Profile Job Results
Jobs
jgdvv87lg
Results Ready
Name
mobilesam_float_MobileSAMDecoder
Target Device
- QCS8450 (Proxy)
- Android 13
- Qualcomm® QCS8450
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_embeddings: float32[1, 64, 64, 256]point_coords: float32[1, 2, 2]point_labels: float32[1, 2]Completion Time
2/1/2026, 1:41:04 AM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.42.0.251225135753_193295
- QNN TfLite Delegate: v2.42.0.251225135753_193295
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2026.01.22.0
Estimated Inference Time
9.54 ms
Estimated Peak Memory Usage
0 ‑ 225 MB
Compute Units
NPU
843
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.90 s | 269‑277 MB |
Subsequent App Load | 185 ms | 15‑236 MB |
Inference | 9.54 ms | 0‑225 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.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
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