Samsung Galaxy S25
Geekbench AI Score
2334
Single Precision Score
2371
Half Precision Score
3913
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Ncard00 |
| Upload Date | September 18 2025 08:01 PM |
| Views | 3 |
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% |
1778
330.6 IPS |
|
|
Image Classification (HP)
|
100% |
1800
334.7 IPS |
|
|
Image Classification (Q)
|
100% |
4235
787.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2181
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2193
35.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5097
82.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5180
6.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
4986
5.82 IPS |
|
|
Pose Estimation (Q)
|
84% |
9334
11.1 IPS |
|
|
Object Detection (SP)
|
98% |
1297
103.2 IPS |
|
|
Object Detection (HP)
|
98% |
1306
103.9 IPS |
|
|
Object Detection (Q)
|
83% |
3466
279.9 IPS |
|
|
Face Detection (SP)
|
100% |
3853
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
4032
47.9 IPS |
|
|
Face Detection (Q)
|
95% |
8868
105.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4209
32.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3893
30.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
7963
72.9 IPS |
|
|
Style Transfer (SP)
|
89% |
10568
13.7 IPS |
|
|
Style Transfer (HP)
|
89% |
10671
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
23567
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1627
60.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1790
66.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4471
165.7 IPS |
|
|
Text Classification (SP)
|
100% |
530
707.1 IPS |
|
|
Text Classification (HP)
|
99% |
601
802.7 IPS |
|
|
Text Classification (Q)
|
88% |
494
666.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1249
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1215
20.9 IPS |
|
|
Machine Translation (Q)
|
50% |
328
11.6 IPS |
