Samsung Galaxy S25
Geekbench AI Score
2002
Single Precision Score
2800
Half Precision Score
2654
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | June 30 2025 08:24 PM |
| Views | 3 |
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-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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1639
304.7 IPS |
|
|
Image Classification (HP)
|
100% |
2635
490.1 IPS |
|
|
Image Classification (Q)
|
100% |
2624
488.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3759
60.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5247
85.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
6448
104.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13841
16.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
24954
29.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
24251
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
1538
122.0 IPS |
|
|
Object Detection (HP)
|
99% |
1024
81.2 IPS |
|
|
Object Detection (Q)
|
85% |
1020
82.1 IPS |
|
|
Face Detection (SP)
|
100% |
3214
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
4670
55.5 IPS |
|
|
Face Detection (Q)
|
97% |
4339
51.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3216
24.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
9643
74.5 IPS |
|
|
Depth Estimation (Q)
|
61% |
7559
73.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17469
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
17475
22.5 IPS |
|
|
Style Transfer (Q)
|
98% |
17416
22.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1761
65.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2912
107.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2715
100.6 IPS |
|
|
Text Classification (SP)
|
35% |
36
347.4 IPS |
|
|
Text Classification (HP)
|
35% |
37
334.5 IPS |
|
|
Text Classification (Q)
|
33% |
53
590.6 IPS |
|
|
Machine Translation (SP)
|
100% |
689
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
992
17.1 IPS |
|
|
Machine Translation (Q)
|
48% |
505
19.4 IPS |
