Samsung Galaxy S25+
Geekbench AI Score
2547
Single Precision Score
2903
Half Precision Score
5231
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 17 2025 12:01 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1820
338.5 IPS |
|
|
Image Classification (HP)
|
100% |
2080
386.7 IPS |
|
|
Image Classification (Q)
|
100% |
4366
811.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2432
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2561
41.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5388
87.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5562
6.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
5423
6.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
13688
16.2 IPS |
|
|
Object Detection (SP)
|
98% |
1736
138.2 IPS |
|
|
Object Detection (HP)
|
98% |
1733
137.9 IPS |
|
|
Object Detection (Q)
|
83% |
4173
337.1 IPS |
|
|
Face Detection (SP)
|
100% |
4513
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
4543
54.0 IPS |
|
|
Face Detection (Q)
|
95% |
10062
120.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
4731
36.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4641
35.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
10932
100.1 IPS |
|
|
Style Transfer (SP)
|
89% |
11830
15.4 IPS |
|
|
Style Transfer (HP)
|
89% |
11657
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
24993
32.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2430
89.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2492
92.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6799
251.9 IPS |
|
|
Text Classification (SP)
|
100% |
314
419.2 IPS |
|
|
Text Classification (HP)
|
99% |
1001
1.34 KIPS |
|
|
Text Classification (Q)
|
88% |
1069
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1400
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1385
23.9 IPS |
|
|
Machine Translation (Q)
|
50% |
572
20.3 IPS |
