Samsung Galaxy Tab S9 Ultra
Geekbench AI Score
2220
Single Precision Score
2230
Half Precision Score
3580
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 31 2025 04:53 AM |
| 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% |
1841
342.3 IPS |
|
|
Image Classification (HP)
|
100% |
1875
348.6 IPS |
|
|
Image Classification (Q)
|
100% |
2967
551.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2009
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1994
32.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3253
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2939
3.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
3066
3.58 IPS |
|
|
Pose Estimation (Q)
|
84% |
6857
8.13 IPS |
|
|
Object Detection (SP)
|
98% |
1671
132.9 IPS |
|
|
Object Detection (HP)
|
98% |
1655
131.7 IPS |
|
|
Object Detection (Q)
|
83% |
2613
211.1 IPS |
|
|
Face Detection (SP)
|
100% |
3305
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
3218
38.2 IPS |
|
|
Face Detection (Q)
|
95% |
5833
69.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3187
24.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3192
24.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
5598
51.3 IPS |
|
|
Style Transfer (SP)
|
89% |
7534
9.78 IPS |
|
|
Style Transfer (HP)
|
89% |
7379
9.58 IPS |
|
|
Style Transfer (Q)
|
98% |
14329
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1661
61.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1709
63.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3823
141.7 IPS |
|
|
Text Classification (SP)
|
100% |
788
1.05 KIPS |
|
|
Text Classification (HP)
|
99% |
823
1.10 KIPS |
|
|
Text Classification (Q)
|
88% |
1417
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1545
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1504
25.9 IPS |
|
|
Machine Translation (Q)
|
50% |
790
28.1 IPS |
