Samsung Galaxy S25
Geekbench AI Score
2324
Single Precision Score
2536
Half Precision Score
3816
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 26 2025 11:35 AM |
| Views | 19 |
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-S931U |
| 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% |
1876
348.9 IPS |
|
|
Image Classification (HP)
|
100% |
1958
364.2 IPS |
|
|
Image Classification (Q)
|
100% |
4109
764.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2409
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2319
37.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3911
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5415
6.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
4737
5.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
11021
13.1 IPS |
|
|
Object Detection (SP)
|
98% |
793
63.1 IPS |
|
|
Object Detection (HP)
|
98% |
1196
95.2 IPS |
|
|
Object Detection (Q)
|
83% |
2072
167.4 IPS |
|
|
Face Detection (SP)
|
100% |
4299
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
4259
50.6 IPS |
|
|
Face Detection (Q)
|
95% |
8926
106.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
4437
34.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4476
34.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
10333
94.6 IPS |
|
|
Style Transfer (SP)
|
89% |
10079
13.1 IPS |
|
|
Style Transfer (HP)
|
89% |
11121
14.4 IPS |
|
|
Style Transfer (Q)
|
98% |
15941
20.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1605
59.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1892
69.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3672
136.1 IPS |
|
|
Text Classification (SP)
|
100% |
585
780.6 IPS |
|
|
Text Classification (HP)
|
99% |
800
1.07 KIPS |
|
|
Text Classification (Q)
|
88% |
798
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1315
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1333
23.0 IPS |
|
|
Machine Translation (Q)
|
50% |
415
14.7 IPS |
