AVX-512 Analysis

AMD Ryzen 7 7840U testing with a PHX Ray_PEU (V1.04 BIOS) and AMD Phoenix1 512MB on Ubuntu 23.04 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 2307079-NE-AVX512ANA28
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
AVX512 On
July 06 2023
  8 Hours, 42 Minutes
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AVX512 On

Processor: AMD Ryzen 7 7840U @ 3.30GHz (8 Cores / 16 Threads), Motherboard: PHX Ray_PEU (V1.04 BIOS), Chipset: AMD Device 14e8, Memory: 16GB, Disk: 1024GB Micron_3400_MTFDKBA1T0TFH, Graphics: AMD Phoenix1 512MB (2700/400MHz), Audio: AMD Rembrandt Radeon HD Audio, Network: MEDIATEK MT7922 802.11ax PCI

OS: Ubuntu 23.04, Kernel: 6.2.0-24-generic (x86_64), Desktop: KDE Plasma 5.27.4, Display Server: X Server 1.21.1.7, OpenGL: 4.6 Mesa 23.0.2 (LLVM 15.0.7 DRM 3.49), Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 3200x2000

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-Pa930Z/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-Pa930Z/gcc-12-12.2.0/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-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: 0xa704101
Python Notes: Python 3.11.2
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

AVX-512 AnalysisOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 7 7840U @ 3.30GHz (8 Cores / 16 Threads)PHX Ray_PEU (V1.04 BIOS)AMD Device 14e816GB1024GB Micron_3400_MTFDKBA1T0TFHAMD Phoenix1 512MB (2700/400MHz)AMD Rembrandt Radeon HD AudioMEDIATEK MT7922 802.11ax PCIUbuntu 23.046.2.0-24-generic (x86_64)KDE Plasma 5.27.4X Server 1.21.1.74.6 Mesa 23.0.2 (LLVM 15.0.7 DRM 3.49)GCC 12.2.0ext43200x2000ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionAVX-512 Analysis PerformanceSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-Pa930Z/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-Pa930Z/gcc-12-12.2.0/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-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: 0xa704101 - Python 3.11.2- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

AVX-512 Analysistensorflow: CPU - 64 - GoogLeNettensorflow: CPU - 64 - AlexNettensorflow: CPU - 64 - ResNet-50tensorflow: CPU - 16 - GoogLeNettensorflow: CPU - 16 - AlexNettensorflow: CPU - 16 - ResNet-50libxsmm: 64smhasher: FarmHash32 x86_64 AVXminibude: OpenMP - BM1minibude: OpenMP - BM1openvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUcpuminer-opt: LBC, LBRY Creditscpuminer-opt: Skeincoincpuminer-opt: Garlicoincpuminer-opt: x25xcpuminer-opt: Blake-2 Scpuminer-opt: Magicpuminer-opt: Myriad-Groestlcpuminer-opt: Quad SHA-256, Pyritecpuminer-opt: scryptonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUospray-studio: 3 - 4K - 32 - Path Tracerospray-studio: 3 - 4K - 1 - Path Tracerospray-studio: 3 - 1080p - 32 - Path Tracerospray-studio: 3 - 1080p - 1 - Path Tracerospray-studio: 1 - 4K - 32 - Path Tracerospray-studio: 1 - 4K - 1 - Path Tracerospray-studio: 1 - 1080p - 32 - Path Tracerospray-studio: 1 - 1080p - 1 - Path Tracerospray: particle_volume/pathtracer/real_timeospray: gravity_spheres_volume/dim_512/pathtracer/real_timeospray: gravity_spheres_volume/dim_512/scivis/real_timeospray: gravity_spheres_volume/dim_512/ao/real_timeoidn: RTLightmap.hdr.4096x4096 - CPU-Onlyoidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlyoidn: RT.hdr_alb_nrm.3840x2160 - CPU-Onlyopenvkl: vklBenchmark ISPCsimdjson: TopTweetsimdjson: DistinctUserIDsimdjson: Kostyasimdjson: LargeRandsimdjson: PartialTweetsembree: Pathtracer ISPC - Crownembree: Pathtracer ISPC - Asian Dragon Objembree: Pathtracer ISPC - Asian Dragonlczero: Eigensmhasher: FarmHash32 x86_64 AVXopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUAVX512 On48.14114.8116.7555.1280.0117.93168.440035.1516.322408.057104.3538.3211.12359.1221.52185.8310.07396.5611.30353.2511.76678.092108.541.892097.521.901.335958.160.819779.57599.116.6744517818592955.63396.50564430369.972823396877175.302234.124281.310.9372571.586661.40812614869187031545094801511935153241292963869105.3552.636442.110432.150930.130.270.271128.678.785.061.577.518.05238.608110.003356726.3911160.983.46OpenBenchmarking.org

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: GoogLeNetAVX512 On1122334455SE +/- 0.48, N = 648.14
MinAvgMaxAVX512 On139724705115OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow 2.12CPU Peak Freq (Highest CPU Core Frequency) Monitor13002600390052006500
MinAvgMaxAVX512 On2.315.218.6OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor6121824301. AVX512 On: Approximate power consumption of 2307 Joules per run.
MinAvgMaxAVX512 On51.864.481.4OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature Monitor20406080100

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: AlexNetAVX512 On306090120150SE +/- 0.24, N = 3114.81
MinAvgMaxAVX512 On160028515114OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow 2.12CPU Peak Freq (Highest CPU Core Frequency) Monitor13002600390052006500
MinAvgMaxAVX512 On2.315.419.0OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor6121824301. AVX512 On: Approximate power consumption of 1038 Joules per run.
MinAvgMaxAVX512 On52.064.075.5OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature Monitor20406080100

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: ResNet-50AVX512 On48121620SE +/- 0.18, N = 916.75
OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow 2.12CPU Peak Freq (Highest CPU Core Frequency) MonitorAVX512 On9001800270036004500Min: 1397 / Avg: 2438.7 / Max: 5115
OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption MonitorAVX512 On510152025Min: 2.44 / Avg: 15.45 / Max: 21.81. AVX512 On: Approximate power consumption of 6575 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature MonitorAVX512 On1632486480Min: 53.25 / Avg: 64.91 / Max: 85.25

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: GoogLeNetAVX512 On1224364860SE +/- 0.09, N = 355.12
MinAvgMaxAVX512 On160030345115OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow 2.12CPU Peak Freq (Highest CPU Core Frequency) Monitor13002600390052006500
MinAvgMaxAVX512 On1.217.722.0OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor6121824301. AVX512 On: Approximate power consumption of 680 Joules per run.
MinAvgMaxAVX512 On52.167.982.8OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature Monitor20406080100

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: AlexNetAVX512 On20406080100SE +/- 0.35, N = 380.01
MinAvgMaxAVX512 On160033525059OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow 2.12CPU Peak Freq (Highest CPU Core Frequency) Monitor13002600390052006500
MinAvgMaxAVX512 On2.416.121.7OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor6121824301. AVX512 On: Approximate power consumption of 452 Joules per run.
MinAvgMaxAVX512 On53.665.776.5OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature Monitor20406080100

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: ResNet-50AVX512 On48121620SE +/- 0.05, N = 317.93
MinAvgMaxAVX512 On160028455115OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow 2.12CPU Peak Freq (Highest CPU Core Frequency) Monitor13002600390052006500
MinAvgMaxAVX512 On2.417.319.4OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor6121824301. AVX512 On: Approximate power consumption of 1827 Joules per run.
MinAvgMaxAVX512 On53.668.385.6OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow 2.12CPU Temperature Monitor20406080100

libxsmm

Libxsmm is an open-source library for specialized dense and sparse matrix operations and deep learning primitives. Libxsmm supports making use of Intel AMX, AVX-512, and other modern CPU instruction set capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 64AVX512 On4080120160200SE +/- 0.44, N = 3168.41. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -pedantic -O2 -fopenmp -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -march=core-avx2
MinAvgMaxAVX512 On160028504426OpenBenchmarking.orgMegahertz, More Is Betterlibxsmm 2-1.17-3645CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxAVX512 On1.717.925.9OpenBenchmarking.orgWatts, Fewer Is Betterlibxsmm 2-1.17-3645CPU Power Consumption Monitor8162432401. AVX512 On: Approximate power consumption of 1292 Joules per run.
MinAvgMaxAVX512 On55.668.571.0OpenBenchmarking.orgCelsius, Fewer Is Betterlibxsmm 2-1.17-3645CPU Temperature Monitor20406080100

SMHasher

SMHasher is a hash function tester supporting various algorithms and able to make use of AVX and other modern CPU instruction set extensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: FarmHash32 x86_64 AVXAVX512 On9K18K27K36K45KSE +/- 43.29, N = 640035.151. (CXX) g++ options: -march=native -O3 -flto=auto -fno-fat-lto-objects
OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2022-08-22Hash: FarmHash32 x86_64 AVXAVX512 On612182430SE +/- 0.00, N = 626.391. (CXX) g++ options: -march=native -O3 -flto=auto -fno-fat-lto-objects

miniBUDE

MiniBUDE is a mini application for the the core computation of the Bristol University Docking Engine (BUDE). This test profile currently makes use of the OpenMP implementation of miniBUDE for CPU benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1AVX512 On48121620SE +/- 0.08, N = 316.321. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
MinAvgMaxAVX512 On160030014171OpenBenchmarking.orgMegahertz, More Is BetterminiBUDE 20210901CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxAVX512 On2.317.923.9OpenBenchmarking.orgWatts, Fewer Is BetterminiBUDE 20210901CPU Power Consumption Monitor8162432401. AVX512 On: Approximate power consumption of 954 Joules per run.
MinAvgMaxAVX512 On52.666.970.3OpenBenchmarking.orgCelsius, Fewer Is BetterminiBUDE 20210901CPU Temperature Monitor20406080100

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1AVX512 On90180270360450SE +/- 2.08, N = 3408.061. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPUAVX512 On20406080100SE +/- 0.32, N = 3104.35MIN: 80.05 / MAX: 143.061. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
MinAvgMaxAVX512 On160025875039OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor13002600390052006500
MinAvgMaxAVX512 On2.316.723.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor8162432401. AVX512 On: Approximate power consumption of 1083 Joules per run.
MinAvgMaxAVX512 On52.165.772.1OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor20406080100

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPUAVX512 On918273645SE +/- 0.12, N = 338.321. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPUAVX512 On3691215SE +/- 0.10, N = 311.12MIN: 7.56 / MAX: 31.911. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
MinAvgMaxAVX512 On160025113698OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxAVX512 On2.315.923.6OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor8162432401. AVX512 On: Approximate power consumption of 1031 Joules per run.
MinAvgMaxAVX512 On52.064.569.4OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor20406080100

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPUAVX512 On80160240320400SE +/- 3.04, N = 3359.121. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPUAVX512 On510152025SE +/- 0.14, N = 1321.52MIN: 12.55 / MAX: 53.71. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
MinAvgMaxAVX512 On139724554287OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxAVX512 On2.515.124.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor8162432401. AVX512 On: Approximate power consumption of 963 Joules per run.
MinAvgMaxAVX512 On53.964.368.5OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor20406080100

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPUAVX512 On4080120160200SE +/- 1.28, N = 13185.831. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPUAVX512 On3691215SE +/- 0.11, N = 310.07MIN: 7.2 / MAX: 16.91. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
MinAvgMaxAVX512 On160025935098OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor13002600390052006500
MinAvgMaxAVX512 On2.417.527.4OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor8162432401. AVX512 On: Approximate power consumption of 1124 Joules per run.
MinAvgMaxAVX512 On53.067.870.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor20406080100

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPUAVX512 On90180270360450SE +/- 4.54, N = 3396.561. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPUAVX512 On3691215SE +/- 0.09, N = 311.30MIN: 8.17 / MAX: 35.221. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
MinAvgMaxAVX512 On160025563454OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxAVX512 On2.517.524.5OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor8162432401. AVX512 On: Approximate power consumption of 1134 Joules per run.
MinAvgMaxAVX512 On53.468.069.9OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor20406080100

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPUAVX512 On80160240320400SE +/- 2.89, N = 3353.251. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUAVX512 On3691215SE +/- 0.05, N = 311.76MIN: 8.35 / MAX: 28.931. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
MinAvgMaxAVX512 On139724823493OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxAVX512 On2.317.024.8OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor8162432401. AVX512 On: Approximate power consumption of 1090 Joules per run.
MinAvgMaxAVX512 On52.666.668.9OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor20406080100

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUAVX512 On150300450600750SE +/- 3.04, N = 3678.091. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPUAVX512 On5001000150020002500SE +/- 12.82, N = 32108.54MIN: 1830.34 / MAX: 2271.241. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
MinAvgMaxAVX512 On139725595054OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor13002600390052006500
MinAvgMaxAVX512 On1.616.722.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor6121824301. AVX512 On: Approximate power consumption of 1159 Joules per run.
MinAvgMaxAVX512 On53.367.577.9OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor20406080100

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPUAVX512 On0.42530.85061.27591.70122.1265SE +/- 0.01, N = 31.891. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPUAVX512 On5001000150020002500SE +/- 24.95, N = 32097.52MIN: 1871.5 / MAX: 2241.541. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
MinAvgMaxAVX512 On160026035090OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor13002600390052006500
MinAvgMaxAVX512 On2.417.023.4OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor8162432401. AVX512 On: Approximate power consumption of 1164 Joules per run.
MinAvgMaxAVX512 On53.068.078.3OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor20406080100

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPUAVX512 On0.42750.8551.28251.712.1375SE +/- 0.02, N = 31.901. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUAVX512 On0.29930.59860.89791.19721.4965SE +/- 0.01, N = 31.33MIN: 0.76 / MAX: 18.191. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
MinAvgMaxAVX512 On160024893693OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxAVX512 On1.417.026.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor8162432401. AVX512 On: Approximate power consumption of 1092 Joules per run.
MinAvgMaxAVX512 On53.166.368.6OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor20406080100

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUAVX512 On13002600390052006500SE +/- 34.47, N = 35958.161. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUAVX512 On0.18230.36460.54690.72920.9115SE +/- 0.01, N = 30.81MIN: 0.43 / MAX: 30.361. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
MinAvgMaxAVX512 On160023903392OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxAVX512 On2.316.822.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor6121824301. AVX512 On: Approximate power consumption of 1074 Joules per run.
MinAvgMaxAVX512 On52.465.968.1OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor20406080100

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUAVX512 On2K4K6K8K10KSE +/- 60.96, N = 39779.571. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPUAVX512 On130260390520650SE +/- 4.29, N = 3599.11MIN: 573.64 / MAX: 654.621. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
MinAvgMaxAVX512 On160025045114OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor13002600390052006500
MinAvgMaxAVX512 On2.416.322.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor6121824301. AVX512 On: Approximate power consumption of 1086 Joules per run.
MinAvgMaxAVX512 On52.466.278.4OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor20406080100

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPUAVX512 On246810SE +/- 0.05, N = 36.671. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

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 3.20.3Algorithm: LBC, LBRY CreditsAVX512 On10K20K30K40K50KSE +/- 469.41, N = 3445171. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
MinAvgMaxAVX512 On139830873627OpenBenchmarking.orgMegahertz, More Is BetterCpuminer-Opt 3.20.3CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxAVX512 On2.420.130.0OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.20.3CPU Power Consumption Monitor9182736451. AVX512 On: Approximate power consumption of 683 Joules per run.
MinAvgMaxAVX512 On55.171.875.6OpenBenchmarking.orgCelsius, Fewer Is BetterCpuminer-Opt 3.20.3CPU Temperature Monitor20406080100

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: SkeincoinAVX512 On20K40K60K80K100KSE +/- 607.98, N = 15818591. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
MinAvgMaxAVX512 On160030844682OpenBenchmarking.orgMegahertz, More Is BetterCpuminer-Opt 3.20.3CPU Peak Freq (Highest CPU Core Frequency) Monitor12002400360048006000
MinAvgMaxAVX512 On2.520.730.1OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.20.3CPU Power Consumption Monitor9182736451. AVX512 On: Approximate power consumption of 701 Joules per run.
MinAvgMaxAVX512 On55.174.478.1OpenBenchmarking.orgCelsius, Fewer Is BetterCpuminer-Opt 3.20.3CPU Temperature Monitor20406080100

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: GarlicoinAVX512 On6001200180024003000SE +/- 22.33, N = 32955.631. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
MinAvgMaxAVX512 On160032183651OpenBenchmarking.orgMegahertz, More Is BetterCpuminer-Opt 3.20.3CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxAVX512 On2.421.630.0OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.20.3CPU Power Consumption Monitor9182736451. AVX512 On: Approximate power consumption of 734 Joules per run.
MinAvgMaxAVX512 On55.073.777.6OpenBenchmarking.orgCelsius, Fewer Is BetterCpuminer-Opt 3.20.3CPU Temperature Monitor20406080100

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: x25xAVX512 On90180270360450SE +/- 1.29, N = 3396.501. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
MinAvgMaxAVX512 On160033393774OpenBenchmarking.orgMegahertz, More Is BetterCpuminer-Opt 3.20.3CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxAVX512 On2.421.630.0OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.20.3CPU Power Consumption Monitor9182736451. AVX512 On: Approximate power consumption of 734 Joules per run.
MinAvgMaxAVX512 On54.876.081.9OpenBenchmarking.orgCelsius, Fewer Is BetterCpuminer-Opt 3.20.3CPU Temperature Monitor20406080100

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Blake-2 SAVX512 On120K240K360K480K600KSE +/- 3930.04, N = 35644301. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
MinAvgMaxAVX512 On160032713716OpenBenchmarking.orgMegahertz, More Is BetterCpuminer-Opt 3.20.3CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxAVX512 On2.421.430.0OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.20.3CPU Power Consumption Monitor9182736451. AVX512 On: Approximate power consumption of 728 Joules per run.
MinAvgMaxAVX512 On54.573.277.0OpenBenchmarking.orgCelsius, Fewer Is BetterCpuminer-Opt 3.20.3CPU Temperature Monitor20406080100

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: MagiAVX512 On80160240320400SE +/- 1.51, N = 3369.971. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
MinAvgMaxAVX512 On160033333768OpenBenchmarking.orgMegahertz, More Is BetterCpuminer-Opt 3.20.3CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxAVX512 On2.521.130.0OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.20.3CPU Power Consumption Monitor9182736451. AVX512 On: Approximate power consumption of 712 Joules per run.
MinAvgMaxAVX512 On54.475.080.1OpenBenchmarking.orgCelsius, Fewer Is BetterCpuminer-Opt 3.20.3CPU Temperature Monitor20406080100

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Myriad-GroestlAVX512 On6K12K18K24K30KSE +/- 164.15, N = 3282331. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
MinAvgMaxAVX512 On160032593772OpenBenchmarking.orgMegahertz, More Is BetterCpuminer-Opt 3.20.3CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxAVX512 On2.420.730.0OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.20.3CPU Power Consumption Monitor9182736451. AVX512 On: Approximate power consumption of 711 Joules per run.
MinAvgMaxAVX512 On54.071.676.0OpenBenchmarking.orgCelsius, Fewer Is BetterCpuminer-Opt 3.20.3CPU Temperature Monitor20406080100

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Quad SHA-256, PyriteAVX512 On20K40K60K80K100KSE +/- 254.06, N = 3968771. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
MinAvgMaxAVX512 On160031543718OpenBenchmarking.orgMegahertz, More Is BetterCpuminer-Opt 3.20.3CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxAVX512 On2.320.129.2OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.20.3CPU Power Consumption Monitor9182736451. AVX512 On: Approximate power consumption of 683 Joules per run.
MinAvgMaxAVX512 On53.370.474.5OpenBenchmarking.orgCelsius, Fewer Is BetterCpuminer-Opt 3.20.3CPU Temperature Monitor20406080100

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: scryptAVX512 On4080120160200SE +/- 0.52, N = 3175.301. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
MinAvgMaxAVX512 On160028243676OpenBenchmarking.orgMegahertz, More Is BetterCpuminer-Opt 3.20.3CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxAVX512 On2.417.327.8OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.20.3CPU Power Consumption Monitor9182736451. AVX512 On: Approximate power consumption of 581 Joules per run.
MinAvgMaxAVX512 On52.966.269.5OpenBenchmarking.orgCelsius, Fewer Is BetterCpuminer-Opt 3.20.3CPU Temperature Monitor20406080100

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUAVX512 On5001000150020002500SE +/- 10.13, N = 32234.12MIN: 2159.11. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
MinAvgMaxAVX512 On160026504841OpenBenchmarking.orgMegahertz, More Is BetteroneDNN 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor12002400360048006000
MinAvgMaxAVX512 On2.417.326.4OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.1CPU Power Consumption Monitor8162432401. AVX512 On: Approximate power consumption of 1473 Joules per run.
MinAvgMaxAVX512 On53.568.981.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1CPU Temperature Monitor20406080100

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUAVX512 On9001800270036004500SE +/- 57.14, N = 154281.31MIN: 3574.281. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgMegahertz, More Is BetteroneDNN 3.1CPU Peak Freq (Highest CPU Core Frequency) MonitorAVX512 On9001800270036004500Min: 1384 / Avg: 2714.82 / Max: 5051
OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.1CPU Power Consumption MonitorAVX512 On612182430Min: 2.27 / Avg: 17.9 / Max: 28.251. AVX512 On: Approximate power consumption of 1662 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1CPU Temperature MonitorAVX512 On1632486480Min: 52.13 / Avg: 70.95 / Max: 84.25

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUAVX512 On0.21090.42180.63270.84361.0545SE +/- 0.001919, N = 40.937257MIN: 0.791. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
MinAvgMaxAVX512 On160030953556OpenBenchmarking.orgMegahertz, More Is BetteroneDNN 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxAVX512 On2.120.028.6OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.1CPU Power Consumption Monitor9182736451. AVX512 On: Approximate power consumption of 379 Joules per run.
MinAvgMaxAVX512 On48.367.775.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1CPU Temperature Monitor20406080100

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUAVX512 On0.3570.7141.0711.4281.785SE +/- 0.01241, N = 91.58666MIN: 1.191. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
MinAvgMaxAVX512 On160029633399OpenBenchmarking.orgMegahertz, More Is BetteroneDNN 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxAVX512 On2.312.030.4OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.1CPU Power Consumption Monitor9182736451. AVX512 On: Approximate power consumption of 86 Joules per run.
MinAvgMaxAVX512 On51.458.864.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1CPU Temperature Monitor20406080100

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUAVX512 On0.31680.63360.95041.26721.584SE +/- 0.00754, N = 31.40812MIN: 1.111. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
MinAvgMaxAVX512 On160030934714OpenBenchmarking.orgMegahertz, More Is BetteroneDNN 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor12002400360048006000
MinAvgMaxAVX512 On2.217.122.5OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.1CPU Power Consumption Monitor6121824301. AVX512 On: Approximate power consumption of 426 Joules per run.
MinAvgMaxAVX512 On49.865.775.6OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 3.1CPU Temperature Monitor20406080100

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerAVX512 On130K260K390K520K650KSE +/- 6283.42, N = 36148691. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgMegahertz, More Is BetterOSPRay Studio 0.11CPU Peak Freq (Highest CPU Core Frequency) MonitorAVX512 On9001800270036004500Min: 1283 / Avg: 2567.02 / Max: 5065
OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption MonitorAVX512 On510152025Min: 2.33 / Avg: 16.65 / Max: 18.931. AVX512 On: Approximate power consumption of 10365 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterOSPRay Studio 0.11CPU Temperature MonitorAVX512 On20406080100Min: 53 / Avg: 67.22 / Max: 91.88

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerAVX512 On4K8K12K16K20KSE +/- 98.15, N = 3187031. (CXX) g++ options: -O3 -lm -ldl
MinAvgMaxAVX512 On160028245066OpenBenchmarking.orgMegahertz, More Is BetterOSPRay Studio 0.11CPU Peak Freq (Highest CPU Core Frequency) Monitor13002600390052006500
MinAvgMaxAVX512 On2.416.719.1OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor6121824301. AVX512 On: Approximate power consumption of 1784 Joules per run.
MinAvgMaxAVX512 On52.968.691.9OpenBenchmarking.orgCelsius, Fewer Is BetterOSPRay Studio 0.11CPU Temperature Monitor20406080100

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerAVX512 On30K60K90K120K150KSE +/- 1116.11, N = 31545091. (CXX) g++ options: -O3 -lm -ldl
MinAvgMaxAVX512 On139727485115OpenBenchmarking.orgMegahertz, More Is BetterOSPRay Studio 0.11CPU Peak Freq (Highest CPU Core Frequency) Monitor13002600390052006500
MinAvgMaxAVX512 On2.316.819.5OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor6121824301. AVX512 On: Approximate power consumption of 2760 Joules per run.
MinAvgMaxAVX512 On52.368.391.9OpenBenchmarking.orgCelsius, Fewer Is BetterOSPRay Studio 0.11CPU Temperature Monitor20406080100

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerAVX512 On10002000300040005000SE +/- 36.61, N = 348011. (CXX) g++ options: -O3 -lm -ldl
MinAvgMaxAVX512 On160027135090OpenBenchmarking.orgMegahertz, More Is BetterOSPRay Studio 0.11CPU Peak Freq (Highest CPU Core Frequency) Monitor13002600390052006500
MinAvgMaxAVX512 On2.416.519.1OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor6121824301. AVX512 On: Approximate power consumption of 2425 Joules per run.
MinAvgMaxAVX512 On53.168.092.0OpenBenchmarking.orgCelsius, Fewer Is BetterOSPRay Studio 0.11CPU Temperature Monitor20406080100

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerAVX512 On110K220K330K440K550KSE +/- 3918.21, N = 35119351. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgMegahertz, More Is BetterOSPRay Studio 0.11CPU Peak Freq (Highest CPU Core Frequency) MonitorAVX512 On9001800270036004500Min: 1397 / Avg: 2586.33 / Max: 5114
OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption MonitorAVX512 On510152025Min: 1.23 / Avg: 16.8 / Max: 19.671. AVX512 On: Approximate power consumption of 8732 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterOSPRay Studio 0.11CPU Temperature MonitorAVX512 On20406080100Min: 53.13 / Avg: 67.97 / Max: 91.88

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerAVX512 On3K6K9K12K15KSE +/- 116.41, N = 3153241. (CXX) g++ options: -O3 -lm -ldl
MinAvgMaxAVX512 On160028945066OpenBenchmarking.orgMegahertz, More Is BetterOSPRay Studio 0.11CPU Peak Freq (Highest CPU Core Frequency) Monitor13002600390052006500
MinAvgMaxAVX512 On2.417.019.4OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor6121824301. AVX512 On: Approximate power consumption of 1537 Joules per run.
MinAvgMaxAVX512 On53.870.191.9OpenBenchmarking.orgCelsius, Fewer Is BetterOSPRay Studio 0.11CPU Temperature Monitor20406080100

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerAVX512 On30K60K90K120K150KSE +/- 680.99, N = 31292961. (CXX) g++ options: -O3 -lm -ldl
MinAvgMaxAVX512 On139727835080OpenBenchmarking.orgMegahertz, More Is BetterOSPRay Studio 0.11CPU Peak Freq (Highest CPU Core Frequency) Monitor13002600390052006500
MinAvgMaxAVX512 On2.317.019.4OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor6121824301. AVX512 On: Approximate power consumption of 2370 Joules per run.
MinAvgMaxAVX512 On53.569.491.9OpenBenchmarking.orgCelsius, Fewer Is BetterOSPRay Studio 0.11CPU Temperature Monitor20406080100

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerAVX512 On8001600240032004000SE +/- 31.26, N = 938691. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgMegahertz, More Is BetterOSPRay Studio 0.11CPU Peak Freq (Highest CPU Core Frequency) MonitorAVX512 On9001800270036004500Min: 1397 / Avg: 2802.99 / Max: 5090
OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption MonitorAVX512 On510152025Min: 2.4 / Avg: 17.31 / Max: 23.251. AVX512 On: Approximate power consumption of 2495 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterOSPRay Studio 0.11CPU Temperature MonitorAVX512 On20406080100Min: 54.25 / Avg: 70.62 / Max: 92

OSPRay

Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/pathtracer/real_timeAVX512 On20406080100SE +/- 0.64, N = 3105.36
MinAvgMaxAVX512 On160033104040OpenBenchmarking.orgMegahertz, More Is BetterOSPRay 2.12CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxAVX512 On2.519.827.5OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor8162432401. AVX512 On: Approximate power consumption of 3272 Joules per run.
MinAvgMaxAVX512 On54.374.478.4OpenBenchmarking.orgCelsius, Fewer Is BetterOSPRay 2.12CPU Temperature Monitor20406080100

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeAVX512 On0.59321.18641.77962.37282.966SE +/- 0.01558, N = 32.63644
MinAvgMaxAVX512 On160030645090OpenBenchmarking.orgMegahertz, More Is BetterOSPRay 2.12CPU Peak Freq (Highest CPU Core Frequency) Monitor13002600390052006500
MinAvgMaxAVX512 On2.418.322.1OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor6121824301. AVX512 On: Approximate power consumption of 1005 Joules per run.
MinAvgMaxAVX512 On54.071.683.9OpenBenchmarking.orgCelsius, Fewer Is BetterOSPRay 2.12CPU Temperature Monitor20406080100

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeAVX512 On0.47480.94961.42441.89922.374SE +/- 0.01970, N = 32.11043
MinAvgMaxAVX512 On160030715066OpenBenchmarking.orgMegahertz, More Is BetterOSPRay 2.12CPU Peak Freq (Highest CPU Core Frequency) Monitor13002600390052006500
MinAvgMaxAVX512 On2.418.021.1OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor6121824301. AVX512 On: Approximate power consumption of 1007 Joules per run.
MinAvgMaxAVX512 On53.570.883.3OpenBenchmarking.orgCelsius, Fewer Is BetterOSPRay 2.12CPU Temperature Monitor20406080100

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/ao/real_timeAVX512 On0.4840.9681.4521.9362.42SE +/- 0.01201, N = 32.15093
MinAvgMaxAVX512 On160030385059OpenBenchmarking.orgMegahertz, More Is BetterOSPRay 2.12CPU Peak Freq (Highest CPU Core Frequency) Monitor13002600390052006500
MinAvgMaxAVX512 On2.417.021.2OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor6121824301. AVX512 On: Approximate power consumption of 947 Joules per run.
MinAvgMaxAVX512 On53.569.584.1OpenBenchmarking.orgCelsius, Fewer Is BetterOSPRay 2.12CPU Temperature Monitor20406080100

Intel Open Image Denoise

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

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.0Run: RTLightmap.hdr.4096x4096 - Device: CPU-OnlyAVX512 On0.02930.05860.08790.11720.1465SE +/- 0.00, N = 30.13
MinAvgMaxAVX512 On160028195091OpenBenchmarking.orgMegahertz, More Is BetterIntel Open Image Denoise 2.0CPU Peak Freq (Highest CPU Core Frequency) Monitor13002600390052006500
MinAvgMaxAVX512 On2.417.325.5OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 2.0CPU Power Consumption Monitor8162432401. AVX512 On: Approximate power consumption of 2768 Joules per run.
MinAvgMaxAVX512 On53.568.469.9OpenBenchmarking.orgCelsius, Fewer Is BetterIntel Open Image Denoise 2.0CPU Temperature Monitor20406080100

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.0Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-OnlyAVX512 On0.06080.12160.18240.24320.304SE +/- 0.00, N = 30.27
MinAvgMaxAVX512 On160028995062OpenBenchmarking.orgMegahertz, More Is BetterIntel Open Image Denoise 2.0CPU Peak Freq (Highest CPU Core Frequency) Monitor13002600390052006500
MinAvgMaxAVX512 On2.317.526.1OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 2.0CPU Power Consumption Monitor8162432401. AVX512 On: Approximate power consumption of 1345 Joules per run.
MinAvgMaxAVX512 On53.368.270.4OpenBenchmarking.orgCelsius, Fewer Is BetterIntel Open Image Denoise 2.0CPU Temperature Monitor20406080100

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.0Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-OnlyAVX512 On0.06080.12160.18240.24320.304SE +/- 0.00, N = 30.27
MinAvgMaxAVX512 On160027954665OpenBenchmarking.orgMegahertz, More Is BetterIntel Open Image Denoise 2.0CPU Peak Freq (Highest CPU Core Frequency) Monitor12002400360048006000
MinAvgMaxAVX512 On2.317.021.8OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 2.0CPU Power Consumption Monitor6121824301. AVX512 On: Approximate power consumption of 1337 Joules per run.
MinAvgMaxAVX512 On52.867.370.0OpenBenchmarking.orgCelsius, Fewer Is BetterIntel Open Image Denoise 2.0CPU Temperature Monitor20406080100

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 1.3.1Benchmark: vklBenchmark ISPCAVX512 On306090120150SE +/- 1.47, N = 9112MIN: 10 / MAX: 1869
OpenBenchmarking.orgMegahertz, More Is BetterOpenVKL 1.3.1CPU Peak Freq (Highest CPU Core Frequency) MonitorAVX512 On9001800270036004500Min: 1600 / Avg: 3165.46 / Max: 5115
OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 1.3.1CPU Power Consumption MonitorAVX512 On612182430Min: 2.24 / Avg: 16.33 / Max: 27.751. AVX512 On: Approximate power consumption of 6412 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVKL 1.3.1CPU Temperature MonitorAVX512 On20406080100Min: 50.5 / Avg: 68.96 / Max: 91.75

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 2.0Throughput Test: TopTweetAVX512 On246810SE +/- 0.05, N = 38.671. (CXX) g++ options: -O3
MinAvgMaxAVX512 On160046844993OpenBenchmarking.orgMegahertz, More Is Bettersimdjson 2.0CPU Peak Freq (Highest CPU Core Frequency) Monitor13002600390052006500
MinAvgMaxAVX512 On2.216.519.1OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 2.0CPU Power Consumption Monitor6121824301. AVX512 On: Approximate power consumption of 1024 Joules per run.
MinAvgMaxAVX512 On50.587.490.3OpenBenchmarking.orgCelsius, Fewer Is Bettersimdjson 2.0CPU Temperature Monitor20406080100

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: DistinctUserIDAVX512 On246810SE +/- 0.05, N = 38.781. (CXX) g++ options: -O3
MinAvgMaxAVX512 On160046755006OpenBenchmarking.orgMegahertz, More Is Bettersimdjson 2.0CPU Peak Freq (Highest CPU Core Frequency) Monitor13002600390052006500
MinAvgMaxAVX512 On2.416.519.2OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 2.0CPU Power Consumption Monitor6121824301. AVX512 On: Approximate power consumption of 1025 Joules per run.
MinAvgMaxAVX512 On52.187.690.1OpenBenchmarking.orgCelsius, Fewer Is Bettersimdjson 2.0CPU Temperature Monitor20406080100

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: KostyaAVX512 On1.13852.2773.41554.5545.6925SE +/- 0.01, N = 35.061. (CXX) g++ options: -O3
MinAvgMaxAVX512 On160048335090OpenBenchmarking.orgMegahertz, More Is Bettersimdjson 2.0CPU Peak Freq (Highest CPU Core Frequency) Monitor13002600390052006500
MinAvgMaxAVX512 On2.317.519.3OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 2.0CPU Power Consumption Monitor6121824301. AVX512 On: Approximate power consumption of 1803 Joules per run.
MinAvgMaxAVX512 On50.688.590.4OpenBenchmarking.orgCelsius, Fewer Is Bettersimdjson 2.0CPU Temperature Monitor20406080100

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: LargeRandomAVX512 On0.35330.70661.05991.41321.7665SE +/- 0.00, N = 31.571. (CXX) g++ options: -O3
MinAvgMaxAVX512 On160047415115OpenBenchmarking.orgMegahertz, More Is Bettersimdjson 2.0CPU Peak Freq (Highest CPU Core Frequency) Monitor13002600390052006500
MinAvgMaxAVX512 On2.316.718.3OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 2.0CPU Power Consumption Monitor6121824301. AVX512 On: Approximate power consumption of 1484 Joules per run.
MinAvgMaxAVX512 On50.388.591.3OpenBenchmarking.orgCelsius, Fewer Is Bettersimdjson 2.0CPU Temperature Monitor20406080100

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: PartialTweetsAVX512 On246810SE +/- 0.02, N = 37.511. (CXX) g++ options: -O3
MinAvgMaxAVX512 On160046885115OpenBenchmarking.orgMegahertz, More Is Bettersimdjson 2.0CPU Peak Freq (Highest CPU Core Frequency) Monitor13002600390052006500
MinAvgMaxAVX512 On1.316.319.3OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 2.0CPU Power Consumption Monitor6121824301. AVX512 On: Approximate power consumption of 1022 Joules per run.
MinAvgMaxAVX512 On52.587.590.1OpenBenchmarking.orgCelsius, Fewer Is Bettersimdjson 2.0CPU Temperature Monitor20406080100

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs (and GPUs via SYCL) and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer ISPC - Model: CrownAVX512 On246810SE +/- 0.0666, N = 38.0523MIN: 7.85 / MAX: 8.34
MinAvgMaxAVX512 On160024635115OpenBenchmarking.orgMegahertz, More Is BetterEmbree 4.1CPU Peak Freq (Highest CPU Core Frequency) Monitor13002600390052006500
MinAvgMaxAVX512 On2.416.225.1OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.1CPU Power Consumption Monitor8162432401. AVX512 On: Approximate power consumption of 1369 Joules per run.
MinAvgMaxAVX512 On52.965.067.0OpenBenchmarking.orgCelsius, Fewer Is BetterEmbree 4.1CPU Temperature Monitor20406080100

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer ISPC - Model: Asian Dragon ObjAVX512 On246810SE +/- 0.0092, N = 38.6081MIN: 8.45 / MAX: 8.89
MinAvgMaxAVX512 On139727445115OpenBenchmarking.orgMegahertz, More Is BetterEmbree 4.1CPU Peak Freq (Highest CPU Core Frequency) Monitor13002600390052006500
MinAvgMaxAVX512 On1.516.017.7OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.1CPU Power Consumption Monitor5101520251. AVX512 On: Approximate power consumption of 1369 Joules per run.
MinAvgMaxAVX512 On52.366.189.4OpenBenchmarking.orgCelsius, Fewer Is BetterEmbree 4.1CPU Temperature Monitor20406080100

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer ISPC - Model: Asian DragonAVX512 On3691215SE +/- 0.03, N = 310.00MIN: 9.86 / MAX: 10.33
MinAvgMaxAVX512 On160025444242OpenBenchmarking.orgMegahertz, More Is BetterEmbree 4.1CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxAVX512 On2.315.722.1OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.1CPU Power Consumption Monitor6121824301. AVX512 On: Approximate power consumption of 1071 Joules per run.
MinAvgMaxAVX512 On52.163.766.4OpenBenchmarking.orgCelsius, Fewer Is BetterEmbree 4.1CPU Temperature Monitor20406080100

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: EigenAVX512 On120240360480600SE +/- 5.89, N = 55671. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgMegahertz, More Is BetterLeelaChessZero 0.28CPU Peak Freq (Highest CPU Core Frequency) MonitorAVX512 On9001800270036004500Min: 1397 / Avg: 2719.38 / Max: 5089
OpenBenchmarking.orgWatts, Fewer Is BetterLeelaChessZero 0.28CPU Power Consumption MonitorAVX512 On510152025Min: 1.36 / Avg: 15.48 / Max: 22.81. AVX512 On: Approximate power consumption of 6132 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterLeelaChessZero 0.28CPU Temperature MonitorAVX512 On1530456075Min: 51.75 / Avg: 66.38 / Max: 78.5

CPU Temperature Monitor

OpenBenchmarking.orgCelsiusCPU Temperature MonitorPhoronix Test Suite System MonitoringAVX512 On20406080100Min: 40.75 / Avg: 69.02 / Max: 92.13

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringAVX512 On714212835Min: 1.17 / Avg: 16.21 / Max: 30.84

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertzCPU Peak Freq (Highest CPU Core Frequency) MonitorPhoronix Test Suite System MonitoringAVX512 On9001800270036004500Min: 1283 / Avg: 2907.75 / Max: 5117

OpenVINO

MinAvgMaxAVX512 On55.169.484.8OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor20406080100

MinAvgMaxAVX512 On2.517.227.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor816243240

MinAvgMaxAVX512 On139724935114OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor13002600390052006500

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPUAVX512 On2004006008001000SE +/- 24.60, N = 121160.98MIN: 969.12 / MAX: 1321.31. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
MinAvgMaxAVX512 On139724935114OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2022.3CPU Peak Freq (Highest CPU Core Frequency) Monitor13002600390052006500
MinAvgMaxAVX512 On2.517.227.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor8162432401. AVX512 On: Approximate power consumption of 1157 Joules per run.
MinAvgMaxAVX512 On55.169.484.8OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVINO 2022.3CPU Temperature Monitor20406080100

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPUAVX512 On0.77851.5572.33553.1143.8925SE +/- 0.08, N = 123.461. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

79 Results Shown

TensorFlow:
  CPU - 64 - GoogLeNet
  CPU - 64 - AlexNet
  CPU - 64 - ResNet-50
  CPU - 16 - GoogLeNet
  CPU - 16 - AlexNet
  CPU - 16 - ResNet-50
libxsmm
SMHasher
miniBUDE:
  OpenMP - BM1:
    Billion Interactions/s
    GFInst/s
OpenVINO:
  Machine Translation EN To DE FP16 - CPU:
    ms
    FPS
  Person Vehicle Bike Detection FP16 - CPU:
    ms
    FPS
  Vehicle Detection FP16 - CPU:
    ms
    FPS
  Vehicle Detection FP16-INT8 - CPU:
    ms
    FPS
  Weld Porosity Detection FP16 - CPU:
    ms
    FPS
  Weld Porosity Detection FP16-INT8 - CPU:
    ms
    FPS
  Person Detection FP32 - CPU:
    ms
    FPS
  Person Detection FP16 - CPU:
    ms
    FPS
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    ms
    FPS
  Age Gender Recognition Retail 0013 FP16 - CPU:
    ms
    FPS
  Face Detection FP16-INT8 - CPU:
    ms
    FPS
Cpuminer-Opt:
  LBC, LBRY Credits
  Skeincoin
  Garlicoin
  x25x
  Blake-2 S
  Magi
  Myriad-Groestl
  Quad SHA-256, Pyrite
  scrypt
oneDNN:
  Recurrent Neural Network Inference - u8s8f32 - CPU
  Recurrent Neural Network Training - u8s8f32 - CPU
  IP Shapes 1D - u8s8f32 - CPU
  Deconvolution Batch shapes_3d - u8s8f32 - CPU
  Deconvolution Batch shapes_1d - u8s8f32 - CPU
OSPRay Studio:
  3 - 4K - 32 - Path Tracer
  3 - 4K - 1 - Path Tracer
  3 - 1080p - 32 - Path Tracer
  3 - 1080p - 1 - Path Tracer
  1 - 4K - 32 - Path Tracer
  1 - 4K - 1 - Path Tracer
  1 - 1080p - 32 - Path Tracer
  1 - 1080p - 1 - Path Tracer
OSPRay:
  particle_volume/pathtracer/real_time
  gravity_spheres_volume/dim_512/pathtracer/real_time
  gravity_spheres_volume/dim_512/scivis/real_time
  gravity_spheres_volume/dim_512/ao/real_time
Intel Open Image Denoise:
  RTLightmap.hdr.4096x4096 - CPU-Only
  RT.ldr_alb_nrm.3840x2160 - CPU-Only
  RT.hdr_alb_nrm.3840x2160 - CPU-Only
OpenVKL
simdjson:
  TopTweet
  DistinctUserID
  Kostya
  LargeRand
  PartialTweets
Embree:
  Pathtracer ISPC - Crown
  Pathtracer ISPC - Asian Dragon Obj
  Pathtracer ISPC - Asian Dragon
LeelaChessZero
CPU Temperature Monitor:
  Phoronix Test Suite System Monitoring:
    Celsius
    Watts
    Megahertz
  CPU Temp Monitor:
    Celsius
  CPU Power Consumption Monitor:
    Watts
  CPU Peak Freq (Highest CPU Core Frequency) Monitor:
    Megahertz
OpenVINO:
  Face Detection FP16 - CPU:
    ms
    FPS

AVX512 On

Processor: AMD Ryzen 7 7840U @ 3.30GHz (8 Cores / 16 Threads), Motherboard: PHX Ray_PEU (V1.04 BIOS), Chipset: AMD Device 14e8, Memory: 16GB, Disk: 1024GB Micron_3400_MTFDKBA1T0TFH, Graphics: AMD Phoenix1 512MB (2700/400MHz), Audio: AMD Rembrandt Radeon HD Audio, Network: MEDIATEK MT7922 802.11ax PCI

OS: Ubuntu 23.04, Kernel: 6.2.0-24-generic (x86_64), Desktop: KDE Plasma 5.27.4, Display Server: X Server 1.21.1.7, OpenGL: 4.6 Mesa 23.0.2 (LLVM 15.0.7 DRM 3.49), Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 3200x2000

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-Pa930Z/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-Pa930Z/gcc-12-12.2.0/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-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: 0xa704101
Python Notes: Python 3.11.2
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 6 July 2023 18:18 by user phoronix.