Samsung Galaxy S25 Ultra
Geekbench AI Score
2835
Single Precision Score
2814
Half Precision Score
5122
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | DPOUND |
| Upload Date | July 31 2025 01:16 PM |
| Views | 7 |
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% |
1878
349.3 IPS |
|
|
Image Classification (HP)
|
100% |
1887
350.9 IPS |
|
|
Image Classification (Q)
|
100% |
4262
792.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2442
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2265
36.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5090
82.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5750
6.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
5520
6.44 IPS |
|
|
Pose Estimation (Q)
|
84% |
13679
16.2 IPS |
|
|
Object Detection (SP)
|
98% |
1804
143.6 IPS |
|
|
Object Detection (HP)
|
98% |
1734
138.0 IPS |
|
|
Object Detection (Q)
|
83% |
3952
319.2 IPS |
|
|
Face Detection (SP)
|
100% |
4462
53.0 IPS |
|
|
Face Detection (HP)
|
100% |
4498
53.4 IPS |
|
|
Face Detection (Q)
|
95% |
9534
113.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
4401
34.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4346
33.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
10562
96.7 IPS |
|
|
Style Transfer (SP)
|
89% |
11695
15.2 IPS |
|
|
Style Transfer (HP)
|
89% |
11700
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
25199
32.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2392
88.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2448
90.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6593
244.3 IPS |
|
|
Text Classification (SP)
|
100% |
944
1.26 KIPS |
|
|
Text Classification (HP)
|
99% |
999
1.33 KIPS |
|
|
Text Classification (Q)
|
88% |
1086
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1362
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1362
23.5 IPS |
|
|
Machine Translation (Q)
|
50% |
584
20.7 IPS |
