Allwinner A537 K83
Geekbench AI Score
144
Single Precision Score
146
Half Precision Score
152
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 11 2025 07:32 AM |
| Views | 6 |
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 | 5.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
76
14.1 IPS |
|
|
Image Classification (HP)
|
100% |
78
14.5 IPS |
|
|
Image Classification (Q)
|
100% |
102
18.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
96
1.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
92
1.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
135
2.19 IPS |
|
|
Pose Estimation (SP)
|
100% |
319
0.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
337
0.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
238
0.28 IPS |
|
|
Object Detection (SP)
|
100% |
79
6.27 IPS |
|
|
Object Detection (HP)
|
100% |
79
6.27 IPS |
|
|
Object Detection (Q)
|
83% |
102
8.23 IPS |
|
|
Face Detection (SP)
|
100% |
188
2.23 IPS |
|
|
Face Detection (HP)
|
100% |
187
2.23 IPS |
|
|
Face Detection (Q)
|
95% |
245
2.93 IPS |
|
|
Depth Estimation (SP)
|
100% |
185
1.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
205
1.58 IPS |
|
|
Depth Estimation (Q)
|
64% |
235
2.15 IPS |
|
|
Style Transfer (SP)
|
89% |
588
0.76 IPS |
|
|
Style Transfer (HP)
|
89% |
611
0.79 IPS |
|
|
Style Transfer (Q)
|
98% |
626
0.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
123
4.54 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
122
4.49 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
130
4.81 IPS |
|
|
Text Classification (SP)
|
100% |
69
92.3 IPS |
|
|
Text Classification (HP)
|
100% |
70
92.8 IPS |
|
|
Text Classification (Q)
|
88% |
94
126.7 IPS |
|
|
Machine Translation (SP)
|
100% |
123
2.12 IPS |
|
|
Machine Translation (HP)
|
100% |
119
2.04 IPS |
|
|
Machine Translation (Q)
|
50% |
47
1.66 IPS |
