Profile Job Results
Jobs
jp3jxm13g
Results Ready
Name
efficientnet_v2_s
Target Device
- Snapdragon 8 Elite QRD
- Android 15
- Snapdragon® 8 Elite | SM8750
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: float32[1, 224, 224, 3]Completion Time
11/26/2024, 2:50:00 PM
Versions
- TensorFlow Lite: 2.17.0
- QNN TfLite Delegate: v2.28.2.241116104011_103376
- Android: 15 (AQ3A.240829.003)
- Build ID: Pakala.LA.1.0.r1-01032-STD.PROD-1
- AI Hub: aihub-2024.11.22.0
Estimated Inference Time
1.64 ms
Estimated Peak Memory Usage
0 ‑ 28 MB
Compute Units
NPU
508
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.88 s | 338‑347 MB |
Subsequent App Load | 1.72 s | 539‑598 MB |
Inference | 1.64 ms | 0‑28 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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