Samsung Galaxy S25 Ultra
Geekbench AI Score
2893
Single Precision Score
4589
Half Precision Score
3852
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 23 2025 10:51 PM |
| Views | 2 |
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-S938U1 |
| 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% |
1947
362.0 IPS |
|
|
Image Classification (HP)
|
100% |
2992
556.4 IPS |
|
|
Image Classification (Q)
|
100% |
2808
522.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3528
57.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5666
91.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6224
101.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13698
16.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
24877
29.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
24226
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
1547
122.7 IPS |
|
|
Object Detection (HP)
|
99% |
2138
169.6 IPS |
|
|
Object Detection (Q)
|
85% |
2024
163.0 IPS |
|
|
Face Detection (SP)
|
100% |
5486
65.2 IPS |
|
|
Face Detection (HP)
|
100% |
10434
124.0 IPS |
|
|
Face Detection (Q)
|
97% |
8883
105.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7090
54.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
9806
75.8 IPS |
|
|
Depth Estimation (Q)
|
61% |
7929
77.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17448
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35666
45.8 IPS |
|
|
Style Transfer (Q)
|
98% |
35270
45.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3492
128.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6699
247.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5791
214.6 IPS |
|
|
Text Classification (SP)
|
35% |
99
968.9 IPS |
|
|
Text Classification (HP)
|
35% |
94
858.2 IPS |
|
|
Text Classification (Q)
|
33% |
76
855.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1205
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2002
34.5 IPS |
|
|
Machine Translation (Q)
|
48% |
769
29.5 IPS |
