Profile Job Results
Jobs
jg9y8n7v5
Results Ready
Name
fcn_resnet50
Target Device
- Snapdragon 8 Elite QRD
- Android 15
- Snapdragon® 8 Elite | SM8750
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 520, 520, 3]Completion Time
8/2/2025, 9:21:34 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.34.2.250528164111_119506
- QNN TfLite Delegate: v2.34.2.250528164111_119506
- Android: 15 (AQ3A.241126.002)
- Build ID: Pakala.LA.1.0.r1-01152-STD.PROD-1
- AI Hub: aihub-2025.07.25.0
Estimated Inference Time
28.9 ms
Estimated Peak Memory Usage
0 ‑ 139 MB
Compute Units
NPU
88
| Stage | Time | Memory |
|---|---|---|
First App Load | 4.53 s | 657‑664 MB |
Subsequent App Load | 4.72 s | 705‑904 MB |
Inference | 28.9 ms | 0‑139 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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