Profile Job Results
Jobs
jgdv9n3eg
Results Ready
Name
ddrnet23_slim
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 1024, 2048, 3]Completion Time
3/7/2026, 6:48:15 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.43.0.260127150333_193827
- QNN TfLite Delegate: v2.43.0.260127150333_193827
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.02.26.0
Estimated Inference Time
49.0 ms
Estimated Peak Memory Usage
1 ‑ 4 MB
Compute Units
NPU
177
| Stage | Time | Memory |
|---|---|---|
First App Load | 3.56 s | 187‑188 MB |
Subsequent App Load | 211 ms | 7‑29 MB |
Inference | 49.0 ms | 1‑4 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.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
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