / Avg: 1623 / Max: 1634Min: 1610 / Avg: 1622.8 / Max: 1641

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: H2 Database EngineDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP66001200180024003000SE +/- 8.25, N = 3SE +/- 16.56, N = 3SE +/- 19.86, N = 3261925962550
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: H2 Database EngineDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP65001000150020002500Min: 2603 / Avg: 2618.67 / Max: 2631Min: 2577 / Avg: 2596 / Max: 2629Min: 2524 / Avg: 2550 / Max: 2589

QMCPACK

QMCPACK is a modern high-performance open-source Quantum Monte Carlo (QMC) simulation code making use of MPI for this benchmark of the H20 example code. QMCPACK is an open-source production level many-body ab initio Quantum Monte Carlo code for computing the electronic structure of atoms, molecules, and solids. QMCPACK is supported by the U.S. Department of Energy. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: LiH_ae_MSDDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP620406080100SE +/- 0.44, N = 3SE +/- 0.13, N = 3SE +/- 1.09, N = 381.5179.9481.991. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl
OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: LiH_ae_MSDDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP61632486480Min: 80.64 / Avg: 81.51 / Max: 82.09Min: 79.8 / Avg: 79.94 / Max: 80.21Min: 79.91 / Avg: 81.99 / Max: 83.581. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl

Blender

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Fishy Cat - Compute: CPU-OnlyDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6714212835SE +/- 0.16, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 328.4427.8227.74
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Fishy Cat - Compute: CPU-OnlyDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6612182430Min: 28.22 / Avg: 28.44 / Max: 28.74Min: 27.65 / Avg: 27.82 / Max: 28.04Min: 27.69 / Avg: 27.74 / Max: 27.77

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP60.0840.1680.2520.3360.42SE +/- 0.002898, N = 3SE +/- 0.002099, N = 3SE +/- 0.005219, N = 30.3642650.3731240.368487MIN: 0.33MIN: 0.33MIN: 0.331. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP612345Min: 0.36 / Avg: 0.36 / Max: 0.37Min: 0.37 / Avg: 0.37 / Max: 0.38Min: 0.36 / Avg: 0.37 / Max: 0.381. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6918273645SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 337.7537.0236.92MIN: 24.92 / MAX: 64.27MIN: 22.21 / MAX: 59.58MIN: 22.21 / MAX: 59.671. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6816243240Min: 37.66 / Avg: 37.75 / Max: 37.83Min: 36.96 / Avg: 37.02 / Max: 37.12Min: 36.72 / Avg: 36.92 / Max: 37.111. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6400800120016002000SE +/- 2.25, N = 3SE +/- 2.37, N = 3SE +/- 5.31, N = 31693.901727.361731.901. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP630060090012001500Min: 1690.52 / Avg: 1693.9 / Max: 1698.15Min: 1722.66 / Avg: 1727.36 / Max: 1730.29Min: 1723.09 / Avg: 1731.9 / Max: 1741.431. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP60.12050.2410.36150.4820.6025SE +/- 0.002350, N = 5SE +/- 0.001085, N = 5SE +/- 0.000722, N = 50.5356260.5240590.523878MIN: 0.47MIN: 0.46MIN: 0.461. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6246810Min: 0.53 / Avg: 0.54 / Max: 0.54Min: 0.52 / Avg: 0.52 / Max: 0.53Min: 0.52 / Avg: 0.52 / Max: 0.531. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP63691215SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.07, N = 39.739.539.59MIN: 4.59 / MAX: 26.79MIN: 4.8 / MAX: 33.9MIN: 4.52 / MAX: 27.121. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP63691215Min: 9.67 / Avg: 9.73 / Max: 9.8Min: 9.53 / Avg: 9.53 / Max: 9.54Min: 9.47 / Avg: 9.59 / Max: 9.711. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP60.11030.22060.33090.44120.5515SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.490.480.48MIN: 0.26 / MAX: 25.77MIN: 0.26 / MAX: 32.61MIN: 0.26 / MAX: 19.921. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6246810Min: 0.49 / Avg: 0.49 / Max: 0.49Min: 0.48 / Avg: 0.48 / Max: 0.49Min: 0.48 / Avg: 0.48 / Max: 0.481. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP67001400210028003500SE +/- 12.47, N = 3SE +/- 1.55, N = 3SE +/- 24.03, N = 33279.513347.283326.951. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP66001200180024003000Min: 3256.09 / Avg: 3279.51 / Max: 3298.64Min: 3344.28 / Avg: 3347.28 / Max: 3349.44Min: 3286.17 / Avg: 3326.95 / Max: 3369.351. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance of various popular real-world Java workloads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: GraphChiDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP67001400210028003500SE +/- 28.51, N = 15SE +/- 15.95, N = 3SE +/- 24.53, N = 15343334433379
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: GraphChiDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP66001200180024003000Min: 3252 / Avg: 3433.13 / Max: 3584Min: 3421 / Avg: 3443 / Max: 3474Min: 3217 / Avg: 3378.53 / Max: 3521

RocksDB

This is a benchmark of Meta/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 BetterRocksDB 8.0Test: Read Random Write RandomDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6600K1200K1800K2400K3000KSE +/- 23452.89, N = 3SE +/- 29433.81, N = 5SE +/- 21486.01, N = 152732194271478126818671. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Read Random Write RandomDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6500K1000K1500K2000K2500KMin: 2694575 / Avg: 2732193.67 / Max: 2775267Min: 2601567 / Avg: 2714780.8 / Max: 2768452Min: 2520813 / Avg: 2681867.4 / Max: 27732201. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6120240360480600SE +/- 3.29, N = 3SE +/- 1.42, N = 3SE +/- 2.44, N = 3557.87548.02547.62MIN: 545.56MIN: 539.44MIN: 538.811. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6100200300400500Min: 551.36 / Avg: 557.87 / Max: 561.91Min: 545.27 / Avg: 548.02 / Max: 549.99Min: 543.74 / Avg: 547.62 / Max: 552.121. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Detection FP32 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6306090120150SE +/- 0.33, N = 3SE +/- 0.94, N = 3SE +/- 0.58, N = 3153.60150.81151.70MIN: 63.54 / MAX: 214MIN: 53.46 / MAX: 212.6MIN: 55.39 / MAX: 212.781. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Detection FP32 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6306090120150Min: 152.95 / Avg: 153.6 / Max: 153.98Min: 148.93 / Avg: 150.81 / Max: 151.86Min: 150.54 / Avg: 151.7 / Max: 152.391. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance of various popular real-world Java workloads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Apache KafkaDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP611002200330044005500SE +/- 4.63, N = 3SE +/- 2.00, N = 3SE +/- 1.33, N = 3520052025108
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Apache KafkaDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP69001800270036004500Min: 5192 / Avg: 5199.67 / Max: 5208Min: 5200 / Avg: 5202 / Max: 5206Min: 5107 / Avg: 5108.33 / Max: 5111

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Person Detection FP32 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP650100150200250SE +/- 0.42, N = 3SE +/- 1.36, N = 3SE +/- 0.79, N = 3208.15211.98210.721. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Person Detection FP32 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP64080120160200Min: 207.65 / Avg: 208.15 / Max: 208.98Min: 210.46 / Avg: 211.98 / Max: 214.69Min: 209.81 / Avg: 210.72 / Max: 212.31. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance of various popular real-world Java workloads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: BioJava Biological Data FrameworkDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP62K4K6K8K10KSE +/- 10.82, N = 3SE +/- 81.45, N = 3SE +/- 80.64, N = 3767977817819
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: BioJava Biological Data FrameworkDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP614002800420056007000Min: 7664 / Avg: 7679 / Max: 7700Min: 7658 / Avg: 7781 / Max: 7935Min: 7705 / Avg: 7819.33 / Max: 7975

Timed Gem5 Compilation

This test times how long it takes to compile Gem5. Gem5 is a simulator for computer system architecture research. Gem5 is widely used for computer architecture research within the industry, academia, and more. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Gem5 Compilation 23.0.1Time To CompileDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP650100150200250SE +/- 0.72, N = 3SE +/- 2.32, N = 5SE +/- 2.46, N = 3214.83211.14212.96
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Gem5 Compilation 23.0.1Time To CompileDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP64080120160200Min: 213.52 / Avg: 214.83 / Max: 215.99Min: 207.27 / Avg: 211.13 / Max: 220.12Min: 208.11 / Avg: 212.96 / Max: 216.11

CloverLeaf

CloverLeaf is a Lagrangian-Eulerian hydrodynamics benchmark. This test profile currently makes use of CloverLeaf's OpenMP version. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bmDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP63691215SE +/- 0.12, N = 4SE +/- 0.08, N = 4SE +/- 0.07, N = 412.8712.7712.651. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bmDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP648121620Min: 12.63 / Avg: 12.87 / Max: 13.19Min: 12.62 / Avg: 12.77 / Max: 12.98Min: 12.43 / Avg: 12.65 / Max: 12.751. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

Blender

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Pabellon Barcelona - Compute: CPU-OnlyDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP61530456075SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 367.8767.0066.72
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Pabellon Barcelona - Compute: CPU-OnlyDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP61326395265Min: 67.82 / Avg: 67.87 / Max: 67.94Min: 66.85 / Avg: 67 / Max: 67.14Min: 66.67 / Avg: 66.72 / Max: 66.76

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP60.30350.6070.91051.2141.5175SE +/- 0.00861, N = 3SE +/- 0.00892, N = 3SE +/- 0.00909, N = 31.348011.349101.32645MIN: 1.25MIN: 1.25MIN: 1.241. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6246810Min: 1.34 / Avg: 1.35 / Max: 1.37Min: 1.33 / Avg: 1.35 / Max: 1.36Min: 1.31 / Avg: 1.33 / Max: 1.341. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16-INT8 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP61.23082.46163.69244.92326.154SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 35.475.385.39MIN: 3.23 / MAX: 28.68MIN: 3.18 / MAX: 16.36MIN: 3.19 / MAX: 19.081. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16-INT8 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6246810Min: 5.46 / Avg: 5.47 / Max: 5.47Min: 5.37 / Avg: 5.38 / Max: 5.39Min: 5.38 / Avg: 5.39 / Max: 5.391. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16-INT8 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP63K6K9K12K15KSE +/- 11.83, N = 3SE +/- 13.35, N = 3SE +/- 9.54, N = 311656.7111851.0211830.601. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16-INT8 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP62K4K6K8K10KMin: 11641.99 / Avg: 11656.71 / Max: 11680.11Min: 11832.22 / Avg: 11851.02 / Max: 11876.84Min: 11816.07 / Avg: 11830.6 / Max: 11848.581. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP62K4K6K8K10KSE +/- 9.37, N = 3SE +/- 12.62, N = 3SE +/- 10.57, N = 38043.888169.008174.441. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP614002800420056007000Min: 8026.8 / Avg: 8043.88 / Max: 8059.1Min: 8143.82 / Avg: 8169 / Max: 8183.2Min: 8163.03 / Avg: 8174.44 / Max: 8195.561. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

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 0.13Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP67K14K21K28K35KSE +/- 146.71, N = 3SE +/- 287.98, N = 3SE +/- 289.97, N = 3334103289133124
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP66K12K18K24K30KMin: 33118 / Avg: 33410 / Max: 33581Min: 32521 / Avg: 32890.67 / Max: 33458Min: 32578 / Avg: 33124.33 / Max: 33566

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP60.8911.7822.6733.5644.455SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 33.963.903.90MIN: 2.22 / MAX: 28.64MIN: 2.2 / MAX: 29.97MIN: 2.2 / MAX: 22.151. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6246810Min: 3.95 / Avg: 3.96 / Max: 3.97Min: 3.89 / Avg: 3.9 / Max: 3.91Min: 3.89 / Avg: 3.9 / Max: 3.91. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP60.14850.2970.44550.5940.7425SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.660.650.65MIN: 0.34 / MAX: 23.67MIN: 0.34 / MAX: 20.26MIN: 0.34 / MAX: 20.931. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6246810Min: 0.65 / Avg: 0.66 / Max: 0.66Min: 0.64 / Avg: 0.65 / Max: 0.65Min: 0.65 / Avg: 0.65 / Max: 0.651. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

QuantLib

QuantLib is an open-source library/framework around quantitative finance for modeling, trading and risk management scenarios. QuantLib is written in C++ with Boost and its built-in benchmark used reports the QuantLib Benchmark Index benchmark score. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP650K100K150K200K250KSE +/- 472.20, N = 3SE +/- 116.53, N = 3SE +/- 188.26, N = 3215906.7218763.0219225.41. (CXX) g++ options: -O3 -march=native -fPIE -pie
OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP640K80K120K160K200KMin: 215411.9 / Avg: 215906.67 / Max: 216850.7Min: 218556.4 / Avg: 218763 / Max: 218959.7Min: 218868.1 / Avg: 219225.4 / Max: 219506.91. (CXX) g++ options: -O3 -march=native -fPIE -pie

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP60.20580.41160.61740.82321.029SE +/- 0.002277, N = 6SE +/- 0.001721, N = 7SE +/- 0.001480, N = 70.9009050.9132180.914553MIN: 0.84MIN: 0.84MIN: 0.841. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6246810Min: 0.9 / Avg: 0.9 / Max: 0.91Min: 0.91 / Avg: 0.91 / Max: 0.92Min: 0.91 / Avg: 0.91 / Max: 0.921. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP68001600240032004000SE +/- 1.78, N = 3SE +/- 1.77, N = 3SE +/- 1.00, N = 33492.713539.283545.101. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP66001200180024003000Min: 3490.74 / Avg: 3492.71 / Max: 3496.26Min: 3536.05 / Avg: 3539.28 / Max: 3542.13Min: 3543.21 / Avg: 3545.1 / Max: 3546.611. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6510152025SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 318.3018.0518.03MIN: 9.51 / MAX: 69.8MIN: 9.42 / MAX: 37.14MIN: 9.7 / MAX: 29.111. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6510152025Min: 18.28 / Avg: 18.3 / Max: 18.31Min: 18.04 / Avg: 18.05 / Max: 18.07Min: 18.02 / Avg: 18.03 / Max: 18.041. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance of various popular real-world Java workloads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Zxing 1D/2D Barcode Image ProcessingDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP690180270360450SE +/- 4.30, N = 15SE +/- 5.03, N = 15SE +/- 5.23, N = 15405411405
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Zxing 1D/2D Barcode Image ProcessingDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP670140210280350Min: 378 / Avg: 405.13 / Max: 428Min: 385 / Avg: 411.47 / Max: 453Min: 383 / Avg: 405.4 / Max: 447

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: JythonDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP614002800420056007000SE +/- 82.91, N = 3SE +/- 14.26, N = 3SE +/- 17.03, N = 3650165056596
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: JythonDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP611002200330044005500Min: 6345 / Avg: 6500.67 / Max: 6628Min: 6479 / Avg: 6505.33 / Max: 6528Min: 6566 / Avg: 6595.67 / Max: 6625

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16-INT8 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP630060090012001500SE +/- 3.32, N = 3SE +/- 6.52, N = 3SE +/- 3.64, N = 31165.381179.511182.291. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16-INT8 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP62004006008001000Min: 1159.76 / Avg: 1165.38 / Max: 1171.26Min: 1166.93 / Avg: 1179.51 / Max: 1188.75Min: 1175.62 / Avg: 1182.29 / Max: 1188.141. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16-INT8 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6612182430SE +/- 0.08, N = 3SE +/- 0.15, N = 3SE +/- 0.08, N = 327.4127.0927.03MIN: 13.94 / MAX: 51.14MIN: 18.57 / MAX: 45.49MIN: 13.91 / MAX: 47.641. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16-INT8 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6612182430Min: 27.28 / Avg: 27.41 / Max: 27.54Min: 26.87 / Avg: 27.09 / Max: 27.38Min: 26.89 / Avg: 27.03 / Max: 27.181. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection FP16 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6816243240SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 334.2734.6834.751. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection FP16 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6714212835Min: 34.23 / Avg: 34.27 / Max: 34.31Min: 34.65 / Avg: 34.68 / Max: 34.7Min: 34.67 / Avg: 34.75 / Max: 34.81. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

Apache IoTDB

Apache IotDB is a time series database and this benchmark is facilitated using the IoT Benchmaark [https://github.com/thulab/iot-benchmark/]. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400Dynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP620M40M60M80M100MSE +/- 673354.88, N = 3SE +/- 936061.82, N = 3SE +/- 600215.19, N = 3103175766103136072101753914
OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400Dynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP620M40M60M80M100MMin: 102335227.2 / Avg: 103175766.47 / Max: 104507266.42Min: 101843331.5 / Avg: 103136072.31 / Max: 104955153.72Min: 100708710.26 / Avg: 101753913.68 / Max: 102787824.66

RocksDB

This is a benchmark of Meta/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 BetterRocksDB 8.0Test: Read While WritingDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP62M4M6M8M10MSE +/- 49692.28, N = 3SE +/- 23377.20, N = 3SE +/- 49439.53, N = 37906737801704879619931. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Read While WritingDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP61.4M2.8M4.2M5.6M7MMin: 7815023 / Avg: 7906736.67 / Max: 7985751Min: 7987089 / Avg: 8017047.67 / Max: 8063113Min: 7863373 / Avg: 7961993.33 / Max: 80174941. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer - Model: CrownDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP61632486480SE +/- 0.11, N = 5SE +/- 0.10, N = 5SE +/- 0.13, N = 571.4572.2872.45MIN: 70.33 / MAX: 73.11MIN: 71.09 / MAX: 74.2MIN: 71.25 / MAX: 74.25
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer - Model: CrownDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP61428425670Min: 71.16 / Avg: 71.45 / Max: 71.82Min: 72.08 / Avg: 72.28 / Max: 72.67Min: 72.16 / Avg: 72.45 / Max: 72.94

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection FP16 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP62004006008001000SE +/- 0.57, N = 3SE +/- 0.28, N = 3SE +/- 1.04, N = 3928.84916.80916.14MIN: 885.23 / MAX: 978.93MIN: 865.44 / MAX: 971.95MIN: 880.57 / MAX: 968.041. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection FP16 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6160320480640800Min: 928.18 / Avg: 928.84 / Max: 929.97Min: 916.29 / Avg: 916.8 / Max: 917.24Min: 914.2 / Avg: 916.14 / Max: 917.741. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance of various popular real-world Java workloads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Apache Xalan XSLTDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP62004006008001000SE +/- 6.67, N = 8SE +/- 5.03, N = 8SE +/- 6.26, N = 8956955968
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Apache Xalan XSLTDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP62004006008001000Min: 933 / Avg: 956.13 / Max: 978Min: 927 / Avg: 955 / Max: 972Min: 943 / Avg: 968 / Max: 993

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP61326395265SE +/- 0.61, N = 3SE +/- 0.53, N = 3SE +/- 0.33, N = 357.6556.9756.88MIN: 17.43 / MAX: 102.46MIN: 18.25 / MAX: 87.32MIN: 17.04 / MAX: 77.081. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP61122334455Min: 56.62 / Avg: 57.65 / Max: 58.73Min: 56.28 / Avg: 56.97 / Max: 58.02Min: 56.22 / Avg: 56.88 / Max: 57.251. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6120240360480600SE +/- 5.87, N = 3SE +/- 5.22, N = 3SE +/- 3.31, N = 3554.44561.08561.881. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6100200300400500Min: 544.14 / Avg: 554.44 / Max: 564.47Min: 550.81 / Avg: 561.08 / Max: 567.85Min: 558.16 / Avg: 561.88 / Max: 568.481. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

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 23.5Algorithm: scryptDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP62004006008001000SE +/- 0.83, N = 3SE +/- 0.27, N = 3SE +/- 3.96, N = 3802.59813.35808.841. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: scryptDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6140280420560700Min: 801.04 / Avg: 802.59 / Max: 803.87Min: 813.05 / Avg: 813.35 / Max: 813.88Min: 800.92 / Avg: 808.84 / Max: 812.831. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfigDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP660120180240300SE +/- 0.53, N = 3SE +/- 0.65, N = 3SE +/- 0.58, N = 3285.69282.21285.96
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfigDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP650100150200250Min: 285.13 / Avg: 285.69 / Max: 286.76Min: 281.4 / Avg: 282.21 / Max: 283.49Min: 285.3 / Avg: 285.96 / Max: 287.11

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance of various popular real-world Java workloads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: TradesoapDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP612002400360048006000SE +/- 53.41, N = 3SE +/- 43.72, N = 15SE +/- 41.30, N = 11566856255695
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: TradesoapDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP610002000300040005000Min: 5576 / Avg: 5667.67 / Max: 5761Min: 5412 / Avg: 5625.13 / Max: 6031Min: 5447 / Avg: 5695.36 / Max: 5876

RocksDB

This is a benchmark of Meta/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 BetterRocksDB 8.0Test: Update RandomDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6100K200K300K400K500KSE +/- 462.43, N = 3SE +/- 102.40, N = 3SE +/- 375.32, N = 34841314800214858371. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Update RandomDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP680K160K240K320K400KMin: 483346 / Avg: 484131 / Max: 484947Min: 479831 / Avg: 480021.33 / Max: 480182Min: 485271 / Avg: 485837 / Max: 4865471. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

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 23.5Algorithm: Quad SHA-256, PyriteDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP630K60K90K120K150KSE +/- 55.48, N = 3SE +/- 1498.36, N = 3SE +/- 1883.77, N = 31535971547431554531. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: Quad SHA-256, PyriteDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP630K60K90K120K150KMin: 153510 / Avg: 153596.67 / Max: 153700Min: 153230 / Avg: 154743.33 / Max: 157740Min: 153500 / Avg: 155453.33 / Max: 1592201. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Machine Translation EN To DE FP16 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP680160240320400SE +/- 0.50, N = 3SE +/- 0.49, N = 3SE +/- 0.78, N = 3368.01372.30372.221. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Machine Translation EN To DE FP16 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP670140210280350Min: 367.39 / Avg: 368.01 / Max: 368.99Min: 371.6 / Avg: 372.3 / Max: 373.25Min: 370.81 / Avg: 372.22 / Max: 373.51. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Machine Translation EN To DE FP16 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP620406080100SE +/- 0.11, N = 3SE +/- 0.11, N = 3SE +/- 0.18, N = 386.8385.8485.85MIN: 46.22 / MAX: 127.41MIN: 42.72 / MAX: 128.74MIN: 41.81 / MAX: 127.311. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Machine Translation EN To DE FP16 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP61632486480Min: 86.61 / Avg: 86.83 / Max: 86.99Min: 85.63 / Avg: 85.84 / Max: 86Min: 85.56 / Avg: 85.85 / Max: 86.191. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance of various popular real-world Java workloads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Batik SVG ToolkitDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6400800120016002000SE +/- 12.32, N = 6SE +/- 3.87, N = 6SE +/- 13.40, N = 6170116821698
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Batik SVG ToolkitDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP630060090012001500Min: 1666 / Avg: 1700.67 / Max: 1753Min: 1663 / Avg: 1681.83 / Max: 1688Min: 1674 / Avg: 1698.33 / Max: 1764

easyWave

The easyWave software allows simulating tsunami generation and propagation in the context of early warning systems. EasyWave supports making use of OpenMP for CPU multi-threading and there are also GPU ports available but not currently incorporated as part of this test profile. The easyWave tsunami generation software is run with one of the example/reference input files for measuring the CPU execution time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BettereasyWave r34Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200Dynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6918273645SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 339.4639.0439.041. (CXX) g++ options: -O3 -fopenmp
OpenBenchmarking.orgSeconds, Fewer Is BettereasyWave r34Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200Dynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6816243240Min: 39.38 / Avg: 39.46 / Max: 39.55Min: 38.9 / Avg: 39.04 / Max: 39.2Min: 38.92 / Avg: 39.04 / Max: 39.131. (CXX) g++ options: -O3 -fopenmp

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP616K32K48K64K80KSE +/- 106.60, N = 3SE +/- 95.58, N = 3SE +/- 97.06, N = 374181.7574980.3774918.381. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP613K26K39K52K65KMin: 74060.56 / Avg: 74181.75 / Max: 74394.26Min: 74793.54 / Avg: 74980.37 / Max: 75108.79Min: 74724.26 / Avg: 74918.38 / Max: 75015.631. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance of various popular real-world Java workloads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Spring BootDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP65001000150020002500SE +/- 13.69, N = 4SE +/- 11.80, N = 4SE +/- 15.68, N = 15238724122399
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Spring BootDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6400800120016002000Min: 2354 / Avg: 2387 / Max: 2420Min: 2389 / Avg: 2412.25 / Max: 2445Min: 2255 / Avg: 2398.87 / Max: 2503

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Detection FP16 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6306090120150SE +/- 0.23, N = 3SE +/- 0.57, N = 3SE +/- 0.20, N = 3153.43152.49151.87MIN: 54.07 / MAX: 216.13MIN: 56.06 / MAX: 213.04MIN: 71.37 / MAX: 219.371. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Detection FP16 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6306090120150Min: 153.03 / Avg: 153.43 / Max: 153.82Min: 151.36 / Avg: 152.49 / Max: 153.17Min: 151.52 / Avg: 151.87 / Max: 152.221. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Person Detection FP16 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP650100150200250SE +/- 0.33, N = 3SE +/- 0.78, N = 3SE +/- 0.27, N = 3208.36209.64210.501. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Person Detection FP16 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP64080120160200Min: 207.79 / Avg: 208.36 / Max: 208.93Min: 208.71 / Avg: 209.64 / Max: 211.18Min: 210.05 / Avg: 210.5 / Max: 210.991. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenFOAM

OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Execution TimeDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6122436486053.7253.8354.261. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

Timed LLVM Compilation

This test times how long it takes to compile/build the LLVM compiler stack. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: NinjaDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP64080120160200SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3167.82166.19167.46
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: NinjaDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6306090120150Min: 167.72 / Avg: 167.82 / Max: 168Min: 166.15 / Avg: 166.19 / Max: 166.23Min: 167.37 / Avg: 167.46 / Max: 167.54

OpenFOAM

OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Execution TimeDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6150300450600750679.55673.28677.591. (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

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP63691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 39.889.839.79MIN: 5.9 / MAX: 36.14MIN: 5.83 / MAX: 27.83MIN: 5.6 / MAX: 23.251. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP63691215Min: 9.87 / Avg: 9.88 / Max: 9.9Min: 9.81 / Avg: 9.83 / Max: 9.85Min: 9.69 / Avg: 9.79 / Max: 9.851. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

Blender

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Classroom - Compute: CPU-OnlyDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP61224364860SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 354.1653.6753.75
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Classroom - Compute: CPU-OnlyDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP61122334455Min: 54.15 / Avg: 54.16 / Max: 54.16Min: 53.65 / Avg: 53.67 / Max: 53.69Min: 53.65 / Avg: 53.75 / Max: 53.8

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 0.13Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6400800120016002000SE +/- 2.73, N = 3SE +/- 2.19, N = 3SE +/- 1.73, N = 3165816501643
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP630060090012001500Min: 1654 / Avg: 1657.67 / Max: 1663Min: 1647 / Avg: 1649.67 / Max: 1654Min: 1640 / Avg: 1643 / Max: 1646

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP67K14K21K28K35KSE +/- 85.70, N = 3SE +/- 249.34, N = 3SE +/- 50.53, N = 3331113281733094
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP66K12K18K24K30KMin: 32941 / Avg: 33111.33 / Max: 33213Min: 32359 / Avg: 32816.67 / Max: 33217Min: 33023 / Avg: 33094.33 / Max: 33192

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP620K40K60K80K100KSE +/- 123.77, N = 3SE +/- 253.03, N = 3SE +/- 82.69, N = 394089.0194607.9894926.191. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP616K32K48K64K80KMin: 93935.04 / Avg: 94089.01 / Max: 94333.85Min: 94131.02 / Avg: 94607.98 / Max: 94992.93Min: 94783.45 / Avg: 94926.19 / Max: 95069.881. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

Blender

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: BMW27 - Compute: CPU-OnlyDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6510152025SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 321.7821.5921.62
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: BMW27 - Compute: CPU-OnlyDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6510152025Min: 21.73 / Avg: 21.78 / Max: 21.86Min: 21.54 / Avg: 21.59 / Max: 21.61Min: 21.59 / Avg: 21.62 / Max: 21.65

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP60.39120.78241.17361.56481.956SE +/- 0.00533, N = 5SE +/- 0.00436, N = 5SE +/- 0.00654, N = 51.738461.738421.72350MIN: 1.58MIN: 1.59MIN: 1.571. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6246810Min: 1.73 / Avg: 1.74 / Max: 1.76Min: 1.73 / Avg: 1.74 / Max: 1.75Min: 1.7 / Avg: 1.72 / Max: 1.741. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragon ObjDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP61632486480SE +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 374.0573.9073.42MIN: 73.28 / MAX: 75.58MIN: 73.22 / MAX: 74.9MIN: 72.69 / MAX: 74.45
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragon ObjDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP61428425670Min: 73.9 / Avg: 74.05 / Max: 74.19Min: 73.76 / Avg: 73.9 / Max: 74.08Min: 73.33 / Avg: 73.42 / Max: 73.48

Timed Godot Game Engine Compilation

This test times how long it takes to compile the Godot Game Engine. Godot is a popular, open-source, cross-platform 2D/3D game engine and is built using the SCons build system and targeting the X11 platform. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 4.0Time To CompileDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6306090120150SE +/- 0.14, N = 3SE +/- 0.51, N = 3SE +/- 0.26, N = 3130.80129.86130.97
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 4.0Time To CompileDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP620406080100Min: 130.52 / Avg: 130.8 / Max: 130.96Min: 128.86 / Avg: 129.86 / Max: 130.53Min: 130.46 / Avg: 130.97 / Max: 131.29

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP67001400210028003500SE +/- 3.50, N = 3SE +/- 3.44, N = 3SE +/- 16.81, N = 33231.743247.593258.821. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP66001200180024003000Min: 3224.75 / Avg: 3231.74 / Max: 3235.72Min: 3240.88 / Avg: 3247.59 / Max: 3252.28Min: 3241.1 / Avg: 3258.82 / Max: 3292.421. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

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 0.13Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP63K6K9K12K15KSE +/- 10.69, N = 3SE +/- 16.33, N = 3SE +/- 15.06, N = 3134171332213306
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP62K4K6K8K10KMin: 13403 / Avg: 13417 / Max: 13438Min: 13289 / Avg: 13321.67 / Max: 13338Min: 13287 / Avg: 13306.33 / Max: 13336

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP60.17370.34740.52110.69480.8685SE +/- 0.001650, N = 9SE +/- 0.000942, N = 9SE +/- 0.001168, N = 90.7720380.7657330.767655MIN: 0.76MIN: 0.76MIN: 0.761. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6246810Min: 0.77 / Avg: 0.77 / Max: 0.78Min: 0.76 / Avg: 0.77 / Max: 0.77Min: 0.76 / Avg: 0.77 / Max: 0.771. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance of various popular real-world Java workloads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: FOP Print FormatterDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6160320480640800SE +/- 3.59, N = 8SE +/- 1.77, N = 8SE +/- 2.62, N = 8739733737
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: FOP Print FormatterDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6130260390520650Min: 717 / Avg: 738.63 / Max: 749Min: 725 / Avg: 733 / Max: 739Min: 724 / Avg: 737.38 / Max: 749

Coremark

This is a test of EEMBC CoreMark processor benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6600K1200K1800K2400K3000KSE +/- 7834.55, N = 3SE +/- 1080.25, N = 3SE +/- 26379.27, N = 52609983.942615136.672594063.011. (CC) gcc options: -O2 -lrt" -lrt
OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6500K1000K1500K2000K2500KMin: 2594638.42 / Avg: 2609983.94 / Max: 2620400.23Min: 2613044.81 / Avg: 2615136.67 / Max: 2616650.48Min: 2488698.78 / Avg: 2594063.01 / Max: 2625102.541. (CC) gcc options: -O2 -lrt" -lrt

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 0.13Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP614002800420056007000SE +/- 6.66, N = 3SE +/- 0.58, N = 3SE +/- 10.90, N = 3669966556648
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP612002400360048006000Min: 6688 / Avg: 6699 / Max: 6711Min: 6654 / Avg: 6655 / Max: 6656Min: 6627 / Avg: 6647.67 / Max: 6664

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance of various popular real-world Java workloads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Apache TomcatDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP630060090012001500SE +/- 10.85, N = 5SE +/- 5.49, N = 5SE +/- 12.23, N = 5159515951583
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Apache TomcatDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP630060090012001500Min: 1563 / Avg: 1595.4 / Max: 1625Min: 1582 / Avg: 1595.4 / Max: 1612Min: 1543 / Avg: 1583.2 / Max: 1619

QuantLib

QuantLib is an open-source library/framework around quantitative finance for modeling, trading and risk management scenarios. QuantLib is written in C++ with Boost and its built-in benchmark used reports the QuantLib Benchmark Index benchmark score. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.32Configuration: Single-ThreadedDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP66001200180024003000SE +/- 1.50, N = 3SE +/- 15.21, N = 3SE +/- 13.41, N = 32626.42606.82610.01. (CXX) g++ options: -O3 -march=native -fPIE -pie
OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.32Configuration: Single-ThreadedDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP65001000150020002500Min: 2624.6 / Avg: 2626.43 / Max: 2629.4Min: 2576.4 / Avg: 2606.77 / Max: 2623.6Min: 2583.6 / Avg: 2610 / Max: 2627.31. (CXX) g++ options: -O3 -march=native -fPIE -pie

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance of various popular real-world Java workloads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Apache Lucene Search IndexDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP610002000300040005000SE +/- 3.51, N = 3SE +/- 9.82, N = 3SE +/- 9.96, N = 3448644644497
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Apache Lucene Search IndexDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP68001600240032004000Min: 4482 / Avg: 4486 / Max: 4493Min: 4447 / Avg: 4463.67 / Max: 4481Min: 4478 / Avg: 4496.67 / Max: 4512

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 0.13Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP690180270360450SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3419416416
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP670140210280350Min: 419 / Avg: 419 / Max: 419Min: 416 / Avg: 416.33 / Max: 417Min: 416 / Avg: 416 / Max: 416

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP615K30K45K60K75KSE +/- 74.81, N = 3SE +/- 84.69, N = 3SE +/- 9.24, N = 3698196932569499
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP612K24K36K48K60KMin: 69692 / Avg: 69819 / Max: 69951Min: 69158 / Avg: 69325 / Max: 69433Min: 69483 / Avg: 69498.67 / Max: 69515

DuckDB

DuckDB is an in-progress SQL OLAP database management system optimized for analytics and features a vectorized and parallel engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDuckDB 0.9.1Benchmark: TPC-H ParquetDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP64080120160200SE +/- 0.24, N = 3SE +/- 0.38, N = 3SE +/- 0.23, N = 3175.41176.49176.651. (CXX) g++ options: -O3 -rdynamic -lssl -lcrypto -ldl
OpenBenchmarking.orgSeconds, Fewer Is BetterDuckDB 0.9.1Benchmark: TPC-H ParquetDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6306090120150Min: 174.94 / Avg: 175.4 / Max: 175.75Min: 175.99 / Avg: 176.49 / Max: 177.25Min: 176.23 / Avg: 176.65 / Max: 177.021. (CXX) g++ options: -O3 -rdynamic -lssl -lcrypto -ldl

QMCPACK

QMCPACK is a modern high-performance open-source Quantum Monte Carlo (QMC) simulation code making use of MPI for this benchmark of the H20 example code. QMCPACK is an open-source production level many-body ab initio Quantum Monte Carlo code for computing the electronic structure of atoms, molecules, and solids. QMCPACK is supported by the U.S. Department of Energy. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: FeCO6_b3lyp_gmsDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6306090120150SE +/- 0.49, N = 3SE +/- 0.32, N = 3SE +/- 0.27, N = 3117.39116.57116.961. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl
OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: FeCO6_b3lyp_gmsDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP620406080100Min: 116.78 / Avg: 117.39 / Max: 118.36Min: 116.22 / Avg: 116.57 / Max: 117.21Min: 116.46 / Avg: 116.96 / Max: 117.41. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl

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 0.13Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP62K4K6K8K10KSE +/- 10.20, N = 3SE +/- 8.39, N = 3SE +/- 12.99, N = 3797979417924
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP614002800420056007000Min: 7967 / Avg: 7978.67 / Max: 7999Min: 7926 / Avg: 7941 / Max: 7955Min: 7901 / Avg: 7923.67 / Max: 7946

Timed LLVM Compilation

This test times how long it takes to compile/build the LLVM compiler stack. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Unix MakefilesDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP660120180240300SE +/- 0.10, N = 3SE +/- 0.42, N = 3SE +/- 1.07, N = 3260.33259.80258.54
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Unix MakefilesDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP650100150200250Min: 260.15 / Avg: 260.33 / Max: 260.5Min: 258.97 / Avg: 259.8 / Max: 260.3Min: 256.93 / Avg: 258.54 / Max: 260.58

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance of various popular real-world Java workloads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: EclipseDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP63K6K9K12K15KSE +/- 134.12, N = 3SE +/- 75.24, N = 3SE +/- 123.96, N = 3122211227112302
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: EclipseDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP62K4K6K8K10KMin: 12049 / Avg: 12220.67 / Max: 12485Min: 12131 / Avg: 12270.67 / Max: 12389Min: 12063 / Avg: 12302.33 / Max: 12478

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP60.25790.51580.77371.03161.2895SE +/- 0.00377, N = 6SE +/- 0.00376, N = 7SE +/- 0.00083, N = 71.139791.146321.13905MIN: 1.06MIN: 1.06MIN: 1.061. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6246810Min: 1.13 / Avg: 1.14 / Max: 1.16Min: 1.13 / Avg: 1.15 / Max: 1.16Min: 1.14 / Avg: 1.14 / Max: 1.141. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP62004006008001000SE +/- 2.26, N = 3SE +/- 0.59, N = 3SE +/- 2.64, N = 3807.50812.24807.19MIN: 797.78MIN: 804.37MIN: 797.491. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6140280420560700Min: 803.06 / Avg: 807.5 / Max: 810.42Min: 811.22 / Avg: 812.24 / Max: 813.26Min: 801.94 / Avg: 807.19 / Max: 810.261. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

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 0.13Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6400800120016002000SE +/- 2.08, N = 3SE +/- 1.76, N = 3SE +/- 0.58, N = 3197219601960
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP630060090012001500Min: 1968 / Avg: 1972 / Max: 1975Min: 1957 / Avg: 1960.33 / Max: 1963Min: 1959 / Avg: 1960 / Max: 1961

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP63K6K9K12K15KSE +/- 1.76, N = 3SE +/- 10.59, N = 3SE +/- 7.84, N = 3135801354313498
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP62K4K6K8K10KMin: 13577 / Avg: 13580.33 / Max: 13583Min: 13522 / Avg: 13542.67 / Max: 13557Min: 13485 / Avg: 13497.67 / Max: 13512

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6110220330440550SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3498496495
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP690180270360450Min: 497 / Avg: 497.67 / Max: 499Min: 495 / Avg: 495.67 / Max: 496Min: 495 / Avg: 495.33 / Max: 496

7-Zip Compression

This is a test of 7-Zip compression/decompression with its integrated benchmark feature. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP680K160K240K320K400KSE +/- 224.34, N = 3SE +/- 120.89, N = 3SE +/- 157.10, N = 33615303636993633591. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP660K120K180K240K300KMin: 361207 / Avg: 361529.67 / Max: 361961Min: 363458 / Avg: 363698.67 / Max: 363839Min: 363083 / Avg: 363359.33 / Max: 3636271. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer - Model: Asian DragonDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP620406080100SE +/- 0.10, N = 5SE +/- 0.03, N = 5SE +/- 0.04, N = 579.5579.7080.01MIN: 78.61 / MAX: 80.51MIN: 79.03 / MAX: 80.61MIN: 79.34 / MAX: 80.87
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer - Model: Asian DragonDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP61530456075Min: 79.16 / Avg: 79.55 / Max: 79.68Min: 79.61 / Avg: 79.7 / Max: 79.8Min: 79.9 / Avg: 80.01 / Max: 80.11

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 23.5Algorithm: SkeincoinDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP620K40K60K80K100KSE +/- 20.82, N = 3SE +/- 370.72, N = 3SE +/- 151.00, N = 38868089180889101. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: SkeincoinDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP615K30K45K60K75KMin: 88640 / Avg: 88680 / Max: 88710Min: 88770 / Avg: 89180 / Max: 89920Min: 88730 / Avg: 88910 / Max: 892101. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance of various popular real-world Java workloads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Apache CassandraDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP612002400360048006000SE +/- 3.48, N = 3SE +/- 34.53, N = 3SE +/- 32.51, N = 3578957905820
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Apache CassandraDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP610002000300040005000Min: 5783 / Avg: 5788.67 / Max: 5795Min: 5727 / Avg: 5790 / Max: 5846Min: 5755 / Avg: 5820 / Max: 5854

QMCPACK

QMCPACK is a modern high-performance open-source Quantum Monte Carlo (QMC) simulation code making use of MPI for this benchmark of the H20 example code. QMCPACK is an open-source production level many-body ab initio Quantum Monte Carlo code for computing the electronic structure of atoms, molecules, and solids. QMCPACK is supported by the U.S. Department of Energy. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: Li2_STO_aeDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6306090120150SE +/- 0.61, N = 3SE +/- 0.18, N = 3SE +/- 0.27, N = 3113.98113.38113.961. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl
OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: Li2_STO_aeDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP620406080100Min: 112.97 / Avg: 113.98 / Max: 115.09Min: 113.03 / Avg: 113.38 / Max: 113.63Min: 113.64 / Avg: 113.96 / Max: 114.491. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl

Timed Node.js Compilation

This test profile times how long it takes to build/compile Node.js itself from source. Node.js is a JavaScript run-time built from the Chrome V8 JavaScript engine while itself is written in C/C++. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 19.8.1Time To CompileDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6306090120150SE +/- 0.04, N = 3SE +/- 0.15, N = 3SE +/- 0.12, N = 3157.78156.99157.00
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 19.8.1Time To CompileDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6306090120150Min: 157.7 / Avg: 157.78 / Max: 157.82Min: 156.7 / Avg: 156.99 / Max: 157.16Min: 156.75 / Avg: 156.99 / Max: 157.15

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 0.13Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP615003000450060007500SE +/- 3.06, N = 3SE +/- 8.37, N = 3SE +/- 9.07, N = 3679367646760
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP612002400360048006000Min: 6787 / Avg: 6793 / Max: 6797Min: 6750 / Avg: 6764.33 / Max: 6779Min: 6746 / Avg: 6760 / Max: 6777

easyWave

The easyWave software allows simulating tsunami generation and propagation in the context of early warning systems. EasyWave supports making use of OpenMP for CPU multi-threading and there are also GPU ports available but not currently incorporated as part of this test profile. The easyWave tsunami generation software is run with one of the example/reference input files for measuring the CPU execution time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BettereasyWave r34Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240Dynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP60.42260.84521.26781.69042.113SE +/- 0.011, N = 9SE +/- 0.003, N = 9SE +/- 0.005, N = 91.8781.8691.8691. (CXX) g++ options: -O3 -fopenmp
OpenBenchmarking.orgSeconds, Fewer Is BettereasyWave r34Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240Dynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6246810Min: 1.84 / Avg: 1.88 / Max: 1.96Min: 1.86 / Avg: 1.87 / Max: 1.88Min: 1.84 / Avg: 1.87 / Max: 1.891. (CXX) g++ options: -O3 -fopenmp

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 0.13Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP690180270360450SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3425423423
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP680160240320400Min: 424 / Avg: 424.67 / Max: 425Min: 423 / Avg: 423 / Max: 423Min: 422 / Avg: 422.67 / Max: 423

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP62004006008001000SE +/- 0.30, N = 3SE +/- 2.70, N = 3SE +/- 2.76, N = 3808.78811.01807.34MIN: 800.97MIN: 800.64MIN: 795.771. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6140280420560700Min: 808.46 / Avg: 808.78 / Max: 809.37Min: 806.01 / Avg: 811.01 / Max: 815.29Min: 801.86 / Avg: 807.34 / Max: 810.631. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfigDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6918273645SE +/- 0.42, N = 5SE +/- 0.41, N = 5SE +/- 0.49, N = 440.3940.3840.56
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfigDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6816243240Min: 39.9 / Avg: 40.39 / Max: 42.05Min: 39.91 / Avg: 40.38 / Max: 42.01Min: 40.04 / Avg: 40.56 / Max: 42.03

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP60.0780.1560.2340.3120.39SE +/- 0.000899, N = 9SE +/- 0.000430, N = 9SE +/- 0.000642, N = 90.3467820.3465410.345276MIN: 0.34MIN: 0.34MIN: 0.341. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP612345Min: 0.34 / Avg: 0.35 / Max: 0.35Min: 0.34 / Avg: 0.35 / Max: 0.35Min: 0.34 / Avg: 0.35 / Max: 0.351. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP61632486480SE +/- 0.07, N = 5SE +/- 0.14, N = 5SE +/- 0.16, N = 573.8474.1574.11MIN: 72.65 / MAX: 75.71MIN: 72.69 / MAX: 75.98MIN: 72.48 / MAX: 76.13
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP61428425670Min: 73.73 / Avg: 73.84 / Max: 74.13Min: 73.71 / Avg: 74.15 / Max: 74.49Min: 73.54 / Avg: 74.11 / Max: 74.51

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 0.13Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP63K6K9K12K15KSE +/- 18.50, N = 3SE +/- 29.28, N = 3SE +/- 29.82, N = 3159601589615910
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP63K6K9K12K15KMin: 15934 / Avg: 15960.33 / Max: 15996Min: 15862 / Avg: 15895.67 / Max: 15954Min: 15852 / Avg: 15910 / Max: 15951

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 23.5Algorithm: Myriad-GroestlDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP66K12K18K24K30KSE +/- 58.97, N = 3SE +/- 76.67, N = 3SE +/- 14.53, N = 33001329987298931. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: Myriad-GroestlDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP65K10K15K20K25KMin: 29940 / Avg: 30013.33 / Max: 30130Min: 29910 / Avg: 29986.67 / Max: 30140Min: 29870 / Avg: 29893.33 / Max: 299201. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

QMCPACK

QMCPACK is a modern high-performance open-source Quantum Monte Carlo (QMC) simulation code making use of MPI for this benchmark of the H20 example code. QMCPACK is an open-source production level many-body ab initio Quantum Monte Carlo code for computing the electronic structure of atoms, molecules, and solids. QMCPACK is supported by the U.S. Department of Energy. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: simple-H2ODynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6714212835SE +/- 0.18, N = 3SE +/- 0.14, N = 3SE +/- 0.12, N = 330.4830.4330.541. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl
OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: simple-H2ODynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6714212835Min: 30.19 / Avg: 30.48 / Max: 30.8Min: 30.21 / Avg: 30.43 / Max: 30.68Min: 30.3 / Avg: 30.54 / Max: 30.671. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance of various popular real-world Java workloads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Avrora AVR Simulation FrameworkDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP615003000450060007500SE +/- 9.85, N = 3SE +/- 10.15, N = 3SE +/- 10.41, N = 3687769036881
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Avrora AVR Simulation FrameworkDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP612002400360048006000Min: 6863 / Avg: 6877 / Max: 6896Min: 6890 / Avg: 6903 / Max: 6923Min: 6862 / Avg: 6880.67 / Max: 6898

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 0.13Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6400800120016002000SE +/- 3.06, N = 3SE +/- 1.86, N = 3SE +/- 0.88, N = 3167916731673
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP630060090012001500Min: 1675 / Avg: 1679 / Max: 1685Min: 1669 / Avg: 1672.67 / Max: 1675Min: 1672 / Avg: 1673.33 / Max: 1675

7-Zip Compression

This is a test of 7-Zip compression/decompression with its integrated benchmark feature. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP690K180K270K360K450KSE +/- 497.61, N = 3SE +/- 352.41, N = 3SE +/- 126.01, N = 34294054299214309361. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP670K140K210K280K350KMin: 428442 / Avg: 429405 / Max: 430104Min: 429257 / Avg: 429920.67 / Max: 430458Min: 430807 / Avg: 430936 / Max: 4311881. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenVKL

OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 2.0.0Benchmark: vklBenchmarkCPU ISPCDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP630060090012001500SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.67, N = 3141714201422MIN: 114 / MAX: 17373MIN: 113 / MAX: 17461MIN: 114 / MAX: 17494
OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 2.0.0Benchmark: vklBenchmarkCPU ISPCDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP62004006008001000Min: 1417 / Avg: 1417.33 / Max: 1418Min: 1420 / Avg: 1420 / Max: 1420Min: 1421 / Avg: 1422.33 / Max: 1423

CloverLeaf

CloverLeaf is a Lagrangian-Eulerian hydrodynamics benchmark. This test profile currently makes use of CloverLeaf's OpenMP version. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm64_shortDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP61326395265SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 357.3657.1857.161. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm64_shortDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP61122334455Min: 57.33 / Avg: 57.36 / Max: 57.4Min: 57.15 / Avg: 57.18 / Max: 57.22Min: 57.09 / Avg: 57.16 / Max: 57.211. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

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 23.5Algorithm: DeepcoinDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP65K10K15K20K25KSE +/- 35.28, N = 3SE +/- 5.77, N = 3SE +/- 48.42, N = 32141321370214431. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: DeepcoinDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP64K8K12K16K20KMin: 21360 / Avg: 21413.33 / Max: 21480Min: 21360 / Avg: 21370 / Max: 21380Min: 21390 / Avg: 21443.33 / Max: 215401. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

PostgreSQL

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

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read OnlyDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6700K1400K2100K2800K3500KSE +/- 21879.14, N = 3SE +/- 20993.48, N = 3SE +/- 22492.45, N = 33103753311401531035851. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read OnlyDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6500K1000K1500K2000K2500KMin: 3072873.28 / Avg: 3103753.22 / Max: 3146043.01Min: 3072336.87 / Avg: 3114015.19 / Max: 3139255.15Min: 3059038.87 / Avg: 3103585.48 / Max: 3131283.851. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP630060090012001500SE +/- 15.06, N = 3SE +/- 10.16, N = 3SE +/- 3.73, N = 31307.771309.721305.341. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP62004006008001000Min: 1290.01 / Avg: 1307.77 / Max: 1337.71Min: 1289.72 / Avg: 1309.72 / Max: 1322.85Min: 1297.95 / Avg: 1305.34 / Max: 1309.91. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6612182430SE +/- 0.28, N = 3SE +/- 0.19, N = 3SE +/- 0.07, N = 324.4124.3724.45MIN: 9.88 / MAX: 54.94MIN: 9.52 / MAX: 57.66MIN: 8.96 / MAX: 51.371. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6612182430Min: 23.86 / Avg: 24.41 / Max: 24.74Min: 24.13 / Avg: 24.37 / Max: 24.74Min: 24.36 / Avg: 24.45 / Max: 24.591. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP62004006008001000SE +/- 1.62, N = 3SE +/- 2.78, N = 3SE +/- 1.70, N = 3807.92805.40807.40MIN: 798.54MIN: 796.45MIN: 799.361. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6140280420560700Min: 806.17 / Avg: 807.92 / Max: 811.16Min: 801.73 / Avg: 805.4 / Max: 810.85Min: 804.03 / Avg: 807.4 / Max: 809.471. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

PostgreSQL

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

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average LatencyDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP60.07250.1450.21750.290.3625SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.003, N = 30.3220.3210.3221. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average LatencyDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP612345Min: 0.32 / Avg: 0.32 / Max: 0.33Min: 0.32 / Avg: 0.32 / Max: 0.33Min: 0.32 / Avg: 0.32 / Max: 0.331. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

easyWave

The easyWave software allows simulating tsunami generation and propagation in the context of early warning systems. EasyWave supports making use of OpenMP for CPU multi-threading and there are also GPU ports available but not currently incorporated as part of this test profile. The easyWave tsunami generation software is run with one of the example/reference input files for measuring the CPU execution time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BettereasyWave r34Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400Dynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP620406080100SE +/- 0.24, N = 3SE +/- 0.22, N = 3SE +/- 0.07, N = 3111.28110.93111.281. (CXX) g++ options: -O3 -fopenmp
OpenBenchmarking.orgSeconds, Fewer Is BettereasyWave r34Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400Dynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP620406080100Min: 111 / Avg: 111.28 / Max: 111.75Min: 110.58 / Avg: 110.93 / Max: 111.34Min: 111.13 / Avg: 111.28 / Max: 111.371. (CXX) g++ options: -O3 -fopenmp

TiDB Community Server

This is a PingCAP TiDB Community Server benchmark facilitated using the sysbench OLTP database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Second, More Is BetterTiDB Community Server 7.3Test: oltp_point_select - Threads: 128Dynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP630K60K90K120K150KSE +/- 187.31, N = 3SE +/- 46.36, N = 2SE +/- 388.36, N = 3131834131735132132
OpenBenchmarking.orgQueries Per Second, More Is BetterTiDB Community Server 7.3Test: oltp_point_select - Threads: 128Dynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP620K40K60K80K100KMin: 131555.37 / Avg: 131834.02 / Max: 132190.19Min: 131688.99 / Avg: 131735.35 / Max: 131781.7Min: 131387.04 / Avg: 132132.46 / Max: 132694.21

CloverLeaf

CloverLeaf is a Lagrangian-Eulerian hydrodynamics benchmark. This test profile currently makes use of CloverLeaf's OpenMP version. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm16Dynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6110220330440550SE +/- 0.63, N = 3SE +/- 0.38, N = 3SE +/- 0.87, N = 3496.40494.92495.431. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm16Dynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP690180270360450Min: 495.73 / Avg: 496.4 / Max: 497.65Min: 494.45 / Avg: 494.92 / Max: 495.67Min: 493.83 / Avg: 495.43 / Max: 496.81. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

QMCPACK

QMCPACK is a modern high-performance open-source Quantum Monte Carlo (QMC) simulation code making use of MPI for this benchmark of the H20 example code. QMCPACK is an open-source production level many-body ab initio Quantum Monte Carlo code for computing the electronic structure of atoms, molecules, and solids. QMCPACK is supported by the U.S. Department of Energy. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: O_ae_pyscf_UHFDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP64080120160200SE +/- 0.22, N = 3SE +/- 1.04, N = 3SE +/- 0.74, N = 3202.70202.11202.361. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl
OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: O_ae_pyscf_UHFDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP64080120160200Min: 202.27 / Avg: 202.7 / Max: 202.96Min: 200.36 / Avg: 202.11 / Max: 203.97Min: 201.58 / Avg: 202.36 / Max: 203.841. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl

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 23.5Algorithm: RingcoinDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP62K4K6K8K10KSE +/- 1.70, N = 3SE +/- 1.86, N = 3SE +/- 58.30, N = 117956.527949.677933.761. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: RingcoinDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP614002800420056007000Min: 7954.43 / Avg: 7956.52 / Max: 7959.89Min: 7946.89 / Avg: 7949.67 / Max: 7953.21Min: 7709.98 / Avg: 7933.76 / Max: 8432.111. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Apache IoTDB

Apache IotDB is a time series database and this benchmark is facilitated using the IoT Benchmaark [https://github.com/thulab/iot-benchmark/]. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400Dynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP64080120160200SE +/- 1.60, N = 3SE +/- 3.27, N = 3SE +/- 1.25, N = 3179.25179.17179.67MAX: 27281.2MAX: 27068.91MAX: 26880.71
OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400Dynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6306090120150Min: 176.13 / Avg: 179.25 / Max: 181.46Min: 172.8 / Avg: 179.17 / Max: 183.65Min: 178.08 / Avg: 179.67 / Max: 182.14

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 23.5Algorithm: LBC, LBRY CreditsDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP69K18K27K36K45KSE +/- 6.67, N = 3SE +/- 17.64, N = 3SE +/- 5.77, N = 34146341383413501. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: LBC, LBRY CreditsDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP67K14K21K28K35KMin: 41450 / Avg: 41463.33 / Max: 41470Min: 41350 / Avg: 41383.33 / Max: 41410Min: 41340 / Avg: 41350 / Max: 413601. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6246810SE +/- 0.01034, N = 3SE +/- 0.03103, N = 3SE +/- 0.00704, N = 38.604548.627758.62102MIN: 7.95MIN: 8MIN: 8.011. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP63691215Min: 8.58 / Avg: 8.6 / Max: 8.62Min: 8.57 / Avg: 8.63 / Max: 8.66Min: 8.61 / Avg: 8.62 / Max: 8.631. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6120240360480600SE +/- 0.86, N = 3SE +/- 3.84, N = 3SE +/- 1.16, N = 3551.39552.19550.81MIN: 543.64MIN: 541.87MIN: 543.571. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6100200300400500Min: 549.67 / Avg: 551.39 / Max: 552.26Min: 547.73 / Avg: 552.19 / Max: 559.84Min: 548.81 / Avg: 550.81 / Max: 552.841. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

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 0.13Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP613K26K39K52K65KSE +/- 196.68, N = 3SE +/- 63.01, N = 3SE +/- 105.01, N = 3603306018360314
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP610K20K30K40K50KMin: 59938 / Avg: 60329.67 / Max: 60557Min: 60068 / Avg: 60183.33 / Max: 60285Min: 60172 / Avg: 60314 / Max: 60519

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP68K16K24K32K40KSE +/- 68.64, N = 3SE +/- 23.25, N = 3SE +/- 84.89, N = 3380943808138008
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP67K14K21K28K35KMin: 37957 / Avg: 38094 / Max: 38170Min: 38038 / Avg: 38080.67 / Max: 38118Min: 37918 / Avg: 38008.33 / Max: 38178

RocksDB

This is a benchmark of Meta/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 BetterRocksDB 8.0Test: Random ReadDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP680M160M240M320M400MSE +/- 805455.00, N = 3SE +/- 286715.49, N = 3SE +/- 78230.55, N = 33646939163653831713654989441. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Random ReadDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP660M120M180M240M300MMin: 363084607 / Avg: 364693916 / Max: 365560753Min: 365031669 / Avg: 365383170.67 / Max: 365951289Min: 365342578 / Avg: 365498944.33 / Max: 3655818431. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6120240360480600SE +/- 2.21, N = 3SE +/- 3.03, N = 3SE +/- 3.04, N = 3551.68550.53550.94MIN: 542.54MIN: 539.43MIN: 540.621. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6100200300400500Min: 548.32 / Avg: 551.68 / Max: 555.86Min: 545.24 / Avg: 550.53 / Max: 555.72Min: 546.64 / Avg: 550.94 / Max: 556.81. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Blender

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Barbershop - Compute: CPU-OnlyDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP64080120160200SE +/- 0.15, N = 3SE +/- 0.16, N = 3SE +/- 0.24, N = 3203.02202.64202.93
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Barbershop - Compute: CPU-OnlyDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP64080120160200Min: 202.77 / Avg: 203.02 / Max: 203.29Min: 202.45 / Avg: 202.64 / Max: 202.96Min: 202.55 / Avg: 202.93 / Max: 203.38

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP60.10410.20820.31230.41640.5205SE +/- 0.001306, N = 7SE +/- 0.001085, N = 7SE +/- 0.000671, N = 70.4619780.4616720.462504MIN: 0.44MIN: 0.44MIN: 0.441. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP612345Min: 0.46 / Avg: 0.46 / Max: 0.47Min: 0.46 / Avg: 0.46 / Max: 0.47Min: 0.46 / Avg: 0.46 / Max: 0.461. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer - Model: Asian Dragon ObjDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP61632486480SE +/- 0.07, N = 3SE +/- 0.20, N = 3SE +/- 0.41, N = 370.9470.8270.92MIN: 70.26 / MAX: 71.81MIN: 70.01 / MAX: 71.92MIN: 69.53 / MAX: 72.34
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer - Model: Asian Dragon ObjDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP61428425670Min: 70.86 / Avg: 70.94 / Max: 71.07Min: 70.57 / Avg: 70.82 / Max: 71.21Min: 70.13 / Avg: 70.92 / Max: 71.51

OpenVKL

OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 2.0.0Benchmark: vklBenchmarkCPU ScalarDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6130260390520650SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3590591591MIN: 42 / MAX: 10106MIN: 42 / MAX: 10116MIN: 42 / MAX: 10115
OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 2.0.0Benchmark: vklBenchmarkCPU ScalarDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6100200300400500Min: 589 / Avg: 589.67 / Max: 590Min: 590 / Avg: 590.67 / Max: 591Min: 591 / Avg: 591 / Max: 591

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP620406080100SE +/- 0.11, N = 5SE +/- 0.05, N = 5SE +/- 0.13, N = 586.8286.8386.69MIN: 85.87 / MAX: 88.44MIN: 86.04 / MAX: 88.04MIN: 85.69 / MAX: 88.22
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP61632486480Min: 86.5 / Avg: 86.82 / Max: 87.16Min: 86.67 / Avg: 86.83 / Max: 86.92Min: 86.29 / Avg: 86.69 / Max: 87.01

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 0.13Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP613K26K39K52K65KSE +/- 63.86, N = 3SE +/- 118.55, N = 3SE +/- 75.76, N = 3595965962059530
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP610K20K30K40K50KMin: 59488 / Avg: 59595.67 / Max: 59709Min: 59480 / Avg: 59620.33 / Max: 59856Min: 59395 / Avg: 59530.33 / Max: 59657

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 23.5Algorithm: GarlicoinDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP63K6K9K12K15KSE +/- 20.82, N = 3SE +/- 31.80, N = 3SE +/- 27.28, N = 31253012513125131. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: GarlicoinDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP62K4K6K8K10KMin: 12490 / Avg: 12530 / Max: 12560Min: 12450 / Avg: 12513.33 / Max: 12550Min: 12460 / Avg: 12513.33 / Max: 125501. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP615003000450060007500SE +/- 2.08, N = 3SE +/- 12.82, N = 3SE +/- 12.85, N = 36870.146879.036874.041. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP612002400360048006000Min: 6867.82 / Avg: 6870.14 / Max: 6874.29Min: 6857.52 / Avg: 6879.03 / Max: 6901.88Min: 6861.19 / Avg: 6874.04 / Max: 6899.731. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

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 23.5Algorithm: Triple SHA-256, OnecoinDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP660K120K180K240K300KSE +/- 239.75, N = 3SE +/- 90.74, N = 3SE +/- 126.62, N = 32692732689702692801. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: Triple SHA-256, OnecoinDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP650K100K150K200K250KMin: 268990 / Avg: 269273.33 / Max: 269750Min: 268790 / Avg: 268970 / Max: 269080Min: 269090 / Avg: 269280 / Max: 2695201. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

DuckDB

DuckDB is an in-progress SQL OLAP database management system optimized for analytics and features a vectorized and parallel engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDuckDB 0.9.1Benchmark: IMDBDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6306090120150SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.16, N = 3123.37123.24123.321. (CXX) g++ options: -O3 -rdynamic -lssl -lcrypto -ldl
OpenBenchmarking.orgSeconds, Fewer Is BetterDuckDB 0.9.1Benchmark: IMDBDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP620406080100Min: 123.28 / Avg: 123.37 / Max: 123.5Min: 123.11 / Avg: 123.24 / Max: 123.36Min: 123.12 / Avg: 123.32 / Max: 123.641. (CXX) g++ options: -O3 -rdynamic -lssl -lcrypto -ldl

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP63691215SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 39.309.299.29MIN: 4.94 / MAX: 41.53MIN: 4.97 / MAX: 20.13MIN: 5.01 / MAX: 25.361. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP63691215Min: 9.29 / Avg: 9.3 / Max: 9.3Min: 9.26 / Avg: 9.29 / Max: 9.32Min: 9.26 / Avg: 9.29 / Max: 9.311. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

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 23.5Algorithm: MagiDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP630060090012001500SE +/- 0.71, N = 3SE +/- 3.52, N = 3SE +/- 1.67, N = 31607.541609.091607.941. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: MagiDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP630060090012001500Min: 1606.53 / Avg: 1607.54 / Max: 1608.91Min: 1605.11 / Avg: 1609.09 / Max: 1616.11Min: 1605.44 / Avg: 1607.94 / Max: 1611.111. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection FP16-INT8 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP61530456075SE +/- 0.11, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 367.0567.0067.061. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection FP16-INT8 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP61326395265Min: 66.9 / Avg: 67.05 / Max: 67.26Min: 66.92 / Avg: 67 / Max: 67.06Min: 67.02 / Avg: 67.06 / Max: 67.091. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance of various popular real-world Java workloads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: jMonkeyEngineDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP615003000450060007500SE +/- 1.67, N = 3SE +/- 3.00, N = 3SE +/- 1.76, N = 3691069066905
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: jMonkeyEngineDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP612002400360048006000Min: 6907 / Avg: 6910.33 / Max: 6912Min: 6903 / Avg: 6906 / Max: 6912Min: 6902 / Avg: 6904.67 / Max: 6908

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP60.29780.59560.89341.19121.489SE +/- 0.00125, N = 9SE +/- 0.00099, N = 9SE +/- 0.00098, N = 91.323731.323151.32320MIN: 1.31MIN: 1.31MIN: 1.311. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6246810Min: 1.32 / Avg: 1.32 / Max: 1.33Min: 1.32 / Avg: 1.32 / Max: 1.33Min: 1.32 / Avg: 1.32 / Max: 1.331. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

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 23.5Algorithm: Blake-2 SDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP680K160K240K320K400KSE +/- 23.33, N = 3SE +/- 3.33, N = 3SE +/- 140.00, N = 33640533640773641901. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: Blake-2 SDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP660K120K180K240K300KMin: 364010 / Avg: 364053.33 / Max: 364090Min: 364070 / Avg: 364076.67 / Max: 364080Min: 364050 / Avg: 364190 / Max: 3644701. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection FP16-INT8 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6100200300400500SE +/- 0.70, N = 3SE +/- 0.08, N = 3SE +/- 0.10, N = 3475.52475.51475.35MIN: 425.59 / MAX: 494.41MIN: 246.55 / MAX: 497.4MIN: 436.16 / MAX: 492.521. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection FP16-INT8 - Device: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP680160240320400Min: 474.18 / Avg: 475.52 / Max: 476.51Min: 475.37 / Avg: 475.51 / Max: 475.64Min: 475.2 / Avg: 475.35 / Max: 475.531. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

Intel Open Image Denoise

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RTLightmap.hdr.4096x4096 - Device: CPU-OnlyDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP60.22730.45460.68190.90921.1365SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.011.011.01
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RTLightmap.hdr.4096x4096 - Device: CPU-OnlyDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6246810Min: 1.01 / Avg: 1.01 / Max: 1.01Min: 1.01 / Avg: 1.01 / Max: 1.01Min: 1.01 / Avg: 1.01 / Max: 1.01

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-OnlyDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP60.47930.95861.43791.91722.3965SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.00, N = 42.132.132.13
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-OnlyDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6246810Min: 2.13 / Avg: 2.13 / Max: 2.13Min: 2.13 / Avg: 2.13 / Max: 2.13Min: 2.13 / Avg: 2.13 / Max: 2.13

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-OnlyDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP60.4770.9541.4311.9082.385SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.00, N = 42.122.122.12
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-OnlyDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6246810Min: 2.12 / Avg: 2.12 / Max: 2.12Min: 2.12 / Avg: 2.12 / Max: 2.13Min: 2.12 / Avg: 2.12 / Max: 2.12

CPU Temperature Monitor

OpenBenchmarking.orgCelsiusCPU Temperature MonitorPhoronix Test Suite System MonitoringDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP620406080100Min: 30 / Avg: 63.81 / Max: 87.88Min: 25 / Avg: 42.69 / Max: 64.75Min: 25.5 / Avg: 41.58 / Max: 63.13

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP64080120160200Min: 6.93 / Avg: 126.41 / Max: 230.52Min: 6.16 / Avg: 119.77 / Max: 230.54Min: 6.05 / Avg: 121.3 / Max: 230.54

TiDB Community Server

OpenBenchmarking.orgCelsius, Fewer Is BetterTiDB Community Server 7.3CPU Temperature MonitorDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP61530456075Min: 43.88 / Avg: 58.81 / Max: 79.63Min: 31.88 / Avg: 37.68 / Max: 48.75Min: 30.38 / Avg: 35.79 / Max: 45.13

OpenBenchmarking.orgWatts, Fewer Is BetterTiDB Community Server 7.3CPU Power Consumption MonitorDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6306090120150Min: 14.01 / Avg: 104.59 / Max: 173.1Min: 12.54 / Avg: 97.56 / Max: 165.55Min: 12.49 / Avg: 99.85 / Max: 163.87

OpenBenchmarking.orgQueries Per Second, More Is BetterTiDB Community Server 7.3Test: oltp_read_write - Threads: 128Dynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP620K40K60K80K100KSE +/- 88.74, N = 3SE +/- 4551.87, N = 9SE +/- 80.07, N = 3926518810692598
OpenBenchmarking.orgQueries Per Second, More Is BetterTiDB Community Server 7.3Test: oltp_read_write - Threads: 128Dynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP616K32K48K64K80KMin: 92474.41 / Avg: 92651.27 / Max: 92752.63Min: 51698.39 / Avg: 88105.71 / Max: 93069.26Min: 92510.1 / Avg: 92598.06 / Max: 92757.93

QMCPACK

MinAvgMaxDynatron A5461.174.380.9NH-D9 TR5-SP6 4U39.950.453.3Noctua NH-U14S TR5-SP637.147.250.4OpenBenchmarking.orgCelsius, Fewer Is BetterQMCPACK 3.17.1CPU Temperature Monitor20406080100

MinAvgMaxDynatron A5413.9162.2222.8NH-D9 TR5-SP6 4U12.6156.0210.7Noctua NH-U14S TR5-SP611.6156.0209.6OpenBenchmarking.orgWatts, Fewer Is BetterQMCPACK 3.17.1CPU Power Consumption Monitor60120180240300

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: H4_aeDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP63691215SE +/- 0.14, N = 4SE +/- 0.25, N = 12SE +/- 0.15, N = 412.9413.3813.551. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl
OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: H4_aeDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP648121620Min: 12.58 / Avg: 12.94 / Max: 13.19Min: 12.04 / Avg: 13.38 / Max: 15.14Min: 13.11 / Avg: 13.55 / Max: 13.771. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl

oneDNN

MinAvgMaxDynatron A5441.947.351.1NH-D9 TR5-SP6 4U29.434.436.9Noctua NH-U14S TR5-SP628.633.536.1OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.3CPU Temperature Monitor1530456075

MinAvgMaxDynatron A5412.482.5175.0NH-D9 TR5-SP6 4U11.380.9171.5Noctua NH-U14S TR5-SP611.680.4171.4OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.3CPU Power Consumption Monitor50100150200250

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP60.26020.52040.78061.04081.301SE +/- 0.020821, N = 12SE +/- 0.026240, N = 15SE +/- 0.022930, N = 151.1563021.1201351.132469MIN: 0.92MIN: 0.92MIN: 0.931. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6246810Min: 0.98 / Avg: 1.16 / Max: 1.2Min: 0.98 / Avg: 1.12 / Max: 1.21Min: 0.98 / Avg: 1.13 / Max: 1.21. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

MinAvgMaxDynatron A5443.145.947.9NH-D9 TR5-SP6 4U29.032.333.8Noctua NH-U14S TR5-SP628.431.633.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.3CPU Temperature Monitor1428425670

MinAvgMaxDynatron A5412.177.8121.7NH-D9 TR5-SP6 4U12.075.9120.7Noctua NH-U14S TR5-SP612.175.8120.8OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.3CPU Power Consumption Monitor4080120160200

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6246810SE +/- 0.51948, N = 15SE +/- 0.56116, N = 15SE +/- 0.50620, N = 157.667136.708846.98466MIN: 1.99MIN: 2.2MIN: 2.061. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP63691215Min: 3.27 / Avg: 7.67 / Max: 9.29Min: 3.48 / Avg: 6.71 / Max: 9.08Min: 3.61 / Avg: 6.98 / Max: 91. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

MinAvgMaxDynatron A5445.947.551.3NH-D9 TR5-SP6 4U30.632.834.6Noctua NH-U14S TR5-SP629.531.933.9OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.3CPU Temperature Monitor1530456075

MinAvgMaxDynatron A5411.979.3151.6NH-D9 TR5-SP6 4U10.975.6121.7Noctua NH-U14S TR5-SP611.174.9126.1OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.3CPU Power Consumption Monitor4080120160200

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP61.02442.04883.07324.09765.122SE +/- 0.31635, N = 12SE +/- 0.29938, N = 15SE +/- 0.21282, N = 153.898144.152794.55277MIN: 1.18MIN: 1.31MIN: 1.471. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6246810Min: 2 / Avg: 3.9 / Max: 5.58Min: 1.83 / Avg: 4.15 / Max: 5.41Min: 2.52 / Avg: 4.55 / Max: 5.711. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

MinAvgMaxDynatron A5445.653.359.5NH-D9 TR5-SP6 4U31.337.542.3Noctua NH-U14S TR5-SP630.636.240.8OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.3CPU Temperature Monitor1632486480

MinAvgMaxDynatron A5411.895.8174.9NH-D9 TR5-SP6 4U11.993.2174.8Noctua NH-U14S TR5-SP611.992.1173.0OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.3CPU Power Consumption Monitor50100150200250

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP60.56461.12921.69382.25842.823SE +/- 0.05467, N = 15SE +/- 0.07713, N = 15SE +/- 0.06453, N = 122.509292.380052.48457MIN: 1.61MIN: 1.56MIN: 1.581. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6246810Min: 1.9 / Avg: 2.51 / Max: 2.68Min: 1.78 / Avg: 2.38 / Max: 2.63Min: 1.84 / Avg: 2.48 / Max: 2.631. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

DaCapo Benchmark

MinAvgMaxDynatron A5435.839.141.3NH-D9 TR5-SP6 4U27.530.632.0Noctua NH-U14S TR5-SP627.030.631.8OpenBenchmarking.orgCelsius, Fewer Is BetterDaCapo Benchmark 23.11CPU Temperature Monitor1122334455

MinAvgMaxDynatron A5411.959.882.5NH-D9 TR5-SP6 4U12.358.480.0Noctua NH-U14S TR5-SP611.759.082.9OpenBenchmarking.orgWatts, Fewer Is BetterDaCapo Benchmark 23.11CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: H2O In-Memory Platform For Machine LearningDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP610002000300040005000SE +/- 28.54, N = 3SE +/- 37.26, N = 3SE +/- 266.33, N = 15400139984448
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: H2O In-Memory Platform For Machine LearningDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP68001600240032004000Min: 3970 / Avg: 4001 / Max: 4058Min: 3956 / Avg: 3997.67 / Max: 4072Min: 3886 / Avg: 4448.07 / Max: 7092

MinAvgMaxDynatron A5434.441.945.8NH-D9 TR5-SP6 4U27.933.034.8Noctua NH-U14S TR5-SP626.531.933.6OpenBenchmarking.orgCelsius, Fewer Is BetterDaCapo Benchmark 23.11CPU Temperature Monitor1224364860

MinAvgMaxDynatron A5410.263.1121.9NH-D9 TR5-SP6 4U12.061.7120.0Noctua NH-U14S TR5-SP610.662.2118.8OpenBenchmarking.orgWatts, Fewer Is BetterDaCapo Benchmark 23.11CPU Power Consumption Monitor4080120160200

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: PMD Source Code AnalyzerDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6400800120016002000SE +/- 29.96, N = 15SE +/- 25.71, N = 12SE +/- 28.43, N = 15182518171824
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: PMD Source Code AnalyzerDynatron A54NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP630060090012001500Min: 1677 / Avg: 1824.67 / Max: 2025Min: 1691 / Avg: 1817.33 / Max: 1964Min: 1678 / Avg: 1824 / Max: 2029

205 Results Shown

OpenFOAM:
  drivaerFastback, Small Mesh Size - Mesh Time
  drivaerFastback, Medium Mesh Size - Mesh Time
PostgreSQL:
  100 - 1000 - Read Write - Average Latency
  100 - 1000 - Read Write
C-Blosc:
  blosclz shuffle - 64MB
  blosclz shuffle - 128MB
  blosclz shuffle - 32MB
  blosclz shuffle - 8MB
  blosclz shuffle - 256MB
  blosclz shuffle - 16MB
  blosclz bitshuffle - 256MB
  blosclz noshuffle - 128MB
  blosclz bitshuffle - 64MB
  blosclz bitshuffle - 128MB
  blosclz noshuffle - 256MB
  blosclz noshuffle - 16MB
  blosclz noshuffle - 32MB
  blosclz noshuffle - 64MB
  blosclz bitshuffle - 8MB
  blosclz bitshuffle - 32MB
  blosclz noshuffle - 8MB
  blosclz bitshuffle - 16MB
TiDB Community Server
Apache IoTDB
TiDB Community Server
Apache IoTDB
OpenVINO:
  Handwritten English Recognition FP16-INT8 - CPU:
    ms
    FPS
DaCapo Benchmark:
  Tradebeans
  Apache Lucene Search Engine
  H2 Database Engine
QMCPACK
Blender
oneDNN
OpenVINO:
  Handwritten English Recognition FP16 - CPU:
    ms
    FPS
oneDNN
OpenVINO:
  Vehicle Detection FP16-INT8 - CPU
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU
  Vehicle Detection FP16-INT8 - CPU
DaCapo Benchmark
RocksDB
oneDNN
OpenVINO
DaCapo Benchmark
OpenVINO
DaCapo Benchmark
Timed Gem5 Compilation
CloverLeaf
Blender
oneDNN
OpenVINO:
  Face Detection Retail FP16-INT8 - CPU:
    ms
    FPS
  Face Detection Retail FP16 - CPU:
    FPS
OSPRay Studio
OpenVINO:
  Face Detection Retail FP16 - CPU
  Age Gender Recognition Retail 0013 FP16 - CPU
QuantLib
oneDNN
OpenVINO:
  Weld Porosity Detection FP16 - CPU:
    FPS
    ms
DaCapo Benchmark:
  Zxing 1D/2D Barcode Image Processing
  Jython
OpenVINO:
  Road Segmentation ADAS FP16-INT8 - CPU:
    FPS
    ms
  Face Detection FP16 - CPU:
    FPS
Apache IoTDB
RocksDB
Embree
OpenVINO
DaCapo Benchmark
OpenVINO:
  Road Segmentation ADAS FP16 - CPU:
    ms
    FPS
Cpuminer-Opt
Timed Linux Kernel Compilation
DaCapo Benchmark
RocksDB
Cpuminer-Opt
OpenVINO:
  Machine Translation EN To DE FP16 - CPU:
    FPS
    ms
DaCapo Benchmark
easyWave
OpenVINO
DaCapo Benchmark
OpenVINO:
  Person Detection FP16 - CPU:
    ms
    FPS
OpenFOAM
Timed LLVM Compilation
OpenFOAM
OpenVINO
Blender
OSPRay Studio:
  1 - 4K - 1 - Path Tracer - CPU
  1 - 4K - 16 - Path Tracer - CPU
OpenVINO
Blender
oneDNN
Embree
Timed Godot Game Engine Compilation
OpenVINO
OSPRay Studio
oneDNN
DaCapo Benchmark
Coremark
OSPRay Studio
DaCapo Benchmark
QuantLib
DaCapo Benchmark
OSPRay Studio:
  1 - 1080p - 1 - Path Tracer - CPU
  3 - 4K - 32 - Path Tracer - CPU
DuckDB
QMCPACK
OSPRay Studio
Timed LLVM Compilation
DaCapo Benchmark
oneDNN:
  Convolution Batch Shapes Auto - f32 - CPU
  Recurrent Neural Network Training - u8s8f32 - CPU
OSPRay Studio:
  3 - 4K - 1 - Path Tracer - CPU
  2 - 1080p - 32 - Path Tracer - CPU
  3 - 1080p - 1 - Path Tracer - CPU
7-Zip Compression
Embree
Cpuminer-Opt
DaCapo Benchmark
QMCPACK
Timed Node.js Compilation
OSPRay Studio
easyWave
OSPRay Studio
oneDNN
Timed Linux Kernel Compilation
oneDNN
Embree
OSPRay Studio
Cpuminer-Opt
QMCPACK
DaCapo Benchmark
OSPRay Studio
7-Zip Compression
OpenVKL
CloverLeaf
Cpuminer-Opt
PostgreSQL
OpenVINO:
  Vehicle Detection FP16 - CPU:
    FPS
    ms
oneDNN
PostgreSQL
easyWave
TiDB Community Server
CloverLeaf
QMCPACK
Cpuminer-Opt
Apache IoTDB
Cpuminer-Opt
oneDNN:
  Deconvolution Batch shapes_1d - f32 - CPU
  Recurrent Neural Network Inference - u8s8f32 - CPU
OSPRay Studio:
  2 - 4K - 32 - Path Tracer - CPU
  3 - 4K - 16 - Path Tracer - CPU
RocksDB
oneDNN
Blender
oneDNN
Embree
OpenVKL
Embree
OSPRay Studio
Cpuminer-Opt
OpenVINO
Cpuminer-Opt
DuckDB
OpenVINO
Cpuminer-Opt
OpenVINO
DaCapo Benchmark
oneDNN
Cpuminer-Opt
OpenVINO
Intel Open Image Denoise:
  RTLightmap.hdr.4096x4096 - CPU-Only
  RT.ldr_alb_nrm.3840x2160 - CPU-Only
  RT.hdr_alb_nrm.3840x2160 - CPU-Only
CPU Temperature Monitor:
  Phoronix Test Suite System Monitoring:
    Celsius
    Watts
  CPU Temp Monitor:
    Celsius
  CPU Power Consumption Monitor:
    Watts
TiDB Community Server
QMCPACK:
  CPU Temp Monitor
  CPU Power Consumption Monitor
QMCPACK
oneDNN:
  CPU Temp Monitor
  CPU Power Consumption Monitor
oneDNN
oneDNN:
  CPU Temp Monitor
  CPU Power Consumption Monitor
oneDNN
oneDNN:
  CPU Temp Monitor
  CPU Power Consumption Monitor
oneDNN
oneDNN:
  CPU Temp Monitor
  CPU Power Consumption Monitor
oneDNN
DaCapo Benchmark:
  CPU Temp Monitor
  CPU Power Consumption Monitor
DaCapo Benchmark
DaCapo Benchmark:
  CPU Temp Monitor
  CPU Power Consumption Monitor
DaCapo Benchmark