Samsung Galaxy S25
Geekbench AI Score
2352
Single Precision Score
2463
Half Precision Score
3886
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 28 2025 07:50 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1478
274.9 IPS |
|
|
Image Classification (HP)
|
100% |
1558
289.8 IPS |
|
|
Image Classification (Q)
|
100% |
3545
659.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2092
33.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4414
71.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2996
3.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
5106
5.96 IPS |
|
|
Pose Estimation (Q)
|
84% |
12772
15.1 IPS |
|
|
Object Detection (SP)
|
98% |
1466
116.7 IPS |
|
|
Object Detection (HP)
|
98% |
1445
115.0 IPS |
|
|
Object Detection (Q)
|
83% |
1820
147.0 IPS |
|
|
Face Detection (SP)
|
100% |
4036
48.0 IPS |
|
|
Face Detection (HP)
|
100% |
3982
47.3 IPS |
|
|
Face Detection (Q)
|
95% |
8803
105.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
4095
31.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4112
31.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
9884
90.5 IPS |
|
|
Style Transfer (SP)
|
89% |
10899
14.1 IPS |
|
|
Style Transfer (HP)
|
89% |
10757
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
24573
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2014
74.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1902
70.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5677
210.4 IPS |
|
|
Text Classification (SP)
|
100% |
830
1.11 KIPS |
|
|
Text Classification (HP)
|
99% |
885
1.18 KIPS |
|
|
Text Classification (Q)
|
88% |
384
518.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1247
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1155
19.9 IPS |
|
|
Machine Translation (Q)
|
50% |
464
16.5 IPS |
