Samsung Galaxy S25
Geekbench AI Score
2854
Single Precision Score
2833
Half Precision Score
5143
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 18 2025 08:26 PM |
| Views | 2 |
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% |
2059
382.9 IPS |
|
|
Image Classification (HP)
|
100% |
2056
382.4 IPS |
|
|
Image Classification (Q)
|
100% |
4457
828.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2544
41.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2437
39.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5242
85.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5600
6.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
5390
6.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
13230
15.7 IPS |
|
|
Object Detection (SP)
|
98% |
1744
138.8 IPS |
|
|
Object Detection (HP)
|
98% |
1718
136.7 IPS |
|
|
Object Detection (Q)
|
83% |
3933
317.7 IPS |
|
|
Face Detection (SP)
|
100% |
4514
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
4518
53.7 IPS |
|
|
Face Detection (Q)
|
95% |
9821
117.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4568
35.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4693
36.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
10698
98.0 IPS |
|
|
Style Transfer (SP)
|
89% |
11361
14.7 IPS |
|
|
Style Transfer (HP)
|
89% |
11500
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
24671
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2257
83.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2277
84.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6927
256.7 IPS |
|
|
Text Classification (SP)
|
100% |
937
1.25 KIPS |
|
|
Text Classification (HP)
|
99% |
946
1.26 KIPS |
|
|
Text Classification (Q)
|
88% |
1045
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1417
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1367
23.5 IPS |
|
|
Machine Translation (Q)
|
50% |
568
20.1 IPS |
