Samsung Galaxy Tab S8
Geekbench AI Score
1253
Single Precision Score
2106
Half Precision Score
1885
Quantized Score
Geekbench AI 1.6.0 Corporate for Android AArch64
Result Information
| Upload Date | December 02 2025 08:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy Tab S8 |
| Model ID | samsung SM-X700 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.12 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
994
184.9 IPS |
|
|
Image Classification (HP)
|
100% |
1403
260.9 IPS |
|
|
Image Classification (Q)
|
99% |
1275
237.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1632
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2708
43.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2286
37.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6157
7.18 IPS |
|
|
Pose Estimation (HP)
|
99% |
11591
13.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
11189
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
676
53.6 IPS |
|
|
Object Detection (HP)
|
99% |
1159
91.9 IPS |
|
|
Object Detection (Q)
|
85% |
1056
85.0 IPS |
|
|
Face Detection (SP)
|
100% |
2381
28.3 IPS |
|
|
Face Detection (HP)
|
100% |
4459
53.0 IPS |
|
|
Face Detection (Q)
|
97% |
3728
44.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3064
23.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
5290
40.9 IPS |
|
|
Depth Estimation (Q)
|
65% |
4394
39.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7049
9.06 IPS |
|
|
Style Transfer (HP)
|
100% |
13753
17.7 IPS |
|
|
Style Transfer (Q)
|
98% |
13889
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1273
47.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2632
97.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2638
97.7 IPS |
|
|
Text Classification (SP)
|
35% |
47
459.4 IPS |
|
|
Text Classification (HP)
|
35% |
65
590.0 IPS |
|
|
Text Classification (Q)
|
35% |
64
579.8 IPS |
|
|
Machine Translation (SP)
|
100% |
462
7.95 IPS |
|
|
Machine Translation (HP)
|
97% |
606
10.5 IPS |
|
|
Machine Translation (Q)
|
64% |
429
8.83 IPS |
