Samsung Galaxy S25+
Geekbench AI Score
2308
Single Precision Score
3439
Half Precision Score
2971
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | khdhmnyu |
| Upload Date | January 10 2026 12:58 PM |
| Views | 8 |
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-S9360 |
| 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% |
1892
351.9 IPS |
|
|
Image Classification (HP)
|
100% |
3175
590.5 IPS |
|
|
Image Classification (Q)
|
100% |
3030
563.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3754
60.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6382
103.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
6369
103.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13826
16.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
20251
23.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
19234
22.5 IPS |
|
|
Object Detection (SP)
|
100% |
1364
108.2 IPS |
|
|
Object Detection (HP)
|
99% |
1169
92.7 IPS |
|
|
Object Detection (Q)
|
85% |
1098
88.4 IPS |
|
|
Face Detection (SP)
|
100% |
4093
48.6 IPS |
|
|
Face Detection (HP)
|
100% |
7038
83.6 IPS |
|
|
Face Detection (Q)
|
97% |
5967
71.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4659
35.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
6788
52.5 IPS |
|
|
Depth Estimation (Q)
|
61% |
7439
72.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17703
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
39693
51.0 IPS |
|
|
Style Transfer (Q)
|
98% |
39281
50.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2682
99.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4594
169.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4574
169.5 IPS |
|
|
Text Classification (SP)
|
35% |
45
438.3 IPS |
|
|
Text Classification (HP)
|
35% |
43
390.3 IPS |
|
|
Text Classification (Q)
|
33% |
31
352.2 IPS |
|
|
Machine Translation (SP)
|
100% |
787
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1290
22.2 IPS |
|
|
Machine Translation (Q)
|
48% |
532
20.4 IPS |
