@Mohammed Fazil The result of the response depends on the detection and recognition models used for the images when they are uploaded using face detect. Usually the latest versions of these have a better accuracy i.e recognition_04 and detection_03 models and these models could be optimized further based on improvements to the backend algorithms.
The demo page above is displaying a sample which simplifies the scenario by using a certain set of parameters or values to create face ids using Face Detect and then verifying them using Face Verify. The score seen is also from this response. With the latest version of these models I receive a score of 0.94087 which is quite high and they are identical.
{
"isIdentical": true,
"confidence": 0.94087
}
I would recommend to use these models and not compare the score with demo site as this is periodically updated based on documentation changes. If you are using older detection and recognition models I would recommend to update the same for better accuracy. I hope this helps.