Allwinner A537 PRO
Geekbench AI Score
137
Single Precision Score
137
Half Precision Score
160
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 15 2025 08:13 AM |
| Views | 3 |
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% |
73
13.6 IPS |
|
|
Image Classification (HP)
|
100% |
71
13.2 IPS |
|
|
Image Classification (Q)
|
100% |
108
20.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
87
1.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
88
1.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
128
2.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
303
0.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
302
0.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
233
0.28 IPS |
|
|
Object Detection (SP)
|
100% |
78
6.20 IPS |
|
|
Object Detection (HP)
|
100% |
76
6.02 IPS |
|
|
Object Detection (Q)
|
83% |
107
8.66 IPS |
|
|
Face Detection (SP)
|
100% |
166
1.98 IPS |
|
|
Face Detection (HP)
|
100% |
171
2.03 IPS |
|
|
Face Detection (Q)
|
95% |
237
2.83 IPS |
|
|
Depth Estimation (SP)
|
100% |
158
1.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
154
1.19 IPS |
|
|
Depth Estimation (Q)
|
64% |
242
2.22 IPS |
|
|
Style Transfer (SP)
|
89% |
559
0.73 IPS |
|
|
Style Transfer (HP)
|
89% |
559
0.73 IPS |
|
|
Style Transfer (Q)
|
98% |
642
0.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
112
4.14 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
122
4.49 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
135
5.00 IPS |
|
|
Text Classification (SP)
|
100% |
70
93.1 IPS |
|
|
Text Classification (HP)
|
100% |
68
90.5 IPS |
|
|
Text Classification (Q)
|
88% |
98
132.4 IPS |
|
|
Machine Translation (SP)
|
100% |
143
2.46 IPS |
|
|
Machine Translation (HP)
|
100% |
143
2.46 IPS |
|
|
Machine Translation (Q)
|
50% |
69
2.45 IPS |
