Samsung Galaxy S25+
Geekbench AI Score
2555
Single Precision Score
4177
Half Precision Score
3447
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 11:51 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1723
320.4 IPS |
|
|
Image Classification (HP)
|
100% |
3001
558.1 IPS |
|
|
Image Classification (Q)
|
100% |
3001
558.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3565
57.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6330
102.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5734
93.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13700
16.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
24910
29.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
24211
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
1308
103.8 IPS |
|
|
Object Detection (HP)
|
99% |
1657
131.4 IPS |
|
|
Object Detection (Q)
|
85% |
1662
133.8 IPS |
|
|
Face Detection (SP)
|
100% |
4342
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
8175
97.1 IPS |
|
|
Face Detection (Q)
|
97% |
6272
74.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5968
46.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
8375
64.7 IPS |
|
|
Depth Estimation (Q)
|
61% |
6486
63.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17412
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38014
48.9 IPS |
|
|
Style Transfer (Q)
|
98% |
37387
48.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3010
111.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4794
177.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4715
174.8 IPS |
|
|
Text Classification (SP)
|
35% |
74
716.1 IPS |
|
|
Text Classification (HP)
|
35% |
91
830.4 IPS |
|
|
Text Classification (Q)
|
33% |
73
818.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1075
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1818
31.3 IPS |
|
|
Machine Translation (Q)
|
48% |
655
25.1 IPS |
