Samsung Galaxy S25
Geekbench AI Score
2651
Single Precision Score
2651
Half Precision Score
4211
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 26 2025 09:20 AM |
| Views | 5 |
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% |
1879
349.5 IPS |
|
|
Image Classification (HP)
|
100% |
1851
344.2 IPS |
|
|
Image Classification (Q)
|
100% |
4187
778.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2290
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2283
37.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5038
81.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5388
6.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
5334
6.22 IPS |
|
|
Pose Estimation (Q)
|
84% |
13319
15.8 IPS |
|
|
Object Detection (SP)
|
98% |
1515
120.5 IPS |
|
|
Object Detection (HP)
|
98% |
1356
107.9 IPS |
|
|
Object Detection (Q)
|
83% |
1475
119.1 IPS |
|
|
Face Detection (SP)
|
100% |
4274
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
4203
49.9 IPS |
|
|
Face Detection (Q)
|
95% |
9484
113.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4761
36.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4709
36.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
10817
99.1 IPS |
|
|
Style Transfer (SP)
|
89% |
11533
15.0 IPS |
|
|
Style Transfer (HP)
|
89% |
11257
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
17534
22.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1860
68.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1977
73.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5211
193.1 IPS |
|
|
Text Classification (SP)
|
100% |
793
1.06 KIPS |
|
|
Text Classification (HP)
|
99% |
972
1.30 KIPS |
|
|
Text Classification (Q)
|
88% |
1072
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1411
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1311
22.6 IPS |
|
|
Machine Translation (Q)
|
50% |
422
15.0 IPS |
