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 Dynatron A54 Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,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 -vProcessor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xaa00212Java Notes: OpenJDK Runtime Environment (build 11.0.20+8-post-Ubuntu-1ubuntu1)Python Notes: Python 3.11.5Security Notes: 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
NH-D9 TR5-SP6 4U Noctua NH-U14S TR5-SP6 Processor: AMD EPYC 8534P 64-Core @ 2.30GHz (64 Cores / 128 Threads), Motherboard: AMD Cinnabar (RCB1009C BIOS), Chipset: AMD Device 14a4, Memory: 192GB, Disk: 800GB Micron_7450_MTFDKBA800TFS, Graphics: ASPEED, Network: 2 x Broadcom NetXtreme BCM5720 PCIe
OS: Ubuntu 23.10, Kernel: 6.5.0-5-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 640x480
Noctua SP6 Heatsinks AMD EPYC Siena Benchmarks OpenBenchmarking.org Phoronix Test Suite AMD EPYC 8534P 64-Core @ 2.30GHz (64 Cores / 128 Threads) AMD Cinnabar (RCB1009C BIOS) AMD Device 14a4 192GB 800GB Micron_7450_MTFDKBA800TFS ASPEED 2 x Broadcom NetXtreme BCM5720 PCIe Ubuntu 23.10 6.5.0-5-generic (x86_64) GNOME Shell 45.0 X Server 1.21.1.7 GCC 13.2.0 ext4 640x480 Processor Motherboard Chipset Memory Disk Graphics Network OS Kernel Desktop Display Server Compiler File-System Screen Resolution Noctua SP6 Heatsinks AMD EPYC Siena Benchmarks Performance System 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 A54 NH-D9 TR5-SP6 4U Noctua NH-U14S TR5-SP6 Result Overview Phoronix Test Suite 100% 102% 103% 105% 107% C-Blosc PostgreSQL OpenFOAM Apache IoTDB Timed Gem5 Compilation TiDB Community Server OpenVINO Blender Timed Linux Kernel Compilation Coremark QMCPACK CloverLeaf Timed Godot Game Engine Compilation oneDNN Timed LLVM Compilation easyWave Timed Node.js Compilation QuantLib 7-Zip Compression DuckDB OpenVKL Embree Cpuminer-Opt RocksDB DaCapo Benchmark OSPRay Studio Intel Open Image Denoise
Noctua SP6 Heatsinks AMD EPYC Siena Benchmarks openfoam: drivaerFastback, Small Mesh Size - Mesh Time openfoam: drivaerFastback, Medium Mesh Size - Mesh Time pgbench: 100 - 1000 - Read Write - Average Latency pgbench: 100 - 1000 - Read Write blosc: blosclz shuffle - 64MB blosc: blosclz shuffle - 128MB blosc: blosclz shuffle - 32MB blosc: blosclz shuffle - 8MB blosc: blosclz shuffle - 256MB blosc: blosclz shuffle - 16MB blosc: blosclz bitshuffle - 256MB blosc: blosclz noshuffle - 128MB blosc: blosclz bitshuffle - 64MB blosc: blosclz bitshuffle - 128MB blosc: blosclz noshuffle - 256MB blosc: blosclz noshuffle - 16MB blosc: blosclz noshuffle - 32MB blosc: blosclz noshuffle - 64MB blosc: blosclz bitshuffle - 8MB blosc: blosclz bitshuffle - 32MB blosc: blosclz noshuffle - 8MB blosc: blosclz bitshuffle - 16MB tidb: oltp_update_non_index - 128 apache-iotdb: 800 - 100 - 800 - 400 tidb: oltp_update_index - 128 apache-iotdb: 800 - 100 - 800 - 400 openvino: Handwritten English Recognition FP16-INT8 - CPU openvino: Handwritten English Recognition FP16-INT8 - CPU dacapobench: Tradebeans dacapobench: Apache Lucene Search Engine dacapobench: H2 Database Engine qmcpack: LiH_ae_MSD blender: Fishy Cat - CPU-Only onednn: Deconvolution Batch shapes_1d - u8s8f32 - CPU openvino: Handwritten English Recognition FP16 - CPU openvino: Handwritten English Recognition FP16 - CPU onednn: IP Shapes 3D - u8s8f32 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU dacapobench: GraphChi rocksdb: Read Rand Write Rand onednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPU openvino: Person Detection FP32 - CPU dacapobench: Apache Kafka openvino: Person Detection FP32 - CPU dacapobench: BioJava Biological Data Framework build-gem5: Time To Compile cloverleaf: clover_bm blender: Pabellon Barcelona - CPU-Only onednn: Deconvolution Batch shapes_1d - bf16bf16bf16 - CPU openvino: Face Detection Retail FP16-INT8 - CPU openvino: Face Detection Retail FP16-INT8 - CPU openvino: Face Detection Retail FP16 - CPU ospray-studio: 2 - 4K - 16 - Path Tracer - CPU openvino: Face Detection Retail FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU quantlib: Multi-Threaded onednn: Convolution Batch Shapes Auto - u8s8f32 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Weld Porosity Detection FP16 - CPU dacapobench: Zxing 1D/2D Barcode Image Processing dacapobench: Jython openvino: Road Segmentation ADAS FP16-INT8 - CPU openvino: Road Segmentation ADAS FP16-INT8 - CPU openvino: Face Detection FP16 - CPU apache-iotdb: 800 - 100 - 500 - 400 rocksdb: Read While Writing embree: Pathtracer - Crown openvino: Face Detection FP16 - CPU dacapobench: Apache Xalan XSLT openvino: Road Segmentation ADAS FP16 - CPU openvino: Road Segmentation ADAS FP16 - CPU cpuminer-opt: scrypt build-linux-kernel: allmodconfig dacapobench: Tradesoap rocksdb: Update Rand cpuminer-opt: Quad SHA-256, Pyrite openvino: Machine Translation EN To DE FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU dacapobench: Batik SVG Toolkit easywave: e2Asean Grid + BengkuluSept2007 Source - 1200 openvino: Age Gender Recognition Retail 0013 FP16 - CPU dacapobench: Spring Boot openvino: Person Detection FP16 - CPU openvino: Person Detection FP16 - CPU openfoam: drivaerFastback, Small Mesh Size - Execution Time build-llvm: Ninja openfoam: drivaerFastback, Medium Mesh Size - Execution Time openvino: Person Vehicle Bike Detection FP16 - CPU blender: Classroom - CPU-Only ospray-studio: 1 - 4K - 1 - Path Tracer - CPU ospray-studio: 1 - 4K - 16 - Path Tracer - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU blender: BMW27 - CPU-Only onednn: IP Shapes 3D - f32 - CPU embree: Pathtracer ISPC - Asian Dragon Obj build-godot: Time To Compile openvino: Person Vehicle Bike Detection FP16 - CPU ospray-studio: 1 - 1080p - 32 - Path Tracer - CPU onednn: Deconvolution Batch shapes_3d - bf16bf16bf16 - CPU dacapobench: FOP Print Formatter coremark: CoreMark Size 666 - Iterations Per Second ospray-studio: 1 - 1080p - 16 - Path Tracer - CPU dacapobench: Apache Tomcat quantlib: Single-Threaded dacapobench: Apache Lucene Search Index ospray-studio: 1 - 1080p - 1 - Path Tracer - CPU ospray-studio: 3 - 4K - 32 - Path Tracer - CPU duckdb: TPC-H Parquet qmcpack: FeCO6_b3lyp_gms ospray-studio: 3 - 1080p - 16 - Path Tracer - CPU build-llvm: Unix Makefiles dacapobench: Eclipse onednn: Convolution Batch Shapes Auto - f32 - CPU onednn: Recurrent Neural Network Training - u8s8f32 - CPU ospray-studio: 3 - 4K - 1 - Path Tracer - CPU ospray-studio: 2 - 1080p - 32 - Path Tracer - CPU ospray-studio: 3 - 1080p - 1 - Path Tracer - CPU compress-7zip: Compression Rating embree: Pathtracer - Asian Dragon cpuminer-opt: Skeincoin dacapobench: Apache Cassandra qmcpack: Li2_STO_ae build-nodejs: Time To Compile ospray-studio: 2 - 1080p - 16 - Path Tracer - CPU easywave: e2Asean Grid + BengkuluSept2007 Source - 240 ospray-studio: 2 - 1080p - 1 - Path Tracer - CPU onednn: Recurrent Neural Network Training - bf16bf16bf16 - CPU build-linux-kernel: defconfig onednn: Deconvolution Batch shapes_3d - u8s8f32 - CPU embree: Pathtracer ISPC - Crown ospray-studio: 3 - 1080p - 32 - Path Tracer - CPU cpuminer-opt: Myriad-Groestl qmcpack: simple-H2O dacapobench: Avrora AVR Simulation Framework ospray-studio: 2 - 4K - 1 - Path Tracer - CPU compress-7zip: Decompression Rating openvkl: vklBenchmarkCPU ISPC cloverleaf: clover_bm64_short cpuminer-opt: Deepcoin pgbench: 100 - 1000 - Read Only openvino: Vehicle Detection FP16 - CPU openvino: Vehicle Detection FP16 - CPU onednn: Recurrent Neural Network Training - f32 - CPU pgbench: 100 - 1000 - Read Only - Average Latency easywave: e2Asean Grid + BengkuluSept2007 Source - 2400 tidb: oltp_point_select - 128 cloverleaf: clover_bm16 qmcpack: O_ae_pyscf_UHF cpuminer-opt: Ringcoin apache-iotdb: 800 - 100 - 500 - 400 cpuminer-opt: LBC, LBRY Credits onednn: Deconvolution Batch shapes_1d - f32 - CPU onednn: Recurrent Neural Network Inference - u8s8f32 - CPU ospray-studio: 2 - 4K - 32 - Path Tracer - CPU ospray-studio: 3 - 4K - 16 - Path Tracer - CPU rocksdb: Rand Read onednn: Recurrent Neural Network Inference - f32 - CPU blender: Barbershop - CPU-Only onednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPU embree: Pathtracer - Asian Dragon Obj openvkl: vklBenchmarkCPU Scalar embree: Pathtracer ISPC - Asian Dragon ospray-studio: 1 - 4K - 32 - Path Tracer - CPU cpuminer-opt: Garlicoin openvino: Weld Porosity Detection FP16-INT8 - CPU cpuminer-opt: Triple SHA-256, Onecoin duckdb: IMDB openvino: Weld Porosity Detection FP16-INT8 - CPU cpuminer-opt: Magi openvino: Face Detection FP16-INT8 - CPU dacapobench: jMonkeyEngine onednn: Deconvolution Batch shapes_3d - f32 - CPU cpuminer-opt: Blake-2 S openvino: Face Detection FP16-INT8 - CPU oidn: RTLightmap.hdr.4096x4096 - CPU-Only oidn: RT.ldr_alb_nrm.3840x2160 - CPU-Only oidn: RT.hdr_alb_nrm.3840x2160 - CPU-Only tidb: oltp_read_write - 128 qmcpack: H4_ae onednn: IP Shapes 3D - bf16bf16bf16 - CPU onednn: IP Shapes 1D - bf16bf16bf16 - CPU onednn: IP Shapes 1D - u8s8f32 - CPU onednn: IP Shapes 1D - f32 - CPU dacapobench: H2O In-Memory Platform For Machine Learning dacapobench: PMD Source Code Analyzer Dynatron A54 NH-D9 TR5-SP6 4U Noctua NH-U14S TR5-SP6 29.83345 157.33054 17.241 58014 12050.1 8925.6 14333.3 14908.1 6001.5 14860.5 5919.9 8347.2 11878.5 9041.5 5691.2 13207.2 12666.5 10874.0 15572.0 14307.0 13413.6 15140.7 57560 256.80 31769 115899869 44.00 1456.81 9034 1575 2619 81.510 28.44 0.364265 37.75 1693.90 0.535626 9.73 0.49 3279.51 3433 2732194 557.868 153.60 5200 208.15 7679 214.831 12.87 67.87 1.34801 5.47 11656.71 8043.88 33410 3.96 0.66 215906.7 0.900905 3492.71 18.30 405 6501 1165.38 27.41 34.27 103175766 7906737 71.4536 928.84 956 57.65 554.44 802.59 285.690 5668 484131 153597 368.01 86.83 1701 39.464 74181.75 2387 153.43 208.36 53.722761 167.823 679.55439 9.88 54.16 1658 33111 94089.01 21.78 1.73846 74.0495 130.798 3231.74 13417 0.772038 739 2609983.941616 6699 1595 2626.4 4486 419 69819 175.405 117.39 7979 260.329 12221 1.13979 807.503 1972 13580 498 361530 79.5544 88680 5789 113.98 157.779 6793 1.878 425 808.778 40.386 0.346782 73.8429 15960 30013 30.476 6877 1679 429405 1417 57.36 21413 3103753 1307.77 24.41 807.921 0.322 111.275 131834 496.40 202.70 7956.52 179.25 41463 8.60454 551.385 60330 38094 364693916 551.683 203.02 0.461978 70.9417 590 86.8194 59596 12530 6870.14 269273 123.373 9.30 1607.54 67.05 6910 1.32373 364053 475.52 1.01 2.13 2.12 92651 12.94 1.156302 7.66713 3.89814 2.50929 4001 1825 28.738437 142.21599 16.859 59315 13190.0 9737.5 15492.0 16126.0 6481.6 15912.8 6352.9 8865.1 12587.3 9624.4 6041.5 13911.1 13354.5 11486.9 16452.1 15024.5 13984.9 15886.2 58585 254.49 31756 116156551 42.51 1504.57 8762 1623 2596 79.943 27.82 0.373124 37.02 1727.36 0.524059 9.53 0.48 3347.28 3443 2714781 548.021 150.81 5202 211.98 7781 211.135 12.77 67.00 1.34910 5.38 11851.02 8169.00 32891 3.90 0.65 218763.0 0.913218 3539.28 18.05 411 6505 1179.51 27.09 34.68 103136072 8017048 72.2820 916.80 955 56.97 561.08 813.35 282.208 5625 480021 154743 372.30 85.84 1682 39.035 74980.37 2412 152.49 209.64 53.825841 166.193 673.2773 9.83 53.67 1650 32817 94607.98 21.59 1.73842 73.9042 129.864 3247.59 13322 0.765733 733 2615136.672068 6655 1595 2606.8 4464 416 69325 176.494 116.57 7941 259.800 12271 1.14632 812.237 1960 13543 496 363699 79.7000 89180 5790 113.38 156.992 6764 1.869 423 811.008 40.380 0.346541 74.1535 15896 29987 30.425 6903 1673 429921 1420 57.18 21370 3114015 1309.72 24.37 805.398 0.321 110.934 131735 494.92 202.11 7949.67 179.17 41383 8.62775 552.191 60183 38081 365383171 550.532 202.64 0.461672 70.8208 591 86.8343 59620 12513 6879.03 268970 123.236 9.29 1609.09 67.00 6906 1.32315 364077 475.51 1.01 2.13 2.12 88106 13.38 1.120135 6.70884 4.15279 2.38005 3998 1817 25.506367 157.69755 18.477 54139 13202.1 9755.0 15555.1 16080.9 6490.8 15989.6 6294.2 8907.9 12663.6 9638.0 6055.7 14003.8 13397.1 11496.2 16458.3 15080.9 14075.7 15881.8 55940 265.57 30449 111831020 42.81 1493.83 8864 1623 2550 81.993 27.74 0.368487 36.92 1731.90 0.523878 9.59 0.48 3326.95 3379 2681867 547.617 151.70 5108 210.72 7819 212.963 12.65 66.72 1.32645 5.39 11830.60 8174.44 33124 3.90 0.65 219225.4 0.914553 3545.10 18.03 405 6596 1182.29 27.03 34.75 101753914 7961993 72.4502 916.14 968 56.88 561.88 808.84 285.963 5695 485837 155453 372.22 85.85 1698 39.041 74918.38 2399 151.87 210.50 54.261054 167.458 677.58791 9.79 53.75 1643 33094 94926.19 21.62 1.72350 73.4214 130.967 3258.82 13306 0.767655 737 2594063.009916 6648 1583 2610.0 4497 416 69499 176.645 116.96 7924 258.537 12302 1.13905 807.191 1960 13498 495 363359 80.0116 88910 5820 113.96 156.995 6760 1.869 423 807.343 40.561 0.345276 74.1070 15910 29893 30.543 6881 1673 430936 1422 57.16 21443 3103585 1305.34 24.45 807.398 0.322 111.278 132132 495.43 202.36 7933.76 179.67 41350 8.62102 550.806 60314 38008 365498944 550.941 202.93 0.462504 70.9182 591 86.6936 59530 12513 6874.04 269280 123.318 9.29 1607.94 67.06 6905 1.32320 364190 475.35 1.01 2.13 2.12 92598 13.55 1.132469 6.98466 4.55277 2.48457 4448 1824 OpenBenchmarking.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.org Seconds, Fewer Is Better OpenFOAM 10 Input: drivaerFastback, Small Mesh Size - Mesh Time Noctua NH-U14S TR5-SP6 NH-D9 TR5-SP6 4U Dynatron A54 7 14 21 28 35 25.51 28.74 29.83 1. (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.org Seconds, Fewer Is Better OpenFOAM 10 Input: drivaerFastback, Medium Mesh Size - Mesh Time NH-D9 TR5-SP6 4U Dynatron A54 Noctua NH-U14S TR5-SP6 30 60 90 120 150 142.22 157.33 157.70 1. (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.org TPS, More Is Better PostgreSQL 16 Scaling Factor: 100 - Clients: 1000 - Mode: Read Write NH-D9 TR5-SP6 4U Dynatron A54 Noctua NH-U14S TR5-SP6 13K 26K 39K 52K 65K SE +/- 173.21, N = 3 SE +/- 627.52, N = 3 SE +/- 673.20, N = 3 59315 58014 54139 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
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.org point/sec, More Is Better Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 NH-D9 TR5-SP6 4U Dynatron A54 Noctua NH-U14S TR5-SP6 20M 40M 60M 80M 100M SE +/- 896265.80, N = 3 SE +/- 839333.42, N = 3 SE +/- 1061890.13, N = 3 116156551 115899869 111831020
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16-INT8 - Device: CPU NH-D9 TR5-SP6 4U Noctua NH-U14S TR5-SP6 Dynatron A54 300 600 900 1200 1500 SE +/- 7.46, N = 3 SE +/- 7.09, N = 3 SE +/- 19.56, N = 12 1504.57 1493.83 1456.81 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
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.
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.org FPS, More Is Better OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16 - Device: CPU Noctua NH-U14S TR5-SP6 NH-D9 TR5-SP6 4U Dynatron A54 400 800 1200 1600 2000 SE +/- 5.31, N = 3 SE +/- 2.37, N = 3 SE +/- 2.25, N = 3 1731.90 1727.36 1693.90 1. (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.org FPS, More Is Better OpenVINO 2023.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU NH-D9 TR5-SP6 4U Noctua NH-U14S TR5-SP6 Dynatron A54 700 1400 2100 2800 3500 SE +/- 1.55, N = 3 SE +/- 24.03, N = 3 SE +/- 12.47, N = 3 3347.28 3326.95 3279.51 1. (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.
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.org FPS, More Is Better OpenVINO 2023.2.dev Model: Person Detection FP32 - Device: CPU NH-D9 TR5-SP6 4U Noctua NH-U14S TR5-SP6 Dynatron A54 50 100 150 200 250 SE +/- 1.36, N = 3 SE +/- 0.79, N = 3 SE +/- 0.42, N = 3 211.98 210.72 208.15 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
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.