Profile Job Results
Jobs
jpyxd9ml5
Results Ready
Name
yolo_world_detector
Target Device
- Arduino VENTUNO Q
- Ubuntu 24.04
- Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[1, 3, 640, 640]txt_feats: float32[1, 80, 512]Completion Time
8/23/2026, 1:42:49 AM
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
92.5 ms
Estimated Peak Memory Usage
0 ‑ 36 MB
Compute Units
NPU
373
| Stage | Time | Memory |
|---|---|---|
First App Load | 28.2 s | 345‑346 MB |
Subsequent App Load | 244 ms | 30‑31 MB |
Inference | 92.5 ms | 0‑36 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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