Xiaomi Redmi Note 10 Pro Xiaomi M2101K6G
Geekbench AI Score
506
Single Precision Score
506
Half Precision Score
986
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | almaspite |
| Upload Date | January 05 2026 12:13 AM |
| Views | 16 |
| Notes | Qualcomm Snapdragon 732G |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Xiaomi M2101K6G |
| Model ID | Xiaomi M2101K6G |
| Motherboard | sm6150 |
| 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 | 5.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
240
44.7 IPS |
|
|
Image Classification (HP)
|
100% |
237
44.0 IPS |
|
|
Image Classification (Q)
|
100% |
692
128.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
291
4.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
292
4.73 IPS |
|
|
Image Segmentation (Q)
|
98% |
758
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1080
1.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1063
1.24 IPS |
|
|
Pose Estimation (Q)
|
84% |
1687
2.00 IPS |
|
|
Object Detection (SP)
|
100% |
218
17.3 IPS |
|
|
Object Detection (HP)
|
100% |
220
17.5 IPS |
|
|
Object Detection (Q)
|
83% |
689
55.7 IPS |
|
|
Face Detection (SP)
|
100% |
706
8.39 IPS |
|
|
Face Detection (HP)
|
100% |
706
8.39 IPS |
|
|
Face Detection (Q)
|
95% |
1576
18.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
901
6.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
892
6.87 IPS |
|
|
Depth Estimation (Q)
|
64% |
1513
13.9 IPS |
|
|
Style Transfer (SP)
|
89% |
1757
2.28 IPS |
|
|
Style Transfer (HP)
|
89% |
1756
2.28 IPS |
|
|
Style Transfer (Q)
|
98% |
3862
4.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
469
17.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
497
18.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
924
34.2 IPS |
|
|
Text Classification (SP)
|
100% |
275
367.4 IPS |
|
|
Text Classification (HP)
|
100% |
281
375.6 IPS |
|
|
Text Classification (Q)
|
88% |
556
749.7 IPS |
|
|
Machine Translation (SP)
|
100% |
468
8.06 IPS |
|
|
Machine Translation (HP)
|
100% |
447
7.70 IPS |
|
|
Machine Translation (Q)
|
50% |
303
10.8 IPS |
