Profile Job Results
Jobs
jp0l88jnp
Results Ready
Name
ddrnet23_slim_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
12/14/2025, 7:44:31 AM
Versions
- 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-2025.12.07.0
Estimated Inference Time
30.4 ms
Estimated Peak Memory Usage
24 ‑ 45 MB
Compute Units
NPU
156
| Stage | Time | Memory |
|---|---|---|
First App Load | 4.29 s | 257‑258 MB |
Subsequent App Load | 4.21 s | 288‑290 MB |
Inference | 30.4 ms | 24‑45 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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