Profile Job Results
Jobs
jprem4875
Results Ready
Name
rf_detr_float
Target Device
- SA8255 (Proxy)
- Android 13
- Qualcomm® SA8255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 560, 560, 3]Completion Time
12/13/2025, 8:51:45 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.40.0.251030114326_189385
- QNN TfLite Delegate: v2.40.0.251030114326_189385
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.12.07.0
Estimated Inference Time
107 ms
Estimated Peak Memory Usage
6 ‑ 31 MB
Compute Units
NPU
1206
CPU
26
| Stage | Time | Memory |
|---|---|---|
First App Load | 35.2 s | 714‑715 MB |
Subsequent App Load | 34.9 s | 739‑743 MB |
Inference | 107 ms | 6‑31 MB |
| 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.useConvHmx | true |
| XNNPACK Delegate | Value |
|---|
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