About inference efficiency of ONNX with QNN EQ
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 20/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- cpp
- Domain
- machine-learning, performance
Research direction
No file, test, or entry point is named. First identify the ONNX Runtime inference example and QNN EQ setup used for CPU and HTP, then run comparable inference benchmarks; done means reporting the measured efficiency difference between ONNX with QNN EQ and ONNX alone.
Written by the indexing model from the issue text.
Description
I wonder if anyone have tested the efficiency of ONNX with QNN EQ on cpu or htp?
Or how much faster for inference using the ONNX with QNN EQ than just ONNX alone?
- Dominant language
- C++
- Stars
- 1.7k
- Forks
- 418
- PR merge metrics
- No merged PRs in 30d
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