Profile Job Results
Jobs
jpedqn2v5
Results Ready
Name
quicksrnetlarge_quantized
Target Device
- QCS8250 (Proxy)
- Android 12
- Qualcomm® QCS8250
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 128, 128, 3]Completion Time
1/8/2025, 9:43:13 AM
Versions
- TensorFlow Lite: 2.17.0
- Android: 11 (RP1A.200720.012)
- AI Hub: aihub-2025.01.04.0
Estimated Inference Time
43.4 ms
Estimated Peak Memory Usage
2 ‑ 4 MB
Compute Units
NPU
30
CPU
3
| Stage | Time | Memory |
|---|---|---|
First App Load | 238 ms | 0‑3 MB |
Subsequent App Load | 64.0 ms | 0‑3 MB |
Inference | 43.4 ms | 2‑4 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| NNAPI Delegate | Value |
|---|---|
| accelerator_name | "qti-dsp" |
| execution_preference | kSustainedSpeed |
| allow_fp16 | true |
| XNNPACK Delegate | Value |
|---|
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