Xiaomi A301XM
Geekbench AI Score
1964
Single Precision Score
1979
Half Precision Score
3146
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 14 2025 04:13 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% |
1760
327.4 IPS |
|
|
Image Classification (HP)
|
100% |
1718
319.4 IPS |
|
|
Image Classification (Q)
|
100% |
1144
212.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1841
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1780
28.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2739
44.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2889
3.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
2939
3.43 IPS |
|
|
Pose Estimation (Q)
|
84% |
7344
8.71 IPS |
|
|
Object Detection (SP)
|
98% |
1576
125.4 IPS |
|
|
Object Detection (HP)
|
98% |
1513
120.4 IPS |
|
|
Object Detection (Q)
|
83% |
2426
196.0 IPS |
|
|
Face Detection (SP)
|
100% |
3247
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
3277
38.9 IPS |
|
|
Face Detection (Q)
|
95% |
5484
65.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3140
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2983
23.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
5684
52.1 IPS |
|
|
Style Transfer (SP)
|
89% |
7630
9.90 IPS |
|
|
Style Transfer (HP)
|
89% |
7731
10.0 IPS |
|
|
Style Transfer (Q)
|
98% |
14922
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1475
54.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1396
51.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3789
140.4 IPS |
|
|
Text Classification (SP)
|
100% |
291
388.0 IPS |
|
|
Text Classification (HP)
|
99% |
383
511.0 IPS |
|
|
Text Classification (Q)
|
88% |
1333
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1741
30.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1679
28.9 IPS |
|
|
Machine Translation (Q)
|
50% |
726
25.8 IPS |
