Allwinner A523 PRO
Geekbench AI Score
264
Single Precision Score
256
Half Precision Score
469
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 14 2025 11:27 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Allwinner A523 PRO |
| Model ID | Allwinner A523 PRO |
| Motherboard | exdroid |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3333 revision 0 |
| Base Frequency | 1.42 GHz |
| Cluster 1 | 4 Cores @ 1.42 GHz |
| Cluster 2 | 4 Cores @ 1.80 GHz |
| Memory Information | |
|---|---|
| Size | 3.67 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
147
27.3 IPS |
|
|
Image Classification (HP)
|
100% |
141
26.3 IPS |
|
|
Image Classification (Q)
|
100% |
299
55.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
173
2.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
188
3.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
522
8.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
664
0.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
646
0.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
1198
1.42 IPS |
|
|
Object Detection (SP)
|
100% |
130
10.3 IPS |
|
|
Object Detection (HP)
|
100% |
132
10.5 IPS |
|
|
Object Detection (Q)
|
83% |
315
25.4 IPS |
|
|
Face Detection (SP)
|
100% |
312
3.70 IPS |
|
|
Face Detection (HP)
|
100% |
314
3.74 IPS |
|
|
Face Detection (Q)
|
95% |
827
9.87 IPS |
|
|
Depth Estimation (SP)
|
100% |
429
3.30 IPS |
|
|
Depth Estimation (HP)
|
99% |
288
2.22 IPS |
|
|
Depth Estimation (Q)
|
64% |
897
8.21 IPS |
|
|
Style Transfer (SP)
|
89% |
1229
1.59 IPS |
|
|
Style Transfer (HP)
|
89% |
1247
1.62 IPS |
|
|
Style Transfer (Q)
|
98% |
2230
2.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
217
8.00 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
223
8.24 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
541
20.1 IPS |
|
|
Text Classification (SP)
|
100% |
111
148.8 IPS |
|
|
Text Classification (HP)
|
100% |
112
150.0 IPS |
|
|
Text Classification (Q)
|
88% |
126
169.7 IPS |
|
|
Machine Translation (SP)
|
100% |
194
3.34 IPS |
|
|
Machine Translation (HP)
|
100% |
194
3.34 IPS |
|
|
Machine Translation (Q)
|
50% |
78
2.77 IPS |
