Samsung Galaxy S25 Ultra
Geekbench AI Score
621
Single Precision Score
608
Half Precision Score
1324
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 23 2025 01:23 PM |
| Views | 3 |
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-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 | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
435
80.9 IPS |
|
|
Image Classification (HP)
|
100% |
431
80.2 IPS |
|
|
Image Classification (Q)
|
99% |
1095
204.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
545
8.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
546
8.86 IPS |
|
|
Image Segmentation (Q)
|
98% |
1077
17.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
702
0.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
673
0.78 IPS |
|
|
Pose Estimation (Q)
|
98% |
2480
2.90 IPS |
|
|
Object Detection (SP)
|
100% |
355
28.2 IPS |
|
|
Object Detection (HP)
|
100% |
335
26.6 IPS |
|
|
Object Detection (Q)
|
87% |
949
76.1 IPS |
|
|
Face Detection (SP)
|
100% |
905
10.8 IPS |
|
|
Face Detection (HP)
|
100% |
955
11.3 IPS |
|
|
Face Detection (Q)
|
97% |
2230
26.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
799
6.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
702
5.41 IPS |
|
|
Depth Estimation (Q)
|
64% |
1540
14.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1411
1.81 IPS |
|
|
Style Transfer (HP)
|
100% |
1172
1.51 IPS |
|
|
Style Transfer (Q)
|
98% |
2987
3.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
364
13.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
400
14.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1403
52.0 IPS |
|
|
Text Classification (SP)
|
100% |
467
623.3 IPS |
|
|
Text Classification (HP)
|
100% |
468
625.1 IPS |
|
|
Text Classification (Q)
|
91% |
720
967.4 IPS |
|
|
Machine Translation (SP)
|
100% |
833
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
890
15.3 IPS |
|
|
Machine Translation (Q)
|
57% |
576
14.1 IPS |
