samsung SM-T227U
Geekbench AI Score
222
Single Precision Score
215
Half Precision Score
260
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 21 2024 07:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT8768WT |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-T227U |
| Model ID | samsung SM-T227U |
| 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 | 2.67 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
120
22.3 IPS |
|
|
Image Classification (HP)
|
100% |
115
21.4 IPS |
|
|
Image Classification (Q)
|
100% |
182
33.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
151
2.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
151
2.45 IPS |
|
|
Image Segmentation (Q)
|
98% |
274
4.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
508
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
509
0.59 IPS |
|
|
Pose Estimation (Q)
|
84% |
395
0.47 IPS |
|
|
Object Detection (SP)
|
100% |
110
8.70 IPS |
|
|
Object Detection (HP)
|
100% |
112
8.89 IPS |
|
|
Object Detection (Q)
|
83% |
175
14.1 IPS |
|
|
Face Detection (SP)
|
100% |
275
3.27 IPS |
|
|
Face Detection (HP)
|
100% |
274
3.26 IPS |
|
|
Face Detection (Q)
|
95% |
458
5.47 IPS |
|
|
Depth Estimation (SP)
|
100% |
381
2.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
280
2.16 IPS |
|
|
Depth Estimation (Q)
|
64% |
389
3.57 IPS |
|
|
Style Transfer (SP)
|
89% |
933
1.21 IPS |
|
|
Style Transfer (HP)
|
89% |
930
1.21 IPS |
|
|
Style Transfer (Q)
|
98% |
923
1.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
174
6.42 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
172
6.34 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
206
7.65 IPS |
|
|
Text Classification (SP)
|
100% |
105
140.6 IPS |
|
|
Text Classification (HP)
|
100% |
115
153.9 IPS |
|
|
Text Classification (Q)
|
88% |
145
195.2 IPS |
|
|
Machine Translation (SP)
|
100% |
163
2.81 IPS |
|
|
Machine Translation (HP)
|
100% |
158
2.73 IPS |
|
|
Machine Translation (Q)
|
50% |
85
3.01 IPS |
