Xiaomi Redmi Note 10 Pro
Geekbench AI Score
487
Single Precision Score
486
Half Precision Score
998
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 09:06 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 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% |
231
42.9 IPS |
|
|
Image Classification (HP)
|
100% |
232
43.1 IPS |
|
|
Image Classification (Q)
|
100% |
699
130.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
274
4.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
274
4.44 IPS |
|
|
Image Segmentation (Q)
|
98% |
754
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1017
1.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
1023
1.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
1610
1.91 IPS |
|
|
Object Detection (SP)
|
100% |
210
16.7 IPS |
|
|
Object Detection (HP)
|
100% |
213
16.9 IPS |
|
|
Object Detection (Q)
|
83% |
687
55.5 IPS |
|
|
Face Detection (SP)
|
100% |
669
7.94 IPS |
|
|
Face Detection (HP)
|
100% |
676
8.04 IPS |
|
|
Face Detection (Q)
|
95% |
1542
18.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
802
6.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
745
5.74 IPS |
|
|
Depth Estimation (Q)
|
64% |
1531
14.0 IPS |
|
|
Style Transfer (SP)
|
89% |
1697
2.20 IPS |
|
|
Style Transfer (HP)
|
89% |
1732
2.25 IPS |
|
|
Style Transfer (Q)
|
98% |
3711
4.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
471
17.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
478
17.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
958
35.5 IPS |
|
|
Text Classification (SP)
|
100% |
286
381.8 IPS |
|
|
Text Classification (HP)
|
100% |
287
382.5 IPS |
|
|
Text Classification (Q)
|
88% |
581
783.1 IPS |
|
|
Machine Translation (SP)
|
100% |
458
7.89 IPS |
|
|
Machine Translation (HP)
|
100% |
448
7.72 IPS |
|
|
Machine Translation (Q)
|
50% |
346
12.3 IPS |
