Profile Job Results
Jobs
j5qvlxymg
Results Ready
Name
edgetam_encoder
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[1, 1024, 1024, 3]unnorm_coords: float32[1, 2, 2]labels: float32[1, 2]Completion Time
8/8/2026, 10:28:11 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-2026.07.31.1
Estimated Inference Time
16.7 ms
Estimated Peak Memory Usage
12 ‑ 348 MB
Compute Units
NPU
300
| Stage | Time | Memory |
|---|---|---|
First App Load | 8.27 s | 342‑349 MB |
Subsequent App Load | 187 ms | 74‑410 MB |
Inference | 16.7 ms | 12‑348 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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