My RTF is always around 0.12 with TRT-LLM docker on L20, never match the claimed benchmark result

Checks

• This template is only for usage issues encountered.
• I have thoroughly reviewed the project documentation but couldn't find information to solve my problem.
• I have searched for existing issues, including closed ones, and couldn't find a solution.
• I am using English to submit this issue to facilitate community communication.

Environment Details

nvidia L20, soar97/triton-f5-tts:24.12, just as https://github.com/SWivid/F5-TTS/blob/main/src/f5_tts/runtime/triton_trtllm/README.md

But my RTF is always around 0.12

⚡ Real-Time Factor:
   Mean: 0.120x
   Median: 0.112x
   Min/Max: 0.097x / 0.152x

My result is much slower than the claimed benchmark result.

What did I do wrongly ?

Steps to Reproduce

1. find a clean L20 machine, clone the project
2. start the triton docker MODEL=F5TTS_v1_Base docker compose up as https://github.com/SWivid/F5-TTS/blob/main/src/f5_tts/runtime/triton_trtllm/README.md said
3. test the RTF

✔️ Expected Behavior

No response

❌ Actual Behavior

No response