Samsung Galaxy S25 Ultra
Geekbench AI Score
2803
Single Precision Score
2756
Half Precision Score
4452
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | kasid |
| Upload Date | September 24 2025 05:36 PM |
| Views | 4 |
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% |
2235
415.6 IPS |
|
|
Image Classification (HP)
|
100% |
2078
386.4 IPS |
|
|
Image Classification (Q)
|
100% |
4240
788.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2398
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2443
39.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5309
86.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5433
6.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
5249
6.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
12574
14.9 IPS |
|
|
Object Detection (SP)
|
98% |
1687
134.3 IPS |
|
|
Object Detection (HP)
|
98% |
1677
133.4 IPS |
|
|
Object Detection (Q)
|
83% |
2166
175.0 IPS |
|
|
Face Detection (SP)
|
100% |
4505
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
4391
52.2 IPS |
|
|
Face Detection (Q)
|
95% |
9076
108.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
4558
35.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4581
35.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
10521
96.4 IPS |
|
|
Style Transfer (SP)
|
89% |
11716
15.2 IPS |
|
|
Style Transfer (HP)
|
89% |
11680
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
22242
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2298
84.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2041
75.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4898
181.5 IPS |
|
|
Text Classification (SP)
|
100% |
799
1.07 KIPS |
|
|
Text Classification (HP)
|
99% |
846
1.13 KIPS |
|
|
Text Classification (Q)
|
88% |
897
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1383
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1397
24.1 IPS |
|
|
Machine Translation (Q)
|
50% |
535
19.0 IPS |
