Samsung Galaxy Tab S8 Ultra
Geekbench AI Score
323
Single Precision Score
324
Half Precision Score
811
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | January 30 2025 01:47 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
199
37.0 IPS |
|
|
Image Classification (HP)
|
100% |
198
36.8 IPS |
|
|
Image Classification (Q)
|
99% |
555
103.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
253
4.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
255
4.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
599
9.74 IPS |
|
|
Pose Estimation (SP)
|
100% |
337
0.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
337
0.39 IPS |
|
|
Pose Estimation (Q)
|
98% |
1333
1.56 IPS |
|
|
Object Detection (SP)
|
100% |
186
14.7 IPS |
|
|
Object Detection (HP)
|
100% |
187
14.9 IPS |
|
|
Object Detection (Q)
|
87% |
588
47.1 IPS |
|
|
Face Detection (SP)
|
100% |
520
6.18 IPS |
|
|
Face Detection (HP)
|
100% |
517
6.15 IPS |
|
|
Face Detection (Q)
|
97% |
1299
15.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
416
3.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
424
3.26 IPS |
|
|
Depth Estimation (Q)
|
64% |
1099
9.98 IPS |
|
|
Style Transfer (SP)
|
100% |
711
0.91 IPS |
|
|
Style Transfer (HP)
|
100% |
712
0.92 IPS |
|
|
Style Transfer (Q)
|
98% |
1904
2.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
199
7.33 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
202
7.46 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
775
28.7 IPS |
|
|
Text Classification (SP)
|
100% |
287
382.7 IPS |
|
|
Text Classification (HP)
|
100% |
286
382.3 IPS |
|
|
Text Classification (Q)
|
91% |
521
700.6 IPS |
|
|
Machine Translation (SP)
|
100% |
459
7.90 IPS |
|
|
Machine Translation (HP)
|
100% |
454
7.82 IPS |
|
|
Machine Translation (Q)
|
57% |
432
10.6 IPS |
