Samsung Galaxy S25 Ultra
Geekbench AI Score
2269
Single Precision Score
3362
Half Precision Score
2897
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 03 2025 08:35 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1754
326.3 IPS |
|
|
Image Classification (HP)
|
100% |
2515
467.7 IPS |
|
|
Image Classification (Q)
|
100% |
2092
389.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3303
53.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4686
76.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5449
88.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13717
16.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
24661
28.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
24373
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
1558
123.5 IPS |
|
|
Object Detection (HP)
|
99% |
1620
128.5 IPS |
|
|
Object Detection (Q)
|
85% |
1471
118.4 IPS |
|
|
Face Detection (SP)
|
100% |
4328
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
6392
76.0 IPS |
|
|
Face Detection (Q)
|
97% |
5384
64.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3954
30.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
5994
46.3 IPS |
|
|
Depth Estimation (Q)
|
61% |
4653
45.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10326
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23060
29.6 IPS |
|
|
Style Transfer (Q)
|
98% |
26814
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2817
104.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4443
164.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4323
160.2 IPS |
|
|
Text Classification (SP)
|
35% |
71
696.3 IPS |
|
|
Text Classification (HP)
|
35% |
72
654.1 IPS |
|
|
Text Classification (Q)
|
33% |
58
654.3 IPS |
|
|
Machine Translation (SP)
|
100% |
828
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1389
23.9 IPS |
|
|
Machine Translation (Q)
|
48% |
606
23.3 IPS |
