Allwinner A537 PRO
Geekbench AI Score
162
Single Precision Score
165
Half Precision Score
166
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 12 2025 10:36 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Allwinner A537 PRO |
| Model ID | Allwinner A537 PRO |
| Motherboard | exdroid |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores @ 1.20 GHz |
| Cluster 2 | 2 Cores @ 1.51 GHz |
| Cluster 3 | 2 Cores @ 1.54 GHz |
| Memory Information | |
|---|---|
| Size | 5.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
74
13.8 IPS |
|
|
Image Classification (HP)
|
100% |
75
14.0 IPS |
|
|
Image Classification (Q)
|
100% |
107
19.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
99
1.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
99
1.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
137
2.23 IPS |
|
|
Pose Estimation (SP)
|
100% |
373
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
349
0.41 IPS |
|
|
Pose Estimation (Q)
|
84% |
244
0.29 IPS |
|
|
Object Detection (SP)
|
100% |
82
6.54 IPS |
|
|
Object Detection (HP)
|
100% |
85
6.76 IPS |
|
|
Object Detection (Q)
|
83% |
109
8.77 IPS |
|
|
Face Detection (SP)
|
100% |
215
2.55 IPS |
|
|
Face Detection (HP)
|
100% |
213
2.53 IPS |
|
|
Face Detection (Q)
|
95% |
252
3.01 IPS |
|
|
Depth Estimation (SP)
|
100% |
217
1.67 IPS |
|
|
Depth Estimation (HP)
|
99% |
263
2.02 IPS |
|
|
Depth Estimation (Q)
|
64% |
249
2.28 IPS |
|
|
Style Transfer (SP)
|
89% |
631
0.82 IPS |
|
|
Style Transfer (HP)
|
89% |
656
0.85 IPS |
|
|
Style Transfer (Q)
|
98% |
707
0.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
148
5.46 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
147
5.44 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
139
5.15 IPS |
|
|
Text Classification (SP)
|
100% |
80
106.8 IPS |
|
|
Text Classification (HP)
|
100% |
85
113.9 IPS |
|
|
Text Classification (Q)
|
88% |
90
121.3 IPS |
|
|
Machine Translation (SP)
|
100% |
169
2.92 IPS |
|
|
Machine Translation (HP)
|
100% |
150
2.59 IPS |
|
|
Machine Translation (Q)
|
50% |
74
2.64 IPS |
