Allwinner A537 K83
Geekbench AI Score
130
Single Precision Score
135
Half Precision Score
154
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 01 2025 04:49 PM |
| 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% |
34
6.32 IPS |
|
|
Image Classification (HP)
|
100% |
36
6.77 IPS |
|
|
Image Classification (Q)
|
100% |
56
10.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
62
1.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
66
1.07 IPS |
|
|
Image Segmentation (Q)
|
98% |
110
1.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
227
0.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
221
0.26 IPS |
|
|
Pose Estimation (Q)
|
84% |
272
0.32 IPS |
|
|
Object Detection (SP)
|
100% |
81
6.44 IPS |
|
|
Object Detection (HP)
|
100% |
83
6.54 IPS |
|
|
Object Detection (Q)
|
83% |
117
9.45 IPS |
|
|
Face Detection (SP)
|
100% |
200
2.37 IPS |
|
|
Face Detection (HP)
|
100% |
204
2.42 IPS |
|
|
Face Detection (Q)
|
95% |
269
3.22 IPS |
|
|
Depth Estimation (SP)
|
100% |
251
1.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
262
2.02 IPS |
|
|
Depth Estimation (Q)
|
64% |
276
2.53 IPS |
|
|
Style Transfer (SP)
|
89% |
679
0.88 IPS |
|
|
Style Transfer (HP)
|
89% |
672
0.87 IPS |
|
|
Style Transfer (Q)
|
98% |
723
0.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
115
4.24 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
138
5.11 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
155
5.74 IPS |
|
|
Text Classification (SP)
|
100% |
80
106.6 IPS |
|
|
Text Classification (HP)
|
100% |
80
106.4 IPS |
|
|
Text Classification (Q)
|
88% |
92
124.7 IPS |
|
|
Machine Translation (SP)
|
100% |
122
2.10 IPS |
|
|
Machine Translation (HP)
|
100% |
120
2.06 IPS |
|
|
Machine Translation (Q)
|
50% |
52
1.85 IPS |
