Xiaomi 13T Pro
Geekbench AI Score
1569
Single Precision Score
1585
Half Precision Score
2589
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Slich2 |
| Upload Date | January 04 2025 05:47 PM |
| Views | 5 |
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% |
1247
231.9 IPS |
|
|
Image Classification (HP)
|
100% |
1339
249.1 IPS |
|
|
Image Classification (Q)
|
100% |
2018
375.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1358
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1255
20.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1899
30.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2288
2.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
2334
2.72 IPS |
|
|
Pose Estimation (Q)
|
84% |
5767
6.84 IPS |
|
|
Object Detection (SP)
|
98% |
1143
91.0 IPS |
|
|
Object Detection (HP)
|
98% |
1140
90.7 IPS |
|
|
Object Detection (Q)
|
83% |
1719
138.9 IPS |
|
|
Face Detection (SP)
|
100% |
2360
28.0 IPS |
|
|
Face Detection (HP)
|
100% |
2359
28.0 IPS |
|
|
Face Detection (Q)
|
95% |
4033
48.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2230
17.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2281
17.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4191
38.4 IPS |
|
|
Style Transfer (SP)
|
89% |
5386
6.99 IPS |
|
|
Style Transfer (HP)
|
89% |
5623
7.30 IPS |
|
|
Style Transfer (Q)
|
98% |
11496
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1137
42.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1047
38.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2956
109.5 IPS |
|
|
Text Classification (SP)
|
100% |
511
682.4 IPS |
|
|
Text Classification (HP)
|
99% |
508
678.7 IPS |
|
|
Text Classification (Q)
|
88% |
988
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1244
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1391
24.0 IPS |
|
|
Machine Translation (Q)
|
50% |
630
22.4 IPS |
