Samsung Galaxy S25
Geekbench AI Score
2665
Single Precision Score
3778
Half Precision Score
3245
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 24 2025 09:38 PM |
| Views | 6 |
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-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% |
1582
294.2 IPS |
|
|
Image Classification (HP)
|
100% |
2301
427.8 IPS |
|
|
Image Classification (Q)
|
100% |
2151
400.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3166
51.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5215
84.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5599
91.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13879
16.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
24727
28.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
24393
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
1542
122.3 IPS |
|
|
Object Detection (HP)
|
99% |
1991
157.9 IPS |
|
|
Object Detection (Q)
|
85% |
1928
155.2 IPS |
|
|
Face Detection (SP)
|
100% |
5377
63.9 IPS |
|
|
Face Detection (HP)
|
100% |
4901
58.2 IPS |
|
|
Face Detection (Q)
|
97% |
4277
51.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5565
42.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
7828
60.5 IPS |
|
|
Depth Estimation (Q)
|
61% |
6063
59.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16325
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35730
45.9 IPS |
|
|
Style Transfer (Q)
|
98% |
35247
45.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3728
137.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5678
209.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5670
210.1 IPS |
|
|
Text Classification (SP)
|
35% |
87
847.3 IPS |
|
|
Text Classification (HP)
|
35% |
85
774.6 IPS |
|
|
Text Classification (Q)
|
33% |
71
795.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1065
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1517
26.1 IPS |
|
|
Machine Translation (Q)
|
48% |
623
23.9 IPS |
