Samsung Galaxy S25
Geekbench AI Score
2602
Single Precision Score
2777
Half Precision Score
5036
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 25 2025 10:40 AM |
| Views | 3 |
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-S931N |
| 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% |
1877
349.0 IPS |
|
|
Image Classification (HP)
|
100% |
1884
350.3 IPS |
|
|
Image Classification (Q)
|
100% |
4117
765.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
962
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2292
37.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4950
80.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5697
6.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
5594
6.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
14855
17.6 IPS |
|
|
Object Detection (SP)
|
98% |
1732
137.8 IPS |
|
|
Object Detection (HP)
|
98% |
1716
136.5 IPS |
|
|
Object Detection (Q)
|
83% |
3972
320.8 IPS |
|
|
Face Detection (SP)
|
100% |
4433
52.7 IPS |
|
|
Face Detection (HP)
|
100% |
4251
50.5 IPS |
|
|
Face Detection (Q)
|
95% |
9356
111.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
4683
36.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4531
35.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
10868
99.5 IPS |
|
|
Style Transfer (SP)
|
89% |
11995
15.6 IPS |
|
|
Style Transfer (HP)
|
89% |
12023
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
26178
33.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2424
89.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2385
88.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6348
235.2 IPS |
|
|
Text Classification (SP)
|
100% |
966
1.29 KIPS |
|
|
Text Classification (HP)
|
99% |
971
1.30 KIPS |
|
|
Text Classification (Q)
|
88% |
1038
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1373
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1230
21.2 IPS |
|
|
Machine Translation (Q)
|
50% |
498
17.7 IPS |
