Samsung Galaxy S25 Ultra
Geekbench AI Score
2441
Single Precision Score
3882
Half Precision Score
3092
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | rennsport |
| Upload Date | September 14 2025 11:58 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1621
301.4 IPS |
|
|
Image Classification (HP)
|
100% |
2336
434.3 IPS |
|
|
Image Classification (Q)
|
100% |
2140
398.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3167
51.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5373
87.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5569
90.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13815
16.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
24809
28.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
22489
26.4 IPS |
|
|
Object Detection (SP)
|
100% |
1452
115.2 IPS |
|
|
Object Detection (HP)
|
99% |
1811
143.7 IPS |
|
|
Object Detection (Q)
|
85% |
1505
121.2 IPS |
|
|
Face Detection (SP)
|
100% |
4442
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
7868
93.5 IPS |
|
|
Face Detection (Q)
|
97% |
5111
60.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3907
30.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
9687
74.9 IPS |
|
|
Depth Estimation (Q)
|
61% |
7483
72.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17340
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32565
41.9 IPS |
|
|
Style Transfer (Q)
|
98% |
31991
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3250
120.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5036
186.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4615
171.0 IPS |
|
|
Text Classification (SP)
|
35% |
75
725.9 IPS |
|
|
Text Classification (HP)
|
35% |
75
686.1 IPS |
|
|
Text Classification (Q)
|
33% |
59
658.9 IPS |
|
|
Machine Translation (SP)
|
100% |
997
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1472
25.4 IPS |
|
|
Machine Translation (Q)
|
48% |
596
22.9 IPS |
