| Upload Date | November 20 2025 12:47 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
509
94.7 IPS |
|
|
Image Classification (HP)
|
100% |
430
79.9 IPS |
|
|
Image Classification (Q)
|
100% |
1373
255.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
626
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
608
9.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
1606
26.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2087
2.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
1997
2.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
3747
4.44 IPS |
|
|
Object Detection (SP)
|
100% |
416
33.0 IPS |
|
|
Object Detection (HP)
|
100% |
431
34.2 IPS |
|
|
Object Detection (Q)
|
83% |
1303
105.2 IPS |
|
|
Face Detection (SP)
|
100% |
1374
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
1425
16.9 IPS |
|
|
Face Detection (Q)
|
95% |
3325
39.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1533
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1484
11.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3277
30.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3723
4.83 IPS |
|
|
Style Transfer (HP)
|
89% |
3843
4.99 IPS |
|
|
Style Transfer (Q)
|
98% |
8344
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
932
34.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
928
34.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1996
74.0 IPS |
|
|
Text Classification (SP)
|
100% |
496
662.1 IPS |
|
|
Text Classification (HP)
|
100% |
485
647.0 IPS |
|
|
Text Classification (Q)
|
88% |
1065
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
779
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
759
13.1 IPS |
|
|
Machine Translation (Q)
|
50% |
453
16.1 IPS |