Xiaomi 13T Pro
Geekbench AI Score
1884
Single Precision Score
1853
Half Precision Score
2926
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 31 2025 07:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | MediaTek Dimensity 9200+ |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 13T Pro |
| Model ID | Xiaomi 23078PND5G |
| Motherboard | corot |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 3.00 GHz |
| Cluster 3 | 1 Core @ 3.35 GHz |
| Memory Information | |
|---|---|
| Size | 11.08 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1585
294.8 IPS |
|
|
Image Classification (HP)
|
100% |
1621
301.5 IPS |
|
|
Image Classification (Q)
|
100% |
2569
477.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1726
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1712
27.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2691
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2976
3.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
2809
3.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
6987
8.29 IPS |
|
|
Object Detection (SP)
|
98% |
1449
115.3 IPS |
|
|
Object Detection (HP)
|
98% |
1419
113.0 IPS |
|
|
Object Detection (Q)
|
83% |
2084
168.3 IPS |
|
|
Face Detection (SP)
|
100% |
2867
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
2880
34.2 IPS |
|
|
Face Detection (Q)
|
95% |
4623
55.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2813
21.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2753
21.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
4695
43.0 IPS |
|
|
Style Transfer (SP)
|
89% |
6000
7.79 IPS |
|
|
Style Transfer (HP)
|
89% |
5850
7.59 IPS |
|
|
Style Transfer (Q)
|
98% |
11798
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1219
45.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1049
38.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3011
111.6 IPS |
|
|
Text Classification (SP)
|
100% |
614
819.6 IPS |
|
|
Text Classification (HP)
|
99% |
648
864.3 IPS |
|
|
Text Classification (Q)
|
88% |
1033
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1321
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1372
23.6 IPS |
|
|
Machine Translation (Q)
|
50% |
574
20.4 IPS |
