Allwinner A537 PRO
Geekbench AI Score
165
Single Precision Score
173
Half Precision Score
170
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | April 14 2025 11:30 AM |
| Views | 1 |
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% |
80
14.9 IPS |
|
|
Image Classification (HP)
|
100% |
80
14.9 IPS |
|
|
Image Classification (Q)
|
100% |
111
20.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
105
1.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
106
1.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
140
2.27 IPS |
|
|
Pose Estimation (SP)
|
100% |
362
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
381
0.44 IPS |
|
|
Pose Estimation (Q)
|
84% |
244
0.29 IPS |
|
|
Object Detection (SP)
|
100% |
89
7.05 IPS |
|
|
Object Detection (HP)
|
100% |
88
7.00 IPS |
|
|
Object Detection (Q)
|
83% |
111
8.97 IPS |
|
|
Face Detection (SP)
|
100% |
212
2.52 IPS |
|
|
Face Detection (HP)
|
100% |
215
2.55 IPS |
|
|
Face Detection (Q)
|
95% |
258
3.08 IPS |
|
|
Depth Estimation (SP)
|
100% |
195
1.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
284
2.19 IPS |
|
|
Depth Estimation (Q)
|
64% |
252
2.31 IPS |
|
|
Style Transfer (SP)
|
89% |
646
0.84 IPS |
|
|
Style Transfer (HP)
|
89% |
653
0.85 IPS |
|
|
Style Transfer (Q)
|
98% |
713
0.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
136
5.04 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
137
5.06 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
141
5.23 IPS |
|
|
Text Classification (SP)
|
100% |
90
120.5 IPS |
|
|
Text Classification (HP)
|
100% |
91
121.0 IPS |
|
|
Text Classification (Q)
|
88% |
101
136.7 IPS |
|
|
Machine Translation (SP)
|
100% |
178
3.07 IPS |
|
|
Machine Translation (HP)
|
100% |
179
3.08 IPS |
|
|
Machine Translation (Q)
|
50% |
73
2.61 IPS |
