samsung SM-T220
Geekbench AI Score
232
Single Precision Score
231
Half Precision Score
281
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 12 2024 12:42 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% |
130
24.2 IPS |
|
|
Image Classification (HP)
|
100% |
124
23.1 IPS |
|
|
Image Classification (Q)
|
100% |
199
37.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
162
2.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
162
2.62 IPS |
|
|
Image Segmentation (Q)
|
98% |
306
4.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
526
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
531
0.62 IPS |
|
|
Pose Estimation (Q)
|
84% |
418
0.50 IPS |
|
|
Object Detection (SP)
|
100% |
121
9.60 IPS |
|
|
Object Detection (HP)
|
100% |
121
9.56 IPS |
|
|
Object Detection (Q)
|
83% |
188
15.2 IPS |
|
|
Face Detection (SP)
|
100% |
283
3.36 IPS |
|
|
Face Detection (HP)
|
100% |
283
3.36 IPS |
|
|
Face Detection (Q)
|
95% |
496
5.92 IPS |
|
|
Depth Estimation (SP)
|
100% |
365
2.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
349
2.69 IPS |
|
|
Depth Estimation (Q)
|
64% |
419
3.84 IPS |
|
|
Style Transfer (SP)
|
89% |
989
1.28 IPS |
|
|
Style Transfer (HP)
|
89% |
1000
1.30 IPS |
|
|
Style Transfer (Q)
|
98% |
991
1.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
179
6.61 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
181
6.70 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
246
9.10 IPS |
|
|
Text Classification (SP)
|
100% |
114
151.8 IPS |
|
|
Text Classification (HP)
|
100% |
115
153.9 IPS |
|
|
Text Classification (Q)
|
88% |
144
193.9 IPS |
|
|
Machine Translation (SP)
|
100% |
167
2.88 IPS |
|
|
Machine Translation (HP)
|
100% |
169
2.90 IPS |
|
|
Machine Translation (Q)
|
50% |
88
3.14 IPS |
