Samsung Galaxy S25
Geekbench AI Score
2793
Single Precision Score
2837
Half Precision Score
5160
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | AllieWolfie |
| Upload Date | August 14 2025 08:39 AM |
| Views | 17 |
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% |
1928
358.5 IPS |
|
|
Image Classification (HP)
|
100% |
1945
361.7 IPS |
|
|
Image Classification (Q)
|
100% |
4506
838.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2445
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2386
38.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5433
88.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5409
6.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
5367
6.26 IPS |
|
|
Pose Estimation (Q)
|
84% |
13753
16.3 IPS |
|
|
Object Detection (SP)
|
98% |
1649
131.2 IPS |
|
|
Object Detection (HP)
|
98% |
1752
139.4 IPS |
|
|
Object Detection (Q)
|
83% |
3887
313.9 IPS |
|
|
Face Detection (SP)
|
100% |
4339
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
4467
53.1 IPS |
|
|
Face Detection (Q)
|
95% |
9692
115.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
4707
36.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4677
36.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
10657
97.6 IPS |
|
|
Style Transfer (SP)
|
89% |
11605
15.1 IPS |
|
|
Style Transfer (HP)
|
89% |
11732
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
25610
33.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2054
75.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2288
84.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6951
257.6 IPS |
|
|
Text Classification (SP)
|
100% |
1010
1.35 KIPS |
|
|
Text Classification (HP)
|
99% |
1012
1.35 KIPS |
|
|
Text Classification (Q)
|
88% |
1077
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1400
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1368
23.6 IPS |
|
|
Machine Translation (Q)
|
50% |
517
18.4 IPS |
