Profile Job Results
Jobs
jp1enzm2g
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
11/30/2025, 5:32:32 AM
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
110 μs
Estimated Peak Memory Usage
0 ‑ 31 MB
Compute Units
NPU
32
| Stage | Time | Memory |
|---|---|---|
First App Load | 411 ms | 126‑133 MB |
Subsequent App Load | 371 ms | 104‑241 MB |
Inference | 110 μs | 0‑31 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