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 TimeNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A5471421283525.5128.7429.831. (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 TimeNH-D9 TR5-SP6 4UDynatron A54Noctua NH-U14S TR5-SP6306090120150142.22157.33157.701. (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 LatencyNH-D9 TR5-SP6 4UDynatron A54Noctua NH-U14S TR5-SP6510152025SE +/- 0.05, N = 3SE +/- 0.18, N = 3SE +/- 0.23, N = 316.8617.2418.481. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read WriteNH-D9 TR5-SP6 4UDynatron A54Noctua NH-U14S TR5-SP613K26K39K52K65KSE +/- 173.21, N = 3SE +/- 627.52, N = 3SE +/- 673.20, N = 35931558014541391. (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: 64MBNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A543K6K9K12K15KSE +/- 16.58, N = 3SE +/- 7.60, N = 3SE +/- 19.22, N = 313202.113190.012050.11. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz shuffle - Buffer Size: 128MBNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A542K4K6K8K10KSE +/- 12.99, N = 3SE +/- 0.67, N = 3SE +/- 12.34, N = 39755.09737.58925.61. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz shuffle - Buffer Size: 32MBNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A543K6K9K12K15KSE +/- 3.37, N = 3SE +/- 18.39, N = 3SE +/- 5.28, N = 315555.115492.014333.31. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz shuffle - Buffer Size: 8MBNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A543K6K9K12K15KSE +/- 7.57, N = 3SE +/- 29.31, N = 3SE +/- 12.43, N = 316126.016080.914908.11. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz shuffle - Buffer Size: 256MBNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A5414002800420056007000SE +/- 2.27, N = 3SE +/- 2.55, N = 3SE +/- 29.07, N = 36490.86481.66001.51. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz shuffle - Buffer Size: 16MBNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A543K6K9K12K15KSE +/- 6.00, N = 3SE +/- 16.90, N = 3SE +/- 5.40, N = 315989.615912.814860.51. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz bitshuffle - Buffer Size: 256MBNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A5414002800420056007000SE +/- 22.27, N = 3SE +/- 14.42, N = 3SE +/- 22.32, N = 36352.96294.25919.91. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz noshuffle - Buffer Size: 128MBNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A542K4K6K8K10KSE +/- 11.56, N = 3SE +/- 7.45, N = 3SE +/- 4.99, N = 38907.98865.18347.21. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz bitshuffle - Buffer Size: 64MBNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A543K6K9K12K15KSE +/- 10.69, N = 3SE +/- 5.89, N = 3SE +/- 2.42, N = 312663.612587.311878.51. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz bitshuffle - Buffer Size: 128MBNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A542K4K6K8K10KSE +/- 12.64, N = 3SE +/- 11.45, N = 3SE +/- 8.06, N = 39638.09624.49041.51. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz noshuffle - Buffer Size: 256MBNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A5413002600390052006500SE +/- 2.72, N = 3SE +/- 3.64, N = 3SE +/- 2.90, N = 36055.76041.55691.21. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz noshuffle - Buffer Size: 16MBNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A543K6K9K12K15KSE +/- 53.87, N = 3SE +/- 32.67, N = 3SE +/- 12.29, N = 314003.813911.113207.21. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz noshuffle - Buffer Size: 32MBNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A543K6K9K12K15KSE +/- 28.63, N = 3SE +/- 15.17, N = 3SE +/- 36.10, N = 313397.113354.512666.51. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz noshuffle - Buffer Size: 64MBNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A542K4K6K8K10KSE +/- 19.66, N = 3SE +/- 27.62, N = 3SE +/- 22.73, N = 311496.211486.910874.01. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz bitshuffle - Buffer Size: 8MBNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A544K8K12K16K20KSE +/- 16.10, N = 3SE +/- 16.14, N = 3SE +/- 12.66, N = 316458.316452.115572.01. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz bitshuffle - Buffer Size: 32MBNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A543K6K9K12K15KSE +/- 11.58, N = 3SE +/- 27.46, N = 3SE +/- 11.14, N = 315080.915024.514307.01. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz noshuffle - Buffer Size: 8MBNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A543K6K9K12K15KSE +/- 16.71, N = 3SE +/- 26.20, N = 3SE +/- 16.66, N = 314075.713984.913413.61. (CC) gcc options: -std=gnu99 -O3 -ldl -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.11Test: blosclz bitshuffle - Buffer Size: 16MBNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A543K6K9K12K15KSE +/- 28.42, N = 3SE +/- 23.64, N = 3SE +/- 26.60, N = 315886.215881.815140.71. (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: 128NH-D9 TR5-SP6 4UDynatron A54Noctua NH-U14S TR5-SP613K26K39K52K65KSE +/- 143.55, N = 3SE +/- 40.44, N = 3SE +/- 8.69, N = 2585855756055940

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: 400NH-D9 TR5-SP6 4UDynatron A54Noctua NH-U14S TR5-SP660120180240300SE +/- 3.41, N = 3SE +/- 2.90, N = 3SE +/- 3.10, N = 3254.49256.80265.57MAX: 26906.76MAX: 26991.92MAX: 27237.61

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

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: 400NH-D9 TR5-SP6 4UDynatron A54Noctua NH-U14S TR5-SP620M40M60M80M100MSE +/- 896265.80, N = 3SE +/- 839333.42, N = 3SE +/- 1061890.13, N = 3116156551115899869111831020

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: CPUNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A541020304050SE +/- 0.21, N = 3SE +/- 0.21, N = 3SE +/- 0.68, N = 1242.5142.8144.00MIN: 27.83 / MAX: 54.18MIN: 27.82 / MAX: 63.4MIN: 27.32 / MAX: 75.71. (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: CPUNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A5430060090012001500SE +/- 7.46, N = 3SE +/- 7.09, N = 3SE +/- 19.56, N = 121504.571493.831456.811. (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: TradebeansNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A542K4K6K8K10KSE +/- 102.15, N = 4SE +/- 103.48, N = 3SE +/- 96.66, N = 15876288649034

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: H2 Database EngineNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A546001200180024003000SE +/- 19.86, N = 3SE +/- 16.56, N = 3SE +/- 8.25, N = 3255025962619

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_MSDNH-D9 TR5-SP6 4UDynatron A54Noctua NH-U14S TR5-SP620406080100SE +/- 0.13, N = 3SE +/- 0.44, N = 3SE +/- 1.09, N = 379.9481.5181.991. (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-OnlyNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A54714212835SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.16, N = 327.7427.8228.44

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 A54Noctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4U0.0840.1680.2520.3360.42SE +/- 0.002898, N = 3SE +/- 0.005219, N = 3SE +/- 0.002099, N = 30.3642650.3684870.373124MIN: 0.33MIN: 0.33MIN: 0.331. (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: CPUNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A54918273645SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 336.9237.0237.75MIN: 22.21 / MAX: 59.67MIN: 22.21 / MAX: 59.58MIN: 24.92 / MAX: 64.271. (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: CPUNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A54400800120016002000SE +/- 5.31, N = 3SE +/- 2.37, N = 3SE +/- 2.25, N = 31731.901727.361693.901. (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: CPUNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A540.12050.2410.36150.4820.6025SE +/- 0.000722, N = 5SE +/- 0.001085, N = 5SE +/- 0.002350, N = 50.5238780.5240590.535626MIN: 0.46MIN: 0.46MIN: 0.471. (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: CPUNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A543691215SE +/- 0.00, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 39.539.599.73MIN: 4.8 / MAX: 33.9MIN: 4.52 / MAX: 27.12MIN: 4.59 / MAX: 26.791. (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: CPUNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A540.11030.22060.33090.44120.5515SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.480.480.49MIN: 0.26 / MAX: 32.61MIN: 0.26 / MAX: 19.92MIN: 0.26 / MAX: 25.771. (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: CPUNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A547001400210028003500SE +/- 1.55, N = 3SE +/- 24.03, N = 3SE +/- 12.47, N = 33347.283326.953279.511. (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: GraphChiNoctua NH-U14S TR5-SP6Dynatron A54NH-D9 TR5-SP6 4U7001400210028003500SE +/- 24.53, N = 15SE +/- 28.51, N = 15SE +/- 15.95, N = 3337934333443

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

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: CPUNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A54120240360480600SE +/- 2.44, N = 3SE +/- 1.42, N = 3SE +/- 3.29, N = 3547.62548.02557.87MIN: 538.81MIN: 539.44MIN: 545.561. (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: CPUNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A54306090120150SE +/- 0.94, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 3150.81151.70153.60MIN: 53.46 / MAX: 212.6MIN: 55.39 / MAX: 212.78MIN: 63.54 / MAX: 2141. (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 KafkaNoctua NH-U14S TR5-SP6Dynatron A54NH-D9 TR5-SP6 4U11002200330044005500SE +/- 1.33, N = 3SE +/- 4.63, N = 3SE +/- 2.00, N = 3510852005202

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: CPUNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A5450100150200250SE +/- 1.36, N = 3SE +/- 0.79, N = 3SE +/- 0.42, N = 3211.98210.72208.151. (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

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 CompileNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A5450100150200250SE +/- 2.32, N = 5SE +/- 2.46, N = 3SE +/- 0.72, N = 3211.14212.96214.83

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_bmNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A543691215SE +/- 0.07, N = 4SE +/- 0.08, N = 4SE +/- 0.12, N = 412.6512.7712.871. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

Blender

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Pabellon Barcelona - Compute: CPU-OnlyNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A541530456075SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 366.7267.0067.87

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: CPUNoctua NH-U14S TR5-SP6Dynatron A54NH-D9 TR5-SP6 4U0.30350.6070.91051.2141.5175SE +/- 0.00909, N = 3SE +/- 0.00861, N = 3SE +/- 0.00892, N = 31.326451.348011.34910MIN: 1.24MIN: 1.25MIN: 1.251. (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: CPUNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A541.23082.46163.69244.92326.154SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 35.385.395.47MIN: 3.18 / MAX: 16.36MIN: 3.19 / MAX: 19.08MIN: 3.23 / MAX: 28.681. (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: CPUNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A543K6K9K12K15KSE +/- 13.35, N = 3SE +/- 9.54, N = 3SE +/- 11.83, N = 311851.0211830.6011656.711. (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: CPUNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A542K4K6K8K10KSE +/- 10.57, N = 3SE +/- 12.62, N = 3SE +/- 9.37, N = 38174.448169.008043.881. (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: CPUNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A547K14K21K28K35KSE +/- 287.98, N = 3SE +/- 289.97, N = 3SE +/- 146.71, N = 3328913312433410

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: CPUNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A540.8911.7822.6733.5644.455SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 33.903.903.96MIN: 2.2 / MAX: 29.97MIN: 2.2 / MAX: 22.15MIN: 2.22 / MAX: 28.641. (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: CPUNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A540.14850.2970.44550.5940.7425SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.650.650.66MIN: 0.34 / MAX: 20.26MIN: 0.34 / MAX: 20.93MIN: 0.34 / MAX: 23.671. (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-ThreadedNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A5450K100K150K200K250KSE +/- 188.26, N = 3SE +/- 116.53, N = 3SE +/- 472.20, N = 3219225.4218763.0215906.71. (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

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: CPUNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A548001600240032004000SE +/- 1.00, N = 3SE +/- 1.77, N = 3SE +/- 1.78, N = 33545.103539.283492.711. (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: CPUNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A54510152025SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 318.0318.0518.30MIN: 9.7 / MAX: 29.11MIN: 9.42 / MAX: 37.14MIN: 9.51 / MAX: 69.81. (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 A54Noctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4U90180270360450SE +/- 4.30, N = 15SE +/- 5.23, N = 15SE +/- 5.03, N = 15405405411

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

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: CPUNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A5430060090012001500SE +/- 3.64, N = 3SE +/- 6.52, N = 3SE +/- 3.32, N = 31182.291179.511165.381. (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: CPUNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A54612182430SE +/- 0.08, N = 3SE +/- 0.15, N = 3SE +/- 0.08, N = 327.0327.0927.41MIN: 13.91 / MAX: 47.64MIN: 18.57 / MAX: 45.49MIN: 13.94 / MAX: 51.141. (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: CPUNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A54816243240SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 334.7534.6834.271. (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

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 WritingNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A542M4M6M8M10MSE +/- 23377.20, N = 3SE +/- 49439.53, N = 3SE +/- 49692.28, N = 38017048796199379067371. (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: CrownNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A541632486480SE +/- 0.13, N = 5SE +/- 0.10, N = 5SE +/- 0.11, N = 572.4572.2871.45MIN: 71.25 / MAX: 74.25MIN: 71.09 / MAX: 74.2MIN: 70.33 / MAX: 73.11

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: CPUNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A542004006008001000SE +/- 1.04, N = 3SE +/- 0.28, N = 3SE +/- 0.57, N = 3916.14916.80928.84MIN: 880.57 / MAX: 968.04MIN: 865.44 / MAX: 971.95MIN: 885.23 / MAX: 978.931. (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 XSLTNH-D9 TR5-SP6 4UDynatron A54Noctua NH-U14S TR5-SP62004006008001000SE +/- 5.03, N = 8SE +/- 6.67, N = 8SE +/- 6.26, N = 8955956968

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: CPUNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A541326395265SE +/- 0.33, N = 3SE +/- 0.53, N = 3SE +/- 0.61, N = 356.8856.9757.65MIN: 17.04 / MAX: 77.08MIN: 18.25 / MAX: 87.32MIN: 17.43 / MAX: 102.461. (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: CPUNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A54120240360480600SE +/- 3.31, N = 3SE +/- 5.22, N = 3SE +/- 5.87, N = 3561.88561.08554.441. (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: scryptNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A542004006008001000SE +/- 0.27, N = 3SE +/- 3.96, N = 3SE +/- 0.83, N = 3813.35808.84802.591. (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: allmodconfigNH-D9 TR5-SP6 4UDynatron A54Noctua NH-U14S TR5-SP660120180240300SE +/- 0.65, N = 3SE +/- 0.53, N = 3SE +/- 0.58, N = 3282.21285.69285.96

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: TradesoapNH-D9 TR5-SP6 4UDynatron A54Noctua NH-U14S TR5-SP612002400360048006000SE +/- 43.72, N = 15SE +/- 53.41, N = 3SE +/- 41.30, N = 11562556685695

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 RandomNoctua NH-U14S TR5-SP6Dynatron A54NH-D9 TR5-SP6 4U100K200K300K400K500KSE +/- 375.32, N = 3SE +/- 462.43, N = 3SE +/- 102.40, N = 34858374841314800211. (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, PyriteNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A5430K60K90K120K150KSE +/- 1883.77, N = 3SE +/- 1498.36, N = 3SE +/- 55.48, N = 31554531547431535971. (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: CPUNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A5480160240320400SE +/- 0.49, N = 3SE +/- 0.78, N = 3SE +/- 0.50, N = 3372.30372.22368.011. (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: CPUNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A5420406080100SE +/- 0.11, N = 3SE +/- 0.18, N = 3SE +/- 0.11, N = 385.8485.8586.83MIN: 42.72 / MAX: 128.74MIN: 41.81 / MAX: 127.31MIN: 46.22 / MAX: 127.411. (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 ToolkitNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A54400800120016002000SE +/- 3.87, N = 6SE +/- 13.40, N = 6SE +/- 12.32, N = 6168216981701

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: 1200NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A54918273645SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 339.0439.0439.461. (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: CPUNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A5416K32K48K64K80KSE +/- 95.58, N = 3SE +/- 97.06, N = 3SE +/- 106.60, N = 374980.3774918.3874181.751. (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 A54Noctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4U5001000150020002500SE +/- 13.69, N = 4SE +/- 15.68, N = 15SE +/- 11.80, N = 4238723992412

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: CPUNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A54306090120150SE +/- 0.20, N = 3SE +/- 0.57, N = 3SE +/- 0.23, N = 3151.87152.49153.43MIN: 71.37 / MAX: 219.37MIN: 56.06 / MAX: 213.04MIN: 54.07 / MAX: 216.131. (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: CPUNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A5450100150200250SE +/- 0.27, N = 3SE +/- 0.78, N = 3SE +/- 0.33, N = 3210.50209.64208.361. (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: NinjaNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A544080120160200SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3166.19167.46167.82

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 TimeNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A54150300450600750673.28677.59679.551. (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: CPUNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A543691215SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 39.799.839.88MIN: 5.6 / MAX: 23.25MIN: 5.83 / MAX: 27.83MIN: 5.9 / MAX: 36.141. (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-OnlyNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A541224364860SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.00, N = 353.6753.7554.16

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: CPUNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A54400800120016002000SE +/- 1.73, N = 3SE +/- 2.19, N = 3SE +/- 2.73, N = 3164316501658

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A547K14K21K28K35KSE +/- 249.34, N = 3SE +/- 50.53, N = 3SE +/- 85.70, N = 3328173309433111

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: CPUNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A5420K40K60K80K100KSE +/- 82.69, N = 3SE +/- 253.03, N = 3SE +/- 123.77, N = 394926.1994607.9894089.011. (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-OnlyNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A54510152025SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 321.5921.6221.78

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: CPUNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A540.39120.78241.17361.56481.956SE +/- 0.00654, N = 5SE +/- 0.00436, N = 5SE +/- 0.00533, N = 51.723501.738421.73846MIN: 1.57MIN: 1.59MIN: 1.581. (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

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 CompileNH-D9 TR5-SP6 4UDynatron A54Noctua NH-U14S TR5-SP6306090120150SE +/- 0.51, N = 3SE +/- 0.14, N = 3SE +/- 0.26, N = 3129.86130.80130.97

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: CPUNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A547001400210028003500SE +/- 16.81, N = 3SE +/- 3.44, N = 3SE +/- 3.50, N = 33258.823247.593231.741. (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: CPUNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A543K6K9K12K15KSE +/- 15.06, N = 3SE +/- 16.33, N = 3SE +/- 10.69, N = 3133061332213417

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: CPUNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A540.17370.34740.52110.69480.8685SE +/- 0.000942, N = 9SE +/- 0.001168, N = 9SE +/- 0.001650, N = 90.7657330.7676550.772038MIN: 0.76MIN: 0.76MIN: 0.761. (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 FormatterNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A54160320480640800SE +/- 1.77, N = 8SE +/- 2.62, N = 8SE +/- 3.59, N = 8733737739

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 SecondNH-D9 TR5-SP6 4UDynatron A54Noctua NH-U14S TR5-SP6600K1200K1800K2400K3000KSE +/- 1080.25, N = 3SE +/- 7834.55, N = 3SE +/- 26379.27, N = 52615136.672609983.942594063.011. (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: CPUNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A5414002800420056007000SE +/- 10.90, N = 3SE +/- 0.58, N = 3SE +/- 6.66, N = 3664866556699

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 TomcatNoctua NH-U14S TR5-SP6Dynatron A54NH-D9 TR5-SP6 4U30060090012001500SE +/- 12.23, N = 5SE +/- 10.85, N = 5SE +/- 5.49, N = 5158315951595

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 A54Noctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4U6001200180024003000SE +/- 1.50, N = 3SE +/- 13.41, N = 3SE +/- 15.21, N = 32626.42610.02606.81. (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 IndexNH-D9 TR5-SP6 4UDynatron A54Noctua NH-U14S TR5-SP610002000300040005000SE +/- 9.82, N = 3SE +/- 3.51, N = 3SE +/- 9.96, N = 3446444864497

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: CPUNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A5490180270360450SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3416416419

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A5415K30K45K60K75KSE +/- 84.69, N = 3SE +/- 9.24, N = 3SE +/- 74.81, N = 3693256949969819

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

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_gmsNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A54306090120150SE +/- 0.32, N = 3SE +/- 0.27, N = 3SE +/- 0.49, N = 3116.57116.96117.391. (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: CPUNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A542K4K6K8K10KSE +/- 12.99, N = 3SE +/- 8.39, N = 3SE +/- 10.20, N = 3792479417979

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 MakefilesNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A5460120180240300SE +/- 1.07, N = 3SE +/- 0.42, N = 3SE +/- 0.10, N = 3258.54259.80260.33

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

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: CPUNoctua NH-U14S TR5-SP6Dynatron A54NH-D9 TR5-SP6 4U0.25790.51580.77371.03161.2895SE +/- 0.00083, N = 7SE +/- 0.00377, N = 6SE +/- 0.00376, N = 71.139051.139791.14632MIN: 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: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUNoctua NH-U14S TR5-SP6Dynatron A54NH-D9 TR5-SP6 4U2004006008001000SE +/- 2.64, N = 3SE +/- 2.26, N = 3SE +/- 0.59, N = 3807.19807.50812.24MIN: 797.49MIN: 797.78MIN: 804.371. (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: CPUNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A54400800120016002000SE +/- 1.76, N = 3SE +/- 0.58, N = 3SE +/- 2.08, N = 3196019601972

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A543K6K9K12K15KSE +/- 7.84, N = 3SE +/- 10.59, N = 3SE +/- 1.76, N = 3134981354313580

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A54110220330440550SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 3495496498

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 RatingNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A5480K160K240K320K400KSE +/- 120.89, N = 3SE +/- 157.10, N = 3SE +/- 224.34, N = 33636993633593615301. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer - Model: Asian DragonNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A5420406080100SE +/- 0.04, N = 5SE +/- 0.03, N = 5SE +/- 0.10, N = 580.0179.7079.55MIN: 79.34 / MAX: 80.87MIN: 79.03 / MAX: 80.61MIN: 78.61 / MAX: 80.51

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: SkeincoinNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A5420K40K60K80K100KSE +/- 370.72, N = 3SE +/- 151.00, N = 3SE +/- 20.82, N = 38918088910886801. (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

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_aeNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A54306090120150SE +/- 0.18, N = 3SE +/- 0.27, N = 3SE +/- 0.61, N = 3113.38113.96113.981. (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 CompileNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A54306090120150SE +/- 0.15, N = 3SE +/- 0.12, N = 3SE +/- 0.04, N = 3156.99157.00157.78

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: CPUNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A5415003000450060007500SE +/- 9.07, N = 3SE +/- 8.37, N = 3SE +/- 3.06, N = 3676067646793

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: 240NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A540.42260.84521.26781.69042.113SE +/- 0.003, N = 9SE +/- 0.005, N = 9SE +/- 0.011, N = 91.8691.8691.8781. (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: CPUNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A5490180270360450SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3423423425

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: CPUNoctua NH-U14S TR5-SP6Dynatron A54NH-D9 TR5-SP6 4U2004006008001000SE +/- 2.76, N = 3SE +/- 0.30, N = 3SE +/- 2.70, N = 3807.34808.78811.01MIN: 795.77MIN: 800.97MIN: 800.641. (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: defconfigNH-D9 TR5-SP6 4UDynatron A54Noctua NH-U14S TR5-SP6918273645SE +/- 0.41, N = 5SE +/- 0.42, N = 5SE +/- 0.49, N = 440.3840.3940.56

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: CPUNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A540.0780.1560.2340.3120.39SE +/- 0.000642, N = 9SE +/- 0.000430, N = 9SE +/- 0.000899, N = 90.3452760.3465410.346782MIN: 0.34MIN: 0.34MIN: 0.341. (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: CrownNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A541632486480SE +/- 0.14, N = 5SE +/- 0.16, N = 5SE +/- 0.07, N = 574.1574.1173.84MIN: 72.69 / MAX: 75.98MIN: 72.48 / MAX: 76.13MIN: 72.65 / MAX: 75.71

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: CPUNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A543K6K9K12K15KSE +/- 29.28, N = 3SE +/- 29.82, N = 3SE +/- 18.50, N = 3158961591015960

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

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-H2ONH-D9 TR5-SP6 4UDynatron A54Noctua NH-U14S TR5-SP6714212835SE +/- 0.14, N = 3SE +/- 0.18, N = 3SE +/- 0.12, N = 330.4330.4830.541. (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 A54Noctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4U15003000450060007500SE +/- 9.85, N = 3SE +/- 10.41, N = 3SE +/- 10.15, N = 3687768816903

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: CPUNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A54400800120016002000SE +/- 1.86, N = 3SE +/- 0.88, N = 3SE +/- 3.06, N = 3167316731679

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 RatingNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A5490K180K270K360K450KSE +/- 126.01, N = 3SE +/- 352.41, N = 3SE +/- 497.61, N = 34309364299214294051. (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 ISPCNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A5430060090012001500SE +/- 0.67, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3142214201417MIN: 114 / MAX: 17494MIN: 113 / MAX: 17461MIN: 114 / MAX: 17373

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_shortNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A541326395265SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 357.1657.1857.361. (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: DeepcoinNoctua NH-U14S TR5-SP6Dynatron A54NH-D9 TR5-SP6 4U5K10K15K20K25KSE +/- 48.42, N = 3SE +/- 35.28, N = 3SE +/- 5.77, N = 32144321413213701. (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 OnlyNH-D9 TR5-SP6 4UDynatron A54Noctua NH-U14S TR5-SP6700K1400K2100K2800K3500KSE +/- 20993.48, N = 3SE +/- 21879.14, N = 3SE +/- 22492.45, N = 33114015310375331035851. (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: CPUNH-D9 TR5-SP6 4UDynatron A54Noctua NH-U14S TR5-SP630060090012001500SE +/- 10.16, N = 3SE +/- 15.06, N = 3SE +/- 3.73, N = 31309.721307.771305.341. (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: CPUNH-D9 TR5-SP6 4UDynatron A54Noctua NH-U14S TR5-SP6612182430SE +/- 0.19, N = 3SE +/- 0.28, N = 3SE +/- 0.07, N = 324.3724.4124.45MIN: 9.52 / MAX: 57.66MIN: 9.88 / MAX: 54.94MIN: 8.96 / MAX: 51.371. (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: CPUNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A542004006008001000SE +/- 2.78, N = 3SE +/- 1.70, N = 3SE +/- 1.62, N = 3805.40807.40807.92MIN: 796.45MIN: 799.36MIN: 798.541. (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 LatencyNH-D9 TR5-SP6 4UDynatron A54Noctua NH-U14S TR5-SP60.07250.1450.21750.290.3625SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.003, N = 30.3210.3220.3221. (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: 2400NH-D9 TR5-SP6 4UDynatron A54Noctua NH-U14S TR5-SP620406080100SE +/- 0.22, N = 3SE +/- 0.24, N = 3SE +/- 0.07, N = 3110.93111.28111.281. (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: 128Noctua NH-U14S TR5-SP6Dynatron A54NH-D9 TR5-SP6 4U30K60K90K120K150KSE +/- 388.36, N = 3SE +/- 187.31, N = 3SE +/- 46.36, N = 2132132131834131735

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_bm16NH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A54110220330440550SE +/- 0.38, N = 3SE +/- 0.87, N = 3SE +/- 0.63, N = 3494.92495.43496.401. (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_UHFNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A544080120160200SE +/- 1.04, N = 3SE +/- 0.74, N = 3SE +/- 0.22, N = 3202.11202.36202.701. (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

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: 400NH-D9 TR5-SP6 4UDynatron A54Noctua NH-U14S TR5-SP64080120160200SE +/- 3.27, N = 3SE +/- 1.60, N = 3SE +/- 1.25, N = 3179.17179.25179.67MAX: 27068.91MAX: 27281.2MAX: 26880.71

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

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 A54Noctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4U246810SE +/- 0.01034, N = 3SE +/- 0.00704, N = 3SE +/- 0.03103, N = 38.604548.621028.62775MIN: 7.95MIN: 8.01MIN: 81. (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: CPUNoctua NH-U14S TR5-SP6Dynatron A54NH-D9 TR5-SP6 4U120240360480600SE +/- 1.16, N = 3SE +/- 0.86, N = 3SE +/- 3.84, N = 3550.81551.39552.19MIN: 543.57MIN: 543.64MIN: 541.871. (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: CPUNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A5413K26K39K52K65KSE +/- 63.01, N = 3SE +/- 105.01, N = 3SE +/- 196.68, N = 3601836031460330

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A548K16K24K32K40KSE +/- 84.89, N = 3SE +/- 23.25, N = 3SE +/- 68.64, N = 3380083808138094

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 ReadNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A5480M160M240M320M400MSE +/- 78230.55, N = 3SE +/- 286715.49, N = 3SE +/- 805455.00, N = 33654989443653831713646939161. (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: CPUNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A54120240360480600SE +/- 3.03, N = 3SE +/- 3.04, N = 3SE +/- 2.21, N = 3550.53550.94551.68MIN: 539.43MIN: 540.62MIN: 542.541. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Blender

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.6Blend File: Barbershop - Compute: CPU-OnlyNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A544080120160200SE +/- 0.16, N = 3SE +/- 0.24, N = 3SE +/- 0.15, N = 3202.64202.93203.02

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: CPUNH-D9 TR5-SP6 4UDynatron A54Noctua NH-U14S TR5-SP60.10410.20820.31230.41640.5205SE +/- 0.001085, N = 7SE +/- 0.001306, N = 7SE +/- 0.000671, N = 70.4616720.4619780.462504MIN: 0.44MIN: 0.44MIN: 0.441. (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 A54Noctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4U1632486480SE +/- 0.07, N = 3SE +/- 0.41, N = 3SE +/- 0.20, N = 370.9470.9270.82MIN: 70.26 / MAX: 71.81MIN: 69.53 / MAX: 72.34MIN: 70.01 / MAX: 71.92

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 ScalarNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A54130260390520650SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3591591590MIN: 42 / MAX: 10115MIN: 42 / MAX: 10116MIN: 42 / MAX: 10106

Embree

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonNH-D9 TR5-SP6 4UDynatron A54Noctua NH-U14S TR5-SP620406080100SE +/- 0.05, N = 5SE +/- 0.11, N = 5SE +/- 0.13, N = 586.8386.8286.69MIN: 86.04 / MAX: 88.04MIN: 85.87 / MAX: 88.44MIN: 85.69 / MAX: 88.22

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: CPUNoctua NH-U14S TR5-SP6Dynatron A54NH-D9 TR5-SP6 4U13K26K39K52K65KSE +/- 75.76, N = 3SE +/- 63.86, N = 3SE +/- 118.55, N = 3595305959659620

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 A54Noctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4U3K6K9K12K15KSE +/- 20.82, N = 3SE +/- 27.28, N = 3SE +/- 31.80, N = 31253012513125131. (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: CPUNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A5415003000450060007500SE +/- 12.82, N = 3SE +/- 12.85, N = 3SE +/- 2.08, N = 36879.036874.046870.141. (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, OnecoinNoctua NH-U14S TR5-SP6Dynatron A54NH-D9 TR5-SP6 4U60K120K180K240K300KSE +/- 126.62, N = 3SE +/- 239.75, N = 3SE +/- 90.74, N = 32692802692732689701. (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: IMDBNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A54306090120150SE +/- 0.07, N = 3SE +/- 0.16, N = 3SE +/- 0.07, N = 3123.24123.32123.371. (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: CPUNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A543691215SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 39.299.299.30MIN: 4.97 / MAX: 20.13MIN: 5.01 / MAX: 25.36MIN: 4.94 / MAX: 41.531. (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: MagiNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A5430060090012001500SE +/- 3.52, N = 3SE +/- 1.67, N = 3SE +/- 0.71, N = 31609.091607.941607.541. (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: CPUNoctua NH-U14S TR5-SP6Dynatron A54NH-D9 TR5-SP6 4U1530456075SE +/- 0.02, N = 3SE +/- 0.11, N = 3SE +/- 0.04, N = 367.0667.0567.001. (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: jMonkeyEngineNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A5415003000450060007500SE +/- 1.76, N = 3SE +/- 3.00, N = 3SE +/- 1.67, N = 3690569066910

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: CPUNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A540.29780.59560.89341.19121.489SE +/- 0.00099, N = 9SE +/- 0.00098, N = 9SE +/- 0.00125, N = 91.323151.323201.32373MIN: 1.31MIN: 1.31MIN: 1.311. (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 SNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A5480K160K240K320K400KSE +/- 140.00, N = 3SE +/- 3.33, N = 3SE +/- 23.33, N = 33641903640773640531. (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: CPUNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A54100200300400500SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.70, N = 3475.35475.51475.52MIN: 436.16 / MAX: 492.52MIN: 246.55 / MAX: 497.4MIN: 425.59 / MAX: 494.411. (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-OnlyNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A540.22730.45460.68190.90921.1365SE +/- 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: RT.ldr_alb_nrm.3840x2160 - Device: CPU-OnlyNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A540.47930.95861.43791.91722.3965SE +/- 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.hdr_alb_nrm.3840x2160 - Device: CPU-OnlyNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A540.4770.9541.4311.9082.385SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.00, N = 42.122.122.12

CPU Temperature Monitor

OpenBenchmarking.orgCelsiusCPU Temperature MonitorPhoronix Test Suite System MonitoringNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A5420406080100Min: 25.5 / Avg: 41.58 / Max: 63.13Min: 25 / Avg: 42.69 / Max: 64.75Min: 30 / Avg: 63.81 / Max: 87.88

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A544080120160200Min: 6.16 / Avg: 119.77 / Max: 230.54Min: 6.05 / Avg: 121.3 / Max: 230.54Min: 6.93 / Avg: 126.41 / Max: 230.52

TiDB Community Server

OpenBenchmarking.orgCelsius, Fewer Is BetterTiDB Community Server 7.3CPU Temperature MonitorNoctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4UDynatron A541530456075Min: 30.38 / Avg: 35.79 / Max: 45.13Min: 31.88 / Avg: 37.68 / Max: 48.75Min: 43.88 / Avg: 58.81 / Max: 79.63

OpenBenchmarking.orgWatts, Fewer Is BetterTiDB Community Server 7.3CPU Power Consumption MonitorNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A54306090120150Min: 12.54 / Avg: 97.56 / Max: 165.55Min: 12.49 / Avg: 99.85 / Max: 163.87Min: 14.01 / Avg: 104.59 / Max: 173.1

OpenBenchmarking.orgQueries Per Second, More Is BetterTiDB Community Server 7.3Test: oltp_read_write - Threads: 128Dynatron A54Noctua NH-U14S TR5-SP6NH-D9 TR5-SP6 4U20K40K60K80K100KSE +/- 88.74, N = 3SE +/- 80.07, N = 3SE +/- 4551.87, N = 9926519259888106

QMCPACK

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

MinAvgMaxNH-D9 TR5-SP6 4U12.6156.0210.7Noctua NH-U14S TR5-SP611.6156.0209.6Dynatron A5413.9162.2222.8OpenBenchmarking.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

oneDNN

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

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPUNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A540.26020.52040.78061.04081.301SE +/- 0.026240, N = 15SE +/- 0.022930, N = 15SE +/- 0.020821, N = 121.1201351.1324691.156302MIN: 0.92MIN: 0.93MIN: 0.921. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

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

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPUNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A54246810SE +/- 0.56116, N = 15SE +/- 0.50620, N = 15SE +/- 0.51948, N = 156.708846.984667.66713MIN: 2.2MIN: 2.06MIN: 1.991. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

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

MinAvgMaxNoctua NH-U14S TR5-SP611.174.9126.1NH-D9 TR5-SP6 4U10.975.6121.7Dynatron A5411.979.3151.6OpenBenchmarking.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

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

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A540.56461.12921.69382.25842.823SE +/- 0.07713, N = 15SE +/- 0.06453, N = 12SE +/- 0.05467, N = 152.380052.484572.50929MIN: 1.56MIN: 1.58MIN: 1.611. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

DaCapo Benchmark

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

MinAvgMaxNH-D9 TR5-SP6 4U12.358.480.0Noctua NH-U14S TR5-SP611.759.082.9Dynatron A5411.959.882.5OpenBenchmarking.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 LearningNH-D9 TR5-SP6 4UDynatron A54Noctua NH-U14S TR5-SP610002000300040005000SE +/- 37.26, N = 3SE +/- 28.54, N = 3SE +/- 266.33, N = 15399840014448

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

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

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: PMD Source Code AnalyzerNH-D9 TR5-SP6 4UNoctua NH-U14S TR5-SP6Dynatron A54400800120016002000SE +/- 25.71, N = 12SE +/- 28.43, N = 15SE +/- 29.96, N = 15181718241825

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