Samsung Galaxy S25+
Geekbench AI Score
2914
Single Precision Score
2929
Half Precision Score
5336
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 24 2025 03:28 PM |
| Views | 2 |
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-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 | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2004
372.6 IPS |
|
|
Image Classification (HP)
|
100% |
2125
395.1 IPS |
|
|
Image Classification (Q)
|
100% |
4655
865.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2543
41.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2553
41.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5574
90.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5722
6.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
5534
6.46 IPS |
|
|
Pose Estimation (Q)
|
84% |
14106
16.7 IPS |
|
|
Object Detection (SP)
|
98% |
1787
142.2 IPS |
|
|
Object Detection (HP)
|
98% |
1831
145.7 IPS |
|
|
Object Detection (Q)
|
83% |
4154
335.5 IPS |
|
|
Face Detection (SP)
|
100% |
4563
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
4503
53.5 IPS |
|
|
Face Detection (Q)
|
95% |
10209
121.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4782
37.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4790
37.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
11120
101.9 IPS |
|
|
Style Transfer (SP)
|
89% |
12138
15.8 IPS |
|
|
Style Transfer (HP)
|
89% |
12055
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
26620
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2258
83.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2326
85.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6907
255.9 IPS |
|
|
Text Classification (SP)
|
100% |
995
1.33 KIPS |
|
|
Text Classification (HP)
|
99% |
1009
1.35 KIPS |
|
|
Text Classification (Q)
|
88% |
1108
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1426
24.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1386
23.9 IPS |
|
|
Machine Translation (Q)
|
50% |
533
18.9 IPS |
