Profile Job Results
Jobs
jprx32r9p
Results Ready
Name
bevdet_decoder
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® Dragonwing™ QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
bev_feature: float32[1, 64, 128, 128]Completion Time
10/3/2026, 3:30:03 PM
Versions
- Lite RT: 1.4.2
- QAIRT: v2.50.0.260828221209
- QNN TfLite Delegate: v2.50.0.260828221209
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2026.09.25.0
Estimated Inference Time
11.5 ms
Estimated Peak Memory Usage
1 ‑ 3 MB
Compute Units
NPU
52
| Stage | Time | Memory |
|---|---|---|
First App Load | 987 ms | 174‑175 MB |
Subsequent App Load | 220 ms | 14‑99 MB |
Inference | 11.5 ms | 1‑3 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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