This paper describes adaptive fine-grain control to power gate function units based on temperature dependent break-even time (BET). An analytical model to express the temperature dependent BET is introduced and the accuracy of the model was examined. Results demonstrated that the model well represents the exponential decrease in BET with the temperature. Meanwhile, it was found that the accuracy gets worse at higher temperature and the cause is energy dissipation due to transient glitch at the wakeup. We propose four power-gating policies employing time-based or history-based approaches. Effectiveness in energy savings was evaluated using real design data of four function units in a microprocessor implemented in a 65 nm technology. Results showed that introducing adaptive control to make use of temperature-dependent BET enhances energy savings by up to 21% in the time-based approach and by up to 18% in the history-based approach. The adaptive history-based policy with a limiter outperforms the adaptive time-based policy in energy savings and reduces the total energy of four function units to 11.8% at 100°C as compared to the non-power-gating case.