Xiaomi 13T Pro
Geekbench AI Score
1552
Single Precision Score
1702
Half Precision Score
2819
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 04 2024 04:10 AM |
| Views | 2 |
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% |
1228
228.3 IPS |
|
|
Image Classification (HP)
|
100% |
1659
308.6 IPS |
|
|
Image Classification (Q)
|
100% |
2630
489.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1581
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1618
26.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2725
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2813
3.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2607
3.04 IPS |
|
|
Pose Estimation (Q)
|
84% |
6420
7.61 IPS |
|
|
Object Detection (SP)
|
98% |
1338
106.5 IPS |
|
|
Object Detection (HP)
|
98% |
1322
105.2 IPS |
|
|
Object Detection (Q)
|
83% |
2097
169.4 IPS |
|
|
Face Detection (SP)
|
100% |
2611
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
2693
32.0 IPS |
|
|
Face Detection (Q)
|
95% |
4306
51.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2267
17.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2220
17.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
4375
40.1 IPS |
|
|
Style Transfer (SP)
|
89% |
5528
7.18 IPS |
|
|
Style Transfer (HP)
|
89% |
4455
5.78 IPS |
|
|
Style Transfer (Q)
|
98% |
11683
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1134
41.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1104
40.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2225
82.5 IPS |
|
|
Text Classification (SP)
|
100% |
218
291.5 IPS |
|
|
Text Classification (HP)
|
99% |
496
661.6 IPS |
|
|
Text Classification (Q)
|
88% |
1105
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1378
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1512
26.1 IPS |
|
|
Machine Translation (Q)
|
50% |
609
21.6 IPS |
