Profile Job Results
Jobs
jgklok1w5
Results Ready
Name
squeezenet1_1
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: uint8[1, 224, 224, 3]Completion Time
4/5/2026, 3:28:54 PM
Versions
- QAIRT: v2.43.0.260127150333_193827
- QNN Backend API: 5.43.0
- QNN Core API: 2.32.0
- Android: 14 (UAG2.240908.001)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00016-STD.PROD-3
- AI Hub: aihub-2026.03.29.0
Estimated Inference Time
896 μs
Estimated Peak Memory Usage
0 ‑ 21 MB
Compute Units
NPU
71
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.92 s | 4‑9 MB |
Subsequent App Load | 531 ms | 1‑23 MB |
Inference | 896 μs | 0‑21 MB |
| QNN | Value |
|---|---|
| default_graph_options.htp_options.optimizations[0].type | FINALIZE_OPTIMIZATION_FLAG |
| default_graph_options.htp_options.optimizations[0].value | 3.0 |
| default_graph_options.htp_options.precision | FLOAT16 |
| default_graph_options.htp_options.vtcm_size | 0 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device