Samsung Galaxy S25 Ultra
Geekbench AI Score
2166
Single Precision Score
2253
Half Precision Score
3774
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 29 2025 01:35 AM |
| Views | 5 |
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-S938U1 |
| 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% |
1735
322.6 IPS |
|
|
Image Classification (HP)
|
100% |
1769
328.9 IPS |
|
|
Image Classification (Q)
|
100% |
3979
739.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2223
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4730
76.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4585
5.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
4431
5.17 IPS |
|
|
Pose Estimation (Q)
|
84% |
8157
9.67 IPS |
|
|
Object Detection (SP)
|
98% |
958
76.2 IPS |
|
|
Object Detection (HP)
|
98% |
1067
84.9 IPS |
|
|
Object Detection (Q)
|
83% |
2787
225.1 IPS |
|
|
Face Detection (SP)
|
100% |
3246
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
3626
43.1 IPS |
|
|
Face Detection (Q)
|
95% |
7809
93.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4081
31.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4218
32.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
7688
70.4 IPS |
|
|
Style Transfer (SP)
|
89% |
10147
13.2 IPS |
|
|
Style Transfer (HP)
|
89% |
10686
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
23067
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1628
60.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1464
54.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3380
125.3 IPS |
|
|
Text Classification (SP)
|
100% |
491
655.9 IPS |
|
|
Text Classification (HP)
|
99% |
646
862.9 IPS |
|
|
Text Classification (Q)
|
88% |
615
830.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1250
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1229
21.2 IPS |
|
|
Machine Translation (Q)
|
50% |
477
16.9 IPS |
