Xiaomi 12T Pro
Geekbench AI Score
1221
Single Precision Score
1214
Half Precision Score
2738
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 24 2024 02:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8+ Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 7.04 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
552
102.7 IPS |
|
|
Image Classification (HP)
|
100% |
552
102.6 IPS |
|
|
Image Classification (Q)
|
100% |
1973
366.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
694
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
696
11.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2127
34.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2675
3.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
2678
3.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
5891
6.99 IPS |
|
|
Object Detection (SP)
|
100% |
535
42.4 IPS |
|
|
Object Detection (HP)
|
100% |
536
42.5 IPS |
|
|
Object Detection (Q)
|
83% |
1917
154.8 IPS |
|
|
Face Detection (SP)
|
100% |
1808
21.5 IPS |
|
|
Face Detection (HP)
|
100% |
1784
21.2 IPS |
|
|
Face Detection (Q)
|
95% |
4155
49.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2441
18.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2423
18.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4648
42.6 IPS |
|
|
Style Transfer (SP)
|
89% |
4358
5.66 IPS |
|
|
Style Transfer (HP)
|
89% |
4319
5.61 IPS |
|
|
Style Transfer (Q)
|
98% |
12118
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1350
49.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1342
49.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3019
111.9 IPS |
|
|
Text Classification (SP)
|
100% |
569
760.0 IPS |
|
|
Text Classification (HP)
|
100% |
564
752.9 IPS |
|
|
Text Classification (Q)
|
88% |
1059
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
910
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
896
15.4 IPS |
|
|
Machine Translation (Q)
|
50% |
670
23.8 IPS |
