Samsung Galaxy Tab S6
Geekbench AI Score
552
Single Precision Score
498
Half Precision Score
964
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | plusterkopp |
| Upload Date | December 04 2025 09:04 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 855 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Samsung Galaxy Tab S6 |
| Model ID | samsung SM-T865 |
| Motherboard | msmnile |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 5.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
287
53.5 IPS |
|
|
Image Classification (HP)
|
100% |
336
62.5 IPS |
|
|
Image Classification (Q)
|
100% |
920
171.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
397
6.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
374
6.06 IPS |
|
|
Image Segmentation (Q)
|
98% |
560
9.11 IPS |
|
|
Pose Estimation (SP)
|
100% |
1199
1.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
837
0.98 IPS |
|
|
Pose Estimation (Q)
|
84% |
1781
2.11 IPS |
|
|
Object Detection (SP)
|
100% |
199
15.8 IPS |
|
|
Object Detection (HP)
|
100% |
191
15.2 IPS |
|
|
Object Detection (Q)
|
83% |
621
50.1 IPS |
|
|
Face Detection (SP)
|
100% |
749
8.91 IPS |
|
|
Face Detection (HP)
|
100% |
839
9.98 IPS |
|
|
Face Detection (Q)
|
95% |
1926
23.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1097
8.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
907
6.98 IPS |
|
|
Depth Estimation (Q)
|
64% |
2047
18.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2412
3.13 IPS |
|
|
Style Transfer (HP)
|
89% |
2348
3.05 IPS |
|
|
Style Transfer (Q)
|
98% |
5016
6.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
593
21.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
360
13.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
610
22.6 IPS |
|
|
Text Classification (SP)
|
100% |
203
270.7 IPS |
|
|
Text Classification (HP)
|
100% |
184
246.0 IPS |
|
|
Text Classification (Q)
|
88% |
438
591.0 IPS |
|
|
Machine Translation (SP)
|
100% |
407
7.01 IPS |
|
|
Machine Translation (HP)
|
100% |
401
6.91 IPS |
|
|
Machine Translation (Q)
|
50% |
232
8.25 IPS |
