Hi Wang,
There are a couple of things to note here, firstly the preformance from a laptop card will never be as good as a desktop card. There are just to many limiting factors such as heat dissapation and power requirements.
Secondly, if you are planning on using parallel compute, (and from the sounds ot it using this for research/ University work) I would enquire if the institution has large cluster compute resources that you can send batch jobs too as this can offload a lot of local compute time and keep you more productive.
There are several similar questions on the forurm, most will point to the useful GPUBench here. Have a look though some of the reviews and see if you can find the cards you are looking at.
In my personal experiacnce within both MATLAB and python, looking at mathematical transforms and deep learning, I typically find that GeForce cards preform better as they have a higher clock, however are more power hungry and less reliable (driver updates etc.). That being said, this may not hold true for your workloads. However, more vRAM and higher clock speeds are usually a good thing, especially looking to the future.
Kind regards,
Christopher
