Xiaomi M2006C3LG
Geekbench AI Score
136
Single Precision Score
135
Half Precision Score
153
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 12 2025 06:13 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6762G |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi M2006C3LG |
| Model ID | Xiaomi M2006C3LG |
| 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 | 2.10 GHz |
| Cluster 1 | 4 Cores @ 1.50 GHz |
| Cluster 2 | 4 Cores @ 2.10 GHz |
| Memory Information | |
|---|---|
| Size | 1.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
49
9.05 IPS |
|
|
Image Classification (HP)
|
100% |
57
10.6 IPS |
|
|
Image Classification (Q)
|
100% |
107
19.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
89
1.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
94
1.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
154
2.50 IPS |
|
|
Pose Estimation (SP)
|
100% |
451
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
471
0.55 IPS |
|
|
Pose Estimation (Q)
|
84% |
359
0.43 IPS |
|
|
Object Detection (SP)
|
100% |
76
6.00 IPS |
|
|
Object Detection (HP)
|
100% |
73
5.80 IPS |
|
|
Object Detection (Q)
|
83% |
112
9.07 IPS |
|
|
Face Detection (SP)
|
100% |
168
2.00 IPS |
|
|
Face Detection (HP)
|
100% |
165
1.96 IPS |
|
|
Face Detection (Q)
|
95% |
265
3.16 IPS |
|
|
Depth Estimation (SP)
|
100% |
210
1.62 IPS |
|
|
Depth Estimation (HP)
|
99% |
252
1.94 IPS |
|
|
Depth Estimation (Q)
|
64% |
273
2.50 IPS |
|
|
Style Transfer (SP)
|
89% |
859
1.12 IPS |
|
|
Style Transfer (HP)
|
89% |
840
1.09 IPS |
|
|
Style Transfer (Q)
|
98% |
813
1.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
174
6.42 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
114
4.19 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
151
5.59 IPS |
|
|
Text Classification (SP)
|
100% |
46
61.0 IPS |
|
|
Text Classification (HP)
|
100% |
47
62.5 IPS |
|
|
Text Classification (Q)
|
88% |
41
55.9 IPS |
|
|
Machine Translation (SP)
|
100% |
63
1.08 IPS |
|
|
Machine Translation (HP)
|
100% |
60
1.03 IPS |
|
|
Machine Translation (Q)
|
50% |
31
1.08 IPS |
