Samsung Galaxy S25+
Geekbench AI Score
2939
Single Precision Score
2906
Half Precision Score
5281
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 27 2025 01:17 PM |
| Views | 7 |
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-S936N |
| 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% |
1982
368.7 IPS |
|
|
Image Classification (HP)
|
100% |
1984
369.0 IPS |
|
|
Image Classification (Q)
|
100% |
4472
831.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2516
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2494
40.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5183
84.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5786
6.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
5647
6.59 IPS |
|
|
Pose Estimation (Q)
|
84% |
13792
16.4 IPS |
|
|
Object Detection (SP)
|
98% |
1823
145.1 IPS |
|
|
Object Detection (HP)
|
98% |
1747
139.0 IPS |
|
|
Object Detection (Q)
|
83% |
4114
332.4 IPS |
|
|
Face Detection (SP)
|
100% |
4541
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
4543
54.0 IPS |
|
|
Face Detection (Q)
|
95% |
10255
122.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
4779
36.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4689
36.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
11060
101.3 IPS |
|
|
Style Transfer (SP)
|
89% |
11987
15.6 IPS |
|
|
Style Transfer (HP)
|
89% |
11863
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
25889
33.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2463
91.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2492
92.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6923
256.5 IPS |
|
|
Text Classification (SP)
|
100% |
1005
1.34 KIPS |
|
|
Text Classification (HP)
|
99% |
1007
1.34 KIPS |
|
|
Text Classification (Q)
|
88% |
1085
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1422
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1392
24.0 IPS |
|
|
Machine Translation (Q)
|
50% |
582
20.6 IPS |
