Samsung Galaxy S25+
Geekbench AI Score
515
Single Precision Score
500
Half Precision Score
1067
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 31 2025 03:32 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
347
64.6 IPS |
|
|
Image Classification (HP)
|
100% |
352
65.5 IPS |
|
|
Image Classification (Q)
|
99% |
789
147.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
399
6.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
400
6.48 IPS |
|
|
Image Segmentation (Q)
|
98% |
752
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
546
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
502
0.59 IPS |
|
|
Pose Estimation (Q)
|
98% |
2083
2.44 IPS |
|
|
Object Detection (SP)
|
100% |
301
23.9 IPS |
|
|
Object Detection (HP)
|
100% |
299
23.8 IPS |
|
|
Object Detection (Q)
|
87% |
803
64.4 IPS |
|
|
Face Detection (SP)
|
100% |
744
8.84 IPS |
|
|
Face Detection (HP)
|
100% |
745
8.85 IPS |
|
|
Face Detection (Q)
|
97% |
1690
20.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
655
5.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
610
4.70 IPS |
|
|
Depth Estimation (Q)
|
64% |
1267
11.5 IPS |
|
|
Style Transfer (SP)
|
100% |
1163
1.50 IPS |
|
|
Style Transfer (HP)
|
100% |
1012
1.30 IPS |
|
|
Style Transfer (Q)
|
98% |
2692
3.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
338
12.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
336
12.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1108
41.0 IPS |
|
|
Text Classification (SP)
|
100% |
400
534.5 IPS |
|
|
Text Classification (HP)
|
100% |
400
533.6 IPS |
|
|
Text Classification (Q)
|
91% |
616
827.3 IPS |
|
|
Machine Translation (SP)
|
100% |
763
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
756
13.0 IPS |
|
|
Machine Translation (Q)
|
57% |
491
12.0 IPS |
