Samsung Galaxy S25 Ultra
Geekbench AI Score
2038
Single Precision Score
3131
Half Precision Score
2731
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 07 2025 07:23 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% |
1240
230.6 IPS |
|
|
Image Classification (HP)
|
100% |
1845
343.2 IPS |
|
|
Image Classification (Q)
|
100% |
1980
368.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2414
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3813
61.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4120
67.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10209
11.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
18176
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17788
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
1187
94.1 IPS |
|
|
Object Detection (HP)
|
99% |
1331
105.5 IPS |
|
|
Object Detection (Q)
|
85% |
1344
108.2 IPS |
|
|
Face Detection (SP)
|
100% |
4344
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
7604
90.3 IPS |
|
|
Face Detection (Q)
|
97% |
6493
77.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5193
40.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
7346
56.8 IPS |
|
|
Depth Estimation (Q)
|
61% |
5721
55.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12642
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
30489
39.2 IPS |
|
|
Style Transfer (Q)
|
98% |
29554
38.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2566
94.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4304
158.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4194
155.4 IPS |
|
|
Text Classification (SP)
|
35% |
58
561.0 IPS |
|
|
Text Classification (HP)
|
35% |
58
529.9 IPS |
|
|
Text Classification (Q)
|
33% |
52
584.9 IPS |
|
|
Machine Translation (SP)
|
100% |
806
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1255
21.6 IPS |
|
|
Machine Translation (Q)
|
48% |
496
19.0 IPS |
