Profile Job Results
Jobs
jp1q4oe8g
Results Ready
Name
melotts_es_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
5/2/2026, 11:04:11 AM
Versions
- QAIRT: v2.45.0.260326154327
- QNN Backend API: 5.45.0
- QNN Core API: 2.34.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.04.25.0
Estimated Inference Time
90.5 ms
Estimated Peak Memory Usage
2 ‑ 9 MB
Compute Units
NPU
859
| Stage | Time | Memory |
|---|---|---|
First App Load | 347 ms | 1‑8 MB |
Subsequent App Load | 272 ms | 1‑8 MB |
Inference | 90.5 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 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device





