samsung SM-T225
Geekbench AI Score
223
Single Precision Score
216
Half Precision Score
258
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 11 2024 04:04 AM |
| 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% |
116
21.6 IPS |
|
|
Image Classification (Q)
|
100% |
166
30.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
147
2.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
150
2.44 IPS |
|
|
Image Segmentation (Q)
|
98% |
272
4.43 IPS |
|
|
Pose Estimation (SP)
|
100% |
509
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
529
0.62 IPS |
|
|
Pose Estimation (Q)
|
84% |
391
0.46 IPS |
|
|
Object Detection (SP)
|
100% |
114
9.04 IPS |
|
|
Object Detection (HP)
|
100% |
115
9.15 IPS |
|
|
Object Detection (Q)
|
83% |
174
14.1 IPS |
|
|
Face Detection (SP)
|
100% |
267
3.18 IPS |
|
|
Face Detection (HP)
|
100% |
275
3.26 IPS |
|
|
Face Detection (Q)
|
95% |
462
5.52 IPS |
|
|
Depth Estimation (SP)
|
100% |
388
2.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
275
2.12 IPS |
|
|
Depth Estimation (Q)
|
64% |
391
3.58 IPS |
|
|
Style Transfer (SP)
|
89% |
915
1.19 IPS |
|
|
Style Transfer (HP)
|
89% |
917
1.19 IPS |
|
|
Style Transfer (Q)
|
98% |
928
1.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
169
6.24 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
174
6.44 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
224
8.31 IPS |
|
|
Text Classification (SP)
|
100% |
113
151.3 IPS |
|
|
Text Classification (HP)
|
100% |
114
152.4 IPS |
|
|
Text Classification (Q)
|
88% |
139
187.9 IPS |
|
|
Machine Translation (SP)
|
100% |
164
2.82 IPS |
|
|
Machine Translation (HP)
|
100% |
159
2.75 IPS |
|
|
Machine Translation (Q)
|
50% |
84
2.98 IPS |
