Samsung Galaxy S25
Geekbench AI Score
2527
Single Precision Score
2367
Half Precision Score
3902
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 06 2025 06:20 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-S931B |
| 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% |
1965
365.4 IPS |
|
|
Image Classification (HP)
|
100% |
1956
363.8 IPS |
|
|
Image Classification (Q)
|
100% |
4383
815.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2348
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2343
38.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5408
87.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5156
6.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
4125
4.81 IPS |
|
|
Pose Estimation (Q)
|
84% |
11105
13.2 IPS |
|
|
Object Detection (SP)
|
98% |
1238
98.5 IPS |
|
|
Object Detection (HP)
|
98% |
1341
106.7 IPS |
|
|
Object Detection (Q)
|
83% |
1841
148.7 IPS |
|
|
Face Detection (SP)
|
100% |
4072
48.4 IPS |
|
|
Face Detection (HP)
|
100% |
3881
46.1 IPS |
|
|
Face Detection (Q)
|
95% |
9082
108.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
4748
36.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4534
35.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
10403
95.3 IPS |
|
|
Style Transfer (SP)
|
89% |
9755
12.7 IPS |
|
|
Style Transfer (HP)
|
89% |
8448
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
21111
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1961
72.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1891
69.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5176
191.8 IPS |
|
|
Text Classification (SP)
|
100% |
743
991.6 IPS |
|
|
Text Classification (HP)
|
99% |
576
768.6 IPS |
|
|
Text Classification (Q)
|
88% |
434
585.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1317
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1347
23.2 IPS |
|
|
Machine Translation (Q)
|
50% |
377
13.4 IPS |
