Samsung Galaxy Tab A7
Geekbench AI Score
223
Single Precision Score
224
Half Precision Score
248
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 12:32 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 662 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Samsung Galaxy Tab A7 |
| Model ID | samsung SM-T500 |
| Motherboard | bengal |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 10 part 2048 revision 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.02 GHz |
| Memory Information | |
|---|---|
| Size | 2.64 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
111
20.7 IPS |
|
|
Image Classification (HP)
|
100% |
109
20.2 IPS |
|
|
Image Classification (Q)
|
100% |
174
32.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
147
2.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
148
2.39 IPS |
|
|
Image Segmentation (Q)
|
98% |
252
4.10 IPS |
|
|
Pose Estimation (SP)
|
100% |
557
0.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
565
0.66 IPS |
|
|
Pose Estimation (Q)
|
84% |
382
0.45 IPS |
|
|
Object Detection (SP)
|
100% |
117
9.28 IPS |
|
|
Object Detection (HP)
|
100% |
116
9.19 IPS |
|
|
Object Detection (Q)
|
83% |
174
14.0 IPS |
|
|
Face Detection (SP)
|
100% |
276
3.28 IPS |
|
|
Face Detection (HP)
|
100% |
280
3.33 IPS |
|
|
Face Detection (Q)
|
95% |
472
5.63 IPS |
|
|
Depth Estimation (SP)
|
100% |
395
3.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
399
3.08 IPS |
|
|
Depth Estimation (Q)
|
64% |
393
3.60 IPS |
|
|
Style Transfer (SP)
|
89% |
984
1.28 IPS |
|
|
Style Transfer (HP)
|
89% |
1018
1.32 IPS |
|
|
Style Transfer (Q)
|
98% |
931
1.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
187
6.89 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
184
6.80 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
220
8.16 IPS |
|
|
Text Classification (SP)
|
100% |
99
132.3 IPS |
|
|
Text Classification (HP)
|
100% |
99
132.3 IPS |
|
|
Text Classification (Q)
|
88% |
114
153.8 IPS |
|
|
Machine Translation (SP)
|
100% |
150
2.59 IPS |
|
|
Machine Translation (HP)
|
100% |
149
2.56 IPS |
|
|
Machine Translation (Q)
|
50% |
72
2.56 IPS |
