Samsung Galaxy S25 Ultra
Geekbench AI Score
2517
Single Precision Score
2499
Half Precision Score
4651
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 25 2025 10:15 PM |
| Views | 2 |
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-S938U |
| 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% |
1872
348.0 IPS |
|
|
Image Classification (HP)
|
100% |
1906
354.5 IPS |
|
|
Image Classification (Q)
|
100% |
4291
798.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2401
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2372
38.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5169
84.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4910
5.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
4780
5.58 IPS |
|
|
Pose Estimation (Q)
|
84% |
12049
14.3 IPS |
|
|
Object Detection (SP)
|
98% |
1480
117.8 IPS |
|
|
Object Detection (HP)
|
98% |
1435
114.2 IPS |
|
|
Object Detection (Q)
|
83% |
3643
294.3 IPS |
|
|
Face Detection (SP)
|
100% |
4072
48.4 IPS |
|
|
Face Detection (HP)
|
100% |
3854
45.8 IPS |
|
|
Face Detection (Q)
|
95% |
8983
107.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3708
28.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3962
30.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
9531
87.3 IPS |
|
|
Style Transfer (SP)
|
89% |
10213
13.3 IPS |
|
|
Style Transfer (HP)
|
89% |
9978
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
20847
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2022
74.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2005
74.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6061
224.6 IPS |
|
|
Text Classification (SP)
|
100% |
892
1.19 KIPS |
|
|
Text Classification (HP)
|
99% |
916
1.22 KIPS |
|
|
Text Classification (Q)
|
88% |
983
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1127
19.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1097
18.9 IPS |
|
|
Machine Translation (Q)
|
50% |
458
16.2 IPS |
