Allwinner A523 PRO
Geekbench AI Score
127
Single Precision Score
128
Half Precision Score
233
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 16 2025 08:37 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% |
63
11.8 IPS |
|
|
Image Classification (HP)
|
100% |
64
11.9 IPS |
|
|
Image Classification (Q)
|
100% |
136
25.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
91
1.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
88
1.43 IPS |
|
|
Image Segmentation (Q)
|
98% |
260
4.23 IPS |
|
|
Pose Estimation (SP)
|
100% |
324
0.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
316
0.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
584
0.69 IPS |
|
|
Object Detection (SP)
|
100% |
63
4.97 IPS |
|
|
Object Detection (HP)
|
100% |
64
5.07 IPS |
|
|
Object Detection (Q)
|
83% |
157
12.7 IPS |
|
|
Face Detection (SP)
|
100% |
183
2.17 IPS |
|
|
Face Detection (HP)
|
100% |
188
2.24 IPS |
|
|
Face Detection (Q)
|
95% |
369
4.40 IPS |
|
|
Depth Estimation (SP)
|
100% |
195
1.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
235
1.81 IPS |
|
|
Depth Estimation (Q)
|
64% |
466
4.27 IPS |
|
|
Style Transfer (SP)
|
89% |
621
0.81 IPS |
|
|
Style Transfer (HP)
|
89% |
608
0.79 IPS |
|
|
Style Transfer (Q)
|
98% |
1290
1.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
115
4.26 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
114
4.21 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
257
9.52 IPS |
|
|
Text Classification (SP)
|
100% |
42
56.0 IPS |
|
|
Text Classification (HP)
|
100% |
40
53.4 IPS |
|
|
Text Classification (Q)
|
88% |
58
78.9 IPS |
|
|
Machine Translation (SP)
|
100% |
88
1.52 IPS |
|
|
Machine Translation (HP)
|
100% |
88
1.51 IPS |
|
|
Machine Translation (Q)
|
50% |
44
1.55 IPS |
