Samsung Galaxy Tab S8
Geekbench AI Score
269
Single Precision Score
10658
Half Precision Score
28767
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 17 2025 09:51 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
185
34.4 IPS |
|
|
Image Classification (HP)
|
100% |
8489
1.58 KIPS |
|
|
Image Classification (Q)
|
99% |
24253
4.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
204
3.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
6660
108.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
19114
310.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
263
0.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
27725
32.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
220173
258.1 IPS |
|
|
Object Detection (SP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (HP)
|
100% |
7871
624.4 IPS |
|
|
Object Detection (Q)
|
88% |
12197
977.1 IPS |
|
|
Face Detection (SP)
|
100% |
422
5.02 IPS |
|
|
Face Detection (HP)
|
100% |
18444
219.1 IPS |
|
|
Face Detection (Q)
|
97% |
74223
885.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
335
2.58 IPS |
|
|
Depth Estimation (HP)
|
99% |
28162
217.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
62685
577.1 IPS |
|
|
Style Transfer (SP)
|
100% |
586
0.75 IPS |
|
|
Style Transfer (HP)
|
98% |
36031
46.5 IPS |
|
|
Style Transfer (Q)
|
98% |
216181
278.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
165
6.10 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20117
742.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
57792
2.14 KIPS |
|
|
Text Classification (SP)
|
100% |
242
322.6 IPS |
|
|
Text Classification (HP)
|
100% |
1885
2.52 KIPS |
|
|
Text Classification (Q)
|
94% |
4441
5.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
395
6.81 IPS |
|
|
Machine Translation (HP)
|
100% |
2162
37.2 IPS |
|
|
Machine Translation (Q)
|
50% |
1208
41.8 IPS |
