Samsung Galaxy Tab S6 Lite
Geekbench AI Score
130
Single Precision Score
179
Half Precision Score
168
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | October 21 2024 05:49 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
108
20.2 IPS |
|
|
Image Classification (HP)
|
100% |
173
32.1 IPS |
|
|
Image Classification (Q)
|
99% |
166
30.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
117
1.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
160
2.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
157
2.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
81
0.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
109
0.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
109
0.13 IPS |
|
|
Object Detection (SP)
|
100% |
88
6.95 IPS |
|
|
Object Detection (HP)
|
100% |
152
12.0 IPS |
|
|
Object Detection (Q)
|
83% |
146
11.8 IPS |
|
|
Face Detection (SP)
|
100% |
346
4.11 IPS |
|
|
Face Detection (HP)
|
100% |
456
5.42 IPS |
|
|
Face Detection (Q)
|
97% |
430
5.13 IPS |
|
|
Depth Estimation (SP)
|
100% |
178
1.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
249
1.91 IPS |
|
|
Depth Estimation (Q)
|
62% |
201
1.90 IPS |
|
|
Style Transfer (SP)
|
100% |
333
0.43 IPS |
|
|
Style Transfer (HP)
|
100% |
549
0.71 IPS |
|
|
Style Transfer (Q)
|
98% |
545
0.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
118
4.34 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
178
6.57 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
143
5.31 IPS |
|
|
Text Classification (SP)
|
100% |
59
78.9 IPS |
|
|
Text Classification (HP)
|
100% |
59
79.3 IPS |
|
|
Text Classification (Q)
|
91% |
77
103.9 IPS |
|
|
Machine Translation (SP)
|
100% |
115
1.98 IPS |
|
|
Machine Translation (HP)
|
100% |
115
1.97 IPS |
|
|
Machine Translation (Q)
|
57% |
88
2.14 IPS |
