Samsung Galaxy S25 Ultra
Geekbench AI Score
2472
Single Precision Score
2457
Half Precision Score
4457
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 03 2025 05:52 PM |
| Views | 3 |
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% |
1717
319.4 IPS |
|
|
Image Classification (HP)
|
100% |
1733
322.4 IPS |
|
|
Image Classification (Q)
|
100% |
3935
731.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2201
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2197
35.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4944
80.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5234
6.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
4972
5.80 IPS |
|
|
Pose Estimation (Q)
|
84% |
11973
14.2 IPS |
|
|
Object Detection (SP)
|
98% |
1510
120.2 IPS |
|
|
Object Detection (HP)
|
98% |
1514
120.5 IPS |
|
|
Object Detection (Q)
|
83% |
3346
270.3 IPS |
|
|
Face Detection (SP)
|
100% |
3831
45.5 IPS |
|
|
Face Detection (HP)
|
100% |
3749
44.5 IPS |
|
|
Face Detection (Q)
|
95% |
8618
102.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3949
30.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3763
29.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
8507
77.9 IPS |
|
|
Style Transfer (SP)
|
89% |
10344
13.4 IPS |
|
|
Style Transfer (HP)
|
89% |
10592
13.7 IPS |
|
|
Style Transfer (Q)
|
98% |
22794
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2053
75.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2011
74.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5594
207.3 IPS |
|
|
Text Classification (SP)
|
100% |
771
1.03 KIPS |
|
|
Text Classification (HP)
|
99% |
815
1.09 KIPS |
|
|
Text Classification (Q)
|
88% |
905
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1156
19.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1143
19.7 IPS |
|
|
Machine Translation (Q)
|
50% |
470
16.7 IPS |
