TensorRT-LLMs/benchmarks
Chang Liu f70815c945
[TRTLLM-5007][feat] Add multimodal hashing support (image hashing) (#4145)
Signed-off-by: Chang Liu <9713593+chang-l@users.noreply.github.com>
Co-authored-by: hlu1 <14827759+hlu1@users.noreply.github.com>
2025-06-10 01:59:56 +08:00
..
cpp [TRTLLM-5007][feat] Add multimodal hashing support (image hashing) (#4145) 2025-06-10 01:59:56 +08:00
README.md chore: Remove deprecated Python runtime benchmark (#4171) 2025-05-14 18:41:05 +08:00

TensorRT-LLM Benchmarks

Overview

There are currently two workflows to benchmark TensorRT-LLM:

  • trtllm-bench
    • trtllm-bench 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.
  • C++ benchmarks
    • The recommended workflow that uses TensorRT-LLM C++ API and can take advantage of the latest features of TensorRT-LLM.