Samsung Galaxy S25 Ultra
Geekbench AI Score
2296
Single Precision Score
2304
Half Precision Score
4044
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 29 2025 01:32 AM |
| Views | 3 |
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-S938U1 |
| 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% |
1588
295.3 IPS |
|
|
Image Classification (HP)
|
100% |
1703
316.7 IPS |
|
|
Image Classification (Q)
|
100% |
4061
755.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2244
36.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2091
33.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4807
78.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4941
5.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
5004
5.84 IPS |
|
|
Pose Estimation (Q)
|
84% |
12283
14.6 IPS |
|
|
Object Detection (SP)
|
98% |
1500
119.3 IPS |
|
|
Object Detection (HP)
|
98% |
1471
117.0 IPS |
|
|
Object Detection (Q)
|
83% |
2904
234.6 IPS |
|
|
Face Detection (SP)
|
100% |
3356
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
3554
42.2 IPS |
|
|
Face Detection (Q)
|
95% |
7942
94.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
4156
32.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3978
30.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
9969
91.3 IPS |
|
|
Style Transfer (SP)
|
89% |
10904
14.2 IPS |
|
|
Style Transfer (HP)
|
89% |
11003
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
22327
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1730
63.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1444
53.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4005
148.4 IPS |
|
|
Text Classification (SP)
|
100% |
476
634.8 IPS |
|
|
Text Classification (HP)
|
99% |
580
773.6 IPS |
|
|
Text Classification (Q)
|
88% |
577
777.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1235
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1239
21.3 IPS |
|
|
Machine Translation (Q)
|
50% |
412
14.6 IPS |
