Profile Job Results
Jobs
j5md6v8q5
Results Ready
Name
edgetam_memory_encoder
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
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
7/5/2026, 1:09:50 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-2026.06.19.2
Estimated Inference Time
11.4 ms
Estimated Peak Memory Usage
2 ‑ 167 MB
Compute Units
NPU
270
| Stage | Time | Memory |
|---|---|---|
First App Load | 21.4 s | 216‑221 MB |
Subsequent App Load | 513 ms | 4‑171 MB |
Inference | 11.4 ms | 2‑167 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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