AVX-512 Analysis

bENCHMARKS for a future article. Intel Core i7-1165G7 testing with a Dell 0GG9PT (3.15.0 BIOS) and Intel Xe TGL GT2 15GB 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 2307108-NE-2307083NE10
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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
Core i7 1165G7: AVX512 On
July 08 2023
  13 Hours, 34 Minutes
Core i7 1165G7: AVX512 Off
July 09 2023
  14 Hours, 44 Minutes
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  11 Hours, 37 Minutes

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ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionRyzen 7 7840UCore i7 1165G7 AVX512 Off AVX512 On AVX512 On AVX512 OffAMD 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 12.2.0ext43200x2000Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads)Dell 0GG9PT (3.15.0 BIOS)Intel Tiger Lake-LPKioxia KBG40ZNS256G NVMe 256GBIntel Xe TGL GT2 15GB (1300MHz)Realtek ALC289Intel Wi-Fi 6 AX2016.2.0-20-generic (x86_64)GNOME Shell 44.0X Server + Wayland4.6 Mesa 23.0.21920x12006.2.0-24-generic (x86_64)OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --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 Details- Ryzen 7 7840U: AVX512 Off: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa704101- Ryzen 7 7840U: AVX512 On: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa704101- Core i7 1165G7: AVX512 On: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0xa6 - Thermald 2.5.2 - Core i7 1165G7: AVX512 Off: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0xa6 - Thermald 2.5.2 Python Details- Python 3.11.2Security Details- Ryzen 7 7840U: AVX512 Off: 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 - Ryzen 7 7840U: AVX512 On: 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 - Core i7 1165G7: AVX512 On: 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 Enhanced IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected - Core i7 1165G7: AVX512 Off: 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 Enhanced IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected

lczero: Eigenospray-studio: 3 - 4K - 32 - Path Traceropenvkl: vklBenchmark ISPCospray-studio: 1 - 4K - 32 - Path Tracertensorflow: CPU - 64 - ResNet-50onednn: Recurrent Neural Network Training - u8s8f32 - CPUospray: particle_volume/pathtracer/real_timetensorflow: CPU - 64 - GoogLeNetospray-studio: 1 - 1080p - 1 - Path Tracerospray-studio: 3 - 1080p - 1 - Path Traceropenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUtensorflow: CPU - 64 - AlexNetospray-studio: 3 - 1080p - 32 - Path Traceropenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUlibxsmm: 64onednn: Recurrent Neural Network Inference - u8s8f32 - CPUospray-studio: 1 - 1080p - 32 - Path Tracerembree: Pathtracer ISPC - Asian Dragonopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUtensorflow: CPU - 16 - ResNet-50openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUtensorflow: CPU - 16 - GoogLeNetospray: gravity_spheres_volume/dim_512/scivis/real_timeopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUospray: gravity_spheres_volume/dim_512/ao/real_timeospray: gravity_spheres_volume/dim_512/pathtracer/real_timeopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUembree: Pathtracer ISPC - Crownopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUtensorflow: CPU - 16 - AlexNetcpuminer-opt: Blake-2 Sospray-studio: 1 - 4K - 1 - Path Tracerembree: Pathtracer ISPC - Asian Dragon Objospray-studio: 3 - 4K - 1 - Path Tracerminibude: OpenMP - BM1minibude: OpenMP - BM1cpuminer-opt: Myriad-Groestlcpuminer-opt: Magicpuminer-opt: x25xcpuminer-opt: scryptcpuminer-opt: Garlicoincpuminer-opt: Quad SHA-256, Pyritecpuminer-opt: LBC, LBRY Creditscpuminer-opt: Skeincoinopenvino: 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 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUsmhasher: FarmHash32 x86_64 AVXsmhasher: FarmHash32 x86_64 AVXonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPURyzen 7 7840UCore i7 1165G7 AVX512 Off AVX512 On AVX512 On AVX512 Off463739575925979238.545003.2393.518224.87445657074390.070.912570.311.5623.20344.8264.7918785316.84237.45155.32748.201477648.09171252.113.181.654781.198.841.495336.5625.781.137244387.550.911.194871.9576423.48170.206.855630.53131.1346.21315925180887.23292247911.628290.69713910365.61348.69128.052009.38585332203063907233.1717.1318.83212.151.680582.8694526.43836442.763.3699865562876711454890316.744354.17101.80848.05419250602242.451.781143.203.5012.49639.05113.5816125811.10359.97168.02371.621385539.9584578.356.910.7710275.4516.441.276240.0451.191.978142252.821.771.988702.4695612.05331.317.918621.53185.7277.65531477165678.55951906414.884372.10026160351.21374.95166.572752.27876274390378300109.6836.4611.88336.130.9444321.5270726.39040077.591.6163387110762028287044710.517357.3388.340429.96690685076290.160.633968.311.0110.65375.4664.5626898217.82224.29137.13754.662195876.29751021.783.911.422780.439.741.263141.6228.621.397246318.670.631.426821.6762139.77100.604.944849.1081.4352.97282211266805.5162321896.468161.70512609143.68175.05132.791822.77526032450234161302.2113.2226.70149.671.895782.4812627.02839090.092.523688041166612639678546.779315.5076.036217.97770091016142.870.653943.841.0122.26179.8144.9129667533.57119.16139.04765.102436825.63032198.131.811.592495.376.871.412804.4318.380.8333346247.580.640.8780801.2579642.4094.364.365342.6393.8136.87150523294705.0178357455.247131.1875364.37145.65156.6062.571057.36215658840.5022971331.5812.0526.99148.133.593424.8791527.26134821.205.74030OpenBenchmarking.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.

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: EigenAVX512 OffAVX512 On2004006008001000SE +/- 11.55, N = 9SE +/- 9.33, N = 3SE +/- 12.23, N = 9SE +/- 11.93, N = 98048716554631. (CXX) g++ options: -flto -pthread

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.

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerAVX512 OffAVX512 On200K400K600K800K1000KSE +/- 1916.25, N = 3SE +/- 1190.01, N = 3SE +/- 4373.49, N = 3SE +/- 6114.98, N = 3116661210762026287677395751. (CXX) g++ options: -O3 -lm -ldl

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.

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 1.3.1Benchmark: vklBenchmark ISPCAVX512 OffAVX512 On306090120150SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 1.61, N = 9SE +/- 1.30, N = 9638211492

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.

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerAVX512 OffAVX512 On200K400K600K800K1000KSE +/- 1928.99, N = 3SE +/- 954.05, N = 3SE +/- 3927.76, N = 3SE +/- 5872.37, N = 39678548704475489035979231. (CXX) g++ options: -O3 -lm -ldl

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.

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: ResNet-50AVX512 OffAVX512 On48121620SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.20, N = 3SE +/- 0.01, N = 36.7710.5116.748.54

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.

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUAVX512 OffAVX512 On2K4K6K8K10KSE +/- 71.00, N = 3SE +/- 64.19, N = 15SE +/- 84.98, N = 12SE +/- 91.64, N = 159315.507357.334354.175003.231. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

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.

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/pathtracer/real_timeAVX512 OffAVX512 On20406080100SE +/- 1.06, N = 12SE +/- 0.88, N = 3SE +/- 0.25, N = 3SE +/- 0.14, N = 376.0488.34101.8193.52

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.

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: GoogLeNetAVX512 OffAVX512 On1122334455SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.53, N = 4SE +/- 0.08, N = 317.9729.9648.0524.87

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.

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerAVX512 OffAVX512 On17003400510068008500SE +/- 2.73, N = 3SE +/- 4.48, N = 3SE +/- 36.74, N = 12SE +/- 46.49, N = 377006906419244561. (CXX) g++ options: -O3 -lm -ldl

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerAVX512 OffAVX512 On2K4K6K8K10KSE +/- 110.89, N = 12SE +/- 20.19, N = 3SE +/- 57.01, N = 3SE +/- 29.78, N = 391018507506057071. (CXX) g++ options: -O3 -lm -ldl

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.

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPUAVX512 OffAVX512 On13002600390052006500SE +/- 101.01, N = 3SE +/- 58.12, N = 12SE +/- 36.55, N = 12SE +/- 43.35, N = 156142.876290.162242.454390.071. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPUAVX512 OffAVX512 On0.40050.8011.20151.6022.0025SE +/- 0.01, N = 3SE +/- 0.01, N = 12SE +/- 0.03, N = 12SE +/- 0.01, N = 150.650.631.780.911. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPUAVX512 OffAVX512 On9001800270036004500SE +/- 28.27, N = 14SE +/- 38.46, N = 3SE +/- 15.69, N = 12SE +/- 44.91, N = 153943.843968.311143.202570.311. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPUAVX512 OffAVX512 On0.78751.5752.36253.153.9375SE +/- 0.01, N = 14SE +/- 0.01, N = 3SE +/- 0.05, N = 12SE +/- 0.03, N = 151.011.013.501.561. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUAVX512 OffAVX512 On612182430SE +/- 0.23, N = 15SE +/- 0.10, N = 15SE +/- 0.08, N = 3SE +/- 0.18, N = 1522.2610.6512.4923.201. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUAVX512 OffAVX512 On140280420560700SE +/- 1.96, N = 15SE +/- 3.72, N = 15SE +/- 3.92, N = 3SE +/- 2.55, N = 15179.81375.46639.05344.821. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

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.

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: AlexNetAVX512 OffAVX512 On306090120150SE +/- 0.28, N = 3SE +/- 0.75, N = 15SE +/- 0.62, N = 3SE +/- 0.71, N = 544.9164.56113.5864.79

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.

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerAVX512 OffAVX512 On60K120K180K240K300KSE +/- 2472.90, N = 3SE +/- 322.06, N = 3SE +/- 466.38, N = 3SE +/- 2250.38, N = 32966752689821612581878531. (CXX) g++ options: -O3 -lm -ldl

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.

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPUAVX512 OffAVX512 On816243240SE +/- 0.23, N = 14SE +/- 0.10, N = 14SE +/- 0.09, N = 15SE +/- 0.19, N = 333.5717.8211.1016.841. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPUAVX512 OffAVX512 On80160240320400SE +/- 0.88, N = 14SE +/- 1.42, N = 14SE +/- 3.22, N = 15SE +/- 2.68, N = 3119.16224.29359.97237.451. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

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.

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 64AVX512 OffAVX512 On4080120160200SE +/- 1.72, N = 13SE +/- 1.64, N = 14SE +/- 1.19, N = 3SE +/- 1.56, N = 3139.0137.1168.0155.31. (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

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.

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUAVX512 OffAVX512 On10002000300040005000SE +/- 39.98, N = 8SE +/- 45.38, N = 15SE +/- 20.46, N = 3SE +/- 10.85, N = 34765.103754.662371.622748.201. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

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.

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerAVX512 OffAVX512 On50K100K150K200K250KSE +/- 192.36, N = 3SE +/- 815.80, N = 3SE +/- 1719.79, N = 4SE +/- 922.16, N = 32436822195871385531477641. (CXX) g++ options: -O3 -lm -ldl

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.

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer ISPC - Model: Asian DragonAVX512 OffAVX512 On3691215SE +/- 0.0607, N = 3SE +/- 0.0513, N = 15SE +/- 0.0930, N = 3SE +/- 0.0474, N = 35.63036.29759.95848.0917

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.

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPUAVX512 OffAVX512 On5001000150020002500SE +/- 17.25, N = 15SE +/- 10.52, N = 15SE +/- 0.78, N = 3SE +/- 9.28, N = 32198.131021.78578.351252.111. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPUAVX512 OffAVX512 On246810SE +/- 0.01, N = 15SE +/- 0.04, N = 15SE +/- 0.01, N = 3SE +/- 0.02, N = 31.813.916.913.181. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUAVX512 OffAVX512 On0.37130.74261.11391.48521.8565SE +/- 0.01, N = 15SE +/- 0.01, N = 15SE +/- 0.00, N = 3SE +/- 0.02, N = 51.591.420.771.651. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUAVX512 OffAVX512 On2K4K6K8K10KSE +/- 22.56, N = 15SE +/- 24.76, N = 15SE +/- 23.21, N = 3SE +/- 49.53, N = 52495.372780.4310275.454781.191. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

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.

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: ResNet-50AVX512 OffAVX512 On48121620SE +/- 0.02, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.00, N = 36.879.7416.448.84

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.

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.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 = 15SE +/- 0.01, N = 15SE +/- 0.02, N = 3SE +/- 0.02, N = 31.411.261.271.491. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUAVX512 OffAVX512 On13002600390052006500SE +/- 33.60, N = 15SE +/- 25.48, N = 15SE +/- 89.90, N = 3SE +/- 61.26, N = 32804.433141.626240.045336.561. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

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.

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: GoogLeNetAVX512 OffAVX512 On1224364860SE +/- 0.26, N = 3SE +/- 0.52, N = 15SE +/- 0.32, N = 3SE +/- 0.19, N = 1118.3828.6251.1925.78

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.

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeAVX512 OffAVX512 On0.44510.89021.33531.78042.2255SE +/- 0.012585, N = 15SE +/- 0.020565, N = 15SE +/- 0.013755, N = 3SE +/- 0.003982, N = 30.8333341.3972401.9781401.137240

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.

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPUAVX512 OffAVX512 On14002800420056007000SE +/- 45.70, N = 11SE +/- 47.81, N = 12SE +/- 21.58, N = 3SE +/- 16.00, N = 36247.586318.672252.824387.551. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPUAVX512 OffAVX512 On0.39830.79661.19491.59321.9915SE +/- 0.00, N = 11SE +/- 0.01, N = 12SE +/- 0.02, N = 3SE +/- 0.00, N = 30.640.631.770.911. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

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.

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/ao/real_timeAVX512 OffAVX512 On0.44750.8951.34251.792.2375SE +/- 0.012598, N = 15SE +/- 0.021513, N = 15SE +/- 0.013221, N = 3SE +/- 0.001291, N = 30.8780801.4268201.9887001.194870

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeAVX512 OffAVX512 On0.55571.11141.66712.22282.7785SE +/- 0.01820, N = 15SE +/- 0.02317, N = 15SE +/- 0.01551, N = 3SE +/- 0.00675, N = 31.257961.676212.469561.95764

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.

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPUAVX512 OffAVX512 On1020304050SE +/- 0.34, N = 13SE +/- 0.33, N = 13SE +/- 0.12, N = 3SE +/- 0.22, N = 342.4039.7712.0523.481. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPUAVX512 OffAVX512 On70140210280350SE +/- 0.83, N = 13SE +/- 0.90, N = 13SE +/- 3.20, N = 3SE +/- 1.57, N = 394.36100.60331.31170.201. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

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.

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer ISPC - Model: CrownAVX512 OffAVX512 On246810SE +/- 0.0485, N = 5SE +/- 0.0702, N = 3SE +/- 0.0891, N = 3SE +/- 0.0389, N = 34.36534.94487.91866.8556

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.

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPUAVX512 OffAVX512 On1122334455SE +/- 0.44, N = 5SE +/- 0.40, N = 3SE +/- 0.29, N = 3SE +/- 0.33, N = 1542.6349.1021.5330.531. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPUAVX512 OffAVX512 On4080120160200SE +/- 0.98, N = 5SE +/- 0.67, N = 3SE +/- 2.58, N = 3SE +/- 1.48, N = 1593.8181.43185.72131.131. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

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.

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: AlexNetAVX512 OffAVX512 On20406080100SE +/- 0.57, N = 15SE +/- 1.39, N = 15SE +/- 0.18, N = 3SE +/- 0.03, N = 336.8752.9777.6546.21

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.

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Blake-2 SAVX512 OffAVX512 On110K220K330K440K550KSE +/- 3240.30, N = 15SE +/- 7085.48, N = 15SE +/- 4566.14, N = 3SE +/- 2454.54, N = 151505232822115314773159251. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

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.

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerAVX512 OffAVX512 On6K12K18K24K30KSE +/- 75.26, N = 3SE +/- 354.53, N = 3SE +/- 185.50, N = 4SE +/- 66.23, N = 3294702668016567180881. (CXX) g++ options: -O3 -lm -ldl

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.

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.1Binary: Pathtracer ISPC - Model: Asian Dragon ObjAVX512 OffAVX512 On246810SE +/- 0.0334, N = 3SE +/- 0.0350, N = 3SE +/- 0.1142, N = 3SE +/- 0.0412, N = 35.01785.51628.55957.2329

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.

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerAVX512 OffAVX512 On8K16K24K32K40KSE +/- 25.42, N = 3SE +/- 288.86, N = 3SE +/- 180.02, N = 3SE +/- 44.38, N = 3357453218919064224791. (CXX) g++ options: -O3 -lm -ldl

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.

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1AVX512 OffAVX512 On48121620SE +/- 0.072, N = 3SE +/- 0.078, N = 4SE +/- 0.149, N = 3SE +/- 0.137, N = 35.2476.46814.88411.6281. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1AVX512 OffAVX512 On80160240320400SE +/- 1.80, N = 3SE +/- 1.94, N = 4SE +/- 3.72, N = 3SE +/- 3.42, N = 3131.19161.71372.10290.701. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

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.

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Myriad-GroestlAVX512 OffAVX512 On6K12K18K24K30KSE +/- 152.81, N = 15SE +/- 290.93, N = 15SE +/- 73.71, N = 3SE +/- 62.45, N = 35364.3712609.0026160.0013910.001. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: MagiAVX512 OffAVX512 On80160240320400SE +/- 4.18, N = 15SE +/- 4.24, N = 15SE +/- 1.18, N = 3SE +/- 1.15, N = 3145.65143.68351.21365.611. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: x25xAVX512 OffAVX512 On80160240320400SE +/- 4.42, N = 15SE +/- 4.73, N = 15SE +/- 2.44, N = 3SE +/- 0.87, N = 3156.60175.05374.95348.691. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: scryptAVX512 OffAVX512 On4080120160200SE +/- 1.99, N = 15SE +/- 2.62, N = 15SE +/- 0.83, N = 3SE +/- 0.43, N = 362.57132.79166.57128.051. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: GarlicoinAVX512 OffAVX512 On6001200180024003000SE +/- 29.55, N = 15SE +/- 36.88, N = 15SE +/- 15.25, N = 3SE +/- 17.03, N = 31057.361822.772752.272009.381. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Quad SHA-256, PyriteAVX512 OffAVX512 On20K40K60K80K100KSE +/- 620.71, N = 15SE +/- 1028.89, N = 15SE +/- 217.36, N = 3SE +/- 69.60, N = 3215655260387627585331. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: LBC, LBRY CreditsAVX512 OffAVX512 On9K18K27K36K45KSE +/- 230.96, N = 15SE +/- 524.03, N = 15SE +/- 327.43, N = 3SE +/- 83.27, N = 38840.5024502.0043903.0022030.001. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: SkeincoinAVX512 OffAVX512 On20K40K60K80K100KSE +/- 658.33, N = 15SE +/- 719.45, N = 15SE +/- 587.57, N = 3SE +/- 336.52, N = 3229713416178300639071. (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.

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPUAVX512 OffAVX512 On70140210280350SE +/- 3.01, N = 7SE +/- 2.39, N = 3SE +/- 0.99, N = 3SE +/- 1.31, N = 3331.58302.21109.68233.171. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPUAVX512 OffAVX512 On816243240SE +/- 0.11, N = 7SE +/- 0.10, N = 3SE +/- 0.33, N = 3SE +/- 0.10, N = 312.0513.2236.4617.131. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPUAVX512 OffAVX512 On612182430SE +/- 0.27, N = 5SE +/- 0.07, N = 3SE +/- 0.11, N = 3SE +/- 0.07, N = 326.9926.7011.8818.831. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPUAVX512 OffAVX512 On70140210280350SE +/- 1.50, N = 5SE +/- 0.41, N = 3SE +/- 3.29, N = 3SE +/- 0.75, N = 3148.13149.67336.13212.151. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

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.

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUAVX512 OffAVX512 On0.80851.6172.42553.2344.0425SE +/- 0.129867, N = 12SE +/- 0.060765, N = 12SE +/- 0.005008, N = 4SE +/- 0.015865, N = 43.5934201.8957800.9444321.6805801. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUAVX512 OffAVX512 On1.09782.19563.29344.39125.489SE +/- 0.06289, N = 3SE +/- 0.06304, N = 12SE +/- 0.01623, N = 3SE +/- 0.03232, N = 34.879152.481261.527072.869451. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

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.

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2022-08-22Hash: FarmHash32 x86_64 AVXAVX512 OffAVX512 On612182430SE +/- 0.12, N = 5SE +/- 0.01, N = 5SE +/- 0.00, N = 6SE +/- 0.02, N = 627.2627.0326.3926.441. (CXX) g++ options: -march=native -O3 -flto=auto -fno-fat-lto-objects

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: FarmHash32 x86_64 AVXAVX512 OffAVX512 On9K18K27K36K45KSE +/- 28.52, N = 5SE +/- 2.05, N = 5SE +/- 5.74, N = 6SE +/- 89.33, N = 634821.2039090.0940077.5936442.761. (CXX) g++ options: -march=native -O3 -flto=auto -fno-fat-lto-objects

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.

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.1Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUAVX512 OffAVX512 On1.29162.58323.87485.16646.458SE +/- 0.01583, N = 9SE +/- 0.00396, N = 9SE +/- 0.01465, N = 15SE +/- 0.03292, N = 155.740302.523681.616333.369981. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

System Temperature Monitor

OpenBenchmarking.orgCelsiusSystem Temperature MonitorPhoronix Test Suite System MonitoringAVX512 OnAVX512 Off20406080100Min: 31 / Avg: 66.6 / Max: 92Min: 38 / Avg: 67.22 / Max: 92

CPU Temperature Monitor

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgCelsiusCPU Temperature MonitorPhoronix Test Suite System MonitoringAVX512 OffAVX512 On20406080100Min: 32 / Avg: 80.83 / Max: 100Min: 33 / Avg: 80.26 / Max: 100Min: 31.25 / Avg: 67.05 / Max: 92.13Min: 38.88 / Avg: 67.66 / Max: 92

CPU Power Consumption Monitor

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringAVX512 OffAVX512 On1530456075Min: 0.59 / Avg: 29.93 / Max: 75.77Min: 0.54 / Avg: 28.73 / Max: 63.65Min: 1.27 / Avg: 15.88 / Max: 30.82Min: 1.3 / Avg: 16.39 / Max: 30.21

CPU Peak Freq (Highest CPU Core Frequency) Monitor

Core i7 1165G7Ryzen 7 7840UOpenBenchmarking.orgMegahertzCPU Peak Freq (Highest CPU Core Frequency) MonitorPhoronix Test Suite System MonitoringAVX512 OffAVX512 On9001800270036004500Min: 640 / Avg: 2932.06 / Max: 4745Min: 683 / Avg: 2950.53 / Max: 4707Min: 1397 / Avg: 2761.55 / Max: 5115Min: 1114 / Avg: 2621.67 / Max: 5115

70 Results Shown

LeelaChessZero
OSPRay Studio
OpenVKL
OSPRay Studio
TensorFlow
oneDNN
OSPRay
TensorFlow
OSPRay Studio:
  1 - 1080p - 1 - Path Tracer
  3 - 1080p - 1 - Path Tracer
OpenVINO:
  Person Detection FP16 - CPU:
    ms
    FPS
  Face Detection FP16 - CPU:
    ms
    FPS
  Weld Porosity Detection FP16-INT8 - CPU:
    ms
    FPS
TensorFlow
OSPRay Studio
OpenVINO:
  Vehicle Detection FP16-INT8 - CPU:
    ms
    FPS
libxsmm
oneDNN
OSPRay Studio
Embree
OpenVINO:
  Face Detection FP16-INT8 - CPU:
    ms
    FPS
  Age Gender Recognition Retail 0013 FP16 - CPU:
    ms
    FPS
TensorFlow
OpenVINO:
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    ms
    FPS
TensorFlow
OSPRay
OpenVINO:
  Person Detection FP32 - CPU:
    ms
    FPS
OSPRay:
  gravity_spheres_volume/dim_512/ao/real_time
  gravity_spheres_volume/dim_512/pathtracer/real_time
OpenVINO:
  Weld Porosity Detection FP16 - CPU:
    ms
    FPS
Embree
OpenVINO:
  Vehicle Detection FP16 - CPU:
    ms
    FPS
TensorFlow
Cpuminer-Opt
OSPRay Studio
Embree
OSPRay Studio
miniBUDE:
  OpenMP - BM1:
    Billion Interactions/s
    GFInst/s
Cpuminer-Opt:
  Myriad-Groestl
  Magi
  x25x
  scrypt
  Garlicoin
  Quad SHA-256, Pyrite
  LBC, LBRY Credits
  Skeincoin
OpenVINO:
  Machine Translation EN To DE FP16 - CPU:
    ms
    FPS
  Person Vehicle Bike Detection FP16 - CPU:
    ms
    FPS
oneDNN:
  IP Shapes 1D - u8s8f32 - CPU
  Deconvolution Batch shapes_1d - u8s8f32 - CPU
SMHasher:
  FarmHash32 x86_64 AVX:
    cycles/hash
    MiB/sec
oneDNN
System Temperature Monitor:
  Phoronix Test Suite System Monitoring:
    Celsius
    Celsius
    Watts
    Megahertz