Allwinner A537 PRO
Geekbench AI Score
138
Single Precision Score
136
Half Precision Score
159
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 15 2025 07:36 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% |
70
12.9 IPS |
|
|
Image Classification (HP)
|
100% |
67
12.5 IPS |
|
|
Image Classification (Q)
|
100% |
107
19.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
88
1.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
93
1.51 IPS |
|
|
Image Segmentation (Q)
|
98% |
133
2.16 IPS |
|
|
Pose Estimation (SP)
|
100% |
315
0.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
291
0.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
234
0.28 IPS |
|
|
Object Detection (SP)
|
100% |
79
6.23 IPS |
|
|
Object Detection (HP)
|
100% |
78
6.23 IPS |
|
|
Object Detection (Q)
|
83% |
107
8.64 IPS |
|
|
Face Detection (SP)
|
100% |
172
2.05 IPS |
|
|
Face Detection (HP)
|
100% |
173
2.06 IPS |
|
|
Face Detection (Q)
|
95% |
237
2.83 IPS |
|
|
Depth Estimation (SP)
|
100% |
156
1.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
154
1.19 IPS |
|
|
Depth Estimation (Q)
|
64% |
236
2.16 IPS |
|
|
Style Transfer (SP)
|
89% |
555
0.72 IPS |
|
|
Style Transfer (HP)
|
89% |
553
0.72 IPS |
|
|
Style Transfer (Q)
|
98% |
639
0.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
114
4.20 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
113
4.17 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
132
4.89 IPS |
|
|
Text Classification (SP)
|
100% |
66
88.5 IPS |
|
|
Text Classification (HP)
|
100% |
65
87.3 IPS |
|
|
Text Classification (Q)
|
88% |
98
132.8 IPS |
|
|
Machine Translation (SP)
|
100% |
148
2.55 IPS |
|
|
Machine Translation (HP)
|
100% |
143
2.46 IPS |
|
|
Machine Translation (Q)
|
50% |
65
2.32 IPS |
