Samsung Galaxy S25+
Geekbench AI Score
2000
Single Precision Score
2249
Half Precision Score
3725
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 12 2025 11:35 AM |
| Views | 6 |
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-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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1931
359.2 IPS |
|
|
Image Classification (HP)
|
100% |
1831
340.6 IPS |
|
|
Image Classification (Q)
|
100% |
4141
770.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2326
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2220
36.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5223
84.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4804
5.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
3448
4.02 IPS |
|
|
Pose Estimation (Q)
|
84% |
7987
9.47 IPS |
|
|
Object Detection (SP)
|
98% |
807
64.2 IPS |
|
|
Object Detection (HP)
|
98% |
1393
110.8 IPS |
|
|
Object Detection (Q)
|
83% |
3386
273.5 IPS |
|
|
Face Detection (SP)
|
100% |
3884
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
3726
44.3 IPS |
|
|
Face Detection (Q)
|
95% |
5044
60.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1949
15.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4041
31.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
9991
91.5 IPS |
|
|
Style Transfer (SP)
|
89% |
10419
13.5 IPS |
|
|
Style Transfer (HP)
|
89% |
10303
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
15070
19.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1399
51.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1635
60.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4974
184.3 IPS |
|
|
Text Classification (SP)
|
100% |
574
766.7 IPS |
|
|
Text Classification (HP)
|
99% |
606
808.6 IPS |
|
|
Text Classification (Q)
|
88% |
605
815.5 IPS |
|
|
Machine Translation (SP)
|
100% |
931
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1105
19.0 IPS |
|
|
Machine Translation (Q)
|
50% |
385
13.7 IPS |
