Xiaomi M2102J20SG
Geekbench AI Score
916
Single Precision Score
1608
Half Precision Score
1811
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | EDDY_TG |
| Upload Date | February 21 2026 05:56 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 7.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
469
87.2 IPS |
|
|
Image Classification (HP)
|
100% |
834
155.1 IPS |
|
|
Image Classification (Q)
|
99% |
1277
238.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
540
8.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
1034
16.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1461
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1910
2.23 IPS |
|
|
Pose Estimation (HP)
|
92% |
3878
4.56 IPS |
|
|
Pose Estimation (Q)
|
96% |
2989
3.50 IPS |
|
|
Object Detection (SP)
|
100% |
405
32.1 IPS |
|
|
Object Detection (HP)
|
97% |
802
63.9 IPS |
|
|
Object Detection (Q)
|
85% |
1190
95.9 IPS |
|
|
Face Detection (SP)
|
100% |
1319
15.7 IPS |
|
|
Face Detection (HP)
|
100% |
2292
27.2 IPS |
|
|
Face Detection (Q)
|
97% |
2783
33.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1560
12.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
3076
23.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2774
25.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3301
4.28 IPS |
|
|
Style Transfer (HP)
|
88% |
4515
5.86 IPS |
|
|
Style Transfer (Q)
|
98% |
6573
8.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
891
32.9 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1665
61.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1771
65.6 IPS |
|
|
Text Classification (SP)
|
100% |
462
616.3 IPS |
|
|
Text Classification (HP)
|
100% |
775
1.03 KIPS |
|
|
Text Classification (Q)
|
93% |
910
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
764
13.2 IPS |
|
|
Machine Translation (HP)
|
96% |
1054
18.2 IPS |
|
|
Machine Translation (Q)
|
55% |
700
18.8 IPS |
