Samsung Galaxy S25 Ultra
Geekbench AI Score
2634
Single Precision Score
2559
Half Precision Score
4561
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 14 2025 03:00 AM |
| Views | 9 |
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% |
2030
377.5 IPS |
|
|
Image Classification (HP)
|
100% |
2053
381.8 IPS |
|
|
Image Classification (Q)
|
100% |
4486
834.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2365
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2428
39.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5277
85.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5570
6.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
5329
6.22 IPS |
|
|
Pose Estimation (Q)
|
84% |
13434
15.9 IPS |
|
|
Object Detection (SP)
|
98% |
1621
129.0 IPS |
|
|
Object Detection (HP)
|
98% |
1459
116.1 IPS |
|
|
Object Detection (Q)
|
83% |
3612
291.7 IPS |
|
|
Face Detection (SP)
|
100% |
3984
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
4042
48.0 IPS |
|
|
Face Detection (Q)
|
95% |
8793
105.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
4305
33.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4292
33.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
10209
93.5 IPS |
|
|
Style Transfer (SP)
|
89% |
10981
14.3 IPS |
|
|
Style Transfer (HP)
|
89% |
10562
13.7 IPS |
|
|
Style Transfer (Q)
|
98% |
23058
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2102
77.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1961
72.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4859
180.0 IPS |
|
|
Text Classification (SP)
|
100% |
780
1.04 KIPS |
|
|
Text Classification (HP)
|
99% |
694
926.7 IPS |
|
|
Text Classification (Q)
|
88% |
669
902.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1201
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1249
21.5 IPS |
|
|
Machine Translation (Q)
|
50% |
505
17.9 IPS |
