Xiaomi 13T Pro
Geekbench AI Score
1092
Single Precision Score
1443
Half Precision Score
1178
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 31 2025 07:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
537
99.8 IPS |
|
|
Image Classification (HP)
|
100% |
647
120.4 IPS |
|
|
Image Classification (Q)
|
97% |
604
112.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1580
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2947
47.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2255
36.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5889
6.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
12680
14.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12316
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
575
45.6 IPS |
|
|
Object Detection (HP)
|
99% |
673
53.3 IPS |
|
|
Object Detection (Q)
|
83% |
729
58.9 IPS |
|
|
Face Detection (SP)
|
100% |
2391
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
3206
38.1 IPS |
|
|
Face Detection (Q)
|
96% |
2992
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3816
29.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
5671
43.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
3835
36.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8212
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
17708
22.8 IPS |
|
|
Style Transfer (Q)
|
98% |
17646
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1458
53.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2340
86.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2614
96.9 IPS |
|
|
Text Classification (SP)
|
35% |
22
196.4 IPS |
|
|
Text Classification (HP)
|
29% |
9
162.1 IPS |
|
|
Text Classification (Q)
|
29% |
10
170.7 IPS |
|
|
Machine Translation (SP)
|
100% |
352
6.06 IPS |
|
|
Machine Translation (HP)
|
100% |
355
6.11 IPS |
|
|
Machine Translation (Q)
|
43% |
80
4.66 IPS |
