Profile Job Results
Jobs
j5q7xvvog
Results Ready
Name
edgetam_encoder
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, 1024, 3]labels: uint8[1, 2]unnorm_coords: uint8[1, 2, 2]Completion Time
4/19/2026, 6:56:27 AM
Versions
- QAIRT: v2.45.0.260326154327
- QNN Backend API: 5.45.0
- QNN Core API: 2.34.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.04.13.0
Estimated Inference Time
7.52 ms
Estimated Peak Memory Usage
3 ‑ 315 MB
Compute Units
NPU
303
| Stage | Time | Memory |
|---|---|---|
First App Load | 5.73 s | 304‑311 MB |
Subsequent App Load | 175 ms | 33‑346 MB |
Inference | 7.52 ms | 3‑315 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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