Profile Job Results
Jobs
jpewnvl7p
Results Ready
Name
vit
Target Device
- SA8650 (Proxy)
- Android 13
- Qualcomm® SA8650P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: uint8[1, 224, 224, 3]Completion Time
9/13/2025, 9:33:12 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.37.0.250724175447_124859
- QNN TfLite Delegate: v2.37.0.250724175447_124859
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.09.05.0
Estimated Inference Time
7.62 ms
Estimated Peak Memory Usage
0 ‑ 81 MB
Compute Units
NPU
1633
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.51 s | 507‑508 MB |
Subsequent App Load | 1.51 s | 539‑543 MB |
Inference | 7.62 ms | 0‑81 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 |
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