Samsung Galaxy S25
Geekbench AI Score
2721
Single Precision Score
4298
Half Precision Score
3586
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 02 2025 10:18 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S25 |
| Model ID | samsung SM-S931B |
| 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% |
1753
326.1 IPS |
|
|
Image Classification (HP)
|
100% |
2807
522.0 IPS |
|
|
Image Classification (Q)
|
100% |
2796
519.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3021
49.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5846
94.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4765
77.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13475
15.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
24244
28.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
23657
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
1500
119.0 IPS |
|
|
Object Detection (HP)
|
99% |
1982
157.2 IPS |
|
|
Object Detection (Q)
|
85% |
1888
152.0 IPS |
|
|
Face Detection (SP)
|
100% |
5209
61.9 IPS |
|
|
Face Detection (HP)
|
100% |
9245
109.8 IPS |
|
|
Face Detection (Q)
|
97% |
8440
100.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6961
53.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
9456
73.1 IPS |
|
|
Depth Estimation (Q)
|
61% |
7402
72.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16999
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37722
48.5 IPS |
|
|
Style Transfer (Q)
|
98% |
37007
47.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3631
134.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6051
223.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5726
212.2 IPS |
|
|
Text Classification (SP)
|
35% |
89
863.4 IPS |
|
|
Text Classification (HP)
|
35% |
91
829.0 IPS |
|
|
Text Classification (Q)
|
33% |
70
778.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1044
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1504
25.9 IPS |
|
|
Machine Translation (Q)
|
48% |
638
24.5 IPS |
