EPYC 75F3

AMD EPYC 75F3 32-Core testing with a ASRockRack ROME2D16-2T (P3.10 BIOS) and ASPEED on Ubuntu 21.10 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2110161-TJ-EPYC75F3767
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Result
Identifier
Performance Per
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Date
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  Duration
Dynatron
October 15 2021
  20 Hours, 54 Minutes
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Dynatron

Processor: AMD EPYC 75F3 32-Core @ 2.95GHz (32 Cores / 64 Threads), Motherboard: ASRockRack ROME2D16-2T (P3.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 8 x GB DDR4-3200MT/s HMA81GR7CJR8N-XN, Disk: 1000GB Western Digital WD_BLACK SN850 1TB, Graphics: ASPEED, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel 10G X550T

OS: Ubuntu 21.10, Kernel: 5.13.0-19-generic (x86_64), Desktop: GNOME Shell 40.5, Display Server: X Server, Vulkan: 1.1.182, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa001114
Java Notes: OpenJDK Runtime Environment (build 11.0.12+7-Ubuntu-0ubuntu3)
Python Notes: Python 3.9.7
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

EPYC 75F3OpenBenchmarking.orgPhoronix Test SuiteAMD EPYC 75F3 32-Core @ 2.95GHz (32 Cores / 64 Threads)ASRockRack ROME2D16-2T (P3.10 BIOS)AMD Starship/Matisse8 x GB DDR4-3200MT/s HMA81GR7CJR8N-XN1000GB Western Digital WD_BLACK SN850 1TBASPEEDAMD Starship/MatisseVE2282 x Intel 10G X550TUbuntu 21.105.13.0-19-generic (x86_64)GNOME Shell 40.5X Server1.1.182GCC 11.2.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerVulkanCompilerFile-SystemScreen ResolutionEPYC 75F3 BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa001114 - OpenJDK Runtime Environment (build 11.0.12+7-Ubuntu-0ubuntu3)- Python 3.9.7- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

EPYC 75F3openssl: SHA256openvkl: vklBenchmark Scalaropenvkl: vklBenchmark ISPCbuild-gcc: Time To Compilebrl-cad: VGR Performance Metricpgbench: 100 - 50 - Read Write - Average Latencypgbench: 100 - 50 - Read Writeasmfish: 1024 Hash Memory, 26 Depthpgbench: 1 - 500 - Read Write - Average Latencypgbench: 1 - 500 - Read Writepgbench: 1 - 250 - Read Write - Average Latencypgbench: 1 - 250 - Read Writeapache: 1lczero: BLASlczero: Eigenecp-candle: P3B2jpegxl: PNG - 8openssl: RSA4096openssl: RSA4096ncnn: CPU - regnety_400mncnn: CPU - squeezenet_ssdncnn: CPU - yolov4-tinyncnn: CPU - resnet50ncnn: CPU - alexnetncnn: CPU - resnet18ncnn: CPU - vgg16ncnn: CPU - googlenetncnn: CPU - blazefacencnn: CPU - efficientnet-b0ncnn: CPU - mnasnetncnn: CPU - shufflenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU - mobilenetbuild-llvm: Unix Makefilesnpb: EP.Dtnn: CPU - DenseNetbuild-llvm: Ninjaecp-candle: P3B1cpuminer-opt: Skeincoincpuminer-opt: Myriad-Groestlstress-ng: Cryptostress-ng: CPU Cachestress-ng: Glibc C String Functionspgbench: 100 - 500 - Read Write - Average Latencypgbench: 100 - 500 - Read Writepgbench: 100 - 250 - Read Write - Average Latencypgbench: 100 - 250 - Read Writepgbench: 100 - 500 - Read Only - Average Latencypgbench: 100 - 500 - Read Onlypgbench: 100 - 1 - Read Write - Average Latencypgbench: 100 - 1 - Read Writepgbench: 100 - 250 - Read Only - Average Latencypgbench: 100 - 250 - Read Onlypgbench: 100 - 100 - Read Write - Average Latencypgbench: 100 - 100 - Read Writepgbench: 100 - 100 - Read Only - Average Latencypgbench: 100 - 100 - Read Onlypgbench: 100 - 1 - Read Only - Average Latencypgbench: 100 - 1 - Read Onlypgbench: 100 - 50 - Read Only - Average Latencypgbench: 100 - 50 - Read Onlypgbench: 1 - 100 - Read Write - Average Latencypgbench: 1 - 100 - Read Writepgbench: 1 - 500 - Read Only - Average Latencypgbench: 1 - 500 - Read Onlypgbench: 1 - 250 - Read Only - Average Latencypgbench: 1 - 250 - Read Onlypgbench: 1 - 50 - Read Write - Average Latencypgbench: 1 - 50 - Read Writepgbench: 1 - 1 - Read Write - Average Latencypgbench: 1 - 1 - Read Writepgbench: 1 - 1 - Read Only - Average Latencypgbench: 1 - 1 - Read Onlypgbench: 1 - 100 - Read Only - Average Latencypgbench: 1 - 100 - Read Onlypgbench: 1 - 50 - Read Only - Average Latencypgbench: 1 - 50 - Read Onlycassandra: Writesbuild-nodejs: Time To Compilecpuminer-opt: Quad SHA-256, Pyritecpuminer-opt: Ringcoincpuminer-opt: LBC, LBRY Creditscpuminer-opt: Magicpuminer-opt: Blake-2 Scpuminer-opt: Deepcoinstockfish: Total Timejpegxl: PNG - 7natron: Spaceshiptachyon: Total Timeapache: 1000svt-av1: Preset 4 - Bosphorus 4Kapache: 500nginx: 500nginx: 100nginx: 1000nginx: 200nginx: 1apache: 200nginx: 20apache: 100apache: 20mnn: inception-v3mnn: mobilenet-v1-1.0mnn: MobileNetV2_224mnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: squeezenetv1.1mnn: mobilenetV3vpxenc: Speed 0 - Bosphorus 4Kcpuminer-opt: Triple SHA-256, Onecoinsimdjson: PartialTweetssimdjson: DistinctUserIDrocksdb: Seq Fillrocksdb: Rand Fill Syncrocksdb: Rand Fillrocksdb: Update Randrocksdb: Read Rand Write Randrocksdb: Read While Writingrocksdb: Rand Readx265: Bosphorus 1080psimdjson: Kostyaoidn: RTLightmap.hdr.4096x4096svt-av1: Preset 8 - Bosphorus 4Ksimdjson: LargeRandjpegxl-decode: 1build-godot: Time To Compilebuild-gdb: Time To Compilevpxenc: Speed 0 - Bosphorus 1080pbuild-linux-kernel: Time To Compilevpxenc: Speed 5 - Bosphorus 4Kjpegxl-decode: Allkvazaar: Bosphorus 4K - Slownpb: BT.Ckvazaar: Bosphorus 4K - Mediumcpuminer-opt: x25xcpuminer-opt: Garlicoinstress-ng: IO_uringstress-ng: NUMAstress-ng: MMAPstress-ng: Mallocstress-ng: System V Message Passingstress-ng: Memory Copyingstress-ng: MEMFDstress-ng: Matrix Mathstress-ng: Atomicstress-ng: Forkingstress-ng: Glibc Qsort Data Sortingstress-ng: CPU Stressstress-ng: SENDFILEstress-ng: Context Switchingstress-ng: Socket Activitystress-ng: Semaphoresstress-ng: Vector Mathoidn: RT.hdr_alb_nrm.3840x2160oidn: RT.ldr_alb_nrm.3840x2160dav1d: Chimera 1080p 10-bitsvt-av1: Preset 4 - Bosphorus 1080pencode-flac: WAV To FLACastcenc: Exhaustivex265: Bosphorus 4Ksvt-hevc: 1 - Bosphorus 1080pdav1d: Chimera 1080ptnn: CPU - MobileNet v2jpegxl: PNG - 5build-ffmpeg: Time To Compilejpegxl: JPEG - 7vpxenc: Speed 5 - Bosphorus 1080pkvazaar: Bosphorus 1080p - Slowbuild-mesa: Time To Compilekvazaar: Bosphorus 1080p - Mediumjpegxl: JPEG - 5tnn: CPU - SqueezeNet v1.1build-apache: Time To Compilejpegxl: JPEG - 8kvazaar: Bosphorus 4K - Ultra Fastkvazaar: Bosphorus 1080p - Very Fastkvazaar: Bosphorus 4K - Very Fastnpb: EP.Castcenc: Thoroughkvazaar: Bosphorus 1080p - Ultra Fastsvt-av1: Preset 8 - Bosphorus 1080ptnn: CPU - SqueezeNet v2ecp-candle: P1B2astcenc: Mediumsvt-vp9: Visual Quality Optimized - Bosphorus 1080pdav1d: Summer Nature 4Ksvt-hevc: 7 - Bosphorus 1080pdav1d: Summer Nature 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080psvt-vp9: VMAF Optimized - Bosphorus 1080psvt-hevc: 10 - Bosphorus 1080pstress-ng: RdRandDynatron3682715533266115663.4253772841.11544958867907291063.648493238.92110516212.15135212921020.5370.97491258.47774.116.9716.4520.0716.565.519.3525.2913.513.177.765.786.835.986.3213.74230.3633128.462865.333197.121562.678232301189678004.23103.103899212.259.008555064.113607830.5059902850.43522970.2589699971.689592100.1049686540.031321380.05787446158.04017230.47310561250.241103816824.25920610.41424130.029340240.09510545600.055914080271914124.8882494833681.13898811317.751022553306221022826689.505.025.2797127183.281.784126352.95185156.33179336.41184455.33183254.8457083.81134901.71200858.95116436.5469293.4225.6422.2463.4415.58022.0924.4892.1157.306973194.184.94987657653279357157965293118027617324921601039452.073.210.5423.3721.1155.6549.00341.18615.1129.86016.79273.8018.8192223.4019.04951.851804.21160020.99477.69724.611020690833.527331749.149595.721181.55131056.34177489.5672849.14435.2590374.97652468.9515232159.8718740.684846844.6194753.101.101.10460.817.25813.15017.927027.7228.33571.75293.80267.2119.74774.1331.2931.1219.24832.0575.28251.43617.32628.6859.7359.6935.853118.325.8883127.83133.59662.14032.8223.6044394.73438.20345.45549.44507.37512.36655.27OpenBenchmarking.org

OpenSSL

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

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.0Algorithm: SHA256Dynatron8000M16000M24000M32000M40000MSE +/- 646936340.42, N = 12368271553321. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.0CPU Power Consumption MonitorDynatron50100150200250Min: 43.14 / Avg: 238.76 / Max: 287.251. Dynatron: Approximate power consumption of 43773 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterOpenSSL 3.0CPU Temperature MonitorDynatron1632486480Min: 55.5 / Avg: 79.01 / Max: 84.5

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 1.0Benchmark: vklBenchmark ScalarDynatron1530456075SE +/- 0.00, N = 366MIN: 5 / MAX: 2112
OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 1.0CPU Power Consumption MonitorDynatron50100150200250Min: 42.76 / Avg: 170.94 / Max: 287.271. Dynatron: Approximate power consumption of 121593 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVKL 1.0CPU Temperature MonitorDynatron1632486480Min: 51.5 / Avg: 65.28 / Max: 83.25

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 1.0Benchmark: vklBenchmark ISPCDynatron306090120150SE +/- 0.33, N = 3115MIN: 11 / MAX: 2611
OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 1.0CPU Power Consumption MonitorDynatron50100150200250Min: 43.21 / Avg: 169.15 / Max: 285.691. Dynatron: Approximate power consumption of 118910 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVKL 1.0CPU Temperature MonitorDynatron1632486480Min: 53.5 / Avg: 64.61 / Max: 82.5

Timed GCC Compilation

This test times how long it takes to build the GNU Compiler Collection (GCC) compiler. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GCC Compilation 11.2.0Time To CompileDynatron140280420560700SE +/- 0.54, N = 3663.43
OpenBenchmarking.orgWatts, Fewer Is BetterTimed GCC Compilation 11.2.0CPU Power Consumption MonitorDynatron50100150200250Min: 42.7 / Avg: 136.62 / Max: 282.81. Dynatron: Approximate power consumption of 91581 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterTimed GCC Compilation 11.2.0CPU Temperature MonitorDynatron1530456075Min: 48.75 / Avg: 59.83 / Max: 81

BRL-CAD

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

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.32.2VGR Performance MetricDynatron80K160K240K320K400K3772841. (CXX) g++ options: -std=c++11 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -ldl -lm
OpenBenchmarking.orgWatts, Fewer Is BetterBRL-CAD 7.32.2CPU Power Consumption MonitorDynatron50100150200250Min: 40.68 / Avg: 235.62 / Max: 287.23
OpenBenchmarking.orgCelsius, Fewer Is BetterBRL-CAD 7.32.2CPU Temperature MonitorDynatron1632486480Min: 51.75 / Avg: 78.86 / Max: 86

PostgreSQL pgbench

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

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 50 - Mode: Read Write - Average LatencyDynatron0.25090.50180.75271.00361.2545SE +/- 0.019, N = 121.1151. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 14.0CPU Power Consumption MonitorDynatron50100150200250Min: 41.9 / Avg: 214.02 / Max: 259.931. Dynatron: Approximate power consumption of 30230 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 14.0CPU Temperature MonitorDynatron1428425670Min: 42.25 / Avg: 62.3 / Max: 71.5

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 50 - Mode: Read WriteDynatron10K20K30K40K50KSE +/- 715.99, N = 12449581. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

asmFish

This is a test of asmFish, an advanced chess benchmark written in Assembly. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthDynatron20M40M60M80M100MSE +/- 730641.66, N = 1286790729
OpenBenchmarking.orgWatts, Fewer Is BetterasmFish 2018-07-23CPU Power Consumption MonitorDynatron50100150200250Min: 43.46 / Avg: 249.87 / Max: 287.291. Dynatron: Approximate power consumption of 35170 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterasmFish 2018-07-23CPU Temperature MonitorDynatron1632486480Min: 57.5 / Avg: 79.88 / Max: 84.5

PostgreSQL pgbench

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

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 14.0Scaling Factor: 1 - Clients: 500 - Mode: Read Write - Average LatencyDynatron2004006008001000SE +/- 70.11, N = 121063.651. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 14.0CPU Power Consumption MonitorDynatron20406080100Min: 41.88 / Avg: 76.34 / Max: 104.911. Dynatron: Approximate power consumption of 10427 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 14.0CPU Temperature MonitorDynatron1122334455Min: 42.25 / Avg: 46.43 / Max: 57.25

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 14.0Scaling Factor: 1 - Clients: 500 - Mode: Read WriteDynatron110220330440550SE +/- 32.48, N = 124931. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 14.0Scaling Factor: 1 - Clients: 250 - Mode: Read Write - Average LatencyDynatron50100150200250SE +/- 4.95, N = 12238.921. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 14.0CPU Power Consumption MonitorDynatron20406080100Min: 38.81 / Avg: 76.93 / Max: 100.221. Dynatron: Approximate power consumption of 10347 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 14.0CPU Temperature MonitorDynatron1224364860Min: 42.75 / Avg: 46.88 / Max: 59

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 14.0Scaling Factor: 1 - Clients: 250 - Mode: Read WriteDynatron2004006008001000SE +/- 20.07, N = 1210511. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

Apache HTTP Server

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

OpenBenchmarking.orgRequests Per Second, More Is BetterApache HTTP Server 2.4.48Concurrent Requests: 1Dynatron13002600390052006500SE +/- 85.87, N = 156212.151. (CC) gcc options: -shared -fPIC -O2
OpenBenchmarking.orgWatts, Fewer Is BetterApache HTTP Server 2.4.48CPU Power Consumption MonitorDynatron20406080100Min: 41.99 / Avg: 76.65 / Max: 95.631. Dynatron: Approximate power consumption of 7246 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterApache HTTP Server 2.4.48CPU Temperature MonitorDynatron1224364860Min: 44.5 / Avg: 48.52 / Max: 59.25

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: BLASDynatron30060090012001500SE +/- 9.24, N = 313521. (CXX) g++ options: -flto -pthread
MinAvgMaxDynatron42.0269.0285.7OpenBenchmarking.orgWatts, Fewer Is BetterLeelaChessZero 0.28CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 94600 Joules per run.
MinAvgMaxDynatron44.875.482.5OpenBenchmarking.orgCelsius, Fewer Is BetterLeelaChessZero 0.28CPU Temperature Monitor20406080100

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: EigenDynatron30060090012001500SE +/- 2.65, N = 312921. (CXX) g++ options: -flto -pthread
MinAvgMaxDynatron43.7270.7285.7OpenBenchmarking.orgWatts, Fewer Is BetterLeelaChessZero 0.28CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 95111 Joules per run.
MinAvgMaxDynatron57.077.083.0OpenBenchmarking.orgCelsius, Fewer Is BetterLeelaChessZero 0.28CPU Temperature Monitor20406080100

ECP-CANDLE

The CANDLE benchmark codes implement deep learning architectures relevant to problems in cancer. These architectures address problems at different biological scales, specifically problems at the molecular, cellular and population scales. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterECP-CANDLE 0.4Benchmark: P3B2Dynatron20040060080010001020.54
MinAvgMaxDynatron43.295.4116.2OpenBenchmarking.orgWatts, Fewer Is BetterECP-CANDLE 0.4CPU Power Consumption Monitor4080120160200
MinAvgMaxDynatron50.052.567.5OpenBenchmarking.orgCelsius, Fewer Is BetterECP-CANDLE 0.4CPU Temperature Monitor20406080100

JPEG XL libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance using the reference libjxl library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.5Input: PNG - Encode Speed: 8Dynatron0.21830.43660.65490.87321.0915SE +/- 0.00, N = 30.971. (CXX) g++ options: -funwind-tables -O3 -O2 -pthread -fPIE -pie
MinAvgMaxDynatron42.394.5120.9OpenBenchmarking.orgWatts, Fewer Is BetterJPEG XL libjxl 0.5CPU Power Consumption Monitor40801201602001. Dynatron: Approximate power consumption of 28567 Joules per run.
MinAvgMaxDynatron46.059.866.3OpenBenchmarking.orgCelsius, Fewer Is BetterJPEG XL libjxl 0.5CPU Temperature Monitor20406080100

OpenSSL

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

OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.0Algorithm: RSA4096Dynatron110K220K330K440K550KSE +/- 8152.04, N = 12491258.41. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
MinAvgMaxDynatron42.5239.1283.8OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.0CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 15245 Joules per run.
MinAvgMaxDynatron47.578.083.3OpenBenchmarking.orgCelsius, Fewer Is BetterOpenSSL 3.0CPU Temperature Monitor20406080100

OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.0Algorithm: RSA4096Dynatron17003400510068008500SE +/- 133.78, N = 127774.11. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: regnety_400mDynatron48121620SE +/- 0.06, N = 1116.97MIN: 16.6 / MAX: 21.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
MinAvgMaxDynatron43.6184.8237.1OpenBenchmarking.orgWatts, Fewer Is BetterNCNN 20210720CPU Power Consumption Monitor601201802403001. Dynatron: Approximate power consumption of 12637 Joules per run.
MinAvgMaxDynatron58.567.573.0OpenBenchmarking.orgCelsius, Fewer Is BetterNCNN 20210720CPU Temperature Monitor20406080100

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: squeezenet_ssdDynatron48121620SE +/- 0.10, N = 1116.45MIN: 15.94 / MAX: 190.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: yolov4-tinyDynatron510152025SE +/- 0.13, N = 1120.07MIN: 19.37 / MAX: 23.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: resnet50Dynatron48121620SE +/- 0.06, N = 1116.56MIN: 16.04 / MAX: 28.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: alexnetDynatron1.23982.47963.71944.95926.199SE +/- 0.10, N = 115.51MIN: 4.99 / MAX: 9.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: resnet18Dynatron3691215SE +/- 0.08, N = 119.35MIN: 8.82 / MAX: 55.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: vgg16Dynatron612182430SE +/- 0.22, N = 1125.29MIN: 23.72 / MAX: 175.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: googlenetDynatron3691215SE +/- 0.13, N = 1113.51MIN: 12.86 / MAX: 195.021. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: blazefaceDynatron0.71331.42662.13992.85323.5665SE +/- 0.00, N = 113.17MIN: 3.1 / MAX: 3.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: efficientnet-b0Dynatron246810SE +/- 0.04, N = 117.76MIN: 7.56 / MAX: 10.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: mnasnetDynatron1.30052.6013.90155.2026.5025SE +/- 0.02, N = 115.78MIN: 5.64 / MAX: 16.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: shufflenet-v2Dynatron246810SE +/- 0.01, N = 116.83MIN: 6.62 / MAX: 15.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU-v3-v3 - Model: mobilenet-v3Dynatron1.34552.6914.03655.3826.7275SE +/- 0.01, N = 115.98MIN: 5.83 / MAX: 8.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU-v2-v2 - Model: mobilenet-v2Dynatron246810SE +/- 0.01, N = 116.32MIN: 6.16 / MAX: 9.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: mobilenetDynatron48121620SE +/- 0.10, N = 1113.74MIN: 13.21 / MAX: 24.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Timed LLVM Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 13.0Build System: Unix MakefilesDynatron50100150200250SE +/- 2.81, N = 3230.36
MinAvgMaxDynatron43.4225.5286.4OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 13.0CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 55849 Joules per run.
MinAvgMaxDynatron54.074.183.3OpenBenchmarking.orgCelsius, Fewer Is BetterTimed LLVM Compilation 13.0CPU Temperature Monitor20406080100

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DDynatron7001400210028003500SE +/- 50.30, N = 153128.461. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.0
MinAvgMaxDynatron42.7235.2281.4OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 11398 Joules per run.
MinAvgMaxDynatron50.876.986.3OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature Monitor20406080100

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: DenseNetDynatron6001200180024003000SE +/- 2.85, N = 32865.33MIN: 2794.26 / MAX: 2953.681. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
MinAvgMaxDynatron42.9116.5127.0OpenBenchmarking.orgWatts, Fewer Is BetterTNN 0.3CPU Power Consumption Monitor40801201602001. Dynatron: Approximate power consumption of 23797 Joules per run.
MinAvgMaxDynatron50.855.066.0OpenBenchmarking.orgCelsius, Fewer Is BetterTNN 0.3CPU Temperature Monitor20406080100

Timed LLVM Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 13.0Build System: NinjaDynatron4080120160200SE +/- 1.26, N = 3197.12
MinAvgMaxDynatron42.9240.0287.3OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 13.0CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 51279 Joules per run.
MinAvgMaxDynatron52.376.585.5OpenBenchmarking.orgCelsius, Fewer Is BetterTimed LLVM Compilation 13.0CPU Temperature Monitor20406080100

ECP-CANDLE

The CANDLE benchmark codes implement deep learning architectures relevant to problems in cancer. These architectures address problems at different biological scales, specifically problems at the molecular, cellular and population scales. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterECP-CANDLE 0.4Benchmark: P3B1Dynatron120240360480600562.68
MinAvgMaxDynatron42.6171.6180.2OpenBenchmarking.orgWatts, Fewer Is BetterECP-CANDLE 0.4CPU Power Consumption Monitor50100150200250
MinAvgMaxDynatron49.564.469.5OpenBenchmarking.orgCelsius, Fewer Is BetterECP-CANDLE 0.4CPU Temperature Monitor20406080100

Cpuminer-Opt

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

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: SkeincoinDynatron50K100K150K200K250KSE +/- 18645.41, N = 152323011. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
MinAvgMaxDynatron42.491.4213.2OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.18CPU Power Consumption Monitor601201802403001. Dynatron: Approximate power consumption of 3194 Joules per run.
MinAvgMaxDynatron47.352.068.3OpenBenchmarking.orgCelsius, Fewer Is BetterCpuminer-Opt 3.18CPU Temperature Monitor20406080100

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: Myriad-GroestlDynatron4K8K12K16K20KSE +/- 4385.19, N = 15189671. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
MinAvgMaxDynatron42.2143.3201.3OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.18CPU Power Consumption Monitor501001502002501. Dynatron: Approximate power consumption of 5006 Joules per run.
MinAvgMaxDynatron45.858.663.8OpenBenchmarking.orgCelsius, Fewer Is BetterCpuminer-Opt 3.18CPU Temperature Monitor20406080100

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.13.02Test: CryptoDynatron2K4K6K8K10KSE +/- 92.01, N = 158004.231. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lsctp -lz -ldl -pthread -lc -latomic
MinAvgMaxDynatron42.2239.2287.2OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.13.02CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 8117 Joules per run.
MinAvgMaxDynatron53.577.483.5OpenBenchmarking.orgCelsius, Fewer Is BetterStress-NG 0.13.02CPU Temperature Monitor20406080100

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.13.02Test: CPU CacheDynatron20406080100SE +/- 3.84, N = 15103.101. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lsctp -lz -ldl -pthread -lc -latomic
MinAvgMaxDynatron42.7146.2219.5OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.13.02CPU Power Consumption Monitor601201802403001. Dynatron: Approximate power consumption of 4960 Joules per run.
MinAvgMaxDynatron52.859.873.8OpenBenchmarking.orgCelsius, Fewer Is BetterStress-NG 0.13.02CPU Temperature Monitor20406080100

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.13.02Test: Glibc C String FunctionsDynatron800K1600K2400K3200K4000KSE +/- 55716.08, N = 153899212.251. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lsctp -lz -ldl -pthread -lc -latomic
MinAvgMaxDynatron43.1229.4287.2OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.13.02CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 7799 Joules per run.
MinAvgMaxDynatron55.077.083.8OpenBenchmarking.orgCelsius, Fewer Is BetterStress-NG 0.13.02CPU Temperature Monitor20406080100

PostgreSQL pgbench

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

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average LatencyDynatron3691215SE +/- 0.011, N = 39.0081. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
MinAvgMaxDynatron42.9242.2282.3OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 14.0CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 34237 Joules per run.
MinAvgMaxDynatron54.868.474.5OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 14.0CPU Temperature Monitor20406080100

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 500 - Mode: Read WriteDynatron12K24K36K48K60KSE +/- 69.02, N = 3555061. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average LatencyDynatron0.92541.85082.77623.70164.627SE +/- 0.010, N = 34.1131. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
MinAvgMaxDynatron43.1240.9282.5OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 14.0CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 34044 Joules per run.
MinAvgMaxDynatron54.366.274.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 14.0CPU Temperature Monitor20406080100

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 250 - Mode: Read WriteDynatron13K26K39K52K65KSE +/- 152.89, N = 3607831. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average LatencyDynatron0.11360.22720.34080.45440.568SE +/- 0.003, N = 30.5051. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
MinAvgMaxDynatron42.9249.0286.8OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 14.0CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 35197 Joules per run.
MinAvgMaxDynatron53.374.282.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 14.0CPU Temperature Monitor20406080100

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 500 - Mode: Read OnlyDynatron200K400K600K800K1000KSE +/- 4782.82, N = 39902851. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 1 - Mode: Read Write - Average LatencyDynatron0.09790.19580.29370.39160.4895SE +/- 0.000, N = 30.4351. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
MinAvgMaxDynatron42.397.1144.3OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 14.0CPU Power Consumption Monitor40801201602001. Dynatron: Approximate power consumption of 13783 Joules per run.
MinAvgMaxDynatron46.051.856.5OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 14.0CPU Temperature Monitor1632486480

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 1 - Mode: Read WriteDynatron5001000150020002500SE +/- 1.83, N = 322971. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average LatencyDynatron0.05810.11620.17430.23240.2905SE +/- 0.000, N = 30.2581. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
MinAvgMaxDynatron42.8248.6287.1OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 14.0CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 35220 Joules per run.
MinAvgMaxDynatron52.574.282.3OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 14.0CPU Temperature Monitor20406080100

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 250 - Mode: Read OnlyDynatron200K400K600K800K1000KSE +/- 1175.50, N = 39699971. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average LatencyDynatron0.380.761.141.521.9SE +/- 0.009, N = 31.6891. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
MinAvgMaxDynatron42.9234.5274.0OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 14.0CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 33145 Joules per run.
MinAvgMaxDynatron53.065.173.5OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 14.0CPU Temperature Monitor20406080100

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 100 - Mode: Read WriteDynatron13K26K39K52K65KSE +/- 299.05, N = 3592101. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average LatencyDynatron0.02340.04680.07020.09360.117SE +/- 0.001, N = 30.1041. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
MinAvgMaxDynatron42.6248.0283.7OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 14.0CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 35140 Joules per run.
MinAvgMaxDynatron51.072.879.8OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 14.0CPU Temperature Monitor20406080100

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 100 - Mode: Read OnlyDynatron200K400K600K800K1000KSE +/- 8330.97, N = 39686541. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 1 - Mode: Read Only - Average LatencyDynatron0.0070.0140.0210.0280.035SE +/- 0.000, N = 30.0311. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
MinAvgMaxDynatron41.883.9141.1OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 14.0CPU Power Consumption Monitor40801201602001. Dynatron: Approximate power consumption of 11851 Joules per run.
MinAvgMaxDynatron42.847.354.5OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 14.0CPU Temperature Monitor1530456075

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 1 - Mode: Read OnlyDynatron7K14K21K28K35KSE +/- 166.19, N = 3321381. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 50 - Mode: Read Only - Average LatencyDynatron0.01280.02560.03840.05120.064SE +/- 0.000, N = 30.0571. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
MinAvgMaxDynatron42.7244.0280.5OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 14.0CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 34323 Joules per run.
MinAvgMaxDynatron50.571.979.3OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 14.0CPU Temperature Monitor20406080100

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 50 - Mode: Read OnlyDynatron200K400K600K800K1000KSE +/- 3579.52, N = 38744611. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 14.0Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average LatencyDynatron1326395265SE +/- 0.07, N = 358.041. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
MinAvgMaxDynatron42.379.191.6OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 14.0CPU Power Consumption Monitor204060801001. Dynatron: Approximate power consumption of 10656 Joules per run.
MinAvgMaxDynatron45.850.658.3OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 14.0CPU Temperature Monitor1632486480

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 14.0Scaling Factor: 1 - Clients: 100 - Mode: Read WriteDynatron400800120016002000SE +/- 2.15, N = 317231. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 14.0Scaling Factor: 1 - Clients: 500 - Mode: Read Only - Average LatencyDynatron0.10640.21280.31920.42560.532SE +/- 0.002, N = 30.4731. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
MinAvgMaxDynatron41.7253.9284.1OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 14.0CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 34017 Joules per run.
MinAvgMaxDynatron41.071.980.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 14.0CPU Temperature Monitor20406080100

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 14.0Scaling Factor: 1 - Clients: 500 - Mode: Read OnlyDynatron200K400K600K800K1000KSE +/- 3864.48, N = 310561251. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 14.0Scaling Factor: 1 - Clients: 250 - Mode: Read Only - Average LatencyDynatron0.05420.10840.16260.21680.271SE +/- 0.001, N = 30.2411. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
MinAvgMaxDynatron41.8254.4284.8OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 14.0CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 34171 Joules per run.
MinAvgMaxDynatron41.872.180.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 14.0CPU Temperature Monitor20406080100

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 14.0Scaling Factor: 1 - Clients: 250 - Mode: Read OnlyDynatron200K400K600K800K1000KSE +/- 5385.76, N = 310381681. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 14.0Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average LatencyDynatron612182430SE +/- 0.02, N = 324.261. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
MinAvgMaxDynatron41.981.593.8OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 14.0CPU Power Consumption Monitor204060801001. Dynatron: Approximate power consumption of 10976 Joules per run.
MinAvgMaxDynatron43.847.649.3OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 14.0CPU Temperature Monitor1428425670

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 14.0Scaling Factor: 1 - Clients: 50 - Mode: Read WriteDynatron400800120016002000SE +/- 1.65, N = 320611. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 14.0Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average LatencyDynatron0.09320.18640.27960.37280.466SE +/- 0.001, N = 30.4141. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
MinAvgMaxDynatron42.282.492.3OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 14.0CPU Power Consumption Monitor204060801001. Dynatron: Approximate power consumption of 11073 Joules per run.
MinAvgMaxDynatron46.850.153.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 14.0CPU Temperature Monitor1530456075

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 14.0Scaling Factor: 1 - Clients: 1 - Mode: Read WriteDynatron5001000150020002500SE +/- 5.02, N = 324131. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 14.0Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average LatencyDynatron0.00650.0130.01950.0260.0325SE +/- 0.000, N = 30.0291. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
MinAvgMaxDynatron42.082.692.0OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 14.0CPU Power Consumption Monitor204060801001. Dynatron: Approximate power consumption of 11090 Joules per run.
MinAvgMaxDynatron44.550.356.8OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 14.0CPU Temperature Monitor1632486480

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 14.0Scaling Factor: 1 - Clients: 1 - Mode: Read OnlyDynatron7K14K21K28K35KSE +/- 164.71, N = 3340241. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 14.0Scaling Factor: 1 - Clients: 100 - Mode: Read Only - Average LatencyDynatron0.02140.04280.06420.08560.107SE +/- 0.001, N = 30.0951. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
MinAvgMaxDynatron42.0256.7287.2OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 14.0CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 34308 Joules per run.
MinAvgMaxDynatron45.074.882.5OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 14.0CPU Temperature Monitor20406080100

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 14.0Scaling Factor: 1 - Clients: 100 - Mode: Read OnlyDynatron200K400K600K800K1000KSE +/- 10405.66, N = 310545601. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 14.0Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average LatencyDynatron0.01240.02480.03720.04960.062SE +/- 0.000, N = 30.0551. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
MinAvgMaxDynatron42.1253.3286.3OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 14.0CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 33941 Joules per run.
MinAvgMaxDynatron44.573.982.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 14.0CPU Temperature Monitor20406080100

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 14.0Scaling Factor: 1 - Clients: 50 - Mode: Read OnlyDynatron200K400K600K800K1000KSE +/- 2747.87, N = 39140801. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

Apache Cassandra

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

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.0Test: WritesDynatron60K120K180K240K300KSE +/- 1147.37, N = 3271914
MinAvgMaxDynatron42.5220.6256.8OpenBenchmarking.orgWatts, Fewer Is BetterApache Cassandra 4.0CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 31768 Joules per run.
MinAvgMaxDynatron48.069.079.0OpenBenchmarking.orgCelsius, Fewer Is BetterApache Cassandra 4.0CPU Temperature Monitor20406080100

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 15.11Time To CompileDynatron306090120150SE +/- 0.24, N = 3124.89
MinAvgMaxDynatron42.6240.6286.6OpenBenchmarking.orgWatts, Fewer Is BetterTimed Node.js Compilation 15.11CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 31192 Joules per run.
MinAvgMaxDynatron48.074.383.8OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Node.js Compilation 15.11CPU Temperature Monitor20406080100

Cpuminer-Opt

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

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: Quad SHA-256, PyriteDynatron50K100K150K200K250KSE +/- 24944.62, N = 122494831. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
MinAvgMaxDynatron42.293.0199.8OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.18CPU Power Consumption Monitor501001502002501. Dynatron: Approximate power consumption of 3253 Joules per run.
MinAvgMaxDynatron46.850.864.8OpenBenchmarking.orgCelsius, Fewer Is BetterCpuminer-Opt 3.18CPU Temperature Monitor20406080100

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: RingcoinDynatron8001600240032004000SE +/- 296.18, N = 123681.131. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
MinAvgMaxDynatron43.3227.4255.8OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.18CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 7920 Joules per run.
MinAvgMaxDynatron55.572.476.3OpenBenchmarking.orgCelsius, Fewer Is BetterCpuminer-Opt 3.18CPU Temperature Monitor20406080100

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: LBC, LBRY CreditsDynatron20K40K60K80K100KSE +/- 2556.74, N = 12898811. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
MinAvgMaxDynatron42.299.3246.1OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.18CPU Power Consumption Monitor601201802403001. Dynatron: Approximate power consumption of 3475 Joules per run.
MinAvgMaxDynatron46.351.565.0OpenBenchmarking.orgCelsius, Fewer Is BetterCpuminer-Opt 3.18CPU Temperature Monitor20406080100

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: MagiDynatron30060090012001500SE +/- 114.83, N = 121317.751. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
MinAvgMaxDynatron42.6236.7274.8OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.18CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 8264 Joules per run.
MinAvgMaxDynatron51.077.082.8OpenBenchmarking.orgCelsius, Fewer Is BetterCpuminer-Opt 3.18CPU Temperature Monitor20406080100

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: Blake-2 SDynatron200K400K600K800K1000KSE +/- 73387.53, N = 1210225531. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
MinAvgMaxDynatron42.287.2154.6OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.18CPU Power Consumption Monitor40801201602001. Dynatron: Approximate power consumption of 3044 Joules per run.
MinAvgMaxDynatron48.052.759.0OpenBenchmarking.orgCelsius, Fewer Is BetterCpuminer-Opt 3.18CPU Temperature Monitor1632486480

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: DeepcoinDynatron7K14K21K28K35KSE +/- 691.37, N = 12306221. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
MinAvgMaxDynatron43.4189.3265.6OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.18CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 6593 Joules per run.
MinAvgMaxDynatron55.067.175.0OpenBenchmarking.orgCelsius, Fewer Is BetterCpuminer-Opt 3.18CPU Temperature Monitor20406080100

Stockfish

This is a test of Stockfish, an advanced open-source C++11 chess benchmark that can scale up to 512 CPU threads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 13Total TimeDynatron20M40M60M80M100MSE +/- 892083.69, N = 151022826681. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fprofile-use -fno-peel-loops -fno-tracer -pedantic -O3 -msse -msse3 -mpopcnt -mavx2 -msse4.1 -mssse3 -msse2 -mbmi2 -flto -flto=jobserver
MinAvgMaxDynatron43.5240.7286.9OpenBenchmarking.orgWatts, Fewer Is BetterStockfish 13CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 6484 Joules per run.
MinAvgMaxDynatron57.377.883.5OpenBenchmarking.orgCelsius, Fewer Is BetterStockfish 13CPU Temperature Monitor20406080100

JPEG XL libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance using the reference libjxl library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.5Input: PNG - Encode Speed: 7Dynatron3691215SE +/- 0.01, N = 39.501. (CXX) g++ options: -funwind-tables -O3 -O2 -pthread -fPIE -pie
MinAvgMaxDynatron42.4101.0131.9OpenBenchmarking.orgWatts, Fewer Is BetterJPEG XL libjxl 0.5CPU Power Consumption Monitor40801201602001. Dynatron: Approximate power consumption of 11957 Joules per run.
MinAvgMaxDynatron47.559.265.8OpenBenchmarking.orgCelsius, Fewer Is BetterJPEG XL libjxl 0.5CPU Temperature Monitor20406080100

Natron

Natron is an open-source, cross-platform compositing software for visual effects (VFX) and motion graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterNatron 2.4Input: SpaceshipDynatron1.1252.253.3754.55.625SE +/- 0.04, N = 155.0
MinAvgMaxDynatron43.6187.6281.1OpenBenchmarking.orgWatts, Fewer Is BetterNatron 2.4CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 4701 Joules per run.
MinAvgMaxDynatron55.868.781.3OpenBenchmarking.orgCelsius, Fewer Is BetterNatron 2.4CPU Temperature Monitor20406080100

Tachyon

This is a test of the threaded Tachyon, a parallel ray-tracing system, measuring the time to ray-trace a sample scene. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTachyon 0.99b6Total TimeDynatron612182430SE +/- 0.41, N = 1225.281. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread
MinAvgMaxDynatron43.6238.1287.0OpenBenchmarking.orgWatts, Fewer Is BetterTachyon 0.99b6CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 6985 Joules per run.
MinAvgMaxDynatron57.878.384.5OpenBenchmarking.orgCelsius, Fewer Is BetterTachyon 0.99b6CPU Temperature Monitor20406080100

Apache HTTP Server

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

OpenBenchmarking.orgRequests Per Second, More Is BetterApache HTTP Server 2.4.48Concurrent Requests: 1000Dynatron30K60K90K120K150KSE +/- 808.06, N = 3127183.281. (CC) gcc options: -shared -fPIC -O2
MinAvgMaxDynatron43.3230.9256.4OpenBenchmarking.orgWatts, Fewer Is BetterApache HTTP Server 2.4.48CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 23010 Joules per run.
MinAvgMaxDynatron55.371.976.0OpenBenchmarking.orgCelsius, Fewer Is BetterApache HTTP Server 2.4.48CPU Temperature Monitor20406080100

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8.7Encoder Mode: Preset 4 - Input: Bosphorus 4KDynatron0.40140.80281.20421.60562.007SE +/- 0.010, N = 31.7841. (CXX) g++ options: -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie
MinAvgMaxDynatron42.5142.2224.3OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 0.8.7CPU Power Consumption Monitor601201802403001. Dynatron: Approximate power consumption of 13559 Joules per run.
MinAvgMaxDynatron49.356.273.3OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-AV1 0.8.7CPU Temperature Monitor20406080100

Apache HTTP Server

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

OpenBenchmarking.orgRequests Per Second, More Is BetterApache HTTP Server 2.4.48Concurrent Requests: 500Dynatron30K60K90K120K150KSE +/- 542.90, N = 3126352.951. (CC) gcc options: -shared -fPIC -O2
MinAvgMaxDynatron43.3236.3254.5OpenBenchmarking.orgWatts, Fewer Is BetterApache HTTP Server 2.4.48CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 22767 Joules per run.
MinAvgMaxDynatron55.372.375.8OpenBenchmarking.orgCelsius, Fewer Is BetterApache HTTP Server 2.4.48CPU Temperature Monitor20406080100

nginx

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

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.21.1Concurrent Requests: 500Dynatron40K80K120K160K200KSE +/- 183.86, N = 3185156.331. (CC) gcc options: -lcrypt -lz -O3 -march=native
MinAvgMaxDynatron42.9167.1177.9OpenBenchmarking.orgWatts, Fewer Is Betternginx 1.21.1CPU Power Consumption Monitor501001502002501. Dynatron: Approximate power consumption of 16152 Joules per run.
MinAvgMaxDynatron53.064.867.5OpenBenchmarking.orgCelsius, Fewer Is Betternginx 1.21.1CPU Temperature Monitor20406080100

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.21.1Concurrent Requests: 100Dynatron40K80K120K160K200KSE +/- 117.01, N = 3179336.411. (CC) gcc options: -lcrypt -lz -O3 -march=native
MinAvgMaxDynatron42.6166.0177.5OpenBenchmarking.orgWatts, Fewer Is Betternginx 1.21.1CPU Power Consumption Monitor501001502002501. Dynatron: Approximate power consumption of 16047 Joules per run.
MinAvgMaxDynatron50.863.967.3OpenBenchmarking.orgCelsius, Fewer Is Betternginx 1.21.1CPU Temperature Monitor20406080100

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.21.1Concurrent Requests: 1000Dynatron40K80K120K160K200KSE +/- 447.00, N = 3184455.331. (CC) gcc options: -lcrypt -lz -O3 -march=native
MinAvgMaxDynatron42.9167.5178.4OpenBenchmarking.orgWatts, Fewer Is Betternginx 1.21.1CPU Power Consumption Monitor501001502002501. Dynatron: Approximate power consumption of 16251 Joules per run.
MinAvgMaxDynatron52.364.968.0OpenBenchmarking.orgCelsius, Fewer Is Betternginx 1.21.1CPU Temperature Monitor20406080100

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.21.1Concurrent Requests: 200Dynatron40K80K120K160K200KSE +/- 348.50, N = 3183254.841. (CC) gcc options: -lcrypt -lz -O3 -march=native
MinAvgMaxDynatron42.8167.3177.7OpenBenchmarking.orgWatts, Fewer Is Betternginx 1.21.1CPU Power Consumption Monitor501001502002501. Dynatron: Approximate power consumption of 16115 Joules per run.
MinAvgMaxDynatron52.364.769.0OpenBenchmarking.orgCelsius, Fewer Is Betternginx 1.21.1CPU Temperature Monitor20406080100

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.21.1Concurrent Requests: 1Dynatron12K24K36K48K60KSE +/- 533.29, N = 357083.811. (CC) gcc options: -lcrypt -lz -O3 -march=native
MinAvgMaxDynatron42.277.084.5OpenBenchmarking.orgWatts, Fewer Is Betternginx 1.21.1CPU Power Consumption Monitor204060801001. Dynatron: Approximate power consumption of 7414 Joules per run.
MinAvgMaxDynatron46.550.757.5OpenBenchmarking.orgCelsius, Fewer Is Betternginx 1.21.1CPU Temperature Monitor1632486480

Apache HTTP Server

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

OpenBenchmarking.orgRequests Per Second, More Is BetterApache HTTP Server 2.4.48Concurrent Requests: 200Dynatron30K60K90K120K150KSE +/- 275.10, N = 3134901.711. (CC) gcc options: -shared -fPIC -O2
MinAvgMaxDynatron43.1234.0253.2OpenBenchmarking.orgWatts, Fewer Is BetterApache HTTP Server 2.4.48CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 22619 Joules per run.
MinAvgMaxDynatron54.071.475.3OpenBenchmarking.orgCelsius, Fewer Is BetterApache HTTP Server 2.4.48CPU Temperature Monitor20406080100

nginx

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

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.21.1Concurrent Requests: 20Dynatron40K80K120K160K200KSE +/- 212.85, N = 3200858.951. (CC) gcc options: -lcrypt -lz -O3 -march=native
MinAvgMaxDynatron42.0155.2166.1OpenBenchmarking.orgWatts, Fewer Is Betternginx 1.21.1CPU Power Consumption Monitor501001502002501. Dynatron: Approximate power consumption of 15056 Joules per run.
MinAvgMaxDynatron44.859.964.0OpenBenchmarking.orgCelsius, Fewer Is Betternginx 1.21.1CPU Temperature Monitor20406080100

Apache HTTP Server

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

OpenBenchmarking.orgRequests Per Second, More Is BetterApache HTTP Server 2.4.48Concurrent Requests: 100Dynatron20K40K60K80K100KSE +/- 275.38, N = 3116436.541. (CC) gcc options: -shared -fPIC -O2
MinAvgMaxDynatron42.7222.6240.1OpenBenchmarking.orgWatts, Fewer Is BetterApache HTTP Server 2.4.48CPU Power Consumption Monitor601201802403001. Dynatron: Approximate power consumption of 21446 Joules per run.
MinAvgMaxDynatron51.868.873.0OpenBenchmarking.orgCelsius, Fewer Is BetterApache HTTP Server 2.4.48CPU Temperature Monitor20406080100

OpenBenchmarking.orgRequests Per Second, More Is BetterApache HTTP Server 2.4.48Concurrent Requests: 20Dynatron15K30K45K60K75KSE +/- 147.92, N = 369293.421. (CC) gcc options: -shared -fPIC -O2
MinAvgMaxDynatron41.9181.4198.2OpenBenchmarking.orgWatts, Fewer Is BetterApache HTTP Server 2.4.48CPU Power Consumption Monitor501001502002501. Dynatron: Approximate power consumption of 17535 Joules per run.
MinAvgMaxDynatron43.861.266.8OpenBenchmarking.orgCelsius, Fewer Is BetterApache HTTP Server 2.4.48CPU Temperature Monitor20406080100

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: inception-v3Dynatron612182430SE +/- 0.05, N = 325.64MIN: 25.11 / MAX: 40.071. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
MinAvgMaxDynatron42.0265.3286.6OpenBenchmarking.orgWatts, Fewer Is BetterMobile Neural Network 1.2CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 24143 Joules per run.
MinAvgMaxDynatron43.375.883.0OpenBenchmarking.orgCelsius, Fewer Is BetterMobile Neural Network 1.2CPU Temperature Monitor20406080100

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: mobilenet-v1-1.0Dynatron0.50541.01081.51622.02162.527SE +/- 0.021, N = 32.246MIN: 2.2 / MAX: 2.351. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: MobileNetV2_224Dynatron0.77421.54842.32263.09683.871SE +/- 0.007, N = 33.441MIN: 3.4 / MAX: 3.571. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: SqueezeNetV1.0Dynatron1.25552.5113.76655.0226.2775SE +/- 0.068, N = 35.580MIN: 5.32 / MAX: 6.861. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: resnet-v2-50Dynatron510152025SE +/- 0.07, N = 322.09MIN: 21.3 / MAX: 27.991. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: squeezenetv1.1Dynatron1.012.023.034.045.05SE +/- 0.074, N = 34.489MIN: 4.33 / MAX: 5.191. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: mobilenetV3Dynatron0.47590.95181.42771.90362.3795SE +/- 0.017, N = 32.115MIN: 2.06 / MAX: 2.241. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

VP9 libvpx Encoding

This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9 video format. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.10.0Speed: Speed 0 - Input: Bosphorus 4KDynatron246810SE +/- 0.04, N = 37.301. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11
MinAvgMaxDynatron42.7155.7166.5OpenBenchmarking.orgWatts, Fewer Is BetterVP9 libvpx Encoding 1.10.0CPU Power Consumption Monitor501001502002501. Dynatron: Approximate power consumption of 13601 Joules per run.
MinAvgMaxDynatron50.867.972.3OpenBenchmarking.orgCelsius, Fewer Is BetterVP9 libvpx Encoding 1.10.0CPU Temperature Monitor20406080100

Cpuminer-Opt

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

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: Triple SHA-256, OnecoinDynatron150K300K450K600K750KSE +/- 5813.94, N = 86973191. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
MinAvgMaxDynatron42.593.3211.1OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.18CPU Power Consumption Monitor601201802403001. Dynatron: Approximate power consumption of 3244 Joules per run.
MinAvgMaxDynatron49.553.368.0OpenBenchmarking.orgCelsius, Fewer Is BetterCpuminer-Opt 3.18CPU Temperature Monitor20406080100

simdjson

This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 1.0Throughput Test: PartialTweetsDynatron0.94051.8812.82153.7624.7025SE +/- 0.00, N = 34.181. (CXX) g++ options: -O3
MinAvgMaxDynatron42.886.490.8OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 1.0CPU Power Consumption Monitor204060801001. Dynatron: Approximate power consumption of 6449 Joules per run.
MinAvgMaxDynatron48.552.559.8OpenBenchmarking.orgCelsius, Fewer Is Bettersimdjson 1.0CPU Temperature Monitor1632486480

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 1.0Throughput Test: DistinctUserIDDynatron1.11152.2233.33454.4465.5575SE +/- 0.00, N = 34.941. (CXX) g++ options: -O3
MinAvgMaxDynatron42.185.090.2OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 1.0CPU Power Consumption Monitor204060801001. Dynatron: Approximate power consumption of 6234 Joules per run.
MinAvgMaxDynatron45.348.149.3OpenBenchmarking.orgCelsius, Fewer Is Bettersimdjson 1.0CPU Temperature Monitor1428425670

Facebook RocksDB

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

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Sequential FillDynatron200K400K600K800K1000KSE +/- 2029.20, N = 39876571. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
MinAvgMaxDynatron42.9238.7258.7OpenBenchmarking.orgWatts, Fewer Is BetterFacebook RocksDB 6.22.1CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 16470 Joules per run.
MinAvgMaxDynatron54.077.984.0OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.22.1CPU Temperature Monitor20406080100

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Random Fill SyncDynatron14K28K42K56K70KSE +/- 65.24, N = 3653271. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
MinAvgMaxDynatron42.795.8109.0OpenBenchmarking.orgWatts, Fewer Is BetterFacebook RocksDB 6.22.1CPU Power Consumption Monitor204060801001. Dynatron: Approximate power consumption of 6225 Joules per run.
MinAvgMaxDynatron52.355.759.5OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.22.1CPU Temperature Monitor1632486480

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Random FillDynatron200K400K600K800K1000KSE +/- 8611.67, N = 39357151. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
MinAvgMaxDynatron43.7241.0265.3OpenBenchmarking.orgWatts, Fewer Is BetterFacebook RocksDB 6.22.1CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 15425 Joules per run.
MinAvgMaxDynatron57.379.384.8OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.22.1CPU Temperature Monitor20406080100

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Update RandomDynatron200K400K600K800K1000KSE +/- 10085.55, N = 37965291. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
MinAvgMaxDynatron43.8247.5284.3OpenBenchmarking.orgWatts, Fewer Is BetterFacebook RocksDB 6.22.1CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 15924 Joules per run.
MinAvgMaxDynatron59.379.483.8OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.22.1CPU Temperature Monitor20406080100

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Read Random Write RandomDynatron700K1400K2100K2800K3500KSE +/- 34745.62, N = 331180271. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
MinAvgMaxDynatron43.8260.5286.7OpenBenchmarking.orgWatts, Fewer Is BetterFacebook RocksDB 6.22.1CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 16587 Joules per run.
MinAvgMaxDynatron59.079.984.5OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.22.1CPU Temperature Monitor20406080100

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Read While WritingDynatron1.3M2.6M3.9M5.2M6.5MSE +/- 42830.36, N = 361732491. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
MinAvgMaxDynatron43.6266.5287.2OpenBenchmarking.orgWatts, Fewer Is BetterFacebook RocksDB 6.22.1CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 17054 Joules per run.
MinAvgMaxDynatron56.579.183.3OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.22.1CPU Temperature Monitor20406080100

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Random ReadDynatron50M100M150M200M250MSE +/- 289776.36, N = 32160103941. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
MinAvgMaxDynatron42.4266.6285.4OpenBenchmarking.orgWatts, Fewer Is BetterFacebook RocksDB 6.22.1CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 16973 Joules per run.
MinAvgMaxDynatron49.376.882.5OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.22.1CPU Temperature Monitor20406080100

x265

This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080pDynatron1224364860SE +/- 0.53, N = 1552.071. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
MinAvgMaxDynatron21.3114.3159.4OpenBenchmarking.orgWatts, Fewer Is Betterx265 3.4CPU Power Consumption Monitor501001502002501. Dynatron: Approximate power consumption of 1791 Joules per run.
MinAvgMaxDynatron45.053.764.0OpenBenchmarking.orgCelsius, Fewer Is Betterx265 3.4CPU Temperature Monitor20406080100

simdjson

This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 1.0Throughput Test: KostyaDynatron0.72231.44462.16692.88923.6115SE +/- 0.00, N = 33.211. (CXX) g++ options: -O3
MinAvgMaxDynatron42.3100.4107.5OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 1.0CPU Power Consumption Monitor204060801001. Dynatron: Approximate power consumption of 6022 Joules per run.
MinAvgMaxDynatron45.849.751.3OpenBenchmarking.orgCelsius, Fewer Is Bettersimdjson 1.0CPU Temperature Monitor1530456075

Intel Open Image Denoise

Open Image Denoise is a denoising library for ray-tracing and part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RTLightmap.hdr.4096x4096Dynatron0.12150.2430.36450.4860.6075SE +/- 0.00, N = 30.54
MinAvgMaxDynatron42.8188.3278.3OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 11044 Joules per run.
MinAvgMaxDynatron52.064.975.0OpenBenchmarking.orgCelsius, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Temperature Monitor20406080100

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8.7Encoder Mode: Preset 8 - Input: Bosphorus 4KDynatron612182430SE +/- 0.23, N = 623.371. (CXX) g++ options: -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie
MinAvgMaxDynatron42.6155.9202.3OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 0.8.7CPU Power Consumption Monitor501001502002501. Dynatron: Approximate power consumption of 4885 Joules per run.
MinAvgMaxDynatron49.859.771.5OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-AV1 0.8.7CPU Temperature Monitor20406080100

simdjson

This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 1.0Throughput Test: LargeRandomDynatron0.24980.49960.74940.99921.249SE +/- 0.00, N = 31.111. (CXX) g++ options: -O3
MinAvgMaxDynatron42.397.3103.4OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 1.0CPU Power Consumption Monitor204060801001. Dynatron: Approximate power consumption of 5320 Joules per run.
MinAvgMaxDynatron46.349.851.0OpenBenchmarking.orgCelsius, Fewer Is Bettersimdjson 1.0CPU Temperature Monitor1530456075

JPEG XL Decoding libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is suited for JPEG XL decode performance testing to PNG output file, the pts/jpexl test is for encode performance. The JPEG XL encoding/decoding is done using the libjxl codebase. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL Decoding libjxl 0.5CPU Threads: 1Dynatron1326395265SE +/- 0.05, N = 355.65
MinAvgMaxDynatron42.183.892.4OpenBenchmarking.orgWatts, Fewer Is BetterJPEG XL Decoding libjxl 0.5CPU Power Consumption Monitor204060801001. Dynatron: Approximate power consumption of 4525 Joules per run.
MinAvgMaxDynatron44.847.448.8OpenBenchmarking.orgCelsius, Fewer Is BetterJPEG XL Decoding libjxl 0.5CPU Temperature Monitor1428425670

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 3.2.3Time To CompileDynatron1122334455SE +/- 0.01, N = 349.00
MinAvgMaxDynatron43.1193.1282.0OpenBenchmarking.orgWatts, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 10426 Joules per run.
MinAvgMaxDynatron52.867.878.5OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3CPU Temperature Monitor20406080100

Timed GDB GNU Debugger Compilation

This test times how long it takes to build the GNU Debugger (GDB) in a default configuration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 10.2Time To CompileDynatron918273645SE +/- 0.03, N = 341.19
MinAvgMaxDynatron43.0139.4278.9OpenBenchmarking.orgWatts, Fewer Is BetterTimed GDB GNU Debugger Compilation 10.2CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 6321 Joules per run.
MinAvgMaxDynatron52.861.072.5OpenBenchmarking.orgCelsius, Fewer Is BetterTimed GDB GNU Debugger Compilation 10.2CPU Temperature Monitor20406080100

VP9 libvpx Encoding

This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9 video format. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.10.0Speed: Speed 0 - Input: Bosphorus 1080pDynatron48121620SE +/- 0.03, N = 315.111. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11
MinAvgMaxDynatron42.7141.8156.9OpenBenchmarking.orgWatts, Fewer Is BetterVP9 libvpx Encoding 1.10.0CPU Power Consumption Monitor40801201602001. Dynatron: Approximate power consumption of 6238 Joules per run.
MinAvgMaxDynatron50.865.172.5OpenBenchmarking.orgCelsius, Fewer Is BetterVP9 libvpx Encoding 1.10.0CPU Temperature Monitor20406080100

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. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.14Time To CompileDynatron714212835SE +/- 0.34, N = 429.86
MinAvgMaxDynatron42.1192.5280.7OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 5.14CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 7267 Joules per run.
MinAvgMaxDynatron40.562.775.5OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Linux Kernel Compilation 5.14CPU Temperature Monitor20406080100

VP9 libvpx Encoding

This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9 video format. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.10.0Speed: Speed 5 - Input: Bosphorus 4KDynatron48121620SE +/- 0.12, N = 316.791. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11
MinAvgMaxDynatron42.6132.0147.6OpenBenchmarking.orgWatts, Fewer Is BetterVP9 libvpx Encoding 1.10.0CPU Power Consumption Monitor40801201602001. Dynatron: Approximate power consumption of 5588 Joules per run.
MinAvgMaxDynatron50.862.070.0OpenBenchmarking.orgCelsius, Fewer Is BetterVP9 libvpx Encoding 1.10.0CPU Temperature Monitor20406080100

JPEG XL Decoding libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is suited for JPEG XL decode performance testing to PNG output file, the pts/jpexl test is for encode performance. The JPEG XL encoding/decoding is done using the libjxl codebase. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL Decoding libjxl 0.5CPU Threads: AllDynatron60120180240300SE +/- 3.10, N = 4273.80
MinAvgMaxDynatron42.0125.3164.8OpenBenchmarking.orgWatts, Fewer Is BetterJPEG XL Decoding libjxl 0.5CPU Power Consumption Monitor501001502002501. Dynatron: Approximate power consumption of 3602 Joules per run.
MinAvgMaxDynatron43.854.867.0OpenBenchmarking.orgCelsius, Fewer Is BetterJPEG XL Decoding libjxl 0.5CPU Temperature Monitor20406080100

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.1Video Input: Bosphorus 4K - Video Preset: SlowDynatron510152025SE +/- 0.02, N = 318.811. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxDynatron42.9222.9258.3OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.1CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 8026 Joules per run.
MinAvgMaxDynatron46.368.578.8OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.1CPU Temperature Monitor20406080100

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CDynatron20K40K60K80K100KSE +/- 85.81, N = 392223.401. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.0
MinAvgMaxDynatron43.7228.5258.2OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 8151 Joules per run.
MinAvgMaxDynatron56.572.679.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature Monitor20406080100

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.1Video Input: Bosphorus 4K - Video Preset: MediumDynatron510152025SE +/- 0.03, N = 319.041. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxDynatron42.9220.9256.5OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.1CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 7806 Joules per run.
MinAvgMaxDynatron53.371.179.3OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.1CPU Temperature Monitor20406080100

Cpuminer-Opt

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

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: x25xDynatron2004006008001000SE +/- 10.09, N = 3951.851. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
MinAvgMaxDynatron42.1241.5278.1OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.18CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 8453 Joules per run.
MinAvgMaxDynatron46.370.878.0OpenBenchmarking.orgCelsius, Fewer Is BetterCpuminer-Opt 3.18CPU Temperature Monitor20406080100

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.18Algorithm: GarlicoinDynatron400800120016002000SE +/- 8.21, N = 31804.211. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
MinAvgMaxDynatron43.2230.2258.4OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.18CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 8055 Joules per run.
MinAvgMaxDynatron53.570.075.0OpenBenchmarking.orgCelsius, Fewer Is BetterCpuminer-Opt 3.18CPU Temperature Monitor20406080100

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.13.02Test: IO_uringDynatron30K60K90K120K150KSE +/- 1349.59, N = 3160020.991. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lsctp -lz -ldl -pthread -lc -latomic
MinAvgMaxDynatron43.2126.7167.8OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.13.02CPU Power Consumption Monitor501001502002501. Dynatron: Approximate power consumption of 4351 Joules per run.
MinAvgMaxDynatron53.857.559.8OpenBenchmarking.orgCelsius, Fewer Is BetterStress-NG 0.13.02CPU Temperature Monitor1632486480

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.13.02Test: NUMADynatron100200300400500SE +/- 4.96, N = 3477.691. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lsctp -lz -ldl -pthread -lc -latomic
MinAvgMaxDynatron43.0183.6219.0OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.13.02CPU Power Consumption Monitor601201802403001. Dynatron: Approximate power consumption of 6243 Joules per run.
MinAvgMaxDynatron53.367.876.8OpenBenchmarking.orgCelsius, Fewer Is BetterStress-NG 0.13.02CPU Temperature Monitor20406080100

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.13.02Test: MMAPDynatron160320480640800SE +/- 0.95, N = 3724.611. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lsctp -lz -ldl -pthread -lc -latomic
MinAvgMaxDynatron42.9215.4249.1OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.13.02CPU Power Consumption Monitor601201802403001. Dynatron: Approximate power consumption of 7395 Joules per run.
MinAvgMaxDynatron53.564.469.0OpenBenchmarking.orgCelsius, Fewer Is BetterStress-NG 0.13.02CPU Temperature Monitor20406080100

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.13.02Test: MallocDynatron200M400M600M800M1000MSE +/- 1784644.46, N = 31020690833.521. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lsctp -lz -ldl -pthread -lc -latomic
MinAvgMaxDynatron43.0253.1286.2OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.13.02CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 8690 Joules per run.
MinAvgMaxDynatron51.075.282.5OpenBenchmarking.orgCelsius, Fewer Is BetterStress-NG 0.13.02CPU Temperature Monitor20406080100

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.13.02Test: System V Message PassingDynatron1.6M3.2M4.8M6.4M8MSE +/- 21114.09, N = 37331749.141. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lsctp -lz -ldl -pthread -lc -latomic
MinAvgMaxDynatron43.2141.1157.8OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.13.02CPU Power Consumption Monitor40801201602001. Dynatron: Approximate power consumption of 4749 Joules per run.
MinAvgMaxDynatron55.561.667.5OpenBenchmarking.orgCelsius, Fewer Is BetterStress-NG 0.13.02CPU Temperature Monitor20406080100

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.13.02Test: Memory CopyingDynatron2K4K6K8K10KSE +/- 12.55, N = 39595.721. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lsctp -lz -ldl -pthread -lc -latomic
MinAvgMaxDynatron43.0232.8273.4OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.13.02CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 7993 Joules per run.
MinAvgMaxDynatron55.370.676.0OpenBenchmarking.orgCelsius, Fewer Is BetterStress-NG 0.13.02CPU Temperature Monitor20406080100

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.13.02Test: MEMFDDynatron30060090012001500SE +/- 0.46, N = 31181.551. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lsctp -lz -ldl -pthread -lc -latomic
MinAvgMaxDynatron43.3154.4170.1OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.13.02CPU Power Consumption Monitor501001502002501. Dynatron: Approximate power consumption of 5199 Joules per run.
MinAvgMaxDynatron56.063.365.3OpenBenchmarking.orgCelsius, Fewer Is BetterStress-NG 0.13.02CPU Temperature Monitor20406080100

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.13.02Test: Matrix MathDynatron30K60K90K120K150KSE +/- 44.66, N = 3131056.341. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lsctp -lz -ldl -pthread -lc -latomic
MinAvgMaxDynatron43.3222.3255.6OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.13.02CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 7557 Joules per run.
MinAvgMaxDynatron56.371.875.5OpenBenchmarking.orgCelsius, Fewer Is BetterStress-NG 0.13.02CPU Temperature Monitor20406080100

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.13.02Test: AtomicDynatron40K80K120K160K200KSE +/- 426.17, N = 3177489.561. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lsctp -lz -ldl -pthread -lc -latomic
MinAvgMaxDynatron43.2138.9153.2OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.13.02CPU Power Consumption Monitor40801201602001. Dynatron: Approximate power consumption of 4769 Joules per run.
MinAvgMaxDynatron55.860.161.5OpenBenchmarking.orgCelsius, Fewer Is BetterStress-NG 0.13.02CPU Temperature Monitor20406080100

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.13.02Test: ForkingDynatron16K32K48K64K80KSE +/- 362.21, N = 372849.141. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lsctp -lz -ldl -pthread -lc -latomic
MinAvgMaxDynatron43.2196.7219.0OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.13.02CPU Power Consumption Monitor601201802403001. Dynatron: Approximate power consumption of 6753 Joules per run.
MinAvgMaxDynatron55.367.671.3OpenBenchmarking.orgCelsius, Fewer Is BetterStress-NG 0.13.02CPU Temperature Monitor20406080100

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.13.02Test: Glibc Qsort Data SortingDynatron90180270360450SE +/- 0.70, N = 3435.251. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lsctp -lz -ldl -pthread -lc -latomic
MinAvgMaxDynatron43.3226.2253.5OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.13.02CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 7614 Joules per run.
MinAvgMaxDynatron55.076.081.5OpenBenchmarking.orgCelsius, Fewer Is BetterStress-NG 0.13.02CPU Temperature Monitor20406080100

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.13.02Test: CPU StressDynatron20K40K60K80K100KSE +/- 131.01, N = 390374.971. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lsctp -lz -ldl -pthread -lc -latomic
MinAvgMaxDynatron41.9250.1285.0OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.13.02CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 8503 Joules per run.
MinAvgMaxDynatron44.072.081.8OpenBenchmarking.orgCelsius, Fewer Is BetterStress-NG 0.13.02CPU Temperature Monitor20406080100

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.13.02Test: SENDFILEDynatron140K280K420K560K700KSE +/- 248.08, N = 3652468.951. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lsctp -lz -ldl -pthread -lc -latomic
MinAvgMaxDynatron42.4242.0284.2OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.13.02CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 8147 Joules per run.
MinAvgMaxDynatron49.075.182.5OpenBenchmarking.orgCelsius, Fewer Is BetterStress-NG 0.13.02CPU Temperature Monitor20406080100

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.13.02Test: Context SwitchingDynatron3M6M9M12M15MSE +/- 64805.00, N = 315232159.871. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lsctp -lz -ldl -pthread -lc -latomic
MinAvgMaxDynatron43.4241.4275.4OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.13.02CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 8128 Joules per run.
MinAvgMaxDynatron55.577.482.8OpenBenchmarking.orgCelsius, Fewer Is BetterStress-NG 0.13.02CPU Temperature Monitor20406080100

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.13.02Test: Socket ActivityDynatron4K8K12K16K20KSE +/- 25.35, N = 318740.681. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lsctp -lz -ldl -pthread -lc -latomic
MinAvgMaxDynatron42.8250.8284.2OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.13.02CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 8610 Joules per run.
MinAvgMaxDynatron51.072.980.3OpenBenchmarking.orgCelsius, Fewer Is BetterStress-NG 0.13.02CPU Temperature Monitor20406080100

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.13.02Test: SemaphoresDynatron1000K2000K3000K4000K5000KSE +/- 11632.59, N = 34846844.61. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lsctp -lz -ldl -pthread -lc -latomic
MinAvgMaxDynatron43.0127.0141.5OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.13.02CPU Power Consumption Monitor40801201602001. Dynatron: Approximate power consumption of 4318 Joules per run.
MinAvgMaxDynatron52.558.360.0OpenBenchmarking.orgCelsius, Fewer Is BetterStress-NG 0.13.02CPU Temperature Monitor1632486480

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.13.02Test: Vector MathDynatron40K80K120K160K200KSE +/- 4.88, N = 3194753.101. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lsctp -lz -ldl -pthread -lc -latomic
MinAvgMaxDynatron43.2253.4284.9OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.13.02CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 8532 Joules per run.
MinAvgMaxDynatron55.076.682.5OpenBenchmarking.orgCelsius, Fewer Is BetterStress-NG 0.13.02CPU Temperature Monitor20406080100

Intel Open Image Denoise

Open Image Denoise is a denoising library for ray-tracing and part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.hdr_alb_nrm.3840x2160Dynatron0.24750.4950.74250.991.2375SE +/- 0.00, N = 31.10
MinAvgMaxDynatron43.2179.0279.7OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 5668 Joules per run.
MinAvgMaxDynatron55.865.676.5OpenBenchmarking.orgCelsius, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Temperature Monitor20406080100

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.ldr_alb_nrm.3840x2160Dynatron0.24750.4950.74250.991.2375SE +/- 0.00, N = 31.10
MinAvgMaxDynatron43.0178.4279.3OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 5649 Joules per run.
MinAvgMaxDynatron53.063.773.3OpenBenchmarking.orgCelsius, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Temperature Monitor20406080100

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.9.2Video Input: Chimera 1080p 10-bitDynatron100200300400500SE +/- 0.83, N = 3460.81MIN: 351.09 / MAX: 615.381. (CC) gcc options: -pthread -lm
MinAvgMaxDynatron42.192.2112.2OpenBenchmarking.orgWatts, Fewer Is Betterdav1d 0.9.2CPU Power Consumption Monitor40801201602001. Dynatron: Approximate power consumption of 30176 Joules per run.
MinAvgMaxDynatron44.349.250.5OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.9.2CPU Temperature Monitor1428425670

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8.7Encoder Mode: Preset 4 - Input: Bosphorus 1080pDynatron246810SE +/- 0.048, N = 37.2581. (CXX) g++ options: -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie
MinAvgMaxDynatron42.7142.1214.3OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 0.8.7CPU Power Consumption Monitor601201802403001. Dynatron: Approximate power consumption of 3837 Joules per run.
MinAvgMaxDynatron51.358.371.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-AV1 0.8.7CPU Temperature Monitor20406080100

FLAC Audio Encoding

This test times how long it takes to encode a sample WAV file to FLAC format ten times. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterFLAC Audio Encoding 1.3.3WAV To FLACDynatron3691215SE +/- 0.01, N = 513.151. (CXX) g++ options: -fvisibility=hidden -logg -lm
MinAvgMaxDynatron42.077.190.0OpenBenchmarking.orgWatts, Fewer Is BetterFLAC Audio Encoding 1.3.3CPU Power Consumption Monitor204060801001. Dynatron: Approximate power consumption of 1310 Joules per run.
MinAvgMaxDynatron45.348.059.0OpenBenchmarking.orgCelsius, Fewer Is BetterFLAC Audio Encoding 1.3.3CPU Temperature Monitor1632486480

ASTC Encoder

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

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 3.2Preset: ExhaustiveDynatron48121620SE +/- 0.00, N = 317.931. (CXX) g++ options: -O3 -flto -pthread
MinAvgMaxDynatron42.2211.1279.2OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 3.2CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 5419 Joules per run.
MinAvgMaxDynatron46.566.175.8OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 3.2CPU Temperature Monitor20406080100

x265

This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KDynatron714212835SE +/- 0.03, N = 327.721. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
MinAvgMaxDynatron42.3182.0233.1OpenBenchmarking.orgWatts, Fewer Is Betterx265 3.4CPU Power Consumption Monitor601201802403001. Dynatron: Approximate power consumption of 4671 Joules per run.
MinAvgMaxDynatron48.363.374.8OpenBenchmarking.orgCelsius, Fewer Is Betterx265 3.4CPU Temperature Monitor20406080100

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 1080pDynatron714212835SE +/- 0.15, N = 328.331. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
MinAvgMaxDynatron42.5236.9347.7OpenBenchmarking.orgWatts, Fewer Is BetterSVT-HEVC 1.5.0CPU Power Consumption Monitor1002003004005001. Dynatron: Approximate power consumption of 5922 Joules per run.
MinAvgMaxDynatron49.870.780.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-HEVC 1.5.0CPU Temperature Monitor20406080100

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.9.2Video Input: Chimera 1080pDynatron120240360480600SE +/- 2.84, N = 3571.75MIN: 428.91 / MAX: 743.471. (CC) gcc options: -pthread -lm
MinAvgMaxDynatron42.191.6113.3OpenBenchmarking.orgWatts, Fewer Is Betterdav1d 0.9.2CPU Power Consumption Monitor40801201602001. Dynatron: Approximate power consumption of 29721 Joules per run.
MinAvgMaxDynatron46.059.262.5OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.9.2CPU Temperature Monitor20406080100

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: MobileNet v2Dynatron60120180240300SE +/- 0.30, N = 3293.80MIN: 288.55 / MAX: 331.351. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
MinAvgMaxDynatron42.490.1102.9OpenBenchmarking.orgWatts, Fewer Is BetterTNN 0.3CPU Power Consumption Monitor204060801001. Dynatron: Approximate power consumption of 2223 Joules per run.
MinAvgMaxDynatron47.852.662.8OpenBenchmarking.orgCelsius, Fewer Is BetterTNN 0.3CPU Temperature Monitor20406080100

JPEG XL libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance using the reference libjxl library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.5Input: PNG - Encode Speed: 5Dynatron1530456075SE +/- 0.33, N = 367.211. (CXX) g++ options: -funwind-tables -O3 -O2 -pthread -fPIE -pie
MinAvgMaxDynatron42.4136.0164.7OpenBenchmarking.orgWatts, Fewer Is BetterJPEG XL libjxl 0.5CPU Power Consumption Monitor501001502002501. Dynatron: Approximate power consumption of 3310 Joules per run.
MinAvgMaxDynatron44.555.064.8OpenBenchmarking.orgCelsius, Fewer Is BetterJPEG XL libjxl 0.5CPU Temperature Monitor20406080100

Timed FFmpeg Compilation

This test times how long it takes to build the FFmpeg multimedia library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.4Time To CompileDynatron510152025SE +/- 0.04, N = 319.75
MinAvgMaxDynatron42.7172.5278.6OpenBenchmarking.orgWatts, Fewer Is BetterTimed FFmpeg Compilation 4.4CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 4542 Joules per run.
MinAvgMaxDynatron48.363.373.8OpenBenchmarking.orgCelsius, Fewer Is BetterTimed FFmpeg Compilation 4.4CPU Temperature Monitor20406080100

JPEG XL libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance using the reference libjxl library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.5Input: JPEG - Encode Speed: 7Dynatron1632486480SE +/- 0.13, N = 474.131. (CXX) g++ options: -funwind-tables -O3 -O2 -pthread -fPIE -pie
MinAvgMaxDynatron42.293.7111.4OpenBenchmarking.orgWatts, Fewer Is BetterJPEG XL libjxl 0.5CPU Power Consumption Monitor204060801001. Dynatron: Approximate power consumption of 1757 Joules per run.
MinAvgMaxDynatron47.355.563.3OpenBenchmarking.orgCelsius, Fewer Is BetterJPEG XL libjxl 0.5CPU Temperature Monitor20406080100

VP9 libvpx Encoding

This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9 video format. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.10.0Speed: Speed 5 - Input: Bosphorus 1080pDynatron714212835SE +/- 0.11, N = 331.291. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11
MinAvgMaxDynatron43.0111.6131.1OpenBenchmarking.orgWatts, Fewer Is BetterVP9 libvpx Encoding 1.10.0CPU Power Consumption Monitor40801201602001. Dynatron: Approximate power consumption of 2641 Joules per run.
MinAvgMaxDynatron54.057.260.0OpenBenchmarking.orgCelsius, Fewer Is BetterVP9 libvpx Encoding 1.10.0CPU Temperature Monitor1632486480

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.1Video Input: Bosphorus 1080p - Video Preset: SlowDynatron714212835SE +/- 0.08, N = 331.121. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxDynatron42.6101.8122.1OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.1CPU Power Consumption Monitor40801201602001. Dynatron: Approximate power consumption of 2341 Joules per run.
MinAvgMaxDynatron50.353.865.3OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.1CPU Temperature Monitor20406080100

Timed Mesa Compilation

This test profile times how long it takes to compile Mesa with Meson/Ninja. For minimizing build dependencies and avoid versioning conflicts, test this is just the core Mesa build without LLVM or the extra Gallium3D/Mesa drivers enabled. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Mesa Compilation 21.0Time To CompileDynatron510152025SE +/- 0.02, N = 319.25
MinAvgMaxDynatron43.4171.7284.4OpenBenchmarking.orgWatts, Fewer Is BetterTimed Mesa Compilation 21.0CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 4235 Joules per run.
MinAvgMaxDynatron55.567.476.5OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Mesa Compilation 21.0CPU Temperature Monitor20406080100

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.1Video Input: Bosphorus 1080p - Video Preset: MediumDynatron714212835SE +/- 0.11, N = 332.051. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxDynatron42.4100.7120.4OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.1CPU Power Consumption Monitor40801201602001. Dynatron: Approximate power consumption of 2316 Joules per run.
MinAvgMaxDynatron47.851.759.8OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.1CPU Temperature Monitor1632486480

JPEG XL libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance using the reference libjxl library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.5Input: JPEG - Encode Speed: 5Dynatron20406080100SE +/- 0.16, N = 375.281. (CXX) g++ options: -funwind-tables -O3 -O2 -pthread -fPIE -pie
MinAvgMaxDynatron42.596.3112.3OpenBenchmarking.orgWatts, Fewer Is BetterJPEG XL libjxl 0.5CPU Power Consumption Monitor40801201602001. Dynatron: Approximate power consumption of 2120 Joules per run.
MinAvgMaxDynatron49.858.766.0OpenBenchmarking.orgCelsius, Fewer Is BetterJPEG XL libjxl 0.5CPU Temperature Monitor20406080100

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v1.1Dynatron50100150200250SE +/- 0.03, N = 3251.44MIN: 251.28 / MAX: 251.871. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
MinAvgMaxDynatron42.178.488.2OpenBenchmarking.orgWatts, Fewer Is BetterTNN 0.3CPU Power Consumption Monitor204060801001. Dynatron: Approximate power consumption of 1698 Joules per run.
MinAvgMaxDynatron46.048.149.3OpenBenchmarking.orgCelsius, Fewer Is BetterTNN 0.3CPU Temperature Monitor1428425670

Timed Apache Compilation

This test times how long it takes to build the Apache HTTPD web server. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileDynatron48121620SE +/- 0.01, N = 317.33
MinAvgMaxDynatron42.699.2184.6OpenBenchmarking.orgWatts, Fewer Is BetterTimed Apache Compilation 2.4.41CPU Power Consumption Monitor501001502002501. Dynatron: Approximate power consumption of 2710 Joules per run.
MinAvgMaxDynatron50.555.665.8OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Apache Compilation 2.4.41CPU Temperature Monitor20406080100

JPEG XL libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance using the reference libjxl library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.5Input: JPEG - Encode Speed: 8Dynatron714212835SE +/- 0.05, N = 528.681. (CXX) g++ options: -funwind-tables -O3 -O2 -pthread -fPIE -pie
MinAvgMaxDynatron42.178.897.5OpenBenchmarking.orgWatts, Fewer Is BetterJPEG XL libjxl 0.5CPU Power Consumption Monitor204060801001. Dynatron: Approximate power consumption of 1135 Joules per run.
MinAvgMaxDynatron46.054.365.5OpenBenchmarking.orgCelsius, Fewer Is BetterJPEG XL libjxl 0.5CPU Temperature Monitor20406080100

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.1Video Input: Bosphorus 4K - Video Preset: Ultra FastDynatron1326395265SE +/- 0.13, N = 559.731. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxDynatron42.9174.3247.8OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.1CPU Power Consumption Monitor601201802403001. Dynatron: Approximate power consumption of 2440 Joules per run.
MinAvgMaxDynatron53.564.774.8OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.1CPU Temperature Monitor20406080100

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.1Video Input: Bosphorus 1080p - Video Preset: Very FastDynatron1326395265SE +/- 0.17, N = 559.691. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxDynatron42.287.8111.3OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.1CPU Power Consumption Monitor204060801001. Dynatron: Approximate power consumption of 1247 Joules per run.
MinAvgMaxDynatron47.049.352.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.1CPU Temperature Monitor1530456075

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.1Video Input: Bosphorus 4K - Video Preset: Very FastDynatron816243240SE +/- 0.07, N = 335.851. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxDynatron42.8195.1247.3OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.1CPU Power Consumption Monitor601201802403001. Dynatron: Approximate power consumption of 4098 Joules per run.
MinAvgMaxDynatron54.367.577.5OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.1CPU Temperature Monitor20406080100

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CDynatron7001400210028003500SE +/- 26.84, N = 153118.321. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.0
MinAvgMaxDynatron43.0125.6254.0OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 904 Joules per run.
MinAvgMaxDynatron53.561.475.8OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature Monitor20406080100

ASTC Encoder

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

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 3.2Preset: ThoroughDynatron1.32492.64983.97475.29966.6245SE +/- 0.0028, N = 75.88831. (CXX) g++ options: -O3 -flto -pthread
MinAvgMaxDynatron42.4107.3279.4OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 3.2CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 1073 Joules per run.
MinAvgMaxDynatron46.352.363.8OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 3.2CPU Temperature Monitor20406080100

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.1Video Input: Bosphorus 1080p - Video Preset: Ultra FastDynatron306090120150SE +/- 0.35, N = 8127.831. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxDynatron42.2101.7154.9OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.1CPU Power Consumption Monitor40801201602001. Dynatron: Approximate power consumption of 890 Joules per run.
MinAvgMaxDynatron46.050.254.5OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.1CPU Temperature Monitor1530456075

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8.7Encoder Mode: Preset 8 - Input: Bosphorus 1080pDynatron306090120150SE +/- 0.45, N = 7133.601. (CXX) g++ options: -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie
MinAvgMaxDynatron42.8134.3238.9OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 0.8.7CPU Power Consumption Monitor601201802403001. Dynatron: Approximate power consumption of 1228 Joules per run.
MinAvgMaxDynatron51.057.970.5OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-AV1 0.8.7CPU Temperature Monitor20406080100

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v2Dynatron1428425670SE +/- 0.09, N = 862.14MIN: 61.61 / MAX: 66.271. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
MinAvgMaxDynatron41.965.986.7OpenBenchmarking.orgWatts, Fewer Is BetterTNN 0.3CPU Power Consumption Monitor204060801001. Dynatron: Approximate power consumption of 561 Joules per run.
MinAvgMaxDynatron44.045.547.3OpenBenchmarking.orgCelsius, Fewer Is BetterTNN 0.3CPU Temperature Monitor1428425670

ECP-CANDLE

The CANDLE benchmark codes implement deep learning architectures relevant to problems in cancer. These architectures address problems at different biological scales, specifically problems at the molecular, cellular and population scales. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterECP-CANDLE 0.4Benchmark: P1B2Dynatron81624324032.82
MinAvgMaxDynatron42.895.2160.3OpenBenchmarking.orgWatts, Fewer Is BetterECP-CANDLE 0.4CPU Power Consumption Monitor50100150200250
MinAvgMaxDynatron53.054.557.5OpenBenchmarking.orgCelsius, Fewer Is BetterECP-CANDLE 0.4CPU Temperature Monitor1632486480

ASTC Encoder

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

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 3.2Preset: MediumDynatron0.8111.6222.4333.2444.055SE +/- 0.0011, N = 93.60441. (CXX) g++ options: -O3 -flto -pthread
MinAvgMaxDynatron42.572.4148.0OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 3.2CPU Power Consumption Monitor40801201602001. Dynatron: Approximate power consumption of 555 Joules per run.
MinAvgMaxDynatron47.851.663.5OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 3.2CPU Temperature Monitor20406080100

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 1080pDynatron90180270360450SE +/- 5.54, N = 15394.731. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
MinAvgMaxDynatron42.2102.1272.4OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 626 Joules per run.
MinAvgMaxDynatron46.351.463.5OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-VP9 0.3CPU Temperature Monitor20406080100

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.9.2Video Input: Summer Nature 4KDynatron90180270360450SE +/- 2.68, N = 3438.20MIN: 294.62 / MAX: 512.081. (CC) gcc options: -pthread -lm
MinAvgMaxDynatron42.1121.6254.8OpenBenchmarking.orgWatts, Fewer Is Betterdav1d 0.9.2CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 3809 Joules per run.
MinAvgMaxDynatron44.359.365.5OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.9.2CPU Temperature Monitor20406080100

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080pDynatron80160240320400SE +/- 0.46, N = 11345.451. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
MinAvgMaxDynatron42.8112.3281.7OpenBenchmarking.orgWatts, Fewer Is BetterSVT-HEVC 1.5.0CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 704 Joules per run.
MinAvgMaxDynatron52.057.068.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-HEVC 1.5.0CPU Temperature Monitor20406080100

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.9.2Video Input: Summer Nature 1080pDynatron120240360480600SE +/- 2.16, N = 3549.44MIN: 435.1 / MAX: 622.141. (CC) gcc options: -pthread -lm
MinAvgMaxDynatron41.990.2110.5OpenBenchmarking.orgWatts, Fewer Is Betterdav1d 0.9.2CPU Power Consumption Monitor204060801001. Dynatron: Approximate power consumption of 2795 Joules per run.
MinAvgMaxDynatron44.354.661.0OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.9.2CPU Temperature Monitor20406080100

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pDynatron110220330440550SE +/- 0.91, N = 11507.371. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
MinAvgMaxDynatron42.392.2267.5OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 528 Joules per run.
MinAvgMaxDynatron46.350.062.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-VP9 0.3CPU Temperature Monitor20406080100

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080pDynatron110220330440550SE +/- 1.34, N = 11512.361. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
MinAvgMaxDynatron42.192.9262.6OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor701402102803501. Dynatron: Approximate power consumption of 540 Joules per run.
MinAvgMaxDynatron45.549.360.8OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-VP9 0.3CPU Temperature Monitor20406080100

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 1080pDynatron140280420560700SE +/- 0.78, N = 12655.271. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
MinAvgMaxDynatron42.485.7250.1OpenBenchmarking.orgWatts, Fewer Is BetterSVT-HEVC 1.5.0CPU Power Consumption Monitor601201802403001. Dynatron: Approximate power consumption of 457 Joules per run.
MinAvgMaxDynatron48.051.363.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-HEVC 1.5.0CPU Temperature Monitor20406080100

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

Test: RdRand

Dynatron: stress-ng: error: [750084] No stress workers invoked (one or more were unsupported)

192 Results Shown

OpenSSL
OpenVKL:
  vklBenchmark Scalar
  vklBenchmark ISPC
Timed GCC Compilation
BRL-CAD
PostgreSQL pgbench:
  100 - 50 - Read Write - Average Latency
  100 - 50 - Read Write
asmFish
PostgreSQL pgbench:
  1 - 500 - Read Write - Average Latency
  1 - 500 - Read Write
  1 - 250 - Read Write - Average Latency
  1 - 250 - Read Write
Apache HTTP Server
LeelaChessZero:
  BLAS
  Eigen
ECP-CANDLE
JPEG XL libjxl
OpenSSL:
  RSA4096:
    verify/s
    sign/s
NCNN:
  CPU - regnety_400m
  CPU - squeezenet_ssd
  CPU - yolov4-tiny
  CPU - resnet50
  CPU - alexnet
  CPU - resnet18
  CPU - vgg16
  CPU - googlenet
  CPU - blazeface
  CPU - efficientnet-b0
  CPU - mnasnet
  CPU - shufflenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU-v2-v2 - mobilenet-v2
  CPU - mobilenet
Timed LLVM Compilation
NAS Parallel Benchmarks
TNN
Timed LLVM Compilation
ECP-CANDLE
Cpuminer-Opt:
  Skeincoin
  Myriad-Groestl
Stress-NG:
  Crypto
  CPU Cache
  Glibc C String Functions
PostgreSQL pgbench:
  100 - 500 - Read Write - Average Latency
  100 - 500 - Read Write
  100 - 250 - Read Write - Average Latency
  100 - 250 - Read Write
  100 - 500 - Read Only - Average Latency
  100 - 500 - Read Only
  100 - 1 - Read Write - Average Latency
  100 - 1 - Read Write
  100 - 250 - Read Only - Average Latency
  100 - 250 - Read Only
  100 - 100 - Read Write - Average Latency
  100 - 100 - Read Write
  100 - 100 - Read Only - Average Latency
  100 - 100 - Read Only
  100 - 1 - Read Only - Average Latency
  100 - 1 - Read Only
  100 - 50 - Read Only - Average Latency
  100 - 50 - Read Only
  1 - 100 - Read Write - Average Latency
  1 - 100 - Read Write
  1 - 500 - Read Only - Average Latency
  1 - 500 - Read Only
  1 - 250 - Read Only - Average Latency
  1 - 250 - Read Only
  1 - 50 - Read Write - Average Latency
  1 - 50 - Read Write
  1 - 1 - Read Write - Average Latency
  1 - 1 - Read Write
  1 - 1 - Read Only - Average Latency
  1 - 1 - Read Only
  1 - 100 - Read Only - Average Latency
  1 - 100 - Read Only
  1 - 50 - Read Only - Average Latency
  1 - 50 - Read Only
Apache Cassandra
Timed Node.js Compilation
Cpuminer-Opt:
  Quad SHA-256, Pyrite
  Ringcoin
  LBC, LBRY Credits
  Magi
  Blake-2 S
  Deepcoin
Stockfish
JPEG XL libjxl
Natron
Tachyon
Apache HTTP Server
SVT-AV1
Apache HTTP Server
nginx:
  500
  100
  1000
  200
  1
Apache HTTP Server
nginx
Apache HTTP Server:
  100
  20
Mobile Neural Network:
  inception-v3
  mobilenet-v1-1.0
  MobileNetV2_224
  SqueezeNetV1.0
  resnet-v2-50
  squeezenetv1.1
  mobilenetV3
VP9 libvpx Encoding
Cpuminer-Opt
simdjson:
  PartialTweets
  DistinctUserID
Facebook RocksDB:
  Seq Fill
  Rand Fill Sync
  Rand Fill
  Update Rand
  Read Rand Write Rand
  Read While Writing
  Rand Read
x265
simdjson
Intel Open Image Denoise
SVT-AV1
simdjson
JPEG XL Decoding libjxl
Timed Godot Game Engine Compilation
Timed GDB GNU Debugger Compilation
VP9 libvpx Encoding
Timed Linux Kernel Compilation
VP9 libvpx Encoding
JPEG XL Decoding libjxl
Kvazaar
NAS Parallel Benchmarks
Kvazaar
Cpuminer-Opt:
  x25x
  Garlicoin
Stress-NG:
  IO_uring
  NUMA
  MMAP
  Malloc
  System V Message Passing
  Memory Copying
  MEMFD
  Matrix Math
  Atomic
  Forking
  Glibc Qsort Data Sorting
  CPU Stress
  SENDFILE
  Context Switching
  Socket Activity
  Semaphores
  Vector Math
Intel Open Image Denoise:
  RT.hdr_alb_nrm.3840x2160
  RT.ldr_alb_nrm.3840x2160
dav1d
SVT-AV1
FLAC Audio Encoding
ASTC Encoder
x265
SVT-HEVC
dav1d
TNN
JPEG XL libjxl
Timed FFmpeg Compilation
JPEG XL libjxl
VP9 libvpx Encoding
Kvazaar
Timed Mesa Compilation
Kvazaar
JPEG XL libjxl
TNN
Timed Apache Compilation
JPEG XL libjxl
Kvazaar:
  Bosphorus 4K - Ultra Fast
  Bosphorus 1080p - Very Fast
  Bosphorus 4K - Very Fast
NAS Parallel Benchmarks
ASTC Encoder
Kvazaar
SVT-AV1
TNN
ECP-CANDLE
ASTC Encoder
SVT-VP9
dav1d
SVT-HEVC
dav1d
SVT-VP9:
  PSNR/SSIM Optimized - Bosphorus 1080p
  VMAF Optimized - Bosphorus 1080p
SVT-HEVC

Dynatron

Processor: AMD EPYC 75F3 32-Core @ 2.95GHz (32 Cores / 64 Threads), Motherboard: ASRockRack ROME2D16-2T (P3.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 8 x GB DDR4-3200MT/s HMA81GR7CJR8N-XN, Disk: 1000GB Western Digital WD_BLACK SN850 1TB, Graphics: ASPEED, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel 10G X550T

OS: Ubuntu 21.10, Kernel: 5.13.0-19-generic (x86_64), Desktop: GNOME Shell 40.5, Display Server: X Server, Vulkan: 1.1.182, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa001114
Java Notes: OpenJDK Runtime Environment (build 11.0.12+7-Ubuntu-0ubuntu3)
Python Notes: Python 3.9.7
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 15 October 2021 09:14 by user root.