Xiaomi A301XM
Geekbench AI Score
451
Single Precision Score
1918
Half Precision Score
2746
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 12:49 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
650
120.9 IPS |
|
|
Image Classification (HP)
|
100% |
2399
446.2 IPS |
|
|
Image Classification (Q)
|
99% |
5748
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
376
6.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
2261
36.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1229
20.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2892
3.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
8163
9.52 IPS |
|
|
Pose Estimation (Q)
|
95% |
32600
38.2 IPS |
|
|
Object Detection (SP)
|
100% |
420
33.3 IPS |
|
|
Object Detection (HP)
|
100% |
2090
165.8 IPS |
|
|
Object Detection (Q)
|
86% |
2956
237.8 IPS |
|
|
Face Detection (SP)
|
28% |
93
17.4 IPS |
|
|
Face Detection (HP)
|
100% |
6234
74.1 IPS |
|
|
Face Detection (Q)
|
97% |
9266
110.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
608
4.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
9524
73.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
20765
197.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1558
2.00 IPS |
|
|
Style Transfer (HP)
|
100% |
430
0.55 IPS |
|
|
Style Transfer (Q)
|
30% |
256
3.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1137
42.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5123
189.2 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
4009
583.9 IPS |
|
|
Text Classification (SP)
|
100% |
58
77.3 IPS |
|
|
Text Classification (HP)
|
100% |
194
259.2 IPS |
|
|
Text Classification (Q)
|
93% |
797
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
206
3.55 IPS |
|
|
Machine Translation (HP)
|
100% |
288
4.96 IPS |
|
|
Machine Translation (Q)
|
60% |
228
5.13 IPS |
