Samsung Galaxy S25
Geekbench AI Score
2311
Single Precision Score
3612
Half Precision Score
2946
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 11 2025 11:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S25 |
| Model ID | samsung SM-S931U1 |
| 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% |
1195
222.2 IPS |
|
|
Image Classification (HP)
|
100% |
1942
361.2 IPS |
|
|
Image Classification (Q)
|
100% |
1947
362.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3119
50.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4425
71.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4438
72.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12190
14.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
22155
25.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
20096
23.6 IPS |
|
|
Object Detection (SP)
|
100% |
1218
96.6 IPS |
|
|
Object Detection (HP)
|
99% |
1487
117.9 IPS |
|
|
Object Detection (Q)
|
85% |
1476
118.8 IPS |
|
|
Face Detection (SP)
|
100% |
4653
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
8360
99.3 IPS |
|
|
Face Detection (Q)
|
97% |
7478
89.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5873
45.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
8858
68.5 IPS |
|
|
Depth Estimation (Q)
|
61% |
6065
59.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13676
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
29925
38.5 IPS |
|
|
Style Transfer (Q)
|
98% |
29710
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3191
117.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4943
182.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4787
177.4 IPS |
|
|
Text Classification (SP)
|
35% |
70
678.6 IPS |
|
|
Text Classification (HP)
|
35% |
77
701.9 IPS |
|
|
Text Classification (Q)
|
33% |
52
576.7 IPS |
|
|
Machine Translation (SP)
|
100% |
941
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1583
27.3 IPS |
|
|
Machine Translation (Q)
|
48% |
573
22.0 IPS |
