Profile Job Results
Jobs
j5qr7zemp
Results Ready
Name
quicksrnetlarge
Target Device
- QCS6490 (Proxy)
- Android 12
- Qualcomm® QCS6490
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 128, 128, 3]Completion Time
7/26/2025, 5:51:38 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.34.2.250528164111_119506
- QNN TfLite Delegate: v2.34.2.250528164111_119506
- Android: 12 (SP1A.210812.016)
- AI Hub: aihub-2025.07.12.0
Estimated Inference Time
4.12 ms
Estimated Peak Memory Usage
2 ‑ 19 MB
Compute Units
NPU
30
CPU
3
| Stage | Time | Memory |
|---|---|---|
First App Load | 818 ms | 34‑46 MB |
Subsequent App Load | 738 ms | 25‑50 MB |
Inference | 4.12 ms | 2‑19 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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