Xiaomi Redmi Note 13 Pro
Geekbench AI Score
388
Single Precision Score
652
Half Precision Score
725
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Mmbashaikh |
| Upload Date | April 17 2026 07:30 PM |
| Views | 19 |
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% |
275
51.1 IPS |
|
|
Image Classification (HP)
|
100% |
553
102.9 IPS |
|
|
Image Classification (Q)
|
99% |
819
152.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
376
6.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
586
9.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
909
14.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1343
1.57 IPS |
|
|
Pose Estimation (HP)
|
92% |
2656
3.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
1731
2.03 IPS |
|
|
Object Detection (SP)
|
100% |
248
19.7 IPS |
|
|
Object Detection (HP)
|
97% |
290
23.1 IPS |
|
|
Object Detection (Q)
|
85% |
396
31.9 IPS |
|
|
Face Detection (SP)
|
100% |
342
4.06 IPS |
|
|
Face Detection (HP)
|
100% |
659
7.83 IPS |
|
|
Face Detection (Q)
|
97% |
798
9.52 IPS |
|
|
Depth Estimation (SP)
|
100% |
509
3.92 IPS |
|
|
Depth Estimation (HP)
|
98% |
1027
7.94 IPS |
|
|
Depth Estimation (Q)
|
64% |
1006
9.29 IPS |
|
|
Style Transfer (SP)
|
89% |
1157
1.50 IPS |
|
|
Style Transfer (HP)
|
88% |
1586
2.06 IPS |
|
|
Style Transfer (Q)
|
98% |
2534
3.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
278
10.3 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
573
21.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
634
23.5 IPS |
|
|
Text Classification (SP)
|
100% |
154
205.5 IPS |
|
|
Text Classification (HP)
|
100% |
245
326.5 IPS |
|
|
Text Classification (Q)
|
93% |
261
350.1 IPS |
|
|
Machine Translation (SP)
|
100% |
267
4.61 IPS |
|
|
Machine Translation (HP)
|
96% |
372
6.44 IPS |
|
|
Machine Translation (Q)
|
55% |
236
6.35 IPS |
