Xiaomi 13T Pro
Geekbench AI Score
748
Single Precision Score
867
Half Precision Score
829
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Slich2 |
| Upload Date | January 04 2025 05:55 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 15.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
316
58.8 IPS |
|
|
Image Classification (HP)
|
100% |
316
58.7 IPS |
|
|
Image Classification (Q)
|
99% |
295
55.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1135
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1067
17.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1219
19.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
699
0.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
1014
1.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
1000
1.17 IPS |
|
|
Object Detection (SP)
|
100% |
350
27.8 IPS |
|
|
Object Detection (HP)
|
100% |
434
34.4 IPS |
|
|
Object Detection (Q)
|
83% |
523
42.3 IPS |
|
|
Face Detection (SP)
|
100% |
1922
22.8 IPS |
|
|
Face Detection (HP)
|
100% |
2076
24.7 IPS |
|
|
Face Detection (Q)
|
97% |
1682
20.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1213
9.35 IPS |
|
|
Depth Estimation (HP)
|
99% |
1513
11.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
1163
11.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3360
4.32 IPS |
|
|
Style Transfer (HP)
|
100% |
4607
5.92 IPS |
|
|
Style Transfer (Q)
|
98% |
4597
5.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
591
21.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
844
31.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
701
26.0 IPS |
|
|
Text Classification (SP)
|
100% |
307
409.6 IPS |
|
|
Text Classification (HP)
|
100% |
301
402.0 IPS |
|
|
Text Classification (Q)
|
91% |
455
611.4 IPS |
|
|
Machine Translation (SP)
|
100% |
445
7.67 IPS |
|
|
Machine Translation (HP)
|
100% |
441
7.59 IPS |
|
|
Machine Translation (Q)
|
57% |
285
6.96 IPS |
