Qualcomm® AI HubAI Hub
Qualcomm® AI Hub Models
ConvNext-Tiny-w8a16-Quantized

Profile Job Results

Jobs
jp3jxmlzg
Results Ready
Name
convnext_tiny_w8a16_quantized
Target Device
  • Samsung Galaxy S23 (Family)
  • Android 13
  • Snapdragon® 8 Gen 2 | SM8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: uint16[1, 224, 224, 3]
Completion Time
11/26/2024, 3:27:15 PM
Versions
  • QNN: v2.28.2.241116104011_103376
  • QNN Backend API: 5.28.0
  • QNN Core API: 2.21.0
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2024.11.22.0
Estimated Inference Time
3.45 ms
Estimated Peak Memory Usage
0 ‑ 86 MB
Compute Units
NPU
215
StageTimeMemory
First App Load
1.28 s328‑329 MB
Subsequent App Load
1.28 s255‑344 MB
Inference
3.45 ms0‑86 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

Sign up to run this model on a hosted Qualcomm® device!

Run on device