Samsung Galaxy S25+
Geekbench AI Score
2473
Single Precision Score
2625
Half Precision Score
4166
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 18 2025 03:34 PM |
| Views | 4 |
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% |
2025
376.6 IPS |
|
|
Image Classification (HP)
|
100% |
1985
369.2 IPS |
|
|
Image Classification (Q)
|
100% |
4465
830.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2477
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2403
38.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5103
83.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5475
6.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
5327
6.22 IPS |
|
|
Pose Estimation (Q)
|
84% |
12369
14.7 IPS |
|
|
Object Detection (SP)
|
98% |
1145
91.1 IPS |
|
|
Object Detection (HP)
|
98% |
1438
114.5 IPS |
|
|
Object Detection (Q)
|
83% |
1831
147.9 IPS |
|
|
Face Detection (SP)
|
100% |
4333
51.5 IPS |
|
|
Face Detection (HP)
|
100% |
4316
51.3 IPS |
|
|
Face Detection (Q)
|
95% |
9574
114.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
4667
36.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4703
36.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
9743
89.2 IPS |
|
|
Style Transfer (SP)
|
89% |
8969
11.6 IPS |
|
|
Style Transfer (HP)
|
89% |
11791
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
25535
32.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1868
69.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1694
62.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4573
169.4 IPS |
|
|
Text Classification (SP)
|
100% |
572
764.0 IPS |
|
|
Text Classification (HP)
|
99% |
745
994.2 IPS |
|
|
Text Classification (Q)
|
88% |
686
925.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1407
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1408
24.3 IPS |
|
|
Machine Translation (Q)
|
50% |
409
14.5 IPS |
