Alldocube T811
Geekbench AI Score
131
Single Precision Score
143
Half Precision Score
151
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 17 2025 02:24 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM Unisoc |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Alldocube T811 |
| Model ID | Alldocube T811 |
| Motherboard | ums9230_1h10 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Unisoc |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.61 GHz |
| Cluster 1 | 8 Cores @ 1.61 GHz |
| Memory Information | |
|---|---|
| Size | 3.67 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
78
14.5 IPS |
|
|
Image Classification (HP)
|
100% |
78
14.4 IPS |
|
|
Image Classification (Q)
|
99% |
104
19.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
104
1.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
105
1.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
147
2.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
474
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
474
0.55 IPS |
|
|
Pose Estimation (Q)
|
96% |
431
0.51 IPS |
|
|
Object Detection (SP)
|
100% |
41
3.28 IPS |
|
|
Object Detection (HP)
|
100% |
42
3.30 IPS |
|
|
Object Detection (Q)
|
87% |
78
6.28 IPS |
|
|
Face Detection (SP)
|
100% |
266
3.16 IPS |
|
|
Face Detection (HP)
|
100% |
267
3.17 IPS |
|
|
Face Detection (Q)
|
97% |
208
2.48 IPS |
|
|
Depth Estimation (SP)
|
100% |
355
2.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
355
2.74 IPS |
|
|
Depth Estimation (Q)
|
66% |
335
2.94 IPS |
|
|
Style Transfer (SP)
|
100% |
355
0.46 IPS |
|
|
Style Transfer (HP)
|
100% |
186
0.24 IPS |
|
|
Style Transfer (Q)
|
98% |
575
0.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
208
7.67 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
209
7.70 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
213
7.88 IPS |
|
|
Text Classification (SP)
|
100% |
21
28.0 IPS |
|
|
Text Classification (HP)
|
100% |
59
78.6 IPS |
|
|
Text Classification (Q)
|
93% |
31
41.7 IPS |
|
|
Machine Translation (SP)
|
100% |
69
1.19 IPS |
|
|
Machine Translation (HP)
|
100% |
103
1.78 IPS |
|
|
Machine Translation (Q)
|
55% |
47
1.25 IPS |
