Samsung Galaxy Tab A7
Geekbench AI Score
240
Single Precision Score
234
Half Precision Score
268
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 16 2025 04:51 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% |
119
22.1 IPS |
|
|
Image Classification (HP)
|
100% |
117
21.7 IPS |
|
|
Image Classification (Q)
|
100% |
186
34.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
151
2.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
146
2.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
269
4.37 IPS |
|
|
Pose Estimation (SP)
|
100% |
590
0.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
579
0.68 IPS |
|
|
Pose Estimation (Q)
|
84% |
463
0.55 IPS |
|
|
Object Detection (SP)
|
100% |
113
9.00 IPS |
|
|
Object Detection (HP)
|
100% |
112
8.90 IPS |
|
|
Object Detection (Q)
|
83% |
185
15.0 IPS |
|
|
Face Detection (SP)
|
100% |
323
3.84 IPS |
|
|
Face Detection (HP)
|
100% |
316
3.76 IPS |
|
|
Face Detection (Q)
|
95% |
479
5.72 IPS |
|
|
Depth Estimation (SP)
|
100% |
428
3.30 IPS |
|
|
Depth Estimation (HP)
|
99% |
413
3.18 IPS |
|
|
Depth Estimation (Q)
|
64% |
474
4.34 IPS |
|
|
Style Transfer (SP)
|
89% |
1116
1.45 IPS |
|
|
Style Transfer (HP)
|
89% |
1090
1.42 IPS |
|
|
Style Transfer (Q)
|
98% |
1239
1.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
224
8.29 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
223
8.24 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
203
7.52 IPS |
|
|
Text Classification (SP)
|
100% |
100
133.1 IPS |
|
|
Text Classification (HP)
|
100% |
96
127.9 IPS |
|
|
Text Classification (Q)
|
88% |
112
151.6 IPS |
|
|
Machine Translation (SP)
|
100% |
154
2.66 IPS |
|
|
Machine Translation (HP)
|
100% |
148
2.56 IPS |
|
|
Machine Translation (Q)
|
50% |
71
2.51 IPS |
