Samsung Galaxy Tab S8 Ultra
Geekbench AI Score
447
Single Precision Score
451
Half Precision Score
1006
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 06 2025 12:37 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 14.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
204
37.9 IPS |
|
|
Image Classification (HP)
|
100% |
206
38.3 IPS |
|
|
Image Classification (Q)
|
100% |
749
139.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
243
3.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
246
3.99 IPS |
|
|
Image Segmentation (Q)
|
98% |
706
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1019
1.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
1023
1.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
2141
2.54 IPS |
|
|
Object Detection (SP)
|
98% |
208
16.5 IPS |
|
|
Object Detection (HP)
|
98% |
204
16.2 IPS |
|
|
Object Detection (Q)
|
83% |
761
61.5 IPS |
|
|
Face Detection (SP)
|
100% |
597
7.09 IPS |
|
|
Face Detection (HP)
|
100% |
599
7.12 IPS |
|
|
Face Detection (Q)
|
95% |
1550
18.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
799
6.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
799
6.17 IPS |
|
|
Depth Estimation (Q)
|
64% |
1588
14.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1575
2.04 IPS |
|
|
Style Transfer (HP)
|
89% |
1550
2.01 IPS |
|
|
Style Transfer (Q)
|
98% |
4243
5.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
488
18.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
488
18.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
971
36.0 IPS |
|
|
Text Classification (SP)
|
100% |
235
313.1 IPS |
|
|
Text Classification (HP)
|
99% |
247
329.2 IPS |
|
|
Text Classification (Q)
|
88% |
453
611.0 IPS |
|
|
Machine Translation (SP)
|
100% |
354
6.10 IPS |
|
|
Machine Translation (HP)
|
100% |
376
6.47 IPS |
|
|
Machine Translation (Q)
|
50% |
269
9.54 IPS |
