Xiaomi Redmi 10C
Geekbench AI Score
358
Single Precision Score
356
Half Precision Score
495
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | February 13 2026 09:36 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 680 4G |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi Redmi 10C |
| Model ID | Xiaomi 220333QL |
| Motherboard | wind |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 2.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
167
31.1 IPS |
|
|
Image Classification (HP)
|
100% |
169
31.5 IPS |
|
|
Image Classification (Q)
|
99% |
327
61.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
205
3.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
205
3.32 IPS |
|
|
Image Segmentation (Q)
|
98% |
398
6.47 IPS |
|
|
Pose Estimation (SP)
|
100% |
785
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
785
0.92 IPS |
|
|
Pose Estimation (Q)
|
96% |
710
0.83 IPS |
|
|
Object Detection (SP)
|
100% |
167
13.2 IPS |
|
|
Object Detection (HP)
|
100% |
166
13.1 IPS |
|
|
Object Detection (Q)
|
85% |
322
25.9 IPS |
|
|
Face Detection (SP)
|
100% |
433
5.15 IPS |
|
|
Face Detection (HP)
|
100% |
434
5.15 IPS |
|
|
Face Detection (Q)
|
97% |
728
8.69 IPS |
|
|
Depth Estimation (SP)
|
100% |
631
4.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
607
4.67 IPS |
|
|
Depth Estimation (Q)
|
64% |
713
6.58 IPS |
|
|
Style Transfer (SP)
|
89% |
1369
1.78 IPS |
|
|
Style Transfer (HP)
|
89% |
1372
1.78 IPS |
|
|
Style Transfer (Q)
|
98% |
1683
2.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
332
12.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
333
12.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
417
15.4 IPS |
|
|
Text Classification (SP)
|
100% |
199
265.7 IPS |
|
|
Text Classification (HP)
|
100% |
196
261.7 IPS |
|
|
Text Classification (Q)
|
93% |
312
418.4 IPS |
|
|
Machine Translation (SP)
|
100% |
319
5.49 IPS |
|
|
Machine Translation (HP)
|
100% |
314
5.42 IPS |
|
|
Machine Translation (Q)
|
55% |
264
7.10 IPS |
