Samsung Galaxy S25 Ultra
Geekbench AI Score
2794
Single Precision Score
4163
Half Precision Score
3563
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 22 2025 06:40 AM |
| 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% |
1825
339.4 IPS |
|
|
Image Classification (HP)
|
100% |
2292
426.3 IPS |
|
|
Image Classification (Q)
|
100% |
2714
504.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3153
51.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4975
80.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4804
78.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13674
16.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
24909
29.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
24287
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
1574
124.9 IPS |
|
|
Object Detection (HP)
|
99% |
2014
159.8 IPS |
|
|
Object Detection (Q)
|
85% |
1930
155.3 IPS |
|
|
Face Detection (SP)
|
100% |
5681
67.5 IPS |
|
|
Face Detection (HP)
|
100% |
9686
115.1 IPS |
|
|
Face Detection (Q)
|
97% |
8467
101.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7275
56.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
9600
74.2 IPS |
|
|
Depth Estimation (Q)
|
61% |
7480
72.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16815
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38342
49.3 IPS |
|
|
Style Transfer (Q)
|
98% |
37411
48.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3740
138.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5844
215.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5562
206.1 IPS |
|
|
Text Classification (SP)
|
35% |
87
850.8 IPS |
|
|
Text Classification (HP)
|
35% |
80
730.1 IPS |
|
|
Text Classification (Q)
|
33% |
70
780.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1038
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1640
28.2 IPS |
|
|
Machine Translation (Q)
|
48% |
586
22.5 IPS |
