Samsung Galaxy S25+
Geekbench AI Score
2592
Single Precision Score
2590
Half Precision Score
4513
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | khdhmnyu |
| Upload Date | January 10 2026 01:12 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S25+ |
| Model ID | samsung SM-S9360 |
| 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% |
1823
339.1 IPS |
|
|
Image Classification (HP)
|
100% |
1880
349.6 IPS |
|
|
Image Classification (Q)
|
100% |
4018
747.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2207
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2184
35.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4956
80.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5340
6.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
5269
6.15 IPS |
|
|
Pose Estimation (Q)
|
84% |
12970
15.4 IPS |
|
|
Object Detection (SP)
|
98% |
1606
127.8 IPS |
|
|
Object Detection (HP)
|
98% |
1557
123.9 IPS |
|
|
Object Detection (Q)
|
83% |
3884
313.8 IPS |
|
|
Face Detection (SP)
|
100% |
4217
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
4221
50.2 IPS |
|
|
Face Detection (Q)
|
95% |
8774
104.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
4403
34.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4300
33.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
9732
89.1 IPS |
|
|
Style Transfer (SP)
|
89% |
10962
14.2 IPS |
|
|
Style Transfer (HP)
|
89% |
11089
14.4 IPS |
|
|
Style Transfer (Q)
|
98% |
19038
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1682
62.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1951
72.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4961
183.8 IPS |
|
|
Text Classification (SP)
|
100% |
864
1.15 KIPS |
|
|
Text Classification (HP)
|
99% |
939
1.25 KIPS |
|
|
Text Classification (Q)
|
88% |
1023
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1346
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1097
18.9 IPS |
|
|
Machine Translation (Q)
|
50% |
424
15.0 IPS |
