Xiaomi 12T Pro
Geekbench AI Score
460
Single Precision Score
472
Half Precision Score
1073
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 22 2025 07:44 AM |
| 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 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 | 10.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
189
35.1 IPS |
|
|
Image Classification (HP)
|
100% |
252
46.9 IPS |
|
|
Image Classification (Q)
|
100% |
775
144.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
259
4.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
255
4.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
727
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1011
1.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
1010
1.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
2166
2.57 IPS |
|
|
Object Detection (SP)
|
100% |
203
16.1 IPS |
|
|
Object Detection (HP)
|
100% |
204
16.2 IPS |
|
|
Object Detection (Q)
|
83% |
773
62.4 IPS |
|
|
Face Detection (SP)
|
100% |
614
7.29 IPS |
|
|
Face Detection (HP)
|
100% |
630
7.48 IPS |
|
|
Face Detection (Q)
|
95% |
1563
18.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
804
6.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
837
6.45 IPS |
|
|
Depth Estimation (Q)
|
64% |
1777
16.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1646
2.14 IPS |
|
|
Style Transfer (HP)
|
89% |
1640
2.13 IPS |
|
|
Style Transfer (Q)
|
98% |
4400
5.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
513
19.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
507
18.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1093
40.5 IPS |
|
|
Text Classification (SP)
|
100% |
243
324.7 IPS |
|
|
Text Classification (HP)
|
100% |
225
300.0 IPS |
|
|
Text Classification (Q)
|
88% |
467
630.4 IPS |
|
|
Machine Translation (SP)
|
100% |
423
7.29 IPS |
|
|
Machine Translation (HP)
|
100% |
422
7.26 IPS |
|
|
Machine Translation (Q)
|
50% |
346
12.3 IPS |
