Samsung Galaxy Tab S11 Ultra
Geekbench AI Score
1188
Single Precision Score
9588
Half Precision Score
13077
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | kenhayward |
| Upload Date | February 18 2026 06:22 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Mediatek Dimensity 9400+ |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy Tab S11 Ultra |
| Model ID | samsung SM-X930 |
| Motherboard | gts11uwifi |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3461 revision 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores @ 2.40 GHz |
| Cluster 2 | 3 Cores @ 3.30 GHz |
| Cluster 3 | 1 Core @ 3.73 GHz |
| Memory Information | |
|---|---|
| Size | 15.15 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1211
225.2 IPS |
|
|
Image Classification (HP)
|
100% |
5181
963.4 IPS |
|
|
Image Classification (Q)
|
99% |
13480
2.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
776
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4891
79.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2121
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10913
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
21763
25.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
88138
103.3 IPS |
|
|
Object Detection (SP)
|
100% |
731
58.0 IPS |
|
|
Object Detection (HP)
|
100% |
5565
441.4 IPS |
|
|
Object Detection (Q)
|
86% |
6755
543.3 IPS |
|
|
Face Detection (SP)
|
100% |
3732
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
14661
174.2 IPS |
|
|
Face Detection (Q)
|
97% |
15664
186.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
756
5.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
22643
174.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
38943
369.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2977
3.83 IPS |
|
|
Style Transfer (HP)
|
100% |
67945
87.3 IPS |
|
|
Style Transfer (Q)
|
98% |
235996
304.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2969
109.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12861
474.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
39786
1.47 KIPS |
|
|
Text Classification (SP)
|
100% |
114
152.6 IPS |
|
|
Text Classification (HP)
|
100% |
2982
3.98 KIPS |
|
|
Text Classification (Q)
|
93% |
3050
4.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
263
4.53 IPS |
|
|
Machine Translation (HP)
|
100% |
2475
42.6 IPS |
|
|
Machine Translation (Q)
|
60% |
492
11.1 IPS |
