Xiaomi 13T Pro
Geekbench AI Score
1552
Single Precision Score
1572
Half Precision Score
2466
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 12 2025 04:21 PM |
| Views | 4 |
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 | 15.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1254
233.1 IPS |
|
|
Image Classification (HP)
|
100% |
1262
234.7 IPS |
|
|
Image Classification (Q)
|
100% |
2009
373.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1383
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1373
22.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1720
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2309
2.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
2080
2.43 IPS |
|
|
Pose Estimation (Q)
|
84% |
5566
6.60 IPS |
|
|
Object Detection (SP)
|
98% |
802
63.8 IPS |
|
|
Object Detection (HP)
|
98% |
1178
93.7 IPS |
|
|
Object Detection (Q)
|
83% |
1751
141.4 IPS |
|
|
Face Detection (SP)
|
100% |
2361
28.1 IPS |
|
|
Face Detection (HP)
|
100% |
2365
28.1 IPS |
|
|
Face Detection (Q)
|
95% |
3198
38.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2387
18.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2279
17.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4322
39.6 IPS |
|
|
Style Transfer (SP)
|
89% |
5166
6.71 IPS |
|
|
Style Transfer (HP)
|
89% |
5447
7.07 IPS |
|
|
Style Transfer (Q)
|
98% |
11396
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1124
41.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1138
42.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2828
104.8 IPS |
|
|
Text Classification (SP)
|
100% |
614
819.8 IPS |
|
|
Text Classification (HP)
|
99% |
513
684.7 IPS |
|
|
Text Classification (Q)
|
88% |
992
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1259
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1267
21.8 IPS |
|
|
Machine Translation (Q)
|
50% |
560
19.9 IPS |
