samsung SM-T220
Geekbench AI Score
219
Single Precision Score
217
Half Precision Score
258
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 26 2025 05:52 AM |
| Views | 3 |
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% |
111
20.6 IPS |
|
|
Image Classification (HP)
|
100% |
108
20.1 IPS |
|
|
Image Classification (Q)
|
100% |
176
32.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
140
2.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
142
2.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
263
4.28 IPS |
|
|
Pose Estimation (SP)
|
100% |
503
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
481
0.56 IPS |
|
|
Pose Estimation (Q)
|
84% |
377
0.45 IPS |
|
|
Object Detection (SP)
|
100% |
113
8.98 IPS |
|
|
Object Detection (HP)
|
100% |
115
9.14 IPS |
|
|
Object Detection (Q)
|
83% |
177
14.3 IPS |
|
|
Face Detection (SP)
|
100% |
275
3.27 IPS |
|
|
Face Detection (HP)
|
100% |
275
3.27 IPS |
|
|
Face Detection (Q)
|
95% |
465
5.55 IPS |
|
|
Depth Estimation (SP)
|
100% |
373
2.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
378
2.91 IPS |
|
|
Depth Estimation (Q)
|
64% |
390
3.57 IPS |
|
|
Style Transfer (SP)
|
89% |
922
1.20 IPS |
|
|
Style Transfer (HP)
|
89% |
940
1.22 IPS |
|
|
Style Transfer (Q)
|
98% |
903
1.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
172
6.34 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
168
6.21 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
221
8.17 IPS |
|
|
Text Classification (SP)
|
100% |
115
154.1 IPS |
|
|
Text Classification (HP)
|
100% |
108
144.1 IPS |
|
|
Text Classification (Q)
|
88% |
146
196.7 IPS |
|
|
Machine Translation (SP)
|
100% |
159
2.74 IPS |
|
|
Machine Translation (HP)
|
100% |
156
2.68 IPS |
|
|
Machine Translation (Q)
|
50% |
82
2.91 IPS |
