[D] We tested the same INT8 model on 5 Snapdragon chipsets. Accuracy ranged from 93% to 71%. Same weights, same ONNX file.
Reddit - Machine Learning
1 min read
Article
Summary
This article presents findings from testing an INT8 model across five Snapdragon chipsets, revealing significant variations in accuracy, ranging from 93% to 71%.
Why It Matters
Understanding the performance of AI models on different hardware is crucial for developers and researchers. This study highlights how chipset variations can impact model accuracy, informing decisions on hardware selection for AI applications.
Key Takeaways
- Accuracy of the same INT8 model varies significantly across Snapdragon chipsets.
- The Snapdragon 8 Gen 3 achieved the highest accuracy at 91.8%.
- NPU precision handling and INT8 rounding behavior are key factors affecting performance.
- Cloud benchmarks reported higher accuracy, indicating potential discrepancies in on-device performance.
- These findings are essential for optimizing AI deployments on mobile devices.
You've been blocked by network security.To continue, log in to your Reddit account or use your developer tokenIf you think you've been blocked by mistake, file a ticket below and we'll look into it.Log in File a ticket
