Samsung Galaxy S25+
Geekbench AI Score
2777
Single Precision Score
4449
Half Precision Score
3811
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 16 2025 04:53 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1586
294.9 IPS |
|
|
Image Classification (HP)
|
100% |
3527
655.9 IPS |
|
|
Image Classification (Q)
|
100% |
2898
538.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3457
56.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5653
91.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5770
93.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13803
16.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
24837
29.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
24369
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
1552
123.1 IPS |
|
|
Object Detection (HP)
|
99% |
2136
169.4 IPS |
|
|
Object Detection (Q)
|
85% |
2424
195.1 IPS |
|
|
Face Detection (SP)
|
100% |
5233
62.2 IPS |
|
|
Face Detection (HP)
|
100% |
9484
112.7 IPS |
|
|
Face Detection (Q)
|
97% |
8361
99.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7089
54.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
9645
74.5 IPS |
|
|
Depth Estimation (Q)
|
61% |
7436
72.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17376
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38204
49.1 IPS |
|
|
Style Transfer (Q)
|
98% |
37457
48.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3717
137.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6040
223.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5826
215.9 IPS |
|
|
Text Classification (SP)
|
35% |
96
932.9 IPS |
|
|
Text Classification (HP)
|
35% |
85
775.9 IPS |
|
|
Text Classification (Q)
|
33% |
69
777.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1012
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1601
27.6 IPS |
|
|
Machine Translation (Q)
|
48% |
700
26.9 IPS |
