Profile Job Results
Jobs
jgkqmqkwg
Results Ready
Name
yolov7_w8a8
Target Device
- Snapdragon 7 Gen 5 QRD
- Android 16
- Snapdragon® 7 Gen 5 | SM7750
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image
: uint8[1, 640, 640, 3]Completion Time
10/4/2025, 3:16:20 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.38.0.250901140452_125126
- QNN TfLite Delegate: v2.38.0.250901140452_125126
- Android: 15 (AQ3A.250411.001)
- Build ID: Eliza.LA.1.0.r1-00181-STD.PROD-1
- AI Hub: aihub-2025.09.26.0
Estimated Inference Time
9.80 ms
Estimated Peak Memory Usage
8 ‑ 48 MB
Compute Units
NPU
220
GPU
1
Stage | Time | Memory |
---|---|---|
First App Load | 1.62 s | 117‑123 MB |
Subsequent App Load | 1.55 s | 90‑205 MB |
Inference | 9.80 ms | 8‑48 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 |
GPUv2 Delegate | Value |
---|---|
inference_preference | TFLITE_GPU_INFERENCE_PREFERENCE_SUSTAINED_SPEED |
inference_priority1 | TFLITE_GPU_INFERENCE_PRIORITY_MIN_LATENCY |
inference_priority2 | TFLITE_GPU_INFERENCE_PRIORITY_MIN_MEMORY_USAGE |
inference_priority3 | TFLITE_GPU_INFERENCE_PRIORITY_MAX_PRECISION |
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