Profile Job Results
Jobs
jg9w7jolp
Results Ready
Name
yamnet_float
Target Device
- QCS8450 (Proxy)
- Android 13
- Qualcomm® QCS8450
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
audio: float32[1, 1, 96, 64]Completion Time
12/13/2025, 4:36:35 PM
Versions
- QAIRT: v2.40.0.251030114326_189385
- QNN Backend API: 5.40.0
- QNN Core API: 2.30.0
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.12.07.0
Estimated Inference Time
357 μs
Estimated Peak Memory Usage
0 ‑ 28 MB
Compute Units
NPU
61
| Stage | Time | Memory |
|---|---|---|
First App Load | 668 ms | 142‑151 MB |
Subsequent App Load | 606 ms | 147‑284 MB |
Inference | 357 μs | 0‑28 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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