Samsung Galaxy S25+
Geekbench AI Score
2451
Single Precision Score
2491
Half Precision Score
4668
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 29 2025 01:50 PM |
| Views | 1 |
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-S936U1 |
| 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% |
1796
334.0 IPS |
|
|
Image Classification (HP)
|
100% |
1561
290.3 IPS |
|
|
Image Classification (Q)
|
100% |
4070
756.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2159
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2183
35.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5126
83.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3892
4.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
4687
5.47 IPS |
|
|
Pose Estimation (Q)
|
84% |
11494
13.6 IPS |
|
|
Object Detection (SP)
|
98% |
1540
122.6 IPS |
|
|
Object Detection (HP)
|
98% |
1583
126.0 IPS |
|
|
Object Detection (Q)
|
83% |
3661
295.7 IPS |
|
|
Face Detection (SP)
|
100% |
3821
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
3772
44.8 IPS |
|
|
Face Detection (Q)
|
95% |
8916
106.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3760
29.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4007
31.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
8505
77.9 IPS |
|
|
Style Transfer (SP)
|
89% |
10332
13.4 IPS |
|
|
Style Transfer (HP)
|
89% |
10227
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
23161
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2098
77.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2094
77.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6274
232.5 IPS |
|
|
Text Classification (SP)
|
100% |
906
1.21 KIPS |
|
|
Text Classification (HP)
|
99% |
946
1.26 KIPS |
|
|
Text Classification (Q)
|
88% |
988
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1194
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1193
20.6 IPS |
|
|
Machine Translation (Q)
|
50% |
514
18.2 IPS |
