Samsung Galaxy Tab S6
Geekbench AI Score
305
Single Precision Score
303
Half Precision Score
592
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Placo |
| Upload Date | October 09 2024 08:24 PM |
| Views | 8 |
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-T860 |
| 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 | 7.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
160
29.8 IPS |
|
|
Image Classification (HP)
|
100% |
164
30.5 IPS |
|
|
Image Classification (Q)
|
100% |
461
85.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
182
2.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
183
2.96 IPS |
|
|
Image Segmentation (Q)
|
98% |
490
7.97 IPS |
|
|
Pose Estimation (SP)
|
100% |
647
0.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
605
0.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
1175
1.39 IPS |
|
|
Object Detection (SP)
|
100% |
145
11.5 IPS |
|
|
Object Detection (HP)
|
100% |
145
11.5 IPS |
|
|
Object Detection (Q)
|
83% |
391
31.6 IPS |
|
|
Face Detection (SP)
|
100% |
363
4.31 IPS |
|
|
Face Detection (HP)
|
100% |
363
4.31 IPS |
|
|
Face Detection (Q)
|
95% |
788
9.40 IPS |
|
|
Depth Estimation (SP)
|
100% |
513
3.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
518
3.99 IPS |
|
|
Depth Estimation (Q)
|
64% |
1004
9.20 IPS |
|
|
Style Transfer (SP)
|
89% |
1133
1.47 IPS |
|
|
Style Transfer (HP)
|
89% |
1135
1.47 IPS |
|
|
Style Transfer (Q)
|
98% |
2455
3.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
298
11.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
296
10.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
621
23.0 IPS |
|
|
Text Classification (SP)
|
100% |
154
206.2 IPS |
|
|
Text Classification (HP)
|
100% |
156
208.5 IPS |
|
|
Text Classification (Q)
|
88% |
261
351.5 IPS |
|
|
Machine Translation (SP)
|
100% |
266
4.58 IPS |
|
|
Machine Translation (HP)
|
100% |
258
4.44 IPS |
|
|
Machine Translation (Q)
|
50% |
162
5.76 IPS |
