Xiaomi A301XM
Geekbench AI Score
547
Single Precision Score
2614
Half Precision Score
3523
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 14 2025 04:09 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
672
125.0 IPS |
|
|
Image Classification (HP)
|
100% |
2662
495.0 IPS |
|
|
Image Classification (Q)
|
99% |
6790
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
400
6.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
2538
41.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1263
20.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2938
3.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
8243
9.62 IPS |
|
|
Pose Estimation (Q)
|
95% |
33079
38.8 IPS |
|
|
Object Detection (SP)
|
100% |
503
39.9 IPS |
|
|
Object Detection (HP)
|
100% |
2368
187.8 IPS |
|
|
Object Detection (Q)
|
86% |
3783
304.3 IPS |
|
|
Face Detection (SP)
|
28% |
101
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
7109
84.5 IPS |
|
|
Face Detection (Q)
|
97% |
10400
124.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1043
8.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
10048
77.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
23672
224.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2402
3.09 IPS |
|
|
Style Transfer (HP)
|
100% |
934
1.20 IPS |
|
|
Style Transfer (Q)
|
30% |
609
9.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1181
43.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5397
199.3 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
4410
642.3 IPS |
|
|
Text Classification (SP)
|
100% |
64
85.5 IPS |
|
|
Text Classification (HP)
|
100% |
477
636.9 IPS |
|
|
Text Classification (Q)
|
93% |
1020
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
319
5.49 IPS |
|
|
Machine Translation (HP)
|
100% |
659
11.4 IPS |
|
|
Machine Translation (Q)
|
60% |
408
9.19 IPS |
