Samsung Galaxy S25+
Geekbench AI Score
2928
Single Precision Score
2940
Half Precision Score
5314
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | January 29 2026 09:00 AM |
| Views | 8 |
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-S936B |
| 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% |
2011
374.0 IPS |
|
|
Image Classification (HP)
|
100% |
2126
395.3 IPS |
|
|
Image Classification (Q)
|
100% |
4754
884.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2473
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2580
41.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5630
91.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5836
6.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
5636
6.58 IPS |
|
|
Pose Estimation (Q)
|
84% |
13799
16.4 IPS |
|
|
Object Detection (SP)
|
98% |
1775
141.3 IPS |
|
|
Object Detection (HP)
|
98% |
1801
143.3 IPS |
|
|
Object Detection (Q)
|
83% |
3972
320.8 IPS |
|
|
Face Detection (SP)
|
100% |
4566
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
4525
53.8 IPS |
|
|
Face Detection (Q)
|
95% |
10124
120.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4893
37.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4680
36.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
10794
98.9 IPS |
|
|
Style Transfer (SP)
|
89% |
11685
15.2 IPS |
|
|
Style Transfer (HP)
|
89% |
11778
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
25389
32.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2476
91.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2510
92.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6967
258.2 IPS |
|
|
Text Classification (SP)
|
100% |
1002
1.34 KIPS |
|
|
Text Classification (HP)
|
99% |
1007
1.34 KIPS |
|
|
Text Classification (Q)
|
88% |
1097
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1389
23.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1379
23.8 IPS |
|
|
Machine Translation (Q)
|
50% |
578
20.5 IPS |
