Profile Job Results
Jobs
jgnee73vg
Results Ready
Name
mobile_bert_uncased_google_float
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
attention_masks: float32[1, 384]input_tokens: int32[1, 384]mask_indices: int32[1]Completion Time
2/1/2026, 12:51:53 AM
Versions
- QAIRT: v2.42.0.251225135753_193295
- QNN Backend API: 5.41.0
- 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-2026.01.22.0
Estimated Inference Time
57.4 ms
Estimated Peak Memory Usage
0 ‑ 205 MB
Compute Units
NPU
1756
| Stage | Time | Memory |
|---|---|---|
First App Load | 26.8 s | 517‑527 MB |
Subsequent App Load | 500 ms | 1‑208 MB |
Inference | 57.4 ms | 0‑205 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 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device