Profile Job Results
Jobs
jp3e2ddx5
Results Ready
Name
rf_detr_float
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 560, 560, 3]Completion Time
1/10/2026, 10:30:19 PM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.41.0.251128145156_191518
- QNN TfLite Delegate: v2.41.0.251128145156_191518
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.01.05.0
Estimated Inference Time
65.4 ms
Estimated Peak Memory Usage
0 ‑ 1 GB
Compute Units
NPU
1206
CPU
26
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.42 min | 866‑874 MB |
Subsequent App Load | 296 ms | 0‑1 GB |
Inference | 65.4 ms | 0‑1 GB |
| TensorFlow Lite | 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 |
| XNNPACK Delegate | Value |
|---|
Sign up to run this model on a hosted Qualcomm® device!
Run on device