Profile Job Results
Jobs
jp2ln1qxg
Results Ready
Name
rtmdet_float
Target Device
- QCS8450 (Proxy)
- Android 13
- Qualcomm® QCS8450
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[1, 640, 640, 3]Completion Time
1/10/2026, 8:22:42 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: 13 (TP1A.220624.014)
- AI Hub: aihub-2026.01.05.0
Estimated Inference Time
37.4 ms
Estimated Peak Memory Usage
0 ‑ 315 MB
Compute Units
NPU
453
CPU
1
| Stage | Time | Memory |
|---|---|---|
First App Load | 7.48 s | 576‑583 MB |
Subsequent App Load | 213 ms | 61‑377 MB |
Inference | 37.4 ms | 0‑315 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.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
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