Xiaomi 2201122G
Geekbench AI Score
1015
Single Precision Score
1001
Half Precision Score
2195
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 07:26 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
506
94.1 IPS |
|
|
Image Classification (HP)
|
100% |
504
93.8 IPS |
|
|
Image Classification (Q)
|
100% |
1883
350.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
679
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
684
11.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2125
34.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2350
2.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
2296
2.68 IPS |
|
|
Pose Estimation (Q)
|
84% |
4697
5.57 IPS |
|
|
Object Detection (SP)
|
100% |
424
33.7 IPS |
|
|
Object Detection (HP)
|
100% |
425
33.7 IPS |
|
|
Object Detection (Q)
|
83% |
1535
124.0 IPS |
|
|
Face Detection (SP)
|
100% |
1471
17.5 IPS |
|
|
Face Detection (HP)
|
100% |
1449
17.2 IPS |
|
|
Face Detection (Q)
|
95% |
3149
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1742
13.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1972
15.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3371
30.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3432
4.45 IPS |
|
|
Style Transfer (HP)
|
89% |
2826
3.67 IPS |
|
|
Style Transfer (Q)
|
98% |
9078
11.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1095
40.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1093
40.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2379
88.2 IPS |
|
|
Text Classification (SP)
|
100% |
468
625.2 IPS |
|
|
Text Classification (HP)
|
100% |
444
592.8 IPS |
|
|
Text Classification (Q)
|
88% |
870
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
754
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
768
13.2 IPS |
|
|
Machine Translation (Q)
|
50% |
453
16.1 IPS |
