Samsung Galaxy S25
Geekbench AI Score
2427
Single Precision Score
2333
Half Precision Score
3892
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | sageriramadhan |
| Upload Date | November 15 2025 11:34 PM |
| Views | 5 |
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% |
2006
373.1 IPS |
|
|
Image Classification (HP)
|
100% |
1929
358.7 IPS |
|
|
Image Classification (Q)
|
100% |
4400
818.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2395
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2400
38.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5184
84.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5572
6.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
4427
5.17 IPS |
|
|
Pose Estimation (Q)
|
84% |
10395
12.3 IPS |
|
|
Object Detection (SP)
|
98% |
1104
87.9 IPS |
|
|
Object Detection (HP)
|
98% |
1085
86.4 IPS |
|
|
Object Detection (Q)
|
83% |
3098
250.2 IPS |
|
|
Face Detection (SP)
|
100% |
4074
48.4 IPS |
|
|
Face Detection (HP)
|
100% |
4364
51.8 IPS |
|
|
Face Detection (Q)
|
95% |
9540
113.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4614
35.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4495
34.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
7019
64.3 IPS |
|
|
Style Transfer (SP)
|
89% |
8423
10.9 IPS |
|
|
Style Transfer (HP)
|
89% |
8297
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
19361
25.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1601
59.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1603
59.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3408
126.3 IPS |
|
|
Text Classification (SP)
|
100% |
701
935.4 IPS |
|
|
Text Classification (HP)
|
99% |
772
1.03 KIPS |
|
|
Text Classification (Q)
|
88% |
611
824.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1355
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1070
18.4 IPS |
|
|
Machine Translation (Q)
|
50% |
403
14.3 IPS |
