Profile Job Results
Jobs
jgj2llex5
Results Ready
Name
ddrnet23_slim
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 1024, 2048, 3]Completion Time
7/20/2025, 1:18:50 AM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.34.2.250528164111_119506
- QNN TfLite Delegate: v2.34.2.250528164111_119506
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.07.12.0
Estimated Inference Time
37.9 ms
Estimated Peak Memory Usage
1 ‑ 44 MB
Compute Units
NPU
175
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.52 s | 116‑123 MB |
Subsequent App Load | 2.55 s | 153‑249 MB |
Inference | 37.9 ms | 1‑44 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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