Samsung Galaxy S25
Geekbench AI Score
541
Single Precision Score
536
Half Precision Score
1084
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 23 2025 09:28 AM |
| Views | 2 |
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-S931N |
| 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% |
427
79.4 IPS |
|
|
Image Classification (HP)
|
100% |
415
77.2 IPS |
|
|
Image Classification (Q)
|
99% |
641
119.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
401
6.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
401
6.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
716
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
529
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
525
0.61 IPS |
|
|
Pose Estimation (Q)
|
98% |
2116
2.48 IPS |
|
|
Object Detection (SP)
|
100% |
303
24.0 IPS |
|
|
Object Detection (HP)
|
100% |
302
24.0 IPS |
|
|
Object Detection (Q)
|
87% |
813
65.2 IPS |
|
|
Face Detection (SP)
|
100% |
792
9.41 IPS |
|
|
Face Detection (HP)
|
100% |
793
9.42 IPS |
|
|
Face Detection (Q)
|
97% |
1813
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
658
5.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
613
4.72 IPS |
|
|
Depth Estimation (Q)
|
64% |
1228
11.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1342
1.72 IPS |
|
|
Style Transfer (HP)
|
100% |
1101
1.42 IPS |
|
|
Style Transfer (Q)
|
98% |
2901
3.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
338
12.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
340
12.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1205
44.7 IPS |
|
|
Text Classification (SP)
|
100% |
436
581.7 IPS |
|
|
Text Classification (HP)
|
100% |
436
582.4 IPS |
|
|
Text Classification (Q)
|
91% |
671
902.6 IPS |
|
|
Machine Translation (SP)
|
100% |
771
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
941
16.2 IPS |
|
|
Machine Translation (Q)
|
57% |
546
13.3 IPS |
