Profile Job Results
Jobs
jgk3qmrn5
Results Ready
Name
ddrnet23_slim_w8a8
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
10/26/2025, 5:15:48 AM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.39.0.250925215840_163802
- QNN TfLite Delegate: v2.39.0.250925215840_163802
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
38.0 ms
Estimated Peak Memory Usage
0 ‑ 48 MB
Compute Units
NPU
173
| Stage | Time | Memory | 
|---|---|---|
| First App Load | 2.09 s | 179‑186 MB | 
| Subsequent App Load | 2.12 s | 208‑370 MB | 
| Inference | 38.0 ms | 0‑48 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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