Samsung Galaxy S25+
Geekbench AI Score
616
Single Precision Score
642
Half Precision Score
1340
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 02:35 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S25+ |
| Model ID | samsung SM-S936U |
| 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 | 10.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
434
80.7 IPS |
|
|
Image Classification (HP)
|
100% |
431
80.1 IPS |
|
|
Image Classification (Q)
|
99% |
1096
204.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
561
9.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
561
9.09 IPS |
|
|
Image Segmentation (Q)
|
98% |
1117
18.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
747
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
743
0.87 IPS |
|
|
Pose Estimation (Q)
|
98% |
2979
3.49 IPS |
|
|
Object Detection (SP)
|
100% |
409
32.4 IPS |
|
|
Object Detection (HP)
|
100% |
357
28.3 IPS |
|
|
Object Detection (Q)
|
87% |
632
50.7 IPS |
|
|
Face Detection (SP)
|
100% |
642
7.63 IPS |
|
|
Face Detection (HP)
|
100% |
795
9.45 IPS |
|
|
Face Detection (Q)
|
97% |
1795
21.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
876
6.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
917
7.06 IPS |
|
|
Depth Estimation (Q)
|
64% |
1846
16.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1180
1.52 IPS |
|
|
Style Transfer (HP)
|
100% |
1248
1.60 IPS |
|
|
Style Transfer (Q)
|
98% |
2908
3.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
339
12.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
403
14.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1496
55.4 IPS |
|
|
Text Classification (SP)
|
100% |
538
717.9 IPS |
|
|
Text Classification (HP)
|
100% |
539
718.9 IPS |
|
|
Text Classification (Q)
|
91% |
829
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
882
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
942
16.2 IPS |
|
|
Machine Translation (Q)
|
57% |
679
16.6 IPS |
