Samsung Galaxy S25 Ultra
Geekbench AI Score
2706
Single Precision Score
2633
Half Precision Score
4240
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 28 2025 11:36 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-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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2144
398.8 IPS |
|
|
Image Classification (HP)
|
100% |
2037
378.8 IPS |
|
|
Image Classification (Q)
|
100% |
4709
875.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2526
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2532
41.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5568
90.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5599
6.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
5489
6.41 IPS |
|
|
Pose Estimation (Q)
|
84% |
14085
16.7 IPS |
|
|
Object Detection (SP)
|
98% |
1639
130.4 IPS |
|
|
Object Detection (HP)
|
98% |
1457
115.9 IPS |
|
|
Object Detection (Q)
|
83% |
3012
243.3 IPS |
|
|
Face Detection (SP)
|
100% |
3636
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
3963
47.1 IPS |
|
|
Face Detection (Q)
|
95% |
8876
106.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
4605
35.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4626
35.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
11008
100.8 IPS |
|
|
Style Transfer (SP)
|
89% |
12263
15.9 IPS |
|
|
Style Transfer (HP)
|
89% |
11310
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
24312
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2164
79.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1851
68.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3380
125.2 IPS |
|
|
Text Classification (SP)
|
100% |
713
951.6 IPS |
|
|
Text Classification (HP)
|
99% |
718
958.0 IPS |
|
|
Text Classification (Q)
|
88% |
376
507.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1341
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1412
24.3 IPS |
|
|
Machine Translation (Q)
|
50% |
560
19.9 IPS |
