Samsung Galaxy S25 Ultra
Geekbench AI Score
2848
Single Precision Score
4388
Half Precision Score
3844
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | fang1121cs |
| Upload Date | January 08 2026 12:27 PM |
| Views | 7 |
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-S9380 |
| 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% |
1661
308.9 IPS |
|
|
Image Classification (HP)
|
100% |
2823
525.0 IPS |
|
|
Image Classification (Q)
|
100% |
2923
543.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3790
61.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6530
105.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
6538
106.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14034
16.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
24727
28.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
24394
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
1553
123.2 IPS |
|
|
Object Detection (HP)
|
99% |
2009
159.4 IPS |
|
|
Object Detection (Q)
|
85% |
2319
186.7 IPS |
|
|
Face Detection (SP)
|
100% |
5312
63.1 IPS |
|
|
Face Detection (HP)
|
100% |
9389
111.6 IPS |
|
|
Face Detection (Q)
|
97% |
8245
98.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7077
54.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
9656
74.6 IPS |
|
|
Depth Estimation (Q)
|
61% |
7492
73.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17480
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38670
49.7 IPS |
|
|
Style Transfer (Q)
|
98% |
37795
48.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3710
137.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5692
210.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5683
210.6 IPS |
|
|
Text Classification (SP)
|
35% |
98
955.5 IPS |
|
|
Text Classification (HP)
|
35% |
86
785.5 IPS |
|
|
Text Classification (Q)
|
33% |
70
778.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1074
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1686
29.0 IPS |
|
|
Machine Translation (Q)
|
48% |
703
27.0 IPS |
