A method for processing data in a system configured to operate in either of at least a first power mode and a second power mode, wherein the first power mode is associated with a first power level and the second power mode is associated with a second power level, the second power level being higher than the first power level, wherein the first and second power modes each are configured to prepare a respective model for inference processing is disclosed. The method comprises acquiring (101) compressed data, determining (102) whether the system operates in the first power mode or in the second power mode. The method further comprises, when the system operates in the first power mode, determining (103) whether the acquired compressed data comprises a self-contained frame, and if so partly decoding (104) the self-contained frame, performing (105) feature extraction of the decoded self-contained frame, preparing (107) the model for inference processing in the first power mode in the system, wherein the model comprises inference parameters for the first power mode, and performing (108) inference processing by a neural network based on the extracted features and the prepared model for inference processing. Corresponding computer program product, apparatus, and system are also disclosed.