Samsung Galaxy S25+
Geekbench AI Score
2801
Single Precision Score
2770
Half Precision Score
4898
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 10 2025 01:31 PM |
| Views | 1 |
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-S936N |
| 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% |
2050
381.2 IPS |
|
|
Image Classification (HP)
|
100% |
1944
361.5 IPS |
|
|
Image Classification (Q)
|
100% |
4455
828.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2389
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2370
38.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5169
84.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5246
6.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
5232
6.11 IPS |
|
|
Pose Estimation (Q)
|
84% |
12828
15.2 IPS |
|
|
Object Detection (SP)
|
98% |
1715
136.5 IPS |
|
|
Object Detection (HP)
|
98% |
1727
137.4 IPS |
|
|
Object Detection (Q)
|
83% |
3970
320.7 IPS |
|
|
Face Detection (SP)
|
100% |
4442
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
4286
50.9 IPS |
|
|
Face Detection (Q)
|
95% |
9441
112.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
4466
34.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4498
34.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
10164
93.1 IPS |
|
|
Style Transfer (SP)
|
89% |
11495
14.9 IPS |
|
|
Style Transfer (HP)
|
89% |
11514
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
24849
32.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2267
83.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2272
83.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5694
211.0 IPS |
|
|
Text Classification (SP)
|
100% |
942
1.26 KIPS |
|
|
Text Classification (HP)
|
99% |
961
1.28 KIPS |
|
|
Text Classification (Q)
|
88% |
1028
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1390
23.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1322
22.8 IPS |
|
|
Machine Translation (Q)
|
50% |
486
17.3 IPS |
