Profile Job Results
Jobs
jp39ekmlp
Results Ready
Name
whisper_large_v3_turbo_quantized_encoder
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
input_features: uint16[1, 128, 3000]Completion Time
8/22/2026, 10:25:29 AM
Options
--max_profiler_iterations 10Versions
- QAIRT: v2.45.0.260326154327
- QNN Backend API: 5.45.0
- QNN Core API: 2.34.0
- Android: 14 (UAG2.240908.001)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00016-STD.PROD-3
- AI Hub: aihub-2026.08.14.0
Estimated Inference Time
2.35 s
Estimated Peak Memory Usage
1 ‑ 10 MB
Compute Units
NPU
5674
| Stage | Time | Memory |
|---|---|---|
First App Load | 4.27 s | 5‑10 MB |
Subsequent App Load | 3.78 s | 17‑26 MB |
Inference | 2.35 s | 1‑10 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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