Allwinner A333 PRO
Geekbench AI Score
115
Single Precision Score
116
Half Precision Score
138
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 09 2025 10:38 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Allwinner A333 PRO |
| Model ID | Allwinner A333 PRO |
| Motherboard | exdroid |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 5 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 2 Cores @ 1.20 GHz |
| Cluster 2 | 1 Core @ 1.51 GHz |
| Cluster 3 | 2 Cores @ 1.75 GHz |
| Memory Information | |
|---|---|
| Size | 2.74 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
63
11.7 IPS |
|
|
Image Classification (HP)
|
100% |
59
11.0 IPS |
|
|
Image Classification (Q)
|
100% |
89
16.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
79
1.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
79
1.28 IPS |
|
|
Image Segmentation (Q)
|
98% |
110
1.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
237
0.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
249
0.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
199
0.24 IPS |
|
|
Object Detection (SP)
|
100% |
64
5.05 IPS |
|
|
Object Detection (HP)
|
100% |
64
5.06 IPS |
|
|
Object Detection (Q)
|
83% |
93
7.52 IPS |
|
|
Face Detection (SP)
|
100% |
142
1.69 IPS |
|
|
Face Detection (HP)
|
100% |
146
1.74 IPS |
|
|
Face Detection (Q)
|
95% |
198
2.36 IPS |
|
|
Depth Estimation (SP)
|
100% |
138
1.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
150
1.16 IPS |
|
|
Depth Estimation (Q)
|
64% |
211
1.94 IPS |
|
|
Style Transfer (SP)
|
89% |
472
0.61 IPS |
|
|
Style Transfer (HP)
|
89% |
465
0.60 IPS |
|
|
Style Transfer (Q)
|
98% |
551
0.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
89
3.28 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
87
3.20 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
113
4.20 IPS |
|
|
Text Classification (SP)
|
100% |
58
78.0 IPS |
|
|
Text Classification (HP)
|
100% |
60
79.8 IPS |
|
|
Text Classification (Q)
|
88% |
89
120.1 IPS |
|
|
Machine Translation (SP)
|
100% |
121
2.09 IPS |
|
|
Machine Translation (HP)
|
100% |
118
2.03 IPS |
|
|
Machine Translation (Q)
|
50% |
61
2.18 IPS |
