Profile Job Results
Jobs
jgn9de4m5
Results Ready
Name
ffnet_78s
Target Device
- Dragonwing RB3 Gen 2 Vision Kit
- Qualcomm Linux 1.6
- Qualcomm® Dragonwing™ RB3 Gen 2 | QCS6490
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 1024, 2048, 3]Completion Time
4/18/2026, 10:28:34 PM
Versions
- LiteRT: 1.4.2
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Qualcomm Linux: 1.6-ver.1.2
- AI Hub: aihub-2026.04.13.0
Estimated Inference Time
57.5 ms
Estimated Peak Memory Usage
1 ‑ 36 MB
Compute Units
NPU
156
| Stage | Time | Memory |
|---|---|---|
First App Load | 7.20 s | 332‑333 MB |
Subsequent App Load | 294 ms | 30 MB |
Inference | 57.5 ms | 1‑36 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 | kHtpOptimizeForInference |
| htp_options.useConvHmx | true |
Sign up to run this model on a hosted Qualcomm® device!
Run on device