Is it normal to have a higher mean average precision but lower confusion matrix precision-recall in TensorFlow object detection?

Question

I need an explanation about. It is normal to have mean average precision of 0.991 using the TensorFlow object detection evaluation tool with IoU 0.5 and metrics_set: "coco_detection_metrics" in a config file. But I got 0.97 in precision and 0.96 in recall with the same IoU threshold using this code. If it's normal, why are these two matrices different? Or is something wrong with that code.

Note: I use 76 data in my test dataset, and every data have 28 class