Profile Job Results
Jobs
jgdvvd3lg
Results Ready
Name
gpunet_w8a8
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: uint8[1, 224, 224, 3]Completion Time
2/1/2026, 5:50:19 AM
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
340 μs
Estimated Peak Memory Usage
0 ‑ 54 MB
Compute Units
NPU
67
| Stage | Time | Memory |
|---|---|---|
First App Load | 611 ms | 149‑156 MB |
Subsequent App Load | 151 ms | 0‑57 MB |
Inference | 340 μs | 0‑54 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 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device