Profile Job Results
Jobs
j57dd2rr5
Results Ready
Name
yamnet_w8a8
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
audio: uint8[1, 1, 96, 64]Completion Time
1/31/2026, 6:51:33 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.42.0.251225135753_193295
- QNN TfLite Delegate: v2.42.0.251225135753_193295
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.01.22.0
Estimated Inference Time
109 μs
Estimated Peak Memory Usage
0 ‑ 35 MB
Compute Units
NPU
32
| Stage | Time | Memory |
|---|---|---|
First App Load | 386 ms | 21‑28 MB |
Subsequent App Load | 155 ms | 0‑37 MB |
Inference | 109 μs | 0‑35 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.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
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