Profile Job Results
Jobs
j5q0yed4p
Results Ready
Name
ddrnet23_slim
Target Device
- Snapdragon 8 Elite QRD
- Android 15
- Snapdragon® 8 Elite | SM8750
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 1280, 640, 3]Completion Time
3/11/2025, 7:25:07 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.32.0.250228225014_116386
- QNN TfLite Delegate: v2.32.0.250228225014_116386
- Android: 15 (AQ3A.241126.002)
- Build ID: Pakala.LA.1.0.r1-01152-STD.PROD-1
- AI Hub: aihub-2025.03.06.0
Estimated Inference Time
2.87 ms
Estimated Peak Memory Usage
1 ‑ 38 MB
Compute Units
NPU
131
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.95 s | 150‑156 MB |
Subsequent App Load | 1.92 s | 147‑192 MB |
Inference | 2.87 ms | 1‑38 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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