Samsung Galaxy S25 Ultra
Geekbench AI Score
545
Single Precision Score
552
Half Precision Score
1171
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 07 2025 09:27 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S25 Ultra |
| Model ID | samsung SM-S938N |
| 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% |
369
68.6 IPS |
|
|
Image Classification (HP)
|
100% |
375
69.8 IPS |
|
|
Image Classification (Q)
|
99% |
929
173.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
490
7.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
463
7.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
878
14.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
607
0.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
596
0.70 IPS |
|
|
Pose Estimation (Q)
|
98% |
2089
2.45 IPS |
|
|
Object Detection (SP)
|
100% |
303
24.0 IPS |
|
|
Object Detection (HP)
|
100% |
333
26.4 IPS |
|
|
Object Detection (Q)
|
87% |
891
71.5 IPS |
|
|
Face Detection (SP)
|
100% |
848
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
778
9.25 IPS |
|
|
Face Detection (Q)
|
97% |
1802
21.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
682
5.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
755
5.82 IPS |
|
|
Depth Estimation (Q)
|
64% |
1523
13.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1169
1.50 IPS |
|
|
Style Transfer (HP)
|
100% |
1085
1.39 IPS |
|
|
Style Transfer (Q)
|
98% |
2891
3.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
309
11.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
338
12.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1204
44.6 IPS |
|
|
Text Classification (SP)
|
100% |
433
578.4 IPS |
|
|
Text Classification (HP)
|
100% |
467
622.8 IPS |
|
|
Text Classification (Q)
|
91% |
718
964.6 IPS |
|
|
Machine Translation (SP)
|
100% |
769
13.2 IPS |
|
|
Machine Translation (HP)
|
100% |
767
13.2 IPS |
|
|
Machine Translation (Q)
|
57% |
467
11.4 IPS |
