samsung SM-T225N
Geekbench AI Score
200
Single Precision Score
195
Half Precision Score
241
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Willbeonekenobi |
| Upload Date | November 13 2025 08:22 AM |
| Views | 3 |
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% |
106
19.7 IPS |
|
|
Image Classification (HP)
|
100% |
103
19.2 IPS |
|
|
Image Classification (Q)
|
100% |
163
30.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
136
2.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
145
2.35 IPS |
|
|
Image Segmentation (Q)
|
98% |
251
4.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
455
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
461
0.54 IPS |
|
|
Pose Estimation (Q)
|
84% |
382
0.45 IPS |
|
|
Object Detection (SP)
|
100% |
103
8.19 IPS |
|
|
Object Detection (HP)
|
100% |
97
7.72 IPS |
|
|
Object Detection (Q)
|
83% |
164
13.3 IPS |
|
|
Face Detection (SP)
|
100% |
257
3.06 IPS |
|
|
Face Detection (HP)
|
100% |
245
2.91 IPS |
|
|
Face Detection (Q)
|
95% |
433
5.17 IPS |
|
|
Depth Estimation (SP)
|
100% |
337
2.59 IPS |
|
|
Depth Estimation (HP)
|
99% |
311
2.40 IPS |
|
|
Depth Estimation (Q)
|
64% |
377
3.45 IPS |
|
|
Style Transfer (SP)
|
89% |
864
1.12 IPS |
|
|
Style Transfer (HP)
|
89% |
865
1.12 IPS |
|
|
Style Transfer (Q)
|
98% |
896
1.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
153
5.66 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
147
5.44 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
198
7.32 IPS |
|
|
Text Classification (SP)
|
100% |
95
126.8 IPS |
|
|
Text Classification (HP)
|
100% |
98
130.8 IPS |
|
|
Text Classification (Q)
|
88% |
129
174.7 IPS |
|
|
Machine Translation (SP)
|
100% |
140
2.41 IPS |
|
|
Machine Translation (HP)
|
100% |
128
2.20 IPS |
|
|
Machine Translation (Q)
|
50% |
71
2.53 IPS |
