Profile Job Results
Jobs
jgllvo3mg
Results Ready
Name
edgetam_memory_encoder
Target Device
- SA8775P ADP
- Android 14
- Qualcomm® SA8775P
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
mask_for_mem: uint8[1, 1, 1024, 1024]pix_feat: uint8[1, 256, 64, 64]Completion Time
7/25/2026, 1:19:13 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-2026.07.17.0
Estimated Inference Time
6.70 ms
Estimated Peak Memory Usage
2 ‑ 169 MB
Compute Units
NPU
270
| Stage | Time | Memory |
|---|---|---|
First App Load | 17.9 s | 209‑214 MB |
Subsequent App Load | 379 ms | 3‑169 MB |
Inference | 6.70 ms | 2‑169 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 |
| device_options.htp_options[0].device_id | 1 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device