Samsung Galaxy S25+
Geekbench AI Score
2460
Single Precision Score
2461
Half Precision Score
4049
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | EpicFailure |
| Upload Date | July 01 2025 01:23 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1902
353.8 IPS |
|
|
Image Classification (HP)
|
100% |
1987
369.6 IPS |
|
|
Image Classification (Q)
|
100% |
4450
827.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2373
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2445
39.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4962
80.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5286
6.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
5198
6.07 IPS |
|
|
Pose Estimation (Q)
|
84% |
8732
10.4 IPS |
|
|
Object Detection (SP)
|
98% |
1042
82.9 IPS |
|
|
Object Detection (HP)
|
98% |
1194
95.0 IPS |
|
|
Object Detection (Q)
|
83% |
3110
251.2 IPS |
|
|
Face Detection (SP)
|
100% |
3885
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
4349
51.7 IPS |
|
|
Face Detection (Q)
|
95% |
9543
113.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4774
36.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4638
35.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
10441
95.6 IPS |
|
|
Style Transfer (SP)
|
89% |
9907
12.9 IPS |
|
|
Style Transfer (HP)
|
89% |
8908
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
16972
21.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1705
63.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1895
70.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4815
178.4 IPS |
|
|
Text Classification (SP)
|
100% |
805
1.07 KIPS |
|
|
Text Classification (HP)
|
99% |
610
814.5 IPS |
|
|
Text Classification (Q)
|
88% |
583
786.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1299
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1302
22.4 IPS |
|
|
Machine Translation (Q)
|
50% |
417
14.8 IPS |
