samsung SM-T220
Geekbench AI Score
223
Single Precision Score
228
Half Precision Score
275
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | October 15 2024 11:16 AM |
| Views | 15 |
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% |
108
20.0 IPS |
|
|
Image Classification (HP)
|
100% |
121
22.6 IPS |
|
|
Image Classification (Q)
|
100% |
180
33.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
156
2.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
168
2.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
276
4.48 IPS |
|
|
Pose Estimation (SP)
|
100% |
518
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
522
0.61 IPS |
|
|
Pose Estimation (Q)
|
84% |
426
0.51 IPS |
|
|
Object Detection (SP)
|
100% |
110
8.74 IPS |
|
|
Object Detection (HP)
|
100% |
118
9.37 IPS |
|
|
Object Detection (Q)
|
83% |
185
15.0 IPS |
|
|
Face Detection (SP)
|
100% |
266
3.16 IPS |
|
|
Face Detection (HP)
|
100% |
277
3.30 IPS |
|
|
Face Detection (Q)
|
95% |
484
5.77 IPS |
|
|
Depth Estimation (SP)
|
100% |
411
3.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
412
3.18 IPS |
|
|
Depth Estimation (Q)
|
64% |
419
3.84 IPS |
|
|
Style Transfer (SP)
|
89% |
963
1.25 IPS |
|
|
Style Transfer (HP)
|
89% |
958
1.24 IPS |
|
|
Style Transfer (Q)
|
98% |
982
1.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
161
5.94 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
165
6.10 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
253
9.39 IPS |
|
|
Text Classification (SP)
|
100% |
118
157.2 IPS |
|
|
Text Classification (HP)
|
100% |
112
149.7 IPS |
|
|
Text Classification (Q)
|
88% |
147
198.1 IPS |
|
|
Machine Translation (SP)
|
100% |
160
2.76 IPS |
|
|
Machine Translation (HP)
|
100% |
153
2.64 IPS |
|
|
Machine Translation (Q)
|
50% |
86
3.05 IPS |
