Profile Job Results
Jobs
jgk3w36o5
Results Ready
Name
squeezenet1_1_float
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: float32[1, 224, 224, 3]Completion Time
12/13/2025, 7:05:46 PM
Versions
- QAIRT: v2.40.0.251030114326_189385
- QNN Backend API: 5.40.0
- QNN Core API: 2.30.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.12.07.0
Estimated Inference Time
595 μs
Estimated Peak Memory Usage
0 ‑ 9 MB
Compute Units
NPU
71
| Stage | Time | Memory |
|---|---|---|
First App Load | 551 ms | 107‑109 MB |
Subsequent App Load | 529 ms | 106‑107 MB |
Inference | 595 μs | 0‑9 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| 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