Samsung Galaxy Tab S6 Lite
Geekbench AI Score
276
Single Precision Score
273
Half Precision Score
340
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | gxhfmsq78 |
| Upload Date | August 29 2024 11:13 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 9611 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy Tab S6 Lite |
| Model ID | samsung SM-P610 |
| Motherboard | exynos9611 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3337 revision 2 |
| Base Frequency | 1.74 GHz |
| Cluster 1 | 4 Cores @ 1.74 GHz |
| Cluster 2 | 4 Cores @ 2.31 GHz |
| Memory Information | |
|---|---|
| Size | 3.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
136
25.3 IPS |
|
|
Image Classification (HP)
|
100% |
131
24.3 IPS |
|
|
Image Classification (Q)
|
100% |
231
43.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
172
2.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
174
2.83 IPS |
|
|
Image Segmentation (Q)
|
98% |
313
5.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
666
0.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
615
0.72 IPS |
|
|
Pose Estimation (Q)
|
84% |
486
0.58 IPS |
|
|
Object Detection (SP)
|
100% |
115
9.14 IPS |
|
|
Object Detection (HP)
|
100% |
115
9.14 IPS |
|
|
Object Detection (Q)
|
87% |
215
17.3 IPS |
|
|
Face Detection (SP)
|
100% |
372
4.42 IPS |
|
|
Face Detection (HP)
|
100% |
373
4.43 IPS |
|
|
Face Detection (Q)
|
95% |
529
6.32 IPS |
|
|
Depth Estimation (SP)
|
100% |
486
3.74 IPS |
|
|
Depth Estimation (HP)
|
100% |
485
3.73 IPS |
|
|
Depth Estimation (Q)
|
75% |
576
4.67 IPS |
|
|
Style Transfer (SP)
|
89% |
1039
1.35 IPS |
|
|
Style Transfer (HP)
|
89% |
1041
1.35 IPS |
|
|
Style Transfer (Q)
|
98% |
1357
1.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
269
9.93 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
269
9.92 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
284
10.5 IPS |
|
|
Text Classification (SP)
|
100% |
128
170.5 IPS |
|
|
Text Classification (HP)
|
100% |
128
170.9 IPS |
|
|
Text Classification (Q)
|
88% |
185
249.4 IPS |
|
|
Machine Translation (SP)
|
100% |
225
3.88 IPS |
|
|
Machine Translation (HP)
|
100% |
221
3.81 IPS |
|
|
Machine Translation (Q)
|
50% |
128
4.55 IPS |
