Samsung Galaxy S25 Ultra
Geekbench AI Score
2597
Single Precision Score
3913
Half Precision Score
3313
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | mohanadsinan |
| Upload Date | October 09 2025 10:16 PM |
| Views | 6 |
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% |
1617
300.7 IPS |
|
|
Image Classification (HP)
|
100% |
2877
535.1 IPS |
|
|
Image Classification (Q)
|
100% |
2168
403.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3442
55.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4475
72.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4717
76.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13746
16.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
23249
27.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
22658
26.6 IPS |
|
|
Object Detection (SP)
|
100% |
1436
113.9 IPS |
|
|
Object Detection (HP)
|
99% |
1925
152.7 IPS |
|
|
Object Detection (Q)
|
85% |
1836
147.8 IPS |
|
|
Face Detection (SP)
|
100% |
5266
62.6 IPS |
|
|
Face Detection (HP)
|
100% |
8376
99.5 IPS |
|
|
Face Detection (Q)
|
97% |
7670
91.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6494
50.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
7445
57.5 IPS |
|
|
Depth Estimation (Q)
|
61% |
6890
67.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16165
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35974
46.2 IPS |
|
|
Style Transfer (Q)
|
98% |
35568
45.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3406
125.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5098
188.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5481
203.1 IPS |
|
|
Text Classification (SP)
|
35% |
67
654.2 IPS |
|
|
Text Classification (HP)
|
35% |
69
626.2 IPS |
|
|
Text Classification (Q)
|
33% |
53
588.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1008
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1854
31.9 IPS |
|
|
Machine Translation (Q)
|
48% |
687
26.4 IPS |
