| Upload Date | November 20 2025 12:56 PM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | MediaTek Dimensity 1200 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi Redmi K40 Gaming |
| Model ID | Xiaomi M2012K10C |
| Motherboard | ares |
| CPU Information | |
|---|---|
| Name | ARM MT6893Z/CZA |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 2.60 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 11.26 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
445
82.8 IPS |
|
|
Image Classification (HP)
|
100% |
645
119.9 IPS |
|
|
Image Classification (Q)
|
97% |
450
83.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
711
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1693
27.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1493
24.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3943
4.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
7395
8.63 IPS |
|
|
Pose Estimation (Q)
|
95% |
7179
8.41 IPS |
|
|
Object Detection (SP)
|
100% |
399
31.6 IPS |
|
|
Object Detection (HP)
|
99% |
640
50.7 IPS |
|
|
Object Detection (Q)
|
83% |
351
28.3 IPS |
|
|
Face Detection (SP)
|
100% |
859
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
1636
19.4 IPS |
|
|
Face Detection (Q)
|
96% |
1349
16.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2380
18.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
4000
30.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
3166
30.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6527
8.39 IPS |
|
|
Style Transfer (HP)
|
100% |
14330
18.4 IPS |
|
|
Style Transfer (Q)
|
98% |
13879
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1242
45.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1341
49.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1176
43.6 IPS |
|
|
Text Classification (SP)
|
35% |
15
132.5 IPS |
|
|
Text Classification (HP)
|
35% |
20
180.1 IPS |
|
|
Text Classification (Q)
|
32% |
13
166.8 IPS |
|
|
Machine Translation (SP)
|
100% |
227
3.91 IPS |
|
|
Machine Translation (HP)
|
100% |
264
4.55 IPS |
|
|
Machine Translation (Q)
|
43% |
67
3.89 IPS |