Samsung Galaxy S25 Ultra
Geekbench AI Score
2603
Single Precision Score
3881
Half Precision Score
3430
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 14 2025 06:19 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S25 Ultra |
| Model ID | samsung SM-S938N |
| 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% |
1777
330.5 IPS |
|
|
Image Classification (HP)
|
100% |
2707
503.4 IPS |
|
|
Image Classification (Q)
|
100% |
2918
542.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3349
54.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6199
100.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
6819
110.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13720
16.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
24259
28.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
24089
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
1509
119.7 IPS |
|
|
Object Detection (HP)
|
99% |
1599
126.8 IPS |
|
|
Object Detection (Q)
|
85% |
1484
119.5 IPS |
|
|
Face Detection (SP)
|
100% |
4415
52.5 IPS |
|
|
Face Detection (HP)
|
100% |
7624
90.6 IPS |
|
|
Face Detection (Q)
|
97% |
6737
80.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5361
41.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
9652
74.6 IPS |
|
|
Depth Estimation (Q)
|
61% |
7564
73.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17319
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
29390
37.8 IPS |
|
|
Style Transfer (Q)
|
98% |
29349
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3020
111.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4913
181.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4781
177.2 IPS |
|
|
Text Classification (SP)
|
35% |
92
900.8 IPS |
|
|
Text Classification (HP)
|
35% |
71
647.6 IPS |
|
|
Text Classification (Q)
|
33% |
72
811.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1020
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1579
27.2 IPS |
|
|
Machine Translation (Q)
|
48% |
616
23.6 IPS |
