Xiaomi A301XM
Geekbench AI Score
976
Single Precision Score
1363
Half Precision Score
1082
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 14 2025 04:04 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
390
72.5 IPS |
|
|
Image Classification (HP)
|
100% |
598
111.3 IPS |
|
|
Image Classification (Q)
|
97% |
616
114.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1511
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2368
38.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2073
33.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5797
6.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
13060
15.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12588
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
517
41.0 IPS |
|
|
Object Detection (HP)
|
99% |
699
55.4 IPS |
|
|
Object Detection (Q)
|
83% |
707
57.1 IPS |
|
|
Face Detection (SP)
|
100% |
2351
27.9 IPS |
|
|
Face Detection (HP)
|
100% |
3627
43.1 IPS |
|
|
Face Detection (Q)
|
96% |
2705
32.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3789
29.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
5430
42.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
3881
36.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7965
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
17401
22.4 IPS |
|
|
Style Transfer (Q)
|
98% |
16122
20.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1409
52.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1832
67.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1873
69.4 IPS |
|
|
Text Classification (SP)
|
35% |
13
118.3 IPS |
|
|
Text Classification (HP)
|
29% |
8
144.5 IPS |
|
|
Text Classification (Q)
|
29% |
8
136.0 IPS |
|
|
Machine Translation (SP)
|
100% |
343
5.91 IPS |
|
|
Machine Translation (HP)
|
100% |
341
5.88 IPS |
|
|
Machine Translation (Q)
|
43% |
77
4.46 IPS |
