Samsung Galaxy S25 Ultra
Geekbench AI Score
646
Single Precision Score
629
Half Precision Score
1368
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 25 2025 05:08 PM |
| Views | 2 |
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% |
446
82.9 IPS |
|
|
Image Classification (HP)
|
100% |
437
81.3 IPS |
|
|
Image Classification (Q)
|
99% |
1068
199.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
565
9.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
563
9.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
1122
18.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
741
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
698
0.81 IPS |
|
|
Pose Estimation (Q)
|
98% |
2527
2.96 IPS |
|
|
Object Detection (SP)
|
100% |
358
28.4 IPS |
|
|
Object Detection (HP)
|
100% |
358
28.4 IPS |
|
|
Object Detection (Q)
|
87% |
943
75.6 IPS |
|
|
Face Detection (SP)
|
100% |
920
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
975
11.6 IPS |
|
|
Face Detection (Q)
|
97% |
2250
26.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
852
6.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
766
5.90 IPS |
|
|
Depth Estimation (Q)
|
64% |
1740
15.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1354
1.74 IPS |
|
|
Style Transfer (HP)
|
100% |
1185
1.52 IPS |
|
|
Style Transfer (Q)
|
98% |
3169
4.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
402
14.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
402
14.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1402
51.9 IPS |
|
|
Text Classification (SP)
|
100% |
503
671.7 IPS |
|
|
Text Classification (HP)
|
100% |
505
674.0 IPS |
|
|
Text Classification (Q)
|
91% |
776
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
883
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
889
15.3 IPS |
|
|
Machine Translation (Q)
|
57% |
599
14.6 IPS |
