Samsung Galaxy S25
Geekbench AI Score
2112
Single Precision Score
3313
Half Precision Score
2566
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 20 2025 06:56 AM |
| 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% |
1719
319.7 IPS |
|
|
Image Classification (HP)
|
100% |
2467
458.7 IPS |
|
|
Image Classification (Q)
|
100% |
2635
490.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4031
65.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6204
100.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5035
81.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13784
16.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
24644
28.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13283
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
943
74.8 IPS |
|
|
Object Detection (HP)
|
99% |
915
72.6 IPS |
|
|
Object Detection (Q)
|
85% |
876
70.5 IPS |
|
|
Face Detection (SP)
|
100% |
2665
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
4201
49.9 IPS |
|
|
Face Detection (Q)
|
97% |
5063
60.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3847
29.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
9467
73.2 IPS |
|
|
Depth Estimation (Q)
|
61% |
7422
72.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17266
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38183
49.1 IPS |
|
|
Style Transfer (Q)
|
98% |
25267
32.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2570
94.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4060
149.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3393
125.7 IPS |
|
|
Text Classification (SP)
|
35% |
42
407.5 IPS |
|
|
Text Classification (HP)
|
35% |
71
645.4 IPS |
|
|
Text Classification (Q)
|
33% |
60
672.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1029
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1055
18.2 IPS |
|
|
Machine Translation (Q)
|
48% |
415
15.9 IPS |
