Xiaomi Redmi Note 13 Pro+
Geekbench AI Score
737
Single Precision Score
1124
Half Precision Score
870
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | markerichannelly |
| Upload Date | March 03 2026 06:58 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
466
86.6 IPS |
|
|
Image Classification (HP)
|
100% |
621
115.4 IPS |
|
|
Image Classification (Q)
|
97% |
589
110.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
834
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1514
24.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1193
19.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2932
3.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
6309
7.36 IPS |
|
|
Pose Estimation (Q)
|
95% |
6332
7.42 IPS |
|
|
Object Detection (SP)
|
100% |
428
33.9 IPS |
|
|
Object Detection (HP)
|
99% |
706
56.0 IPS |
|
|
Object Detection (Q)
|
83% |
658
53.1 IPS |
|
|
Face Detection (SP)
|
100% |
1597
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
2592
30.8 IPS |
|
|
Face Detection (Q)
|
96% |
2191
26.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2029
15.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
3436
26.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
2674
25.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4644
5.97 IPS |
|
|
Style Transfer (HP)
|
100% |
10858
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
10083
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1036
38.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1556
57.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1518
56.3 IPS |
|
|
Text Classification (SP)
|
35% |
17
157.3 IPS |
|
|
Text Classification (HP)
|
29% |
9
161.1 IPS |
|
|
Text Classification (Q)
|
29% |
9
163.6 IPS |
|
|
Machine Translation (SP)
|
100% |
369
6.36 IPS |
|
|
Machine Translation (HP)
|
100% |
569
9.80 IPS |
|
|
Machine Translation (Q)
|
43% |
106
6.16 IPS |
