Samsung Galaxy S25 Ultra
Geekbench AI Score
2615
Single Precision Score
3733
Half Precision Score
3380
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 13 2025 01:38 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-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% |
1683
312.9 IPS |
|
|
Image Classification (HP)
|
100% |
2632
489.6 IPS |
|
|
Image Classification (Q)
|
100% |
2389
444.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3007
48.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5184
84.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4889
79.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13684
16.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
11799
13.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
23199
27.2 IPS |
|
|
Object Detection (SP)
|
100% |
1617
128.3 IPS |
|
|
Object Detection (HP)
|
99% |
2044
162.1 IPS |
|
|
Object Detection (Q)
|
85% |
1883
151.6 IPS |
|
|
Face Detection (SP)
|
100% |
6112
72.6 IPS |
|
|
Face Detection (HP)
|
100% |
9794
116.4 IPS |
|
|
Face Detection (Q)
|
97% |
8256
98.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6451
49.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
8687
67.1 IPS |
|
|
Depth Estimation (Q)
|
61% |
6798
66.2 IPS |
|
|
Style Transfer (SP)
|
100% |
14786
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32531
41.8 IPS |
|
|
Style Transfer (Q)
|
98% |
32598
42.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3193
117.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4880
180.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5350
198.3 IPS |
|
|
Text Classification (SP)
|
35% |
77
750.3 IPS |
|
|
Text Classification (HP)
|
35% |
75
680.5 IPS |
|
|
Text Classification (Q)
|
33% |
62
693.9 IPS |
|
|
Machine Translation (SP)
|
100% |
932
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1577
27.2 IPS |
|
|
Machine Translation (Q)
|
48% |
630
24.2 IPS |
