Profile Job Results
Jobs
jgj19wweg
Results Ready
Name
pipertts_it_flow
Target Device
- Samsung Galaxy S22 5G
- Android 12
- Snapdragon® 8 Gen 1 | SM8450
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
attn_squeezed: float32[1, 1536, 512]m_p: float32[1, 192, 512]logs_p: float32[1, 192, 512]noise_scale: float32[1]y_mask: float32[1, 1, 1536]Completion Time
6/13/2026, 9:53:13 AM
Versions
- QAIRT: v2.45.0.260326154327
- QNN Backend API: 5.45.0
- QNN Core API: 2.34.0
- Android: 12 (SP1A.210812.016)
- AI Hub: aihub-2026.06.08.2
Estimated Inference Time
18.2 ms
Estimated Peak Memory Usage
4 ‑ 13 MB
Compute Units
NPU
310
| Stage | Time | Memory |
|---|---|---|
First App Load | 225 ms | 0‑9 MB |
Subsequent App Load | 177 ms | 2‑11 MB |
Inference | 18.2 ms | 4‑13 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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