Xiaomi Redmi K40
Geekbench AI Score
390
Single Precision Score
650
Half Precision Score
678
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | kitsunechan_2525 |
| Upload Date | June 08 2025 12:00 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 870 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 7.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
284
52.8 IPS |
|
|
Image Classification (HP)
|
100% |
406
75.5 IPS |
|
|
Image Classification (Q)
|
97% |
405
75.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
397
6.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
790
12.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
792
12.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
560
0.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
987
1.15 IPS |
|
|
Pose Estimation (Q)
|
95% |
982
1.15 IPS |
|
|
Object Detection (SP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (HP)
|
100% |
282
22.3 IPS |
|
|
Object Detection (Q)
|
89% |
313
25.0 IPS |
|
|
Face Detection (SP)
|
100% |
616
7.32 IPS |
|
|
Face Detection (HP)
|
100% |
1289
15.3 IPS |
|
|
Face Detection (Q)
|
97% |
1314
15.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
661
5.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
1260
9.74 IPS |
|
|
Depth Estimation (Q)
|
62% |
1023
9.68 IPS |
|
|
Style Transfer (SP)
|
100% |
1266
1.63 IPS |
|
|
Style Transfer (HP)
|
100% |
3077
3.96 IPS |
|
|
Style Transfer (Q)
|
98% |
2840
3.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
271
10.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
566
20.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
582
21.6 IPS |
|
|
Text Classification (SP)
|
100% |
145
193.4 IPS |
|
|
Text Classification (HP)
|
100% |
171
227.7 IPS |
|
|
Text Classification (Q)
|
91% |
334
449.1 IPS |
|
|
Machine Translation (SP)
|
100% |
313
5.39 IPS |
|
|
Machine Translation (HP)
|
100% |
315
5.43 IPS |
|
|
Machine Translation (Q)
|
57% |
282
6.90 IPS |
