Profile Job Results
Jobs
jp1w0oklg
Results Ready
Name
squeezenet1_1
Target Device
- QCS6490 (Proxy)
- Android 12
- Qualcomm® QCS6490
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: uint8[1, 224, 224, 3]Completion Time
9/27/2025, 5:46:28 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.38.0.250901140452_125126
- QNN TfLite Delegate: v2.38.0.250901140452_125126
- Android: 12 (SP1A.210812.016)
- AI Hub: aihub-2025.09.23.1
Estimated Inference Time
496 μs
Estimated Peak Memory Usage
0 ‑ 21 MB
Compute Units
NPU
43
| Stage | Time | Memory |
|---|---|---|
First App Load | 511 ms | 95‑106 MB |
Subsequent App Load | 467 ms | 93‑185 MB |
Inference | 496 μs | 0‑21 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 |
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