Xiaomi Redmi Note 10 Pro
Geekbench AI Score
449
Single Precision Score
439
Half Precision Score
819
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 23 2025 02:16 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 732G |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi Redmi Note 10 Pro |
| Model ID | Xiaomi M2101K6G |
| Motherboard | sweet |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.30 GHz |
| Memory Information | |
|---|---|
| Size | 5.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
230
42.9 IPS |
|
|
Image Classification (HP)
|
100% |
226
41.9 IPS |
|
|
Image Classification (Q)
|
100% |
688
128.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
281
4.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
278
4.51 IPS |
|
|
Image Segmentation (Q)
|
98% |
750
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1007
1.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1016
1.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
1446
1.71 IPS |
|
|
Object Detection (SP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (HP)
|
100% |
201
15.9 IPS |
|
|
Object Detection (Q)
|
83% |
570
46.1 IPS |
|
|
Face Detection (SP)
|
100% |
634
7.53 IPS |
|
|
Face Detection (HP)
|
100% |
643
7.63 IPS |
|
|
Face Detection (Q)
|
95% |
1333
15.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
764
5.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
765
5.89 IPS |
|
|
Depth Estimation (Q)
|
64% |
1055
9.66 IPS |
|
|
Style Transfer (SP)
|
89% |
1531
1.99 IPS |
|
|
Style Transfer (HP)
|
89% |
1394
1.81 IPS |
|
|
Style Transfer (Q)
|
98% |
3160
4.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
442
16.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
412
15.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
646
23.9 IPS |
|
|
Text Classification (SP)
|
100% |
187
249.0 IPS |
|
|
Text Classification (HP)
|
100% |
202
269.6 IPS |
|
|
Text Classification (Q)
|
88% |
441
595.5 IPS |
|
|
Machine Translation (SP)
|
100% |
410
7.06 IPS |
|
|
Machine Translation (HP)
|
100% |
371
6.39 IPS |
|
|
Machine Translation (Q)
|
50% |
253
8.97 IPS |
