Allwinner A333 PRO
Geekbench AI Score
123
Single Precision Score
121
Half Precision Score
140
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 09 2025 08:19 AM |
| Views | 2 |
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% |
60
11.1 IPS |
|
|
Image Classification (HP)
|
100% |
59
11.0 IPS |
|
|
Image Classification (Q)
|
100% |
91
16.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
81
1.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
80
1.29 IPS |
|
|
Image Segmentation (Q)
|
98% |
113
1.84 IPS |
|
|
Pose Estimation (SP)
|
100% |
235
0.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
248
0.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
201
0.24 IPS |
|
|
Object Detection (SP)
|
100% |
64
5.07 IPS |
|
|
Object Detection (HP)
|
100% |
65
5.14 IPS |
|
|
Object Detection (Q)
|
83% |
93
7.55 IPS |
|
|
Face Detection (SP)
|
100% |
151
1.79 IPS |
|
|
Face Detection (HP)
|
100% |
151
1.79 IPS |
|
|
Face Detection (Q)
|
95% |
205
2.45 IPS |
|
|
Depth Estimation (SP)
|
100% |
195
1.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
161
1.24 IPS |
|
|
Depth Estimation (Q)
|
64% |
208
1.90 IPS |
|
|
Style Transfer (SP)
|
89% |
479
0.62 IPS |
|
|
Style Transfer (HP)
|
89% |
469
0.61 IPS |
|
|
Style Transfer (Q)
|
98% |
557
0.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
103
3.79 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
106
3.91 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
112
4.16 IPS |
|
|
Text Classification (SP)
|
100% |
61
81.8 IPS |
|
|
Text Classification (HP)
|
100% |
59
78.6 IPS |
|
|
Text Classification (Q)
|
88% |
92
123.6 IPS |
|
|
Machine Translation (SP)
|
100% |
125
2.16 IPS |
|
|
Machine Translation (HP)
|
100% |
124
2.13 IPS |
|
|
Machine Translation (Q)
|
50% |
62
2.20 IPS |
