Samsung Galaxy S25+
Geekbench AI Score
2572
Single Precision Score
2496
Half Precision Score
3919
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 29 2025 01:18 PM |
| Views | 3 |
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-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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1993
370.7 IPS |
|
|
Image Classification (HP)
|
100% |
2061
383.2 IPS |
|
|
Image Classification (Q)
|
100% |
4425
822.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2333
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2510
40.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5105
83.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5367
6.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
3548
4.14 IPS |
|
|
Pose Estimation (Q)
|
84% |
10034
11.9 IPS |
|
|
Object Detection (SP)
|
98% |
1458
116.1 IPS |
|
|
Object Detection (HP)
|
98% |
1223
97.3 IPS |
|
|
Object Detection (Q)
|
83% |
2204
178.0 IPS |
|
|
Face Detection (SP)
|
100% |
3776
44.9 IPS |
|
|
Face Detection (HP)
|
100% |
4302
51.1 IPS |
|
|
Face Detection (Q)
|
95% |
8922
106.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
4504
34.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4532
35.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
8989
82.3 IPS |
|
|
Style Transfer (SP)
|
89% |
8630
11.2 IPS |
|
|
Style Transfer (HP)
|
89% |
8915
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
19609
25.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1896
70.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2044
75.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4792
177.6 IPS |
|
|
Text Classification (SP)
|
100% |
906
1.21 KIPS |
|
|
Text Classification (HP)
|
99% |
904
1.21 KIPS |
|
|
Text Classification (Q)
|
88% |
612
825.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1383
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1304
22.5 IPS |
|
|
Machine Translation (Q)
|
50% |
371
13.2 IPS |
