Profile Job Results
Jobs
jp8zm4yqp
Results Ready
Name
yamnet_float
Target Device
- SA8650 (Proxy)
- Android 13
- Qualcomm® SA8650P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
audio: float32[1, 1, 96, 64]Completion Time
10/25/2025, 2:10:58 PM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.39.0.250925215840_163802
- QNN TfLite Delegate: v2.39.0.250925215840_163802
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
221 μs
Estimated Peak Memory Usage
0 ‑ 70 MB
Compute Units
NPU
30
| Stage | Time | Memory |
|---|---|---|
First App Load | 627 ms | 100‑101 MB |
Subsequent App Load | 651 ms | 129‑132 MB |
Inference | 221 μs | 0‑70 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.performance_mode | kHtpBurst |
| htp_options.precision | kHtpFp16 |
| htp_options.useConvHmx | true |
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