  Research has shown that decoder energy models are helpful tools for improving
the energy efficiency in video playback applications. For example, an accurate
feature-based bit stream model can reduce the energy consumption of the
decoding process. However, until now only sequences of the SDR video format
were investigated. Therefore, this paper shows that the decoding energy of
HEVC-coded bit streams can be estimated precisely for different video formats
and coding bit depths. Therefore, we compare a state-of-the-art model from the
literature with a proposed model. We show that bit streams of the 360{\deg},
HDR, and fisheye video format can be estimated with a mean estimation error
lower than 3.88% if the setups have the same coding bit depth. Furthermore, it
is shown that on average, the energy demand for the decoding of bit streams
with a bit depth of 10-bit is 55% higher than with 8-bit.
