samsung SM-T227U
Geekbench AI Score
234
Single Precision Score
233
Half Precision Score
281
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | pawelknyc |
| Upload Date | January 20 2025 05:02 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT8768WT |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-T227U |
| Model ID | samsung SM-T227U |
| Motherboard | gta7lite |
| 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 | 2.67 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
122
22.6 IPS |
|
|
Image Classification (HP)
|
100% |
123
22.8 IPS |
|
|
Image Classification (Q)
|
100% |
190
35.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
161
2.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
162
2.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
300
4.88 IPS |
|
|
Pose Estimation (SP)
|
100% |
540
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
542
0.63 IPS |
|
|
Pose Estimation (Q)
|
84% |
412
0.49 IPS |
|
|
Object Detection (SP)
|
100% |
116
9.17 IPS |
|
|
Object Detection (HP)
|
100% |
120
9.51 IPS |
|
|
Object Detection (Q)
|
83% |
190
15.4 IPS |
|
|
Face Detection (SP)
|
100% |
284
3.37 IPS |
|
|
Face Detection (HP)
|
100% |
288
3.43 IPS |
|
|
Face Detection (Q)
|
95% |
509
6.08 IPS |
|
|
Depth Estimation (SP)
|
100% |
397
3.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
345
2.66 IPS |
|
|
Depth Estimation (Q)
|
64% |
425
3.89 IPS |
|
|
Style Transfer (SP)
|
89% |
962
1.25 IPS |
|
|
Style Transfer (HP)
|
89% |
1000
1.30 IPS |
|
|
Style Transfer (Q)
|
98% |
971
1.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
183
6.75 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
182
6.71 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
249
9.22 IPS |
|
|
Text Classification (SP)
|
100% |
122
163.2 IPS |
|
|
Text Classification (HP)
|
100% |
124
165.4 IPS |
|
|
Text Classification (Q)
|
88% |
148
199.9 IPS |
|
|
Machine Translation (SP)
|
100% |
168
2.89 IPS |
|
|
Machine Translation (HP)
|
100% |
168
2.89 IPS |
|
|
Machine Translation (Q)
|
50% |
89
3.16 IPS |
