Samsung Galaxy S25
Geekbench AI Score
2594
Single Precision Score
2589
Half Precision Score
4704
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | December 22 2025 09:02 PM |
| Views | 2 |
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-S9310 |
| 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% |
1949
362.5 IPS |
|
|
Image Classification (HP)
|
100% |
1907
354.7 IPS |
|
|
Image Classification (Q)
|
100% |
4381
814.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2400
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2390
38.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5422
88.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5549
6.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
5396
6.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
12606
15.0 IPS |
|
|
Object Detection (SP)
|
98% |
1412
112.4 IPS |
|
|
Object Detection (HP)
|
98% |
1443
114.8 IPS |
|
|
Object Detection (Q)
|
83% |
3731
301.4 IPS |
|
|
Face Detection (SP)
|
100% |
3395
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
4078
48.5 IPS |
|
|
Face Detection (Q)
|
95% |
8940
106.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
4466
34.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4516
34.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
9686
88.7 IPS |
|
|
Style Transfer (SP)
|
89% |
11229
14.6 IPS |
|
|
Style Transfer (HP)
|
89% |
9828
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
21594
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1955
72.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2129
78.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5069
187.8 IPS |
|
|
Text Classification (SP)
|
100% |
920
1.23 KIPS |
|
|
Text Classification (HP)
|
99% |
932
1.24 KIPS |
|
|
Text Classification (Q)
|
88% |
1069
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1231
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1064
18.3 IPS |
|
|
Machine Translation (Q)
|
50% |
469
16.7 IPS |
