Profile Job Results
Jobs
j5wq3n8m5
Results Ready
Name
ddrnet23_slim_float
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, 1024, 2048, 3]Completion Time
10/26/2025, 2:30:50 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
27.1 ms
Estimated Peak Memory Usage
1 ‑ 53 MB
Compute Units
NPU
133
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.12 s | 353‑361 MB |
Subsequent App Load | 2.07 s | 386‑593 MB |
Inference | 27.1 ms | 1‑53 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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