HPC benchmark

Intel Core i7-12700K testing with a MSI PRO Z690-A DDR4(MS-7D25) v1.0 (1.15 BIOS) and Gigabyte AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 on Pop 21.04 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 2112065-TJ-2112065TJ52
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Intel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt
December 05 2021
  14 Hours, 26 Minutes
Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt
December 06 2021
  13 Hours, 59 Minutes
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  14 Hours, 13 Minutes
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HPC benchmarkOpenBenchmarking.orgPhoronix Test SuiteIntel Core i7-12700K @ 6.30GHz (8 Cores / 16 Threads)MSI PRO Z690-A DDR4(MS-7D25) v1.0 (1.15 BIOS)Intel Device 7aa732GB500GB Western Digital WDS500G2B0C-00PXH0 + 3 x 10001GB Seagate ST10000DM0004-1Z + 128GB HP SSD S700 ProGigabyte AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 (1650/750MHz)Realtek ALC897LG HDR WQHDIntel I225-VPop 21.045.15.5-76051505-generic (x86_64)GNOME Shell 3.38.4X Server 1.20.114.6 Mesa 21.3.0-devel (LLVM 12.0.1)OpenCL 1.2 Intel FPGA SDK for OpenCL 20.3 + OpenCL 3.0 LINUX + OpenCL 2.2 AMD-APP (3361.0)1.2.182GCC 10.3.0 + Intel oneAPI DPC++/C++ Compiler 2021.4.0 (2021.4.0.20210924) + ICC 2021.4.0 20210910 + CUDA 10.2ext43440x1440ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionHPC Benchmark PerformanceSystem Logs- Transparent Huge Pages: madvise- Intel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt : CXXFLAGS="-O3 -march=native -mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect" CFLAGS="-O3 -march=native -mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect" - Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt: CXXFLAGS="-O3 -march=native" CFLAGS="-O3 -march=native"- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - Intel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt : NONE / errors=remount-ro,noatime,rw / Block Size: 4096- Scaling Governor: intel_pstate powersave - CPU Microcode: 0x15 - Thermald 2.4.3- GLAMOR - BAR1 / Visible vRAM Size: 6128 MB- Python 3.7.11 :: Intel- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Intel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt vs. Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt ComparisonPhoronix Test SuiteBaseline+25%+25%+50%+50%+75%+75%100%100%50%40%33.3%30.4%26.1%25%25%23%22.7%21.7%17.6%15.8%14.5%14.3%12%11.9%11.6%10.5%10%9.1%8.6%7.1%6.7%6.3%5.4%4.8%4.3%4.2%3.9%3.7%3.1%3%2%CPU - TensorFlow - 65536 - Equation of StateCPU - PyTorch - 65536 - Equation of StateVulkan GPU - blazeface60.4%CPU - Numba - 16384 - Isoneutral MixingCPU - PyTorch - 1048576 - Equation of StateDNN - D.N.N36.6%Vulkan GPU - regnety_400m36.2%Vulkan GPU - shufflenet-v236.2%CPU - regnety_400m34.1%CPU - Aesara - 16384 - Isoneutral MixingCPU - shufflenet-v232.2%Vulkan GPU - googlenet31.1%CPU - PyTorch - 4194304 - Equation of StateVulkan GPU - resnet1830.3%OpenMP - Points2Image29.8%CPU - efficientnet-b029.1%CPU - mnasnet28.3%CPU - resnet1827.7%Vulkan GPU-v2-v2 - mobilenet-v227%CPU-v3-v3 - mobilenet-v326.3%OpenCL - Bus Speed DownloadVulkan GPU - mnasnet25.6%CPU-v2-v2 - mobilenet-v225.2%CPU - PyTorch - 262144 - Equation of StateCPU - TensorFlow - 262144 - Equation of StateCPU - Numpy - 16384 - Isoneutral Mixing25%Float + SSE - 1D FFT Size 409624.2%tConvolve OpenMP - GriddingVulkan GPU - yolov4-tiny22.9%OpenCL - Bus Speed ReadbackNASNet Mobile21.8%tConvolve OpenMP - DegriddingVulkan GPU - efficientnet-b021%OpenMP - Euclidean Cluster19.2%CPU - blazeface18.6%CPU - resnet5018.5%CPU - squeezenet_ssd18.5%OpenCL - Reduction18.4%CPU - mobilenet18.4%Vulkan GPU-v3-v3 - mobilenet-v318.4%OpenCL - Triadmobilenet-v1-1.017.4%MobileNetV2_22417.2%CPU - MobileNet v216.8%CPU - vgg1616.5%No - Inference - VGG16 - CPU15.9%CPU - googlenet15.9%SmallP3B115.6%CPU - alexnet14.5%OpenMP StencilCPU - Numpy - 65536 - Isoneutral Mixing14.3%CPU - JAX - 1048576 - Equation of StateSqueezeNetV1.013.1%squeezenetv1.113%CPU - yolov4-tiny13%SqueezeNet12.8%Vulkan GPU - vgg1612.6%Vulkan GPU - resnet5012.3%P.P.S12.2%OpenCL - FFT SPOpenCL - GEMM SGEMM_N11.9%P1B2OpenCL - S3DCPU11.1%mobilenetV311.1%resnet-v2-5010.6%ATPase Simulation - 327,506 AtomsCPU - JAX - 65536 - Isoneutral MixingB.C9.5%Inception V49.3%CPU - Numpy - 1048576 - Isoneutral Mixing9.1%CPU - Numba - 65536 - Isoneutral Mixingfcn-resnet101-11 - CPU8.8%CPU - Numpy - 4194304 - Isoneutral Mixing8.6%OpenMP LBMinception-v38.4%D.T.S8.2%OpenCL - Max SP Flops8.1%Vulkan GPU - mobilenet7.9%CPU - Numpy - 262144 - Isoneutral Mixing7.8%Device AI Score7.8%D.I.S7.4%scikit_linearridgeregression7.2%CPU - JAX - 4194304 - Equation of StateEarthgecko Skyline7%O.M.G6.4%EXPoSE6.3%CPU - Aesara - 65536 - Isoneutral Mixingsuper-resolution-10 - CPU5.5%Fayalite-FIST5.5%shufflenet-v2-10 - CPUFloat + SSE - 2D FFT Size 325%Windowed Gaussian5%CPU - DenseNet5%Stock - 2D FFT Size 4096Float + SSE - 2D FFT Size 4096H.C.O4%S.F.P.RCPU - PyTorch - 262144 - Isoneutral Mixing3.8%3.8%CPU - JAX - 262144 - Isoneutral Mixingscikit_svm3.5%Relative Entropy3.5%BLAS CPU3.4%scikit_icaStock - 2D FFT Size 32CPU - Numba - 1048576 - Equation of State2.9%L.E.H2.5%2.4%No - Inference - ResNet 50 - CPU2.4%Vulkan GPU - alexnet2.2%Vulkan GPU - squeezenet_ssd2.2%I.R.Vyolov4 - CPU2%tConvolve MT - Gridding2%PyHPC BenchmarksPyHPC BenchmarksNCNNPyHPC BenchmarksPyHPC BenchmarksOpenCVNCNNNCNNNCNNPyHPC BenchmarksNCNNNCNNPyHPC BenchmarksNCNNDarmstadt Automotive Parallel Heterogeneous SuiteNCNNNCNNNCNNNCNNNCNNSHOC Scalable HeterOgeneous ComputingNCNNNCNNPyHPC BenchmarksPyHPC BenchmarksPyHPC BenchmarksFFTWASKAPNCNNSHOC Scalable HeterOgeneous ComputingTensorFlow LiteASKAPNCNNDarmstadt Automotive Parallel Heterogeneous SuiteNCNNNCNNNCNNSHOC Scalable HeterOgeneous ComputingNCNNNCNNSHOC Scalable HeterOgeneous ComputingMobile Neural NetworkMobile Neural NetworkTNNNCNNPlaidMLNCNNminiFEECP-CANDLENCNNParboilPyHPC BenchmarksPyHPC BenchmarksMobile Neural NetworkMobile Neural NetworkNCNNTensorFlow LiteNCNNNCNNHimeno BenchmarkSHOC Scalable HeterOgeneous ComputingSHOC Scalable HeterOgeneous ComputingECP-CANDLESHOC Scalable HeterOgeneous ComputingDeepSpeechMobile Neural NetworkMobile Neural NetworkNAMDPyHPC BenchmarksNumenta Anomaly BenchmarkTensorFlow LitePyHPC BenchmarksPyHPC BenchmarksONNX RuntimePyHPC BenchmarksParboilMobile Neural NetworkAI Benchmark AlphaSHOC Scalable HeterOgeneous ComputingNCNNPyHPC BenchmarksAI Benchmark AlphaAI Benchmark AlphaMlpack BenchmarkPyHPC BenchmarksNumenta Anomaly BenchmarkParboilKripkeNumenta Anomaly BenchmarkPyHPC BenchmarksONNX RuntimeCP2K Molecular DynamicsONNX RuntimeFFTWNumenta Anomaly BenchmarkTNNFFTWRNNoiseFFTWASKAPACES DGEMMPyHPC BenchmarksScikit-LearnPyHPC BenchmarksMlpack BenchmarkNumenta Anomaly BenchmarkArrayFireMlpack BenchmarkFFTWPyHPC BenchmarksCloverLeafR BenchmarkPlaidMLNCNNNCNNTensorFlow LiteONNX RuntimeASKAPIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt

HPC benchmarkpyhpc: CPU - TensorFlow - 65536 - Equation of Statepyhpc: CPU - PyTorch - 65536 - Equation of Statepyhpc: CPU - PyTorch - 1048576 - Equation of Statepyhpc: CPU - Aesara - 16384 - Isoneutral Mixingpyhpc: CPU - PyTorch - 262144 - Equation of Statefftw: Float + SSE - 1D FFT Size 4096askap: tConvolve OpenMP - Griddingaskap: tConvolve OpenMP - Degriddingdaphne: OpenMP - Euclidean Clustershoc: OpenCL - Reductiontnn: CPU - MobileNet v2plaidml: No - Inference - VGG16 - CPUminife: Smallecp-candle: P3B1parboil: OpenMP Stencilpyhpc: CPU - Numpy - 65536 - Isoneutral Mixingpyhpc: CPU - JAX - 1048576 - Equation of Statetensorflow-lite: SqueezeNethimeno: Poisson Pressure Solvershoc: OpenCL - FFT SPecp-candle: P1B2shoc: OpenCL - S3Ddeepspeech: CPUnamd: ATPase Simulation - 327,506 Atomsnumenta-nab: Bayesian Changepointtensorflow-lite: Inception V4pyhpc: CPU - Numpy - 1048576 - Isoneutral Mixingpyhpc: CPU - Numba - 65536 - Isoneutral Mixingonnx: fcn-resnet101-11 - CPUpyhpc: CPU - Numpy - 4194304 - Isoneutral Mixingparboil: OpenMP LBMai-benchmark: Device Training Scorencnn: Vulkan GPU - mobilenetpyhpc: CPU - Numpy - 262144 - Isoneutral Mixingai-benchmark: Device AI Scoreai-benchmark: Device Inference Scoremlpack: scikit_linearridgeregressionpyhpc: CPU - JAX - 4194304 - Equation of Statenumenta-nab: Earthgecko Skylinekripke: numenta-nab: EXPoSEpyhpc: CPU - Aesara - 65536 - Isoneutral Mixingonnx: super-resolution-10 - CPUcp2k: Fayalite-FISTonnx: shufflenet-v2-10 - CPUnumenta-nab: Windowed Gaussiantnn: CPU - DenseNetfftw: Stock - 2D FFT Size 4096rnnoise: fftw: Float + SSE - 2D FFT Size 4096mt-dgemm: Sustained Floating-Point Ratepyhpc: CPU - PyTorch - 262144 - Isoneutral Mixingscikit-learn: pyhpc: CPU - JAX - 262144 - Isoneutral Mixingmlpack: scikit_svmnumenta-nab: Relative Entropyarrayfire: BLAS CPUmlpack: scikit_icafftw: Stock - 2D FFT Size 32pyhpc: CPU - Numba - 1048576 - Equation of Staterbenchmark: plaidml: No - Inference - ResNet 50 - CPUtensorflow-lite: Inception ResNet V2onnx: yolov4 - CPUaskap: tConvolve MT - Griddingparboil: OpenMP CUTCPaskap: tConvolve MT - Degriddingtensorflow-lite: Mobilenet Quantpyhpc: CPU - Numpy - 262144 - Equation of Statepyhpc: CPU - PyTorch - 1048576 - Isoneutral Mixingpyhpc: CPU - Aesara - 4194304 - Equation of Statetensorflow-lite: Mobilenet Floatpyhpc: CPU - Aesara - 262144 - Isoneutral Mixingfftw: Stock - 1D FFT Size 32tnn: CPU - SqueezeNet v2daphne: OpenMP - NDT Mappingmafft: Multiple Sequence Alignment - LSU RNAnumpy: neat: octave-benchmark: pyhpc: CPU - JAX - 4194304 - Isoneutral Mixingpyhpc: CPU - TensorFlow - 4194304 - Equation of Statedolfyn: Computational Fluid Dynamicspyhpc: CPU - Aesara - 1048576 - Isoneutral Mixingtnn: CPU - SqueezeNet v1.1daphne: OpenCL - Points2Imagepyhpc: CPU - Numba - 4194304 - Equation of Statefftw: Stock - 1D FFT Size 4096mlpack: scikit_qdapyhpc: CPU - Numba - 1048576 - Isoneutral Mixingecp-candle: P3B2pyhpc: CPU - PyTorch - 4194304 - Isoneutral Mixingpyhpc: CPU - Numba - 4194304 - Isoneutral Mixingpyhpc: CPU - Aesara - 4194304 - Isoneutral Mixingpyhpc: CPU - Numpy - 4194304 - Equation of Statefftw: Float + SSE - 1D FFT Size 32pyhpc: CPU - Aesara - 1048576 - Equation of Statepyhpc: CPU - PyTorch - 65536 - Isoneutral Mixingpyhpc: CPU - PyTorch - 16384 - Isoneutral Mixingpyhpc: CPU - Numpy - 1048576 - Equation of Statepyhpc: CPU - Aesara - 262144 - Equation of Statepyhpc: CPU - Numba - 262144 - Isoneutral Mixingpyhpc: CPU - Numba - 262144 - Equation of Statepyhpc: CPU - Aesara - 65536 - Equation of Statepyhpc: CPU - Aesara - 16384 - Equation of Statepyhpc: CPU - Numpy - 65536 - Equation of Statepyhpc: CPU - Numpy - 16384 - Equation of Statepyhpc: CPU - Numba - 65536 - Equation of Statepyhpc: CPU - Numba - 16384 - Equation of Statepyhpc: CPU - JAX - 1048576 - Isoneutral Mixingpyhpc: CPU - JAX - 262144 - Equation of Statepyhpc: CPU - JAX - 16384 - Isoneutral Mixingffte: N=256, 1D Complex FFT Routineopencv: DNN - Deep Neural Networkpyhpc: CPU - TensorFlow - 1048576 - Equation of Statepyhpc: CPU - TensorFlow - 262144 - Equation of Statepyhpc: CPU - PyTorch - 4194304 - Equation of Statepyhpc: CPU - Numpy - 16384 - Isoneutral Mixingpyhpc: CPU - Numba - 16384 - Isoneutral Mixingpyhpc: CPU - JAX - 65536 - Isoneutral Mixingncnn: Vulkan GPU - regnety_400mncnn: Vulkan GPU - squeezenet_ssdncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - googlenetncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: CPU - regnety_400mncnn: CPU - squeezenet_ssdncnn: CPU - yolov4-tinyncnn: CPU - resnet50ncnn: CPU - alexnetncnn: CPU - resnet18ncnn: CPU - vgg16ncnn: CPU - googlenetncnn: CPU - blazefacencnn: CPU - efficientnet-b0ncnn: CPU - mnasnetncnn: CPU - shufflenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU - mobilenetmnn: inception-v3mnn: mobilenet-v1-1.0mnn: MobileNetV2_224mnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: squeezenetv1.1mnn: mobilenetV3tensorflow-lite: NASNet Mobiledaphne: OpenMP - Points2Imageaskap: Hogbom Clean OpenMPfftw: Float + SSE - 2D FFT Size 32cloverleaf: Lagrangian-Eulerian Hydrodynamicsparboil: OpenMP MRI Griddingshoc: OpenCL - Bus Speed Readbackshoc: OpenCL - Bus Speed Downloadshoc: OpenCL - Max SP Flopsshoc: OpenCL - GEMM SGEMM_Nshoc: OpenCL - TriadIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt0.0020.0020.0210.0040.0051001551484.832812.631615.6521.2083224.71022.295458.44794.25817.6105090.0210.00814113810224.56468587.617331.78712.242249.076251.2632924.89220246800.4160.012741.861125.07171415696.860.090321516461.530.03083.1567686869330.2970.0174662382.83406888.1472719.8201294517.513407894.7237920.0524.8830.0286.9512.8321178.7512.39227960.0350.10708.5218379504691255.803.3442432004.4499378.60.0530.2850.17595569.30.0612273945.8981008.657.915565.2826.9805.1660.6370.09511.1580.293235.52615525.6646136770.1431837995.970.202403.4841.3320.8471.2991.327300590.0440.0130.0030.2220.0110.0430.0090.0030.0010.0130.0020.0020.0010.1340.0010.00255457.601517024666370.0200.0050.0900.0040.0030.0114.284.638.166.646.693.0417.585.411.697.723.402.684.023.195.5513.4115.3416.389.2910.3737.739.001.023.372.122.392.172.389.0723.2771.7491.8923.59016.6942.2641.11312672132570.157710805253.54879668186.7451.49763631.312630.54381667232284.98915.62820.0010.0010.0150.0030.004806671826.953423.091355.3717.9097262.51419.236321.61918.19715.3816020.0240.0071592539116.45550998.136528.40513.658854.547751.1436427.25122135130.4540.011682.021115.21664714507.400.097298315331.640.02888.9637223418732.2060.0164417403.729428978.5532854.8541356816.792425164.9095970.0545.0690.0277.1913.2751140.3512.02234770.0360.10968.3218015204601231.733.2803311966.1597487.40.0520.2800.17893959.40.0602311746.588993.758.013558.7226.6775.1080.6440.09411.0420.290237.60115404.2777008610.1441827996.460.201401.561.3360.8451.3011.325300470.0440.0130.0030.2220.0110.0430.0090.0030.0010.0130.0020.0020.0010.1340.0010.002910350.0200.0040.0690.0050.0020.0105.834.7310.037.466.843.9619.807.092.719.344.273.654.764.057.4415.8917.3319.4110.6413.2443.9710.431.214.352.723.162.742.9810.7425.2312.0542.2174.06018.4612.5591.23715428525089.993604089243.79675886191.3348.26988138.431838.52581542874254.59718.3795OpenBenchmarking.org

PyHPC Benchmarks

PyHPC-Benchmarks is a suite of Python high performance computing benchmarks for execution on CPUs and GPUs using various popular Python HPC libraries. The PyHPC CPU-based benchmarks focus on sequential CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: TensorFlow - Project Size: 65536 - Benchmark: Equation of StateIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.00050.0010.00150.0020.0025SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0010.002

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: PyTorch - Project Size: 65536 - Benchmark: Equation of StateIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.00050.0010.00150.0020.0025SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0010.002

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: PyTorch - Project Size: 1048576 - Benchmark: Equation of StateIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.00470.00940.01410.01880.0235SE +/- 0.000, N = 3SE +/- 0.000, N = 150.0150.021

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Aesara - Project Size: 16384 - Benchmark: Isoneutral MixingIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.00090.00180.00270.00360.0045SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0030.004

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: PyTorch - Project Size: 262144 - Benchmark: Equation of StateIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.00110.00220.00330.00440.0055SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0040.005

FFTW

FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 1D FFT Size 4096Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 20K40K60K80K100KSE +/- 367.77, N = 3SE +/- 688.36, N = 1580667100155-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect1. (CC) gcc options: -pthread -O3 -march=native -lm

ASKAP

ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - GriddingIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 400800120016002000SE +/- 18.90, N = 5SE +/- 10.00, N = 31826.951484.831. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - DegriddingIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 7001400210028003500SE +/- 25.80, N = 5SE +/- 9.94, N = 33423.092812.631. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

Darmstadt Automotive Parallel Heterogeneous Suite

DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Euclidean ClusterIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 30060090012001500SE +/- 12.00, N = 15SE +/- 3.29, N = 31355.371615.651. (CXX) g++ options: -O3 -std=c++11 -fopenmp

SHOC Scalable HeterOgeneous Computing

The CUDA and OpenCL version of Vetter's Scalable HeterOgeneous Computing benchmark suite. SHOC provides a number of different benchmark programs for evaluating the performance and stability of compute devices. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: ReductionIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 510152025SE +/- 0.08, N = 3SE +/- 0.29, N = 317.9121.21-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect1. (CXX) g++ options: -O3 -march=native -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -Xlinker --enable-new-dtags -rpath -lmpicxx -lmpifort -lmpi -lpthread -ldl

TNN

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

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: MobileNet v2Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 60120180240300SE +/- 2.18, N = 15SE +/- 1.06, N = 3262.51224.71MIN: 221.83 / MAX: 377.5-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 219.21 / MAX: 248.291. (CXX) g++ options: -O3 -march=native -fopenmp -pthread -fvisibility=hidden -fvisibility=default -rdynamic -ldl

PlaidML

This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: CPUIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 510152025SE +/- 0.22, N = 4SE +/- 0.07, N = 319.2322.29

miniFE

MiniFE Finite Element is an application for unstructured implicit finite element codes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgCG Mflops, More Is BetterminiFE 2.2Problem Size: SmallIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 14002800420056007000SE +/- 9.91, N = 3SE +/- 73.38, N = 36321.615458.441. (CXX) g++ options: -O3 -fopenmp -Xlinker --enable-new-dtags -rpath -lmpicxx -lmpifort -lmpi -lrt -lpthread -ldl

ECP-CANDLE

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

OpenBenchmarking.orgSeconds, Fewer Is BetterECP-CANDLE 0.4Benchmark: P3B1Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 2004006008001000918.20794.26

Parboil

The Parboil Benchmarks from the IMPACT Research Group at University of Illinois are a set of throughput computing applications for looking at computing architecture and compilers. Parboil test-cases support OpenMP, OpenCL, and CUDA multi-processing environments. However, at this time the test profile is just making use of the OpenMP and OpenCL test workloads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterParboil 2.5Test: OpenMP StencilIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 48121620SE +/- 0.09, N = 3SE +/- 0.12, N = 315.3817.611. (CXX) g++ options: -lm -lpthread -lgomp -O3 -ffast-math -fopenmp

PyHPC Benchmarks

PyHPC-Benchmarks is a suite of Python high performance computing benchmarks for execution on CPUs and GPUs using various popular Python HPC libraries. The PyHPC CPU-based benchmarks focus on sequential CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 65536 - Benchmark: Isoneutral MixingIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.00540.01080.01620.02160.027SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0240.021

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: JAX - Project Size: 1048576 - Benchmark: Equation of StateIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.00180.00360.00540.00720.009SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0070.008

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 30K60K90K120K150KSE +/- 701.15, N = 3SE +/- 86.06, N = 3159253141138

Himeno Benchmark

The Himeno benchmark is a linear solver of pressure Poisson using a point-Jacobi method. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 2K4K6K8K10KSE +/- 32.30, N = 3SE +/- 6.21, N = 39116.4610224.56-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect1. (CC) gcc options: -O3 -march=native -mavx2

SHOC Scalable HeterOgeneous Computing

The CUDA and OpenCL version of Vetter's Scalable HeterOgeneous Computing benchmark suite. SHOC provides a number of different benchmark programs for evaluating the performance and stability of compute devices. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: FFT SPIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 20406080100SE +/- 0.45, N = 3SE +/- 1.24, N = 398.1487.62-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect1. (CXX) g++ options: -O3 -march=native -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -Xlinker --enable-new-dtags -rpath -lmpicxx -lmpifort -lmpi -lpthread -ldl

ECP-CANDLE

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

OpenBenchmarking.orgSeconds, Fewer Is BetterECP-CANDLE 0.4Benchmark: P1B2Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 71421283528.4131.79

SHOC Scalable HeterOgeneous Computing

The CUDA and OpenCL version of Vetter's Scalable HeterOgeneous Computing benchmark suite. SHOC provides a number of different benchmark programs for evaluating the performance and stability of compute devices. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: S3DIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 48121620SE +/- 0.12, N = 15SE +/- 0.18, N = 1513.6612.24-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect1. (CXX) g++ options: -O3 -march=native -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -Xlinker --enable-new-dtags -rpath -lmpicxx -lmpifort -lmpi -lpthread -ldl

DeepSpeech

Mozilla DeepSpeech is a speech-to-text engine powered by TensorFlow for machine learning and derived from Baidu's Deep Speech research paper. This test profile times the speech-to-text process for a roughly three minute audio recording. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPUIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 1224364860SE +/- 0.25, N = 3SE +/- 0.29, N = 354.5549.08

NAMD

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.28420.56840.85261.13681.421SE +/- 0.00123, N = 3SE +/- 0.01507, N = 31.143641.26329

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 612182430SE +/- 0.37, N = 15SE +/- 0.23, N = 1527.2524.89

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 500K1000K1500K2000K2500KSE +/- 8085.58, N = 3SE +/- 1345.60, N = 322135132024680

PyHPC Benchmarks

PyHPC-Benchmarks is a suite of Python high performance computing benchmarks for execution on CPUs and GPUs using various popular Python HPC libraries. The PyHPC CPU-based benchmarks focus on sequential CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Isoneutral MixingIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.10220.20440.30660.40880.511SE +/- 0.001, N = 3SE +/- 0.002, N = 30.4540.416

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numba - Project Size: 65536 - Benchmark: Isoneutral MixingIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.00270.00540.00810.01080.0135SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0110.012

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.10Model: fcn-resnet101-11 - Device: CPUIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 1632486480SE +/- 0.75, N = 5SE +/- 0.00, N = 36874-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect1. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto -fno-fat-lto-objects -ldl -lrt -pthread -lpthread

PyHPC Benchmarks

PyHPC-Benchmarks is a suite of Python high performance computing benchmarks for execution on CPUs and GPUs using various popular Python HPC libraries. The PyHPC CPU-based benchmarks focus on sequential CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Isoneutral MixingIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.45470.90941.36411.81882.2735SE +/- 0.004, N = 3SE +/- 0.001, N = 32.0211.861

Parboil

The Parboil Benchmarks from the IMPACT Research Group at University of Illinois are a set of throughput computing applications for looking at computing architecture and compilers. Parboil test-cases support OpenMP, OpenCL, and CUDA multi-processing environments. However, at this time the test profile is just making use of the OpenMP and OpenCL test workloads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterParboil 2.5Test: OpenMP LBMIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 306090120150SE +/- 0.18, N = 3SE +/- 0.07, N = 3115.22125.071. (CXX) g++ options: -lm -lpthread -lgomp -O3 -ffast-math -fopenmp

AI Benchmark Alpha

AI Benchmark Alpha is a Python library for evaluating artificial intelligence (AI) performance on diverse hardware platforms and relies upon the TensorFlow machine learning library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training ScoreIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 3006009001200150014501569

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: mobilenetIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 246810SE +/- 0.10, N = 3SE +/- 0.07, N = 157.406.86MIN: 6.41 / MAX: 52.12-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 6.23 / MAX: 45.951. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread

PyHPC Benchmarks

PyHPC-Benchmarks is a suite of Python high performance computing benchmarks for execution on CPUs and GPUs using various popular Python HPC libraries. The PyHPC CPU-based benchmarks focus on sequential CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 262144 - Benchmark: Isoneutral MixingIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.02180.04360.06540.08720.109SE +/- 0.001, N = 3SE +/- 0.001, N = 30.0970.090

AI Benchmark Alpha

AI Benchmark Alpha is a Python library for evaluating artificial intelligence (AI) performance on diverse hardware platforms and relies upon the TensorFlow machine learning library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI ScoreIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 700140021002800350029833215

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference ScoreIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 40080012001600200015331646

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.3690.7381.1071.4761.845SE +/- 0.02, N = 15SE +/- 0.02, N = 151.641.53

PyHPC Benchmarks

PyHPC-Benchmarks is a suite of Python high performance computing benchmarks for execution on CPUs and GPUs using various popular Python HPC libraries. The PyHPC CPU-based benchmarks focus on sequential CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: JAX - Project Size: 4194304 - Benchmark: Equation of StateIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.00680.01360.02040.02720.034SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0280.030

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 20406080100SE +/- 1.01, N = 3SE +/- 0.90, N = 388.9683.16

Kripke

Kripke is a simple, scalable, 3D Sn deterministic particle transport code. Its primary purpose is to research how data layout, programming paradigms and architectures effect the implementation and performance of Sn transport. Kripke is developed by LLNL. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 16M32M48M64M80MSE +/- 688051.71, N = 3SE +/- 132255.44, N = 37223418776868693-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect1. (CXX) g++ options: -O3 -march=native -fopenmp

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: EXPoSEIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 714212835SE +/- 0.12, N = 3SE +/- 0.16, N = 332.2130.30

PyHPC Benchmarks

PyHPC-Benchmarks is a suite of Python high performance computing benchmarks for execution on CPUs and GPUs using various popular Python HPC libraries. The PyHPC CPU-based benchmarks focus on sequential CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Aesara - Project Size: 65536 - Benchmark: Isoneutral MixingIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.00380.00760.01140.01520.019SE +/- 0.000, N = 3SE +/- 0.000, N = 150.0160.017

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.10Model: super-resolution-10 - Device: CPUIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 10002000300040005000SE +/- 5.07, N = 3SE +/- 24.67, N = 344174662-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect1. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto -fno-fat-lto-objects -ldl -lrt -pthread -lpthread

CP2K Molecular Dynamics

CP2K is an open-source molecular dynamics software package focused on quantum chemistry and solid-state physics. This test profile currently uses the SSMP (OpenMP) version of cp2k. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCP2K Molecular Dynamics 8.2Input: Fayalite-FISTIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 90180270360450403.73382.83

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.10Model: shufflenet-v2-10 - Device: CPUIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 9K18K27K36K45KSE +/- 105.96, N = 3SE +/- 181.26, N = 34289740688-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect1. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto -fno-fat-lto-objects -ldl -lrt -pthread -lpthread

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 246810SE +/- 0.066, N = 15SE +/- 0.074, N = 78.5538.147

TNN

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

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: DenseNetIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 6001200180024003000SE +/- 40.36, N = 3SE +/- 2.71, N = 32854.852719.82MIN: 2660.43 / MAX: 3772.17-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 2625.5 / MAX: 3184.861. (CXX) g++ options: -O3 -march=native -fopenmp -pthread -fvisibility=hidden -fvisibility=default -rdynamic -ldl

FFTW

FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 2D FFT Size 4096Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 3K6K9K12K15KSE +/- 25.36, N = 3SE +/- 108.98, N = 81356812945-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect1. (CC) gcc options: -pthread -O3 -march=native -lm

RNNoise

RNNoise is a recurrent neural network for audio noise reduction developed by Mozilla and Xiph.Org. This test profile is a single-threaded test measuring the time to denoise a sample 26 minute long 16-bit RAW audio file using this recurrent neural network noise suppression library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 48121620SE +/- 0.09, N = 3SE +/- 0.01, N = 316.7917.51-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect1. (CC) gcc options: -O3 -march=native -pedantic -fvisibility=hidden

FFTW

FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 4096Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 9K18K27K36K45KSE +/- 932.44, N = 7SE +/- 293.32, N = 34251640789-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect1. (CC) gcc options: -pthread -O3 -march=native -lm

ACES DGEMM

This is a multi-threaded DGEMM benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 1.10472.20943.31414.41885.5235SE +/- 0.027431, N = 3SE +/- 0.007819, N = 34.9095974.723792-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect1. (CC) gcc options: -O3 -march=native -fopenmp

PyHPC Benchmarks

PyHPC-Benchmarks is a suite of Python high performance computing benchmarks for execution on CPUs and GPUs using various popular Python HPC libraries. The PyHPC CPU-based benchmarks focus on sequential CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: PyTorch - Project Size: 262144 - Benchmark: Isoneutral MixingIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.01220.02440.03660.04880.061SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0540.052

Scikit-Learn

Scikit-learn is a Python module for machine learning Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 0.22.1Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 1.14052.2813.42154.5625.7025SE +/- 0.045, N = 3SE +/- 0.009, N = 35.0694.883

PyHPC Benchmarks

PyHPC-Benchmarks is a suite of Python high performance computing benchmarks for execution on CPUs and GPUs using various popular Python HPC libraries. The PyHPC CPU-based benchmarks focus on sequential CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: JAX - Project Size: 262144 - Benchmark: Isoneutral MixingIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.00630.01260.01890.02520.0315SE +/- 0.000, N = 15SE +/- 0.000, N = 150.0270.028

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 246810SE +/- 0.06, N = 3SE +/- 0.05, N = 157.196.95

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 3691215SE +/- 0.14, N = 5SE +/- 0.09, N = 1213.2812.83

ArrayFire

ArrayFire is an GPU and CPU numeric processing library, this test uses the built-in CPU and OpenCL ArrayFire benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS, More Is BetterArrayFire 3.7Test: BLAS CPUIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 30060090012001500SE +/- 4.47, N = 3SE +/- 9.51, N = 91140.351178.75-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect1. (CXX) g++ options: -O3 -march=native -rdynamic

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 3691215SE +/- 0.07, N = 3SE +/- 0.02, N = 312.0212.39

FFTW

FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 2D FFT Size 32Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 5K10K15K20K25KSE +/- 178.70, N = 3SE +/- 214.39, N = 32347722796-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect1. (CC) gcc options: -pthread -O3 -march=native -lm

PyHPC Benchmarks

PyHPC-Benchmarks is a suite of Python high performance computing benchmarks for execution on CPUs and GPUs using various popular Python HPC libraries. The PyHPC CPU-based benchmarks focus on sequential CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numba - Project Size: 1048576 - Benchmark: Equation of StateIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.00810.01620.02430.03240.0405SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0360.035

R Benchmark

This test is a quick-running survey of general R performance Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterR BenchmarkIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.02470.04940.07410.09880.1235SE +/- 0.0013, N = 3SE +/- 0.0004, N = 30.10960.10701. R scripting front-end version 4.0.4 (2021-02-15)

PlaidML

This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 246810SE +/- 0.04, N = 3SE +/- 0.01, N = 38.328.52

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 400K800K1200K1600K2000KSE +/- 380.18, N = 3SE +/- 2113.91, N = 318015201837950

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.10Model: yolov4 - Device: CPUIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 100200300400500SE +/- 1.48, N = 3SE +/- 0.44, N = 3460469-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect1. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto -fno-fat-lto-objects -ldl -lrt -pthread -lpthread

ASKAP

ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - GriddingIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 30060090012001500SE +/- 2.99, N = 3SE +/- 0.45, N = 31231.731255.801. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

Parboil

The Parboil Benchmarks from the IMPACT Research Group at University of Illinois are a set of throughput computing applications for looking at computing architecture and compilers. Parboil test-cases support OpenMP, OpenCL, and CUDA multi-processing environments. However, at this time the test profile is just making use of the OpenMP and OpenCL test workloads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterParboil 2.5Test: OpenMP CUTCPIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.75251.5052.25753.013.7625SE +/- 0.007364, N = 3SE +/- 0.021224, N = 33.2803313.3442431. (CXX) g++ options: -lm -lpthread -lgomp -O3 -ffast-math -fopenmp

ASKAP

ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - DegriddingIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 400800120016002000SE +/- 15.85, N = 3SE +/- 2.06, N = 31966.152004.441. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 20K40K60K80K100KSE +/- 147.61, N = 3SE +/- 477.30, N = 397487.499378.6

PyHPC Benchmarks

PyHPC-Benchmarks is a suite of Python high performance computing benchmarks for execution on CPUs and GPUs using various popular Python HPC libraries. The PyHPC CPU-based benchmarks focus on sequential CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 262144 - Benchmark: Equation of StateIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.01190.02380.03570.04760.0595SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0520.053

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: PyTorch - Project Size: 1048576 - Benchmark: Isoneutral MixingIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.06410.12820.19230.25640.3205SE +/- 0.003, N = 3SE +/- 0.000, N = 30.2800.285

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Aesara - Project Size: 4194304 - Benchmark: Equation of StateIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.04010.08020.12030.16040.2005SE +/- 0.000, N = 3SE +/- 0.000, N = 30.1780.175

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 20K40K60K80K100KSE +/- 153.26, N = 3SE +/- 70.47, N = 393959.495569.3

PyHPC Benchmarks

PyHPC-Benchmarks is a suite of Python high performance computing benchmarks for execution on CPUs and GPUs using various popular Python HPC libraries. The PyHPC CPU-based benchmarks focus on sequential CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Aesara - Project Size: 262144 - Benchmark: Isoneutral MixingIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.01370.02740.04110.05480.0685SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0600.061

FFTW

FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 1D FFT Size 32Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 5K10K15K20K25KSE +/- 122.88, N = 3SE +/- 1.86, N = 32311722739-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect1. (CC) gcc options: -pthread -O3 -march=native -lm

TNN

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

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v2Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 1122334455SE +/- 0.22, N = 3SE +/- 0.32, N = 346.5945.90MIN: 45.39 / MAX: 53.21-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 45.05 / MAX: 46.71. (CXX) g++ options: -O3 -march=native -fopenmp -pthread -fvisibility=hidden -fvisibility=default -rdynamic -ldl

Darmstadt Automotive Parallel Heterogeneous Suite

DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: NDT MappingIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 2004006008001000SE +/- 10.71, N = 5SE +/- 4.83, N = 3993.751008.651. (CXX) g++ options: -O3 -std=c++11 -fopenmp

Timed MAFFT Alignment

This test performs an alignment of 100 pyruvate decarboxylase sequences. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNAIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 246810SE +/- 0.009, N = 3SE +/- 0.051, N = 38.0137.9151. (CC) gcc options: -std=c99 -O3 -lm -lpthread

Numpy Benchmark

This is a test to obtain the general Numpy performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 120240360480600SE +/- 2.34, N = 3SE +/- 1.21, N = 3558.72565.28

Nebular Empirical Analysis Tool

NEAT is the Nebular Empirical Analysis Tool for empirical analysis of ionised nebulae, with uncertainty propagation. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNebular Empirical Analysis Tool 2.3Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 612182430SE +/- 0.05, N = 3SE +/- 0.01, N = 326.6826.981. (F9X) gfortran options: -O3 -cpp -ffree-line-length-0 -Jsource/ -fopenmp -fno-backtrace -lcfitsio

GNU Octave Benchmark

This test profile measures how long it takes to complete several reference GNU Octave files via octave-benchmark. GNU Octave is used for numerical computations and is an open-source alternative to MATLAB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 6.1.1~hg.2021.01.26Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 1.16242.32483.48724.64965.812SE +/- 0.039, N = 5SE +/- 0.024, N = 55.1085.166

PyHPC Benchmarks

PyHPC-Benchmarks is a suite of Python high performance computing benchmarks for execution on CPUs and GPUs using various popular Python HPC libraries. The PyHPC CPU-based benchmarks focus on sequential CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: JAX - Project Size: 4194304 - Benchmark: Isoneutral MixingIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.14490.28980.43470.57960.7245SE +/- 0.001, N = 3SE +/- 0.000, N = 30.6440.637

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: TensorFlow - Project Size: 4194304 - Benchmark: Equation of StateIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.02140.04280.06420.08560.107SE +/- 0.000, N = 3SE +/- 0.001, N = 30.0940.095

Dolfyn

Dolfyn is a Computational Fluid Dynamics (CFD) code of modern numerical simulation techniques. The Dolfyn test profile measures the execution time of the bundled computational fluid dynamics demos that are bundled with Dolfyn. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 3691215SE +/- 0.06, N = 3SE +/- 0.02, N = 311.0411.16

PyHPC Benchmarks

PyHPC-Benchmarks is a suite of Python high performance computing benchmarks for execution on CPUs and GPUs using various popular Python HPC libraries. The PyHPC CPU-based benchmarks focus on sequential CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Aesara - Project Size: 1048576 - Benchmark: Isoneutral MixingIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.06590.13180.19770.26360.3295SE +/- 0.002, N = 3SE +/- 0.002, N = 30.2900.293

TNN

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

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v1.1Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 50100150200250SE +/- 1.05, N = 3SE +/- 0.06, N = 3237.60235.53MIN: 235.29 / MAX: 265.95-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 235.23 / MAX: 2371. (CXX) g++ options: -O3 -march=native -fopenmp -pthread -fvisibility=hidden -fvisibility=default -rdynamic -ldl

Darmstadt Automotive Parallel Heterogeneous Suite

DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenCL - Kernel: Points2ImageIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 3K6K9K12K15KSE +/- 137.15, N = 3SE +/- 177.47, N = 315404.2815525.661. (CXX) g++ options: -O3 -std=c++11 -fopenmp

PyHPC Benchmarks

PyHPC-Benchmarks is a suite of Python high performance computing benchmarks for execution on CPUs and GPUs using various popular Python HPC libraries. The PyHPC CPU-based benchmarks focus on sequential CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numba - Project Size: 4194304 - Benchmark: Equation of StateIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.03240.06480.09720.12960.162SE +/- 0.001, N = 3SE +/- 0.000, N = 30.1440.143

FFTW

FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Stock - Size: 1D FFT Size 4096Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 4K8K12K16K20KSE +/- 117.70, N = 3SE +/- 141.46, N = 141827918379-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect1. (CC) gcc options: -pthread -O3 -march=native -lm

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 20406080100SE +/- 0.15, N = 3SE +/- 0.33, N = 396.4695.97

PyHPC Benchmarks

PyHPC-Benchmarks is a suite of Python high performance computing benchmarks for execution on CPUs and GPUs using various popular Python HPC libraries. The PyHPC CPU-based benchmarks focus on sequential CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numba - Project Size: 1048576 - Benchmark: Isoneutral MixingIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.04550.0910.13650.1820.2275SE +/- 0.000, N = 3SE +/- 0.000, N = 30.2010.202

ECP-CANDLE

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

OpenBenchmarking.orgSeconds, Fewer Is BetterECP-CANDLE 0.4Benchmark: P3B2Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 90180270360450401.56403.48

PyHPC Benchmarks

PyHPC-Benchmarks is a suite of Python high performance computing benchmarks for execution on CPUs and GPUs using various popular Python HPC libraries. The PyHPC CPU-based benchmarks focus on sequential CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: PyTorch - Project Size: 4194304 - Benchmark: Isoneutral MixingIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.30060.60120.90181.20241.503SE +/- 0.016, N = 3SE +/- 0.001, N = 31.3361.332

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numba - Project Size: 4194304 - Benchmark: Isoneutral MixingIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.19060.38120.57180.76240.953SE +/- 0.001, N = 3SE +/- 0.001, N = 30.8450.847

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Aesara - Project Size: 4194304 - Benchmark: Isoneutral MixingIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.29270.58540.87811.17081.4635SE +/- 0.003, N = 3SE +/- 0.001, N = 31.3011.299

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Equation of StateIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.29860.59720.89581.19441.493SE +/- 0.001, N = 3SE +/- 0.004, N = 31.3251.327

FFTW

FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 1D FFT Size 32Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 6K12K18K24K30KSE +/- 192.25, N = 3SE +/- 235.28, N = 33004730059-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect1. (CC) gcc options: -pthread -O3 -march=native -lm

PyHPC Benchmarks

PyHPC-Benchmarks is a suite of Python high performance computing benchmarks for execution on CPUs and GPUs using various popular Python HPC libraries. The PyHPC CPU-based benchmarks focus on sequential CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Aesara - Project Size: 1048576 - Benchmark: Equation of StateIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.00990.01980.02970.03960.0495SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0440.044

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: PyTorch - Project Size: 65536 - Benchmark: Isoneutral MixingIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.00290.00580.00870.01160.0145SE +/- 0.000, N = 15SE +/- 0.000, N = 30.0130.013

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: PyTorch - Project Size: 16384 - Benchmark: Isoneutral MixingIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.00070.00140.00210.00280.0035SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0030.003

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Equation of StateIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.050.10.150.20.25SE +/- 0.000, N = 3SE +/- 0.001, N = 30.2220.222

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Aesara - Project Size: 262144 - Benchmark: Equation of StateIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.00250.0050.00750.010.0125SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0110.011

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numba - Project Size: 262144 - Benchmark: Isoneutral MixingIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.00970.01940.02910.03880.0485SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0430.043

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numba - Project Size: 262144 - Benchmark: Equation of StateIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.0020.0040.0060.0080.01SE +/- 0.000, N = 3SE +/- 0.000, N = 150.0090.009

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Aesara - Project Size: 65536 - Benchmark: Equation of StateIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.00070.00140.00210.00280.0035SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0030.003

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Aesara - Project Size: 16384 - Benchmark: Equation of StateIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.00020.00040.00060.00080.001SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0010.001

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 65536 - Benchmark: Equation of StateIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.00290.00580.00870.01160.0145SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0130.013

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 16384 - Benchmark: Equation of StateIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.00050.0010.00150.0020.0025SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0020.002

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numba - Project Size: 65536 - Benchmark: Equation of StateIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.00050.0010.00150.0020.0025SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0020.002

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numba - Project Size: 16384 - Benchmark: Equation of StateIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.00020.00040.00060.00080.001SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0010.001

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: JAX - Project Size: 1048576 - Benchmark: Isoneutral MixingIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.03020.06040.09060.12080.151SE +/- 0.001, N = 3SE +/- 0.000, N = 30.1340.134

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: JAX - Project Size: 262144 - Benchmark: Equation of StateIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.00020.00040.00060.00080.001SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0010.001

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: JAX - Project Size: 16384 - Benchmark: Isoneutral MixingIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.00050.0010.00150.0020.0025SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0020.002

FFTE

FFTE is a package by Daisuke Takahashi to compute Discrete Fourier Transforms of 1-, 2- and 3- dimensional sequences of length (2^p)*(3^q)*(5^r). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0Test: N=256, 1D Complex FFT RoutineIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 12K24K36K48K60KSE +/- 677.39, N = 355457.601. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

OpenCV

This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.5.4Test: DNN - Deep Neural NetworkIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 20K40K60K80K100KSE +/- 3031.05, N = 12SE +/- 1166.72, N = 159103566637-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect1. (CXX) g++ options: -O3 -march=native -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -fvisibility=hidden -ldl -lm -lpthread -lrt

PyHPC Benchmarks

PyHPC-Benchmarks is a suite of Python high performance computing benchmarks for execution on CPUs and GPUs using various popular Python HPC libraries. The PyHPC CPU-based benchmarks focus on sequential CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: TensorFlow - Project Size: 1048576 - Benchmark: Equation of StateIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.00450.0090.01350.0180.0225SE +/- 0.000, N = 15SE +/- 0.000, N = 40.0200.020

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: TensorFlow - Project Size: 262144 - Benchmark: Equation of StateIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.00110.00220.00330.00440.0055SE +/- 0.000, N = 15SE +/- 0.000, N = 30.0040.005

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: PyTorch - Project Size: 4194304 - Benchmark: Equation of StateIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.02030.04060.06090.08120.1015SE +/- 0.002, N = 15SE +/- 0.000, N = 30.0690.090

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 16384 - Benchmark: Isoneutral MixingIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.00110.00220.00330.00440.0055SE +/- 0.000, N = 3SE +/- 0.000, N = 150.0050.004

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numba - Project Size: 16384 - Benchmark: Isoneutral MixingIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.00070.00140.00210.00280.0035SE +/- 0.000, N = 15SE +/- 0.000, N = 150.0020.003

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: JAX - Project Size: 65536 - Benchmark: Isoneutral MixingIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.00250.0050.00750.010.0125SE +/- 0.000, N = 15SE +/- 0.000, N = 150.0100.011

Device: CPU - Backend: JAX - Project Size: 65536 - Benchmark: Equation of State

Intel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt : Test failed to run.

Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt: Test failed to run.

Device: CPU - Backend: JAX - Project Size: 16384 - Benchmark: Equation of State

Intel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt : Test failed to run.

Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt: Test failed to run.

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: regnety_400mIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 1.31182.62363.93545.24726.559SE +/- 1.34, N = 3SE +/- 0.09, N = 155.834.28MIN: 3.47 / MAX: 39.09-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 3.49 / MAX: 28.511. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: squeezenet_ssdIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 1.06432.12863.19294.25725.3215SE +/- 0.35, N = 3SE +/- 0.04, N = 154.734.63MIN: 3.77 / MAX: 44.23-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 3.77 / MAX: 53.141. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: yolov4-tinyIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 3691215SE +/- 1.16, N = 3SE +/- 0.03, N = 1510.038.16MIN: 7.85 / MAX: 80.22-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 7.45 / MAX: 57.641. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: resnet50Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 246810SE +/- 1.23, N = 3SE +/- 0.08, N = 157.466.64MIN: 5.65 / MAX: 33.99-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 5.66 / MAX: 49.121. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: alexnetIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 246810SE +/- 0.55, N = 3SE +/- 0.06, N = 156.846.69MIN: 5.56 / MAX: 36.9-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 5.55 / MAX: 48.951. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: resnet18Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.8911.7822.6733.5644.455SE +/- 1.09, N = 3SE +/- 0.05, N = 153.963.04MIN: 2.04 / MAX: 34.37-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 2.03 / MAX: 39.181. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: vgg16Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 510152025SE +/- 2.77, N = 3SE +/- 0.12, N = 1519.8017.58MIN: 15.66 / MAX: 57.67-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 15.73 / MAX: 64.581. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: googlenetIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 246810SE +/- 1.19, N = 3SE +/- 0.07, N = 157.095.41MIN: 4.73 / MAX: 34.54-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 4.74 / MAX: 36.711. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: blazefaceIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.60981.21961.82942.43923.049SE +/- 0.30, N = 3SE +/- 0.03, N = 152.711.69MIN: 1.3 / MAX: 55.08-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 1.29 / MAX: 28.851. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: efficientnet-b0Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 3691215SE +/- 1.47, N = 3SE +/- 0.04, N = 159.347.72MIN: 7.17 / MAX: 38.24-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 7.18 / MAX: 34.331. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: mnasnetIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.96081.92162.88243.84324.804SE +/- 1.10, N = 3SE +/- 0.09, N = 154.273.40MIN: 2.5 / MAX: 32.54-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 2.5 / MAX: 33.071. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: shufflenet-v2Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.82131.64262.46393.28524.1065SE +/- 0.97, N = 3SE +/- 0.04, N = 153.652.68MIN: 1.88 / MAX: 35.3-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 1.86 / MAX: 25.241. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 1.0712.1423.2134.2845.355SE +/- 0.44, N = 3SE +/- 0.05, N = 154.764.02MIN: 3.33 / MAX: 28.56-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 3.28 / MAX: 27.171. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.91131.82262.73393.64524.5565SE +/- 0.50, N = 3SE +/- 0.04, N = 154.053.19MIN: 2.44 / MAX: 30.19-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 2.43 / MAX: 25.751. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: regnety_400mIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 246810SE +/- 0.55, N = 15SE +/- 0.01, N = 157.445.55MIN: 5.34 / MAX: 398.2-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 4.92 / MAX: 31.261. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: squeezenet_ssdIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 48121620SE +/- 0.72, N = 15SE +/- 0.02, N = 1515.8913.41MIN: 12.62 / MAX: 489.07-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 12.41 / MAX: 45.11. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: yolov4-tinyIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 48121620SE +/- 0.43, N = 15SE +/- 0.13, N = 1517.3315.34MIN: 14.49 / MAX: 220.15-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 13.6 / MAX: 60.851. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: resnet50Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 510152025SE +/- 0.58, N = 15SE +/- 0.11, N = 1519.4116.38MIN: 15.46 / MAX: 404.54-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 14.75 / MAX: 169.631. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: alexnetIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 3691215SE +/- 0.31, N = 15SE +/- 0.05, N = 1510.649.29MIN: 8.84 / MAX: 348.67-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 8.58 / MAX: 188.451. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: resnet18Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 3691215SE +/- 0.65, N = 15SE +/- 0.05, N = 1513.2410.37MIN: 9.67 / MAX: 377.98-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 9.43 / MAX: 107.771. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: vgg16Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 1020304050SE +/- 1.09, N = 15SE +/- 0.15, N = 1543.9737.73MIN: 36.31 / MAX: 485.44-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 35.14 / MAX: 288.511. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: googlenetIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 3691215SE +/- 0.39, N = 15SE +/- 0.15, N = 1510.439.00MIN: 8.03 / MAX: 223.75-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 7.77 / MAX: 212.021. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: blazefaceIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.27230.54460.81691.08921.3615SE +/- 0.04, N = 15SE +/- 0.00, N = 151.211.02MIN: 0.93 / MAX: 35.68-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 0.93 / MAX: 3.991. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: efficientnet-b0Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.97881.95762.93643.91524.894SE +/- 0.20, N = 15SE +/- 0.02, N = 154.353.37MIN: 3.03 / MAX: 261.53-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 2.95 / MAX: 16.31. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: mnasnetIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.6121.2241.8362.4483.06SE +/- 0.12, N = 14SE +/- 0.01, N = 142.722.12MIN: 1.95 / MAX: 218.37-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 1.86 / MAX: 5.631. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: shufflenet-v2Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.7111.4222.1332.8443.555SE +/- 0.31, N = 15SE +/- 0.01, N = 143.162.39MIN: 2.17 / MAX: 324.42-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 2.14 / MAX: 6.731. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU-v3-v3 - Model: mobilenet-v3Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.61651.2331.84952.4663.0825SE +/- 0.12, N = 15SE +/- 0.01, N = 152.742.17MIN: 1.97 / MAX: 173.37-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 1.87 / MAX: 11.11. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU-v2-v2 - Model: mobilenet-v2Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.67051.3412.01152.6823.3525SE +/- 0.12, N = 15SE +/- 0.01, N = 152.982.38MIN: 2.18 / MAX: 280.99-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 2.09 / MAX: 19.161. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: mobilenetIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 3691215SE +/- 0.34, N = 15SE +/- 0.12, N = 1510.749.07MIN: 8.38 / MAX: 272.88-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 7.88 / MAX: 149.111. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread

Mobile Neural Network

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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: inception-v3Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 612182430SE +/- 0.55, N = 15SE +/- 0.05, N = 1525.2323.28MIN: 20.75 / MAX: 242.75-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 20.16 / MAX: 153.621. (CXX) g++ options: -O3 -march=native -std=c++11 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: mobilenet-v1-1.0Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.46220.92441.38661.84882.311SE +/- 0.066, N = 15SE +/- 0.016, N = 152.0541.749MIN: 1.55 / MAX: 55.56-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 1.51 / MAX: 60.381. (CXX) g++ options: -O3 -march=native -std=c++11 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: MobileNetV2_224Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.49880.99761.49641.99522.494SE +/- 0.076, N = 15SE +/- 0.021, N = 152.2171.892MIN: 1.65 / MAX: 59.17-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 1.59 / MAX: 22.251. (CXX) g++ options: -O3 -march=native -std=c++11 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: SqueezeNetV1.0Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.91351.8272.74053.6544.5675SE +/- 0.128, N = 15SE +/- 0.051, N = 154.0603.590MIN: 2.94 / MAX: 82.76-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 2.83 / MAX: 78.461. (CXX) g++ options: -O3 -march=native -std=c++11 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: resnet-v2-50Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 510152025SE +/- 0.50, N = 15SE +/- 0.06, N = 1518.4616.69MIN: 14.88 / MAX: 173.91-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 14.63 / MAX: 104.641. (CXX) g++ options: -O3 -march=native -std=c++11 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: squeezenetv1.1Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.57581.15161.72742.30322.879SE +/- 0.078, N = 15SE +/- 0.022, N = 152.5592.264MIN: 1.99 / MAX: 49.19-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 1.95 / MAX: 45.841. (CXX) g++ options: -O3 -march=native -std=c++11 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: mobilenetV3Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 0.27830.55660.83491.11321.3915SE +/- 0.037, N = 15SE +/- 0.016, N = 151.2371.113MIN: 0.95 / MAX: 40.28-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 0.93 / MAX: 16.191. (CXX) g++ options: -O3 -march=native -std=c++11 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 30K60K90K120K150KSE +/- 6529.38, N = 12SE +/- 95.70, N = 3154285126721

Darmstadt Automotive Parallel Heterogeneous Suite

DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Points2ImageIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 7K14K21K28K35KSE +/- 1308.12, N = 13SE +/- 274.39, N = 325089.9932570.161. (CXX) g++ options: -O3 -std=c++11 -fopenmp

ASKAP

ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Second, More Is BetterASKAP 1.0Test: Hogbom Clean OpenMPIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 60120180240300SE +/- 4.49, N = 15SE +/- 1.70, N = 15243.80253.551. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

FFTW

FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 32Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 20K40K60K80K100KSE +/- 618.46, N = 15SE +/- 1461.14, N = 157588679668-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect1. (CC) gcc options: -pthread -O3 -march=native -lm

CloverLeaf

CloverLeaf is a Lagrangian-Eulerian hydrodynamics benchmark. This test profile currently makes use of CloverLeaf's OpenMP version and benchmarked with the clover_bm.in input file (Problem 5). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian HydrodynamicsIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 4080120160200SE +/- 18.74, N = 9SE +/- 2.66, N = 12191.33186.741. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

Parboil

The Parboil Benchmarks from the IMPACT Research Group at University of Illinois are a set of throughput computing applications for looking at computing architecture and compilers. Parboil test-cases support OpenMP, OpenCL, and CUDA multi-processing environments. However, at this time the test profile is just making use of the OpenMP and OpenCL test workloads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterParboil 2.5Test: OpenMP MRI GriddingIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 1224364860SE +/- 1.02, N = 15SE +/- 0.84, N = 1548.2751.501. (CXX) g++ options: -lm -lpthread -lgomp -O3 -ffast-math -fopenmp

SHOC Scalable HeterOgeneous Computing

The CUDA and OpenCL version of Vetter's Scalable HeterOgeneous Computing benchmark suite. SHOC provides a number of different benchmark programs for evaluating the performance and stability of compute devices. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Bus Speed ReadbackIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 918273645SE +/- 1.55, N = 15SE +/- 1.21, N = 1538.4331.31-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect1. (CXX) g++ options: -O3 -march=native -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -Xlinker --enable-new-dtags -rpath -lmpicxx -lmpifort -lmpi -lpthread -ldl

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Bus Speed DownloadIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 918273645SE +/- 1.64, N = 15SE +/- 1.01, N = 1238.5330.54-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect1. (CXX) g++ options: -O3 -march=native -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -Xlinker --enable-new-dtags -rpath -lmpicxx -lmpifort -lmpi -lpthread -ldl

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Max SP FlopsIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 400K800K1200K1600K2000KSE +/- 87626.15, N = 15SE +/- 76015.19, N = 1215428741667232-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect1. (CXX) g++ options: -O3 -march=native -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -Xlinker --enable-new-dtags -rpath -lmpicxx -lmpifort -lmpi -lpthread -ldl

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: GEMM SGEMM_NIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 60120180240300SE +/- 4.42, N = 12SE +/- 1.08, N = 3254.60284.99-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect1. (CXX) g++ options: -O3 -march=native -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -Xlinker --enable-new-dtags -rpath -lmpicxx -lmpifort -lmpi -lpthread -ldl

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: TriadIntel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt 510152025SE +/- 0.16, N = 15SE +/- 0.29, N = 1518.3815.63-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect1. (CXX) g++ options: -O3 -march=native -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -Xlinker --enable-new-dtags -rpath -lmpicxx -lmpifort -lmpi -lpthread -ldl

167 Results Shown

PyHPC Benchmarks:
  CPU - TensorFlow - 65536 - Equation of State
  CPU - PyTorch - 65536 - Equation of State
  CPU - PyTorch - 1048576 - Equation of State
  CPU - Aesara - 16384 - Isoneutral Mixing
  CPU - PyTorch - 262144 - Equation of State
FFTW
ASKAP:
  tConvolve OpenMP - Gridding
  tConvolve OpenMP - Degridding
Darmstadt Automotive Parallel Heterogeneous Suite
SHOC Scalable HeterOgeneous Computing
TNN
PlaidML
miniFE
ECP-CANDLE
Parboil
PyHPC Benchmarks:
  CPU - Numpy - 65536 - Isoneutral Mixing
  CPU - JAX - 1048576 - Equation of State
TensorFlow Lite
Himeno Benchmark
SHOC Scalable HeterOgeneous Computing
ECP-CANDLE
SHOC Scalable HeterOgeneous Computing
DeepSpeech
NAMD
Numenta Anomaly Benchmark
TensorFlow Lite
PyHPC Benchmarks:
  CPU - Numpy - 1048576 - Isoneutral Mixing
  CPU - Numba - 65536 - Isoneutral Mixing
ONNX Runtime
PyHPC Benchmarks
Parboil
AI Benchmark Alpha
NCNN
PyHPC Benchmarks
AI Benchmark Alpha:
  Device AI Score
  Device Inference Score
Mlpack Benchmark
PyHPC Benchmarks
Numenta Anomaly Benchmark
Kripke
Numenta Anomaly Benchmark
PyHPC Benchmarks
ONNX Runtime
CP2K Molecular Dynamics
ONNX Runtime
Numenta Anomaly Benchmark
TNN
FFTW
RNNoise
FFTW
ACES DGEMM
PyHPC Benchmarks
Scikit-Learn
PyHPC Benchmarks
Mlpack Benchmark
Numenta Anomaly Benchmark
ArrayFire
Mlpack Benchmark
FFTW
PyHPC Benchmarks
R Benchmark
PlaidML
TensorFlow Lite
ONNX Runtime
ASKAP
Parboil
ASKAP
TensorFlow Lite
PyHPC Benchmarks:
  CPU - Numpy - 262144 - Equation of State
  CPU - PyTorch - 1048576 - Isoneutral Mixing
  CPU - Aesara - 4194304 - Equation of State
TensorFlow Lite
PyHPC Benchmarks
FFTW
TNN
Darmstadt Automotive Parallel Heterogeneous Suite
Timed MAFFT Alignment
Numpy Benchmark
Nebular Empirical Analysis Tool
GNU Octave Benchmark
PyHPC Benchmarks:
  CPU - JAX - 4194304 - Isoneutral Mixing
  CPU - TensorFlow - 4194304 - Equation of State
Dolfyn
PyHPC Benchmarks
TNN
Darmstadt Automotive Parallel Heterogeneous Suite
PyHPC Benchmarks
FFTW
Mlpack Benchmark
PyHPC Benchmarks
ECP-CANDLE
PyHPC Benchmarks:
  CPU - PyTorch - 4194304 - Isoneutral Mixing
  CPU - Numba - 4194304 - Isoneutral Mixing
  CPU - Aesara - 4194304 - Isoneutral Mixing
  CPU - Numpy - 4194304 - Equation of State
FFTW
PyHPC Benchmarks:
  CPU - Aesara - 1048576 - Equation of State
  CPU - PyTorch - 65536 - Isoneutral Mixing
  CPU - PyTorch - 16384 - Isoneutral Mixing
  CPU - Numpy - 1048576 - Equation of State
  CPU - Aesara - 262144 - Equation of State
  CPU - Numba - 262144 - Isoneutral Mixing
  CPU - Numba - 262144 - Equation of State
  CPU - Aesara - 65536 - Equation of State
  CPU - Aesara - 16384 - Equation of State
  CPU - Numpy - 65536 - Equation of State
  CPU - Numpy - 16384 - Equation of State
  CPU - Numba - 65536 - Equation of State
  CPU - Numba - 16384 - Equation of State
  CPU - JAX - 1048576 - Isoneutral Mixing
  CPU - JAX - 262144 - Equation of State
  CPU - JAX - 16384 - Isoneutral Mixing
FFTE
OpenCV
PyHPC Benchmarks:
  CPU - TensorFlow - 1048576 - Equation of State
  CPU - TensorFlow - 262144 - Equation of State
  CPU - PyTorch - 4194304 - Equation of State
  CPU - Numpy - 16384 - Isoneutral Mixing
  CPU - Numba - 16384 - Isoneutral Mixing
  CPU - JAX - 65536 - Isoneutral Mixing
NCNN:
  Vulkan GPU - regnety_400m
  Vulkan GPU - squeezenet_ssd
  Vulkan GPU - yolov4-tiny
  Vulkan GPU - resnet50
  Vulkan GPU - alexnet
  Vulkan GPU - resnet18
  Vulkan GPU - vgg16
  Vulkan GPU - googlenet
  Vulkan GPU - blazeface
  Vulkan GPU - efficientnet-b0
  Vulkan GPU - mnasnet
  Vulkan GPU - shufflenet-v2
  Vulkan GPU-v3-v3 - mobilenet-v3
  Vulkan GPU-v2-v2 - mobilenet-v2
  CPU - regnety_400m
  CPU - squeezenet_ssd
  CPU - yolov4-tiny
  CPU - resnet50
  CPU - alexnet
  CPU - resnet18
  CPU - vgg16
  CPU - googlenet
  CPU - blazeface
  CPU - efficientnet-b0
  CPU - mnasnet
  CPU - shufflenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU-v2-v2 - mobilenet-v2
  CPU - mobilenet
Mobile Neural Network:
  inception-v3
  mobilenet-v1-1.0
  MobileNetV2_224
  SqueezeNetV1.0
  resnet-v2-50
  squeezenetv1.1
  mobilenetV3
TensorFlow Lite
Darmstadt Automotive Parallel Heterogeneous Suite
ASKAP
FFTW
CloverLeaf
Parboil
SHOC Scalable HeterOgeneous Computing:
  OpenCL - Bus Speed Readback
  OpenCL - Bus Speed Download
  OpenCL - Max SP Flops
  OpenCL - GEMM SGEMM_N
  OpenCL - Triad