Samsung Galaxy S25 Ultra
Geekbench AI Score
1613
Single Precision Score
1790
Half Precision Score
3097
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 21 2025 04:17 PM |
| Views | 3 |
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-S938W |
| 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% |
1230
228.7 IPS |
|
|
Image Classification (HP)
|
100% |
1382
256.9 IPS |
|
|
Image Classification (Q)
|
100% |
3720
691.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2245
36.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2324
37.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4185
68.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2985
3.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
3097
3.61 IPS |
|
|
Pose Estimation (Q)
|
84% |
7905
9.38 IPS |
|
|
Object Detection (SP)
|
98% |
910
72.4 IPS |
|
|
Object Detection (HP)
|
98% |
928
73.8 IPS |
|
|
Object Detection (Q)
|
83% |
1721
139.0 IPS |
|
|
Face Detection (SP)
|
100% |
2694
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
2808
33.4 IPS |
|
|
Face Detection (Q)
|
95% |
5715
68.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2340
18.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2609
20.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
6188
56.7 IPS |
|
|
Style Transfer (SP)
|
89% |
6926
8.99 IPS |
|
|
Style Transfer (HP)
|
89% |
6631
8.61 IPS |
|
|
Style Transfer (Q)
|
98% |
14575
18.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1354
50.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1291
47.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3680
136.4 IPS |
|
|
Text Classification (SP)
|
100% |
434
578.8 IPS |
|
|
Text Classification (HP)
|
99% |
439
586.2 IPS |
|
|
Text Classification (Q)
|
88% |
350
472.6 IPS |
|
|
Machine Translation (SP)
|
100% |
622
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1333
23.0 IPS |
|
|
Machine Translation (Q)
|
50% |
579
20.5 IPS |
