samsung SM-T220
Geekbench AI Score
232
Single Precision Score
229
Half Precision Score
281
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | October 27 2024 10:23 AM |
| Views | 5 |
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
23.0 IPS |
|
|
Image Classification (HP)
|
100% |
129
24.1 IPS |
|
|
Image Classification (Q)
|
100% |
193
35.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
160
2.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
156
2.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
288
4.69 IPS |
|
|
Pose Estimation (SP)
|
100% |
527
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
529
0.62 IPS |
|
|
Pose Estimation (Q)
|
84% |
431
0.51 IPS |
|
|
Object Detection (SP)
|
100% |
119
9.45 IPS |
|
|
Object Detection (HP)
|
100% |
120
9.48 IPS |
|
|
Object Detection (Q)
|
83% |
194
15.6 IPS |
|
|
Face Detection (SP)
|
100% |
290
3.44 IPS |
|
|
Face Detection (HP)
|
100% |
294
3.50 IPS |
|
|
Face Detection (Q)
|
95% |
520
6.21 IPS |
|
|
Depth Estimation (SP)
|
100% |
356
2.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
380
2.92 IPS |
|
|
Depth Estimation (Q)
|
64% |
424
3.89 IPS |
|
|
Style Transfer (SP)
|
89% |
978
1.27 IPS |
|
|
Style Transfer (HP)
|
89% |
953
1.24 IPS |
|
|
Style Transfer (Q)
|
98% |
997
1.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
176
6.51 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
169
6.24 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
266
9.86 IPS |
|
|
Text Classification (SP)
|
100% |
121
161.1 IPS |
|
|
Text Classification (HP)
|
100% |
107
142.9 IPS |
|
|
Text Classification (Q)
|
88% |
137
184.4 IPS |
|
|
Machine Translation (SP)
|
100% |
169
2.91 IPS |
|
|
Machine Translation (HP)
|
100% |
163
2.82 IPS |
|
|
Machine Translation (Q)
|
50% |
85
3.02 IPS |
