Samsung Galaxy S25 Ultra
Geekbench AI Score
2730
Single Precision Score
2707
Half Precision Score
4652
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 02:00 AM |
| 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-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% |
2089
388.4 IPS |
|
|
Image Classification (HP)
|
100% |
2023
376.3 IPS |
|
|
Image Classification (Q)
|
100% |
4595
854.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2417
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2434
39.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5418
88.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5653
6.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
5504
6.42 IPS |
|
|
Pose Estimation (Q)
|
84% |
12731
15.1 IPS |
|
|
Object Detection (SP)
|
98% |
1640
130.5 IPS |
|
|
Object Detection (HP)
|
98% |
1582
125.9 IPS |
|
|
Object Detection (Q)
|
83% |
3514
283.9 IPS |
|
|
Face Detection (SP)
|
100% |
4230
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
3990
47.4 IPS |
|
|
Face Detection (Q)
|
95% |
8663
103.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
4203
32.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4188
32.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
10843
99.3 IPS |
|
|
Style Transfer (SP)
|
89% |
11600
15.1 IPS |
|
|
Style Transfer (HP)
|
89% |
11720
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
25160
32.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2180
80.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2249
83.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5296
196.2 IPS |
|
|
Text Classification (SP)
|
100% |
785
1.05 KIPS |
|
|
Text Classification (HP)
|
99% |
820
1.10 KIPS |
|
|
Text Classification (Q)
|
88% |
641
864.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1392
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1366
23.5 IPS |
|
|
Machine Translation (Q)
|
50% |
532
18.9 IPS |
