Samsung Galaxy S25+
Geekbench AI Score
2810
Single Precision Score
2856
Half Precision Score
4643
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 17 2025 04:41 AM |
| 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% |
2131
396.2 IPS |
|
|
Image Classification (HP)
|
100% |
2103
391.1 IPS |
|
|
Image Classification (Q)
|
100% |
4566
849.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2396
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2424
39.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5203
84.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5527
6.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
5473
6.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
13723
16.3 IPS |
|
|
Object Detection (SP)
|
98% |
1663
132.3 IPS |
|
|
Object Detection (HP)
|
98% |
1717
136.6 IPS |
|
|
Object Detection (Q)
|
83% |
1857
150.0 IPS |
|
|
Face Detection (SP)
|
100% |
4611
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
4674
55.5 IPS |
|
|
Face Detection (Q)
|
95% |
10052
120.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
4515
34.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4527
35.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
10659
97.6 IPS |
|
|
Style Transfer (SP)
|
89% |
11378
14.8 IPS |
|
|
Style Transfer (HP)
|
89% |
11687
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
23721
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2085
77.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2290
84.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5270
195.3 IPS |
|
|
Text Classification (SP)
|
100% |
978
1.31 KIPS |
|
|
Text Classification (HP)
|
99% |
998
1.33 KIPS |
|
|
Text Classification (Q)
|
88% |
1083
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1357
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1336
23.0 IPS |
|
|
Machine Translation (Q)
|
50% |
531
18.9 IPS |
