Samsung Galaxy S25 Ultra
Geekbench AI Score
2771
Single Precision Score
2798
Half Precision Score
5013
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | rennsport |
| Upload Date | October 20 2025 12:12 PM |
| Views | 11 |
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-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% |
1651
307.0 IPS |
|
|
Image Classification (HP)
|
100% |
2072
385.3 IPS |
|
|
Image Classification (Q)
|
100% |
4465
830.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2406
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2508
40.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5306
86.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5467
6.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
5251
6.13 IPS |
|
|
Pose Estimation (Q)
|
84% |
12979
15.4 IPS |
|
|
Object Detection (SP)
|
98% |
1693
134.7 IPS |
|
|
Object Detection (HP)
|
98% |
1697
135.0 IPS |
|
|
Object Detection (Q)
|
83% |
4000
323.1 IPS |
|
|
Face Detection (SP)
|
100% |
4549
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
4343
51.6 IPS |
|
|
Face Detection (Q)
|
95% |
9893
118.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
4675
36.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4484
34.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
10554
96.7 IPS |
|
|
Style Transfer (SP)
|
89% |
11430
14.8 IPS |
|
|
Style Transfer (HP)
|
89% |
11283
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
25355
32.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2279
84.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2247
83.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6081
225.3 IPS |
|
|
Text Classification (SP)
|
100% |
935
1.25 KIPS |
|
|
Text Classification (HP)
|
99% |
935
1.25 KIPS |
|
|
Text Classification (Q)
|
88% |
895
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1402
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1380
23.8 IPS |
|
|
Machine Translation (Q)
|
50% |
566
20.1 IPS |
