Profile Job Results
Jobs
jgzmeo84p
Results Ready
Name
rtmpose_body2d
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, 256, 192]Completion Time
9/5/2026, 11:35:02 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-2026.08.28.1
Estimated Inference Time
2.84 ms
Estimated Peak Memory Usage
1 ‑ 43 MB
Compute Units
NPU
255
CPU
1
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.51 s | 181‑182 MB |
Subsequent App Load | 275 ms | 39‑40 MB |
Inference | 2.84 ms | 1‑43 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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