Samsung Galaxy S25 Ultra
Geekbench AI Score
1705
Single Precision Score
1504
Half Precision Score
2626
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 28 2025 05:16 PM |
| Views | 1 |
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% |
1805
335.7 IPS |
|
|
Image Classification (HP)
|
100% |
1919
356.8 IPS |
|
|
Image Classification (Q)
|
100% |
4197
780.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2283
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2315
37.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4854
78.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5184
6.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
3155
3.68 IPS |
|
|
Pose Estimation (Q)
|
84% |
6995
8.30 IPS |
|
|
Object Detection (SP)
|
98% |
721
57.4 IPS |
|
|
Object Detection (HP)
|
98% |
716
57.0 IPS |
|
|
Object Detection (Q)
|
83% |
1532
123.8 IPS |
|
|
Face Detection (SP)
|
100% |
2145
25.5 IPS |
|
|
Face Detection (HP)
|
100% |
2110
25.1 IPS |
|
|
Face Detection (Q)
|
95% |
3826
45.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2205
17.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1642
12.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3592
32.9 IPS |
|
|
Style Transfer (SP)
|
89% |
4433
5.75 IPS |
|
|
Style Transfer (HP)
|
89% |
6216
8.07 IPS |
|
|
Style Transfer (Q)
|
98% |
12938
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1507
55.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
941
34.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2501
92.7 IPS |
|
|
Text Classification (SP)
|
100% |
385
513.8 IPS |
|
|
Text Classification (HP)
|
99% |
303
404.3 IPS |
|
|
Text Classification (Q)
|
88% |
512
690.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1114
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
966
16.6 IPS |
|
|
Machine Translation (Q)
|
50% |
314
11.1 IPS |
