samsung SM-T225N
Geekbench AI Score
213
Single Precision Score
205
Half Precision Score
248
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 07:14 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT8768WT |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-T225N |
| Model ID | samsung SM-T225N |
| 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 | 2.69 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
109
20.3 IPS |
|
|
Image Classification (HP)
|
100% |
106
19.8 IPS |
|
|
Image Classification (Q)
|
100% |
165
30.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
138
2.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
140
2.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
252
4.11 IPS |
|
|
Pose Estimation (SP)
|
100% |
484
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
443
0.52 IPS |
|
|
Pose Estimation (Q)
|
84% |
346
0.41 IPS |
|
|
Object Detection (SP)
|
100% |
110
8.73 IPS |
|
|
Object Detection (HP)
|
100% |
109
8.62 IPS |
|
|
Object Detection (Q)
|
83% |
165
13.4 IPS |
|
|
Face Detection (SP)
|
100% |
251
2.99 IPS |
|
|
Face Detection (HP)
|
100% |
249
2.96 IPS |
|
|
Face Detection (Q)
|
95% |
463
5.52 IPS |
|
|
Depth Estimation (SP)
|
100% |
379
2.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
311
2.39 IPS |
|
|
Depth Estimation (Q)
|
64% |
385
3.52 IPS |
|
|
Style Transfer (SP)
|
89% |
903
1.17 IPS |
|
|
Style Transfer (HP)
|
89% |
910
1.18 IPS |
|
|
Style Transfer (Q)
|
98% |
867
1.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
152
5.60 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
154
5.68 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
212
7.85 IPS |
|
|
Text Classification (SP)
|
100% |
115
153.7 IPS |
|
|
Text Classification (HP)
|
100% |
110
146.7 IPS |
|
|
Text Classification (Q)
|
88% |
138
185.5 IPS |
|
|
Machine Translation (SP)
|
100% |
164
2.83 IPS |
|
|
Machine Translation (HP)
|
100% |
158
2.71 IPS |
|
|
Machine Translation (Q)
|
50% |
84
2.96 IPS |
