Samsung Galaxy Tab S8 Ultra
Geekbench AI Score
401
Single Precision Score
386
Half Precision Score
909
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 29 2025 02:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
225
41.9 IPS |
|
|
Image Classification (HP)
|
100% |
204
38.0 IPS |
|
|
Image Classification (Q)
|
100% |
746
138.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
259
4.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
234
3.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
707
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
988
1.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
842
0.98 IPS |
|
|
Pose Estimation (Q)
|
84% |
1712
2.03 IPS |
|
|
Object Detection (SP)
|
98% |
145
11.6 IPS |
|
|
Object Detection (HP)
|
98% |
159
12.7 IPS |
|
|
Object Detection (Q)
|
83% |
577
46.6 IPS |
|
|
Face Detection (SP)
|
100% |
450
5.34 IPS |
|
|
Face Detection (HP)
|
100% |
463
5.50 IPS |
|
|
Face Detection (Q)
|
95% |
1167
13.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
623
4.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
652
5.04 IPS |
|
|
Depth Estimation (Q)
|
64% |
1224
11.2 IPS |
|
|
Style Transfer (SP)
|
89% |
1246
1.62 IPS |
|
|
Style Transfer (HP)
|
89% |
1246
1.62 IPS |
|
|
Style Transfer (Q)
|
98% |
3244
4.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
470
17.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
469
17.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1084
40.2 IPS |
|
|
Text Classification (SP)
|
100% |
212
283.4 IPS |
|
|
Text Classification (HP)
|
99% |
211
282.2 IPS |
|
|
Text Classification (Q)
|
88% |
505
680.5 IPS |
|
|
Machine Translation (SP)
|
100% |
374
6.45 IPS |
|
|
Machine Translation (HP)
|
100% |
315
5.43 IPS |
|
|
Machine Translation (Q)
|
50% |
293
10.4 IPS |
