Samsung Galaxy S25
Geekbench AI Score
2573
Single Precision Score
2547
Half Precision Score
4643
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 20 2025 04:04 PM |
| Views | 1 |
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-S931U |
| 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% |
1944
361.5 IPS |
|
|
Image Classification (HP)
|
100% |
1919
356.8 IPS |
|
|
Image Classification (Q)
|
100% |
3052
567.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2164
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2258
36.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4613
75.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3910
4.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
3880
4.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
10172
12.1 IPS |
|
|
Object Detection (SP)
|
98% |
1183
94.2 IPS |
|
|
Object Detection (HP)
|
98% |
1177
93.6 IPS |
|
|
Object Detection (Q)
|
83% |
4245
342.9 IPS |
|
|
Face Detection (SP)
|
100% |
4515
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
4232
50.3 IPS |
|
|
Face Detection (Q)
|
95% |
9826
117.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
4675
36.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4433
34.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
10743
98.4 IPS |
|
|
Style Transfer (SP)
|
89% |
11180
14.5 IPS |
|
|
Style Transfer (HP)
|
89% |
10987
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
23000
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2188
80.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2300
84.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6215
230.3 IPS |
|
|
Text Classification (SP)
|
100% |
986
1.32 KIPS |
|
|
Text Classification (HP)
|
99% |
1023
1.37 KIPS |
|
|
Text Classification (Q)
|
88% |
1000
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1285
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1201
20.7 IPS |
|
|
Machine Translation (Q)
|
50% |
508
18.0 IPS |
