Xiaomi M2102J20SG
Geekbench AI Score
805
Single Precision Score
1208
Half Precision Score
1127
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 31 2025 01:01 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi M2102J20SG |
| Model ID | Xiaomi M2102J20SG |
| Motherboard | msmnile |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.96 GHz |
| Memory Information | |
|---|---|
| Size | 7.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
602
111.9 IPS |
|
|
Image Classification (HP)
|
100% |
939
174.5 IPS |
|
|
Image Classification (Q)
|
99% |
792
147.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
833
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1230
19.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1353
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3570
4.17 IPS |
|
|
Pose Estimation (HP)
|
99% |
5994
6.99 IPS |
|
|
Pose Estimation (Q)
|
97% |
5815
6.81 IPS |
|
|
Object Detection (SP)
|
100% |
454
36.0 IPS |
|
|
Object Detection (HP)
|
99% |
705
55.9 IPS |
|
|
Object Detection (Q)
|
85% |
687
55.3 IPS |
|
|
Face Detection (SP)
|
100% |
1619
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
2543
30.2 IPS |
|
|
Face Detection (Q)
|
97% |
2222
26.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1819
14.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
2661
20.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
2240
20.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4211
5.41 IPS |
|
|
Style Transfer (HP)
|
100% |
7937
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
7751
10.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
880
32.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1284
47.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1289
47.8 IPS |
|
|
Text Classification (SP)
|
35% |
32
311.0 IPS |
|
|
Text Classification (HP)
|
35% |
50
451.9 IPS |
|
|
Text Classification (Q)
|
35% |
50
456.7 IPS |
|
|
Machine Translation (SP)
|
100% |
403
6.94 IPS |
|
|
Machine Translation (HP)
|
97% |
394
6.81 IPS |
|
|
Machine Translation (Q)
|
64% |
311
6.38 IPS |
