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 Intel Open Image Denoise OSPRay Studio DaCapo Benchmark
Noctua SP6 Heatsinks AMD EPYC Siena Benchmarks openvino: Face Detection FP16 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP32 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Face Detection Retail FP16 - CPU openvino: Face Detection Retail FP16-INT8 - CPU openvino: Handwritten English Recognition FP16 - CPU openvino: Handwritten English Recognition FP16-INT8 - CPU openvino: Road Segmentation ADAS FP16 - CPU openvino: Road Segmentation ADAS FP16-INT8 - CPU embree: Pathtracer - Asian Dragon embree: Pathtracer - Asian Dragon Obj embree: Pathtracer - Crown embree: Pathtracer ISPC - Asian Dragon embree: Pathtracer ISPC - Asian Dragon Obj embree: Pathtracer ISPC - Crown oidn: RT.hdr_alb_nrm.3840x2160 - CPU-Only oidn: RT.ldr_alb_nrm.3840x2160 - CPU-Only oidn: RTLightmap.hdr.4096x4096 - CPU-Only openvkl: vklBenchmarkCPU Scalar openvkl: vklBenchmarkCPU ISPC coremark: CoreMark Size 666 - Iterations Per Second cpuminer-opt: scrypt cpuminer-opt: Triple SHA-256, Onecoin cpuminer-opt: Quad SHA-256, Pyrite cpuminer-opt: Myriad-Groestl cpuminer-opt: Magi cpuminer-opt: Blake-2 S cpuminer-opt: Garlicoin cpuminer-opt: Ringcoin cpuminer-opt: Deepcoin cpuminer-opt: Skeincoin cpuminer-opt: LBC, LBRY Credits blosc: blosclz shuffle - 8MB blosc: blosclz shuffle - 16MB blosc: blosclz shuffle - 32MB blosc: blosclz shuffle - 64MB blosc: blosclz shuffle - 128MB blosc: blosclz shuffle - 256MB blosc: blosclz noshuffle - 8MB blosc: blosclz noshuffle - 16MB blosc: blosclz noshuffle - 32MB blosc: blosclz noshuffle - 64MB blosc: blosclz noshuffle - 128MB blosc: blosclz noshuffle - 256MB blosc: blosclz bitshuffle - 8MB blosc: blosclz bitshuffle - 16MB blosc: blosclz bitshuffle - 32MB blosc: blosclz bitshuffle - 64MB blosc: blosclz bitshuffle - 128MB blosc: blosclz bitshuffle - 256MB quantlib: Single-Threaded quantlib: Multi-Threaded compress-7zip: Compression Rating compress-7zip: Decompression Rating rocksdb: Rand Read rocksdb: Read While Writing rocksdb: Read Rand Write Rand rocksdb: Update Rand apache-iotdb: 800 - 100 - 500 - 400 apache-iotdb: 800 - 100 - 800 - 400 tidb: oltp_read_write - 128 tidb: oltp_point_select - 128 tidb: oltp_update_non_index - 128 tidb: oltp_update_index - 128 pgbench: 100 - 1000 - Read Write pgbench: 100 - 1000 - Read Only apache-iotdb: 800 - 100 - 500 - 400 apache-iotdb: 800 - 100 - 800 - 400 onednn: Convolution Batch Shapes Auto - f32 - CPU onednn: Convolution Batch Shapes Auto - u8s8f32 - CPU onednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPU onednn: Deconvolution Batch shapes_1d - f32 - CPU onednn: Deconvolution Batch shapes_1d - u8s8f32 - CPU onednn: Deconvolution Batch shapes_1d - bf16bf16bf16 - CPU onednn: Deconvolution Batch shapes_3d - f32 - CPU onednn: Deconvolution Batch shapes_3d - u8s8f32 - CPU onednn: Deconvolution Batch shapes_3d - bf16bf16bf16 - CPU onednn: IP Shapes 1D - f32 - CPU onednn: IP Shapes 1D - u8s8f32 - CPU onednn: IP Shapes 1D - bf16bf16bf16 - CPU onednn: IP Shapes 3D - f32 - CPU onednn: IP Shapes 3D - u8s8f32 - CPU onednn: IP Shapes 3D - bf16bf16bf16 - CPU onednn: Recurrent Neural Network Training - f32 - CPU onednn: Recurrent Neural Network Training - u8s8f32 - CPU onednn: Recurrent Neural Network Training - bf16bf16bf16 - CPU onednn: Recurrent Neural Network Inference - f32 - CPU onednn: Recurrent Neural Network Inference - u8s8f32 - CPU onednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPU openvino: Face Detection FP16 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP32 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Face Detection Retail FP16 - CPU openvino: Face Detection Retail FP16-INT8 - CPU openvino: Handwritten English Recognition FP16 - CPU openvino: Handwritten English Recognition FP16-INT8 - CPU openvino: Road Segmentation ADAS FP16 - CPU openvino: Road Segmentation ADAS FP16-INT8 - CPU ospray-studio: 1 - 1080p - 1 - Path Tracer - CPU ospray-studio: 1 - 1080p - 16 - Path Tracer - CPU ospray-studio: 1 - 1080p - 32 - Path Tracer - CPU ospray-studio: 1 - 4K - 1 - Path Tracer - CPU ospray-studio: 1 - 4K - 16 - Path Tracer - CPU ospray-studio: 1 - 4K - 32 - Path Tracer - CPU ospray-studio: 2 - 1080p - 1 - Path Tracer - CPU ospray-studio: 2 - 1080p - 16 - Path Tracer - CPU ospray-studio: 2 - 1080p - 32 - Path Tracer - CPU ospray-studio: 2 - 4K - 1 - Path Tracer - CPU ospray-studio: 2 - 4K - 16 - Path Tracer - CPU ospray-studio: 2 - 4K - 32 - Path Tracer - CPU ospray-studio: 3 - 1080p - 1 - Path Tracer - CPU ospray-studio: 3 - 1080p - 16 - Path Tracer - CPU ospray-studio: 3 - 1080p - 32 - Path Tracer - CPU ospray-studio: 3 - 4K - 1 - Path Tracer - CPU ospray-studio: 3 - 4K - 16 - Path Tracer - CPU ospray-studio: 3 - 4K - 32 - Path Tracer - CPU pgbench: 100 - 1000 - Read Write - Average Latency pgbench: 100 - 1000 - Read Only - Average Latency dacapobench: Eclipse dacapobench: Avrora AVR Simulation Framework dacapobench: Batik SVG Toolkit dacapobench: FOP Print Formatter dacapobench: PMD Source Code Analyzer dacapobench: Apache Tomcat dacapobench: Apache Xalan XSLT dacapobench: Apache Lucene Search Index dacapobench: Apache Lucene Search Engine dacapobench: H2 Database Engine dacapobench: Jython dacapobench: Tradebeans dacapobench: Tradesoap dacapobench: BioJava Biological Data Framework dacapobench: Apache Cassandra dacapobench: GraphChi dacapobench: H2O In-Memory Platform For Machine Learning dacapobench: jMonkeyEngine dacapobench: Apache Kafka dacapobench: Spring Boot dacapobench: Zxing 1D/2D Barcode Image Processing build-gem5: Time To Compile build-linux-kernel: defconfig build-linux-kernel: allmodconfig build-llvm: Ninja build-llvm: Unix Makefiles build-godot: Time To Compile build-nodejs: Time To Compile cloverleaf: clover_bm cloverleaf: clover_bm64_short cloverleaf: clover_bm16 duckdb: IMDB duckdb: TPC-H Parquet easywave: e2Asean Grid + BengkuluSept2007 Source - 240 easywave: e2Asean Grid + BengkuluSept2007 Source - 1200 easywave: e2Asean Grid + BengkuluSept2007 Source - 2400 openfoam: drivaerFastback, Small Mesh Size - Mesh Time openfoam: drivaerFastback, Small Mesh Size - Execution Time openfoam: drivaerFastback, Medium Mesh Size - Mesh Time openfoam: drivaerFastback, Medium Mesh Size - Execution Time blender: BMW27 - CPU-Only blender: Classroom - CPU-Only blender: Fishy Cat - CPU-Only blender: Pabellon Barcelona - CPU-Only blender: Barbershop - CPU-Only qmcpack: simple-H2O qmcpack: Li2_STO_ae qmcpack: FeCO6_b3lyp_gms qmcpack: O_ae_pyscf_UHF qmcpack: LiH_ae_MSD qmcpack: H4_ae Dynatron A54 NH-D9 TR5-SP6 4U Noctua NH-U14S TR5-SP6 34.27 67.05 74181.75 94089.01 208.36 208.15 6870.14 3492.71 3279.51 1307.77 3231.74 368.01 8043.88 11656.71 1693.90 1456.81 554.44 1165.38 79.5544 70.9417 71.4536 86.8194 74.0495 73.8429 2.12 2.13 1.01 590 1417 2609983.941616 802.59 269273 153597 30013 1607.54 364053 12530 7956.52 21413 88680 41463 14908.1 14860.5 14333.3 12050.1 8925.6 6001.5 13413.6 13207.2 12666.5 10874.0 8347.2 5691.2 15572.0 15140.7 14307.0 11878.5 9041.5 5919.9 2626.4 215906.7 361530 429405 364693916 7906737 2732194 484131 103175766 115899869 92651 131834 57560 31769 58014 3103753 179.25 256.80 1.13979 0.900905 0.461978 8.60454 0.364265 1.34801 1.32373 0.346782 0.772038 2.50929 3.89814 7.66713 1.73846 0.535626 1.156302 807.921 807.503 808.778 551.683 551.385 557.868 928.84 475.52 0.66 0.49 153.43 153.60 9.30 18.30 9.73 24.41 9.88 86.83 3.96 5.47 37.75 44.00 57.65 27.41 419 6699 13417 1658 33111 59596 425 6793 13580 1679 33410 60330 498 7979 15960 1972 38094 69819 17.241 0.322 12221 6877 1701 739 1825 1595 956 4486 1575 2619 6501 9034 5668 7679 5789 3433 4001 6910 5200 2387 405 214.831 40.386 285.690 167.823 260.329 130.798 157.779 12.87 57.36 496.40 123.373 175.405 1.878 39.464 111.275 29.83345 53.722761 157.33054 679.55439 21.78 54.16 28.44 67.87 203.02 30.476 113.98 117.39 202.70 81.510 12.94 34.68 67.00 74980.37 94607.98 209.64 211.98 6879.03 3539.28 3347.28 1309.72 3247.59 372.30 8169.00 11851.02 1727.36 1504.57 561.08 1179.51 79.7000 70.8208 72.2820 86.8343 73.9042 74.1535 2.12 2.13 1.01 591 1420 2615136.672068 813.35 268970 154743 29987 1609.09 364077 12513 7949.67 21370 89180 41383 16126.0 15912.8 15492.0 13190.0 9737.5 6481.6 13984.9 13911.1 13354.5 11486.9 8865.1 6041.5 16452.1 15886.2 15024.5 12587.3 9624.4 6352.9 2606.8 218763.0 363699 429921 365383171 8017048 2714781 480021 103136072 116156551 88106 131735 58585 31756 59315 3114015 179.17 254.49 1.14632 0.913218 0.461672 8.62775 0.373124 1.34910 1.32315 0.346541 0.765733 2.38005 4.15279 6.70884 1.73842 0.524059 1.120135 805.398 812.237 811.008 550.532 552.191 548.021 916.80 475.51 0.65 0.48 152.49 150.81 9.29 18.05 9.53 24.37 9.83 85.84 3.90 5.38 37.02 42.51 56.97 27.09 416 6655 13322 1650 32817 59620 423 6764 13543 1673 32891 60183 496 7941 15896 1960 38081 69325 16.859 0.321 12271 6903 1682 733 1817 1595 955 4464 1623 2596 6505 8762 5625 7781 5790 3443 3998 6906 5202 2412 411 211.135 40.380 282.208 166.193 259.800 129.864 156.992 12.77 57.18 494.92 123.236 176.494 1.869 39.035 110.934 28.738437 53.825841 142.21599 673.2773 21.59 53.67 27.82 67.00 202.64 30.425 113.38 116.57 202.11 79.943 13.38 34.75 67.06 74918.38 94926.19 210.50 210.72 6874.04 3545.10 3326.95 1305.34 3258.82 372.22 8174.44 11830.60 1731.90 1493.83 561.88 1182.29 80.0116 70.9182 72.4502 86.6936 73.4214 74.1070 2.12 2.13 1.01 591 1422 2594063.009916 808.84 269280 155453 29893 1607.94 364190 12513 7933.76 21443 88910 41350 16080.9 15989.6 15555.1 13202.1 9755.0 6490.8 14075.7 14003.8 13397.1 11496.2 8907.9 6055.7 16458.3 15881.8 15080.9 12663.6 9638.0 6294.2 2610.0 219225.4 363359 430936 365498944 7961993 2681867 485837 101753914 111831020 92598 132132 55940 30449 54139 3103585 179.67 265.57 1.13905 0.914553 0.462504 8.62102 0.368487 1.32645 1.32320 0.345276 0.767655 2.48457 4.55277 6.98466 1.72350 0.523878 1.132469 807.398 807.191 807.343 550.941 550.806 547.617 916.14 475.35 0.65 0.48 151.87 151.70 9.29 18.03 9.59 24.45 9.79 85.85 3.90 5.39 36.92 42.81 56.88 27.03 416 6648 13306 1643 33094 59530 423 6760 13498 1673 33124 60314 495 7924 15910 1960 38008 69499 18.477 0.322 12302 6881 1698 737 1824 1583 968 4497 1623 2550 6596 8864 5695 7819 5820 3379 4448 6905 5108 2399 405 212.963 40.561 285.963 167.458 258.537 130.967 156.995 12.65 57.16 495.43 123.318 176.645 1.869 39.041 111.278 25.506367 54.261054 157.69755 677.58791 21.62 53.75 27.74 66.72 202.93 30.543 113.96 116.96 202.36 81.993 13.55 OpenBenchmarking.org
CPU Temperature Monitor OpenBenchmarking.org Celsius CPU Temperature Monitor Phoronix Test Suite System Monitoring Noctua NH-U14S TR5-SP6 NH-D9 TR5-SP6 4U Dynatron A54 20 40 60 80 100 Min: 25.5 / Avg: 41.58 / Max: 63.13 Min: 25 / Avg: 42.69 / Max: 64.75 Min: 30 / Avg: 63.81 / Max: 87.88
CPU Power Consumption Monitor OpenBenchmarking.org Watts CPU Power Consumption Monitor Phoronix Test Suite System Monitoring NH-D9 TR5-SP6 4U Noctua NH-U14S TR5-SP6 Dynatron A54 40 80 120 160 200 Min: 6.16 / Avg: 119.77 / Max: 230.54 Min: 6.05 / Avg: 121.3 / Max: 230.54 Min: 6.93 / Avg: 126.41 / Max: 230.52
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: Face Detection FP16 - Device: CPU Noctua NH-U14S TR5-SP6 NH-D9 TR5-SP6 4U Dynatron A54 8 16 24 32 40 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 34.75 34.68 34.27 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Face Detection FP16-INT8 - Device: CPU Noctua NH-U14S TR5-SP6 Dynatron A54 NH-D9 TR5-SP6 4U 15 30 45 60 75 SE +/- 0.02, N = 3 SE +/- 0.11, N = 3 SE +/- 0.04, N = 3 67.06 67.05 67.00 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU NH-D9 TR5-SP6 4U Noctua NH-U14S TR5-SP6 Dynatron A54 16K 32K 48K 64K 80K SE +/- 95.58, N = 3 SE +/- 97.06, N = 3 SE +/- 106.60, N = 3 74980.37 74918.38 74181.75 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU Noctua NH-U14S TR5-SP6 NH-D9 TR5-SP6 4U Dynatron A54 20K 40K 60K 80K 100K SE +/- 82.69, N = 3 SE +/- 253.03, N = 3 SE +/- 123.77, N = 3 94926.19 94607.98 94089.01 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Person Detection FP16 - Device: CPU Noctua NH-U14S TR5-SP6 NH-D9 TR5-SP6 4U Dynatron A54 50 100 150 200 250 SE +/- 0.27, N = 3 SE +/- 0.78, N = 3 SE +/- 0.33, N = 3 210.50 209.64 208.36 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
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
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU NH-D9 TR5-SP6 4U Noctua NH-U14S TR5-SP6 Dynatron A54 1500 3000 4500 6000 7500 SE +/- 12.82, N = 3 SE +/- 12.85, N = 3 SE +/- 2.08, N = 3 6879.03 6874.04 6870.14 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16 - Device: CPU Noctua NH-U14S TR5-SP6 NH-D9 TR5-SP6 4U Dynatron A54 800 1600 2400 3200 4000 SE +/- 1.00, N = 3 SE +/- 1.77, N = 3 SE +/- 1.78, N = 3 3545.10 3539.28 3492.71 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
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
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Vehicle Detection FP16 - Device: CPU NH-D9 TR5-SP6 4U Dynatron A54 Noctua NH-U14S TR5-SP6 300 600 900 1200 1500 SE +/- 10.16, N = 3 SE +/- 15.06, N = 3 SE +/- 3.73, N = 3 1309.72 1307.77 1305.34 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU Noctua NH-U14S TR5-SP6 NH-D9 TR5-SP6 4U Dynatron A54 700 1400 2100 2800 3500 SE +/- 16.81, N = 3 SE +/- 3.44, N = 3 SE +/- 3.50, N = 3 3258.82 3247.59 3231.74 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU NH-D9 TR5-SP6 4U Noctua NH-U14S TR5-SP6 Dynatron A54 80 160 240 320 400 SE +/- 0.49, N = 3 SE +/- 0.78, N = 3 SE +/- 0.50, N = 3 372.30 372.22 368.01 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Face Detection Retail FP16 - Device: CPU Noctua NH-U14S TR5-SP6 NH-D9 TR5-SP6 4U Dynatron A54 2K 4K 6K 8K 10K SE +/- 10.57, N = 3 SE +/- 12.62, N = 3 SE +/- 9.37, N = 3 8174.44 8169.00 8043.88 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Face Detection Retail FP16-INT8 - Device: CPU NH-D9 TR5-SP6 4U Noctua NH-U14S TR5-SP6 Dynatron A54 3K 6K 9K 12K 15K SE +/- 13.35, N = 3 SE +/- 9.54, N = 3 SE +/- 11.83, N = 3 11851.02 11830.60 11656.71 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
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
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
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16 - Device: CPU Noctua NH-U14S TR5-SP6 NH-D9 TR5-SP6 4U Dynatron A54 120 240 360 480 600 SE +/- 3.31, N = 3 SE +/- 5.22, N = 3 SE +/- 5.87, N = 3 561.88 561.08 554.44 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.org FPS, More Is Better OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16-INT8 - Device: CPU Noctua NH-U14S TR5-SP6 NH-D9 TR5-SP6 4U Dynatron A54 300 600 900 1200 1500 SE +/- 3.64, N = 3 SE +/- 6.52, N = 3 SE +/- 3.32, N = 3 1182.29 1179.51 1165.38 1. (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.
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.