Result different between mobile and PC

I convert fastai to torchscript then run same converted model on both Android and PC(Macbook).
Result is different.

Code convert:

import torch
example = torch.rand(1, 3, 64, 64)
traced_script_module = torch.jit.trace(torch_model, example)"")

Run on PC:

img = cv2.imread('aaanx_7.jpg')
img = img/255.0
img = np.moveaxis(img, -1, 0)
img = np.array(np.expand_dims(img, axis=0))

Run on Android:

bitmap = BitmapFactory.decodeStream(getAssets().open("aaanx_7.jpg"));
Tensor inputTensor = TensorImageUtils.bitmapToFloat32Tensor(bitmap,
              new float[]{0.0f, 0.0f, 0.0f}, new float[]{1.0f, 1.0f, 1.0f});
Tensor outputTensor = module.forward(IValue.from(inputTensor)).toTensor();

Tensor output is different.
Please help me understand that.

Is the output significantly different or does it just have small numerical differences? If it is significantly different please open an issue.

It is significantly different

I train resnet50 to predict extended mnist and result is different number with all images

I checking with input image and confuse with TensorImageUtils.bitmapToFloat32Tensor.
It is little-endian and it seem to be not same with PC.
I am not sure. Do you have any suggestion?