Samsung Galaxy S25
Geekbench AI Score
2512
Single Precision Score
3640
Half Precision Score
3269
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 04 2025 12:51 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% |
1697
315.7 IPS |
|
|
Image Classification (HP)
|
100% |
2463
458.1 IPS |
|
|
Image Classification (Q)
|
100% |
2085
387.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3732
60.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5284
85.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5803
94.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13793
16.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
24727
28.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
24160
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
1052
83.4 IPS |
|
|
Object Detection (HP)
|
99% |
1042
82.6 IPS |
|
|
Object Detection (Q)
|
85% |
1076
86.6 IPS |
|
|
Face Detection (SP)
|
100% |
3612
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
5197
61.8 IPS |
|
|
Face Detection (Q)
|
97% |
8235
98.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6631
51.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
9126
70.5 IPS |
|
|
Depth Estimation (Q)
|
61% |
7091
69.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16369
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35774
46.0 IPS |
|
|
Style Transfer (Q)
|
98% |
35061
45.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3508
129.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5504
203.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5258
194.9 IPS |
|
|
Text Classification (SP)
|
35% |
75
729.6 IPS |
|
|
Text Classification (HP)
|
35% |
84
765.8 IPS |
|
|
Text Classification (Q)
|
33% |
62
699.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1059
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1556
26.8 IPS |
|
|
Machine Translation (Q)
|
48% |
664
25.5 IPS |
