Samsung Galaxy S25 Ultra
Geekbench AI Score
2102
Single Precision Score
3220
Half Precision Score
2733
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 15 2025 01:56 PM |
| Views | 1 |
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% |
1273
236.8 IPS |
|
|
Image Classification (HP)
|
100% |
1837
341.6 IPS |
|
|
Image Classification (Q)
|
100% |
2013
374.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2480
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4063
65.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3881
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10189
11.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
18202
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17821
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
1270
100.7 IPS |
|
|
Object Detection (HP)
|
99% |
1550
122.9 IPS |
|
|
Object Detection (Q)
|
85% |
1484
119.4 IPS |
|
|
Face Detection (SP)
|
100% |
4298
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
7693
91.4 IPS |
|
|
Face Detection (Q)
|
97% |
6511
77.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5192
40.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
7379
57.0 IPS |
|
|
Depth Estimation (Q)
|
61% |
5742
55.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12923
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
28452
36.6 IPS |
|
|
Style Transfer (Q)
|
98% |
28048
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2829
104.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4456
164.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4361
161.6 IPS |
|
|
Text Classification (SP)
|
35% |
66
640.7 IPS |
|
|
Text Classification (HP)
|
35% |
66
599.7 IPS |
|
|
Text Classification (Q)
|
33% |
52
586.9 IPS |
|
|
Machine Translation (SP)
|
100% |
766
13.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1200
20.7 IPS |
|
|
Machine Translation (Q)
|
48% |
474
18.2 IPS |
