Xiaomi A301XM
Geekbench AI Score
1949
Single Precision Score
2083
Half Precision Score
3415
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 14 2025 03:59 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi A301XM |
| Model ID | Xiaomi A301XM |
| Motherboard | corot |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 3.00 GHz |
| Cluster 3 | 1 Core @ 3.35 GHz |
| Memory Information | |
|---|---|
| Size | 11.08 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1552
288.6 IPS |
|
|
Image Classification (HP)
|
100% |
1703
316.6 IPS |
|
|
Image Classification (Q)
|
100% |
2759
513.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1751
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1767
28.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2570
41.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3035
3.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
2932
3.42 IPS |
|
|
Pose Estimation (Q)
|
84% |
7416
8.79 IPS |
|
|
Object Detection (SP)
|
98% |
1620
128.9 IPS |
|
|
Object Detection (HP)
|
98% |
1578
125.5 IPS |
|
|
Object Detection (Q)
|
83% |
2542
205.3 IPS |
|
|
Face Detection (SP)
|
100% |
3135
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
3139
37.3 IPS |
|
|
Face Detection (Q)
|
95% |
5642
67.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2980
23.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3046
23.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
5756
52.7 IPS |
|
|
Style Transfer (SP)
|
89% |
7318
9.50 IPS |
|
|
Style Transfer (HP)
|
89% |
7346
9.54 IPS |
|
|
Style Transfer (Q)
|
98% |
14339
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1468
54.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1420
52.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3705
137.3 IPS |
|
|
Text Classification (SP)
|
100% |
349
465.7 IPS |
|
|
Text Classification (HP)
|
99% |
740
987.5 IPS |
|
|
Text Classification (Q)
|
88% |
1249
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1693
29.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1503
25.9 IPS |
|
|
Machine Translation (Q)
|
50% |
749
26.6 IPS |
