Profile Job Results
Jobs
jp1y7j17p
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
5/6/2025, 9:38:22 AM
Versions
- QAIRT: v2.32.6.250402152434_116405
- QNN Backend API: 5.32.0
- QNN Core API: 2.24.0
- Android: 12 (SP1A.210812.016)
- AI Hub: aihub-2025.05.02.0
Estimated Inference Time
887 μs
Estimated Peak Memory Usage
0 ‑ 15 MB
Compute Units
NPU
71
Stage | Time | Memory |
---|---|---|
First App Load | 159 ms | 0‑7 MB |
Subsequent App Load | 169 ms | 0‑15 MB |
Inference | 887 μs | 0‑15 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