Xiaomi Redmi Note 10 Lite
Geekbench AI Score
521
Single Precision Score
513
Half Precision Score
979
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 06 2025 07:33 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi Redmi Note 10 Lite |
| Model ID | Xiaomi Redmi Note 10 Lite |
| Motherboard | atoll |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 15 part 2052 revision 15 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.32 GHz |
| Memory Information | |
|---|---|
| Size | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
230
42.7 IPS |
|
|
Image Classification (HP)
|
100% |
232
43.1 IPS |
|
|
Image Classification (Q)
|
100% |
679
126.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
290
4.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
294
4.76 IPS |
|
|
Image Segmentation (Q)
|
98% |
709
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1106
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1102
1.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
1610
1.91 IPS |
|
|
Object Detection (SP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (HP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (Q)
|
83% |
664
53.7 IPS |
|
|
Face Detection (SP)
|
100% |
708
8.41 IPS |
|
|
Face Detection (HP)
|
100% |
735
8.73 IPS |
|
|
Face Detection (Q)
|
95% |
1558
18.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
908
6.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
919
7.08 IPS |
|
|
Depth Estimation (Q)
|
64% |
1534
14.0 IPS |
|
|
Style Transfer (SP)
|
89% |
1851
2.40 IPS |
|
|
Style Transfer (HP)
|
89% |
1843
2.39 IPS |
|
|
Style Transfer (Q)
|
98% |
3763
4.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
508
18.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
430
15.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
945
35.0 IPS |
|
|
Text Classification (SP)
|
100% |
296
395.0 IPS |
|
|
Text Classification (HP)
|
100% |
287
383.7 IPS |
|
|
Text Classification (Q)
|
88% |
532
717.9 IPS |
|
|
Machine Translation (SP)
|
100% |
482
8.30 IPS |
|
|
Machine Translation (HP)
|
100% |
480
8.27 IPS |
|
|
Machine Translation (Q)
|
50% |
351
12.5 IPS |
