### Answer End-to-end latency on the Retell dashboard measures the total time from when the user stops speaking until the AI agent begins responding [(1) ]() . This metric includes processing time, network delays, and model inference time . You can monitor end-to-end latency for individual calls in the "Call History" section of the dashboard . The dashboard displays key latency metrics including : - **P90 (90th Percentile) **: 90% of calls have latency below this value - **Median (50th Percentile) **: Half of the calls have latency less than this value - **Min**: The fastest response time achieved in any call Note that end-to-end latency does not account for network trip time from the Retell server to the user's frontend . You can also retrieve detailed latency breakdowns programmatically using the Get Call API after a call ends . The response includes a

latency

object with per-component metrics like ASR (transcription) , LLM, TTS, and other processing stages .

Feel free to tag @AI Evy with additional questions. I also appreciate feedback, it helps me improve.

​ To learn more, see the sources I considered: [[1] Check actual latency](https://docs.retellai.com/reliability/check-actual-latency) ​