Xiaomi Redmi Note 10 Pro
Geekbench AI Score
358
Single Precision Score
350
Half Precision Score
606
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 20 2025 06:11 AM |
| Views | 1 |
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 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% |
203
37.8 IPS |
|
|
Image Classification (HP)
|
100% |
176
32.7 IPS |
|
|
Image Classification (Q)
|
100% |
458
85.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
222
3.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
222
3.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
526
8.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
881
1.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
766
0.89 IPS |
|
|
Pose Estimation (Q)
|
84% |
960
1.14 IPS |
|
|
Object Detection (SP)
|
100% |
146
11.6 IPS |
|
|
Object Detection (HP)
|
100% |
147
11.6 IPS |
|
|
Object Detection (Q)
|
83% |
406
32.8 IPS |
|
|
Face Detection (SP)
|
100% |
518
6.15 IPS |
|
|
Face Detection (HP)
|
100% |
518
6.16 IPS |
|
|
Face Detection (Q)
|
95% |
917
10.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
557
4.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
556
4.29 IPS |
|
|
Depth Estimation (Q)
|
64% |
894
8.18 IPS |
|
|
Style Transfer (SP)
|
89% |
1166
1.51 IPS |
|
|
Style Transfer (HP)
|
89% |
1192
1.55 IPS |
|
|
Style Transfer (Q)
|
98% |
2210
2.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
352
13.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
365
13.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
550
20.4 IPS |
|
|
Text Classification (SP)
|
100% |
159
211.6 IPS |
|
|
Text Classification (HP)
|
100% |
158
211.1 IPS |
|
|
Text Classification (Q)
|
88% |
301
405.8 IPS |
|
|
Machine Translation (SP)
|
100% |
321
5.52 IPS |
|
|
Machine Translation (HP)
|
100% |
321
5.53 IPS |
|
|
Machine Translation (Q)
|
50% |
241
8.55 IPS |
