Profile Job Results
Jobs
jgn6o9nj5
Results Ready
Name
squeezenet1_1_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: uint8[1, 224, 224, 3]Completion Time
11/26/2024, 1:27:37 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
466 μs
Estimated Peak Memory Usage
0 ‑ 3 MB
Compute Units
NPU
71
| Stage | Time | Memory |
|---|---|---|
First App Load | 281 ms | 19‑20 MB |
Subsequent App Load | 288 ms | 32‑82 MB |
Inference | 466 μs | 0‑3 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| default_graph_options.htp_options.precision | FLOAT16 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device