Xiaomi Redmi K40
Geekbench AI Score
238
Single Precision Score
236
Half Precision Score
987
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | LiBoHanse |
| Upload Date | October 09 2025 04:04 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
149
27.7 IPS |
|
|
Image Classification (HP)
|
100% |
151
28.0 IPS |
|
|
Image Classification (Q)
|
96% |
1134
211.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
191
3.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
192
3.12 IPS |
|
|
Image Segmentation (Q)
|
98% |
1231
20.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
252
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
252
0.29 IPS |
|
|
Pose Estimation (Q)
|
96% |
13112
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
148
11.7 IPS |
|
|
Object Detection (HP)
|
100% |
148
11.7 IPS |
|
|
Object Detection (Q)
|
84% |
1257
101.4 IPS |
|
|
Face Detection (SP)
|
100% |
361
4.29 IPS |
|
|
Face Detection (HP)
|
100% |
365
4.33 IPS |
|
|
Face Detection (Q)
|
97% |
2102
25.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
297
2.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
299
2.30 IPS |
|
|
Depth Estimation (Q)
|
64% |
5498
50.5 IPS |
|
|
Style Transfer (SP)
|
100% |
474
0.61 IPS |
|
|
Style Transfer (HP)
|
100% |
460
0.59 IPS |
|
|
Style Transfer (Q)
|
98% |
18515
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
145
5.36 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
141
5.22 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
574
21.3 IPS |
|
|
Text Classification (SP)
|
100% |
222
296.0 IPS |
|
|
Text Classification (HP)
|
100% |
222
296.7 IPS |
|
|
Text Classification (Q)
|
93% |
311
417.4 IPS |
|
|
Machine Translation (SP)
|
100% |
347
5.99 IPS |
|
|
Machine Translation (HP)
|
100% |
320
5.51 IPS |
|
|
Machine Translation (Q)
|
0% |
0
2.06 IPS |
