Samsung Galaxy Tab S8
Geekbench AI Score
1736
Single Precision Score
1710
Half Precision Score
2631
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | fredstar |
| Upload Date | February 08 2026 12:38 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1372
255.1 IPS |
|
|
Image Classification (HP)
|
100% |
1372
255.2 IPS |
|
|
Image Classification (Q)
|
100% |
2170
403.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1505
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1529
24.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2328
37.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2402
2.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
2317
2.70 IPS |
|
|
Pose Estimation (Q)
|
84% |
5032
5.97 IPS |
|
|
Object Detection (SP)
|
98% |
1292
102.8 IPS |
|
|
Object Detection (HP)
|
98% |
1317
104.8 IPS |
|
|
Object Detection (Q)
|
83% |
1780
143.8 IPS |
|
|
Face Detection (SP)
|
100% |
2463
29.3 IPS |
|
|
Face Detection (HP)
|
100% |
2323
27.6 IPS |
|
|
Face Detection (Q)
|
95% |
4200
50.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2673
20.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2631
20.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
4213
38.6 IPS |
|
|
Style Transfer (SP)
|
89% |
5654
7.34 IPS |
|
|
Style Transfer (HP)
|
89% |
5573
7.23 IPS |
|
|
Style Transfer (Q)
|
98% |
10738
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1371
50.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1352
49.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2726
101.0 IPS |
|
|
Text Classification (SP)
|
100% |
602
804.0 IPS |
|
|
Text Classification (HP)
|
99% |
600
800.6 IPS |
|
|
Text Classification (Q)
|
88% |
1098
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1268
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1213
20.9 IPS |
|
|
Machine Translation (Q)
|
50% |
619
22.0 IPS |
