Profile Job Results
Jobs
jgklzk0v5
Results Ready
Name
edgetam_decoder
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
sparse_embedding: float32[1, 3, 256]image_embeddings: float32[1, 64, 64, 256]high_res_features2: float32[1, 128, 128, 64]high_res_features1: float32[1, 256, 256, 32]Completion Time
4/25/2026, 5:53:09 PM
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-2026.04.13.0
Estimated Inference Time
3.66 ms
Estimated Peak Memory Usage
4 ‑ 214 MB
Compute Units
NPU
796
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.39 s | 216‑223 MB |
Subsequent App Load | 185 ms | 76‑288 MB |
Inference | 3.66 ms | 4‑214 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