Samsung Galaxy Tab S8
Geekbench AI Score
1279
Single Precision Score
2142
Half Precision Score
1915
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | fredstar |
| Upload Date | November 02 2025 01:32 PM |
| Views | 5 |
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% |
927
172.4 IPS |
|
|
Image Classification (HP)
|
100% |
1366
254.1 IPS |
|
|
Image Classification (Q)
|
99% |
1227
228.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1684
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2730
44.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2245
36.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6204
7.24 IPS |
|
|
Pose Estimation (HP)
|
99% |
11494
13.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
11090
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
652
51.7 IPS |
|
|
Object Detection (HP)
|
99% |
1146
90.9 IPS |
|
|
Object Detection (Q)
|
85% |
1083
87.1 IPS |
|
|
Face Detection (SP)
|
100% |
2621
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
4751
56.5 IPS |
|
|
Face Detection (Q)
|
97% |
4011
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3025
23.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
5339
41.3 IPS |
|
|
Depth Estimation (Q)
|
65% |
4593
41.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7078
9.10 IPS |
|
|
Style Transfer (HP)
|
100% |
14186
18.2 IPS |
|
|
Style Transfer (Q)
|
98% |
13998
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1331
49.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2769
102.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2693
99.8 IPS |
|
|
Text Classification (SP)
|
35% |
46
451.5 IPS |
|
|
Text Classification (HP)
|
35% |
65
586.8 IPS |
|
|
Text Classification (Q)
|
35% |
63
575.3 IPS |
|
|
Machine Translation (SP)
|
100% |
544
9.38 IPS |
|
|
Machine Translation (HP)
|
97% |
641
11.1 IPS |
|
|
Machine Translation (Q)
|
64% |
459
9.43 IPS |
