Hello @IsaacBerman,
Do you use completely the same model on mobile and desktop, without any quantization on mobile?
If you already debugged it, maybe you have some ideas which operator/layer is producing different results?
Could you please dump all operators that your model use, here are steps how to do it:
First we need dump_operator_names executable which can be built with command:
BUILD_BINARIES=1 python setup.py build

After succesfull build you can find it in path like ./build/lib.linux-x86_64-3.7/torch/bin/dump_operator_names.
It depends on libcaffe2_observers.so, libtorch.so, libc10.so, so they should be either located in the same folder or be installed on the system.

mkdir tmp
cp ./build/lib.linux-x86_64-3.7/torch/bin/dumpop_operator_names tmp/
cp ./build/lib.linux-x86_64-3.7/torch/lib/libcaffe2_observers.so tmp
cp ./build/lib.linux-x86_64-3.7/torch/lib/libtorch.so tmp
cp ./build/lib.linux-x86_64-3.7/torch/lib/libc10.so tmp

After that you can run it, specifing model and output file.
./dump_operator_names --model=model.pt --output=model_ops.yaml