Profile Job Results
Jobs
jglknq82p
Results Ready
Name
edgetam_EdgeTAMDecoder
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
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
3/7/2026, 9:32:58 AM
Versions
- QAIRT: v2.43.0.260127150333_193827
- QNN Backend API: 5.43.0
- QNN Core API: 2.32.0
- Android: 14 (UAG2.240908.001)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00016-STD.PROD-3
- AI Hub: aihub-2026.02.26.0
Estimated Inference Time
12.4 ms
Estimated Peak Memory Usage
16 ‑ 282 MB
Compute Units
NPU
796
| Stage | Time | Memory |
|---|---|---|
First App Load | 10.5 s | 181‑187 MB |
Subsequent App Load | 413 ms | 1‑267 MB |
Inference | 12.4 ms | 16‑282 MB |
| QNN | Value |
|---|---|
| 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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