Open Source Computer Vision Library https://opencv.org/

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opencv/modules/core/perf

History

Alexander Alekhin 40533dbf69 Merge pull request #24918 from opencv-pushbot:gitee/alalek/core_convertfp16_replacement ... core(OpenCL): optimize convertTo() with CV_16F (convertFp16() replacement) #24918 relates #24909 relates #24917 relates #24892 Performance changes: - [x] 12700K (1 thread) + Intel iGPU |Name of Test|noOCL|convertFp16|convertTo BASE|convertTo PATCH| |---|:-:|:-:|:-:|:-:| |ConvertFP16FP32MatMat::OCL_Core|3.130|3.152|3.127|3.136| |ConvertFP16FP32MatUMat::OCL_Core|3.030|3.996|3.007|2.671| |ConvertFP16FP32UMatMat::OCL_Core|3.010|3.101|3.056|2.854| |ConvertFP16FP32UMatUMat::OCL_Core|3.016|3.298|2.072|2.061| |ConvertFP32FP16MatMat::OCL_Core|2.697|2.652|2.723|2.721| |ConvertFP32FP16MatUMat::OCL_Core|2.752|4.268|2.662|2.947| |ConvertFP32FP16UMatMat::OCL_Core|2.706|2.601|2.603|2.528| |ConvertFP32FP16UMatUMat::OCL_Core|2.704|3.215|1.999|1.988| Patched version is not worse than convertFp16 and convertTo baseline (except MatUMat 32->16, baseline uses CPU code+dst buffer map). There are still gaps against noOpenCL(CPU only) mode due to T-API implementation issues (unnecessary synchronization). - [x] 12700K + AMD dGPU |Name of Test|noOCL|convertFp16 dGPU|convertTo BASE dGPU|convertTo PATCH dGPU| |---|:-:|:-:|:-:|:-:| |ConvertFP16FP32MatMat::OCL_Core|3.130|3.133|3.172|3.087| |ConvertFP16FP32MatUMat::OCL_Core|3.030|1.713|9.559|1.729| |ConvertFP16FP32UMatMat::OCL_Core|3.010|6.515|6.309|4.452| |ConvertFP16FP32UMatUMat::OCL_Core|3.016|0.242|23.597|0.170| |ConvertFP32FP16MatMat::OCL_Core|2.697|2.641|2.713|2.689| |ConvertFP32FP16MatUMat::OCL_Core|2.752|4.076|6.483|4.191| |ConvertFP32FP16UMatMat::OCL_Core|2.706|9.042|16.481|1.834| |ConvertFP32FP16UMatUMat::OCL_Core|2.704|0.229|15.730|0.176| convertTo-baseline can't compile OpenCL kernel for FP16 properly - FIXED. dGPU has much more power, so results are x16-17 better than single cpu core. Patched version is not worse than convertFp16 and convertTo baseline. There are still gaps against noOpenCL(CPU only) mode due to T-API implementation issues (unnecessary synchronization) and required memory transfers. Co-authored-by: Alexander Alekhin <alexander.a.alekhin@gmail.com>		11 months ago
..
cuda	…
opencl	Merge pull request #24918 from opencv-pushbot:gitee/alalek/core_convertfp16_replacement	11 months ago
perf_abs.cpp	…
perf_addWeighted.cpp	…
perf_allocation.cpp	Merge pull request #23109 from seanm:misc-warnings	1 year ago
perf_arithm.cpp	Merge pull request #24480 from savuor:backport_patch_nans	1 year ago
perf_bitwise.cpp	…
perf_compare.cpp	…
perf_convertTo.cpp	…
perf_cvround.cpp	…
perf_dft.cpp	…
perf_dot.cpp	…
perf_inRange.cpp	…
perf_io_base64.cpp	…
perf_lut.cpp	…
perf_main.cpp	…
perf_mat.cpp	…
perf_math.cpp	…
perf_merge.cpp	…
perf_minmaxloc.cpp	…
perf_norm.cpp	…
perf_precomp.hpp	…
perf_reduce.cpp	Merge pull request #13879 from chacha21:REDUCE_SUM2	2 years ago
perf_sort.cpp	…
perf_split.cpp	…
perf_stat.cpp	Merge pull request #22947 from chacha21:hasNonZero	2 years ago
perf_umat.cpp	…