Profile Job Results
Jobs
jp1wdqkng
Results Ready
Name
squeezenet1_1
Target Device
- QCS6490 (Proxy)
- Android 12
- Qualcomm® QCS6490
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: uint8[1, 224, 224, 3]Completion Time
7/26/2025, 3:44:13 PM
Versions
- QAIRT: v2.34.2.250528164111_119506
- QNN Backend API: 5.34.0
- QNN Core API: 2.25.0
- Android: 12 (SP1A.210812.016)
- AI Hub: aihub-2025.07.12.0
Estimated Inference Time
887 μs
Estimated Peak Memory Usage
0 ‑ 17 MB
Compute Units
NPU
45
| Stage | Time | Memory |
|---|---|---|
First App Load | 637 ms | 25‑36 MB |
Subsequent App Load | 551 ms | 26‑49 MB |
Inference | 887 μs | 0‑17 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