Samsung Galaxy S25
Geekbench AI Score
2068
Single Precision Score
3003
Half Precision Score
2565
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Goku_is_Gei |
| Upload Date | August 22 2025 04:13 PM |
| Views | 4 |
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-S931W |
| 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% |
1634
303.8 IPS |
|
|
Image Classification (HP)
|
100% |
2246
417.8 IPS |
|
|
Image Classification (Q)
|
100% |
2005
372.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3159
51.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4869
78.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4881
79.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13727
16.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
24642
28.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
24214
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
1551
123.1 IPS |
|
|
Object Detection (HP)
|
99% |
2033
161.3 IPS |
|
|
Object Detection (Q)
|
85% |
1929
155.3 IPS |
|
|
Face Detection (SP)
|
100% |
3029
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
4566
54.3 IPS |
|
|
Face Detection (Q)
|
97% |
4462
53.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3168
24.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
9595
74.2 IPS |
|
|
Depth Estimation (Q)
|
61% |
7433
72.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16797
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
22059
28.4 IPS |
|
|
Style Transfer (Q)
|
98% |
21875
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2309
85.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2718
100.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2671
99.0 IPS |
|
|
Text Classification (SP)
|
35% |
36
347.9 IPS |
|
|
Text Classification (HP)
|
35% |
35
315.3 IPS |
|
|
Text Classification (Q)
|
33% |
30
333.0 IPS |
|
|
Machine Translation (SP)
|
100% |
974
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1187
20.4 IPS |
|
|
Machine Translation (Q)
|
48% |
465
17.8 IPS |
