Profile Job Results
Jobs
jp3ez6ml5
Results Ready
Name
ffnet_40s_float
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 1024, 2048, 3]Completion Time
11/30/2025, 11:38:28 AM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.40.0.251030114326_189385
- QNN TfLite Delegate: v2.40.0.251030114326_189385
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.11.18.0
Estimated Inference Time
45.3 ms
Estimated Peak Memory Usage
3 ‑ 20 MB
Compute Units
NPU
94
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.20 s | 279‑280 MB |
Subsequent App Load | 2.21 s | 308‑311 MB |
Inference | 45.3 ms | 3‑20 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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