Profile Job Results
Jobs
jp14l2n7p
Results Ready
Name
quicksrnetsmall_quantized
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
1/21/2025, 5:34:21 PM
Versions
- TensorFlow Lite: 2.17.0
- QNN TfLite Delegate: v2.28.2.241116104011_103376
- Android: 12 (SP1A.210812.016)
- AI Hub: aihub-2025.01.04.0
Estimated Inference Time
2.24 ms
Estimated Peak Memory Usage
0 ‑ 13 MB
Compute Units
NPU
10
CPU
3
| Stage | Time | Memory |
|---|---|---|
First App Load | 386 ms | 21‑32 MB |
Subsequent App Load | 290 ms | 16‑34 MB |
Inference | 2.24 ms | 0‑13 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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