Samsung Galaxy S25+
Geekbench AI Score
2132
Single Precision Score
3248
Half Precision Score
2764
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 31 2025 03:37 AM |
| Views | 2 |
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-S936N |
| 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% |
1288
239.6 IPS |
|
|
Image Classification (HP)
|
100% |
2108
392.1 IPS |
|
|
Image Classification (Q)
|
100% |
1910
355.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2641
42.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4176
67.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4377
71.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10207
11.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
18395
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17934
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
1343
106.5 IPS |
|
|
Object Detection (HP)
|
99% |
1528
121.2 IPS |
|
|
Object Detection (Q)
|
85% |
1480
119.2 IPS |
|
|
Face Detection (SP)
|
100% |
4431
52.7 IPS |
|
|
Face Detection (HP)
|
100% |
7942
94.4 IPS |
|
|
Face Detection (Q)
|
97% |
6541
78.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5176
39.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
7352
56.8 IPS |
|
|
Depth Estimation (Q)
|
61% |
5732
55.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13288
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
25827
33.2 IPS |
|
|
Style Transfer (Q)
|
98% |
25588
33.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2524
93.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4350
160.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4271
158.3 IPS |
|
|
Text Classification (SP)
|
35% |
66
638.6 IPS |
|
|
Text Classification (HP)
|
35% |
66
601.4 IPS |
|
|
Text Classification (Q)
|
33% |
54
603.7 IPS |
|
|
Machine Translation (SP)
|
100% |
822
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1221
21.0 IPS |
|
|
Machine Translation (Q)
|
48% |
531
20.4 IPS |
