Samsung Galaxy S25 Ultra
Geekbench AI Score
2881
Single Precision Score
2851
Half Precision Score
5179
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 02 2026 09:05 PM |
| Views | 3 |
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-S938B |
| 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% |
2009
373.5 IPS |
|
|
Image Classification (HP)
|
100% |
1910
355.2 IPS |
|
|
Image Classification (Q)
|
100% |
4354
809.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2490
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2427
39.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5359
87.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5658
6.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
5495
6.41 IPS |
|
|
Pose Estimation (Q)
|
84% |
13533
16.1 IPS |
|
|
Object Detection (SP)
|
98% |
1736
138.2 IPS |
|
|
Object Detection (HP)
|
98% |
1748
139.1 IPS |
|
|
Object Detection (Q)
|
83% |
4024
325.0 IPS |
|
|
Face Detection (SP)
|
100% |
4427
52.6 IPS |
|
|
Face Detection (HP)
|
100% |
4413
52.4 IPS |
|
|
Face Detection (Q)
|
95% |
9910
118.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
4628
35.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4693
36.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
10877
99.6 IPS |
|
|
Style Transfer (SP)
|
89% |
11621
15.1 IPS |
|
|
Style Transfer (HP)
|
89% |
11583
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
25155
32.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2435
89.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2419
89.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6839
253.4 IPS |
|
|
Text Classification (SP)
|
100% |
998
1.33 KIPS |
|
|
Text Classification (HP)
|
99% |
988
1.32 KIPS |
|
|
Text Classification (Q)
|
88% |
1031
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1387
23.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1391
24.0 IPS |
|
|
Machine Translation (Q)
|
50% |
572
20.3 IPS |
