Samsung Galaxy Tab S11 Ultra
Geekbench AI Score
2269
Single Precision Score
2648
Half Precision Score
3555
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | kenhayward |
| Upload Date | February 18 2026 06:18 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1597
296.9 IPS |
|
|
Image Classification (HP)
|
100% |
1319
245.3 IPS |
|
|
Image Classification (Q)
|
99% |
2606
486.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2044
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1764
28.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2904
47.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3612
4.21 IPS |
|
|
Pose Estimation (HP)
|
92% |
6757
7.94 IPS |
|
|
Pose Estimation (Q)
|
96% |
7108
8.33 IPS |
|
|
Object Detection (SP)
|
98% |
1553
123.6 IPS |
|
|
Object Detection (HP)
|
97% |
1181
94.1 IPS |
|
|
Object Detection (Q)
|
85% |
2148
173.0 IPS |
|
|
Face Detection (SP)
|
100% |
3399
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
4028
47.9 IPS |
|
|
Face Detection (Q)
|
97% |
5562
66.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3640
28.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
5098
39.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
5554
51.0 IPS |
|
|
Style Transfer (SP)
|
89% |
7611
9.88 IPS |
|
|
Style Transfer (HP)
|
88% |
8016
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
14942
19.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1746
64.5 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
3020
112.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3664
135.8 IPS |
|
|
Text Classification (SP)
|
100% |
684
913.0 IPS |
|
|
Text Classification (HP)
|
100% |
1134
1.51 KIPS |
|
|
Text Classification (Q)
|
93% |
1340
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1764
30.4 IPS |
|
|
Machine Translation (HP)
|
96% |
1623
28.1 IPS |
|
|
Machine Translation (Q)
|
55% |
1233
33.1 IPS |
