Allwinner A523 PRO
Geekbench AI Score
226
Single Precision Score
230
Half Precision Score
396
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 14 2025 04:55 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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 @ 1.58 GHz |
| Memory Information | |
|---|---|
| Size | 3.67 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
122
22.6 IPS |
|
|
Image Classification (HP)
|
100% |
128
23.8 IPS |
|
|
Image Classification (Q)
|
100% |
270
50.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
166
2.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
167
2.71 IPS |
|
|
Image Segmentation (Q)
|
98% |
435
7.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
590
0.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
569
0.66 IPS |
|
|
Pose Estimation (Q)
|
84% |
943
1.12 IPS |
|
|
Object Detection (SP)
|
100% |
114
9.04 IPS |
|
|
Object Detection (HP)
|
100% |
115
9.14 IPS |
|
|
Object Detection (Q)
|
83% |
279
22.5 IPS |
|
|
Face Detection (SP)
|
100% |
318
3.78 IPS |
|
|
Face Detection (HP)
|
100% |
320
3.80 IPS |
|
|
Face Detection (Q)
|
95% |
692
8.26 IPS |
|
|
Depth Estimation (SP)
|
100% |
316
2.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
324
2.49 IPS |
|
|
Depth Estimation (Q)
|
64% |
760
6.96 IPS |
|
|
Style Transfer (SP)
|
89% |
992
1.29 IPS |
|
|
Style Transfer (HP)
|
89% |
970
1.26 IPS |
|
|
Style Transfer (Q)
|
98% |
1814
2.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
185
6.83 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
191
7.05 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
462
17.1 IPS |
|
|
Text Classification (SP)
|
100% |
87
115.5 IPS |
|
|
Text Classification (HP)
|
100% |
95
127.1 IPS |
|
|
Text Classification (Q)
|
88% |
107
144.3 IPS |
|
|
Machine Translation (SP)
|
100% |
164
2.83 IPS |
|
|
Machine Translation (HP)
|
100% |
165
2.84 IPS |
|
|
Machine Translation (Q)
|
50% |
66
2.35 IPS |
