Samsung Galaxy S25 Ultra
Geekbench AI Score
2759
Single Precision Score
2775
Half Precision Score
4636
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 13 2025 01:52 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1962
364.9 IPS |
|
|
Image Classification (HP)
|
100% |
2049
381.1 IPS |
|
|
Image Classification (Q)
|
100% |
4511
839.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2454
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2491
40.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5471
89.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5543
6.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
5480
6.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
13590
16.1 IPS |
|
|
Object Detection (SP)
|
98% |
1739
138.4 IPS |
|
|
Object Detection (HP)
|
98% |
1730
137.7 IPS |
|
|
Object Detection (Q)
|
83% |
4039
326.3 IPS |
|
|
Face Detection (SP)
|
100% |
4541
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
4528
53.8 IPS |
|
|
Face Detection (Q)
|
95% |
9768
116.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
4763
36.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4735
36.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
10775
98.7 IPS |
|
|
Style Transfer (SP)
|
89% |
11086
14.4 IPS |
|
|
Style Transfer (HP)
|
89% |
11733
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
25077
32.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2257
83.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2205
81.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4782
177.2 IPS |
|
|
Text Classification (SP)
|
100% |
742
990.2 IPS |
|
|
Text Classification (HP)
|
99% |
752
1.00 KIPS |
|
|
Text Classification (Q)
|
88% |
643
867.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1375
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1345
23.2 IPS |
|
|
Machine Translation (Q)
|
50% |
418
14.8 IPS |
