Xiaomi Redmi 10X 4G
Geekbench AI Score
222
Single Precision Score
222
Half Precision Score
314
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 17 2025 12:25 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | MediaTek Helio G85 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Xiaomi Redmi 10X 4G |
| Model ID | Xiaomi M2003J15SC |
| Motherboard | merlin |
| CPU Information | |
|---|---|
| Name | ARM MT6769Z |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 2.63 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
100
18.6 IPS |
|
|
Image Classification (HP)
|
100% |
107
19.8 IPS |
|
|
Image Classification (Q)
|
100% |
210
39.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
126
2.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
118
1.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
259
4.22 IPS |
|
|
Pose Estimation (SP)
|
100% |
471
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
471
0.55 IPS |
|
|
Pose Estimation (Q)
|
84% |
413
0.49 IPS |
|
|
Object Detection (SP)
|
100% |
95
7.55 IPS |
|
|
Object Detection (HP)
|
100% |
94
7.43 IPS |
|
|
Object Detection (Q)
|
83% |
204
16.5 IPS |
|
|
Face Detection (SP)
|
100% |
298
3.54 IPS |
|
|
Face Detection (HP)
|
100% |
297
3.53 IPS |
|
|
Face Detection (Q)
|
95% |
562
6.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
393
3.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
390
3.00 IPS |
|
|
Depth Estimation (Q)
|
64% |
455
4.17 IPS |
|
|
Style Transfer (SP)
|
89% |
800
1.04 IPS |
|
|
Style Transfer (HP)
|
89% |
813
1.06 IPS |
|
|
Style Transfer (Q)
|
98% |
1052
1.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
203
7.49 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
203
7.49 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
253
9.39 IPS |
|
|
Text Classification (SP)
|
100% |
124
165.9 IPS |
|
|
Text Classification (HP)
|
100% |
124
165.1 IPS |
|
|
Text Classification (Q)
|
88% |
204
274.9 IPS |
|
|
Machine Translation (SP)
|
100% |
227
3.91 IPS |
|
|
Machine Translation (HP)
|
100% |
225
3.87 IPS |
|
|
Machine Translation (Q)
|
50% |
151
5.38 IPS |
