Samsung Galaxy S25+
Geekbench AI Score
2872
Single Precision Score
2784
Half Precision Score
5166
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Nykolas |
| Upload Date | October 18 2025 07:00 PM |
| Views | 16 |
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-S936B |
| 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% |
1927
358.4 IPS |
|
|
Image Classification (HP)
|
100% |
1711
318.1 IPS |
|
|
Image Classification (Q)
|
100% |
4308
801.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2397
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2394
38.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4995
81.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5657
6.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
5409
6.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
13484
16.0 IPS |
|
|
Object Detection (SP)
|
98% |
1782
141.8 IPS |
|
|
Object Detection (HP)
|
98% |
1768
140.7 IPS |
|
|
Object Detection (Q)
|
83% |
4022
324.9 IPS |
|
|
Face Detection (SP)
|
100% |
4396
52.2 IPS |
|
|
Face Detection (HP)
|
100% |
4328
51.4 IPS |
|
|
Face Detection (Q)
|
95% |
9754
116.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
4726
36.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4566
35.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
10692
97.9 IPS |
|
|
Style Transfer (SP)
|
89% |
11712
15.2 IPS |
|
|
Style Transfer (HP)
|
89% |
11137
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
26181
33.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2442
90.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2438
90.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6820
252.7 IPS |
|
|
Text Classification (SP)
|
100% |
992
1.32 KIPS |
|
|
Text Classification (HP)
|
99% |
963
1.29 KIPS |
|
|
Text Classification (Q)
|
88% |
1060
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1394
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1385
23.9 IPS |
|
|
Machine Translation (Q)
|
50% |
588
20.9 IPS |
