12700k HPC+OpenCL AVX512 performance profiling

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 6GB 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 2112125-TJ-12700KHPC62
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Limit displaying results to tests within:

Bioinformatics 5 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 5 Tests
C++ Boost Tests 4 Tests
C/C++ Compiler Tests 6 Tests
CPU Massive 13 Tests
Creator Workloads 4 Tests
HPC - High Performance Computing 32 Tests
LAPACK (Linear Algebra Pack) Tests 3 Tests
Linear Algebra 3 Tests
Machine Learning 9 Tests
Molecular Dynamics 7 Tests
MPI Benchmarks 7 Tests
Multi-Core 9 Tests
NVIDIA GPU Compute 6 Tests
OpenCL 4 Tests
OpenMPI Tests 15 Tests
Programmer / Developer System Benchmarks 3 Tests
Python Tests 3 Tests
Scientific Computing 17 Tests
Server CPU Tests 5 Tests
Single-Threaded 3 Tests
Speech 2 Tests
Telephony 2 Tests
Common Workstation Benchmarks 2 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Disable Color Branding
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
12700k AVX512 march=sapphirerapids gcc 11.1 rx 5600xt
December 09 2021
  10 Hours, 32 Minutes
12700k AVX512 march=native + AVX512 gcc 11.1 rx 5600xt
December 11 2021
  8 Hours, 28 Minutes
Invert Hiding All Results Option
  9 Hours, 30 Minutes
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):

12700k HPC+OpenCL AVX512 performance profiling Suite 1.0.0 System Test suite extracted from 12700k HPC+OpenCL AVX512 performance profiling. pts/intel-mpi-1.0.1 IMB-MPI1 Exchange Test: IMB-MPI1 Exchange pts/intel-mpi-1.0.1 IMB-MPI1 PingPong Test: IMB-MPI1 PingPong pts/intel-mpi-1.0.1 IMB-MPI1 Sendrecv Test: IMB-MPI1 Sendrecv pts/intel-mpi-1.0.1 IMB-P2P PingPong Test: IMB-P2P PingPong pts/minife-1.0.0 -‐nx 264 --ny 256 -‐nz 256 Problem Size: Small pts/amg-1.1.0 pts/shoc-1.2.0 -opencl -benchmark Triad Target: OpenCL - Benchmark: Triad pts/shoc-1.2.0 -opencl -benchmark Reduction Target: OpenCL - Benchmark: Reduction pts/shoc-1.2.0 -opencl -benchmark BusSpeedDownload Target: OpenCL - Benchmark: Bus Speed Download pts/shoc-1.2.0 -opencl -benchmark BusSpeedReadback Target: OpenCL - Benchmark: Bus Speed Readback pts/shoc-1.2.0 -opencl -benchmark DeviceMemory Target: OpenCL - Benchmark: Texture Read Bandwidth pts/cl-mem-1.0.1 COPY Benchmark: Copy pts/cl-mem-1.0.1 READ Benchmark: Read pts/cl-mem-1.0.1 WRITE Benchmark: Write pts/mt-dgemm-1.2.0 Sustained Floating-Point Rate pts/shoc-1.2.0 -opencl -benchmark S3D Target: OpenCL - Benchmark: S3D pts/shoc-1.2.0 -opencl -benchmark FFT Target: OpenCL - Benchmark: FFT SP pts/shoc-1.2.0 -opencl -benchmark GEMM Target: OpenCL - Benchmark: GEMM SGEMM_N pts/shoc-1.2.0 -opencl -benchmark MaxFlops Target: OpenCL - Benchmark: Max SP Flops pts/hpl-1.0.0 pts/arrayfire-1.1.0 blas_cpu Test: BLAS CPU pts/shoc-1.2.0 -opencl -benchmark MD5Hash Target: OpenCL - Benchmark: MD5 Hash pts/askap-2.1.0 tHogbomCleanOMP Test: Hogbom Clean OpenMP pts/fftw-1.2.0 fftw-stock/tests/bench --time-repeat 100 -opatient ibc32 Build: Stock - Size: 1D FFT Size 32 pts/fftw-1.2.0 fftw-stock/tests/bench --time-repeat 100 -opatient ibc32x32 Build: Stock - Size: 2D FFT Size 32 pts/fftw-1.2.0 fftw-stock/tests/bench --time-repeat 100 -opatient ibc4096 Build: Stock - Size: 1D FFT Size 4096 pts/fftw-1.2.0 fftw-stock/tests/bench --time-repeat 100 -opatient ibc4096x4096 Build: Stock - Size: 2D FFT Size 4096 pts/fftw-1.2.0 fftw-mr/tests/bench --time-repeat 100 -opatient ibc32 Build: Float + SSE - Size: 1D FFT Size 32 pts/fftw-1.2.0 fftw-mr/tests/bench --time-repeat 100 -opatient ibc32x32 Build: Float + SSE - Size: 2D FFT Size 32 pts/fftw-1.2.0 fftw-mr/tests/bench --time-repeat 100 -opatient ibc4096 Build: Float + SSE - Size: 1D FFT Size 4096 pts/fftw-1.2.0 fftw-mr/tests/bench --time-repeat 100 -opatient ibc4096x4096 Build: Float + SSE - Size: 2D FFT Size 4096 pts/himeno-1.3.0 Poisson Pressure Solver pts/askap-2.1.0 tConvolveMT Test: tConvolve MT - Gridding pts/askap-2.1.0 tConvolveMT Test: tConvolve MT - Degridding pts/askap-2.1.0 tConvolveOMP Test: tConvolve OpenMP - Gridding pts/askap-2.1.0 tConvolveOMP Test: tConvolve OpenMP - Degridding pts/askap-2.1.0 tConvolveMPI Test: tConvolve MPI - Degridding pts/askap-2.1.0 tConvolveMPI Test: tConvolve MPI - Gridding pts/lczero-1.6.0 -b blas Backend: BLAS pts/gromacs-1.6.0 mpi-build water-cut1.0_GMX50_bare/1536 Implementation: MPI CPU - Input: water_GMX50_bare pts/numpy-1.2.1 pts/daphne-1.0.0 OpenMP ndt_mapping Backend: OpenMP - Kernel: NDT Mapping pts/daphne-1.0.0 OpenMP points2image Backend: OpenMP - Kernel: Points2Image pts/daphne-1.0.0 OpenMP euclidean_cluster Backend: OpenMP - Kernel: Euclidean Cluster pts/lulesh-1.1.1 pts/namd-1.2.1 ATPase Simulation - 327,506 Atoms pts/pennant-1.1.0 sedovbig/sedovbig.pnt Test: sedovbig pts/pennant-1.1.0 leblancbig/leblancbig.pnt Test: leblancbig pts/tensorflow-lite-1.0.0 --graph=squeezenet.tflite Model: SqueezeNet pts/tensorflow-lite-1.0.0 --graph=inception_v4.tflite Model: Inception V4 pts/tensorflow-lite-1.0.0 --graph=nasnet_mobile.tflite Model: NASNet Mobile pts/tensorflow-lite-1.0.0 --graph=mobilenet_v1_1.0_224.tflite Model: Mobilenet Float pts/tensorflow-lite-1.0.0 --graph=mobilenet_v1_1.0_224_quant.tflite Model: Mobilenet Quant pts/tensorflow-lite-1.0.0 --graph=inception_resnet_v2.tflite Model: Inception ResNet V2 pts/caffe-1.5.0 --model=../models/bvlc_alexnet/deploy.prototxt -iterations 100 Model: AlexNet - Acceleration: CPU - Iterations: 100 pts/caffe-1.5.0 --model=../models/bvlc_alexnet/deploy.prototxt -iterations 200 Model: AlexNet - Acceleration: CPU - Iterations: 200 pts/caffe-1.5.0 --model=../models/bvlc_alexnet/deploy.prototxt -iterations 1000 Model: AlexNet - Acceleration: CPU - Iterations: 1000 pts/caffe-1.5.0 --model=../models/bvlc_googlenet/deploy.prototxt -iterations 100 Model: GoogleNet - Acceleration: CPU - Iterations: 100 pts/caffe-1.5.0 --model=../models/bvlc_googlenet/deploy.prototxt -iterations 200 Model: GoogleNet - Acceleration: CPU - Iterations: 200 pts/caffe-1.5.0 --model=../models/bvlc_googlenet/deploy.prototxt -iterations 1000 Model: GoogleNet - Acceleration: CPU - Iterations: 1000 pts/onednn-1.7.0 --ip --batch=inputs/ip/shapes_1d --cfg=f32 --engine=cpu Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU pts/onednn-1.7.0 --ip --batch=inputs/ip/shapes_3d --cfg=f32 --engine=cpu Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU pts/onednn-1.7.0 --ip --batch=inputs/ip/shapes_1d --cfg=u8s8f32 --engine=cpu Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.7.0 --ip --batch=inputs/ip/shapes_3d --cfg=u8s8f32 --engine=cpu Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.7.0 --ip --batch=inputs/ip/shapes_1d --cfg=bf16bf16bf16 --engine=cpu Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-1.7.0 --ip --batch=inputs/ip/shapes_3d --cfg=bf16bf16bf16 --engine=cpu Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-1.7.0 --conv --batch=inputs/conv/shapes_auto --cfg=f32 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU pts/onednn-1.7.0 --deconv --batch=inputs/deconv/shapes_1d --cfg=f32 --engine=cpu Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU pts/onednn-1.7.0 --deconv --batch=inputs/deconv/shapes_3d --cfg=f32 --engine=cpu Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU pts/onednn-1.7.0 --conv --batch=inputs/conv/shapes_auto --cfg=u8s8f32 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.7.0 --deconv --batch=inputs/deconv/shapes_1d --cfg=u8s8f32 --engine=cpu Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.7.0 --deconv --batch=inputs/deconv/shapes_3d --cfg=u8s8f32 --engine=cpu Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.7.0 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=f32 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU pts/onednn-1.7.0 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=f32 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU pts/onednn-1.7.0 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=u8s8f32 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.7.0 --conv --batch=inputs/conv/shapes_auto --cfg=bf16bf16bf16 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-1.7.0 --deconv --batch=inputs/deconv/shapes_1d --cfg=bf16bf16bf16 --engine=cpu Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-1.7.0 --deconv --batch=inputs/deconv/shapes_3d --cfg=bf16bf16bf16 --engine=cpu Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-1.7.0 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=u8s8f32 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.7.0 --matmul --batch=inputs/matmul/shapes_transformer --cfg=f32 --engine=cpu Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU pts/onednn-1.7.0 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=bf16bf16bf16 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-1.7.0 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=bf16bf16bf16 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-1.7.0 --matmul --batch=inputs/matmul/shapes_transformer --cfg=u8s8f32 --engine=cpu Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.7.0 --matmul --batch=inputs/matmul/shapes_transformer --cfg=bf16bf16bf16 --engine=cpu Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU pts/parboil-1.2.1 lbm omp_cpu long Test: OpenMP LBM pts/parboil-1.2.1 cutcp omp_base large Test: OpenMP CUTCP pts/parboil-1.2.1 stencil omp_base default Test: OpenMP Stencil pts/parboil-1.2.1 mri-gridding omp_base small Test: OpenMP MRI Gridding pts/cp2k-1.3.0 -i benchmarks/Fayalite-FIST/fayalite.inp Input: Fayalite-FIST pts/mrbayes-1.5.0 Primate Phylogeny Analysis pts/hmmer-1.3.0 Pfam Database Search pts/mafft-1.6.2 Multiple Sequence Alignment - LSU RNA pts/openfoam-1.0.1 Motorbike 150 60 60 Input: Motorbike 30M pts/openfoam-1.0.1 Motorbike 300 120 120 Input: Motorbike 60M pts/relion-1.0.1 --iter 1 --cpu --j 2 Test: Basic - Device: CPU pts/deepspeech-1.0.0 CPU Acceleration: CPU pts/rbenchmark-1.0.3 pts/rnnoise-1.0.2 system/darktable-1.0.5 bench.SRW output.jpg --core -d opencl -d perf Test: Boat - Acceleration: OpenCL system/darktable-1.0.5 masskrug.NEF output.jpg --core -d opencl -d perf Test: Masskrug - Acceleration: OpenCL system/darktable-1.0.5 server-rack.dng output.jpg --core -d opencl -d perf Test: Server Rack - Acceleration: OpenCL system/darktable-1.0.5 server_room.NEF output.jpg --core -d opencl -d perf Test: Server Room - Acceleration: OpenCL system/octave-benchmark-1.0.1 pts/qmcpack-1.3.1 H2O/example_H2O-1-1 simple-H2O.xml Input: simple-H2O