samsung SM-T220
Geekbench AI Score
202
Single Precision Score
206
Half Precision Score
232
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 18 2025 02:05 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
85
15.8 IPS |
|
|
Image Classification (HP)
|
100% |
110
20.4 IPS |
|
|
Image Classification (Q)
|
100% |
164
30.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
137
2.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
139
2.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
250
4.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
460
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
489
0.57 IPS |
|
|
Pose Estimation (Q)
|
84% |
322
0.38 IPS |
|
|
Object Detection (SP)
|
100% |
103
8.19 IPS |
|
|
Object Detection (HP)
|
100% |
104
8.26 IPS |
|
|
Object Detection (Q)
|
83% |
151
12.2 IPS |
|
|
Face Detection (SP)
|
100% |
259
3.08 IPS |
|
|
Face Detection (HP)
|
100% |
253
3.01 IPS |
|
|
Face Detection (Q)
|
95% |
411
4.91 IPS |
|
|
Depth Estimation (SP)
|
100% |
354
2.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
328
2.53 IPS |
|
|
Depth Estimation (Q)
|
64% |
317
2.90 IPS |
|
|
Style Transfer (SP)
|
89% |
813
1.06 IPS |
|
|
Style Transfer (HP)
|
89% |
808
1.05 IPS |
|
|
Style Transfer (Q)
|
98% |
785
1.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
159
5.88 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
157
5.78 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
211
7.82 IPS |
|
|
Text Classification (SP)
|
100% |
115
153.5 IPS |
|
|
Text Classification (HP)
|
100% |
113
151.2 IPS |
|
|
Text Classification (Q)
|
88% |
138
186.1 IPS |
|
|
Machine Translation (SP)
|
100% |
158
2.72 IPS |
|
|
Machine Translation (HP)
|
100% |
155
2.67 IPS |
|
|
Machine Translation (Q)
|
50% |
77
2.74 IPS |
