Samsung Galaxy S25
Geekbench AI Score
2342
Single Precision Score
3818
Half Precision Score
3314
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 22 2025 10:48 PM |
| Views | 1 |
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% |
1758
326.9 IPS |
|
|
Image Classification (HP)
|
100% |
2963
551.0 IPS |
|
|
Image Classification (Q)
|
100% |
2957
549.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3768
61.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6437
104.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
6371
103.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13049
15.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
22618
26.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
22289
26.1 IPS |
|
|
Object Detection (SP)
|
100% |
1166
92.5 IPS |
|
|
Object Detection (HP)
|
99% |
1558
123.6 IPS |
|
|
Object Detection (Q)
|
85% |
1194
96.1 IPS |
|
|
Face Detection (SP)
|
100% |
3413
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
5576
66.3 IPS |
|
|
Face Detection (Q)
|
97% |
6922
82.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4685
36.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
6771
52.3 IPS |
|
|
Depth Estimation (Q)
|
61% |
6128
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13890
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33055
42.5 IPS |
|
|
Style Transfer (Q)
|
98% |
32733
42.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3268
120.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5381
198.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5014
185.8 IPS |
|
|
Text Classification (SP)
|
35% |
73
708.5 IPS |
|
|
Text Classification (HP)
|
35% |
78
712.6 IPS |
|
|
Text Classification (Q)
|
33% |
61
688.2 IPS |
|
|
Machine Translation (SP)
|
100% |
930
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1870
32.2 IPS |
|
|
Machine Translation (Q)
|
48% |
752
28.8 IPS |
