Samsung Galaxy S25 Ultra
Geekbench AI Score
2499
Single Precision Score
3982
Half Precision Score
3167
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 02:09 AM |
| Views | 1 |
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-S938U |
| 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% |
1684
313.1 IPS |
|
|
Image Classification (HP)
|
100% |
2854
530.8 IPS |
|
|
Image Classification (Q)
|
100% |
2771
515.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3270
53.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5479
88.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5417
88.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13931
16.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
24688
28.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
19093
22.4 IPS |
|
|
Object Detection (SP)
|
100% |
1262
100.1 IPS |
|
|
Object Detection (HP)
|
99% |
1565
124.2 IPS |
|
|
Object Detection (Q)
|
85% |
1232
99.2 IPS |
|
|
Face Detection (SP)
|
100% |
4026
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
7332
87.1 IPS |
|
|
Face Detection (Q)
|
97% |
6710
80.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5542
42.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
8785
67.9 IPS |
|
|
Depth Estimation (Q)
|
61% |
6832
66.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15821
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37736
48.5 IPS |
|
|
Style Transfer (Q)
|
98% |
38797
50.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3665
135.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5730
211.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4449
164.9 IPS |
|
|
Text Classification (SP)
|
35% |
69
669.3 IPS |
|
|
Text Classification (HP)
|
35% |
68
621.3 IPS |
|
|
Text Classification (Q)
|
33% |
57
638.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1100
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1752
30.2 IPS |
|
|
Machine Translation (Q)
|
48% |
639
24.5 IPS |
