Samsung Galaxy Tab A7
Geekbench AI Score
244
Single Precision Score
245
Half Precision Score
277
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 09 2025 02:25 AM |
| Views | 2 |
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% |
73
13.6 IPS |
|
|
Image Classification (HP)
|
100% |
97
18.0 IPS |
|
|
Image Classification (Q)
|
100% |
170
31.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
164
2.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
159
2.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
266
4.32 IPS |
|
|
Pose Estimation (SP)
|
100% |
626
0.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
611
0.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
505
0.60 IPS |
|
|
Object Detection (SP)
|
100% |
129
10.3 IPS |
|
|
Object Detection (HP)
|
100% |
126
10.0 IPS |
|
|
Object Detection (Q)
|
83% |
175
14.1 IPS |
|
|
Face Detection (SP)
|
100% |
314
3.73 IPS |
|
|
Face Detection (HP)
|
100% |
353
4.20 IPS |
|
|
Face Detection (Q)
|
95% |
508
6.07 IPS |
|
|
Depth Estimation (SP)
|
100% |
501
3.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
429
3.31 IPS |
|
|
Depth Estimation (Q)
|
64% |
552
5.05 IPS |
|
|
Style Transfer (SP)
|
89% |
1046
1.36 IPS |
|
|
Style Transfer (HP)
|
89% |
1032
1.34 IPS |
|
|
Style Transfer (Q)
|
98% |
1444
1.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
245
9.06 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
224
8.28 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
228
8.47 IPS |
|
|
Text Classification (SP)
|
100% |
118
157.0 IPS |
|
|
Text Classification (HP)
|
100% |
110
147.5 IPS |
|
|
Text Classification (Q)
|
88% |
95
128.5 IPS |
|
|
Machine Translation (SP)
|
100% |
168
2.89 IPS |
|
|
Machine Translation (HP)
|
100% |
172
2.96 IPS |
|
|
Machine Translation (Q)
|
50% |
78
2.76 IPS |
