Samsung Galaxy S25
Geekbench AI Score
2816
Single Precision Score
2796
Half Precision Score
5105
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 21 2025 12:07 AM |
| Views | 8 |
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% |
1970
366.3 IPS |
|
|
Image Classification (HP)
|
100% |
1955
363.6 IPS |
|
|
Image Classification (Q)
|
100% |
4324
804.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2369
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2370
38.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5098
82.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5724
6.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
5574
6.50 IPS |
|
|
Pose Estimation (Q)
|
84% |
13786
16.3 IPS |
|
|
Object Detection (SP)
|
98% |
1710
136.1 IPS |
|
|
Object Detection (HP)
|
98% |
1586
126.2 IPS |
|
|
Object Detection (Q)
|
83% |
3794
306.5 IPS |
|
|
Face Detection (SP)
|
100% |
4462
53.0 IPS |
|
|
Face Detection (HP)
|
100% |
4461
53.0 IPS |
|
|
Face Detection (Q)
|
95% |
9524
113.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
4583
35.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4544
35.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
11116
101.8 IPS |
|
|
Style Transfer (SP)
|
89% |
12057
15.7 IPS |
|
|
Style Transfer (HP)
|
89% |
11900
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
27076
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1977
73.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2241
82.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6965
258.1 IPS |
|
|
Text Classification (SP)
|
100% |
1004
1.34 KIPS |
|
|
Text Classification (HP)
|
99% |
987
1.32 KIPS |
|
|
Text Classification (Q)
|
88% |
1018
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1407
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1337
23.0 IPS |
|
|
Machine Translation (Q)
|
50% |
514
18.2 IPS |
