Profile Job Results
Jobs
jp4eqlv1g
Results Ready
Name
superpoint
Target Device
- Arduino VENTUNO Q
- Ubuntu 24.04
- Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image_a: uint8[1, 3, 480, 640]image_b: uint8[1, 3, 480, 640]Completion Time
10/20/2026, 8:39:47 AM
Options
--qairt_version 2.50Versions
- Lite RT: 1.4.2
- QAIRT: v2.50.0.260828221209
- QNN TfLite Delegate: v2.50.0.260828221209
- Qualcomm Linux: 24.04
- AI Hub: aihub-2026.10.10.0
Estimated Inference Time
19.3 ms
Estimated Peak Memory Usage
3 ‑ 13 MB
Compute Units
NPU
156
| Stage | Time | Memory |
|---|---|---|
First App Load | 7.33 s | 172‑173 MB |
Subsequent App Load | 204 ms | 5‑6 MB |
Inference | 19.3 ms | 3‑13 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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