Samsung Galaxy S25 Ultra
Geekbench AI Score
2926
Single Precision Score
2923
Half Precision Score
5278
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 02 2026 12:01 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
2033
378.1 IPS |
|
|
Image Classification (HP)
|
100% |
2067
384.4 IPS |
|
|
Image Classification (Q)
|
100% |
4490
835.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2479
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2470
40.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5188
84.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5698
6.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
5672
6.62 IPS |
|
|
Pose Estimation (Q)
|
84% |
14108
16.7 IPS |
|
|
Object Detection (SP)
|
98% |
1784
142.0 IPS |
|
|
Object Detection (HP)
|
98% |
1822
145.0 IPS |
|
|
Object Detection (Q)
|
83% |
4098
331.0 IPS |
|
|
Face Detection (SP)
|
100% |
4443
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
4583
54.5 IPS |
|
|
Face Detection (Q)
|
95% |
10092
120.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
4766
36.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4726
36.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
11010
100.8 IPS |
|
|
Style Transfer (SP)
|
89% |
12093
15.7 IPS |
|
|
Style Transfer (HP)
|
89% |
11830
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
25512
32.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2521
93.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2492
92.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6971
258.3 IPS |
|
|
Text Classification (SP)
|
100% |
991
1.32 KIPS |
|
|
Text Classification (HP)
|
99% |
1008
1.34 KIPS |
|
|
Text Classification (Q)
|
88% |
1095
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1405
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1342
23.1 IPS |
|
|
Machine Translation (Q)
|
50% |
576
20.5 IPS |
