Samsung Galaxy S25 Ultra
Geekbench AI Score
2534
Single Precision Score
2516
Half Precision Score
4290
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 06 2025 09:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
2152
400.3 IPS |
|
|
Image Classification (HP)
|
100% |
2059
382.8 IPS |
|
|
Image Classification (Q)
|
100% |
4683
870.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2501
40.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2526
40.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5572
90.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5480
6.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
5315
6.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
13403
15.9 IPS |
|
|
Object Detection (SP)
|
98% |
1460
116.2 IPS |
|
|
Object Detection (HP)
|
98% |
1194
95.0 IPS |
|
|
Object Detection (Q)
|
83% |
2376
192.0 IPS |
|
|
Face Detection (SP)
|
100% |
3243
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
3512
41.7 IPS |
|
|
Face Detection (Q)
|
95% |
7820
93.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
4509
34.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4772
36.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
10043
92.0 IPS |
|
|
Style Transfer (SP)
|
89% |
10984
14.3 IPS |
|
|
Style Transfer (HP)
|
89% |
11681
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
21485
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1908
70.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1543
57.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3914
145.0 IPS |
|
|
Text Classification (SP)
|
100% |
593
791.6 IPS |
|
|
Text Classification (HP)
|
99% |
727
970.6 IPS |
|
|
Text Classification (Q)
|
88% |
692
933.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1398
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1407
24.2 IPS |
|
|
Machine Translation (Q)
|
50% |
557
19.8 IPS |
