Samsung Galaxy Tab S8
Geekbench AI Score
213
Single Precision Score
10810
Half Precision Score
27487
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 14 2025 11:31 PM |
| Views | 11 |
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% |
138
25.6 IPS |
|
|
Image Classification (HP)
|
100% |
8131
1.51 KIPS |
|
|
Image Classification (Q)
|
99% |
22985
4.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
179
2.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
6428
104.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
18784
305.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
245
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
36315
42.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
222811
261.2 IPS |
|
|
Object Detection (SP)
|
100% |
117
9.30 IPS |
|
|
Object Detection (HP)
|
100% |
7581
601.3 IPS |
|
|
Object Detection (Q)
|
88% |
11467
918.6 IPS |
|
|
Face Detection (SP)
|
100% |
291
3.46 IPS |
|
|
Face Detection (HP)
|
100% |
16693
198.3 IPS |
|
|
Face Detection (Q)
|
97% |
58049
692.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
312
2.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
27929
215.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
61992
570.7 IPS |
|
|
Style Transfer (SP)
|
100% |
547
0.70 IPS |
|
|
Style Transfer (HP)
|
98% |
40573
52.3 IPS |
|
|
Style Transfer (Q)
|
98% |
214291
276.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
134
4.95 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21176
781.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
58569
2.17 KIPS |
|
|
Text Classification (SP)
|
100% |
162
215.8 IPS |
|
|
Text Classification (HP)
|
100% |
1876
2.50 KIPS |
|
|
Text Classification (Q)
|
94% |
4377
5.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
262
4.51 IPS |
|
|
Machine Translation (HP)
|
100% |
2016
34.7 IPS |
|
|
Machine Translation (Q)
|
50% |
1129
39.1 IPS |
