Profile Job Results
Jobs
j5mq94qdp
Results Ready
Name
nasnet
Target Device
- Snapdragon 8 Elite QRD
- Android 15
- Snapdragon® 8 Elite | SM8750
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: float32[1, 224, 224, 3]Completion Time
5/20/2025, 8:42:57 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.32.6.250402152434_116405
- QNN TfLite Delegate: v2.32.6.250402152434_116405
- Android: 15 (AQ3A.241126.002)
- Build ID: Pakala.LA.1.0.r1-01152-STD.PROD-1
- AI Hub: aihub-2025.05.14.0
Estimated Inference Time
5.34 ms
Estimated Peak Memory Usage
0 ‑ 291 MB
Compute Units
NPU
776
| Stage | Time | Memory |
|---|---|---|
First App Load | 11.0 s | 1 GB |
Subsequent App Load | 11.1 s | 1‑2 GB |
Inference | 5.34 ms | 0‑291 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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