Profile Job Results
Jobs
jgklo2ro5
Results Ready
Name
edgetam_decoder
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
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
4/5/2026, 11:40:40 AM
Versions
- QAIRT: v2.43.0.260127150333_193827
- QNN Backend API: 5.43.0
- QNN Core API: 2.32.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.03.29.0
Estimated Inference Time
4.10 ms
Estimated Peak Memory Usage
16 ‑ 319 MB
Compute Units
NPU
803
| Stage | Time | Memory |
|---|---|---|
First App Load | 3.56 s | 220‑227 MB |
Subsequent App Load | 193 ms | 35‑338 MB |
Inference | 4.10 ms | 16‑319 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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