Xiaomi Redmi K40
Geekbench AI Score
453
Single Precision Score
555
Half Precision Score
1794
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | LiBoHanse |
| Upload Date | August 17 2024 07:20 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
463
86.1 IPS |
|
|
Image Classification (HP)
|
100% |
749
139.2 IPS |
|
|
Image Classification (Q)
|
97% |
1395
260.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
664
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
221
3.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
1289
21.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1591
1.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
5993
6.99 IPS |
|
|
Pose Estimation (Q)
|
96% |
11489
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
448
35.6 IPS |
|
|
Object Detection (HP)
|
100% |
168
13.3 IPS |
|
|
Object Detection (Q)
|
89% |
1717
137.4 IPS |
|
|
Face Detection (SP)
|
100% |
1257
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
401
4.76 IPS |
|
|
Face Detection (Q)
|
97% |
3703
44.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
539
4.15 IPS |
|
|
Depth Estimation (HP)
|
100% |
341
2.63 IPS |
|
|
Depth Estimation (Q)
|
46% |
2934
58.9 IPS |
|
|
Style Transfer (SP)
|
100% |
850
1.09 IPS |
|
|
Style Transfer (HP)
|
100% |
556
0.71 IPS |
|
|
Style Transfer (Q)
|
98% |
4258
5.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
806
29.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2255
83.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5607
207.8 IPS |
|
|
Text Classification (SP)
|
71% |
12
16.7 IPS |
|
|
Text Classification (HP)
|
100% |
251
334.7 IPS |
|
|
Text Classification (Q)
|
93% |
144
193.7 IPS |
|
|
Machine Translation (SP)
|
100% |
300
5.18 IPS |
|
|
Machine Translation (HP)
|
100% |
388
6.68 IPS |
|
|
Machine Translation (Q)
|
54% |
262
7.38 IPS |
