Samsung Galaxy Tab S7
Geekbench AI Score
267
Single Precision Score
269
Half Precision Score
998
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 18 2025 01:11 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
169
31.5 IPS |
|
|
Image Classification (HP)
|
100% |
171
31.8 IPS |
|
|
Image Classification (Q)
|
96% |
1143
213.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
217
3.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
219
3.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
1274
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
283
0.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
283
0.33 IPS |
|
|
Pose Estimation (Q)
|
96% |
13050
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
165
13.1 IPS |
|
|
Object Detection (HP)
|
100% |
167
13.2 IPS |
|
|
Object Detection (Q)
|
84% |
1216
98.0 IPS |
|
|
Face Detection (SP)
|
100% |
394
4.68 IPS |
|
|
Face Detection (HP)
|
100% |
398
4.73 IPS |
|
|
Face Detection (Q)
|
97% |
2127
25.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
331
2.55 IPS |
|
|
Depth Estimation (HP)
|
99% |
331
2.55 IPS |
|
|
Depth Estimation (Q)
|
64% |
5460
50.2 IPS |
|
|
Style Transfer (SP)
|
100% |
536
0.69 IPS |
|
|
Style Transfer (HP)
|
100% |
534
0.69 IPS |
|
|
Style Transfer (Q)
|
98% |
18355
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
164
6.05 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
164
6.06 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
650
24.1 IPS |
|
|
Text Classification (SP)
|
100% |
250
333.4 IPS |
|
|
Text Classification (HP)
|
100% |
251
334.9 IPS |
|
|
Text Classification (Q)
|
93% |
308
413.6 IPS |
|
|
Machine Translation (SP)
|
100% |
388
6.69 IPS |
|
|
Machine Translation (HP)
|
100% |
391
6.74 IPS |
|
|
Machine Translation (Q)
|
0% |
0
2.20 IPS |
