Samsung Galaxy Tab S8 Ultra
Geekbench AI Score
230
Single Precision Score
230
Half Precision Score
560
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 02 2025 05:23 AM |
| Views | 2 |
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 Ultra |
| Model ID | samsung SM-X900 |
| 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 | 11.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
166
30.9 IPS |
|
|
Image Classification (HP)
|
100% |
174
32.4 IPS |
|
|
Image Classification (Q)
|
99% |
532
99.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
219
3.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
221
3.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
542
8.82 IPS |
|
|
Pose Estimation (SP)
|
100% |
289
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
282
0.33 IPS |
|
|
Pose Estimation (Q)
|
98% |
940
1.10 IPS |
|
|
Object Detection (SP)
|
100% |
123
9.72 IPS |
|
|
Object Detection (HP)
|
100% |
122
9.66 IPS |
|
|
Object Detection (Q)
|
87% |
369
29.6 IPS |
|
|
Face Detection (SP)
|
100% |
335
3.98 IPS |
|
|
Face Detection (HP)
|
100% |
337
4.00 IPS |
|
|
Face Detection (Q)
|
97% |
807
9.62 IPS |
|
|
Depth Estimation (SP)
|
100% |
277
2.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
280
2.16 IPS |
|
|
Depth Estimation (Q)
|
64% |
689
6.25 IPS |
|
|
Style Transfer (SP)
|
100% |
493
0.63 IPS |
|
|
Style Transfer (HP)
|
100% |
489
0.63 IPS |
|
|
Style Transfer (Q)
|
98% |
1260
1.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
133
4.90 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
131
4.83 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
506
18.7 IPS |
|
|
Text Classification (SP)
|
100% |
176
234.5 IPS |
|
|
Text Classification (HP)
|
100% |
175
233.9 IPS |
|
|
Text Classification (Q)
|
91% |
319
429.1 IPS |
|
|
Machine Translation (SP)
|
100% |
300
5.17 IPS |
|
|
Machine Translation (HP)
|
100% |
299
5.16 IPS |
|
|
Machine Translation (Q)
|
57% |
269
6.58 IPS |
