Profile Job Results
Jobs
j56n84o7g
Results Ready
Name
yamnet_float
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
audio: float32[1, 1, 96, 64]Completion Time
11/29/2025, 3:05:34 PM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.40.0.251030114326_189385
- QNN TfLite Delegate: v2.40.0.251030114326_189385
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.11.18.0
Estimated Inference Time
178 μs
Estimated Peak Memory Usage
0 ‑ 36 MB
Compute Units
NPU
30
| Stage | Time | Memory |
|---|---|---|
First App Load | 586 ms | 139‑146 MB |
Subsequent App Load | 557 ms | 151‑295 MB |
Inference | 178 μs | 0‑36 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 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device