samsung SM-T225
Geekbench AI Score
228
Single Precision Score
234
Half Precision Score
282
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 16 2024 10:15 AM |
| Views | 2 |
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% |
123
23.0 IPS |
|
|
Image Classification (HP)
|
100% |
124
23.1 IPS |
|
|
Image Classification (Q)
|
100% |
177
32.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
152
2.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
155
2.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
297
4.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
548
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
520
0.61 IPS |
|
|
Pose Estimation (Q)
|
84% |
413
0.49 IPS |
|
|
Object Detection (SP)
|
100% |
113
8.94 IPS |
|
|
Object Detection (HP)
|
100% |
126
9.99 IPS |
|
|
Object Detection (Q)
|
83% |
191
15.5 IPS |
|
|
Face Detection (SP)
|
100% |
287
3.41 IPS |
|
|
Face Detection (HP)
|
100% |
293
3.48 IPS |
|
|
Face Detection (Q)
|
95% |
512
6.11 IPS |
|
|
Depth Estimation (SP)
|
100% |
381
2.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
401
3.09 IPS |
|
|
Depth Estimation (Q)
|
64% |
426
3.91 IPS |
|
|
Style Transfer (SP)
|
89% |
971
1.26 IPS |
|
|
Style Transfer (HP)
|
89% |
1001
1.30 IPS |
|
|
Style Transfer (Q)
|
98% |
997
1.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
180
6.66 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
183
6.77 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
256
9.47 IPS |
|
|
Text Classification (SP)
|
100% |
105
140.0 IPS |
|
|
Text Classification (HP)
|
100% |
107
142.7 IPS |
|
|
Text Classification (Q)
|
88% |
159
214.5 IPS |
|
|
Machine Translation (SP)
|
100% |
166
2.86 IPS |
|
|
Machine Translation (HP)
|
100% |
172
2.96 IPS |
|
|
Machine Translation (Q)
|
50% |
89
3.16 IPS |
