Samsung Galaxy Tab S8 Ultra
Geekbench AI Score
457
Single Precision Score
419
Half Precision Score
1030
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 06 2025 12:48 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% |
203
37.7 IPS |
|
|
Image Classification (HP)
|
100% |
182
33.9 IPS |
|
|
Image Classification (Q)
|
100% |
732
136.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
252
4.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
244
3.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
717
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
996
1.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
996
1.16 IPS |
|
|
Pose Estimation (Q)
|
84% |
2100
2.49 IPS |
|
|
Object Detection (SP)
|
98% |
204
16.3 IPS |
|
|
Object Detection (HP)
|
98% |
207
16.5 IPS |
|
|
Object Detection (Q)
|
83% |
756
61.1 IPS |
|
|
Face Detection (SP)
|
100% |
596
7.08 IPS |
|
|
Face Detection (HP)
|
100% |
583
6.93 IPS |
|
|
Face Detection (Q)
|
95% |
1527
18.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
773
5.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
798
6.17 IPS |
|
|
Depth Estimation (Q)
|
64% |
1609
14.7 IPS |
|
|
Style Transfer (SP)
|
89% |
1566
2.03 IPS |
|
|
Style Transfer (HP)
|
89% |
1559
2.02 IPS |
|
|
Style Transfer (Q)
|
98% |
4341
5.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
483
17.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
482
17.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1084
40.2 IPS |
|
|
Text Classification (SP)
|
100% |
223
297.2 IPS |
|
|
Text Classification (HP)
|
99% |
144
191.8 IPS |
|
|
Text Classification (Q)
|
88% |
438
590.3 IPS |
|
|
Machine Translation (SP)
|
100% |
500
8.61 IPS |
|
|
Machine Translation (HP)
|
100% |
366
6.30 IPS |
|
|
Machine Translation (Q)
|
50% |
319
11.3 IPS |
