Allwinner A537 K83
Geekbench AI Score
152
Single Precision Score
151
Half Precision Score
162
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | March 28 2025 08:35 AM |
| Views | 10 |
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% |
79
14.8 IPS |
|
|
Image Classification (HP)
|
100% |
79
14.7 IPS |
|
|
Image Classification (Q)
|
100% |
110
20.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
101
1.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
106
1.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
145
2.36 IPS |
|
|
Pose Estimation (SP)
|
100% |
348
0.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
339
0.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
258
0.31 IPS |
|
|
Object Detection (SP)
|
100% |
81
6.46 IPS |
|
|
Object Detection (HP)
|
100% |
81
6.43 IPS |
|
|
Object Detection (Q)
|
83% |
113
9.09 IPS |
|
|
Face Detection (SP)
|
100% |
196
2.33 IPS |
|
|
Face Detection (HP)
|
100% |
198
2.35 IPS |
|
|
Face Detection (Q)
|
95% |
256
3.05 IPS |
|
|
Depth Estimation (SP)
|
100% |
183
1.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
184
1.42 IPS |
|
|
Depth Estimation (Q)
|
64% |
259
2.37 IPS |
|
|
Style Transfer (SP)
|
89% |
642
0.83 IPS |
|
|
Style Transfer (HP)
|
89% |
647
0.84 IPS |
|
|
Style Transfer (Q)
|
98% |
679
0.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
138
5.10 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
131
4.83 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
146
5.42 IPS |
|
|
Text Classification (SP)
|
100% |
77
102.2 IPS |
|
|
Text Classification (HP)
|
100% |
74
99.3 IPS |
|
|
Text Classification (Q)
|
88% |
86
115.5 IPS |
|
|
Machine Translation (SP)
|
100% |
122
2.11 IPS |
|
|
Machine Translation (HP)
|
100% |
122
2.10 IPS |
|
|
Machine Translation (Q)
|
50% |
48
1.71 IPS |
