Samsung Galaxy S25 Ultra
Geekbench AI Score
1868
Single Precision Score
2854
Half Precision Score
2469
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | December 07 2025 08:45 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1250
232.5 IPS |
|
|
Image Classification (HP)
|
100% |
1909
355.0 IPS |
|
|
Image Classification (Q)
|
100% |
1896
352.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3177
51.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3825
62.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3678
59.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10066
11.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
18142
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17704
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
994
78.8 IPS |
|
|
Object Detection (HP)
|
99% |
1166
92.5 IPS |
|
|
Object Detection (Q)
|
85% |
1211
97.5 IPS |
|
|
Face Detection (SP)
|
100% |
3395
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
5364
63.7 IPS |
|
|
Face Detection (Q)
|
97% |
6478
77.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4136
31.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
6679
51.6 IPS |
|
|
Depth Estimation (Q)
|
61% |
5196
50.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11429
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
22533
29.0 IPS |
|
|
Style Transfer (Q)
|
98% |
22287
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2253
83.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3657
135.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3578
132.6 IPS |
|
|
Text Classification (SP)
|
35% |
45
437.2 IPS |
|
|
Text Classification (HP)
|
35% |
59
540.6 IPS |
|
|
Text Classification (Q)
|
33% |
42
475.9 IPS |
|
|
Machine Translation (SP)
|
100% |
802
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1337
23.0 IPS |
|
|
Machine Translation (Q)
|
48% |
500
19.2 IPS |
