Samsung Galaxy S25
Geekbench AI Score
2924
Single Precision Score
2946
Half Precision Score
5378
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | RAKIIN |
| Upload Date | December 04 2025 01:21 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-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 | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2014
374.6 IPS |
|
|
Image Classification (HP)
|
100% |
2132
396.4 IPS |
|
|
Image Classification (Q)
|
100% |
4630
861.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2505
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2520
40.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5431
88.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5736
6.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
5716
6.67 IPS |
|
|
Pose Estimation (Q)
|
84% |
14288
16.9 IPS |
|
|
Object Detection (SP)
|
98% |
1823
145.1 IPS |
|
|
Object Detection (HP)
|
98% |
1876
149.3 IPS |
|
|
Object Detection (Q)
|
83% |
4237
342.2 IPS |
|
|
Face Detection (SP)
|
100% |
4301
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
4437
52.7 IPS |
|
|
Face Detection (Q)
|
95% |
10376
123.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4886
37.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4856
37.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
11311
103.6 IPS |
|
|
Style Transfer (SP)
|
89% |
11931
15.5 IPS |
|
|
Style Transfer (HP)
|
89% |
12006
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
26189
33.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2553
94.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2393
88.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6815
252.5 IPS |
|
|
Text Classification (SP)
|
100% |
995
1.33 KIPS |
|
|
Text Classification (HP)
|
99% |
1002
1.34 KIPS |
|
|
Text Classification (Q)
|
88% |
1088
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1362
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1382
23.8 IPS |
|
|
Machine Translation (Q)
|
50% |
584
20.7 IPS |
