Profile Job Results
Jobs
jp34l6wng
Results Ready
Name
edgetam_decoder
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
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
4/19/2026, 6:50:50 AM
Versions
- QAIRT: v2.45.0.260326154327
- QNN Backend API: 5.45.0
- QNN Core API: 2.34.0
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2026.04.13.0
Estimated Inference Time
5.34 ms
Estimated Peak Memory Usage
16 ‑ 21 MB
Compute Units
NPU
796
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.13 s | 157‑158 MB |
Subsequent App Load | 204 ms | 0‑105 MB |
Inference | 5.34 ms | 16‑21 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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