Xiaomi 13T Pro
Geekbench AI Score
1626
Single Precision Score
1641
Half Precision Score
2685
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 09:42 AM |
| Views | 1 |
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% |
1285
239.0 IPS |
|
|
Image Classification (HP)
|
100% |
1207
224.5 IPS |
|
|
Image Classification (Q)
|
100% |
2009
373.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1347
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1290
20.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2096
34.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2284
2.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
2306
2.69 IPS |
|
|
Pose Estimation (Q)
|
84% |
5679
6.74 IPS |
|
|
Object Detection (SP)
|
98% |
1207
96.1 IPS |
|
|
Object Detection (HP)
|
98% |
1312
104.4 IPS |
|
|
Object Detection (Q)
|
83% |
1852
149.6 IPS |
|
|
Face Detection (SP)
|
100% |
2588
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
2533
30.1 IPS |
|
|
Face Detection (Q)
|
95% |
4134
49.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2272
17.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2389
18.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4415
40.4 IPS |
|
|
Style Transfer (SP)
|
89% |
5968
7.75 IPS |
|
|
Style Transfer (HP)
|
89% |
5475
7.11 IPS |
|
|
Style Transfer (Q)
|
98% |
11391
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1162
42.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1159
42.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3037
112.5 IPS |
|
|
Text Classification (SP)
|
100% |
480
641.1 IPS |
|
|
Text Classification (HP)
|
99% |
559
745.7 IPS |
|
|
Text Classification (Q)
|
88% |
1097
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1385
23.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1405
24.2 IPS |
|
|
Machine Translation (Q)
|
50% |
635
22.5 IPS |
