Xiaomi Redmi Note 13 Pro+
Geekbench AI Score
417
Single Precision Score
1644
Half Precision Score
2604
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | markerichannelly |
| Upload Date | March 03 2026 07:06 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Mediatek Dimensity 7200 Ultra |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Xiaomi Redmi Note 13 Pro+ |
| Model ID | Xiaomi 23090RA98G |
| Motherboard | zircon |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 11.12 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
388
72.2 IPS |
|
|
Image Classification (HP)
|
100% |
1708
317.6 IPS |
|
|
Image Classification (Q)
|
99% |
4532
845.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
335
5.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
1775
28.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1147
18.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2278
2.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
6674
7.79 IPS |
|
|
Pose Estimation (Q)
|
95% |
26927
31.6 IPS |
|
|
Object Detection (SP)
|
100% |
303
24.0 IPS |
|
|
Object Detection (HP)
|
100% |
1583
125.5 IPS |
|
|
Object Detection (Q)
|
86% |
2517
202.5 IPS |
|
|
Face Detection (SP)
|
28% |
79
14.7 IPS |
|
|
Face Detection (HP)
|
100% |
4339
51.6 IPS |
|
|
Face Detection (Q)
|
97% |
7571
90.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
658
5.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
7473
57.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
16159
153.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1201
1.54 IPS |
|
|
Style Transfer (HP)
|
100% |
473
0.61 IPS |
|
|
Style Transfer (Q)
|
30% |
449
6.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
884
32.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4194
154.9 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
3044
443.3 IPS |
|
|
Text Classification (SP)
|
100% |
122
162.3 IPS |
|
|
Text Classification (HP)
|
100% |
216
288.3 IPS |
|
|
Text Classification (Q)
|
93% |
838
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
268
4.61 IPS |
|
|
Machine Translation (HP)
|
100% |
326
5.61 IPS |
|
|
Machine Translation (Q)
|
60% |
291
6.55 IPS |
