Samsung Galaxy S25 Ultra
Geekbench AI Score
2737
Single Precision Score
4279
Half Precision Score
3531
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 01 2025 07:42 AM |
| 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% |
1596
296.8 IPS |
|
|
Image Classification (HP)
|
100% |
2594
482.3 IPS |
|
|
Image Classification (Q)
|
100% |
2873
534.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3155
51.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5599
90.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4671
75.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13678
16.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
24665
28.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
24168
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
1536
121.9 IPS |
|
|
Object Detection (HP)
|
99% |
2012
159.6 IPS |
|
|
Object Detection (Q)
|
85% |
1948
156.8 IPS |
|
|
Face Detection (SP)
|
100% |
5166
61.4 IPS |
|
|
Face Detection (HP)
|
100% |
9660
114.8 IPS |
|
|
Face Detection (Q)
|
97% |
6348
75.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7081
54.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
9731
75.2 IPS |
|
|
Depth Estimation (Q)
|
61% |
7455
72.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17337
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38468
49.5 IPS |
|
|
Style Transfer (Q)
|
98% |
37752
48.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3737
138.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5775
213.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6337
234.9 IPS |
|
|
Text Classification (SP)
|
35% |
90
873.6 IPS |
|
|
Text Classification (HP)
|
35% |
86
784.2 IPS |
|
|
Text Classification (Q)
|
33% |
69
777.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1047
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1590
27.4 IPS |
|
|
Machine Translation (Q)
|
48% |
612
23.5 IPS |
