Samsung Galaxy S25 Ultra
Geekbench AI Score
2797
Single Precision Score
4535
Half Precision Score
3721
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 17 2026 05:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S25 Ultra |
| Model ID | samsung SM-S938B |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.47 GHz |
| Memory Information | |
|---|---|
| Size | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1856
345.1 IPS |
|
|
Image Classification (HP)
|
100% |
2827
525.7 IPS |
|
|
Image Classification (Q)
|
100% |
2903
539.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3255
52.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5085
82.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5235
85.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13744
16.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
25567
29.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
24156
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
1539
122.0 IPS |
|
|
Object Detection (HP)
|
99% |
2502
198.4 IPS |
|
|
Object Detection (Q)
|
85% |
2205
177.5 IPS |
|
|
Face Detection (SP)
|
100% |
5424
64.4 IPS |
|
|
Face Detection (HP)
|
100% |
9946
118.2 IPS |
|
|
Face Detection (Q)
|
97% |
8353
99.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7013
54.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
9534
73.7 IPS |
|
|
Depth Estimation (Q)
|
61% |
7384
71.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17229
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37291
47.9 IPS |
|
|
Style Transfer (Q)
|
98% |
36922
47.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3713
137.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6531
241.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5671
210.2 IPS |
|
|
Text Classification (SP)
|
35% |
89
871.3 IPS |
|
|
Text Classification (HP)
|
35% |
97
881.2 IPS |
|
|
Text Classification (Q)
|
33% |
70
788.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1061
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1787
30.8 IPS |
|
|
Machine Translation (Q)
|
48% |
696
26.7 IPS |
