Samsung Galaxy S25
Geekbench AI Score
2452
Single Precision Score
2403
Half Precision Score
3956
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 11 2025 02:16 PM |
| Views | 8 |
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% |
2041
379.6 IPS |
|
|
Image Classification (HP)
|
100% |
2035
378.4 IPS |
|
|
Image Classification (Q)
|
100% |
4581
852.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2439
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2432
39.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5020
81.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5308
6.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
3884
4.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
10137
12.0 IPS |
|
|
Object Detection (SP)
|
98% |
1330
105.8 IPS |
|
|
Object Detection (HP)
|
98% |
1206
95.9 IPS |
|
|
Object Detection (Q)
|
83% |
2762
223.1 IPS |
|
|
Face Detection (SP)
|
100% |
3440
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
4150
49.3 IPS |
|
|
Face Detection (Q)
|
95% |
8756
104.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
4082
31.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4537
35.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
9126
83.6 IPS |
|
|
Style Transfer (SP)
|
89% |
8387
10.9 IPS |
|
|
Style Transfer (HP)
|
89% |
8577
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
18157
23.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1681
62.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1692
62.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4561
169.0 IPS |
|
|
Text Classification (SP)
|
100% |
841
1.12 KIPS |
|
|
Text Classification (HP)
|
99% |
802
1.07 KIPS |
|
|
Text Classification (Q)
|
88% |
668
901.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1343
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1265
21.8 IPS |
|
|
Machine Translation (Q)
|
50% |
330
11.7 IPS |
