Profile Job Results
Jobs
jgdq33ve5
Results Ready
Name
bisenet
Target Device
- QCS8250 (Proxy)
- Android 12
- Qualcomm® QCS8250
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 720, 960, 3]Completion Time
8/24/2025, 12:38:23 PM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- Android: 11 (RP1A.200720.012)
- AI Hub: aihub-2025.08.21.0
Estimated Inference Time
287 ms
Estimated Peak Memory Usage
8 ‑ 11 MB
Compute Units
NPU
68
| Stage | Time | Memory |
|---|---|---|
First App Load | 370 ms | 1‑3 MB |
Subsequent App Load | 165 ms | 0‑3 MB |
Inference | 287 ms | 8‑11 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| NNAPI Delegate | Value |
|---|---|
| accelerator_name | "qti-dsp" |
| execution_preference | kSustainedSpeed |
| allow_fp16 | true |
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