Xiaomi Redmi Note 10 Pro
Geekbench AI Score
457
Single Precision Score
451
Half Precision Score
847
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 20 2025 11:47 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 732G |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi Redmi Note 10 Pro |
| Model ID | Xiaomi M2101K6P |
| Motherboard | sweetin |
| 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 | 7.39 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
214
39.7 IPS |
|
|
Image Classification (HP)
|
100% |
215
40.0 IPS |
|
|
Image Classification (Q)
|
100% |
672
124.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
262
4.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
261
4.23 IPS |
|
|
Image Segmentation (Q)
|
98% |
698
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1008
1.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
983
1.15 IPS |
|
|
Pose Estimation (Q)
|
84% |
1446
1.72 IPS |
|
|
Object Detection (SP)
|
100% |
202
16.0 IPS |
|
|
Object Detection (HP)
|
100% |
202
16.1 IPS |
|
|
Object Detection (Q)
|
83% |
584
47.2 IPS |
|
|
Face Detection (SP)
|
100% |
643
7.64 IPS |
|
|
Face Detection (HP)
|
100% |
643
7.64 IPS |
|
|
Face Detection (Q)
|
95% |
1320
15.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
712
5.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
757
5.83 IPS |
|
|
Depth Estimation (Q)
|
64% |
1055
9.66 IPS |
|
|
Style Transfer (SP)
|
89% |
1650
2.14 IPS |
|
|
Style Transfer (HP)
|
89% |
1571
2.04 IPS |
|
|
Style Transfer (Q)
|
98% |
3069
3.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
458
16.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
451
16.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
746
27.7 IPS |
|
|
Text Classification (SP)
|
100% |
238
318.1 IPS |
|
|
Text Classification (HP)
|
100% |
243
324.0 IPS |
|
|
Text Classification (Q)
|
88% |
484
652.8 IPS |
|
|
Machine Translation (SP)
|
100% |
424
7.30 IPS |
|
|
Machine Translation (HP)
|
100% |
374
6.45 IPS |
|
|
Machine Translation (Q)
|
50% |
311
11.0 IPS |
