Profile Job Results
Jobs
j579ew3lg
Results Ready
Name
fcn_resnet50
Target Device
- Arduino VENTUNO Q
- Ubuntu 24.04
- Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: uint8[1, 520, 520, 3]Completion Time
8/8/2026, 3:49:35 PM
Versions
- Lite RT: 1.4.5
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Qualcomm Linux: 24.04
- AI Hub: aihub-2026.07.31.1
Estimated Inference Time
15.2 ms
Estimated Peak Memory Usage
0 ‑ 37 MB
Compute Units
NPU
82
| Stage | Time | Memory |
|---|---|---|
First App Load | 7.59 s | 265‑266 MB |
Subsequent App Load | 233 ms | 35‑36 MB |
Inference | 15.2 ms | 0‑37 MB |
| Lite RT | 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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