Samsung Galaxy S25
Geekbench AI Score
2448
Single Precision Score
2306
Half Precision Score
4497
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Zippy2danyne |
| Upload Date | October 28 2025 02:46 PM |
| Views | 4 |
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-S931U |
| 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% |
1986
369.4 IPS |
|
|
Image Classification (HP)
|
100% |
1928
358.5 IPS |
|
|
Image Classification (Q)
|
100% |
4425
823.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2189
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2267
36.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4872
79.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4940
5.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3692
4.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
12311
14.6 IPS |
|
|
Object Detection (SP)
|
98% |
1185
94.3 IPS |
|
|
Object Detection (HP)
|
98% |
1273
101.3 IPS |
|
|
Object Detection (Q)
|
83% |
3681
297.4 IPS |
|
|
Face Detection (SP)
|
100% |
3568
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
4083
48.5 IPS |
|
|
Face Detection (Q)
|
95% |
9452
112.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
4163
32.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3723
28.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
8646
79.2 IPS |
|
|
Style Transfer (SP)
|
89% |
10364
13.5 IPS |
|
|
Style Transfer (HP)
|
89% |
8277
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
21531
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1782
65.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1698
62.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4751
176.1 IPS |
|
|
Text Classification (SP)
|
100% |
930
1.24 KIPS |
|
|
Text Classification (HP)
|
99% |
935
1.25 KIPS |
|
|
Text Classification (Q)
|
88% |
963
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1194
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1037
17.9 IPS |
|
|
Machine Translation (Q)
|
50% |
431
15.3 IPS |
