Samsung Galaxy S25 Ultra
Geekbench AI Score
2594
Single Precision Score
2576
Half Precision Score
4136
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 14 2025 09:00 AM |
| Views | 5 |
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% |
1912
355.6 IPS |
|
|
Image Classification (HP)
|
100% |
1920
357.0 IPS |
|
|
Image Classification (Q)
|
100% |
4169
775.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2347
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2340
37.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4982
81.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5620
6.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
5232
6.11 IPS |
|
|
Pose Estimation (Q)
|
84% |
13496
16.0 IPS |
|
|
Object Detection (SP)
|
98% |
1606
127.8 IPS |
|
|
Object Detection (HP)
|
98% |
1468
116.8 IPS |
|
|
Object Detection (Q)
|
83% |
2989
241.5 IPS |
|
|
Face Detection (SP)
|
100% |
3705
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
3933
46.7 IPS |
|
|
Face Detection (Q)
|
95% |
6567
78.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
4196
32.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4567
35.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
8926
81.8 IPS |
|
|
Style Transfer (SP)
|
89% |
10336
13.4 IPS |
|
|
Style Transfer (HP)
|
89% |
11201
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
20854
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1964
72.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2031
75.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4264
158.0 IPS |
|
|
Text Classification (SP)
|
100% |
776
1.04 KIPS |
|
|
Text Classification (HP)
|
99% |
672
897.3 IPS |
|
|
Text Classification (Q)
|
88% |
682
919.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1391
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1360
23.4 IPS |
|
|
Machine Translation (Q)
|
50% |
492
17.5 IPS |
