Xiaomi Redmi Note 13 Pro
Geekbench AI Score
444
Single Precision Score
783
Half Precision Score
722
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | February 12 2026 04:45 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 7s Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi Redmi Note 13 Pro |
| Model ID | Xiaomi 2312DRA50G |
| Motherboard | garnet |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 4 Cores @ 1.96 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 11.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
324
60.2 IPS |
|
|
Image Classification (HP)
|
100% |
532
98.9 IPS |
|
|
Image Classification (Q)
|
99% |
499
93.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
516
8.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
897
14.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
770
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1833
2.14 IPS |
|
|
Pose Estimation (HP)
|
99% |
3481
4.06 IPS |
|
|
Pose Estimation (Q)
|
97% |
3398
3.98 IPS |
|
|
Object Detection (SP)
|
100% |
277
22.0 IPS |
|
|
Object Detection (HP)
|
99% |
446
35.4 IPS |
|
|
Object Detection (Q)
|
85% |
411
33.1 IPS |
|
|
Face Detection (SP)
|
100% |
846
10.0 IPS |
|
|
Face Detection (HP)
|
100% |
1531
18.2 IPS |
|
|
Face Detection (Q)
|
97% |
1324
15.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1045
8.05 IPS |
|
|
Depth Estimation (HP)
|
98% |
2057
15.9 IPS |
|
|
Depth Estimation (Q)
|
65% |
1676
15.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1997
2.57 IPS |
|
|
Style Transfer (HP)
|
100% |
4229
5.44 IPS |
|
|
Style Transfer (Q)
|
98% |
4115
5.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
466
17.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
847
31.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
809
30.0 IPS |
|
|
Text Classification (SP)
|
35% |
17
170.0 IPS |
|
|
Text Classification (HP)
|
35% |
25
231.4 IPS |
|
|
Text Classification (Q)
|
35% |
25
228.2 IPS |
|
|
Machine Translation (SP)
|
100% |
254
4.37 IPS |
|
|
Machine Translation (HP)
|
97% |
418
7.23 IPS |
|
|
Machine Translation (Q)
|
64% |
391
8.03 IPS |
