Profile Job Results
Jobs
jgdoyedlp
Results Ready
Name
yamnet_float
Target Device
- SA8775P ADP
- Android 14
- Qualcomm® SA8775P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
audio: float32[1, 1, 96, 64]Completion Time
12/13/2025, 3:40:30 PM
Versions
- QAIRT: v2.40.0.251030114326_189385-auto
- QNN Backend API: 5.40.0
- QNN Core API: 2.30.0
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00011-STD.PROD-1.89321.2
- AI Hub: aihub-2025.12.07.0
Estimated Inference Time
368 μs
Estimated Peak Memory Usage
0 ‑ 18 MB
Compute Units
NPU
61
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.11 s | 147‑156 MB |
Subsequent App Load | 1.87 s | 126‑242 MB |
Inference | 368 μs | 0‑18 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 |
| device_options.htp_options[0].device_id | 1 |
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