Profile Job Results
Jobs
j5w13mk3g
Results Ready
Name
edgetam_memory_encoder
Target Device
- Samsung Galaxy S22 5G
- Android 12
- Snapdragon® 8 Gen 1 | SM8450
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
7/5/2026, 2:01:03 PM
Versions
- QAIRT: v2.45.0.260326154327
- QNN Backend API: 5.45.0
- QNN Core API: 2.34.0
- Android: 12 (SP1A.210812.016)
- AI Hub: aihub-2026.06.19.2
Estimated Inference Time
29.3 ms
Estimated Peak Memory Usage
4 ‑ 403 MB
Compute Units
NPU
301
| Stage | Time | Memory |
|---|---|---|
First App Load | 6.43 s | 360‑369 MB |
Subsequent App Load | 209 ms | 0‑401 MB |
Inference | 29.3 ms | 4‑403 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