Allwinner A537 PRO
Geekbench AI Score
162
Single Precision Score
166
Half Precision Score
173
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 16 2025 06:06 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% |
72
13.4 IPS |
|
|
Image Classification (HP)
|
100% |
71
13.2 IPS |
|
|
Image Classification (Q)
|
100% |
128
23.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
107
1.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
110
1.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
152
2.47 IPS |
|
|
Pose Estimation (SP)
|
100% |
379
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
382
0.45 IPS |
|
|
Pose Estimation (Q)
|
84% |
242
0.29 IPS |
|
|
Object Detection (SP)
|
100% |
85
6.74 IPS |
|
|
Object Detection (HP)
|
100% |
85
6.76 IPS |
|
|
Object Detection (Q)
|
83% |
111
8.94 IPS |
|
|
Face Detection (SP)
|
100% |
214
2.54 IPS |
|
|
Face Detection (HP)
|
100% |
220
2.61 IPS |
|
|
Face Detection (Q)
|
95% |
259
3.10 IPS |
|
|
Depth Estimation (SP)
|
100% |
189
1.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
212
1.63 IPS |
|
|
Depth Estimation (Q)
|
64% |
250
2.29 IPS |
|
|
Style Transfer (SP)
|
89% |
638
0.83 IPS |
|
|
Style Transfer (HP)
|
89% |
646
0.84 IPS |
|
|
Style Transfer (Q)
|
98% |
710
0.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
127
4.70 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
139
5.12 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
141
5.21 IPS |
|
|
Text Classification (SP)
|
100% |
89
119.2 IPS |
|
|
Text Classification (HP)
|
100% |
90
120.2 IPS |
|
|
Text Classification (Q)
|
88% |
100
135.4 IPS |
|
|
Machine Translation (SP)
|
100% |
175
3.02 IPS |
|
|
Machine Translation (HP)
|
100% |
175
3.01 IPS |
|
|
Machine Translation (Q)
|
50% |
72
2.55 IPS |
