Samsung Galaxy S25 Ultra
Geekbench AI Score
2892
Single Precision Score
2847
Half Precision Score
5210
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 05 2025 08:58 PM |
| 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-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% |
1954
363.4 IPS |
|
|
Image Classification (HP)
|
100% |
1888
351.1 IPS |
|
|
Image Classification (Q)
|
100% |
4696
873.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2478
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2490
40.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5368
87.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5733
6.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
5483
6.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
13596
16.1 IPS |
|
|
Object Detection (SP)
|
98% |
1742
138.7 IPS |
|
|
Object Detection (HP)
|
98% |
1734
138.0 IPS |
|
|
Object Detection (Q)
|
83% |
4031
325.6 IPS |
|
|
Face Detection (SP)
|
100% |
4262
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
4541
54.0 IPS |
|
|
Face Detection (Q)
|
95% |
10031
119.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
4743
36.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4631
35.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
10422
95.5 IPS |
|
|
Style Transfer (SP)
|
89% |
11827
15.4 IPS |
|
|
Style Transfer (HP)
|
89% |
11676
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
25827
33.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2472
91.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2473
91.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6697
248.2 IPS |
|
|
Text Classification (SP)
|
100% |
1010
1.35 KIPS |
|
|
Text Classification (HP)
|
99% |
986
1.32 KIPS |
|
|
Text Classification (Q)
|
88% |
1086
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1422
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1311
22.6 IPS |
|
|
Machine Translation (Q)
|
50% |
544
19.3 IPS |
