Samsung Galaxy S25 Ultra
Geekbench AI Score
2460
Single Precision Score
2505
Half Precision Score
4434
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | January 14 2026 05:16 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-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% |
2119
394.0 IPS |
|
|
Image Classification (HP)
|
100% |
1875
348.7 IPS |
|
|
Image Classification (Q)
|
100% |
4357
810.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2337
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2402
38.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5166
84.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5185
6.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
5165
6.03 IPS |
|
|
Pose Estimation (Q)
|
84% |
12160
14.4 IPS |
|
|
Object Detection (SP)
|
98% |
1448
115.3 IPS |
|
|
Object Detection (HP)
|
98% |
1357
108.0 IPS |
|
|
Object Detection (Q)
|
83% |
3084
249.1 IPS |
|
|
Face Detection (SP)
|
100% |
3459
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
3320
39.4 IPS |
|
|
Face Detection (Q)
|
95% |
7763
92.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
4070
31.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4505
34.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
10461
95.8 IPS |
|
|
Style Transfer (SP)
|
89% |
11520
15.0 IPS |
|
|
Style Transfer (HP)
|
89% |
11349
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
21591
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1695
62.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1689
62.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4521
167.5 IPS |
|
|
Text Classification (SP)
|
100% |
567
757.0 IPS |
|
|
Text Classification (HP)
|
99% |
797
1.06 KIPS |
|
|
Text Classification (Q)
|
88% |
830
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1405
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1349
23.2 IPS |
|
|
Machine Translation (Q)
|
50% |
529
18.8 IPS |
