Xiaomi 12T Pro
Geekbench AI Score
1289
Single Precision Score
1271
Half Precision Score
2993
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 12:44 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8+ Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 12T Pro |
| Model ID | Xiaomi 22081212UG |
| Motherboard | diting |
| 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 | 2.02 GHz |
| Cluster 1 | 4 Cores @ 2.02 GHz |
| Cluster 2 | 3 Cores @ 2.75 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 7.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
622
115.7 IPS |
|
|
Image Classification (HP)
|
100% |
652
121.3 IPS |
|
|
Image Classification (Q)
|
100% |
2448
455.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
795
12.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
796
12.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2662
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2597
3.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
2547
2.97 IPS |
|
|
Pose Estimation (Q)
|
84% |
5904
7.00 IPS |
|
|
Object Detection (SP)
|
100% |
560
44.4 IPS |
|
|
Object Detection (HP)
|
100% |
573
45.4 IPS |
|
|
Object Detection (Q)
|
83% |
2244
181.3 IPS |
|
|
Face Detection (SP)
|
100% |
1882
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
1908
22.7 IPS |
|
|
Face Detection (Q)
|
95% |
4825
57.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2459
18.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2334
18.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4752
43.5 IPS |
|
|
Style Transfer (SP)
|
89% |
4327
5.62 IPS |
|
|
Style Transfer (HP)
|
89% |
4287
5.56 IPS |
|
|
Style Transfer (Q)
|
98% |
12753
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1450
53.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1370
50.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3314
122.8 IPS |
|
|
Text Classification (SP)
|
100% |
650
868.1 IPS |
|
|
Text Classification (HP)
|
100% |
650
867.9 IPS |
|
|
Text Classification (Q)
|
88% |
1085
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
934
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
856
14.7 IPS |
|
|
Machine Translation (Q)
|
50% |
637
22.6 IPS |
