Profile Job Results
Jobs
jg94v6eq5
Results Ready
Name
segformer_base
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 512, 512, 3]Completion Time
3/8/2026, 3:55:50 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.43.0.260127150333_193827
- QNN TfLite Delegate: v2.43.0.260127150333_193827
- Android: 14 (UAG2.240908.001)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00016-STD.PROD-3
- AI Hub: aihub-2026.02.26.0
Estimated Inference Time
23.1 ms
Estimated Peak Memory Usage
2 ‑ 175 MB
Compute Units
NPU
610
| Stage | Time | Memory |
|---|---|---|
First App Load | 9.58 s | 170‑175 MB |
Subsequent App Load | 450 ms | 5‑180 MB |
Inference | 23.1 ms | 2‑175 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.precision | kHtpFp16 |
| htp_options.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
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