Profile Job Results
Jobs
jgk32le25
Results Ready
Name
pidnet_float
Target Device
- SA8650 (Proxy)
- Android 13
- Qualcomm® SA8650P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 1024, 2048, 3]Completion Time
11/30/2025, 12:29:00 PM
Options
--qairt_version latestVersions
- QAIRT: v2.40.0.251030114326_189385
- QNN Backend API: 5.40.0
- QNN Core API: 2.30.0
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.11.18.0
Estimated Inference Time
36.2 ms
Estimated Peak Memory Usage
24 ‑ 58 MB
Compute Units
NPU
207
| Stage | Time | Memory |
|---|---|---|
First App Load | 5.26 s | 287‑289 MB |
Subsequent App Load | 5.23 s | 325‑328 MB |
Inference | 36.2 ms | 24‑58 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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