Samsung Galaxy Tab S7
Geekbench AI Score
941
Single Precision Score
1509
Half Precision Score
1390
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | swooned6444 |
| Upload Date | October 18 2025 03:18 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 865 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 5.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
671
124.8 IPS |
|
|
Image Classification (HP)
|
100% |
970
180.4 IPS |
|
|
Image Classification (Q)
|
99% |
892
166.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1082
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1680
27.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1554
25.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4225
4.93 IPS |
|
|
Pose Estimation (HP)
|
99% |
7426
8.67 IPS |
|
|
Pose Estimation (Q)
|
97% |
7287
8.53 IPS |
|
|
Object Detection (SP)
|
100% |
578
45.9 IPS |
|
|
Object Detection (HP)
|
99% |
835
66.2 IPS |
|
|
Object Detection (Q)
|
85% |
816
65.6 IPS |
|
|
Face Detection (SP)
|
100% |
1828
21.7 IPS |
|
|
Face Detection (HP)
|
100% |
2974
35.3 IPS |
|
|
Face Detection (Q)
|
97% |
2657
31.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2050
15.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3075
23.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
2535
23.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5049
6.49 IPS |
|
|
Style Transfer (HP)
|
100% |
10418
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
10349
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1056
39.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1769
65.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1786
66.2 IPS |
|
|
Text Classification (SP)
|
35% |
31
303.1 IPS |
|
|
Text Classification (HP)
|
35% |
51
459.4 IPS |
|
|
Text Classification (Q)
|
35% |
48
439.7 IPS |
|
|
Machine Translation (SP)
|
100% |
499
8.60 IPS |
|
|
Machine Translation (HP)
|
97% |
705
12.2 IPS |
|
|
Machine Translation (Q)
|
64% |
550
11.3 IPS |
