Xiaomi M2102K1AC
Geekbench AI Score
280
Single Precision Score
342
Half Precision Score
49
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | August 23 2024 08:59 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM Mars |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi M2102K1AC |
| Model ID | Xiaomi M2102K1AC |
| Motherboard | mars |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Mars |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 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 @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
428
79.6 IPS |
|
|
Image Classification (HP)
|
100% |
750
139.4 IPS |
|
|
Image Classification (Q)
|
94% |
17
3.22 IPS |
|
|
Image Segmentation (SP)
|
100% |
656
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
842
13.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
84
1.36 IPS |
|
|
Pose Estimation (SP)
|
100% |
1485
1.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
5420
6.32 IPS |
|
|
Pose Estimation (Q)
|
98% |
251
0.29 IPS |
|
|
Object Detection (SP)
|
100% |
438
34.8 IPS |
|
|
Object Detection (HP)
|
99% |
744
59.0 IPS |
|
|
Object Detection (Q)
|
2% |
8
200.7 IPS |
|
|
Face Detection (SP)
|
100% |
1258
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
78
0.93 IPS |
|
|
Face Detection (Q)
|
97% |
213
2.54 IPS |
|
|
Depth Estimation (SP)
|
100% |
166
1.28 IPS |
|
|
Depth Estimation (HP)
|
100% |
73
0.57 IPS |
|
|
Depth Estimation (Q)
|
4% |
30
55.8 IPS |
|
|
Style Transfer (SP)
|
100% |
648
0.83 IPS |
|
|
Style Transfer (HP)
|
100% |
134
0.17 IPS |
|
|
Style Transfer (Q)
|
18% |
9
0.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
768
28.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2587
95.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
257
9.52 IPS |
|
|
Text Classification (SP)
|
100% |
2
2.22 IPS |
|
|
Text Classification (HP)
|
100% |
52
69.6 IPS |
|
|
Text Classification (Q)
|
93% |
26
35.3 IPS |
|
|
Machine Translation (SP)
|
100% |
80
1.37 IPS |
|
|
Machine Translation (HP)
|
100% |
85
1.46 IPS |
|
|
Machine Translation (Q)
|
57% |
76
1.85 IPS |
