Profile Job Results
Jobs
jpv1k47mp
Results Ready
Name
edgetam_EdgeTAMEncoder
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 1024, 1024, 3]unnorm_coords: float32[1, 2, 2]labels: float32[1, 2]Completion Time
3/14/2026, 7:42:31 PM
Versions
- QAIRT: v2.43.0.260127150333_193827
- QNN Backend API: 5.43.0
- QNN Core API: 2.32.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.03.09.0
Estimated Inference Time
17.1 ms
Estimated Peak Memory Usage
11 ‑ 359 MB
Compute Units
NPU
303
| Stage | Time | Memory |
|---|---|---|
First App Load | 9.60 s | 341‑348 MB |
Subsequent App Load | 178 ms | 138‑488 MB |
Inference | 17.1 ms | 11‑359 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 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device