Samsung Galaxy S25+
Geekbench AI Score
2526
Single Precision Score
2470
Half Precision Score
4002
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | TheSpiral |
| Upload Date | August 17 2025 07:09 PM |
| Views | 6 |
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-S936U1 |
| 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% |
2188
406.9 IPS |
|
|
Image Classification (HP)
|
100% |
2114
393.1 IPS |
|
|
Image Classification (Q)
|
100% |
4627
860.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2512
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2346
38.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5103
83.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5172
6.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
5047
5.89 IPS |
|
|
Pose Estimation (Q)
|
84% |
12199
14.5 IPS |
|
|
Object Detection (SP)
|
98% |
1015
80.8 IPS |
|
|
Object Detection (HP)
|
98% |
957
76.1 IPS |
|
|
Object Detection (Q)
|
83% |
1081
87.3 IPS |
|
|
Face Detection (SP)
|
100% |
3747
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
3976
47.2 IPS |
|
|
Face Detection (Q)
|
95% |
8394
100.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4636
35.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4273
33.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
10381
95.1 IPS |
|
|
Style Transfer (SP)
|
89% |
11371
14.8 IPS |
|
|
Style Transfer (HP)
|
89% |
8725
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
17253
22.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1771
65.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1941
71.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5224
193.6 IPS |
|
|
Text Classification (SP)
|
100% |
772
1.03 KIPS |
|
|
Text Classification (HP)
|
99% |
930
1.24 KIPS |
|
|
Text Classification (Q)
|
88% |
975
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1358
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1322
22.8 IPS |
|
|
Machine Translation (Q)
|
50% |
443
15.7 IPS |
