You do complex DFT, with I being the real part, and Q the imaginary part.
Unlike in the real-input DFT, this time the frequency domain does not have a conjugate, and you want to look at all N bins (instead of N/2 bins, as you do with real input).
Because you have twice the data compared to plain real inputs, you get twice the results, and the calculation takes more MCU/CPU time.