Samsung Galaxy Tab S9 Ultra
Geekbench AI Score
956
Single Precision Score
947
Half Precision Score
1795
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 05:47 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy Tab S9 Ultra |
| Model ID | samsung SM-X910 |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.36 GHz |
| Memory Information | |
|---|---|
| Size | 10.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
917
170.5 IPS |
|
|
Image Classification (HP)
|
100% |
697
129.7 IPS |
|
|
Image Classification (Q)
|
100% |
1413
262.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
764
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
430
6.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
1730
28.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1896
2.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1922
2.24 IPS |
|
|
Pose Estimation (Q)
|
84% |
3691
4.38 IPS |
|
|
Object Detection (SP)
|
98% |
410
32.6 IPS |
|
|
Object Detection (HP)
|
98% |
676
53.8 IPS |
|
|
Object Detection (Q)
|
83% |
1227
99.1 IPS |
|
|
Face Detection (SP)
|
100% |
1185
14.1 IPS |
|
|
Face Detection (HP)
|
100% |
1169
13.9 IPS |
|
|
Face Detection (Q)
|
95% |
2751
32.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1060
8.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
1624
12.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3140
28.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3582
4.65 IPS |
|
|
Style Transfer (HP)
|
89% |
2469
3.21 IPS |
|
|
Style Transfer (Q)
|
98% |
6062
7.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
819
30.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
823
30.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1934
71.7 IPS |
|
|
Text Classification (SP)
|
100% |
412
549.4 IPS |
|
|
Text Classification (HP)
|
99% |
453
604.5 IPS |
|
|
Text Classification (Q)
|
88% |
710
957.3 IPS |
|
|
Machine Translation (SP)
|
100% |
779
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
859
14.8 IPS |
|
|
Machine Translation (Q)
|
50% |
437
15.5 IPS |
