Samsung Galaxy S25
Geekbench AI Score
2236
Single Precision Score
2286
Half Precision Score
3838
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 22 2025 10:51 PM |
| Views | 3 |
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% |
1673
311.1 IPS |
|
|
Image Classification (HP)
|
100% |
1701
316.4 IPS |
|
|
Image Classification (Q)
|
100% |
3734
694.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2013
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1987
32.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2655
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2966
3.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
5055
5.90 IPS |
|
|
Pose Estimation (Q)
|
84% |
11973
14.2 IPS |
|
|
Object Detection (SP)
|
98% |
1370
109.0 IPS |
|
|
Object Detection (HP)
|
98% |
972
77.3 IPS |
|
|
Object Detection (Q)
|
83% |
2571
207.7 IPS |
|
|
Face Detection (SP)
|
100% |
3780
44.9 IPS |
|
|
Face Detection (HP)
|
100% |
3745
44.5 IPS |
|
|
Face Detection (Q)
|
95% |
8027
95.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3958
30.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3918
30.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
9442
86.5 IPS |
|
|
Style Transfer (SP)
|
89% |
10209
13.3 IPS |
|
|
Style Transfer (HP)
|
89% |
8598
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
15582
20.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1427
52.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1936
71.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5589
207.1 IPS |
|
|
Text Classification (SP)
|
100% |
854
1.14 KIPS |
|
|
Text Classification (HP)
|
99% |
860
1.15 KIPS |
|
|
Text Classification (Q)
|
88% |
924
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1230
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1121
19.3 IPS |
|
|
Machine Translation (Q)
|
50% |
373
13.2 IPS |
