Profile Job Results
Jobs
jp4x61m15
Results Ready
Name
efficientnet_v2_s
Target Device
- Snapdragon 8 Elite Gen 5 QRD
- Android 16
- Snapdragon® 8 Elite Gen 5 | SM8850
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: float32[1, 224, 224, 3]Completion Time
4/19/2026, 7:56:49 AM
Versions
- LiteRT: 1.4.2
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Android: 16 (BQ2A.251217.002-BP2A.250705.008)
- Build ID: Kaanapali.LA.1.0.r1-01100-STD.PROD-1
- AI Hub: aihub-2026.04.13.0
Estimated Inference Time
1.20 ms
Estimated Peak Memory Usage
0 ‑ 107 MB
Compute Units
NPU
508
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.11 s | 310‑317 MB |
Subsequent App Load | 97.4 ms | 49‑158 MB |
Inference | 1.20 ms | 0‑107 MB |
| Lite RT | 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.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
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