Samsung Galaxy S25 Ultra
Geekbench AI Score
2850
Single Precision Score
2904
Half Precision Score
5259
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 30 2025 11:39 AM |
| 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% |
1687
313.7 IPS |
|
|
Image Classification (HP)
|
100% |
1974
367.1 IPS |
|
|
Image Classification (Q)
|
100% |
4540
844.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2462
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2558
41.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5450
88.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5766
6.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
5540
6.46 IPS |
|
|
Pose Estimation (Q)
|
84% |
13796
16.4 IPS |
|
|
Object Detection (SP)
|
98% |
1766
140.5 IPS |
|
|
Object Detection (HP)
|
98% |
1759
139.9 IPS |
|
|
Object Detection (Q)
|
83% |
4005
323.5 IPS |
|
|
Face Detection (SP)
|
100% |
4566
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
4520
53.7 IPS |
|
|
Face Detection (Q)
|
95% |
9918
118.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
4738
36.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4662
36.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
10627
97.3 IPS |
|
|
Style Transfer (SP)
|
89% |
11506
14.9 IPS |
|
|
Style Transfer (HP)
|
89% |
11598
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
25442
32.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2445
90.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2488
91.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6842
253.5 IPS |
|
|
Text Classification (SP)
|
100% |
1003
1.34 KIPS |
|
|
Text Classification (HP)
|
99% |
1019
1.36 KIPS |
|
|
Text Classification (Q)
|
88% |
1087
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1372
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1403
24.2 IPS |
|
|
Machine Translation (Q)
|
50% |
594
21.1 IPS |
