Samsung Galaxy S25 Ultra
Geekbench AI Score
2540
Single Precision Score
2630
Half Precision Score
4543
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Zay |
| Upload Date | August 10 2025 06:17 PM |
| Views | 14 |
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% |
1967
365.8 IPS |
|
|
Image Classification (HP)
|
100% |
2002
372.3 IPS |
|
|
Image Classification (Q)
|
100% |
4454
828.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1707
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2343
38.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5121
83.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4883
5.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
4763
5.56 IPS |
|
|
Pose Estimation (Q)
|
84% |
12777
15.2 IPS |
|
|
Object Detection (SP)
|
98% |
1620
128.9 IPS |
|
|
Object Detection (HP)
|
98% |
1562
124.3 IPS |
|
|
Object Detection (Q)
|
83% |
3758
303.6 IPS |
|
|
Face Detection (SP)
|
100% |
4346
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
4342
51.6 IPS |
|
|
Face Detection (Q)
|
95% |
8924
106.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
4558
35.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4572
35.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
9181
84.1 IPS |
|
|
Style Transfer (SP)
|
89% |
11628
15.1 IPS |
|
|
Style Transfer (HP)
|
89% |
11548
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
23456
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2258
83.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2040
75.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5225
193.6 IPS |
|
|
Text Classification (SP)
|
100% |
589
786.8 IPS |
|
|
Text Classification (HP)
|
99% |
728
971.0 IPS |
|
|
Text Classification (Q)
|
88% |
665
896.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1377
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1335
23.0 IPS |
|
|
Machine Translation (Q)
|
50% |
513
18.2 IPS |
