Profile Job Results
Jobs
jp340v6lg
Results Ready
Name
nomic_embed_text
Target Device
- SA8775P ADP
- Android 14
- Qualcomm® SA8775P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
input_tokens: int32[1, 128]attention_masks: int32[1, 128]Completion Time
3/14/2026, 12:57:55 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.43.0.260127150333_193827
- QNN TfLite Delegate: v2.43.0.260127150333_193827
- Android: 14 (UAG2.240908.001)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00016-STD.PROD-3
- AI Hub: aihub-2026.03.09.0
Estimated Inference Time
9.68 ms
Estimated Peak Memory Usage
0 ‑ 419 MB
Compute Units
NPU
788
| Stage | Time | Memory |
|---|---|---|
First App Load | 20.8 s | 697‑706 MB |
Subsequent App Load | 1.10 s | 265‑685 MB |
Inference | 9.68 ms | 0‑419 MB |
| TensorFlow Lite | 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 |
| htp_options.device_id | 1 |
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