Profile Job Results
Jobs
jp3m9qe3g
Results Ready
Name
mobile_vit
Target Device
- SA8295P ADP
- Android 14
- Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: float32[1, 256, 256, 3]Completion Time
2/22/2026, 2:14:03 AM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.43.0.260127150333_193827
- QNN TfLite Delegate: v2.43.0.260127150333_193827
- Android: 14 (UQ1A.240205.002)
- Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
- AI Hub: aihub-2026.02.14.0
Estimated Inference Time
6.69 ms
Estimated Peak Memory Usage
0 ‑ 69 MB
Compute Units
NPU
577
| Stage | Time | Memory |
|---|---|---|
First App Load | 3.36 s | 110‑116 MB |
Subsequent App Load | 177 ms | 14‑84 MB |
Inference | 6.69 ms | 0‑69 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.precision | kHtpFp16 |
| htp_options.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
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