Samsung Galaxy S25+
Geekbench AI Score
2542
Single Precision Score
3999
Half Precision Score
3361
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 10 2025 07:56 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1751
325.7 IPS |
|
|
Image Classification (HP)
|
100% |
2735
508.7 IPS |
|
|
Image Classification (Q)
|
100% |
3259
606.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3061
49.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5345
86.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5278
85.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13416
15.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
23621
27.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
20461
24.0 IPS |
|
|
Object Detection (SP)
|
100% |
1349
107.0 IPS |
|
|
Object Detection (HP)
|
99% |
1737
137.8 IPS |
|
|
Object Detection (Q)
|
85% |
1718
138.3 IPS |
|
|
Face Detection (SP)
|
100% |
4864
57.8 IPS |
|
|
Face Detection (HP)
|
100% |
9016
107.1 IPS |
|
|
Face Detection (Q)
|
97% |
7706
91.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6425
49.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
8750
67.6 IPS |
|
|
Depth Estimation (Q)
|
61% |
6448
62.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15808
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
34388
44.2 IPS |
|
|
Style Transfer (Q)
|
98% |
32972
42.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3241
119.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5059
186.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4786
177.4 IPS |
|
|
Text Classification (SP)
|
35% |
74
717.5 IPS |
|
|
Text Classification (HP)
|
35% |
76
692.2 IPS |
|
|
Text Classification (Q)
|
33% |
61
685.4 IPS |
|
|
Machine Translation (SP)
|
100% |
982
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1673
28.8 IPS |
|
|
Machine Translation (Q)
|
48% |
637
24.5 IPS |
