Xiaomi A402XM
Geekbench AI Score
1420
Single Precision Score
1521
Half Precision Score
2045
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | February 13 2026 09:56 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi A402XM |
| Model ID | Xiaomi A402XM |
| Motherboard | rothko |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 10.93 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
976
181.6 IPS |
|
|
Image Classification (HP)
|
100% |
719
133.7 IPS |
|
|
Image Classification (Q)
|
99% |
1409
262.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1181
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
919
14.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1540
25.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2005
2.34 IPS |
|
|
Pose Estimation (HP)
|
92% |
3681
4.32 IPS |
|
|
Pose Estimation (Q)
|
96% |
3823
4.48 IPS |
|
|
Object Detection (SP)
|
98% |
952
75.8 IPS |
|
|
Object Detection (HP)
|
97% |
674
53.6 IPS |
|
|
Object Detection (Q)
|
85% |
1310
105.5 IPS |
|
|
Face Detection (SP)
|
100% |
2144
25.5 IPS |
|
|
Face Detection (HP)
|
100% |
2394
28.4 IPS |
|
|
Face Detection (Q)
|
97% |
3123
37.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2355
18.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
3210
24.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3278
30.1 IPS |
|
|
Style Transfer (SP)
|
89% |
4742
6.16 IPS |
|
|
Style Transfer (HP)
|
88% |
4426
5.75 IPS |
|
|
Style Transfer (Q)
|
98% |
8535
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1099
40.6 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1800
66.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2118
78.5 IPS |
|
|
Text Classification (SP)
|
100% |
471
629.1 IPS |
|
|
Text Classification (HP)
|
100% |
666
889.2 IPS |
|
|
Text Classification (Q)
|
93% |
834
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1231
21.2 IPS |
|
|
Machine Translation (HP)
|
96% |
997
17.2 IPS |
|
|
Machine Translation (Q)
|
55% |
763
20.5 IPS |
