Profile Job Results
Jobs
jp1v6mr2p
Results Ready
Name
efficientnet_lite4
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image_tensor: uint8[1, 300, 300, 3]Completion Time
7/13/2026, 11:40:04 PM
Versions
- QAIRT: v2.45.0.260326154327
- QNN Backend API: 5.45.0
- QNN Core API: 2.34.0
- Android: 14 (UAG2.240908.001)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00016-STD.PROD-3
- AI Hub: aihub-2026.07.02.0
Estimated Inference Time
3.33 ms
Estimated Peak Memory Usage
0 ‑ 64 MB
Compute Units
NPU
183
| Stage | Time | Memory |
|---|---|---|
First App Load | 5.35 s | 77‑83 MB |
Subsequent App Load | 569 ms | 1‑65 MB |
Inference | 3.33 ms | 0‑64 MB |
| QNN | Value |
|---|---|
| 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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