Before revision:  Altogether, EdgeBERT enables fully on-chip inference acceleration of NLP workloads with 5.2 x, and 157x lower energy than that of an un-optimized accelerator and CUDA adaptations on an Nvidia Jetson Tegra X2 mobile GPU, respectively.
After revision:  Altogether, EdgeBERT enables fully on-chip inference acceleration of NLP workloads with 5.2 x, and 53x lower energy compared to the conventional inference without early stopping, the latency-unbounded early exit approach, and CUDA adaptations on an Nvidia Jetson Tegra X2 mobile GPU, respectively.