Profile Job Results
Jobs
jgd618d6p
Results Ready
Name
efficientnet_v2_s
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image_tensor: float32[1, 384, 384, 3]Completion Time
10/3/2026, 9:48:19 PM
Versions
- Lite RT: 1.4.2
- QAIRT: v2.50.0.260828221209
- QNN TfLite Delegate: v2.50.0.260828221209
- Android: 14 (UAG2.240908.001)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00016-STD.PROD-3
- AI Hub: aihub-2026.09.25.0
Estimated Inference Time
25.7 ms
Estimated Peak Memory Usage
0 ‑ 116 MB
Compute Units
NPU
508
| Stage | Time | Memory |
|---|---|---|
First App Load | 8.31 s | 174‑183 MB |
Subsequent App Load | 669 ms | 48‑165 MB |
Inference | 25.7 ms | 0‑116 MB |
| Lite RT | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.precision | kHtpFp16 |
| htp_options.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
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