Samsung Galaxy S25 Ultra
Geekbench AI Score
2581
Single Precision Score
3921
Half Precision Score
3251
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | DPOUND |
| Upload Date | July 31 2025 01:19 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1771
329.4 IPS |
|
|
Image Classification (HP)
|
100% |
2444
454.5 IPS |
|
|
Image Classification (Q)
|
100% |
2486
462.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3087
50.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4742
76.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4482
72.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13503
15.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
24441
28.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
22967
26.9 IPS |
|
|
Object Detection (SP)
|
100% |
1523
120.8 IPS |
|
|
Object Detection (HP)
|
99% |
1664
132.0 IPS |
|
|
Object Detection (Q)
|
85% |
1600
128.8 IPS |
|
|
Face Detection (SP)
|
100% |
4454
52.9 IPS |
|
|
Face Detection (HP)
|
100% |
7778
92.4 IPS |
|
|
Face Detection (Q)
|
97% |
6203
74.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5776
44.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10252
79.2 IPS |
|
|
Depth Estimation (Q)
|
61% |
7487
73.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17432
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38352
49.3 IPS |
|
|
Style Transfer (Q)
|
98% |
38158
49.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3712
137.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5721
211.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4908
181.9 IPS |
|
|
Text Classification (SP)
|
35% |
74
724.0 IPS |
|
|
Text Classification (HP)
|
35% |
75
678.5 IPS |
|
|
Text Classification (Q)
|
33% |
60
677.4 IPS |
|
|
Machine Translation (SP)
|
100% |
950
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1390
23.9 IPS |
|
|
Machine Translation (Q)
|
48% |
618
23.7 IPS |
