Profile Job Results
Jobs
jpr9z887p
Results Ready
Name
edgetam_memory_encoder
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
mask_for_mem: float32[1, 1, 1024, 1024]pix_feat: float32[1, 256, 64, 64]Completion Time
6/14/2026, 2:27:00 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-2026.06.08.2
Estimated Inference Time
13.4 ms
Estimated Peak Memory Usage
2 ‑ 533 MB
Compute Units
NPU
301
| Stage | Time | Memory |
|---|---|---|
First App Load | 11.6 s | 414‑422 MB |
Subsequent App Load | 195 ms | 1‑533 MB |
Inference | 13.4 ms | 2‑533 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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