| Upload Date | August 25 2024 04:18 PM |
| Views | 35 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6769T |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Xiaomi M2004J19C |
| Model ID | Xiaomi M2004J19C |
| Motherboard | galahad |
| CPU Information | |
|---|---|
| Name | ARM MT6769T |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 3.61 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
97
18.1 IPS |
|
|
Image Classification (HP)
|
100% |
100
18.6 IPS |
|
|
Image Classification (Q)
|
100% |
212
39.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
111
1.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
115
1.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
260
4.22 IPS |
|
|
Pose Estimation (SP)
|
100% |
466
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
458
0.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
412
0.49 IPS |
|
|
Object Detection (SP)
|
100% |
94
7.44 IPS |
|
|
Object Detection (HP)
|
100% |
91
7.26 IPS |
|
|
Object Detection (Q)
|
87% |
206
16.6 IPS |
|
|
Face Detection (SP)
|
100% |
303
3.60 IPS |
|
|
Face Detection (HP)
|
100% |
304
3.61 IPS |
|
|
Face Detection (Q)
|
95% |
562
6.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
394
3.03 IPS |
|
|
Depth Estimation (HP)
|
100% |
406
3.13 IPS |
|
|
Depth Estimation (Q)
|
75% |
517
4.19 IPS |
|
|
Style Transfer (SP)
|
89% |
808
1.05 IPS |
|
|
Style Transfer (HP)
|
89% |
804
1.04 IPS |
|
|
Style Transfer (Q)
|
98% |
1050
1.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
185
6.83 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
193
7.11 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
236
8.73 IPS |
|
|
Text Classification (SP)
|
100% |
112
149.1 IPS |
|
|
Text Classification (HP)
|
100% |
116
154.2 IPS |
|
|
Text Classification (Q)
|
88% |
165
222.5 IPS |
|
|
Machine Translation (SP)
|
100% |
221
3.81 IPS |
|
|
Machine Translation (HP)
|
100% |
222
3.82 IPS |
|
|
Machine Translation (Q)
|
50% |
150
5.31 IPS |