Xiaomi 12
Geekbench AI Score
211
Single Precision Score
11427
Half Precision Score
29994
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 30 2026 11:17 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 12 |
| Model ID | Xiaomi 2201123G |
| 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 | 7.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
123
22.9 IPS |
|
|
Image Classification (HP)
|
100% |
7887
1.47 KIPS |
|
|
Image Classification (Q)
|
99% |
20973
3.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
160
2.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
6175
100.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
22292
362.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
220
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
36148
42.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
221446
259.6 IPS |
|
|
Object Detection (SP)
|
100% |
123
9.72 IPS |
|
|
Object Detection (HP)
|
100% |
7697
610.5 IPS |
|
|
Object Detection (Q)
|
87% |
13939
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
322
3.82 IPS |
|
|
Face Detection (HP)
|
100% |
16718
198.6 IPS |
|
|
Face Detection (Q)
|
97% |
59370
707.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
280
2.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
27033
208.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
70319
646.2 IPS |
|
|
Style Transfer (SP)
|
100% |
493
0.63 IPS |
|
|
Style Transfer (HP)
|
100% |
36712
47.2 IPS |
|
|
Style Transfer (Q)
|
98% |
207199
267.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
139
5.14 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21061
777.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
54399
2.02 KIPS |
|
|
Text Classification (SP)
|
100% |
178
237.9 IPS |
|
|
Text Classification (HP)
|
100% |
2471
3.30 KIPS |
|
|
Text Classification (Q)
|
94% |
5586
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
300
5.17 IPS |
|
|
Machine Translation (HP)
|
100% |
3245
55.9 IPS |
|
|
Machine Translation (Q)
|
52% |
1554
46.7 IPS |
