Xiaomi Redmi K40
Geekbench AI Score
837
Single Precision Score
1451
Half Precision Score
1318
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | LiBoHanse |
| Upload Date | October 09 2025 04:08 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 870 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi Redmi K40 |
| Model ID | Xiaomi M2012K11AC |
| Motherboard | alioth |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 11.23 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
652
121.2 IPS |
|
|
Image Classification (HP)
|
100% |
957
178.0 IPS |
|
|
Image Classification (Q)
|
99% |
833
155.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
975
15.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1718
27.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1536
25.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4085
4.77 IPS |
|
|
Pose Estimation (HP)
|
99% |
7056
8.23 IPS |
|
|
Pose Estimation (Q)
|
97% |
6779
7.94 IPS |
|
|
Object Detection (SP)
|
100% |
448
35.5 IPS |
|
|
Object Detection (HP)
|
99% |
771
61.2 IPS |
|
|
Object Detection (Q)
|
85% |
669
53.8 IPS |
|
|
Face Detection (SP)
|
100% |
1802
21.4 IPS |
|
|
Face Detection (HP)
|
100% |
3008
35.7 IPS |
|
|
Face Detection (Q)
|
97% |
2706
32.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1948
15.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
2902
22.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2465
22.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4788
6.16 IPS |
|
|
Style Transfer (HP)
|
100% |
9747
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
9412
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
917
33.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1682
62.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1770
65.6 IPS |
|
|
Text Classification (SP)
|
35% |
31
301.1 IPS |
|
|
Text Classification (HP)
|
35% |
51
465.2 IPS |
|
|
Text Classification (Q)
|
35% |
52
475.6 IPS |
|
|
Machine Translation (SP)
|
100% |
304
5.23 IPS |
|
|
Machine Translation (HP)
|
97% |
636
11.0 IPS |
|
|
Machine Translation (Q)
|
64% |
474
9.74 IPS |
