Profile Job Results
Jobs
jp312molg
Results Ready
Name
squeezenet1_1_w8a8
Target Device
- Snapdragon 7 Gen 5 QRD
- Android 16
- Snapdragon® 7 Gen 5 | SM7750
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: uint8[1, 224, 224, 3]Completion Time
10/5/2025, 2:30:41 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.38.0.250901140452_125126
- QNN TfLite Delegate: v2.38.0.250901140452_125126
- Android: 15 (AQ3A.250411.001)
- Build ID: Eliza.LA.1.0.r1-00181-STD.PROD-1
- AI Hub: aihub-2025.09.26.0
Estimated Inference Time
199 μs
Estimated Peak Memory Usage
0 ‑ 22 MB
Compute Units
NPU
43
| Stage | Time | Memory |
|---|---|---|
First App Load | 439 ms | 98‑104 MB |
Subsequent App Load | 425 ms | 28‑114 MB |
Inference | 199 μs | 0‑22 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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