Samsung Galaxy S25 Ultra
Geekbench AI Score
2759
Single Precision Score
4257
Half Precision Score
3701
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 02 2026 09:02 PM |
| Views | 2 |
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% |
1644
305.7 IPS |
|
|
Image Classification (HP)
|
100% |
2698
501.8 IPS |
|
|
Image Classification (Q)
|
100% |
2894
538.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3180
51.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5164
83.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5058
82.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13789
16.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
24719
28.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
24204
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
1548
122.8 IPS |
|
|
Object Detection (HP)
|
99% |
1984
157.4 IPS |
|
|
Object Detection (Q)
|
85% |
1917
154.4 IPS |
|
|
Face Detection (SP)
|
100% |
5533
65.7 IPS |
|
|
Face Detection (HP)
|
100% |
9517
113.1 IPS |
|
|
Face Detection (Q)
|
97% |
8479
101.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7066
54.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
9560
73.9 IPS |
|
|
Depth Estimation (Q)
|
61% |
7463
72.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17359
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38133
49.0 IPS |
|
|
Style Transfer (Q)
|
98% |
37414
48.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3725
137.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5690
210.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5861
217.2 IPS |
|
|
Text Classification (SP)
|
35% |
86
834.8 IPS |
|
|
Text Classification (HP)
|
35% |
92
838.8 IPS |
|
|
Text Classification (Q)
|
33% |
74
823.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1057
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1575
27.1 IPS |
|
|
Machine Translation (Q)
|
48% |
693
26.6 IPS |
