Xiaomi A402XM
Geekbench AI Score
2179
Single Precision Score
2390
Half Precision Score
3205
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | February 13 2026 10:37 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% |
1528
284.2 IPS |
|
|
Image Classification (HP)
|
100% |
1165
216.7 IPS |
|
|
Image Classification (Q)
|
99% |
2210
412.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1824
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1437
23.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2410
39.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2909
3.39 IPS |
|
|
Pose Estimation (HP)
|
92% |
5762
6.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
5978
7.00 IPS |
|
|
Object Detection (SP)
|
98% |
1524
121.3 IPS |
|
|
Object Detection (HP)
|
97% |
1046
83.2 IPS |
|
|
Object Detection (Q)
|
85% |
2159
173.9 IPS |
|
|
Face Detection (SP)
|
100% |
3219
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
3755
44.6 IPS |
|
|
Face Detection (Q)
|
97% |
4860
58.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3572
27.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
4870
37.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4992
45.8 IPS |
|
|
Style Transfer (SP)
|
89% |
7149
9.28 IPS |
|
|
Style Transfer (HP)
|
88% |
6799
8.83 IPS |
|
|
Style Transfer (Q)
|
98% |
13324
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1656
61.2 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
2813
104.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3381
125.3 IPS |
|
|
Text Classification (SP)
|
100% |
738
984.4 IPS |
|
|
Text Classification (HP)
|
100% |
1050
1.40 KIPS |
|
|
Text Classification (Q)
|
93% |
1288
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1948
33.6 IPS |
|
|
Machine Translation (HP)
|
96% |
1642
28.4 IPS |
|
|
Machine Translation (Q)
|
55% |
1183
31.8 IPS |
