samsung SM-T220
Geekbench AI Score
196
Single Precision Score
198
Half Precision Score
246
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 03:17 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT8768WT |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-T220 |
| Model ID | samsung SM-T220 |
| Motherboard | gta7litewifi |
| 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 | 2.79 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
92
17.0 IPS |
|
|
Image Classification (HP)
|
100% |
81
15.1 IPS |
|
|
Image Classification (Q)
|
100% |
145
27.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
115
1.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
136
2.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
230
3.74 IPS |
|
|
Pose Estimation (SP)
|
100% |
487
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
495
0.58 IPS |
|
|
Pose Estimation (Q)
|
84% |
373
0.44 IPS |
|
|
Object Detection (SP)
|
100% |
104
8.23 IPS |
|
|
Object Detection (HP)
|
100% |
102
8.07 IPS |
|
|
Object Detection (Q)
|
83% |
174
14.1 IPS |
|
|
Face Detection (SP)
|
100% |
253
3.00 IPS |
|
|
Face Detection (HP)
|
100% |
268
3.18 IPS |
|
|
Face Detection (Q)
|
95% |
474
5.66 IPS |
|
|
Depth Estimation (SP)
|
100% |
350
2.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
335
2.58 IPS |
|
|
Depth Estimation (Q)
|
64% |
380
3.48 IPS |
|
|
Style Transfer (SP)
|
89% |
933
1.21 IPS |
|
|
Style Transfer (HP)
|
89% |
853
1.11 IPS |
|
|
Style Transfer (Q)
|
98% |
909
1.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
155
5.73 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
159
5.87 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
229
8.48 IPS |
|
|
Text Classification (SP)
|
100% |
90
120.0 IPS |
|
|
Text Classification (HP)
|
100% |
92
123.0 IPS |
|
|
Text Classification (Q)
|
88% |
135
182.7 IPS |
|
|
Machine Translation (SP)
|
100% |
140
2.42 IPS |
|
|
Machine Translation (HP)
|
100% |
152
2.62 IPS |
|
|
Machine Translation (Q)
|
50% |
77
2.73 IPS |
