Samsung Galaxy S25+
Geekbench AI Score
2668
Single Precision Score
2664
Half Precision Score
4821
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 03:17 AM |
| 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-S936U1 |
| 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% |
1816
337.7 IPS |
|
|
Image Classification (HP)
|
100% |
1939
360.5 IPS |
|
|
Image Classification (Q)
|
100% |
4157
773.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2311
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2401
38.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4984
81.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5304
6.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
5029
5.87 IPS |
|
|
Pose Estimation (Q)
|
84% |
12827
15.2 IPS |
|
|
Object Detection (SP)
|
98% |
1636
130.2 IPS |
|
|
Object Detection (HP)
|
98% |
1639
130.4 IPS |
|
|
Object Detection (Q)
|
83% |
3562
287.7 IPS |
|
|
Face Detection (SP)
|
100% |
4087
48.6 IPS |
|
|
Face Detection (HP)
|
100% |
4053
48.2 IPS |
|
|
Face Detection (Q)
|
95% |
9336
111.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
4239
32.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4104
31.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
9961
91.2 IPS |
|
|
Style Transfer (SP)
|
89% |
11080
14.4 IPS |
|
|
Style Transfer (HP)
|
89% |
11044
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
23981
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2208
81.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2199
81.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6164
228.4 IPS |
|
|
Text Classification (SP)
|
100% |
905
1.21 KIPS |
|
|
Text Classification (HP)
|
99% |
921
1.23 KIPS |
|
|
Text Classification (Q)
|
88% |
1007
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1312
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1265
21.8 IPS |
|
|
Machine Translation (Q)
|
50% |
518
18.4 IPS |
