Samsung Galaxy S25 Ultra
Geekbench AI Score
2101
Single Precision Score
3314
Half Precision Score
2762
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 22 2025 09:16 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% |
1294
240.7 IPS |
|
|
Image Classification (HP)
|
100% |
2007
373.3 IPS |
|
|
Image Classification (Q)
|
100% |
2005
372.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2518
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4422
71.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3919
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10128
11.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
18280
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
18021
21.1 IPS |
|
|
Object Detection (SP)
|
100% |
1240
98.4 IPS |
|
|
Object Detection (HP)
|
99% |
1523
120.8 IPS |
|
|
Object Detection (Q)
|
85% |
1518
122.2 IPS |
|
|
Face Detection (SP)
|
100% |
4179
49.7 IPS |
|
|
Face Detection (HP)
|
100% |
7707
91.6 IPS |
|
|
Face Detection (Q)
|
97% |
6541
78.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5152
39.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
7723
59.7 IPS |
|
|
Depth Estimation (Q)
|
61% |
5660
55.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12967
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
28162
36.2 IPS |
|
|
Style Transfer (Q)
|
98% |
27796
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2808
103.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4287
158.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4319
160.1 IPS |
|
|
Text Classification (SP)
|
35% |
65
633.2 IPS |
|
|
Text Classification (HP)
|
35% |
68
616.8 IPS |
|
|
Text Classification (Q)
|
33% |
54
603.8 IPS |
|
|
Machine Translation (SP)
|
100% |
804
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1324
22.8 IPS |
|
|
Machine Translation (Q)
|
48% |
502
19.2 IPS |
