Samsung Galaxy Tab S7 FE
Geekbench AI Score
506
Single Precision Score
323
Half Precision Score
1037
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | csoltenborn |
| Upload Date | November 29 2025 03:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 778G |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy Tab S7 FE |
| Model ID | samsung SM-T733 |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 3.31 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
268
49.8 IPS |
|
|
Image Classification (HP)
|
100% |
158
29.3 IPS |
|
|
Image Classification (Q)
|
100% |
744
138.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
328
5.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
177
2.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
895
14.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1289
1.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
671
0.78 IPS |
|
|
Pose Estimation (Q)
|
84% |
1941
2.30 IPS |
|
|
Object Detection (SP)
|
100% |
251
19.9 IPS |
|
|
Object Detection (HP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (Q)
|
83% |
744
60.1 IPS |
|
|
Face Detection (SP)
|
100% |
751
8.92 IPS |
|
|
Face Detection (HP)
|
100% |
363
4.32 IPS |
|
|
Face Detection (Q)
|
95% |
1730
20.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1016
7.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
492
3.79 IPS |
|
|
Depth Estimation (Q)
|
64% |
1730
15.8 IPS |
|
|
Style Transfer (SP)
|
89% |
1166
1.51 IPS |
|
|
Style Transfer (HP)
|
89% |
1231
1.60 IPS |
|
|
Style Transfer (Q)
|
98% |
4517
5.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
560
20.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
295
10.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1053
39.0 IPS |
|
|
Text Classification (SP)
|
100% |
224
298.6 IPS |
|
|
Text Classification (HP)
|
100% |
184
245.2 IPS |
|
|
Text Classification (Q)
|
88% |
439
591.9 IPS |
|
|
Machine Translation (SP)
|
100% |
353
6.08 IPS |
|
|
Machine Translation (HP)
|
100% |
346
5.97 IPS |
|
|
Machine Translation (Q)
|
50% |
240
8.50 IPS |
