Samsung Galaxy Tab S6 Lite
Geekbench AI Score
131
Single Precision Score
176
Half Precision Score
170
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | October 28 2024 05:09 AM |
| Views | 9 |
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% |
107
19.9 IPS |
|
|
Image Classification (HP)
|
100% |
172
32.0 IPS |
|
|
Image Classification (Q)
|
99% |
165
30.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
116
1.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
158
2.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
156
2.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
76
0.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
109
0.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
109
0.13 IPS |
|
|
Object Detection (SP)
|
100% |
86
6.78 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% |
429
5.11 IPS |
|
|
Depth Estimation (SP)
|
100% |
178
1.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
194
1.49 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% |
458
0.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
117
4.34 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
180
6.63 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
175
6.50 IPS |
|
|
Text Classification (SP)
|
100% |
66
88.0 IPS |
|
|
Text Classification (HP)
|
100% |
66
87.7 IPS |
|
|
Text Classification (Q)
|
91% |
86
116.1 IPS |
|
|
Machine Translation (SP)
|
100% |
116
1.99 IPS |
|
|
Machine Translation (HP)
|
100% |
115
1.97 IPS |
|
|
Machine Translation (Q)
|
57% |
87
2.13 IPS |
