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 2112076-TJ-2112065TJ40
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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
Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt
December 06 2021
  15 Hours, 56 Minutes
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  14 Hours, 47 Minutes

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HPC benchmarkOpenBenchmarking.orgPhoronix Test SuiteIntel Core i7-12700K @ 6.30GHz (8 Cores / 16 Threads)Intel Core i7-12700K @ 6.30GHz (12 Cores / 20 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 10.2ext43440x1440ProcessorsMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay 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"- Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore 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 Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xtIntel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xtResult OverviewPhoronix Test Suite100%125%150%175%200%OpenCVArrayFireScikit-LearnMlpack BenchmarkTensorFlow LiteCloverLeafDeepSpeechNumpy BenchmarkNAMDTNNMobile Neural NetworkNCNNminiFEPyHPC BenchmarksDarmstadt Automotive Parallel Heterogeneous SuiteHimeno BenchmarkACES DGEMMONNX RuntimePlaidMLParboilNumenta Anomaly BenchmarkAI Benchmark AlphaASKAPKripkeRNNoiseSHOC Scalable HeterOgeneous ComputingCP2K Molecular DynamicsNebular Empirical Analysis ToolTimed MAFFT AlignmentR BenchmarkFFTWGNU Octave BenchmarkDolfynECP-CANDLE

HPC benchmarkfftw: Float + SSE - 2D FFT Size 4096cloverleaf: Lagrangian-Eulerian Hydrodynamicsplaidml: No - Inference - ResNet 50 - CPUtnn: CPU - DenseNetai-benchmark: Device AI Scoreai-benchmark: Device Training Scoreai-benchmark: Device Inference Scoremnn: inception-v3mnn: mobilenet-v1-1.0mnn: MobileNetV2_224mnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: squeezenetv1.1mnn: mobilenetV3opencv: DNN - Deep Neural Networkecp-candle: P3B1parboil: OpenMP MRI Griddingncnn: 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 - mobilenetonnx: yolov4 - CPUpyhpc: CPU - Numpy - 4194304 - Isoneutral Mixingfftw: Stock - 2D FFT Size 4096shoc: OpenCL - Max SP Flopspyhpc: CPU - PyTorch - 4194304 - Isoneutral Mixingonnx: fcn-resnet101-11 - CPUnumpy: mlpack: scikit_linearridgeregressionplaidml: No - Inference - VGG16 - CPUmlpack: scikit_qdanumenta-nab: Bayesian Changepointecp-candle: P3B2cp2k: Fayalite-FISTtensorflow-lite: NASNet Mobilepyhpc: CPU - JAX - 65536 - Isoneutral Mixingonnx: shufflenet-v2-10 - CPUonnx: super-resolution-10 - CPUdaphne: OpenMP - Points2Imageparboil: OpenMP LBMdaphne: OpenCL - Points2Imagencnn: 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: Vulkan GPU - mobilenettensorflow-lite: Inception V4shoc: OpenCL - S3Dtensorflow-lite: Inception ResNet V2numenta-nab: Earthgecko Skylinepyhpc: CPU - PyTorch - 1048576 - Equation of Statenumenta-nab: EXPoSEaskap: tConvolve MT - Degriddingaskap: tConvolve MT - Griddingpyhpc: CPU - Aesara - 4194304 - Isoneutral Mixingpyhpc: CPU - TensorFlow - 1048576 - Equation of Statenamd: ATPase Simulation - 327,506 Atomsneat: tensorflow-lite: SqueezeNetpyhpc: CPU - PyTorch - 4194304 - Equation of Statetensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quantpyhpc: CPU - JAX - 4194304 - Isoneutral Mixingdaphne: OpenMP - Euclidean Clusterpyhpc: CPU - TensorFlow - 65536 - Equation of Statehimeno: Poisson Pressure Solverpyhpc: CPU - JAX - 262144 - Isoneutral Mixingdaphne: OpenMP - NDT Mappingpyhpc: CPU - Aesara - 65536 - Isoneutral Mixingpyhpc: CPU - PyTorch - 65536 - Isoneutral Mixingshoc: OpenCL - GEMM SGEMM_Narrayfire: BLAS CPUaskap: Hogbom Clean OpenMPpyhpc: CPU - Numba - 4194304 - Isoneutral Mixingtnn: CPU - MobileNet v2mt-dgemm: Sustained Floating-Point Rateminife: Smallkripke: pyhpc: CPU - Numpy - 4194304 - Equation of Statenumenta-nab: Relative Entropydeepspeech: CPUmlpack: scikit_svmmlpack: scikit_icapyhpc: CPU - JAX - 1048576 - Isoneutral Mixingpyhpc: CPU - Numba - 65536 - Equation of Statepyhpc: CPU - Numpy - 65536 - Equation of Statepyhpc: CPU - TensorFlow - 262144 - Equation of Staterbenchmark: pyhpc: CPU - Aesara - 4194304 - Equation of Statepyhpc: CPU - Numba - 262144 - Equation of Statepyhpc: CPU - Numpy - 1048576 - Equation of Statenumenta-nab: Windowed Gaussianpyhpc: CPU - Numba - 4194304 - Equation of Statepyhpc: CPU - Numba - 65536 - Isoneutral Mixingpyhpc: CPU - PyTorch - 65536 - Equation of Statepyhpc: CPU - JAX - 1048576 - Equation of Statepyhpc: CPU - Numba - 16384 - Isoneutral Mixingpyhpc: CPU - TensorFlow - 4194304 - Equation of Statepyhpc: CPU - Numpy - 1048576 - Isoneutral Mixingpyhpc: CPU - PyTorch - 1048576 - Isoneutral Mixingpyhpc: CPU - Aesara - 1048576 - Isoneutral Mixingparboil: OpenMP Stencilpyhpc: CPU - Numpy - 16384 - Isoneutral Mixingrnnoise: tnn: CPU - SqueezeNet v1.1pyhpc: CPU - Aesara - 16384 - Isoneutral Mixingpyhpc: CPU - Numpy - 262144 - Isoneutral Mixingpyhpc: CPU - Aesara - 262144 - Isoneutral Mixingpyhpc: CPU - PyTorch - 262144 - Isoneutral Mixingpyhpc: CPU - PyTorch - 262144 - Equation of Statepyhpc: CPU - Aesara - 262144 - Equation of Statefftw: Float + SSE - 1D FFT Size 4096pyhpc: CPU - JAX - 262144 - Equation of Statepyhpc: CPU - JAX - 4194304 - Equation of Statepyhpc: CPU - JAX - 65536 - Equation of Statepyhpc: CPU - Aesara - 16384 - Equation of Statepyhpc: CPU - Numba - 1048576 - Isoneutral Mixingaskap: tConvolve OpenMP - Degriddingaskap: tConvolve OpenMP - Griddingdolfyn: Computational Fluid Dynamicsshoc: OpenCL - Reductionfftw: Stock - 1D FFT Size 4096pyhpc: CPU - Numba - 262144 - Isoneutral Mixingecp-candle: P1B2pyhpc: CPU - PyTorch - 16384 - Isoneutral Mixingpyhpc: CPU - Aesara - 1048576 - Equation of Stateoctave-benchmark: fftw: Float + SSE - 2D FFT Size 32pyhpc: CPU - Numba - 16384 - Equation of Statepyhpc: CPU - JAX - 16384 - Isoneutral Mixingmafft: Multiple Sequence Alignment - LSU RNAshoc: OpenCL - Triadshoc: OpenCL - Bus Speed Readbackpyhpc: CPU - Numpy - 262144 - Equation of Stateshoc: OpenCL - Bus Speed Downloadpyhpc: CPU - Numba - 1048576 - Equation of Statescikit-learn: pyhpc: CPU - Aesara - 65536 - Equation of Statepyhpc: CPU - Numpy - 65536 - Isoneutral Mixingfftw: Stock - 1D FFT Size 32fftw: Stock - 2D FFT Size 32tnn: CPU - SqueezeNet v2parboil: OpenMP CUTCPfftw: Float + SSE - 1D FFT Size 32ffte: N=256, 1D Complex FFT Routinepyhpc: CPU - Numpy - 16384 - Equation of Stateshoc: OpenCL - FFT SPIntel 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 5600xtIntel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt40789186.748.522719.82032151569164623.2771.7491.8923.59016.6942.2641.11366637794.25851.4976365.5513.4115.3416.389.2910.3737.739.001.023.372.122.392.172.389.074691.8611294516672321.33274565.281.5322.2995.9724.892403.484382.831267210.01140688466232570.157710805125.07171415525.6646136774.284.638.166.646.693.0417.585.411.697.723.402.684.023.196.86202468012.2422183795083.1560.02130.2972004.441255.801.2990.0201.2632926.9801411380.09095569.399378.60.6371615.650.00210224.5646850.0281008.650.0170.013284.9891178.75253.5480.847224.7104.7237925458.44768686931.32712.83249.076256.9512.390.1340.0020.0130.0050.10700.1750.0090.2228.1470.1430.0120.0020.0080.0030.0950.4160.2850.29317.6105090.00417.513235.5260.0040.0900.0610.0520.0050.0111001550.0010.0300.0010.2022812.631484.8311.15821.2083183790.04331.7870.0030.0445.166796680.0010.0027.91515.628231.31260.05330.54380.0354.8830.0030.021227392279645.8983.3442433005955457.6015170240.00287.617342516191.338.322854.85429831450153325.2312.0542.2174.06018.4612.5591.23791035918.19748.2698817.4415.8917.3319.4110.6413.2443.9710.431.214.352.723.162.742.9810.744602.0211356815428741.33668558.721.6419.2396.4627.251401.56403.7291542850.01042897441725089.993604089115.21664715404.2777008615.834.7310.037.466.843.9619.807.092.719.344.273.654.764.057.40221351313.6588180152088.9630.01532.2061966.151231.731.3010.0201.1436426.6771592530.06993959.497487.40.6441355.370.0019116.4555090.027993.750.0160.013254.5971140.35243.7960.845262.5144.9095976321.61722341871.32513.27554.547757.1912.020.1340.0020.0130.0040.10960.1780.0090.2228.5530.1440.0110.0010.0070.0020.0940.4540.2800.29015.3816020.00516.792237.6010.0030.0970.0600.0540.0040.011806670.0010.0280.0010.2013423.091826.9511.04217.9097182790.04328.4050.0030.0445.108758860.0010.0028.01318.379538.43180.05238.52580.0365.0690.0030.024231172347746.5883.280331300470.00298.136543336138.338.413987.71530461402164426.6872.6132.5654.64022.6222.8651.26152247887.1456.6459596.8014.8517.6220.0111.2311.7440.6110.341.214.472.882.672.753.1011.065202.1311349415815432.21280422.782.2919.57109.6529.514409.434398.30189096.60.01345034457926580.090189963112.27617915539.0737398013.714.308.146.116.412.3416.965.101.437.652.722.073.642.616.72156419313.9616141336380.6830.05533.5611970.571171.041.2990.020.9495725.6761098930.22374706.978810.50.7791439.630.0019209.7488380.034821.380.0160.031228.412700.104255.3220.837486.5585.2050185932.11761950001.34314.74165.9565713.0614.580.1700.0020.0140.0040.10970.1790.0090.2278.1080.1440.0110.0040.0090.0020.0930.4590.4990.29017.8822860.00516.524230.4590.0040.1010.0610.1110.0130.011785730.0010.0370.0010.0010.2012873.341584.9711.05716.8136178760.04328.6930.0090.0445.069750320.0010.0028.18318.434836.04490.05335.19060.0368.1930.0030.024232402362245.5002.629929297800.002101.122OpenBenchmarking.org

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt9K18K27K36K45KSE +/- 932.44, N = 7SE +/- 293.32, N = 3SE +/- 522.29, N = 9425164078943336-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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt4080120160200SE +/- 18.74, N = 9SE +/- 2.66, N = 12SE +/- 0.42, N = 3191.33186.74138.331. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt246810SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.25, N = 98.328.528.41

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt9001800270036004500SE +/- 40.36, N = 3SE +/- 2.71, N = 3SE +/- 299.40, N = 92854.852719.823987.72MIN: 2660.43 / MAX: 3772.17-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 2625.5 / MAX: 3184.86MIN: 2619.64 / MAX: 5569.921. (CXX) g++ options: -O3 -march=native -fopenmp -pthread -fvisibility=hidden -fvisibility=default -rdynamic -ldl

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt7001400210028003500298332153046

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt30060090012001500145015691402

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt400800120016002000153316461644

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt612182430SE +/- 0.55, N = 15SE +/- 0.05, N = 15SE +/- 0.37, N = 1225.2323.2826.69MIN: 20.75 / MAX: 242.75-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 20.16 / MAX: 153.62MIN: 22.92 / MAX: 195.791. (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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.58791.17581.76372.35162.9395SE +/- 0.066, N = 15SE +/- 0.016, N = 15SE +/- 0.016, N = 122.0541.7492.613MIN: 1.55 / MAX: 55.56-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 1.51 / MAX: 60.38MIN: 2.48 / MAX: 16.011. (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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.57711.15421.73132.30842.8855SE +/- 0.076, N = 15SE +/- 0.021, N = 15SE +/- 0.050, N = 122.2171.8922.565MIN: 1.65 / MAX: 59.17-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 1.59 / MAX: 22.25MIN: 2.04 / MAX: 63.681. (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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt1.0442.0883.1324.1765.22SE +/- 0.128, N = 15SE +/- 0.051, N = 15SE +/- 0.105, N = 124.0603.5904.640MIN: 2.94 / MAX: 82.76-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 2.83 / MAX: 78.46MIN: 3.45 / MAX: 47.31. (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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt510152025SE +/- 0.50, N = 15SE +/- 0.06, N = 15SE +/- 0.57, N = 1218.4616.6922.62MIN: 14.88 / MAX: 173.91-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 14.63 / MAX: 104.64MIN: 19.41 / MAX: 83.451. (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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.64461.28921.93382.57843.223SE +/- 0.078, N = 15SE +/- 0.022, N = 15SE +/- 0.110, N = 122.5592.2642.865MIN: 1.99 / MAX: 49.19-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 1.95 / MAX: 45.84MIN: 2.23 / MAX: 52.161. (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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.28370.56740.85111.13481.4185SE +/- 0.037, N = 15SE +/- 0.016, N = 15SE +/- 0.017, N = 121.2371.1131.261MIN: 0.95 / MAX: 40.28-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 0.93 / MAX: 16.19MIN: 1.08 / MAX: 48.361. (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

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt20K40K60K80K100KSE +/- 3031.05, N = 12SE +/- 1166.72, N = 15SE +/- 713.19, N = 15910356663752247-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

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt2004006008001000918.20794.26887.14

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt1326395265SE +/- 1.02, N = 15SE +/- 0.84, N = 15SE +/- 0.68, N = 1548.2751.5056.651. (CXX) g++ options: -lm -lpthread -lgomp -O3 -ffast-math -fopenmp

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: regnety_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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt246810SE +/- 0.55, N = 15SE +/- 0.01, N = 15SE +/- 0.20, N = 157.445.556.80MIN: 5.34 / MAX: 398.2-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 4.92 / MAX: 31.26MIN: 6.23 / MAX: 15.861. (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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt48121620SE +/- 0.72, N = 15SE +/- 0.02, N = 15SE +/- 0.52, N = 1515.8913.4114.85MIN: 12.62 / MAX: 489.07-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 12.41 / MAX: 45.1MIN: 13.57 / MAX: 63.11. (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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt48121620SE +/- 0.43, N = 15SE +/- 0.13, N = 15SE +/- 0.44, N = 1517.3315.3417.62MIN: 14.49 / MAX: 220.15-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 13.6 / MAX: 60.85MIN: 15.29 / MAX: 370.581. (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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt510152025SE +/- 0.58, N = 15SE +/- 0.11, N = 15SE +/- 0.32, N = 1519.4116.3820.01MIN: 15.46 / MAX: 404.54-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 14.75 / MAX: 169.63MIN: 18.29 / MAX: 72.61. (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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt3691215SE +/- 0.31, N = 15SE +/- 0.05, N = 15SE +/- 0.06, N = 1510.649.2911.23MIN: 8.84 / MAX: 348.67-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 8.58 / MAX: 188.45MIN: 10.78 / MAX: 35.581. (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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt3691215SE +/- 0.65, N = 15SE +/- 0.05, N = 15SE +/- 0.21, N = 1513.2410.3711.74MIN: 9.67 / MAX: 377.98-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 9.43 / MAX: 107.77MIN: 10.66 / MAX: 43.481. (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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt1020304050SE +/- 1.09, N = 15SE +/- 0.15, N = 15SE +/- 0.40, N = 1543.9737.7340.61MIN: 36.31 / MAX: 485.44-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 35.14 / MAX: 288.51MIN: 38.83 / MAX: 98.351. (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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt3691215SE +/- 0.39, N = 15SE +/- 0.15, N = 15SE +/- 0.27, N = 1510.439.0010.34MIN: 8.03 / MAX: 223.75-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 7.77 / MAX: 212.02MIN: 9.1 / MAX: 35.141. (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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.27230.54460.81691.08921.3615SE +/- 0.04, N = 15SE +/- 0.00, N = 15SE +/- 0.04, N = 151.211.021.21MIN: 0.93 / MAX: 35.68-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 0.93 / MAX: 3.99MIN: 1.05 / MAX: 6.941. (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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt1.00582.01163.01744.02325.029SE +/- 0.20, N = 15SE +/- 0.02, N = 15SE +/- 0.12, N = 154.353.374.47MIN: 3.03 / MAX: 261.53-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 2.95 / MAX: 16.3MIN: 3.96 / MAX: 34.651. (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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.6481.2961.9442.5923.24SE +/- 0.12, N = 14SE +/- 0.01, N = 14SE +/- 0.12, N = 152.722.122.88MIN: 1.95 / MAX: 218.37-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 1.86 / MAX: 5.63MIN: 2.43 / MAX: 186.851. (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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.7111.4222.1332.8443.555SE +/- 0.31, N = 15SE +/- 0.01, N = 14SE +/- 0.07, N = 143.162.392.67MIN: 2.17 / MAX: 324.42-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 2.14 / MAX: 6.73MIN: 2.45 / MAX: 10.631. (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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.61881.23761.85642.47523.094SE +/- 0.12, N = 15SE +/- 0.01, N = 15SE +/- 0.09, N = 152.742.172.75MIN: 1.97 / MAX: 173.37-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 1.87 / MAX: 11.1MIN: 2.43 / MAX: 270.921. (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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.69751.3952.09252.793.4875SE +/- 0.12, N = 15SE +/- 0.01, N = 15SE +/- 0.15, N = 152.982.383.10MIN: 2.18 / MAX: 280.99-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 2.09 / MAX: 19.16MIN: 2.73 / MAX: 4101. (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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt3691215SE +/- 0.34, N = 15SE +/- 0.12, N = 15SE +/- 0.31, N = 1510.749.0711.06MIN: 8.38 / MAX: 272.88-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 7.88 / MAX: 149.11MIN: 9.8 / MAX: 493.361. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt110220330440550SE +/- 1.48, N = 3SE +/- 0.44, N = 3SE +/- 4.64, N = 12460469520-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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.47950.9591.43851.9182.3975SE +/- 0.004, N = 3SE +/- 0.001, N = 3SE +/- 0.100, N = 152.0211.8612.131

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt3K6K9K12K15KSE +/- 25.36, N = 3SE +/- 108.98, N = 8SE +/- 24.06, N = 3135681294513494-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect1. (CC) gcc options: -pthread -O3 -march=native -lm

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: 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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt400K800K1200K1600K2000KSE +/- 87626.15, N = 15SE +/- 76015.19, N = 12SE +/- 38770.78, N = 15154287416672321581543-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

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.49770.99541.49311.99082.4885SE +/- 0.016, N = 3SE +/- 0.001, N = 3SE +/- 0.018, N = 91.3361.3322.212

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt20406080100SE +/- 0.75, N = 5SE +/- 0.00, N = 3SE +/- 0.67, N = 3687480-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

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt120240360480600SE +/- 2.34, N = 3SE +/- 1.21, N = 3SE +/- 2.53, N = 3558.72565.28422.78

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.51531.03061.54592.06122.5765SE +/- 0.02, N = 15SE +/- 0.02, N = 15SE +/- 0.02, N = 31.641.532.29

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt510152025SE +/- 0.22, N = 4SE +/- 0.07, N = 3SE +/- 0.24, N = 419.2322.2919.57

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt20406080100SE +/- 0.15, N = 3SE +/- 0.33, N = 3SE +/- 0.88, N = 396.4695.97109.65

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt714212835SE +/- 0.37, N = 15SE +/- 0.23, N = 15SE +/- 1.33, N = 1527.2524.8929.51

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt90180270360450401.56403.48409.43

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt90180270360450403.73382.83398.30

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt30K60K90K120K150KSE +/- 6529.38, N = 12SE +/- 95.70, N = 3SE +/- 609.47, N = 3154285.0126721.089096.6

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: 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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.00290.00580.00870.01160.0145SE +/- 0.000, N = 15SE +/- 0.000, N = 15SE +/- 0.001, N = 120.0100.0110.013

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt10K20K30K40K50KSE +/- 105.96, N = 3SE +/- 181.26, N = 3SE +/- 46.94, N = 3428974068845034-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

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt10002000300040005000SE +/- 5.07, N = 3SE +/- 24.67, N = 3SE +/- 7.52, N = 3441746624579-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

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt7K14K21K28K35KSE +/- 1308.12, N = 13SE +/- 274.39, N = 3SE +/- 100.69, N = 325089.9932570.1626580.091. (CXX) g++ options: -O3 -std=c++11 -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 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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt306090120150SE +/- 0.18, N = 3SE +/- 0.07, N = 3SE +/- 0.15, N = 3115.22125.07112.281. (CXX) g++ options: -lm -lpthread -lgomp -O3 -ffast-math -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: 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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt3K6K9K12K15KSE +/- 137.15, N = 3SE +/- 177.47, N = 3SE +/- 375.06, N = 1215404.2815525.6615539.071. (CXX) g++ options: -O3 -std=c++11 -fopenmp

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt1.31182.62363.93545.24726.559SE +/- 1.34, N = 3SE +/- 0.09, N = 15SE +/- 0.05, N = 95.834.283.71MIN: 3.47 / MAX: 39.09-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 3.49 / MAX: 28.51MIN: 3.44 / MAX: 27.731. (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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt1.06432.12863.19294.25725.3215SE +/- 0.35, N = 3SE +/- 0.04, N = 15SE +/- 0.06, N = 94.734.634.30MIN: 3.77 / MAX: 44.23-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 3.77 / MAX: 53.14MIN: 3.76 / MAX: 18.021. (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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt3691215SE +/- 1.16, N = 3SE +/- 0.03, N = 15SE +/- 0.02, N = 910.038.168.14MIN: 7.85 / MAX: 80.22-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 7.45 / MAX: 57.64MIN: 7.82 / MAX: 19.981. (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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt246810SE +/- 1.23, N = 3SE +/- 0.08, N = 15SE +/- 0.04, N = 97.466.646.11MIN: 5.65 / MAX: 33.99-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 5.66 / MAX: 49.12MIN: 5.6 / MAX: 31.191. (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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt246810SE +/- 0.55, N = 3SE +/- 0.06, N = 15SE +/- 0.14, N = 96.846.696.41MIN: 5.56 / MAX: 36.9-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 5.55 / MAX: 48.95MIN: 5.54 / MAX: 27.791. (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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.8911.7822.6733.5644.455SE +/- 1.09, N = 3SE +/- 0.05, N = 15SE +/- 0.09, N = 73.963.042.34MIN: 2.04 / MAX: 34.37-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 2.03 / MAX: 39.18MIN: 1.95 / MAX: 34.311. (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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt510152025SE +/- 2.77, N = 3SE +/- 0.12, N = 15SE +/- 0.08, N = 919.8017.5816.96MIN: 15.66 / MAX: 57.67-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 15.73 / MAX: 64.58MIN: 15.75 / MAX: 62.691. (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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt246810SE +/- 1.19, N = 3SE +/- 0.07, N = 15SE +/- 0.06, N = 97.095.415.10MIN: 4.73 / MAX: 34.54-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 4.74 / MAX: 36.71MIN: 4.68 / MAX: 29.191. (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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.60981.21961.82942.43923.049SE +/- 0.30, N = 3SE +/- 0.03, N = 15SE +/- 0.02, N = 92.711.691.43MIN: 1.3 / MAX: 55.08-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 1.29 / MAX: 28.85MIN: 1.17 / MAX: 22.731. (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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt3691215SE +/- 1.47, N = 3SE +/- 0.04, N = 15SE +/- 0.05, N = 99.347.727.65MIN: 7.17 / MAX: 38.24-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 7.18 / MAX: 34.33MIN: 7.2 / MAX: 28.561. (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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.96081.92162.88243.84324.804SE +/- 1.10, N = 3SE +/- 0.09, N = 15SE +/- 0.06, N = 94.273.402.72MIN: 2.5 / MAX: 32.54-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 2.5 / MAX: 33.07MIN: 2.46 / MAX: 25.531. (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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.82131.64262.46393.28524.1065SE +/- 0.97, N = 3SE +/- 0.04, N = 15SE +/- 0.02, N = 93.652.682.07MIN: 1.88 / MAX: 35.3-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 1.86 / MAX: 25.24MIN: 1.82 / MAX: 24.551. (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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt1.0712.1423.2134.2845.355SE +/- 0.44, N = 3SE +/- 0.05, N = 15SE +/- 0.05, N = 94.764.023.64MIN: 3.33 / MAX: 28.56-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 3.28 / MAX: 27.17MIN: 3.28 / MAX: 24.441. (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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.91131.82262.73393.64524.5565SE +/- 0.50, N = 3SE +/- 0.04, N = 15SE +/- 0.04, N = 94.053.192.61MIN: 2.44 / MAX: 30.19-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 2.43 / MAX: 25.75MIN: 2.38 / MAX: 19.161. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt246810SE +/- 0.10, N = 3SE +/- 0.07, N = 15SE +/- 0.06, N = 97.406.866.72MIN: 6.41 / MAX: 52.12-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 6.23 / MAX: 45.95MIN: 6.36 / MAX: 35.891. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread -pthread

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt500K1000K1500K2000K2500KSE +/- 8085.58, N = 3SE +/- 1345.60, N = 3SE +/- 2696.20, N = 3221351320246801564193

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt48121620SE +/- 0.12, N = 15SE +/- 0.18, N = 15SE +/- 0.12, N = 1513.6612.2413.96-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

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt400K800K1200K1600K2000KSE +/- 380.18, N = 3SE +/- 2113.91, N = 3SE +/- 972.87, N = 3180152018379501413363

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt20406080100SE +/- 1.01, N = 3SE +/- 0.90, N = 3SE +/- 0.85, N = 388.9683.1680.68

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: 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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.01240.02480.03720.04960.062SE +/- 0.000, N = 3SE +/- 0.000, N = 15SE +/- 0.000, N = 30.0150.0210.055

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt816243240SE +/- 0.12, N = 3SE +/- 0.16, N = 3SE +/- 0.31, N = 1532.2130.3033.56

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt400800120016002000SE +/- 15.85, N = 3SE +/- 2.06, N = 3SE +/- 1.70, N = 31966.152004.441970.571. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt30060090012001500SE +/- 2.99, N = 3SE +/- 0.45, N = 3SE +/- 0.43, N = 31231.731255.801171.041. (CXX) g++ options: -O3 -fstrict-aliasing -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: 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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.29270.58540.87811.17081.4635SE +/- 0.003, N = 3SE +/- 0.001, N = 3SE +/- 0.004, N = 31.3011.2991.299

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.00450.0090.01350.0180.0225SE +/- 0.000, N = 15SE +/- 0.000, N = 4SE +/- 0.000, N = 30.0200.0200.020

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.28420.56840.85261.13681.421SE +/- 0.00123, N = 3SE +/- 0.01507, N = 3SE +/- 0.00925, N = 31.143641.263290.94957

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt612182430SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.66, N = 1526.6826.9825.681. (F9X) gfortran options: -O3 -cpp -ffree-line-length-0 -Jsource/ -fopenmp -fno-backtrace -lcfitsio

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt30K60K90K120K150KSE +/- 701.15, N = 3SE +/- 86.06, N = 3SE +/- 195.44, N = 3159253141138109893

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: 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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.05020.10040.15060.20080.251SE +/- 0.002, N = 15SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0690.0900.223

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt20K40K60K80K100KSE +/- 153.26, N = 3SE +/- 70.47, N = 3SE +/- 1007.74, N = 393959.495569.374706.9

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt20K40K60K80K100KSE +/- 147.61, N = 3SE +/- 477.30, N = 3SE +/- 254.55, N = 397487.499378.678810.5

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.17530.35060.52590.70120.8765SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 30.6440.6370.779

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt30060090012001500SE +/- 12.00, N = 15SE +/- 3.29, N = 3SE +/- 27.64, N = 151355.371615.651439.631. (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: 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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.00050.0010.00150.0020.0025SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 150.0010.0020.001

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt2K4K6K8K10KSE +/- 32.30, N = 3SE +/- 6.21, N = 3SE +/- 67.32, N = 39116.4610224.569209.75-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect1. (CC) gcc options: -O3 -march=native -mavx2

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.00770.01540.02310.03080.0385SE +/- 0.000, N = 15SE +/- 0.000, N = 15SE +/- 0.001, N = 120.0270.0280.034

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt2004006008001000SE +/- 10.71, N = 5SE +/- 4.83, N = 3SE +/- 26.57, N = 15993.751008.65821.381. (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: 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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.00380.00760.01140.01520.019SE +/- 0.000, N = 3SE +/- 0.000, N = 15SE +/- 0.000, N = 30.0160.0170.016

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.0070.0140.0210.0280.035SE +/- 0.000, N = 15SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0130.0130.031

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: 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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt60120180240300SE +/- 4.42, N = 12SE +/- 1.08, N = 3SE +/- 3.17, N = 15254.60284.99228.41-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

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt30060090012001500SE +/- 4.47, N = 3SE +/- 9.51, N = 9SE +/- 43.84, N = 151140.351178.75700.10-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect1. (CXX) g++ options: -O3 -march=native -rdynamic

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt60120180240300SE +/- 4.49, N = 15SE +/- 1.70, N = 15SE +/- 0.58, N = 3243.80253.55255.321. (CXX) g++ options: -O3 -fstrict-aliasing -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: 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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.19060.38120.57180.76240.953SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.005, N = 30.8450.8470.837

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt110220330440550SE +/- 2.18, N = 15SE +/- 1.06, N = 3SE +/- 0.45, N = 3262.51224.71486.56MIN: 221.83 / MAX: 377.5-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 219.21 / MAX: 248.29MIN: 479.58 / MAX: 559.421. (CXX) g++ options: -O3 -march=native -fopenmp -pthread -fvisibility=hidden -fvisibility=default -rdynamic -ldl

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt1.17112.34223.51334.68445.8555SE +/- 0.027431, N = 3SE +/- 0.007819, N = 3SE +/- 0.005750, N = 34.9095974.7237925.205018-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect1. (CC) gcc options: -O3 -march=native -fopenmp

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt14002800420056007000SE +/- 9.91, N = 3SE +/- 73.38, N = 3SE +/- 4.26, N = 36321.615458.445932.111. (CXX) g++ options: -O3 -fopenmp -Xlinker --enable-new-dtags -rpath -lmpicxx -lmpifort -lmpi -lrt -lpthread -ldl

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt16M32M48M64M80MSE +/- 688051.71, N = 3SE +/- 132255.44, N = 3SE +/- 396295.91, N = 3722341877686869376195000-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect1. (CXX) g++ 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: 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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.30220.60440.90661.20881.511SE +/- 0.001, N = 3SE +/- 0.004, N = 3SE +/- 0.003, N = 31.3251.3271.343

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt48121620SE +/- 0.14, N = 5SE +/- 0.09, N = 12SE +/- 0.54, N = 1213.2812.8314.74

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt1530456075SE +/- 0.25, N = 3SE +/- 0.29, N = 3SE +/- 0.20, N = 354.5549.0865.96

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt3691215SE +/- 0.06, N = 3SE +/- 0.05, N = 15SE +/- 0.54, N = 127.196.9513.06

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt48121620SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.26, N = 1212.0212.3914.58

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: 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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.03830.07660.11490.15320.1915SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.004, N = 120.1340.1340.170

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.00050.0010.00150.0020.0025SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0020.0020.002

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.00320.00640.00960.01280.016SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 150.0130.0130.014

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.00110.00220.00330.00440.0055SE +/- 0.000, N = 15SE +/- 0.000, N = 3SE +/- 0.000, N = 150.0040.0050.004

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.02470.04940.07410.09880.1235SE +/- 0.0013, N = 3SE +/- 0.0004, N = 3SE +/- 0.0057, N = 120.10960.10700.10971. R scripting front-end version 4.0.4 (2021-02-15)

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: 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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.04030.08060.12090.16120.2015SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.1780.1750.179

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.0020.0040.0060.0080.01SE +/- 0.000, N = 3SE +/- 0.000, N = 15SE +/- 0.000, N = 30.0090.0090.009

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.05110.10220.15330.20440.2555SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 30.2220.2220.227

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt246810SE +/- 0.066, N = 15SE +/- 0.074, N = 7SE +/- 0.085, N = 58.5538.1478.108

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.03240.06480.09720.12960.162SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 30.1440.1430.144

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.00270.00540.00810.01080.0135SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0110.0120.011

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.00090.00180.00270.00360.0045SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0010.0020.004

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.0020.0040.0060.0080.01SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0070.0080.009

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.00070.00140.00210.00280.0035SE +/- 0.000, N = 15SE +/- 0.000, N = 15SE +/- 0.000, N = 30.0020.0030.002

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.02140.04280.06420.08560.107SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 30.0940.0950.093

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.10330.20660.30990.41320.5165SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 30.4540.4160.459

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.11230.22460.33690.44920.5615SE +/- 0.003, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.2800.2850.499

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.06590.13180.19770.26360.3295SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 30.2900.2930.290

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt48121620SE +/- 0.09, N = 3SE +/- 0.12, N = 3SE +/- 0.17, N = 315.3817.6117.881. (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: 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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.00110.00220.00330.00440.0055SE +/- 0.000, N = 3SE +/- 0.000, N = 15SE +/- 0.000, N = 30.0050.0040.005

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt48121620SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 316.7917.5116.52-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect1. (CC) gcc options: -O3 -march=native -pedantic -fvisibility=hidden

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt50100150200250SE +/- 1.05, N = 3SE +/- 0.06, N = 3SE +/- 0.11, N = 3237.60235.53230.46MIN: 235.29 / MAX: 265.95-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 235.23 / MAX: 237MIN: 230.05 / MAX: 230.911. (CXX) g++ options: -O3 -march=native -fopenmp -pthread -fvisibility=hidden -fvisibility=default -rdynamic -ldl

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: 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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.00090.00180.00270.00360.0045SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0030.0040.004

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.02270.04540.06810.09080.1135SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 30.0970.0900.101

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.01370.02740.04110.05480.0685SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 30.0600.0610.061

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.0250.050.0750.10.125SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0540.0520.111

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.00290.00580.00870.01160.0145SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0040.0050.013

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.00250.0050.00750.010.0125SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0110.0110.011

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt20K40K60K80K100KSE +/- 367.77, N = 3SE +/- 688.36, N = 15SE +/- 827.63, N = 48066710015578573-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: 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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.00020.00040.00060.00080.001SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 150.0010.0010.001

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.00830.01660.02490.03320.0415SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0280.0300.037

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: JAX - Project Size: 65536 - Benchmark: Equation of StateIntel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.00020.00040.00060.00080.001SE +/- 0.000, N = 30.001

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.

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.00020.00040.00060.00080.001SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0010.0010.001

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.04550.0910.13650.1820.2275SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.2010.2020.201

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 - 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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt7001400210028003500SE +/- 25.80, N = 5SE +/- 9.94, N = 3SE +/- 10.37, N = 33423.092812.632873.341. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt400800120016002000SE +/- 18.90, N = 5SE +/- 10.00, N = 3SE +/- 9.49, N = 31826.951484.831584.971. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt3691215SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 311.0411.1611.06

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt510152025SE +/- 0.08, N = 3SE +/- 0.29, N = 3SE +/- 0.15, N = 317.9121.2116.81-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

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt4K8K12K16K20KSE +/- 117.70, N = 3SE +/- 141.46, N = 14SE +/- 29.78, N = 3182791837917876-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: 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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.00970.01940.02910.03880.0485SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0430.0430.043

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt71421283528.4131.7928.69

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: 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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.0020.0040.0060.0080.01SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0030.0030.009

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.00990.01980.02970.03960.0495SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0440.0440.044

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt1.16242.32483.48724.64965.812SE +/- 0.039, N = 5SE +/- 0.024, N = 5SE +/- 0.025, N = 55.1085.1665.069

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt20K40K60K80K100KSE +/- 618.46, N = 15SE +/- 1461.14, N = 15SE +/- 820.18, N = 3758867966875032-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: 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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.00020.00040.00060.00080.001SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0010.0010.001

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.00050.0010.00150.0020.0025SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0020.0020.002

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt246810SE +/- 0.009, N = 3SE +/- 0.051, N = 3SE +/- 0.069, N = 38.0137.9158.1831. (CC) gcc options: -std=c99 -O3 -lm -lpthread

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: 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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt510152025SE +/- 0.16, N = 15SE +/- 0.29, N = 15SE +/- 0.20, N = 418.3815.6318.43-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 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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt918273645SE +/- 1.55, N = 15SE +/- 1.21, N = 15SE +/- 1.03, N = 1438.4331.3136.04-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

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.01190.02380.03570.04760.0595SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0520.0530.053

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 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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt918273645SE +/- 1.64, N = 15SE +/- 1.01, N = 12SE +/- 1.31, N = 1538.5330.5435.19-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

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.00810.01620.02430.03240.0405SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0360.0350.036

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt246810SE +/- 0.045, N = 3SE +/- 0.009, N = 3SE +/- 0.002, N = 35.0694.8838.193

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: 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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.00070.00140.00210.00280.0035SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0030.0030.003

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.

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

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.00540.01080.01620.02160.027SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0240.0210.024

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt5K10K15K20K25KSE +/- 122.88, N = 3SE +/- 1.86, N = 3SE +/- 13.78, N = 3231172273923240-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect1. (CC) gcc options: -pthread -O3 -march=native -lm

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt5K10K15K20K25KSE +/- 178.70, N = 3SE +/- 214.39, N = 3SE +/- 102.46, N = 3234772279623622-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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt1122334455SE +/- 0.22, N = 3SE +/- 0.32, N = 3SE +/- 0.08, N = 346.5945.9045.50MIN: 45.39 / MAX: 53.21-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect - MIN: 45.05 / MAX: 46.7MIN: 45.08 / MAX: 45.931. (CXX) g++ options: -O3 -march=native -fopenmp -pthread -fvisibility=hidden -fvisibility=default -rdynamic -ldl

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.75251.5052.25753.013.7625SE +/- 0.007364, N = 3SE +/- 0.021224, N = 3SE +/- 0.008479, N = 33.2803313.3442432.6299291. (CXX) g++ options: -lm -lpthread -lgomp -O3 -ffast-math -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: 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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt6K12K18K24K30KSE +/- 192.25, N = 3SE +/- 235.28, N = 3SE +/- 6.89, N = 3300473005929780-mavx512f -mavx512dq -mavx512ifma -mavx512cd -mavx512bw -mavx512vl -mavx512bf16 -mavx512vbmi -mavx512vbmi2 -mavx512vnni -mavx512bitalg -mavx512vpopcntdq -mavx512vp2intersect1. (CC) gcc options: -pthread -O3 -march=native -lm

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

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: 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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt0.00050.0010.00150.0020.0025SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0020.0020.002

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 Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt20406080100SE +/- 0.45, N = 3SE +/- 1.24, N = 3SE +/- 0.08, N = 398.1487.62101.12-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

168 Results Shown

FFTW
CloverLeaf
PlaidML
TNN
AI Benchmark Alpha:
  Device AI Score
  Device Training Score
  Device Inference Score
Mobile Neural Network:
  inception-v3
  mobilenet-v1-1.0
  MobileNetV2_224
  SqueezeNetV1.0
  resnet-v2-50
  squeezenetv1.1
  mobilenetV3
OpenCV
ECP-CANDLE
Parboil
NCNN:
  CPU - regnety_400m
  CPU - squeezenet_ssd
  CPU - yolov4-tiny
  CPU - resnet50
  CPU - alexnet
  CPU - resnet18
  CPU - vgg16
  CPU - googlenet
  CPU - blazeface
  CPU - efficientnet-b0
  CPU - mnasnet
  CPU - shufflenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU-v2-v2 - mobilenet-v2
  CPU - mobilenet
ONNX Runtime
PyHPC Benchmarks
FFTW
SHOC Scalable HeterOgeneous Computing
PyHPC Benchmarks
ONNX Runtime
Numpy Benchmark
Mlpack Benchmark
PlaidML
Mlpack Benchmark
Numenta Anomaly Benchmark
ECP-CANDLE
CP2K Molecular Dynamics
TensorFlow Lite
PyHPC Benchmarks
ONNX Runtime:
  shufflenet-v2-10 - CPU
  super-resolution-10 - CPU
Darmstadt Automotive Parallel Heterogeneous Suite
Parboil
Darmstadt Automotive Parallel Heterogeneous Suite
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
  Vulkan GPU - mobilenet
TensorFlow Lite
SHOC Scalable HeterOgeneous Computing
TensorFlow Lite
Numenta Anomaly Benchmark
PyHPC Benchmarks
Numenta Anomaly Benchmark
ASKAP:
  tConvolve MT - Degridding
  tConvolve MT - Gridding
PyHPC Benchmarks:
  CPU - Aesara - 4194304 - Isoneutral Mixing
  CPU - TensorFlow - 1048576 - Equation of State
NAMD
Nebular Empirical Analysis Tool
TensorFlow Lite
PyHPC Benchmarks
TensorFlow Lite:
  Mobilenet Float
  Mobilenet Quant
PyHPC Benchmarks
Darmstadt Automotive Parallel Heterogeneous Suite
PyHPC Benchmarks
Himeno Benchmark
PyHPC Benchmarks
Darmstadt Automotive Parallel Heterogeneous Suite
PyHPC Benchmarks:
  CPU - Aesara - 65536 - Isoneutral Mixing
  CPU - PyTorch - 65536 - Isoneutral Mixing
SHOC Scalable HeterOgeneous Computing
ArrayFire
ASKAP
PyHPC Benchmarks
TNN
ACES DGEMM
miniFE
Kripke
PyHPC Benchmarks
Numenta Anomaly Benchmark
DeepSpeech
Mlpack Benchmark:
  scikit_svm
  scikit_ica
PyHPC Benchmarks:
  CPU - JAX - 1048576 - Isoneutral Mixing
  CPU - Numba - 65536 - Equation of State
  CPU - Numpy - 65536 - Equation of State
  CPU - TensorFlow - 262144 - Equation of State
R Benchmark
PyHPC Benchmarks:
  CPU - Aesara - 4194304 - Equation of State
  CPU - Numba - 262144 - Equation of State
  CPU - Numpy - 1048576 - Equation of State
Numenta Anomaly Benchmark
PyHPC Benchmarks:
  CPU - Numba - 4194304 - Equation of State
  CPU - Numba - 65536 - Isoneutral Mixing
  CPU - PyTorch - 65536 - Equation of State
  CPU - JAX - 1048576 - Equation of State
  CPU - Numba - 16384 - Isoneutral Mixing
  CPU - TensorFlow - 4194304 - Equation of State
  CPU - Numpy - 1048576 - Isoneutral Mixing
  CPU - PyTorch - 1048576 - Isoneutral Mixing
  CPU - Aesara - 1048576 - Isoneutral Mixing
Parboil
PyHPC Benchmarks
RNNoise
TNN
PyHPC Benchmarks:
  CPU - Aesara - 16384 - Isoneutral Mixing
  CPU - Numpy - 262144 - Isoneutral Mixing
  CPU - Aesara - 262144 - Isoneutral Mixing
  CPU - PyTorch - 262144 - Isoneutral Mixing
  CPU - PyTorch - 262144 - Equation of State
  CPU - Aesara - 262144 - Equation of State
FFTW
PyHPC Benchmarks:
  CPU - JAX - 262144 - Equation of State
  CPU - JAX - 4194304 - Equation of State
  CPU - JAX - 65536 - Equation of State
  CPU - Aesara - 16384 - Equation of State
  CPU - Numba - 1048576 - Isoneutral Mixing
ASKAP:
  tConvolve OpenMP - Degridding
  tConvolve OpenMP - Gridding
Dolfyn
SHOC Scalable HeterOgeneous Computing
FFTW
PyHPC Benchmarks
ECP-CANDLE
PyHPC Benchmarks:
  CPU - PyTorch - 16384 - Isoneutral Mixing
  CPU - Aesara - 1048576 - Equation of State
GNU Octave Benchmark
FFTW
PyHPC Benchmarks:
  CPU - Numba - 16384 - Equation of State
  CPU - JAX - 16384 - Isoneutral Mixing
Timed MAFFT Alignment
SHOC Scalable HeterOgeneous Computing:
  OpenCL - Triad
  OpenCL - Bus Speed Readback
PyHPC Benchmarks
SHOC Scalable HeterOgeneous Computing
PyHPC Benchmarks
Scikit-Learn
PyHPC Benchmarks:
  CPU - Aesara - 65536 - Equation of State
  CPU - Numpy - 65536 - Isoneutral Mixing
FFTW:
  Stock - 1D FFT Size 32
  Stock - 2D FFT Size 32
TNN
Parboil
FFTW
FFTE
PyHPC Benchmarks
SHOC Scalable HeterOgeneous Computing