Profile Job Results
Jobs
jp314xmzg
Results Ready
Name
pidnet
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 1024, 2048, 3]Completion Time
7/26/2025, 5:59:45 PM
Versions
- QAIRT: v2.34.2.250528164111_119506
- QNN Backend API: 5.34.0
- QNN Core API: 2.25.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.07.12.0
Estimated Inference Time
56.0 ms
Estimated Peak Memory Usage
6 ‑ 73 MB
Compute Units
NPU
176
| Stage | Time | Memory |
|---|---|---|
First App Load | 4.70 s | 188‑196 MB |
Subsequent App Load | 4.94 s | 211‑359 MB |
Inference | 56.0 ms | 6‑73 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 |
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