Xiaomi 13T Pro
Geekbench AI Score
1470
Single Precision Score
1467
Half Precision Score
2628
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 12:06 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | MediaTek Dimensity 9200+ |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
1194
222.0 IPS |
|
|
Image Classification (HP)
|
100% |
1192
221.7 IPS |
|
|
Image Classification (Q)
|
100% |
2035
378.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1298
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1351
21.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2156
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2363
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
2260
2.64 IPS |
|
|
Pose Estimation (Q)
|
84% |
5543
6.57 IPS |
|
|
Object Detection (SP)
|
98% |
1256
100.0 IPS |
|
|
Object Detection (HP)
|
98% |
1166
92.7 IPS |
|
|
Object Detection (Q)
|
83% |
1725
139.4 IPS |
|
|
Face Detection (SP)
|
100% |
2374
28.2 IPS |
|
|
Face Detection (HP)
|
100% |
2326
27.6 IPS |
|
|
Face Detection (Q)
|
95% |
3951
47.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2269
17.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2366
18.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
4305
39.4 IPS |
|
|
Style Transfer (SP)
|
89% |
5531
7.18 IPS |
|
|
Style Transfer (HP)
|
89% |
5348
6.94 IPS |
|
|
Style Transfer (Q)
|
98% |
11060
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1164
43.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1127
41.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2914
108.0 IPS |
|
|
Text Classification (SP)
|
100% |
221
294.7 IPS |
|
|
Text Classification (HP)
|
99% |
246
327.9 IPS |
|
|
Text Classification (Q)
|
88% |
1155
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1342
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1339
23.1 IPS |
|
|
Machine Translation (Q)
|
50% |
592
21.0 IPS |
