Samsung Galaxy S25
Geekbench AI Score
2326
Single Precision Score
3571
Half Precision Score
2966
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 16 2026 06:50 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1695
315.2 IPS |
|
|
Image Classification (HP)
|
100% |
2717
505.2 IPS |
|
|
Image Classification (Q)
|
100% |
2478
460.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3170
51.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5035
81.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4946
80.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12105
14.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
21063
24.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
20743
24.3 IPS |
|
|
Object Detection (SP)
|
100% |
1368
108.5 IPS |
|
|
Object Detection (HP)
|
99% |
1789
141.9 IPS |
|
|
Object Detection (Q)
|
85% |
1690
136.1 IPS |
|
|
Face Detection (SP)
|
100% |
4945
58.8 IPS |
|
|
Face Detection (HP)
|
100% |
8534
101.4 IPS |
|
|
Face Detection (Q)
|
97% |
7225
86.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4992
38.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
7104
54.9 IPS |
|
|
Depth Estimation (Q)
|
61% |
6046
58.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12177
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
29769
38.3 IPS |
|
|
Style Transfer (Q)
|
98% |
28157
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2849
105.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4464
164.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4087
151.5 IPS |
|
|
Text Classification (SP)
|
35% |
73
707.1 IPS |
|
|
Text Classification (HP)
|
35% |
60
547.2 IPS |
|
|
Text Classification (Q)
|
33% |
46
520.4 IPS |
|
|
Machine Translation (SP)
|
100% |
834
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1354
23.3 IPS |
|
|
Machine Translation (Q)
|
48% |
532
20.4 IPS |
