Samsung Galaxy Tab S9 Ultra
Geekbench AI Score
2151
Single Precision Score
2152
Half Precision Score
3432
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 24 2025 01:38 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% |
1800
334.7 IPS |
|
|
Image Classification (HP)
|
100% |
1843
342.8 IPS |
|
|
Image Classification (Q)
|
100% |
2833
526.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1968
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1967
31.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3013
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2882
3.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
2869
3.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
6592
7.82 IPS |
|
|
Object Detection (SP)
|
98% |
1657
131.9 IPS |
|
|
Object Detection (HP)
|
98% |
1630
129.7 IPS |
|
|
Object Detection (Q)
|
83% |
2475
199.9 IPS |
|
|
Face Detection (SP)
|
100% |
3146
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
3124
37.1 IPS |
|
|
Face Detection (Q)
|
95% |
5577
66.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3118
24.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3098
23.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5385
49.3 IPS |
|
|
Style Transfer (SP)
|
89% |
7193
9.34 IPS |
|
|
Style Transfer (HP)
|
89% |
7123
9.25 IPS |
|
|
Style Transfer (Q)
|
98% |
13665
17.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1629
60.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1615
59.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3700
137.1 IPS |
|
|
Text Classification (SP)
|
100% |
725
967.8 IPS |
|
|
Text Classification (HP)
|
99% |
777
1.04 KIPS |
|
|
Text Classification (Q)
|
88% |
1419
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1508
26.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1456
25.1 IPS |
|
|
Machine Translation (Q)
|
50% |
756
26.9 IPS |
