Samsung Galaxy S25 Ultra
Geekbench AI Score
2846
Single Precision Score
2851
Half Precision Score
5200
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 07 2025 05:14 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S25 Ultra |
| Model ID | samsung SM-S938U |
| 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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1964
365.2 IPS |
|
|
Image Classification (HP)
|
100% |
1988
369.7 IPS |
|
|
Image Classification (Q)
|
100% |
4573
850.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2495
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2421
39.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5497
89.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5539
6.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
5462
6.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
13165
15.6 IPS |
|
|
Object Detection (SP)
|
98% |
1736
138.1 IPS |
|
|
Object Detection (HP)
|
98% |
1770
140.8 IPS |
|
|
Object Detection (Q)
|
83% |
4025
325.1 IPS |
|
|
Face Detection (SP)
|
100% |
4285
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
4377
52.0 IPS |
|
|
Face Detection (Q)
|
95% |
9651
115.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4637
35.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4642
35.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
10579
96.9 IPS |
|
|
Style Transfer (SP)
|
89% |
11257
14.6 IPS |
|
|
Style Transfer (HP)
|
89% |
11696
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
25613
33.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2471
91.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2406
88.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6689
247.9 IPS |
|
|
Text Classification (SP)
|
100% |
995
1.33 KIPS |
|
|
Text Classification (HP)
|
99% |
989
1.32 KIPS |
|
|
Text Classification (Q)
|
88% |
1052
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1347
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1351
23.3 IPS |
|
|
Machine Translation (Q)
|
50% |
590
21.0 IPS |
