samsung SM-T227U
Geekbench AI Score
222
Single Precision Score
221
Half Precision Score
265
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 26 2025 01:34 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT8768WT |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-T227U |
| Model ID | samsung SM-T227U |
| Motherboard | gta7lite |
| 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 | 2.67 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
116
21.6 IPS |
|
|
Image Classification (HP)
|
100% |
111
20.7 IPS |
|
|
Image Classification (Q)
|
100% |
188
35.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
149
2.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
155
2.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
272
4.43 IPS |
|
|
Pose Estimation (SP)
|
100% |
536
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
512
0.60 IPS |
|
|
Pose Estimation (Q)
|
84% |
403
0.48 IPS |
|
|
Object Detection (SP)
|
100% |
110
8.71 IPS |
|
|
Object Detection (HP)
|
100% |
113
8.98 IPS |
|
|
Object Detection (Q)
|
83% |
165
13.4 IPS |
|
|
Face Detection (SP)
|
100% |
268
3.18 IPS |
|
|
Face Detection (HP)
|
100% |
263
3.12 IPS |
|
|
Face Detection (Q)
|
95% |
448
5.35 IPS |
|
|
Depth Estimation (SP)
|
100% |
363
2.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
377
2.91 IPS |
|
|
Depth Estimation (Q)
|
64% |
401
3.67 IPS |
|
|
Style Transfer (SP)
|
89% |
953
1.24 IPS |
|
|
Style Transfer (HP)
|
89% |
952
1.24 IPS |
|
|
Style Transfer (Q)
|
98% |
951
1.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
174
6.43 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
162
5.97 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
238
8.83 IPS |
|
|
Text Classification (SP)
|
100% |
111
148.5 IPS |
|
|
Text Classification (HP)
|
100% |
115
153.0 IPS |
|
|
Text Classification (Q)
|
88% |
148
200.1 IPS |
|
|
Machine Translation (SP)
|
100% |
163
2.80 IPS |
|
|
Machine Translation (HP)
|
100% |
161
2.78 IPS |
|
|
Machine Translation (Q)
|
50% |
84
2.97 IPS |
