Xiaomi Redmi Note 13 Pro
Geekbench AI Score
327
Single Precision Score
590
Half Precision Score
672
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Mmbashaikh |
| Upload Date | April 18 2026 04:42 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
371
69.0 IPS |
|
|
Image Classification (HP)
|
100% |
713
132.6 IPS |
|
|
Image Classification (Q)
|
99% |
1038
193.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
174
2.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
324
5.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
467
7.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
631
0.74 IPS |
|
|
Pose Estimation (HP)
|
92% |
1352
1.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
1233
1.44 IPS |
|
|
Object Detection (SP)
|
100% |
141
11.2 IPS |
|
|
Object Detection (HP)
|
97% |
292
23.2 IPS |
|
|
Object Detection (Q)
|
85% |
406
32.7 IPS |
|
|
Face Detection (SP)
|
100% |
350
4.16 IPS |
|
|
Face Detection (HP)
|
100% |
670
7.96 IPS |
|
|
Face Detection (Q)
|
97% |
821
9.79 IPS |
|
|
Depth Estimation (SP)
|
100% |
519
4.00 IPS |
|
|
Depth Estimation (HP)
|
98% |
1030
7.96 IPS |
|
|
Depth Estimation (Q)
|
64% |
1012
9.34 IPS |
|
|
Style Transfer (SP)
|
89% |
1178
1.53 IPS |
|
|
Style Transfer (HP)
|
88% |
1586
2.06 IPS |
|
|
Style Transfer (Q)
|
98% |
2560
3.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
281
10.4 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
585
21.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
644
23.9 IPS |
|
|
Text Classification (SP)
|
100% |
155
207.5 IPS |
|
|
Text Classification (HP)
|
100% |
237
316.0 IPS |
|
|
Text Classification (Q)
|
93% |
235
316.1 IPS |
|
|
Machine Translation (SP)
|
100% |
268
4.61 IPS |
|
|
Machine Translation (HP)
|
96% |
374
6.47 IPS |
|
|
Machine Translation (Q)
|
55% |
242
6.51 IPS |
