Samsung Galaxy S25 Ultra
Geekbench AI Score
2553
Single Precision Score
4023
Half Precision Score
3393
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 02:22 PM |
| Views | 2 |
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-S938Q |
| 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% |
1227
228.1 IPS |
|
|
Image Classification (HP)
|
100% |
1933
359.4 IPS |
|
|
Image Classification (Q)
|
100% |
1803
335.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2715
44.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4428
71.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4395
71.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12772
14.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
24510
28.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
23921
28.0 IPS |
|
|
Object Detection (SP)
|
100% |
1492
118.3 IPS |
|
|
Object Detection (HP)
|
99% |
1966
155.9 IPS |
|
|
Object Detection (Q)
|
85% |
1873
150.8 IPS |
|
|
Face Detection (SP)
|
100% |
4945
58.8 IPS |
|
|
Face Detection (HP)
|
100% |
8203
97.5 IPS |
|
|
Face Detection (Q)
|
97% |
7345
87.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6921
53.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
9576
74.0 IPS |
|
|
Depth Estimation (Q)
|
61% |
7454
72.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17373
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37455
48.1 IPS |
|
|
Style Transfer (Q)
|
98% |
37132
47.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3692
136.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5795
214.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5615
208.1 IPS |
|
|
Text Classification (SP)
|
35% |
78
758.9 IPS |
|
|
Text Classification (HP)
|
35% |
84
767.0 IPS |
|
|
Text Classification (Q)
|
33% |
66
736.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1083
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1881
32.4 IPS |
|
|
Machine Translation (Q)
|
48% |
758
29.1 IPS |
