Profile Job Results
Jobs
jgk7edjnp
Results Ready
Name
segformer_base
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 512, 512, 3]Completion Time
4/8/2025, 1:24:10 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.32.0.250228225014_116386
- QNN TfLite Delegate: v2.32.0.250228225014_116386
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.03.24.0
Estimated Inference Time
80.5 ms
Estimated Peak Memory Usage
9 ‑ 48 MB
Compute Units
NPU
543
| Stage | Time | Memory |
|---|---|---|
First App Load | 48.2 min | 184‑192 MB |
Subsequent App Load | 52.4 min | 199‑322 MB |
Inference | 1.34 min | 9‑48 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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