Accuracy loss of converted tf-lite model

I use the export_tflite_ssd_graph.py to convert the model to TFLite compatible graph(.pb file). Then, I use tflite_convert to convert the .pb file to tf-lite format. Is there any accuracy loss of the tf-lite model?
The following is the command :
tflite_convert
--graph_def_file=/home/ubuntu/ssd_mobilenet_v2/tflite_graph.pb
--output_file=/home/ubuntu/ssd_mobilenet_v2/model.tflite
--output_format=TFLITE
--input_arrays=normalized_input_image_tensor
--input_shapes=1,300,300,3
--inference_type=FLOAT
--output_arrays="TFLite_Detection_PostProcess,TFLite_Detection_PostProcess:1,TFLite_Detection_PostProcess:2,TFLite_Detection_PostProcess:3"
--allow_custom_ops

Can I use the TFLite compatible graph(.pb file) to calculate the mAP like frozen_inference_graph.pb?
Is the mAP result of TFLite compatible graph(.pb file) the same as the tflite model?