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
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.
,,"12700k AVX512 march=sapphirerapids gcc 11.1 rx 5600xt","12700k AVX512 march=native + AVX512 gcc 11.1 rx 5600xt"
Processor,,Intel Core i7-12700K @ 6.30GHz (8 Cores / 16 Threads),Intel Core i7-12700K @ 6.30GHz (8 Cores / 16 Threads)
Motherboard,,MSI PRO Z690-A DDR4(MS-7D25) v1.0 (1.15 BIOS),MSI PRO Z690-A DDR4(MS-7D25) v1.0 (1.15 BIOS)
Chipset,,Intel Device 7aa7,Intel Device 7aa7
Memory,,32GB,32GB
Disk,,500GB Western Digital WDS500G2B0C-00PXH0 + 3 x 10001GB Seagate ST10000DM0004-1Z + 128GB HP SSD S700 Pro,500GB Western Digital WDS500G2B0C-00PXH0 + 3 x 10001GB Seagate ST10000DM0004-1Z + 300GB Western Digital WD3000GLFS-0 + 128GB HP SSD S700 Pro
Graphics,,Gigabyte AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 6GB (1650/750MHz),Gigabyte AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 6GB (1650/750MHz)
Audio,,Realtek ALC897,Realtek ALC897
Monitor,,LG HDR WQHD,LG HDR WQHD
Network,,Intel I225-V,Intel I225-V
OS,,Pop 21.04,Pop 21.04
Kernel,,5.15.5-76051505-generic (x86_64),5.15.5-76051505-generic (x86_64)
Desktop,,GNOME Shell 3.38.4,GNOME Shell 3.38.4
Display Server,,X Server 1.20.11,X Server 1.20.11
OpenGL,,4.6 Mesa 21.2.2 (LLVM 12.0.0),4.6 Mesa 21.2.2 (LLVM 12.0.0)
OpenCL,,OpenCL 2.2 AMD-APP (3361.0),OpenCL 2.2 AMD-APP (3361.0)
Vulkan,,1.2.185,1.2.185
Compiler,,GCC 11.1.0,GCC 11.1.0
File-System,,ext4,ext4
Screen Resolution,,3440x1440,3440x1440
,,"12700k AVX512 march=sapphirerapids gcc 11.1 rx 5600xt","12700k AVX512 march=native + AVX512 gcc 11.1 rx 5600xt"
"Caffe - Model: GoogleNet - Acceleration: CPU - Iterations: 100 (ms)",LIB,79674,67852
"Caffe - Model: GoogleNet - Acceleration: CPU - Iterations: 200 (ms)",LIB,157272,136187
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,7.43204,6.72455
"SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: Max SP Flops (GFLOPS)",HIB,8376637,9031599
"CP2K Molecular Dynamics - Input: Fayalite-FIST (sec)",LIB,398.345,372.744
"Caffe - Model: GoogleNet - Acceleration: CPU - Iterations: 1000 (ms)",LIB,726541,680177
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,6.77334,6.34910
"LeelaChessZero - Backend: BLAS (Nodes/s)",HIB,906,959
"Pennant - Test: leblancbig (Hydro Cycle Time - sec)",LIB,49.93021,47.38740
"Darktable - Test: Boat - Acceleration: OpenCL (sec)",LIB,3.971,4.151
"Caffe - Model: AlexNet - Acceleration: CPU - Iterations: 1000 (ms)",LIB,247624,238435
"RNNoise - (sec)",LIB,16.509,17.119
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,1388.34,1341.61
"SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: Bus Speed Readback (GB/s)",HIB,20.3871,21.0509
"Pennant - Test: sedovbig (Hydro Cycle Time - sec)",LIB,69.89434,67.77358
"Darmstadt Automotive Parallel Heterogeneous Suite - Backend: OpenMP - Kernel: Points2Image (Test Cases/min)",HIB,35022.145431097,36114.808332258
"HPL Linpack - (GFLOPS)",HIB,97.554,100.593
"Intel MPI Benchmarks - Test: IMB-MPI1 PingPong (Mbytes/sec)",HIB,10004.46,10294.25
"ACES DGEMM - Sustained Floating-Point Rate (GFLOP/s)",HIB,4.875598,5.016124
"cl-mem - Benchmark: Write (GB/s)",HIB,255.3,248.4
"oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.565699,0.550588
"FFTW - Build: Float + SSE - Size: 2D FFT Size 32 (Mflops)",HIB,80496,82515
"Timed MAFFT Alignment - Multiple Sequence Alignment - LSU RNA (sec)",LIB,7.703,7.523
"SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: Triad (GB/s)",HIB,12.5997,12.3131
"Caffe - Model: AlexNet - Acceleration: CPU - Iterations: 100 (ms)",LIB,23122,23659
"FFTW - Build: Float + SSE - Size: 2D FFT Size 4096 (Mflops)",HIB,43900,42935
"ASKAP - Test: tConvolve OpenMP - Gridding (Million Grid Points/sec)",HIB,1866.30,1906.52
"FFTW - Build: Float + SSE - Size: 1D FFT Size 32 (Mflops)",HIB,32180,31560
"FFTW - Build: Stock - Size: 2D FFT Size 4096 (Mflops)",HIB,13770,14020
"RELION - Test: Basic - Device: CPU (sec)",LIB,1684.702,1656.713
"cl-mem - Benchmark: Copy (GB/s)",HIB,198.4,195.2
"Intel MPI Benchmarks - Test: IMB-MPI1 Sendrecv (Mbytes/sec)",HIB,12273.54,12471.89
"Intel MPI Benchmarks - Test: IMB-MPI1 Sendrecv (usec)",LIB,53.50,52.66
"Darktable - Test: Server Rack - Acceleration: OpenCL (sec)",LIB,0.133,0.131
"OpenFOAM - Input: Motorbike 30M (sec)",LIB,137.71,135.71
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2596.32,2560.48
"NAMD - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,1.16249,1.17871
"Intel MPI Benchmarks - Test: IMB-P2P PingPong (Msg/sec)",HIB,8628982,8513496
"oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,8.78268,8.89450
"oneDNN - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,3.56837,3.52788
"FFTW - Build: Stock - Size: 1D FFT Size 4096 (Mflops)",HIB,18293,18502
"Intel MPI Benchmarks - Test: IMB-MPI1 Exchange (Mbytes/sec)",HIB,15189.76,15023.98
"Numpy Benchmark - (Score)",HIB,618.63,612.18
"QMCPACK - Input: simple-H2O (Execution Time - sec)",LIB,17.950,18.126
"SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: GEMM SGEMM_N (GFLOPS)",HIB,1841.75,1859.40
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,13.2836,13.4080
"cl-mem - Benchmark: Read (GB/s)",HIB,263.6,261.2
"Caffe - Model: AlexNet - Acceleration: CPU - Iterations: 200 (ms)",LIB,46624,47045
"Himeno Benchmark - Poisson Pressure Solver (MFLOPS)",HIB,9471.738369,9554.056801
"SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: Bus Speed Download (GB/s)",HIB,20.1487,19.9782
"oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.685132,0.690873
"oneDNN - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,2.44545,2.46474
"Intel MPI Benchmarks - Test: IMB-MPI1 Exchange (usec)",LIB,109.01,108.21
"Timed MrBayes Analysis - Primate Phylogeny Analysis (sec)",LIB,73.794,74.339
"ASKAP - Test: Hogbom Clean OpenMP (Iterations/sec)",HIB,267.389,269.303
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.872683,0.878588
"ASKAP - Test: tConvolve MPI - Degridding (Mpix/sec)",HIB,4859.18,4889.74
"R Benchmark - (sec)",LIB,0.1044,0.1050
"FFTW - Build: Stock - Size: 2D FFT Size 32 (Mflops)",HIB,22948,22827
"GROMACS - Implementation: MPI CPU - Input: water_GMX50_bare (Ns/Day)",HIB,1.180,1.186
"Algebraic Multi-Grid Benchmark - (Figure Of Merit)",HIB,303975100,302617633
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1334.31,1328.42
"FFTW - Build: Float + SSE - Size: 1D FFT Size 4096 (Mflops)",HIB,103960,104417
"Darktable - Test: Server Room - Acceleration: OpenCL (sec)",LIB,3.012,2.999
"ASKAP - Test: tConvolve OpenMP - Degridding (Million Grid Points/sec)",HIB,3614.48,3599.35
"oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.93347,1.92539
"TensorFlow Lite - Model: SqueezeNet (us)",LIB,145830,145241
"OpenFOAM - Input: Motorbike 60M (sec)",LIB,867.20,864.00
"GNU Octave Benchmark - (sec)",LIB,5.080,5.064
"TensorFlow Lite - Model: Mobilenet Float (us)",LIB,97253.9,97559.5
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,2540.28,2532.45
"oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,2.58637,2.57885
"ASKAP - Test: tConvolve MT - Gridding (Million Grid Points/sec)",HIB,1245.64,1248.93
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,2585.15,2578.54
"Darmstadt Automotive Parallel Heterogeneous Suite - Backend: OpenMP - Kernel: Euclidean Cluster (Test Cases/min)",HIB,1671.51,1667.43
"Darktable - Test: Masskrug - Acceleration: OpenCL (sec)",LIB,3.827,3.818
"ArrayFire - Test: BLAS CPU (GFLOPS)",HIB,1205.09,1207.87
"DeepSpeech - Acceleration: CPU (sec)",LIB,48.85145,48.96052
"Parboil - Test: OpenMP Stencil (sec)",LIB,15.011457,14.980375
"Parboil - Test: OpenMP CUTCP (sec)",LIB,3.177141,3.183109
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,1337.47,1339.83
"oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,2.33613,2.33206
"SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: FFT SP (GFLOPS)",HIB,680.883,682.017
"TensorFlow Lite - Model: Inception ResNet V2 (us)",LIB,1878730,1881663
"Timed HMMer Search - Pfam Database Search (sec)",LIB,82.482,82.610
"SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: MD5 Hash (GHash/s)",HIB,9.3041,9.3179
"TensorFlow Lite - Model: Inception V4 (us)",LIB,2080110,2082823
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,13.3957,13.4115
"SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: Reduction (GB/s)",HIB,254.126,254.407
"oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,1.18583,1.18705
"SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: Texture Read Bandwidth (GB/s)",HIB,349.340,349.012
"LULESH - (z/s)",HIB,6872.8297,6878.6229
"miniFE - Problem Size: Small (CG Mflops)",HIB,6411.43,6407.12
"TensorFlow Lite - Model: NASNet Mobile (us)",LIB,124859,124941
"TensorFlow Lite - Model: Mobilenet Quant (us)",LIB,98345.3,98287.0
"Darmstadt Automotive Parallel Heterogeneous Suite - Backend: OpenMP - Kernel: NDT Mapping (Test Cases/min)",HIB,1033.44,1033.74
"Parboil - Test: OpenMP LBM (sec)",LIB,114.068817,114.096662
"ASKAP - Test: tConvolve MT - Degridding (Million Grid Points/sec)",HIB,2054.71,2054.38
"FFTW - Build: Stock - Size: 1D FFT Size 32 (Mflops)",HIB,22774,22777
"SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: S3D (GFLOPS)",HIB,125.078,125.070
"ASKAP - Test: tConvolve MPI - Gridding (Mpix/sec)",HIB,5046.07,5046.07
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,4.67789,4.67293
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.06856,1.07696
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,4.13169,4.23668
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,6.27787,6.60245
"Parboil - Test: OpenMP MRI Gridding (sec)",LIB,49.150711,48.567082