Samsung Galaxy S25
Geekbench AI Score
2330
Single Precision Score
2435
Half Precision Score
4261
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 16 2026 06:47 PM |
| Views | 12 |
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-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 | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1961
364.8 IPS |
|
|
Image Classification (HP)
|
100% |
1929
358.8 IPS |
|
|
Image Classification (Q)
|
100% |
4268
793.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1739
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2338
37.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4942
80.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5307
6.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
5063
5.91 IPS |
|
|
Pose Estimation (Q)
|
84% |
9707
11.5 IPS |
|
|
Object Detection (SP)
|
98% |
1172
93.3 IPS |
|
|
Object Detection (HP)
|
98% |
1306
103.9 IPS |
|
|
Object Detection (Q)
|
83% |
3545
286.3 IPS |
|
|
Face Detection (SP)
|
100% |
3821
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
4212
50.0 IPS |
|
|
Face Detection (Q)
|
95% |
9294
111.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
4459
34.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4364
33.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
9208
84.3 IPS |
|
|
Style Transfer (SP)
|
89% |
8452
11.0 IPS |
|
|
Style Transfer (HP)
|
89% |
9177
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
18204
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1726
63.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1821
67.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5809
215.3 IPS |
|
|
Text Classification (SP)
|
100% |
680
908.0 IPS |
|
|
Text Classification (HP)
|
99% |
670
894.1 IPS |
|
|
Text Classification (Q)
|
88% |
794
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1321
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1197
20.6 IPS |
|
|
Machine Translation (Q)
|
50% |
379
13.5 IPS |
