Samsung Galaxy Tab S11 Ultra
Geekbench AI Score
1611
Single Precision Score
2249
Half Precision Score
1852
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | kenhayward |
| Upload Date | February 18 2026 06:16 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
701
130.3 IPS |
|
|
Image Classification (HP)
|
100% |
1099
204.4 IPS |
|
|
Image Classification (Q)
|
97% |
985
183.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2222
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3145
51.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2912
47.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9883
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17736
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
17652
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
623
49.4 IPS |
|
|
Object Detection (HP)
|
99% |
991
78.6 IPS |
|
|
Object Detection (Q)
|
83% |
928
75.0 IPS |
|
|
Face Detection (SP)
|
100% |
3726
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
5133
61.0 IPS |
|
|
Face Detection (Q)
|
96% |
4469
53.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4528
34.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
6898
53.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
5657
53.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15203
19.5 IPS |
|
|
Style Transfer (HP)
|
100% |
27653
35.5 IPS |
|
|
Style Transfer (Q)
|
98% |
26843
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2224
82.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3469
128.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3104
115.1 IPS |
|
|
Text Classification (SP)
|
35% |
35
317.2 IPS |
|
|
Text Classification (HP)
|
29% |
23
390.1 IPS |
|
|
Text Classification (Q)
|
32% |
29
378.2 IPS |
|
|
Machine Translation (SP)
|
100% |
618
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
699
12.0 IPS |
|
|
Machine Translation (Q)
|
43% |
166
9.66 IPS |
