Profile Job Results
Jobs
jegnwe4kg
Results Ready
Name
trocr_TrOCRDecoder
Target Device
- XR2 Gen 2 (Proxy)
- Android 13
- Qualcomm® QCS8450
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
input_ids: int32[1, 1]index: int32[1]kv_0_attn_key: float32[1, 8, 19, 32]kv_0_attn_val: float32[1, 8, 19, 32]kv_0_cross_attn_key: float32[1, 8, 578, 32]kv_0_cross_attn_val: float32[1, 8, 578, 32]kv_1_attn_key: float32[1, 8, 19, 32]kv_1_attn_val: float32[1, 8, 19, 32]kv_1_cross_attn_key: float32[1, 8, 578, 32]kv_1_cross_attn_val: float32[1, 8, 578, 32]kv_2_attn_key: float32[1, 8, 19, 32]kv_2_attn_val: float32[1, 8, 19, 32]kv_2_cross_attn_key: float32[1, 8, 578, 32]kv_2_cross_attn_val: float32[1, 8, 578, 32]kv_3_attn_key: float32[1, 8, 19, 32]kv_3_attn_val: float32[1, 8, 19, 32]kv_3_cross_attn_key: float32[1, 8, 578, 32]kv_3_cross_attn_val: float32[1, 8, 578, 32]kv_4_attn_key: float32[1, 8, 19, 32]kv_4_attn_val: float32[1, 8, 19, 32]kv_4_cross_attn_key: float32[1, 8, 578, 32]kv_4_cross_attn_val: float32[1, 8, 578, 32]kv_5_attn_key: float32[1, 8, 19, 32]kv_5_attn_val: float32[1, 8, 19, 32]kv_5_cross_attn_key: float32[1, 8, 578, 32]kv_5_cross_attn_val: float32[1, 8, 578, 32]Completion Time
8/27/2024, 8:23:22 AM
Versions
- TensorFlow Lite: 2.16.1
- QNN TfLite Delegate: v2.25.0.240728104910_97711
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2024.08.23.0
Estimated Inference Time
2.81 ms
Estimated Peak Memory Usage
0 - 186 MB
Compute Units
NPU
399
| Stage | Time | Memory |
|---|---|---|
First App Load | 3.06 s | 915-924 MB |
Subsequent App Load | 248 ms | 0-187 MB |
Inference | 2.81 ms | 0-186 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 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device