Profile Job Results
Jobs
jgk3qndn5
Results Ready
Name
detr_resnet50_float
Target Device
- SA8295P ADP
- Android 14
- Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 640, 640, 3]Completion Time
10/25/2025, 11:57:15 PM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.39.0.250925215840_163802-auto
- QNN TfLite Delegate: v2.39.0.250925215840_163802-auto
- Android: 14 (UQ1A.240205.002)
- Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
32.9 ms
Estimated Peak Memory Usage
0 ‑ 171 MB
Compute Units
NPU
807
| Stage | Time | Memory |
|---|---|---|
First App Load | 11.1 s | 577‑583 MB |
Subsequent App Load | 11.3 s | 580‑844 MB |
Inference | 32.9 ms | 0‑171 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.precision | kHtpFp16 |
| htp_options.useConvHmx | true |
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