Samsung Galaxy Tab S8
Geekbench AI Score
1639
Single Precision Score
1626
Half Precision Score
2463
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | fredstar |
| Upload Date | November 02 2025 01:28 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% |
1386
257.7 IPS |
|
|
Image Classification (HP)
|
100% |
1333
247.9 IPS |
|
|
Image Classification (Q)
|
100% |
1960
364.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1167
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1358
22.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2160
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2241
2.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
2181
2.55 IPS |
|
|
Pose Estimation (Q)
|
84% |
4716
5.59 IPS |
|
|
Object Detection (SP)
|
98% |
1203
95.8 IPS |
|
|
Object Detection (HP)
|
98% |
1235
98.3 IPS |
|
|
Object Detection (Q)
|
83% |
1769
142.9 IPS |
|
|
Face Detection (SP)
|
100% |
2405
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
2292
27.2 IPS |
|
|
Face Detection (Q)
|
95% |
3935
47.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2543
19.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2467
19.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3836
35.1 IPS |
|
|
Style Transfer (SP)
|
89% |
5368
6.97 IPS |
|
|
Style Transfer (HP)
|
89% |
5131
6.66 IPS |
|
|
Style Transfer (Q)
|
98% |
10097
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1340
49.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1349
49.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2612
96.8 IPS |
|
|
Text Classification (SP)
|
100% |
583
778.3 IPS |
|
|
Text Classification (HP)
|
99% |
579
773.5 IPS |
|
|
Text Classification (Q)
|
88% |
1063
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1257
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1176
20.3 IPS |
|
|
Machine Translation (Q)
|
50% |
551
19.5 IPS |
