samsung SM-T220
Geekbench AI Score
234
Single Precision Score
226
Half Precision Score
279
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 24 2025 03:59 PM |
| Views | 2 |
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% |
118
21.9 IPS |
|
|
Image Classification (HP)
|
100% |
121
22.5 IPS |
|
|
Image Classification (Q)
|
100% |
192
35.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
159
2.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
159
2.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
287
4.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
572
0.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
511
0.60 IPS |
|
|
Pose Estimation (Q)
|
84% |
406
0.48 IPS |
|
|
Object Detection (SP)
|
100% |
116
9.18 IPS |
|
|
Object Detection (HP)
|
100% |
118
9.36 IPS |
|
|
Object Detection (Q)
|
83% |
194
15.6 IPS |
|
|
Face Detection (SP)
|
100% |
282
3.35 IPS |
|
|
Face Detection (HP)
|
100% |
282
3.36 IPS |
|
|
Face Detection (Q)
|
95% |
487
5.82 IPS |
|
|
Depth Estimation (SP)
|
100% |
406
3.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
332
2.56 IPS |
|
|
Depth Estimation (Q)
|
64% |
414
3.79 IPS |
|
|
Style Transfer (SP)
|
89% |
980
1.27 IPS |
|
|
Style Transfer (HP)
|
89% |
970
1.26 IPS |
|
|
Style Transfer (Q)
|
98% |
985
1.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
173
6.39 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
170
6.27 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
253
9.36 IPS |
|
|
Text Classification (SP)
|
100% |
123
163.5 IPS |
|
|
Text Classification (HP)
|
100% |
122
162.3 IPS |
|
|
Text Classification (Q)
|
88% |
150
203.0 IPS |
|
|
Machine Translation (SP)
|
100% |
169
2.91 IPS |
|
|
Machine Translation (HP)
|
100% |
165
2.85 IPS |
|
|
Machine Translation (Q)
|
50% |
89
3.17 IPS |
