Samsung Galaxy S25+
Geekbench AI Score
529
Single Precision Score
500
Half Precision Score
1097
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 15 2025 10:40 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
430
80.0 IPS |
|
|
Image Classification (HP)
|
100% |
422
78.4 IPS |
|
|
Image Classification (Q)
|
99% |
1078
201.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
547
8.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
549
8.90 IPS |
|
|
Image Segmentation (Q)
|
98% |
1111
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
723
0.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
513
0.60 IPS |
|
|
Pose Estimation (Q)
|
98% |
1978
2.32 IPS |
|
|
Object Detection (SP)
|
100% |
284
22.6 IPS |
|
|
Object Detection (HP)
|
100% |
284
22.6 IPS |
|
|
Object Detection (Q)
|
87% |
755
60.6 IPS |
|
|
Face Detection (SP)
|
100% |
645
7.66 IPS |
|
|
Face Detection (HP)
|
100% |
650
7.72 IPS |
|
|
Face Detection (Q)
|
97% |
1423
17.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
610
4.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
560
4.31 IPS |
|
|
Depth Estimation (Q)
|
64% |
1222
11.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1096
1.41 IPS |
|
|
Style Transfer (HP)
|
100% |
895
1.15 IPS |
|
|
Style Transfer (Q)
|
98% |
2311
2.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
289
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
289
10.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1107
41.0 IPS |
|
|
Text Classification (SP)
|
100% |
400
533.9 IPS |
|
|
Text Classification (HP)
|
100% |
400
534.3 IPS |
|
|
Text Classification (Q)
|
91% |
616
827.5 IPS |
|
|
Machine Translation (SP)
|
100% |
723
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
769
13.3 IPS |
|
|
Machine Translation (Q)
|
57% |
515
12.6 IPS |
