Xiaomi 13T Pro
Geekbench AI Score
501
Single Precision Score
2205
Half Precision Score
3138
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 27 2024 12:38 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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 | 11.08 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
716
133.2 IPS |
|
|
Image Classification (HP)
|
100% |
2613
486.0 IPS |
|
|
Image Classification (Q)
|
99% |
6578
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
392
6.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
2535
41.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1256
20.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2912
3.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
8227
9.60 IPS |
|
|
Pose Estimation (Q)
|
95% |
32958
38.6 IPS |
|
|
Object Detection (SP)
|
100% |
463
36.7 IPS |
|
|
Object Detection (HP)
|
100% |
2282
181.0 IPS |
|
|
Object Detection (Q)
|
86% |
3557
286.1 IPS |
|
|
Face Detection (SP)
|
28% |
99
18.4 IPS |
|
|
Face Detection (HP)
|
100% |
6903
82.0 IPS |
|
|
Face Detection (Q)
|
97% |
10103
120.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
813
6.26 IPS |
|
|
Depth Estimation (HP)
|
99% |
9929
76.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
23031
218.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1922
2.47 IPS |
|
|
Style Transfer (HP)
|
100% |
617
0.79 IPS |
|
|
Style Transfer (Q)
|
30% |
357
5.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1151
42.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5271
194.7 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
4233
616.5 IPS |
|
|
Text Classification (SP)
|
100% |
61
81.9 IPS |
|
|
Text Classification (HP)
|
100% |
251
334.5 IPS |
|
|
Text Classification (Q)
|
93% |
918
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
246
4.24 IPS |
|
|
Machine Translation (HP)
|
100% |
392
6.75 IPS |
|
|
Machine Translation (Q)
|
60% |
297
6.70 IPS |
