samsung SM-T220
Geekbench AI Score
210
Single Precision Score
212
Half Precision Score
257
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 20 2025 07:11 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% |
101
18.9 IPS |
|
|
Image Classification (HP)
|
100% |
108
20.1 IPS |
|
|
Image Classification (Q)
|
100% |
165
30.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
147
2.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
143
2.31 IPS |
|
|
Image Segmentation (Q)
|
98% |
262
4.26 IPS |
|
|
Pose Estimation (SP)
|
100% |
504
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
519
0.61 IPS |
|
|
Pose Estimation (Q)
|
84% |
404
0.48 IPS |
|
|
Object Detection (SP)
|
100% |
113
8.94 IPS |
|
|
Object Detection (HP)
|
100% |
116
9.17 IPS |
|
|
Object Detection (Q)
|
83% |
183
14.8 IPS |
|
|
Face Detection (SP)
|
100% |
274
3.25 IPS |
|
|
Face Detection (HP)
|
100% |
281
3.33 IPS |
|
|
Face Detection (Q)
|
95% |
470
5.61 IPS |
|
|
Depth Estimation (SP)
|
100% |
366
2.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
383
2.95 IPS |
|
|
Depth Estimation (Q)
|
64% |
397
3.63 IPS |
|
|
Style Transfer (SP)
|
89% |
897
1.16 IPS |
|
|
Style Transfer (HP)
|
89% |
928
1.20 IPS |
|
|
Style Transfer (Q)
|
98% |
939
1.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
151
5.58 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
156
5.76 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
215
7.96 IPS |
|
|
Text Classification (SP)
|
100% |
109
145.7 IPS |
|
|
Text Classification (HP)
|
100% |
96
128.5 IPS |
|
|
Text Classification (Q)
|
88% |
144
194.7 IPS |
|
|
Machine Translation (SP)
|
100% |
137
2.37 IPS |
|
|
Machine Translation (HP)
|
100% |
137
2.35 IPS |
|
|
Machine Translation (Q)
|
50% |
75
2.66 IPS |
