samsung SM-T220
Geekbench AI Score
134
Single Precision Score
127
Half Precision Score
152
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | March 23 2025 05:23 PM |
| Views | 7 |
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% |
75
13.9 IPS |
|
|
Image Classification (HP)
|
100% |
73
13.6 IPS |
|
|
Image Classification (Q)
|
100% |
124
23.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
89
1.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
91
1.48 IPS |
|
|
Image Segmentation (Q)
|
98% |
177
2.88 IPS |
|
|
Pose Estimation (SP)
|
100% |
336
0.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
329
0.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
251
0.30 IPS |
|
|
Object Detection (SP)
|
100% |
66
5.23 IPS |
|
|
Object Detection (HP)
|
100% |
58
4.57 IPS |
|
|
Object Detection (Q)
|
83% |
94
7.61 IPS |
|
|
Face Detection (SP)
|
100% |
173
2.05 IPS |
|
|
Face Detection (HP)
|
100% |
165
1.97 IPS |
|
|
Face Detection (Q)
|
95% |
266
3.18 IPS |
|
|
Depth Estimation (SP)
|
100% |
233
1.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
213
1.64 IPS |
|
|
Depth Estimation (Q)
|
64% |
215
1.97 IPS |
|
|
Style Transfer (SP)
|
89% |
559
0.73 IPS |
|
|
Style Transfer (HP)
|
89% |
566
0.74 IPS |
|
|
Style Transfer (Q)
|
98% |
572
0.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
96
3.55 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
95
3.51 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
117
4.34 IPS |
|
|
Text Classification (SP)
|
100% |
69
91.6 IPS |
|
|
Text Classification (HP)
|
100% |
55
73.8 IPS |
|
|
Text Classification (Q)
|
88% |
73
97.9 IPS |
|
|
Machine Translation (SP)
|
100% |
90
1.54 IPS |
|
|
Machine Translation (HP)
|
100% |
89
1.54 IPS |
|
|
Machine Translation (Q)
|
50% |
48
1.71 IPS |
