Profile Job Results
Jobs
jp4y82w1p
Results Ready
Name
rangenet_plus_plus
Target Device
- Arduino VENTUNO Q
- Ubuntu 24.04
- Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
range_image: float32[1, 64, 2048, 5]Completion Time
9/19/2026, 11:40:10 PM
Options
--qairt_version latestVersions
- Lite RT: 1.4.2
- QAIRT: v2.50.0.260828221209
- QNN TfLite Delegate: v2.50.0.260828221209
- Qualcomm Linux: 24.04
- AI Hub: aihub-2026.09.11.0
Estimated Inference Time
179 ms
Estimated Peak Memory Usage
13 ‑ 134 MB
Compute Units
NPU
176
CPU
1
| Stage | Time | Memory |
|---|---|---|
First App Load | 13.3 s | 395‑396 MB |
Subsequent App Load | 415 ms | 116‑117 MB |
Inference | 179 ms | 13‑134 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 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device