Xiaomi 12
Geekbench AI Score
718
Single Precision Score
700
Half Precision Score
1523
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 01:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
384
71.4 IPS |
|
|
Image Classification (HP)
|
100% |
295
54.8 IPS |
|
|
Image Classification (Q)
|
100% |
1044
194.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
389
6.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
385
6.25 IPS |
|
|
Image Segmentation (Q)
|
98% |
1163
18.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1563
1.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
1563
1.82 IPS |
|
|
Pose Estimation (Q)
|
84% |
3292
3.90 IPS |
|
|
Object Detection (SP)
|
100% |
294
23.3 IPS |
|
|
Object Detection (HP)
|
100% |
297
23.5 IPS |
|
|
Object Detection (Q)
|
83% |
1108
89.5 IPS |
|
|
Face Detection (SP)
|
100% |
1057
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
1074
12.8 IPS |
|
|
Face Detection (Q)
|
95% |
2272
27.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1448
11.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1450
11.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
2558
23.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2485
3.23 IPS |
|
|
Style Transfer (HP)
|
89% |
2482
3.22 IPS |
|
|
Style Transfer (Q)
|
98% |
6659
8.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
812
30.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
794
29.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1655
61.3 IPS |
|
|
Text Classification (SP)
|
100% |
313
418.4 IPS |
|
|
Text Classification (HP)
|
100% |
321
428.5 IPS |
|
|
Text Classification (Q)
|
88% |
600
809.9 IPS |
|
|
Machine Translation (SP)
|
100% |
556
9.58 IPS |
|
|
Machine Translation (HP)
|
100% |
549
9.46 IPS |
|
|
Machine Translation (Q)
|
50% |
396
14.0 IPS |
