Xiaomi 2201122G
Geekbench AI Score
1108
Single Precision Score
1878
Half Precision Score
1656
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 14 2025 11:17 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 2201122G |
| Model ID | Xiaomi 2201122G |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 10.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
836
155.5 IPS |
|
|
Image Classification (HP)
|
100% |
1287
239.3 IPS |
|
|
Image Classification (Q)
|
99% |
1072
199.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1440
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2414
39.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2074
33.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5539
6.46 IPS |
|
|
Pose Estimation (HP)
|
99% |
10183
11.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
9644
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
587
46.5 IPS |
|
|
Object Detection (HP)
|
99% |
949
75.3 IPS |
|
|
Object Detection (Q)
|
85% |
1047
84.3 IPS |
|
|
Face Detection (SP)
|
100% |
2131
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
4090
48.6 IPS |
|
|
Face Detection (Q)
|
97% |
3205
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2704
20.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
4744
36.7 IPS |
|
|
Depth Estimation (Q)
|
65% |
3789
34.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6516
8.38 IPS |
|
|
Style Transfer (HP)
|
100% |
13428
17.3 IPS |
|
|
Style Transfer (Q)
|
98% |
12539
16.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1136
41.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2488
91.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2308
85.5 IPS |
|
|
Text Classification (SP)
|
35% |
38
365.6 IPS |
|
|
Text Classification (HP)
|
35% |
56
511.5 IPS |
|
|
Text Classification (Q)
|
35% |
52
468.8 IPS |
|
|
Machine Translation (SP)
|
100% |
443
7.63 IPS |
|
|
Machine Translation (HP)
|
97% |
503
8.69 IPS |
|
|
Machine Translation (Q)
|
64% |
380
7.81 IPS |
