Samsung Galaxy S25
Geekbench AI Score
1885
Single Precision Score
3006
Half Precision Score
2580
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Ncard00 |
| Upload Date | September 18 2025 08:05 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1666
309.9 IPS |
|
|
Image Classification (HP)
|
100% |
2960
550.4 IPS |
|
|
Image Classification (Q)
|
100% |
3003
558.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3357
54.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5264
85.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5811
94.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13622
15.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
24598
28.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
10919
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
680
53.9 IPS |
|
|
Object Detection (HP)
|
99% |
904
71.7 IPS |
|
|
Object Detection (Q)
|
85% |
960
77.3 IPS |
|
|
Face Detection (SP)
|
100% |
3064
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
5374
63.9 IPS |
|
|
Face Detection (Q)
|
97% |
4687
55.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3141
24.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
4265
33.0 IPS |
|
|
Depth Estimation (Q)
|
61% |
4267
41.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9507
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23026
29.6 IPS |
|
|
Style Transfer (Q)
|
98% |
24569
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2497
92.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4050
149.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4039
149.7 IPS |
|
|
Text Classification (SP)
|
35% |
55
533.6 IPS |
|
|
Text Classification (HP)
|
35% |
53
478.0 IPS |
|
|
Text Classification (Q)
|
33% |
59
661.0 IPS |
|
|
Machine Translation (SP)
|
100% |
872
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1537
26.5 IPS |
|
|
Machine Translation (Q)
|
48% |
612
23.5 IPS |
