Samsung Galaxy S25 Ultra
Geekbench AI Score
712
Single Precision Score
709
Half Precision Score
1610
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | jkovacs87 |
| Upload Date | July 19 2025 05:05 AM |
| Views | 8 |
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-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% |
453
84.3 IPS |
|
|
Image Classification (HP)
|
100% |
455
84.6 IPS |
|
|
Image Classification (Q)
|
99% |
1124
209.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
583
9.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
577
9.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
1137
18.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
774
0.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
740
0.86 IPS |
|
|
Pose Estimation (Q)
|
98% |
2935
3.44 IPS |
|
|
Object Detection (SP)
|
100% |
418
33.1 IPS |
|
|
Object Detection (HP)
|
100% |
416
33.0 IPS |
|
|
Object Detection (Q)
|
87% |
1169
93.8 IPS |
|
|
Face Detection (SP)
|
100% |
1030
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
1036
12.3 IPS |
|
|
Face Detection (Q)
|
97% |
2577
30.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
920
7.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
912
7.03 IPS |
|
|
Depth Estimation (Q)
|
64% |
2130
19.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1571
2.02 IPS |
|
|
Style Transfer (HP)
|
100% |
1423
1.83 IPS |
|
|
Style Transfer (Q)
|
98% |
4125
5.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
495
18.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
494
18.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1821
67.5 IPS |
|
|
Text Classification (SP)
|
100% |
574
766.5 IPS |
|
|
Text Classification (HP)
|
100% |
577
769.9 IPS |
|
|
Text Classification (Q)
|
91% |
888
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
934
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1041
17.9 IPS |
|
|
Machine Translation (Q)
|
57% |
730
17.8 IPS |
