Profile Job Results
Jobs
jgnzx39mg
Results Ready
Name
bevdet_decoder
Target Device
- SA8295P ADP
- Android 14
- Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
bev_feature: float32[1, 64, 128, 128]Completion Time
9/19/2026, 1:33:14 PM
Options
--qairt_version latestVersions
- Lite RT: 1.4.2
- QAIRT: v2.50.0.260828221209
- QNN TfLite Delegate: v2.50.0.260828221209
- Android: 14 (UQ1A.240205.002)
- Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
- AI Hub: aihub-2026.09.11.0
Estimated Inference Time
24.7 ms
Estimated Peak Memory Usage
1 ‑ 141 MB
Compute Units
NPU
52
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.02 s | 214‑219 MB |
Subsequent App Load | 210 ms | 38‑179 MB |
Inference | 24.7 ms | 1‑141 MB |
| Lite RT | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| 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