Xiaomi Redmi Note 10 Lite
Geekbench AI Score
214
Single Precision Score
291
Half Precision Score
607
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 06 2025 07:48 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
196
36.4 IPS |
|
|
Image Classification (HP)
|
100% |
283
52.7 IPS |
|
|
Image Classification (Q)
|
97% |
562
104.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
255
4.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
157
2.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
606
9.86 IPS |
|
|
Pose Estimation (SP)
|
100% |
493
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
1150
1.34 IPS |
|
|
Pose Estimation (Q)
|
96% |
3667
4.30 IPS |
|
|
Object Detection (SP)
|
100% |
192
15.2 IPS |
|
|
Object Detection (HP)
|
100% |
115
9.16 IPS |
|
|
Object Detection (Q)
|
85% |
639
51.4 IPS |
|
|
Face Detection (SP)
|
100% |
396
4.70 IPS |
|
|
Face Detection (HP)
|
100% |
285
3.39 IPS |
|
|
Face Detection (Q)
|
97% |
1493
17.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
337
2.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
242
1.86 IPS |
|
|
Depth Estimation (Q)
|
22% |
101
23.1 IPS |
|
|
Style Transfer (SP)
|
100% |
539
0.69 IPS |
|
|
Style Transfer (HP)
|
100% |
398
0.51 IPS |
|
|
Style Transfer (Q)
|
98% |
2512
3.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
301
11.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
608
22.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1913
70.9 IPS |
|
|
Text Classification (SP)
|
71% |
9
13.7 IPS |
|
|
Text Classification (HP)
|
100% |
166
221.2 IPS |
|
|
Text Classification (Q)
|
93% |
75
100.6 IPS |
|
|
Machine Translation (SP)
|
100% |
224
3.85 IPS |
|
|
Machine Translation (HP)
|
100% |
273
4.71 IPS |
|
|
Machine Translation (Q)
|
54% |
157
4.41 IPS |
