Xiaomi Redmi Note 10 Pro
Geekbench AI Score
511
Single Precision Score
508
Half Precision Score
1021
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 06 2025 04:12 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% |
236
43.9 IPS |
|
|
Image Classification (HP)
|
100% |
231
43.0 IPS |
|
|
Image Classification (Q)
|
100% |
700
130.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
288
4.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
290
4.70 IPS |
|
|
Image Segmentation (Q)
|
98% |
759
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1094
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1073
1.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
1700
2.02 IPS |
|
|
Object Detection (SP)
|
100% |
219
17.4 IPS |
|
|
Object Detection (HP)
|
100% |
219
17.4 IPS |
|
|
Object Detection (Q)
|
83% |
698
56.4 IPS |
|
|
Face Detection (SP)
|
100% |
701
8.33 IPS |
|
|
Face Detection (HP)
|
100% |
702
8.34 IPS |
|
|
Face Detection (Q)
|
95% |
1585
18.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
891
6.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
872
6.72 IPS |
|
|
Depth Estimation (Q)
|
64% |
1583
14.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1791
2.33 IPS |
|
|
Style Transfer (HP)
|
89% |
1804
2.34 IPS |
|
|
Style Transfer (Q)
|
98% |
3881
5.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
492
18.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
498
18.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
973
36.1 IPS |
|
|
Text Classification (SP)
|
100% |
291
388.8 IPS |
|
|
Text Classification (HP)
|
100% |
288
384.3 IPS |
|
|
Text Classification (Q)
|
88% |
586
789.8 IPS |
|
|
Machine Translation (SP)
|
100% |
468
8.06 IPS |
|
|
Machine Translation (HP)
|
100% |
463
7.98 IPS |
|
|
Machine Translation (Q)
|
50% |
353
12.5 IPS |
