Xiaomi M2012K11AG
Geekbench AI Score
352
Single Precision Score
345
Half Precision Score
1182
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 02:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
425
79.0 IPS |
|
|
Image Classification (HP)
|
100% |
701
130.4 IPS |
|
|
Image Classification (Q)
|
97% |
1357
253.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
556
9.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
111
1.80 IPS |
|
|
Image Segmentation (Q)
|
98% |
1284
20.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1430
1.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
5425
6.33 IPS |
|
|
Pose Estimation (Q)
|
96% |
11594
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
404
32.0 IPS |
|
|
Object Detection (HP)
|
100% |
84
6.65 IPS |
|
|
Object Detection (Q)
|
85% |
1344
108.2 IPS |
|
|
Face Detection (SP)
|
100% |
1202
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
224
2.66 IPS |
|
|
Face Detection (Q)
|
97% |
3738
44.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
354
2.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
185
1.42 IPS |
|
|
Depth Estimation (Q)
|
22% |
258
59.2 IPS |
|
|
Style Transfer (SP)
|
100% |
512
0.66 IPS |
|
|
Style Transfer (HP)
|
100% |
312
0.40 IPS |
|
|
Style Transfer (Q)
|
98% |
2361
3.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
742
27.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2148
79.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5424
201.0 IPS |
|
|
Text Classification (SP)
|
71% |
8
11.5 IPS |
|
|
Text Classification (HP)
|
100% |
120
159.9 IPS |
|
|
Text Classification (Q)
|
93% |
131
176.3 IPS |
|
|
Machine Translation (SP)
|
100% |
170
2.92 IPS |
|
|
Machine Translation (HP)
|
100% |
205
3.53 IPS |
|
|
Machine Translation (Q)
|
54% |
122
3.45 IPS |
