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Disable IPP with AVX512 in cv::compare because of performance regression.

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This commit is contained in:
Alexander Smorkalov
2025-12-26 09:19:28 +03:00
parent cff7581175
commit 2b1cf03a9d
1 changed files with 16 additions and 0 deletions
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16
modules/core/src/arithm_ipp.hpp
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@@ -283,24 +283,40 @@ inline IppCmpOp arithm_ipp_convert_cmp(int cmpop)
inline int arithm_ipp_cmp8u(const uchar* src1, size_t step1, const uchar* src2, size_t step2,
uchar* dst, size_t step, int width, int height, int cmpop)
{
// perf regression with AVX512: https://github.com/opencv/opencv/issues/28251
if (ippCPUID_AVX512F&cv::ipp::getIppFeatures())
return 0;
ARITHM_IPP_CMP(ippiCompare_8u_C1R, src1, (int)step1, src2, (int)step2, dst, (int)step, ippiSize(width, height));
}
inline int arithm_ipp_cmp16u(const ushort* src1, size_t step1, const ushort* src2, size_t step2,
uchar* dst, size_t step, int width, int height, int cmpop)
{
// perf regression with AVX512: https://github.com/opencv/opencv/issues/28251
if (ippCPUID_AVX512F&cv::ipp::getIppFeatures())
return 0;
ARITHM_IPP_CMP(ippiCompare_16u_C1R, src1, (int)step1, src2, (int)step2, dst, (int)step, ippiSize(width, height));
}
inline int arithm_ipp_cmp16s(const short* src1, size_t step1, const short* src2, size_t step2,
uchar* dst, size_t step, int width, int height, int cmpop)
{
// perf regression with AVX512: https://github.com/opencv/opencv/issues/28251
if (ippCPUID_AVX512F&cv::ipp::getIppFeatures())
return 0;
ARITHM_IPP_CMP(ippiCompare_16s_C1R, src1, (int)step1, src2, (int)step2, dst, (int)step, ippiSize(width, height));
}
inline int arithm_ipp_cmp32f(const float* src1, size_t step1, const float* src2, size_t step2,
uchar* dst, size_t step, int width, int height, int cmpop)
{
// perf regression with AVX512: https://github.com/opencv/opencv/issues/28251
if (ippCPUID_AVX512F&cv::ipp::getIppFeatures())
return 0;
ARITHM_IPP_CMP(ippiCompare_32f_C1R, src1, (int)step1, src2, (int)step2, dst, (int)step, ippiSize(width, height));
}