Samsung Galaxy Tab S7
Geekbench AI Score
318
Single Precision Score
528
Half Precision Score
1057
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | swooned6444 |
| Upload Date | October 18 2025 03:08 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
413
76.8 IPS |
|
|
Image Classification (HP)
|
100% |
651
121.1 IPS |
|
|
Image Classification (Q)
|
97% |
752
140.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
477
7.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
218
3.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
770
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1599
1.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
5900
6.88 IPS |
|
|
Pose Estimation (Q)
|
97% |
11160
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
399
31.7 IPS |
|
|
Object Detection (HP)
|
100% |
166
13.2 IPS |
|
|
Object Detection (Q)
|
85% |
1258
101.2 IPS |
|
|
Face Detection (SP)
|
100% |
1010
12.0 IPS |
|
|
Face Detection (HP)
|
100% |
399
4.74 IPS |
|
|
Face Detection (Q)
|
97% |
3365
40.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
478
3.68 IPS |
|
|
Depth Estimation (HP)
|
99% |
330
2.55 IPS |
|
|
Depth Estimation (Q)
|
22% |
245
56.1 IPS |
|
|
Style Transfer (SP)
|
100% |
789
1.01 IPS |
|
|
Style Transfer (HP)
|
100% |
536
0.69 IPS |
|
|
Style Transfer (Q)
|
98% |
3623
4.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
768
28.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1860
68.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4483
166.1 IPS |
|
|
Text Classification (SP)
|
71% |
3
4.62 IPS |
|
|
Text Classification (HP)
|
100% |
246
328.7 IPS |
|
|
Text Classification (Q)
|
93% |
87
117.3 IPS |
|
|
Machine Translation (SP)
|
100% |
96
1.65 IPS |
|
|
Machine Translation (HP)
|
100% |
378
6.52 IPS |
|
|
Machine Translation (Q)
|
54% |
184
5.19 IPS |
