Samsung Galaxy S25
Geekbench AI Score
2700
Single Precision Score
2726
Half Precision Score
4900
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 14 2025 11:00 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1828
339.9 IPS |
|
|
Image Classification (HP)
|
100% |
1836
341.4 IPS |
|
|
Image Classification (Q)
|
100% |
4016
746.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2218
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2227
36.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4833
78.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5338
6.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
5428
6.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
14079
16.7 IPS |
|
|
Object Detection (SP)
|
98% |
1675
133.3 IPS |
|
|
Object Detection (HP)
|
98% |
1625
129.3 IPS |
|
|
Object Detection (Q)
|
83% |
3847
310.7 IPS |
|
|
Face Detection (SP)
|
100% |
4241
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
4248
50.5 IPS |
|
|
Face Detection (Q)
|
95% |
9039
107.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4445
34.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4536
35.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
10451
95.7 IPS |
|
|
Style Transfer (SP)
|
89% |
11294
14.7 IPS |
|
|
Style Transfer (HP)
|
89% |
11364
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
25384
32.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2163
79.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2304
85.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6050
224.2 IPS |
|
|
Text Classification (SP)
|
100% |
925
1.24 KIPS |
|
|
Text Classification (HP)
|
99% |
946
1.26 KIPS |
|
|
Text Classification (Q)
|
88% |
989
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1334
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1321
22.8 IPS |
|
|
Machine Translation (Q)
|
50% |
530
18.8 IPS |
