Samsung Galaxy S25 Ultra
Geekbench AI Score
2454
Single Precision Score
3835
Half Precision Score
3272
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 31 2025 01:54 PM |
| Views | 1 |
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% |
1672
310.9 IPS |
|
|
Image Classification (HP)
|
100% |
2596
482.8 IPS |
|
|
Image Classification (Q)
|
100% |
2723
506.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3088
50.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5681
92.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5269
85.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13587
15.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
24210
28.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
22574
26.5 IPS |
|
|
Object Detection (SP)
|
100% |
1345
106.7 IPS |
|
|
Object Detection (HP)
|
99% |
1680
133.3 IPS |
|
|
Object Detection (Q)
|
85% |
1528
123.0 IPS |
|
|
Face Detection (SP)
|
100% |
4577
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
7867
93.5 IPS |
|
|
Face Detection (Q)
|
97% |
7363
87.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5865
45.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
8319
64.3 IPS |
|
|
Depth Estimation (Q)
|
61% |
6456
62.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14839
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
31092
40.0 IPS |
|
|
Style Transfer (Q)
|
98% |
31599
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3051
112.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4912
181.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5077
188.2 IPS |
|
|
Text Classification (SP)
|
35% |
76
737.4 IPS |
|
|
Text Classification (HP)
|
35% |
78
711.7 IPS |
|
|
Text Classification (Q)
|
33% |
60
674.9 IPS |
|
|
Machine Translation (SP)
|
100% |
912
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1472
25.4 IPS |
|
|
Machine Translation (Q)
|
48% |
622
23.9 IPS |
