Profile Job Results
Jobs
j57l4749g
Results Ready
Name
efficientnet_b0
Target Device
- SA8295P ADP
- Android 14
- Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: float32[1, 224, 224, 3]Completion Time
8/24/2025, 9:58:13 AM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.37.0.250724175447_124859-auto
- QNN TfLite Delegate: v2.37.0.250724175447_124859-auto
- Android: 14 (UQ1A.240205.002)
- Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
- AI Hub: aihub-2025.08.21.0
Estimated Inference Time
3.57 ms
Estimated Peak Memory Usage
0 ‑ 36 MB
Compute Units
NPU
245
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.63 s | 136‑142 MB |
Subsequent App Load | 1.59 s | 152‑274 MB |
Inference | 3.57 ms | 0‑36 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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