Samsung Galaxy S25+
Geekbench AI Score
2868
Single Precision Score
2864
Half Precision Score
4741
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 10 2025 07:54 AM |
| Views | 3 |
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% |
2078
386.4 IPS |
|
|
Image Classification (HP)
|
100% |
2138
397.5 IPS |
|
|
Image Classification (Q)
|
100% |
4559
847.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2448
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2443
39.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5360
87.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5666
6.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
5417
6.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
13324
15.8 IPS |
|
|
Object Detection (SP)
|
98% |
1736
138.1 IPS |
|
|
Object Detection (HP)
|
98% |
1736
138.1 IPS |
|
|
Object Detection (Q)
|
83% |
4064
328.3 IPS |
|
|
Face Detection (SP)
|
100% |
4451
52.9 IPS |
|
|
Face Detection (HP)
|
100% |
4519
53.7 IPS |
|
|
Face Detection (Q)
|
95% |
9773
116.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
4677
36.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4697
36.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
10546
96.6 IPS |
|
|
Style Transfer (SP)
|
89% |
11699
15.2 IPS |
|
|
Style Transfer (HP)
|
89% |
11612
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
24809
32.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2343
86.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2415
89.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6519
241.6 IPS |
|
|
Text Classification (SP)
|
100% |
973
1.30 KIPS |
|
|
Text Classification (HP)
|
99% |
948
1.26 KIPS |
|
|
Text Classification (Q)
|
88% |
455
614.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1359
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1343
23.1 IPS |
|
|
Machine Translation (Q)
|
50% |
572
20.3 IPS |
