Xiaomi M2012K11AG
Geekbench AI Score
1078
Single Precision Score
1010
Half Precision Score
1865
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | sinanthonyxd |
| Upload Date | March 06 2025 05:06 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi M2012K11AG |
| Model ID | Xiaomi M2012K11AG |
| Motherboard | kona |
| 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 | 5.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
488
90.7 IPS |
|
|
Image Classification (HP)
|
100% |
518
96.3 IPS |
|
|
Image Classification (Q)
|
100% |
1403
260.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
636
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
627
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1596
25.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2228
2.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
2185
2.55 IPS |
|
|
Pose Estimation (Q)
|
84% |
3553
4.21 IPS |
|
|
Object Detection (SP)
|
100% |
489
38.7 IPS |
|
|
Object Detection (HP)
|
100% |
497
39.4 IPS |
|
|
Object Detection (Q)
|
83% |
1306
105.5 IPS |
|
|
Face Detection (SP)
|
100% |
1613
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
1533
18.2 IPS |
|
|
Face Detection (Q)
|
95% |
2938
35.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1995
15.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1498
11.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3054
28.0 IPS |
|
|
Style Transfer (SP)
|
89% |
4073
5.29 IPS |
|
|
Style Transfer (HP)
|
89% |
3319
4.31 IPS |
|
|
Style Transfer (Q)
|
98% |
8162
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1112
41.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1129
41.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1701
63.0 IPS |
|
|
Text Classification (SP)
|
100% |
536
715.2 IPS |
|
|
Text Classification (HP)
|
100% |
544
726.1 IPS |
|
|
Text Classification (Q)
|
88% |
867
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
806
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
671
11.6 IPS |
|
|
Machine Translation (Q)
|
50% |
454
16.1 IPS |
