Samsung Galaxy Tab S8 Ultra
Geekbench AI Score
1665
Single Precision Score
1634
Half Precision Score
2422
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | January 30 2025 02:03 AM |
| Views | 3 |
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% |
1459
271.3 IPS |
|
|
Image Classification (HP)
|
100% |
1375
255.6 IPS |
|
|
Image Classification (Q)
|
100% |
1999
371.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1455
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1455
23.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2161
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2321
2.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
2159
2.52 IPS |
|
|
Pose Estimation (Q)
|
84% |
4668
5.54 IPS |
|
|
Object Detection (SP)
|
98% |
1211
96.4 IPS |
|
|
Object Detection (HP)
|
98% |
1230
97.8 IPS |
|
|
Object Detection (Q)
|
83% |
1684
136.0 IPS |
|
|
Face Detection (SP)
|
100% |
2337
27.8 IPS |
|
|
Face Detection (HP)
|
100% |
2359
28.0 IPS |
|
|
Face Detection (Q)
|
95% |
3790
45.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2432
18.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2387
18.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3689
33.8 IPS |
|
|
Style Transfer (SP)
|
89% |
5129
6.66 IPS |
|
|
Style Transfer (HP)
|
89% |
5187
6.73 IPS |
|
|
Style Transfer (Q)
|
98% |
10159
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1311
48.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1280
47.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2654
98.3 IPS |
|
|
Text Classification (SP)
|
100% |
602
803.2 IPS |
|
|
Text Classification (HP)
|
99% |
603
805.4 IPS |
|
|
Text Classification (Q)
|
88% |
1003
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1198
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1139
19.6 IPS |
|
|
Machine Translation (Q)
|
50% |
543
19.3 IPS |
