samsung SM-T220
Geekbench AI Score
231
Single Precision Score
229
Half Precision Score
270
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | October 05 2024 10:16 AM |
| Views | 6 |
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% |
124
23.1 IPS |
|
|
Image Classification (HP)
|
100% |
122
22.6 IPS |
|
|
Image Classification (Q)
|
100% |
170
31.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
159
2.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
145
2.35 IPS |
|
|
Image Segmentation (Q)
|
98% |
285
4.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
533
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
552
0.64 IPS |
|
|
Pose Estimation (Q)
|
84% |
421
0.50 IPS |
|
|
Object Detection (SP)
|
100% |
122
9.69 IPS |
|
|
Object Detection (HP)
|
100% |
122
9.67 IPS |
|
|
Object Detection (Q)
|
83% |
193
15.6 IPS |
|
|
Face Detection (SP)
|
100% |
296
3.51 IPS |
|
|
Face Detection (HP)
|
100% |
284
3.38 IPS |
|
|
Face Detection (Q)
|
95% |
504
6.02 IPS |
|
|
Depth Estimation (SP)
|
100% |
375
2.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
376
2.89 IPS |
|
|
Depth Estimation (Q)
|
64% |
409
3.74 IPS |
|
|
Style Transfer (SP)
|
89% |
973
1.26 IPS |
|
|
Style Transfer (HP)
|
89% |
972
1.26 IPS |
|
|
Style Transfer (Q)
|
98% |
962
1.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
160
5.90 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
164
6.04 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
240
8.90 IPS |
|
|
Text Classification (SP)
|
100% |
125
167.2 IPS |
|
|
Text Classification (HP)
|
100% |
122
162.9 IPS |
|
|
Text Classification (Q)
|
88% |
135
182.6 IPS |
|
|
Machine Translation (SP)
|
100% |
162
2.79 IPS |
|
|
Machine Translation (HP)
|
100% |
161
2.78 IPS |
|
|
Machine Translation (Q)
|
50% |
83
2.96 IPS |
