Samsung Galaxy S25
Geekbench AI Score
2576
Single Precision Score
3823
Half Precision Score
3329
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | February 20 2026 12:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S25 |
| Model ID | samsung SM-S931N |
| 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% |
1819
338.4 IPS |
|
|
Image Classification (HP)
|
100% |
3440
639.7 IPS |
|
|
Image Classification (Q)
|
100% |
3276
609.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3849
62.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5394
87.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5037
81.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13802
16.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
24704
28.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
23987
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
1404
111.4 IPS |
|
|
Object Detection (HP)
|
99% |
1124
89.1 IPS |
|
|
Object Detection (Q)
|
85% |
1472
118.5 IPS |
|
|
Face Detection (SP)
|
100% |
4263
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
7649
90.9 IPS |
|
|
Face Detection (Q)
|
97% |
6635
79.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6430
49.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
8837
68.3 IPS |
|
|
Depth Estimation (Q)
|
61% |
6849
66.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17375
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38253
49.2 IPS |
|
|
Style Transfer (Q)
|
98% |
37578
48.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3103
114.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4430
163.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4319
160.1 IPS |
|
|
Text Classification (SP)
|
35% |
61
598.0 IPS |
|
|
Text Classification (HP)
|
35% |
71
642.0 IPS |
|
|
Text Classification (Q)
|
33% |
69
777.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1052
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1595
27.5 IPS |
|
|
Machine Translation (Q)
|
48% |
564
21.6 IPS |
