matchTemplate inconsistent results with M1 Chip

[hammad-looper]

System information (version)

• OpenCV => 4.6.0
• Operating System / Platform => MacOS Monterey 12.5.1
• Chip => Apple M1 Pro
• Python 3.10.6

Detailed description

We have heavy use of matchTemplate for different use cases our team has been developing on all platform

• Windows
• Linux
• Mac x86

Recently when some of developers upgraded with Mac M1 Chip they started to have issues same code that has confidence of 1 is not returning nan for only Mac M1.

Steps to reproduce

We are using OpenCV via python here is requirements.txt

opencv-python-headless==4.6.0.66
opencv-contrib-python==4.6.0.66

And here is the code snippet

import cv2 as cv
from matplotlib import pyplot as plt
img_grey = cv.cvtColor(cv.imread('1.png'), cv.COLOR_BGR2GRAY)
template = cv.cvtColor(cv.imread('horizontal_small.png'), cv.COLOR_BGR2GRAY)
mask = cv.cvtColor(cv.imread('horizontal_small-mask.png'), cv.COLOR_BGR2GRAY)
w, h = template.shape[::-1]
methods = ['cv.TM_CCOEFF_NORMED']
for meth in methods:
    method = eval(meth)
    # Apply template Matching
    res = cv.matchTemplate(image=img_grey, templ=template, method=method, mask=mask)
    min_val, max_val, min_loc, max_loc = cv.minMaxLoc(res)
    # If the method is TM_SQDIFF or TM_SQDIFF_NORMED, take minimum
    if method in [cv.TM_SQDIFF, cv.TM_SQDIFF_NORMED]:
        top_left = min_loc
    else:
        top_left = max_loc
    bottom_right = (top_left[0] + w, top_left[1] + h)
    cv.rectangle(img_grey,top_left, bottom_right, 255, 2)
    plt.subplot(121),plt.imshow(res,cmap = 'gray')
    plt.title(f'Matching Result {max_val}'), plt.xticks([]), plt.yticks([])
    plt.subplot(122),plt.imshow(img_grey,cmap = 'gray')
    plt.title('Detected Point'), plt.xticks([]), plt.yticks([])
    plt.suptitle(meth)
    plt.show()

Code above return confidence of 1 on other platforms and nan on Mac M1

Issue submission checklist

• I report the issue, it's not a question
• I updated to the latest OpenCV version and the issue is still there
• I checked the problem with documentation, FAQ, open issues,
  forum.opencv.org, Stack Overflow, etc and have not found any solution
• There is reproducer code and related data files: videos, images, onnx, etc