Samsung Galaxy S25 Ultra
Geekbench AI Score
485
Single Precision Score
482
Half Precision Score
998
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | ___ |
| Upload Date | July 11 2025 04:21 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S25 Ultra |
| Model ID | samsung SM-S938Q |
| 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% |
430
80.1 IPS |
|
|
Image Classification (HP)
|
100% |
427
79.5 IPS |
|
|
Image Classification (Q)
|
99% |
1066
198.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
536
8.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
539
8.73 IPS |
|
|
Image Segmentation (Q)
|
98% |
1097
17.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
532
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
508
0.59 IPS |
|
|
Pose Estimation (Q)
|
98% |
1832
2.15 IPS |
|
|
Object Detection (SP)
|
100% |
285
22.6 IPS |
|
|
Object Detection (HP)
|
100% |
285
22.6 IPS |
|
|
Object Detection (Q)
|
87% |
759
60.8 IPS |
|
|
Face Detection (SP)
|
100% |
650
7.73 IPS |
|
|
Face Detection (HP)
|
100% |
651
7.73 IPS |
|
|
Face Detection (Q)
|
97% |
1248
14.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
562
4.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
564
4.34 IPS |
|
|
Depth Estimation (Q)
|
64% |
1054
9.56 IPS |
|
|
Style Transfer (SP)
|
100% |
994
1.28 IPS |
|
|
Style Transfer (HP)
|
100% |
906
1.16 IPS |
|
|
Style Transfer (Q)
|
98% |
2319
2.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
249
9.18 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
283
10.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1024
37.9 IPS |
|
|
Text Classification (SP)
|
100% |
369
492.1 IPS |
|
|
Text Classification (HP)
|
100% |
322
429.8 IPS |
|
|
Text Classification (Q)
|
91% |
495
665.8 IPS |
|
|
Machine Translation (SP)
|
100% |
618
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
678
11.7 IPS |
|
|
Machine Translation (Q)
|
57% |
392
9.57 IPS |
