Profile Job Results
Jobs
jglxk0w8g
Results Ready
Name
inception_v3
Target Device
- Arduino VENTUNO Q
- Ubuntu 24.04
- Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image_tensor: float32[1, 299, 299, 3]Completion Time
8/22/2026, 5:33:31 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-2026.08.14.0
Estimated Inference Time
3.98 ms
Estimated Peak Memory Usage
0 ‑ 50 MB
Compute Units
NPU
129
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.85 s | 179‑180 MB |
Subsequent App Load | 211 ms | 48 MB |
Inference | 3.98 ms | 0‑50 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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