Xiaomi Redmi Note 10 Pro
Geekbench AI Score
451
Single Precision Score
298
Half Precision Score
764
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 30 2025 02:24 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% |
227
42.2 IPS |
|
|
Image Classification (HP)
|
100% |
72
13.5 IPS |
|
|
Image Classification (Q)
|
100% |
560
104.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
271
4.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
111
1.80 IPS |
|
|
Image Segmentation (Q)
|
98% |
581
9.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
574
0.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
611
0.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
1342
1.59 IPS |
|
|
Object Detection (SP)
|
100% |
209
16.6 IPS |
|
|
Object Detection (HP)
|
100% |
200
15.9 IPS |
|
|
Object Detection (Q)
|
83% |
631
51.0 IPS |
|
|
Face Detection (SP)
|
100% |
680
8.08 IPS |
|
|
Face Detection (HP)
|
100% |
578
6.87 IPS |
|
|
Face Detection (Q)
|
95% |
512
6.11 IPS |
|
|
Depth Estimation (SP)
|
100% |
770
5.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
337
2.60 IPS |
|
|
Depth Estimation (Q)
|
64% |
1508
13.8 IPS |
|
|
Style Transfer (SP)
|
89% |
1675
2.17 IPS |
|
|
Style Transfer (HP)
|
89% |
1244
1.61 IPS |
|
|
Style Transfer (Q)
|
98% |
3739
4.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
453
16.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
228
8.42 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
685
25.4 IPS |
|
|
Text Classification (SP)
|
100% |
274
365.8 IPS |
|
|
Text Classification (HP)
|
100% |
252
335.9 IPS |
|
|
Text Classification (Q)
|
88% |
533
718.8 IPS |
|
|
Machine Translation (SP)
|
100% |
441
7.59 IPS |
|
|
Machine Translation (HP)
|
100% |
416
7.16 IPS |
|
|
Machine Translation (Q)
|
50% |
235
8.36 IPS |
