Profile Job Results
Jobs
jprvo40kg
Results Ready
Name
squeezenet1_1_quantized
Target Device
- Samsung Galaxy S24 (Family)
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: uint8[1, 224, 224, 3]Completion Time
11/26/2024, 1:28:53 PM
Versions
- QNN: v2.28.2.241116104011_103376
- QNN Backend API: 5.28.0
- QNN Core API: 2.21.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2024.11.22.0
Estimated Inference Time
346 μs
Estimated Peak Memory Usage
0 ‑ 10 MB
Compute Units
NPU
71
| Stage | Time | Memory |
|---|---|---|
First App Load | 240 ms | 23‑30 MB |
Subsequent App Load | 234 ms | 14‑40 MB |
Inference | 346 μs | 0‑10 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| default_graph_options.htp_options.precision | FLOAT16 |
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