Samsung Galaxy S25+
Geekbench AI Score
2799
Single Precision Score
4482
Half Precision Score
3662
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 24 2025 03:31 PM |
| Views | 2 |
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-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 | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1994
370.8 IPS |
|
|
Image Classification (HP)
|
100% |
3075
571.9 IPS |
|
|
Image Classification (Q)
|
100% |
2873
534.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3470
56.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6811
110.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5667
92.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13725
16.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
24653
28.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
24363
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
1569
124.5 IPS |
|
|
Object Detection (HP)
|
99% |
2186
173.4 IPS |
|
|
Object Detection (Q)
|
85% |
1966
158.3 IPS |
|
|
Face Detection (SP)
|
100% |
5583
66.3 IPS |
|
|
Face Detection (HP)
|
100% |
10518
125.0 IPS |
|
|
Face Detection (Q)
|
97% |
9083
108.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7100
54.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
9803
75.8 IPS |
|
|
Depth Estimation (Q)
|
61% |
7500
73.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17019
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37125
47.7 IPS |
|
|
Style Transfer (Q)
|
98% |
36908
47.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3470
128.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5422
200.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5299
196.4 IPS |
|
|
Text Classification (SP)
|
35% |
87
847.5 IPS |
|
|
Text Classification (HP)
|
35% |
85
770.5 IPS |
|
|
Text Classification (Q)
|
33% |
70
785.2 IPS |
|
|
Machine Translation (SP)
|
100% |
976
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1644
28.3 IPS |
|
|
Machine Translation (Q)
|
48% |
597
22.9 IPS |
