Samsung Galaxy Tab S8
Geekbench AI Score
1460
Single Precision Score
1449
Half Precision Score
2159
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 14 2025 10:56 PM |
| Views | 8 |
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% |
1246
231.7 IPS |
|
|
Image Classification (HP)
|
100% |
1215
226.0 IPS |
|
|
Image Classification (Q)
|
100% |
1772
329.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1306
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1313
21.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1910
31.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1995
2.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
1968
2.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
4184
4.96 IPS |
|
|
Object Detection (SP)
|
98% |
979
77.9 IPS |
|
|
Object Detection (HP)
|
98% |
1009
80.3 IPS |
|
|
Object Detection (Q)
|
83% |
1468
118.6 IPS |
|
|
Face Detection (SP)
|
100% |
2116
25.1 IPS |
|
|
Face Detection (HP)
|
100% |
2060
24.5 IPS |
|
|
Face Detection (Q)
|
95% |
3318
39.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2232
17.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2168
16.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3450
31.6 IPS |
|
|
Style Transfer (SP)
|
89% |
4505
5.85 IPS |
|
|
Style Transfer (HP)
|
89% |
4610
5.98 IPS |
|
|
Style Transfer (Q)
|
98% |
8856
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1136
41.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1162
42.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2336
86.5 IPS |
|
|
Text Classification (SP)
|
100% |
506
675.4 IPS |
|
|
Text Classification (HP)
|
99% |
504
672.1 IPS |
|
|
Text Classification (Q)
|
88% |
877
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1136
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1073
18.5 IPS |
|
|
Machine Translation (Q)
|
50% |
510
18.1 IPS |
