samsung SM-T220
Geekbench AI Score
122
Single Precision Score
115
Half Precision Score
82
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 31 2025 08:38 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM MT8768WT |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-T220 |
| Model ID | samsung SM-T220 |
| Motherboard | gta7litewifi |
| CPU Information | |
|---|---|
| Name | ARM MT8768WT |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.30 GHz |
| Memory Information | |
|---|---|
| Size | 2.79 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
76
14.1 IPS |
|
|
Image Classification (HP)
|
100% |
75
14.0 IPS |
|
|
Image Classification (Q)
|
100% |
65
12.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
100
1.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
99
1.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
86
1.40 IPS |
|
|
Pose Estimation (SP)
|
100% |
411
0.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
407
0.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
391
0.46 IPS |
|
|
Object Detection (SP)
|
100% |
72
5.67 IPS |
|
|
Object Detection (HP)
|
100% |
72
5.70 IPS |
|
|
Object Detection (Q)
|
85% |
64
5.17 IPS |
|
|
Face Detection (SP)
|
100% |
218
2.59 IPS |
|
|
Face Detection (HP)
|
100% |
203
2.41 IPS |
|
|
Face Detection (Q)
|
97% |
161
1.92 IPS |
|
|
Depth Estimation (SP)
|
100% |
267
2.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
245
1.89 IPS |
|
|
Depth Estimation (Q)
|
64% |
195
1.79 IPS |
|
|
Style Transfer (SP)
|
100% |
750
0.96 IPS |
|
|
Style Transfer (HP)
|
100% |
747
0.96 IPS |
|
|
Style Transfer (Q)
|
98% |
706
0.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
154
5.69 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
147
5.44 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
130
4.82 IPS |
|
|
Text Classification (SP)
|
35% |
7
61.3 IPS |
|
|
Text Classification (HP)
|
35% |
6
61.7 IPS |
|
|
Text Classification (Q)
|
32% |
4
57.1 IPS |
|
|
Machine Translation (SP)
|
100% |
73
1.26 IPS |
|
|
Machine Translation (HP)
|
100% |
60
1.03 IPS |
|
|
Machine Translation (Q)
|
41% |
9
0.63 IPS |
