Samsung Galaxy Tab S8
Geekbench AI Score
831
Single Precision Score
833
Half Precision Score
1183
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 02 2025 08:31 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
721
134.2 IPS |
|
|
Image Classification (HP)
|
100% |
708
131.6 IPS |
|
|
Image Classification (Q)
|
100% |
1100
204.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
767
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
738
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1197
19.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1382
1.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
1270
1.48 IPS |
|
|
Pose Estimation (Q)
|
84% |
2577
3.06 IPS |
|
|
Object Detection (SP)
|
98% |
572
45.5 IPS |
|
|
Object Detection (HP)
|
98% |
558
44.4 IPS |
|
|
Object Detection (Q)
|
83% |
699
56.4 IPS |
|
|
Face Detection (SP)
|
100% |
1210
14.4 IPS |
|
|
Face Detection (HP)
|
100% |
1218
14.5 IPS |
|
|
Face Detection (Q)
|
95% |
1687
20.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
1292
9.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
1301
10.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
1785
16.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2976
3.86 IPS |
|
|
Style Transfer (HP)
|
89% |
3031
3.93 IPS |
|
|
Style Transfer (Q)
|
98% |
5367
6.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
628
23.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
650
24.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1243
46.1 IPS |
|
|
Text Classification (SP)
|
100% |
216
288.9 IPS |
|
|
Text Classification (HP)
|
99% |
220
293.0 IPS |
|
|
Text Classification (Q)
|
88% |
399
538.3 IPS |
|
|
Machine Translation (SP)
|
100% |
574
9.88 IPS |
|
|
Machine Translation (HP)
|
100% |
636
11.0 IPS |
|
|
Machine Translation (Q)
|
50% |
283
10.1 IPS |
