TensorRT-LLMs/benchmarks
Kaiyu Xie dfbcb543ce
doc: fix path after examples migration (#3814)
Signed-off-by: Kaiyu Xie <26294424+kaiyux@users.noreply.github.com>
2025-04-24 02:36:45 +08:00
..
cpp doc: fix path after examples migration (#3814) 2025-04-24 02:36:45 +08:00
python Add thread leak check and fix thread/memory leak issues. (#3270) 2025-04-08 19:03:18 +08:00
README.md Update TensorRT-LLM (#2413) 2024-11-05 16:27:06 +08:00

TensorRT-LLM Benchmarks

Overview

There are currently three workflows to benchmark TensorRT-LLM:

  • C++ benchmarks
    • The recommended workflow that uses TensorRT-LLM C++ API and can take advantage of the latest features of TensorRT-LLM.
  • Python benchmarks
    • The Python benchmarking scripts can only benchmark the Python runtime, which do not support the latest features, such as in-flight batching.
  • The Python benchmarking suite
    • This benchmarker is native to TensorRT-LLM and is a Python benchmarker for reproducing and testing the performance of TensorRT-LLM.
    • NOTE: This benchmarking suite is a current work in progress and is prone to large changes.