Are imagenet weights same for all pretrained models?

I am new to transfer learning and I have one image classification problem, and I was thinking about training two pretrained model on TensorFlow: Inception and NASNet.

Inc_net = InceptionV3(input_shape = (300, 300, 3), include_top= False, weights = imagenet)

nas_net = NASNetLarge(input_shape = (331, 331, 3), include_top = False, weights = imagenet)

but I am using same weights for both i.e. 'imagenet'. My question is, if both of my models have same imagenet weights, and both models are non-trainable, will both of them give me same result ?