Xiaomi Redmi Note 13 Pro+
Geekbench AI Score
955
Single Precision Score
1179
Half Precision Score
1866
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | markerichannelly |
| Upload Date | March 03 2026 01:53 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
743
138.2 IPS |
|
|
Image Classification (HP)
|
100% |
627
116.6 IPS |
|
|
Image Classification (Q)
|
99% |
1272
237.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
772
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
738
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1404
22.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1376
1.61 IPS |
|
|
Pose Estimation (HP)
|
92% |
2648
3.11 IPS |
|
|
Pose Estimation (Q)
|
96% |
3533
4.14 IPS |
|
|
Object Detection (SP)
|
98% |
709
56.5 IPS |
|
|
Object Detection (HP)
|
97% |
546
43.5 IPS |
|
|
Object Detection (Q)
|
85% |
1166
94.0 IPS |
|
|
Face Detection (SP)
|
100% |
1365
16.2 IPS |
|
|
Face Detection (HP)
|
100% |
1759
20.9 IPS |
|
|
Face Detection (Q)
|
97% |
2581
30.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1030
7.96 IPS |
|
|
Depth Estimation (HP)
|
98% |
1865
14.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2682
24.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3606
4.68 IPS |
|
|
Style Transfer (HP)
|
88% |
3695
4.80 IPS |
|
|
Style Transfer (Q)
|
98% |
7280
9.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
651
24.0 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1196
44.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1754
65.0 IPS |
|
|
Text Classification (SP)
|
100% |
342
456.0 IPS |
|
|
Text Classification (HP)
|
100% |
620
827.1 IPS |
|
|
Text Classification (Q)
|
93% |
993
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1000
17.2 IPS |
|
|
Machine Translation (HP)
|
96% |
870
15.0 IPS |
|
|
Machine Translation (Q)
|
55% |
794
21.3 IPS |
