samsung SM-T227U
Geekbench AI Score
216
Single Precision Score
221
Half Precision Score
269
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | pawelknyc |
| Upload Date | January 20 2025 04:51 PM |
| Views | 7 |
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% |
126
23.4 IPS |
|
|
Image Classification (HP)
|
100% |
114
21.2 IPS |
|
|
Image Classification (Q)
|
100% |
182
33.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
144
2.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
148
2.40 IPS |
|
|
Image Segmentation (Q)
|
98% |
271
4.40 IPS |
|
|
Pose Estimation (SP)
|
100% |
519
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
519
0.61 IPS |
|
|
Pose Estimation (Q)
|
84% |
411
0.49 IPS |
|
|
Object Detection (SP)
|
100% |
113
8.94 IPS |
|
|
Object Detection (HP)
|
100% |
113
8.98 IPS |
|
|
Object Detection (Q)
|
83% |
183
14.8 IPS |
|
|
Face Detection (SP)
|
100% |
268
3.18 IPS |
|
|
Face Detection (HP)
|
100% |
271
3.22 IPS |
|
|
Face Detection (Q)
|
95% |
486
5.80 IPS |
|
|
Depth Estimation (SP)
|
100% |
277
2.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
362
2.79 IPS |
|
|
Depth Estimation (Q)
|
64% |
399
3.65 IPS |
|
|
Style Transfer (SP)
|
89% |
948
1.23 IPS |
|
|
Style Transfer (HP)
|
89% |
964
1.25 IPS |
|
|
Style Transfer (Q)
|
98% |
927
1.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
177
6.52 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
171
6.31 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
242
8.98 IPS |
|
|
Text Classification (SP)
|
100% |
106
141.7 IPS |
|
|
Text Classification (HP)
|
100% |
116
154.8 IPS |
|
|
Text Classification (Q)
|
88% |
150
202.2 IPS |
|
|
Machine Translation (SP)
|
100% |
162
2.79 IPS |
|
|
Machine Translation (HP)
|
100% |
155
2.67 IPS |
|
|
Machine Translation (Q)
|
50% |
84
2.99 IPS |
