Samsung Galaxy S25 Ultra
Geekbench AI Score
2512
Single Precision Score
3866
Half Precision Score
3294
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 22 2025 06:49 PM |
| Views | 1 |
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% |
1722
320.3 IPS |
|
|
Image Classification (HP)
|
100% |
2592
482.0 IPS |
|
|
Image Classification (Q)
|
100% |
2770
515.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3189
51.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5554
90.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5211
84.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13351
15.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
22868
26.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
21607
25.3 IPS |
|
|
Object Detection (SP)
|
100% |
1400
111.1 IPS |
|
|
Object Detection (HP)
|
99% |
1765
140.0 IPS |
|
|
Object Detection (Q)
|
85% |
1691
136.1 IPS |
|
|
Face Detection (SP)
|
100% |
4802
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
8533
101.4 IPS |
|
|
Face Detection (Q)
|
97% |
7427
88.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5985
46.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
8674
67.0 IPS |
|
|
Depth Estimation (Q)
|
61% |
6830
66.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14792
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32136
41.3 IPS |
|
|
Style Transfer (Q)
|
98% |
31787
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3176
117.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4937
182.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4965
184.0 IPS |
|
|
Text Classification (SP)
|
35% |
81
792.4 IPS |
|
|
Text Classification (HP)
|
35% |
77
703.0 IPS |
|
|
Text Classification (Q)
|
33% |
61
682.8 IPS |
|
|
Machine Translation (SP)
|
100% |
893
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1420
24.5 IPS |
|
|
Machine Translation (Q)
|
48% |
584
22.4 IPS |
