Samsung Galaxy Tab S8 Ultra
Geekbench AI Score
667
Single Precision Score
910
Half Precision Score
954
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | January 30 2025 01:33 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
296
55.1 IPS |
|
|
Image Classification (HP)
|
100% |
340
63.3 IPS |
|
|
Image Classification (Q)
|
97% |
331
61.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
959
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1162
18.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1071
17.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
722
0.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
1260
1.47 IPS |
|
|
Pose Estimation (Q)
|
95% |
1261
1.48 IPS |
|
|
Object Detection (SP)
|
100% |
386
30.6 IPS |
|
|
Object Detection (HP)
|
100% |
522
41.4 IPS |
|
|
Object Detection (Q)
|
89% |
626
50.1 IPS |
|
|
Face Detection (SP)
|
100% |
1559
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
1544
18.3 IPS |
|
|
Face Detection (Q)
|
97% |
1653
19.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1095
8.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
2484
19.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
1996
18.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2748
3.53 IPS |
|
|
Style Transfer (HP)
|
100% |
6030
7.75 IPS |
|
|
Style Transfer (Q)
|
98% |
6130
7.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
366
13.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
504
18.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
493
18.3 IPS |
|
|
Text Classification (SP)
|
100% |
282
376.9 IPS |
|
|
Text Classification (HP)
|
100% |
286
381.3 IPS |
|
|
Text Classification (Q)
|
91% |
521
700.1 IPS |
|
|
Machine Translation (SP)
|
100% |
460
7.93 IPS |
|
|
Machine Translation (HP)
|
100% |
452
7.78 IPS |
|
|
Machine Translation (Q)
|
57% |
430
10.5 IPS |
