Profile Job Results
Jobs
jprl9kmvp
Results Ready
Name
mobilesam_decoder
Target Device
- Arduino VENTUNO Q
- Ubuntu 24.04
- Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image_embeddings: float32[1, 64, 64, 256]point_coords: float32[1, 1, 2]point_labels: float32[1, 1]Completion Time
9/20/2026, 3:14:18 AM
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
5.25 ms
Estimated Peak Memory Usage
0 ‑ 20 MB
Compute Units
NPU
905
| Stage | Time | Memory |
|---|---|---|
First App Load | 4.35 s | 155‑156 MB |
Subsequent App Load | 216 ms | 15‑16 MB |
Inference | 5.25 ms | 0‑20 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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