Samsung Galaxy Tab S7
Geekbench AI Score
734
Single Precision Score
728
Half Precision Score
1382
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 17 2025 12:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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 | 5.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
499
92.9 IPS |
|
|
Image Classification (HP)
|
100% |
522
97.1 IPS |
|
|
Image Classification (Q)
|
100% |
1516
281.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
658
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
641
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1708
27.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2074
2.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
1967
2.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
3492
4.14 IPS |
|
|
Object Detection (SP)
|
100% |
478
38.0 IPS |
|
|
Object Detection (HP)
|
100% |
476
37.7 IPS |
|
|
Object Detection (Q)
|
83% |
1328
107.3 IPS |
|
|
Face Detection (SP)
|
100% |
1509
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
1489
17.7 IPS |
|
|
Face Detection (Q)
|
95% |
3308
39.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1957
15.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1913
14.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3150
28.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3516
4.56 IPS |
|
|
Style Transfer (HP)
|
89% |
3652
4.74 IPS |
|
|
Style Transfer (Q)
|
98% |
7894
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
297
11.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
292
10.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
651
24.1 IPS |
|
|
Text Classification (SP)
|
100% |
170
227.5 IPS |
|
|
Text Classification (HP)
|
100% |
165
220.0 IPS |
|
|
Text Classification (Q)
|
88% |
253
341.5 IPS |
|
|
Machine Translation (SP)
|
100% |
269
4.63 IPS |
|
|
Machine Translation (HP)
|
100% |
267
4.61 IPS |
|
|
Machine Translation (Q)
|
50% |
157
5.58 IPS |
