Xiaomi 13T Pro
Geekbench AI Score
518
Single Precision Score
2305
Half Precision Score
3226
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 09:35 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
715
133.0 IPS |
|
|
Image Classification (HP)
|
100% |
2551
474.4 IPS |
|
|
Image Classification (Q)
|
99% |
6327
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
390
6.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
2471
40.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1256
20.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2890
3.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
8225
9.60 IPS |
|
|
Pose Estimation (Q)
|
95% |
32974
38.6 IPS |
|
|
Object Detection (SP)
|
100% |
478
38.0 IPS |
|
|
Object Detection (HP)
|
100% |
2286
181.3 IPS |
|
|
Object Detection (Q)
|
86% |
3559
286.3 IPS |
|
|
Face Detection (SP)
|
28% |
99
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
6978
82.9 IPS |
|
|
Face Detection (Q)
|
97% |
10203
121.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
848
6.54 IPS |
|
|
Depth Estimation (HP)
|
99% |
9946
76.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
23212
220.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2033
2.61 IPS |
|
|
Style Transfer (HP)
|
100% |
676
0.87 IPS |
|
|
Style Transfer (Q)
|
30% |
408
6.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1163
43.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5342
197.3 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
4327
630.2 IPS |
|
|
Text Classification (SP)
|
100% |
66
87.6 IPS |
|
|
Text Classification (HP)
|
100% |
317
423.3 IPS |
|
|
Text Classification (Q)
|
93% |
951
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
279
4.80 IPS |
|
|
Machine Translation (HP)
|
100% |
451
7.78 IPS |
|
|
Machine Translation (Q)
|
60% |
330
7.44 IPS |
