Samsung Galaxy S25 Ultra
Geekbench AI Score
2763
Single Precision Score
2759
Half Precision Score
5080
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | mersa |
| Upload Date | August 16 2025 09:06 AM |
| Views | 20 |
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% |
1872
348.2 IPS |
|
|
Image Classification (HP)
|
100% |
1892
351.9 IPS |
|
|
Image Classification (Q)
|
100% |
4312
801.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2373
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2301
37.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5368
87.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5274
6.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
5317
6.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
12919
15.3 IPS |
|
|
Object Detection (SP)
|
98% |
1656
131.8 IPS |
|
|
Object Detection (HP)
|
98% |
1690
134.5 IPS |
|
|
Object Detection (Q)
|
83% |
3943
318.5 IPS |
|
|
Face Detection (SP)
|
100% |
4409
52.4 IPS |
|
|
Face Detection (HP)
|
100% |
4422
52.5 IPS |
|
|
Face Detection (Q)
|
95% |
10115
120.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
4636
35.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4579
35.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
10714
98.1 IPS |
|
|
Style Transfer (SP)
|
89% |
11646
15.1 IPS |
|
|
Style Transfer (HP)
|
89% |
11516
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
25028
32.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2270
83.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2257
83.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6583
243.9 IPS |
|
|
Text Classification (SP)
|
100% |
924
1.23 KIPS |
|
|
Text Classification (HP)
|
99% |
922
1.23 KIPS |
|
|
Text Classification (Q)
|
88% |
979
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1343
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1349
23.2 IPS |
|
|
Machine Translation (Q)
|
50% |
556
19.7 IPS |
