Samsung Galaxy S25 Ultra
Geekbench AI Score
599
Single Precision Score
585
Half Precision Score
1253
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 14 2025 06:27 PM |
| Views | 8 |
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% |
404
75.0 IPS |
|
|
Image Classification (HP)
|
100% |
394
73.3 IPS |
|
|
Image Classification (Q)
|
99% |
1012
188.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
515
8.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
464
7.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
900
14.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
642
0.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
614
0.72 IPS |
|
|
Pose Estimation (Q)
|
98% |
2263
2.65 IPS |
|
|
Object Detection (SP)
|
100% |
358
28.4 IPS |
|
|
Object Detection (HP)
|
100% |
334
26.5 IPS |
|
|
Object Detection (Q)
|
87% |
824
66.1 IPS |
|
|
Face Detection (SP)
|
100% |
811
9.64 IPS |
|
|
Face Detection (HP)
|
100% |
865
10.3 IPS |
|
|
Face Detection (Q)
|
97% |
1960
23.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
763
5.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
701
5.40 IPS |
|
|
Depth Estimation (Q)
|
64% |
1464
13.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1333
1.71 IPS |
|
|
Style Transfer (HP)
|
100% |
1175
1.51 IPS |
|
|
Style Transfer (Q)
|
98% |
3124
4.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
338
12.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
390
14.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1383
51.2 IPS |
|
|
Text Classification (SP)
|
100% |
502
670.6 IPS |
|
|
Text Classification (HP)
|
100% |
506
675.4 IPS |
|
|
Text Classification (Q)
|
91% |
778
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
889
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
897
15.5 IPS |
|
|
Machine Translation (Q)
|
57% |
583
14.3 IPS |
