Samsung Galaxy Tab S8
Geekbench AI Score
272
Single Precision Score
259
Half Precision Score
656
Quantized Score
Geekbench AI 1.5.0-Beta1 Corporate for Android AArch64
Result Information
| Upload Date | September 02 2025 05:20 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
169
31.4 IPS |
|
|
Image Classification (HP)
|
100% |
172
31.9 IPS |
|
|
Image Classification (Q)
|
99% |
497
92.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
214
3.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
217
3.51 IPS |
|
|
Image Segmentation (Q)
|
98% |
520
8.46 IPS |
|
|
Pose Estimation (SP)
|
100% |
283
0.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
218
0.25 IPS |
|
|
Pose Estimation (Q)
|
98% |
1226
1.44 IPS |
|
|
Object Detection (SP)
|
100% |
167
13.2 IPS |
|
|
Object Detection (HP)
|
100% |
167
13.3 IPS |
|
|
Object Detection (Q)
|
87% |
462
37.0 IPS |
|
|
Face Detection (SP)
|
100% |
435
5.16 IPS |
|
|
Face Detection (HP)
|
100% |
420
5.00 IPS |
|
|
Face Detection (Q)
|
97% |
949
11.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
315
2.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
282
2.18 IPS |
|
|
Depth Estimation (Q)
|
64% |
686
6.22 IPS |
|
|
Style Transfer (SP)
|
100% |
503
0.65 IPS |
|
|
Style Transfer (HP)
|
100% |
499
0.64 IPS |
|
|
Style Transfer (Q)
|
98% |
1700
2.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
192
7.10 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
183
6.75 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
680
25.2 IPS |
|
|
Text Classification (SP)
|
100% |
253
337.4 IPS |
|
|
Text Classification (HP)
|
100% |
254
338.6 IPS |
|
|
Text Classification (Q)
|
91% |
456
613.3 IPS |
|
|
Machine Translation (SP)
|
100% |
399
6.88 IPS |
|
|
Machine Translation (HP)
|
100% |
372
6.40 IPS |
|
|
Machine Translation (Q)
|
57% |
298
7.27 IPS |
