Xiaomi M2006C3LI
Geekbench AI Score
124
Single Precision Score
121
Half Precision Score
88
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 21 2026 12:55 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM MT6762G |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Xiaomi M2006C3LI |
| Model ID | Xiaomi M2006C3LI |
| Motherboard | blossom |
| CPU Information | |
|---|---|
| Name | ARM MT6762G |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 1.50 GHz |
| Cluster 2 | 4 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 1.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
78
14.6 IPS |
|
|
Image Classification (HP)
|
100% |
80
14.9 IPS |
|
|
Image Classification (Q)
|
100% |
69
12.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
98
1.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
99
1.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
87
1.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
407
0.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
405
0.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
392
0.46 IPS |
|
|
Object Detection (SP)
|
100% |
77
6.07 IPS |
|
|
Object Detection (HP)
|
100% |
78
6.17 IPS |
|
|
Object Detection (Q)
|
85% |
68
5.47 IPS |
|
|
Face Detection (SP)
|
100% |
225
2.68 IPS |
|
|
Face Detection (HP)
|
100% |
214
2.55 IPS |
|
|
Face Detection (Q)
|
97% |
170
2.03 IPS |
|
|
Depth Estimation (SP)
|
100% |
263
2.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
261
2.01 IPS |
|
|
Depth Estimation (Q)
|
64% |
195
1.78 IPS |
|
|
Style Transfer (SP)
|
100% |
735
0.94 IPS |
|
|
Style Transfer (HP)
|
100% |
735
0.95 IPS |
|
|
Style Transfer (Q)
|
98% |
693
0.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
169
6.25 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
165
6.09 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
147
5.43 IPS |
|
|
Text Classification (SP)
|
35% |
8
72.2 IPS |
|
|
Text Classification (HP)
|
35% |
7
72.5 IPS |
|
|
Text Classification (Q)
|
32% |
5
64.1 IPS |
|
|
Machine Translation (SP)
|
100% |
64
1.09 IPS |
|
|
Machine Translation (HP)
|
100% |
60
1.04 IPS |
|
|
Machine Translation (Q)
|
41% |
11
0.73 IPS |
