Xiaomi M2102J20SG
Geekbench AI Score
834
Single Precision Score
1222
Half Precision Score
1138
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 02 2025 03:41 AM |
| 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 | 7.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
574
106.8 IPS |
|
|
Image Classification (HP)
|
100% |
831
154.6 IPS |
|
|
Image Classification (Q)
|
99% |
767
143.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
961
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1447
23.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1317
21.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3643
4.25 IPS |
|
|
Pose Estimation (HP)
|
99% |
6041
7.05 IPS |
|
|
Pose Estimation (Q)
|
97% |
5870
6.87 IPS |
|
|
Object Detection (SP)
|
100% |
498
39.5 IPS |
|
|
Object Detection (HP)
|
99% |
701
55.6 IPS |
|
|
Object Detection (Q)
|
85% |
700
56.4 IPS |
|
|
Face Detection (SP)
|
100% |
1611
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
2628
31.2 IPS |
|
|
Face Detection (Q)
|
97% |
2229
26.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1852
14.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
2736
21.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2263
20.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4549
5.85 IPS |
|
|
Style Transfer (HP)
|
100% |
8074
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
8183
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
909
33.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1294
47.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1349
50.0 IPS |
|
|
Text Classification (SP)
|
35% |
31
300.7 IPS |
|
|
Text Classification (HP)
|
35% |
49
448.8 IPS |
|
|
Text Classification (Q)
|
35% |
48
435.8 IPS |
|
|
Machine Translation (SP)
|
100% |
427
7.35 IPS |
|
|
Machine Translation (HP)
|
97% |
398
6.89 IPS |
|
|
Machine Translation (Q)
|
64% |
330
6.79 IPS |
