Samsung Galaxy S25 Ultra
Geekbench AI Score
2809
Single Precision Score
2787
Half Precision Score
4463
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 31 2025 01:52 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2075
386.0 IPS |
|
|
Image Classification (HP)
|
100% |
2125
395.2 IPS |
|
|
Image Classification (Q)
|
100% |
4706
875.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2464
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2513
40.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5286
86.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5566
6.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
5596
6.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
14388
17.1 IPS |
|
|
Object Detection (SP)
|
98% |
1742
138.6 IPS |
|
|
Object Detection (HP)
|
98% |
1692
134.6 IPS |
|
|
Object Detection (Q)
|
83% |
4161
336.1 IPS |
|
|
Face Detection (SP)
|
100% |
4658
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
4553
54.1 IPS |
|
|
Face Detection (Q)
|
95% |
9540
113.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4737
36.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4744
36.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
10367
95.0 IPS |
|
|
Style Transfer (SP)
|
89% |
11682
15.2 IPS |
|
|
Style Transfer (HP)
|
89% |
11444
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
21909
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2062
76.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2062
76.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4685
173.6 IPS |
|
|
Text Classification (SP)
|
100% |
819
1.09 KIPS |
|
|
Text Classification (HP)
|
99% |
782
1.04 KIPS |
|
|
Text Classification (Q)
|
88% |
357
481.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1421
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1404
24.2 IPS |
|
|
Machine Translation (Q)
|
50% |
582
20.7 IPS |
