Samsung Galaxy Tab S6
Geekbench AI Score
595
Single Precision Score
620
Half Precision Score
1200
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | gbirkin |
| Upload Date | July 02 2025 04:09 PM |
| Views | 5 |
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% |
298
55.5 IPS |
|
|
Image Classification (HP)
|
100% |
257
47.8 IPS |
|
|
Image Classification (Q)
|
100% |
723
134.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
311
5.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
389
6.31 IPS |
|
|
Image Segmentation (Q)
|
98% |
1141
18.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1258
1.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
1330
1.55 IPS |
|
|
Pose Estimation (Q)
|
84% |
2078
2.46 IPS |
|
|
Object Detection (SP)
|
100% |
298
23.6 IPS |
|
|
Object Detection (HP)
|
100% |
262
20.8 IPS |
|
|
Object Detection (Q)
|
83% |
875
70.7 IPS |
|
|
Face Detection (SP)
|
100% |
1089
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
1061
12.6 IPS |
|
|
Face Detection (Q)
|
95% |
1850
22.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1015
7.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
1192
9.18 IPS |
|
|
Depth Estimation (Q)
|
64% |
2155
19.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2242
2.91 IPS |
|
|
Style Transfer (HP)
|
89% |
2252
2.92 IPS |
|
|
Style Transfer (Q)
|
98% |
5111
6.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
458
16.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
651
24.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1079
40.0 IPS |
|
|
Text Classification (SP)
|
100% |
275
367.0 IPS |
|
|
Text Classification (HP)
|
100% |
285
380.9 IPS |
|
|
Text Classification (Q)
|
88% |
509
686.6 IPS |
|
|
Machine Translation (SP)
|
100% |
518
8.93 IPS |
|
|
Machine Translation (HP)
|
100% |
457
7.88 IPS |
|
|
Machine Translation (Q)
|
50% |
370
13.1 IPS |
