Samsung Galaxy S25 Ultra
Geekbench AI Score
2158
Single Precision Score
2253
Half Precision Score
3672
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 02:20 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-S938Q |
| 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% |
1681
312.7 IPS |
|
|
Image Classification (HP)
|
100% |
1665
309.6 IPS |
|
|
Image Classification (Q)
|
100% |
3478
646.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
639
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1485
24.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2340
38.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5247
6.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
5045
5.89 IPS |
|
|
Pose Estimation (Q)
|
84% |
12015
14.2 IPS |
|
|
Object Detection (SP)
|
98% |
1567
124.7 IPS |
|
|
Object Detection (HP)
|
98% |
1254
99.8 IPS |
|
|
Object Detection (Q)
|
83% |
2503
202.2 IPS |
|
|
Face Detection (SP)
|
100% |
3372
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
3618
43.0 IPS |
|
|
Face Detection (Q)
|
95% |
7002
83.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
4108
31.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4078
31.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
10051
92.1 IPS |
|
|
Style Transfer (SP)
|
89% |
11009
14.3 IPS |
|
|
Style Transfer (HP)
|
89% |
10572
13.7 IPS |
|
|
Style Transfer (Q)
|
98% |
21448
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2000
73.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1766
65.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4239
157.1 IPS |
|
|
Text Classification (SP)
|
100% |
695
927.4 IPS |
|
|
Text Classification (HP)
|
99% |
687
917.5 IPS |
|
|
Text Classification (Q)
|
88% |
638
860.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1170
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1141
19.7 IPS |
|
|
Machine Translation (Q)
|
50% |
447
15.9 IPS |
