Samsung Galaxy Tab A7
Geekbench AI Score
300
Single Precision Score
299
Half Precision Score
350
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | patrickvdd |
| Upload Date | February 24 2025 09:01 PM |
| Views | 5 |
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% |
150
27.9 IPS |
|
|
Image Classification (HP)
|
100% |
153
28.4 IPS |
|
|
Image Classification (Q)
|
100% |
229
42.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
192
3.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
193
3.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
310
5.04 IPS |
|
|
Pose Estimation (SP)
|
100% |
724
0.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
709
0.83 IPS |
|
|
Pose Estimation (Q)
|
84% |
564
0.67 IPS |
|
|
Object Detection (SP)
|
100% |
156
12.4 IPS |
|
|
Object Detection (HP)
|
100% |
158
12.5 IPS |
|
|
Object Detection (Q)
|
83% |
235
19.0 IPS |
|
|
Face Detection (SP)
|
100% |
357
4.25 IPS |
|
|
Face Detection (HP)
|
100% |
364
4.32 IPS |
|
|
Face Detection (Q)
|
95% |
625
7.46 IPS |
|
|
Depth Estimation (SP)
|
100% |
512
3.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
511
3.94 IPS |
|
|
Depth Estimation (Q)
|
64% |
564
5.16 IPS |
|
|
Style Transfer (SP)
|
89% |
1282
1.66 IPS |
|
|
Style Transfer (HP)
|
89% |
1291
1.68 IPS |
|
|
Style Transfer (Q)
|
98% |
1618
2.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
268
9.89 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
252
9.29 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
320
11.9 IPS |
|
|
Text Classification (SP)
|
100% |
154
205.0 IPS |
|
|
Text Classification (HP)
|
100% |
147
195.8 IPS |
|
|
Text Classification (Q)
|
88% |
169
227.8 IPS |
|
|
Machine Translation (SP)
|
100% |
194
3.33 IPS |
|
|
Machine Translation (HP)
|
100% |
195
3.37 IPS |
|
|
Machine Translation (Q)
|
50% |
97
3.46 IPS |
