samsung SM-T225
Geekbench AI Score
235
Single Precision Score
234
Half Precision Score
281
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 04:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT8768WT |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-T225 |
| Model ID | samsung SM-T225 |
| 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% |
124
23.0 IPS |
|
|
Image Classification (HP)
|
100% |
124
23.1 IPS |
|
|
Image Classification (Q)
|
100% |
208
38.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
157
2.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
165
2.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
289
4.70 IPS |
|
|
Pose Estimation (SP)
|
100% |
565
0.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
559
0.65 IPS |
|
|
Pose Estimation (Q)
|
84% |
414
0.49 IPS |
|
|
Object Detection (SP)
|
100% |
113
8.97 IPS |
|
|
Object Detection (HP)
|
100% |
116
9.20 IPS |
|
|
Object Detection (Q)
|
83% |
191
15.5 IPS |
|
|
Face Detection (SP)
|
100% |
287
3.41 IPS |
|
|
Face Detection (HP)
|
100% |
286
3.40 IPS |
|
|
Face Detection (Q)
|
95% |
508
6.06 IPS |
|
|
Depth Estimation (SP)
|
100% |
407
3.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
380
2.93 IPS |
|
|
Depth Estimation (Q)
|
64% |
416
3.81 IPS |
|
|
Style Transfer (SP)
|
89% |
996
1.29 IPS |
|
|
Style Transfer (HP)
|
89% |
994
1.29 IPS |
|
|
Style Transfer (Q)
|
98% |
972
1.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
180
6.66 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
178
6.58 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
236
8.74 IPS |
|
|
Text Classification (SP)
|
100% |
120
159.7 IPS |
|
|
Text Classification (HP)
|
100% |
119
158.5 IPS |
|
|
Text Classification (Q)
|
88% |
154
207.6 IPS |
|
|
Machine Translation (SP)
|
100% |
167
2.87 IPS |
|
|
Machine Translation (HP)
|
100% |
166
2.86 IPS |
|
|
Machine Translation (Q)
|
50% |
87
3.07 IPS |
