Samsung Galaxy Tab S8
Geekbench AI Score
236
Single Precision Score
11581
Half Precision Score
30524
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | fredstar |
| Upload Date | February 08 2026 01:08 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
137
25.5 IPS |
|
|
Image Classification (HP)
|
100% |
7973
1.48 KIPS |
|
|
Image Classification (Q)
|
99% |
22206
4.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
179
2.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
6216
100.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
22628
368.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
246
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
38491
44.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
221855
260.1 IPS |
|
|
Object Detection (SP)
|
100% |
137
10.9 IPS |
|
|
Object Detection (HP)
|
100% |
7643
606.2 IPS |
|
|
Object Detection (Q)
|
87% |
14228
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
361
4.29 IPS |
|
|
Face Detection (HP)
|
100% |
16723
198.7 IPS |
|
|
Face Detection (Q)
|
97% |
62024
739.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
316
2.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
27373
211.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
69732
640.8 IPS |
|
|
Style Transfer (SP)
|
100% |
553
0.71 IPS |
|
|
Style Transfer (HP)
|
100% |
38664
49.7 IPS |
|
|
Style Transfer (Q)
|
98% |
208119
268.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
157
5.78 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21310
786.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
52851
1.96 KIPS |
|
|
Text Classification (SP)
|
100% |
200
267.2 IPS |
|
|
Text Classification (HP)
|
100% |
2508
3.35 KIPS |
|
|
Text Classification (Q)
|
94% |
5883
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
339
5.83 IPS |
|
|
Machine Translation (HP)
|
100% |
3149
54.2 IPS |
|
|
Machine Translation (Q)
|
52% |
1582
47.6 IPS |
