Profile Job Results
Jobs
j57lzmmqg
Results Ready
Name
litehrnet
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 3, 256, 192]Completion Time
9/27/2025, 8:28:57 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.38.0.250901140452_125126
- QNN TfLite Delegate: v2.38.0.250901140452_125126
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.09.23.1
Estimated Inference Time
4.40 ms
Estimated Peak Memory Usage
0 ‑ 19 MB
Compute Units
NPU
1110
CPU
2
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.17 s | 130‑131 MB |
Subsequent App Load | 2.13 s | 162‑165 MB |
Inference | 4.40 ms | 0‑19 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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