Allwinner A537 K83
Geekbench AI Score
79
Single Precision Score
81
Half Precision Score
91
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | March 27 2025 02:45 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Allwinner A537 K83 |
| Model ID | Allwinner A537 K83 |
| 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 | 1.42 GHz |
| Cluster 1 | 4 Cores @ 1.42 GHz |
| Cluster 2 | 2 Cores @ 1.51 GHz |
| Cluster 3 | 2 Cores @ 1.80 GHz |
| Memory Information | |
|---|---|
| Size | 3.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
57
10.7 IPS |
|
|
Image Classification (HP)
|
100% |
42
7.72 IPS |
|
|
Image Classification (Q)
|
100% |
45
8.31 IPS |
|
|
Image Segmentation (SP)
|
100% |
59
0.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
56
0.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
88
1.43 IPS |
|
|
Pose Estimation (SP)
|
100% |
202
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
204
0.24 IPS |
|
|
Pose Estimation (Q)
|
84% |
186
0.22 IPS |
|
|
Object Detection (SP)
|
100% |
32
2.57 IPS |
|
|
Object Detection (HP)
|
100% |
39
3.08 IPS |
|
|
Object Detection (Q)
|
83% |
56
4.53 IPS |
|
|
Face Detection (SP)
|
100% |
109
1.30 IPS |
|
|
Face Detection (HP)
|
100% |
107
1.27 IPS |
|
|
Face Detection (Q)
|
95% |
166
1.99 IPS |
|
|
Depth Estimation (SP)
|
100% |
113
0.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
117
0.90 IPS |
|
|
Depth Estimation (Q)
|
64% |
150
1.37 IPS |
|
|
Style Transfer (SP)
|
89% |
485
0.63 IPS |
|
|
Style Transfer (HP)
|
89% |
506
0.66 IPS |
|
|
Style Transfer (Q)
|
98% |
519
0.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
66
2.45 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
61
2.25 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
82
3.04 IPS |
|
|
Text Classification (SP)
|
100% |
23
30.5 IPS |
|
|
Text Classification (HP)
|
100% |
36
47.7 IPS |
|
|
Text Classification (Q)
|
88% |
41
55.9 IPS |
|
|
Machine Translation (SP)
|
100% |
53
0.91 IPS |
|
|
Machine Translation (HP)
|
100% |
47
0.80 IPS |
|
|
Machine Translation (Q)
|
50% |
22
0.79 IPS |
