samsung SM-T220
Geekbench AI Score
235
Single Precision Score
235
Half Precision Score
281
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 09:56 AM |
| Views | 2 |
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% |
122
22.8 IPS |
|
|
Image Classification (HP)
|
100% |
123
22.9 IPS |
|
|
Image Classification (Q)
|
100% |
188
35.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
155
2.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
152
2.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
299
4.86 IPS |
|
|
Pose Estimation (SP)
|
100% |
550
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
529
0.62 IPS |
|
|
Pose Estimation (Q)
|
84% |
413
0.49 IPS |
|
|
Object Detection (SP)
|
100% |
121
9.61 IPS |
|
|
Object Detection (HP)
|
100% |
122
9.71 IPS |
|
|
Object Detection (Q)
|
83% |
189
15.3 IPS |
|
|
Face Detection (SP)
|
100% |
288
3.43 IPS |
|
|
Face Detection (HP)
|
100% |
288
3.42 IPS |
|
|
Face Detection (Q)
|
95% |
509
6.08 IPS |
|
|
Depth Estimation (SP)
|
100% |
409
3.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
379
2.92 IPS |
|
|
Depth Estimation (Q)
|
64% |
423
3.87 IPS |
|
|
Style Transfer (SP)
|
89% |
1000
1.30 IPS |
|
|
Style Transfer (HP)
|
89% |
996
1.29 IPS |
|
|
Style Transfer (Q)
|
98% |
982
1.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
164
6.06 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
193
7.13 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
255
9.46 IPS |
|
|
Text Classification (SP)
|
100% |
127
169.2 IPS |
|
|
Text Classification (HP)
|
100% |
124
165.1 IPS |
|
|
Text Classification (Q)
|
88% |
151
203.2 IPS |
|
|
Machine Translation (SP)
|
100% |
173
2.98 IPS |
|
|
Machine Translation (HP)
|
100% |
165
2.85 IPS |
|
|
Machine Translation (Q)
|
50% |
89
3.17 IPS |
