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 2307083-NE-AVX512ANA67
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CPU Massive 4 Tests
Creator Workloads 6 Tests
Cryptography 2 Tests
HPC - High Performance Computing 5 Tests
Machine Learning 4 Tests
Multi-Core 7 Tests
Intel oneAPI 6 Tests
Python Tests 2 Tests
Raytracing 2 Tests
Renderers 2 Tests
Server CPU Tests 2 Tests

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Ryzen 7 7840U: AVX512 Off
July 08 2023
  9 Hours, 49 Minutes
Ryzen 7 7840U: AVX512 On
July 08 2023
  8 Hours, 19 Minutes
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  9 Hours, 4 Minutes
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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

lczero: Eigenembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objembree: Pathtracer ISPC - Crownopenvkl: vklBenchmark ISPCospray: gravity_spheres_volume/dim_512/ao/real_timeospray: gravity_spheres_volume/dim_512/scivis/real_timeospray: gravity_spheres_volume/dim_512/pathtracer/real_timeospray: particle_volume/pathtracer/real_timeospray-studio: 1 - 1080p - 1 - Path Tracerospray-studio: 1 - 1080p - 32 - Path Tracerospray-studio: 1 - 4K - 1 - Path Tracerospray-studio: 1 - 4K - 32 - Path Tracerospray-studio: 3 - 1080p - 1 - Path Tracerospray-studio: 3 - 1080p - 32 - Path Tracerospray-studio: 3 - 4K - 1 - Path Tracerospray-studio: 3 - 4K - 32 - Path Traceronednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUcpuminer-opt: scryptcpuminer-opt: Quad SHA-256, Pyritecpuminer-opt: Myriad-Groestlcpuminer-opt: Magicpuminer-opt: Blake-2 Scpuminer-opt: x25xcpuminer-opt: Garlicoincpuminer-opt: Skeincoincpuminer-opt: LBC, LBRY Creditsopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUminibude: OpenMP - BM1minibude: OpenMP - BM1smhasher: FarmHash32 x86_64 AVXsmhasher: FarmHash32 x86_64 AVXlibxsmm: 64tensorflow: CPU - 16 - ResNet-50tensorflow: CPU - 16 - AlexNettensorflow: CPU - 16 - GoogLeNettensorflow: CPU - 64 - ResNet-50tensorflow: CPU - 64 - AlexNettensorflow: CPU - 64 - GoogLeNetRyzen 7 7840U AVX512 Off AVX512 On4638.09177.23296.8556921.194871.137241.9576493.51824456147764180885979235707187853224797395752.869453.369981.680585003.232748.20128.055853313910365.61315925348.692009.3863907220301.562570.313.181252.114781.191.655336.561.490.914390.070.914387.55344.8223.20170.2023.48237.4516.84131.1330.53212.1518.8317.13233.17290.69711.62836442.7626.438155.38.8446.2125.788.5464.7924.876559.95848.55957.91861141.988701.978142.46956101.8084192138553165675489035060161258190646287671.527071.616330.9444324354.172371.62166.578762726160351.21531477374.952752.2778300439033.501143.206.91578.3510275.450.776240.041.271.782242.451.772252.82639.0512.49331.3112.05359.9711.10185.7221.53336.1311.8836.46109.68372.10014.88440077.5926.390168.016.4477.6551.1916.74113.5848.05OpenBenchmarking.org

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 OffAVX512 On140280420560700SE +/- 11.93, N = 9SE +/- 12.23, N = 94636551. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: EigenAVX512 OffAVX512 On120240360480600Min: 436 / Avg: 463.44 / Max: 549Min: 611 / Avg: 654.67 / Max: 7101. (CXX) g++ options: -flto -pthread

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: Asian DragonAVX512 OffAVX512 On3691215SE +/- 0.0474, N = 3SE +/- 0.0930, N = 38.09179.9584MIN: 7.92 / MAX: 8.46MIN: 9.63 / MAX: 10.55
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer ISPC - Model: Asian DragonAVX512 OffAVX512 On3691215Min: 8.02 / Avg: 8.09 / Max: 8.18Min: 9.81 / Avg: 9.96 / Max: 10.13

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer ISPC - Model: Asian Dragon ObjAVX512 OffAVX512 On246810SE +/- 0.0412, N = 3SE +/- 0.1142, N = 37.23298.5595MIN: 7.04 / MAX: 7.55MIN: 8.31 / MAX: 8.97
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer ISPC - Model: Asian Dragon ObjAVX512 OffAVX512 On3691215Min: 7.15 / Avg: 7.23 / Max: 7.28Min: 8.4 / Avg: 8.56 / Max: 8.78

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer ISPC - Model: CrownAVX512 OffAVX512 On246810SE +/- 0.0389, N = 3SE +/- 0.0891, N = 36.85567.9186MIN: 6.66 / MAX: 7.15MIN: 7.65 / MAX: 8.35
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer ISPC - Model: CrownAVX512 OffAVX512 On3691215Min: 6.78 / Avg: 6.86 / Max: 6.91Min: 7.75 / Avg: 7.92 / Max: 8.05

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 OffAVX512 On306090120150SE +/- 1.30, N = 9SE +/- 1.61, N = 992114MIN: 10 / MAX: 1437MIN: 13 / MAX: 1839
OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 1.3.1Benchmark: vklBenchmark ISPCAVX512 OffAVX512 On20406080100Min: 89 / Avg: 92.11 / Max: 102Min: 110 / Avg: 113.78 / Max: 124

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: gravity_spheres_volume/dim_512/ao/real_timeAVX512 OffAVX512 On0.44750.8951.34251.792.2375SE +/- 0.00129, N = 3SE +/- 0.01322, N = 31.194871.98870
OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/ao/real_timeAVX512 OffAVX512 On246810Min: 1.19 / Avg: 1.19 / Max: 1.2Min: 1.97 / Avg: 1.99 / Max: 2.01

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeAVX512 OffAVX512 On0.44510.89021.33531.78042.2255SE +/- 0.00398, N = 3SE +/- 0.01375, N = 31.137241.97814
OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeAVX512 OffAVX512 On246810Min: 1.13 / Avg: 1.14 / Max: 1.14Min: 1.95 / Avg: 1.98 / Max: 2

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeAVX512 OffAVX512 On0.55571.11141.66712.22282.7785SE +/- 0.00675, N = 3SE +/- 0.01551, N = 31.957642.46956
OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeAVX512 OffAVX512 On246810Min: 1.94 / Avg: 1.96 / Max: 1.97Min: 2.45 / Avg: 2.47 / Max: 2.5

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/pathtracer/real_timeAVX512 OffAVX512 On20406080100SE +/- 0.14, N = 3SE +/- 0.25, N = 393.52101.81
OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/pathtracer/real_timeAVX512 OffAVX512 On20406080100Min: 93.34 / Avg: 93.52 / Max: 93.79Min: 101.36 / Avg: 101.81 / Max: 102.21

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: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerAVX512 OffAVX512 On10002000300040005000SE +/- 46.49, N = 3SE +/- 36.74, N = 12445641921. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerAVX512 OffAVX512 On8001600240032004000Min: 4394 / Avg: 4456 / Max: 4547Min: 3849 / Avg: 4192.17 / Max: 42881. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerAVX512 OffAVX512 On30K60K90K120K150KSE +/- 922.16, N = 3SE +/- 1719.79, N = 41477641385531. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerAVX512 OffAVX512 On30K60K90K120K150KMin: 146036 / Avg: 147764.33 / Max: 149186Min: 133843 / Avg: 138553 / Max: 1414521. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerAVX512 OffAVX512 On4K8K12K16K20KSE +/- 66.23, N = 3SE +/- 185.50, N = 418088165671. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerAVX512 OffAVX512 On3K6K9K12K15KMin: 17981 / Avg: 18087.67 / Max: 18209Min: 16013 / Avg: 16566.5 / Max: 168001. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerAVX512 OffAVX512 On130K260K390K520K650KSE +/- 5872.37, N = 3SE +/- 3927.76, N = 35979235489031. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerAVX512 OffAVX512 On100K200K300K400K500KMin: 591078 / Avg: 597923.33 / Max: 609611Min: 541062 / Avg: 548903 / Max: 5532371. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerAVX512 OffAVX512 On12002400360048006000SE +/- 29.78, N = 3SE +/- 57.01, N = 3570750601. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerAVX512 OffAVX512 On10002000300040005000Min: 5664 / Avg: 5706.67 / Max: 5764Min: 4955 / Avg: 5060 / Max: 51511. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerAVX512 OffAVX512 On40K80K120K160K200KSE +/- 2250.38, N = 3SE +/- 466.38, N = 31878531612581. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerAVX512 OffAVX512 On30K60K90K120K150KMin: 183725 / Avg: 187853.33 / Max: 191470Min: 160336 / Avg: 161258.33 / Max: 1618401. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerAVX512 OffAVX512 On5K10K15K20K25KSE +/- 44.38, N = 3SE +/- 180.02, N = 322479190641. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerAVX512 OffAVX512 On4K8K12K16K20KMin: 22391 / Avg: 22479 / Max: 22533Min: 18776 / Avg: 19063.67 / Max: 193951. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerAVX512 OffAVX512 On160K320K480K640K800KSE +/- 6114.98, N = 3SE +/- 4373.49, N = 37395756287671. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerAVX512 OffAVX512 On130K260K390K520K650KMin: 727821 / Avg: 739575 / Max: 748378Min: 622415 / Avg: 628767.33 / Max: 6371511. (CXX) g++ options: -O3 -lm -ldl

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: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUAVX512 OffAVX512 On0.64561.29121.93682.58243.228SE +/- 0.03232, N = 3SE +/- 0.01623, N = 32.869451.52707MIN: 2.23MIN: 1.21. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUAVX512 OffAVX512 On246810Min: 2.83 / Avg: 2.87 / Max: 2.93Min: 1.51 / Avg: 1.53 / Max: 1.561. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUAVX512 OffAVX512 On0.75821.51642.27463.03283.791SE +/- 0.03292, N = 15SE +/- 0.01465, N = 153.369981.61633MIN: 2.69MIN: 1.181. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUAVX512 OffAVX512 On246810Min: 3.23 / Avg: 3.37 / Max: 3.67Min: 1.54 / Avg: 1.62 / Max: 1.741. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUAVX512 OffAVX512 On0.37810.75621.13431.51241.8905SE +/- 0.015865, N = 4SE +/- 0.005008, N = 41.6805800.944432MIN: 1.41MIN: 0.81. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUAVX512 OffAVX512 On246810Min: 1.64 / Avg: 1.68 / Max: 1.71Min: 0.93 / Avg: 0.94 / Max: 0.961. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUAVX512 OffAVX512 On11002200330044005500SE +/- 91.64, N = 15SE +/- 84.98, N = 125003.234354.17MIN: 4002.46MIN: 3672.421. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUAVX512 OffAVX512 On9001800270036004500Min: 4134.6 / Avg: 5003.23 / Max: 5296.23Min: 3765.03 / Avg: 4354.17 / Max: 4756.161. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUAVX512 OffAVX512 On6001200180024003000SE +/- 10.85, N = 3SE +/- 20.46, N = 32748.202371.62MIN: 2675.29MIN: 2280.951. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUAVX512 OffAVX512 On5001000150020002500Min: 2731.97 / Avg: 2748.2 / Max: 2768.79Min: 2334.89 / Avg: 2371.62 / Max: 2405.621. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Cpuminer-Opt

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

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: scryptAVX512 OffAVX512 On4080120160200SE +/- 0.43, N = 3SE +/- 0.83, N = 3128.05166.571. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: scryptAVX512 OffAVX512 On306090120150Min: 127.36 / Avg: 128.05 / Max: 128.83Min: 165.23 / Avg: 166.57 / Max: 168.11. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Quad SHA-256, PyriteAVX512 OffAVX512 On20K40K60K80K100KSE +/- 69.60, N = 3SE +/- 217.36, N = 358533876271. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Quad SHA-256, PyriteAVX512 OffAVX512 On15K30K45K60K75KMin: 58420 / Avg: 58533.33 / Max: 58660Min: 87380 / Avg: 87626.67 / Max: 880601. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Myriad-GroestlAVX512 OffAVX512 On6K12K18K24K30KSE +/- 62.45, N = 3SE +/- 73.71, N = 313910261601. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Myriad-GroestlAVX512 OffAVX512 On5K10K15K20K25KMin: 13820 / Avg: 13910 / Max: 14030Min: 26050 / Avg: 26160 / Max: 263001. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: MagiAVX512 OffAVX512 On80160240320400SE +/- 1.15, N = 3SE +/- 1.18, N = 3365.61351.211. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: MagiAVX512 OffAVX512 On70140210280350Min: 363.48 / Avg: 365.61 / Max: 367.43Min: 349.05 / Avg: 351.21 / Max: 353.11. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Blake-2 SAVX512 OffAVX512 On110K220K330K440K550KSE +/- 2454.54, N = 15SE +/- 4566.14, N = 33159255314771. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Blake-2 SAVX512 OffAVX512 On90K180K270K360K450KMin: 299430 / Avg: 315924.67 / Max: 331560Min: 523180 / Avg: 531476.67 / Max: 5389301. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: x25xAVX512 OffAVX512 On80160240320400SE +/- 0.87, N = 3SE +/- 2.44, N = 3348.69374.951. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: x25xAVX512 OffAVX512 On70140210280350Min: 347.64 / Avg: 348.69 / Max: 350.41Min: 371.85 / Avg: 374.95 / Max: 379.761. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: GarlicoinAVX512 OffAVX512 On6001200180024003000SE +/- 17.03, N = 3SE +/- 15.25, N = 32009.382752.271. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: GarlicoinAVX512 OffAVX512 On5001000150020002500Min: 1982.19 / Avg: 2009.38 / Max: 2040.75Min: 2724.09 / Avg: 2752.27 / Max: 2776.471. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: SkeincoinAVX512 OffAVX512 On20K40K60K80K100KSE +/- 336.52, N = 3SE +/- 587.57, N = 363907783001. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: SkeincoinAVX512 OffAVX512 On14K28K42K56K70KMin: 63240 / Avg: 63906.67 / Max: 64320Min: 77130 / Avg: 78300 / Max: 789801. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: LBC, LBRY CreditsAVX512 OffAVX512 On9K18K27K36K45KSE +/- 83.27, N = 3SE +/- 327.43, N = 322030439031. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: LBC, LBRY CreditsAVX512 OffAVX512 On8K16K24K32K40KMin: 21910 / Avg: 22030 / Max: 22190Min: 43310 / Avg: 43903.33 / Max: 444401. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPUAVX512 OffAVX512 On0.78751.5752.36253.153.9375SE +/- 0.03, N = 15SE +/- 0.05, N = 121.563.501. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPUAVX512 OffAVX512 On246810Min: 1.46 / Avg: 1.56 / Max: 1.84Min: 3.35 / Avg: 3.5 / Max: 3.91. (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 - Device: CPUAVX512 OffAVX512 On6001200180024003000SE +/- 44.91, N = 15SE +/- 15.69, N = 122570.311143.20MIN: 2049 / MAX: 2793.24MIN: 992.31 / MAX: 1244.551. (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 - Device: CPUAVX512 OffAVX512 On400800120016002000Min: 2161.2 / Avg: 2570.31 / Max: 2734.63Min: 1024.85 / Avg: 1143.2 / Max: 1194.141. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPUAVX512 OffAVX512 On246810SE +/- 0.02, N = 3SE +/- 0.01, N = 33.186.911. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPUAVX512 OffAVX512 On3691215Min: 3.14 / Avg: 3.18 / Max: 3.22Min: 6.89 / Avg: 6.91 / Max: 6.931. (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 OffAVX512 On30060090012001500SE +/- 9.28, N = 3SE +/- 0.78, N = 31252.11578.35MIN: 1052.1 / MAX: 1331.96MIN: 526.21 / MAX: 640.831. (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 OffAVX512 On2004006008001000Min: 1237.65 / Avg: 1252.11 / Max: 1269.41Min: 576.85 / Avg: 578.35 / Max: 579.461. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUAVX512 OffAVX512 On2K4K6K8K10KSE +/- 49.53, N = 5SE +/- 23.21, N = 34781.1910275.451. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUAVX512 OffAVX512 On2K4K6K8K10KMin: 4684.8 / Avg: 4781.19 / Max: 4967.08Min: 10245.86 / Avg: 10275.45 / Max: 10321.221. (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 OffAVX512 On0.37130.74261.11391.48521.8565SE +/- 0.02, N = 5SE +/- 0.00, N = 31.650.77MIN: 1.04 / MAX: 65.91MIN: 0.44 / MAX: 31.761. (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 OffAVX512 On246810Min: 1.58 / Avg: 1.65 / Max: 1.68Min: 0.77 / Avg: 0.77 / Max: 0.771. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUAVX512 OffAVX512 On13002600390052006500SE +/- 61.26, N = 3SE +/- 89.90, N = 35336.566240.041. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUAVX512 OffAVX512 On11002200330044005500Min: 5215.02 / Avg: 5336.56 / Max: 5410.67Min: 6066.06 / Avg: 6240.04 / Max: 6366.321. (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 OffAVX512 On0.33530.67061.00591.34121.6765SE +/- 0.02, N = 3SE +/- 0.02, N = 31.491.27MIN: 0.87 / MAX: 5.84MIN: 0.8 / MAX: 27.281. (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 OffAVX512 On246810Min: 1.47 / Avg: 1.49 / Max: 1.52Min: 1.25 / Avg: 1.27 / Max: 1.31. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPUAVX512 OffAVX512 On0.40050.8011.20151.6022.0025SE +/- 0.01, N = 15SE +/- 0.03, N = 120.911.781. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPUAVX512 OffAVX512 On246810Min: 0.88 / Avg: 0.91 / Max: 1Min: 1.69 / Avg: 1.78 / Max: 1.991. (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 OffAVX512 On9001800270036004500SE +/- 43.35, N = 15SE +/- 36.55, N = 124390.072242.45MIN: 3908.72 / MAX: 4679.85MIN: 1833.67 / MAX: 2481.741. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared