Xiaomi 13T Pro
Geekbench AI Score
817
Single Precision Score
941
Half Precision Score
923
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Papst |
| Upload Date | January 04 2025 03:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
324
60.2 IPS |
|
|
Image Classification (HP)
|
100% |
321
59.6 IPS |
|
|
Image Classification (Q)
|
99% |
324
60.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1062
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1231
20.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1106
18.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
701
0.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
1017
1.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
1001
1.17 IPS |
|
|
Object Detection (SP)
|
100% |
380
30.1 IPS |
|
|
Object Detection (HP)
|
100% |
470
37.3 IPS |
|
|
Object Detection (Q)
|
83% |
498
40.3 IPS |
|
|
Face Detection (SP)
|
100% |
1887
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
2014
23.9 IPS |
|
|
Face Detection (Q)
|
97% |
1977
23.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1251
9.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
1485
11.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
1193
11.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3439
4.42 IPS |
|
|
Style Transfer (HP)
|
100% |
4605
5.92 IPS |
|
|
Style Transfer (Q)
|
98% |
4577
5.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
614
22.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
729
26.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
736
27.3 IPS |
|
|
Text Classification (SP)
|
100% |
453
604.4 IPS |
|
|
Text Classification (HP)
|
100% |
450
601.0 IPS |
|
|
Text Classification (Q)
|
91% |
692
930.2 IPS |
|
|
Machine Translation (SP)
|
100% |
642
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
639
11.0 IPS |
|
|
Machine Translation (Q)
|
57% |
460
11.2 IPS |
