Samsung Galaxy S25 Ultra
Geekbench AI Score
2801
Single Precision Score
2762
Half Precision Score
4917
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 26 2025 12:24 AM |
| 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-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% |
1944
361.5 IPS |
|
|
Image Classification (Q)
|
100% |
4366
812.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2414
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2389
38.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5163
83.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5591
6.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
5191
6.06 IPS |
|
|
Pose Estimation (Q)
|
84% |
14185
16.8 IPS |
|
|
Object Detection (SP)
|
98% |
1661
132.2 IPS |
|
|
Object Detection (HP)
|
98% |
1810
144.0 IPS |
|
|
Object Detection (Q)
|
83% |
3760
303.7 IPS |
|
|
Face Detection (SP)
|
100% |
4381
52.1 IPS |
|
|
Face Detection (HP)
|
100% |
4302
51.1 IPS |
|
|
Face Detection (Q)
|
95% |
9612
114.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
4728
36.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4808
37.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
10764
98.6 IPS |
|
|
Style Transfer (SP)
|
89% |
11540
15.0 IPS |
|
|
Style Transfer (HP)
|
89% |
11581
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
22869
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2285
84.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2084
76.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5217
193.3 IPS |
|
|
Text Classification (SP)
|
100% |
891
1.19 KIPS |
|
|
Text Classification (HP)
|
99% |
913
1.22 KIPS |
|
|
Text Classification (Q)
|
88% |
1019
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1389
23.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1303
22.4 IPS |
|
|
Machine Translation (Q)
|
50% |
547
19.4 IPS |
