Xiaomi Redmi K40
Geekbench AI Score
958
Single Precision Score
951
Half Precision Score
1645
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | kitsunechan_2525 |
| Upload Date | June 08 2025 11:52 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
473
88.0 IPS |
|
|
Image Classification (HP)
|
100% |
504
93.7 IPS |
|
|
Image Classification (Q)
|
100% |
1405
261.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
643
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
610
9.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
1604
26.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2072
2.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
1964
2.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
2785
3.30 IPS |
|
|
Object Detection (SP)
|
100% |
404
32.1 IPS |
|
|
Object Detection (HP)
|
100% |
399
31.7 IPS |
|
|
Object Detection (Q)
|
83% |
1092
88.2 IPS |
|
|
Face Detection (SP)
|
100% |
1374
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
1372
16.3 IPS |
|
|
Face Detection (Q)
|
95% |
2546
30.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1779
13.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1772
13.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
2553
23.4 IPS |
|
|
Style Transfer (SP)
|
89% |
3439
4.46 IPS |
|
|
Style Transfer (HP)
|
89% |
3430
4.45 IPS |
|
|
Style Transfer (Q)
|
98% |
6478
8.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
967
35.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
967
35.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1548
57.4 IPS |
|
|
Text Classification (SP)
|
100% |
434
578.9 IPS |
|
|
Text Classification (HP)
|
100% |
434
579.4 IPS |
|
|
Text Classification (Q)
|
88% |
711
959.2 IPS |
|
|
Machine Translation (SP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
721
12.4 IPS |
|
|
Machine Translation (Q)
|
50% |
459
16.3 IPS |
