Samsung Galaxy S25 Ultra
Geekbench AI Score
670
Single Precision Score
666
Half Precision Score
1418
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | abhimanbhau |
| Upload Date | January 09 2026 03:58 AM |
| Views | 5 |
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-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% |
452
84.1 IPS |
|
|
Image Classification (HP)
|
100% |
448
83.4 IPS |
|
|
Image Classification (Q)
|
99% |
1105
206.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
572
9.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
573
9.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
1156
18.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
749
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
699
0.82 IPS |
|
|
Pose Estimation (Q)
|
98% |
2892
3.39 IPS |
|
|
Object Detection (SP)
|
100% |
380
30.1 IPS |
|
|
Object Detection (HP)
|
100% |
411
32.6 IPS |
|
|
Object Detection (Q)
|
87% |
1084
87.0 IPS |
|
|
Face Detection (SP)
|
100% |
1036
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
1043
12.4 IPS |
|
|
Face Detection (Q)
|
97% |
1962
23.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
845
6.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
841
6.48 IPS |
|
|
Depth Estimation (Q)
|
64% |
1794
16.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1413
1.82 IPS |
|
|
Style Transfer (HP)
|
100% |
1396
1.79 IPS |
|
|
Style Transfer (Q)
|
98% |
3622
4.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
429
15.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
410
15.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1380
51.1 IPS |
|
|
Text Classification (SP)
|
100% |
506
674.8 IPS |
|
|
Text Classification (HP)
|
100% |
506
675.9 IPS |
|
|
Text Classification (Q)
|
91% |
778
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
933
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
925
15.9 IPS |
|
|
Machine Translation (Q)
|
57% |
600
14.7 IPS |
