Profile Job Results
Jobs
jgnzxv1qg
Results Ready
Name
melotts_zh_flow
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
attn_squeezed: uint16[1, 1536, 512]logs_p: uint16[1, 192, 512]noise_scale: uint16[1]m_p: uint16[1, 192, 512]y_mask: uint16[1, 1, 1536]g: uint16[1, 256, 1]Completion Time
9/19/2026, 11:02:45 AM
Options
--qairt_version latestVersions
- QAIRT: v2.50.0.260828221209
- QNN Backend API: 5.50.0
- QNN Core API: 2.39.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.09.11.0
Estimated Inference Time
51.8 ms
Estimated Peak Memory Usage
2 ‑ 9 MB
Compute Units
NPU
737
| Stage | Time | Memory |
|---|---|---|
First App Load | 240 ms | 1‑8 MB |
Subsequent App Load | 220 ms | 1‑8 MB |
Inference | 51.8 ms | 2‑9 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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