Samsung Galaxy S25 Ultra
Geekbench AI Score
2847
Single Precision Score
2809
Half Precision Score
5171
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Billfumo |
| Upload Date | September 08 2025 09:05 PM |
| Views | 27 |
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% |
2023
376.1 IPS |
|
|
Image Classification (HP)
|
100% |
1953
363.2 IPS |
|
|
Image Classification (Q)
|
100% |
4486
834.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2399
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2418
39.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5485
89.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5663
6.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
5258
6.14 IPS |
|
|
Pose Estimation (Q)
|
84% |
12925
15.3 IPS |
|
|
Object Detection (SP)
|
98% |
1759
140.0 IPS |
|
|
Object Detection (HP)
|
98% |
1704
135.6 IPS |
|
|
Object Detection (Q)
|
83% |
4009
323.8 IPS |
|
|
Face Detection (SP)
|
100% |
4183
49.7 IPS |
|
|
Face Detection (HP)
|
100% |
4333
51.5 IPS |
|
|
Face Detection (Q)
|
95% |
9913
118.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
4585
35.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4524
35.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
10802
98.9 IPS |
|
|
Style Transfer (SP)
|
89% |
11857
15.4 IPS |
|
|
Style Transfer (HP)
|
89% |
11486
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
25549
32.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2398
88.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2454
90.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6633
245.8 IPS |
|
|
Text Classification (SP)
|
100% |
965
1.29 KIPS |
|
|
Text Classification (HP)
|
99% |
949
1.27 KIPS |
|
|
Text Classification (Q)
|
88% |
1057
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1379
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1383
23.8 IPS |
|
|
Machine Translation (Q)
|
50% |
560
19.9 IPS |
