Profile Job Results
Jobs
jpevvw6v5
Results Ready
Name
squeezenet1_1_float
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: float32[1, 224, 224, 3]Completion Time
1/31/2026, 8:21:33 PM
Versions
- TensorFlow Lite: 2.17.0
- Android: 14 (UAG2.240908.001)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00016-STD.PROD-3
- AI Hub: aihub-2026.01.22.0
Estimated Inference Time
5.92 ms
Estimated Peak Memory Usage
0 ‑ 27 MB
Compute Units
GPU
41
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.78 s | 32‑38 MB |
Subsequent App Load | 292 ms | 7‑35 MB |
Inference | 5.92 ms | 0‑27 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| GPUv2 Delegate | Value |
|---|---|
| inference_preference | TFLITE_GPU_INFERENCE_PREFERENCE_SUSTAINED_SPEED |
| inference_priority1 | TFLITE_GPU_INFERENCE_PRIORITY_MIN_LATENCY |
| inference_priority2 | TFLITE_GPU_INFERENCE_PRIORITY_MIN_MEMORY_USAGE |
| inference_priority3 | TFLITE_GPU_INFERENCE_PRIORITY_MAX_PRECISION |
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