Samsung Galaxy Tab S7
Geekbench AI Score
967
Single Precision Score
1590
Half Precision Score
1485
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | UsayedShahid |
| Upload Date | March 25 2026 04:15 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 865 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy Tab S7 |
| Model ID | samsung SM-T870 |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 3.09 GHz |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
670
124.6 IPS |
|
|
Image Classification (HP)
|
100% |
1047
194.7 IPS |
|
|
Image Classification (Q)
|
99% |
992
185.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1101
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1753
28.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1737
28.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4192
4.89 IPS |
|
|
Pose Estimation (HP)
|
99% |
7349
8.58 IPS |
|
|
Pose Estimation (Q)
|
97% |
7245
8.48 IPS |
|
|
Object Detection (SP)
|
100% |
605
48.0 IPS |
|
|
Object Detection (HP)
|
99% |
901
71.5 IPS |
|
|
Object Detection (Q)
|
85% |
859
69.1 IPS |
|
|
Face Detection (SP)
|
100% |
1886
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
3162
37.6 IPS |
|
|
Face Detection (Q)
|
97% |
2787
33.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2058
15.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
3091
23.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
2529
23.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5034
6.47 IPS |
|
|
Style Transfer (HP)
|
100% |
10443
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
10402
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1076
39.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1861
68.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1840
68.2 IPS |
|
|
Text Classification (SP)
|
35% |
34
329.9 IPS |
|
|
Text Classification (HP)
|
35% |
58
531.5 IPS |
|
|
Text Classification (Q)
|
35% |
57
520.8 IPS |
|
|
Machine Translation (SP)
|
100% |
535
9.21 IPS |
|
|
Machine Translation (HP)
|
97% |
775
13.4 IPS |
|
|
Machine Translation (Q)
|
64% |
634
13.0 IPS |
