Samsung Galaxy S25
Geekbench AI Score
507
Single Precision Score
501
Half Precision Score
1048
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | February 20 2026 12:25 PM |
| Views | 1 |
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-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 | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
402
74.7 IPS |
|
|
Image Classification (HP)
|
100% |
353
65.7 IPS |
|
|
Image Classification (Q)
|
99% |
868
161.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
399
6.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
429
6.96 IPS |
|
|
Image Segmentation (Q)
|
98% |
822
13.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
564
0.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
541
0.63 IPS |
|
|
Pose Estimation (Q)
|
98% |
1962
2.30 IPS |
|
|
Object Detection (SP)
|
100% |
303
24.0 IPS |
|
|
Object Detection (HP)
|
100% |
303
24.1 IPS |
|
|
Object Detection (Q)
|
87% |
751
60.3 IPS |
|
|
Face Detection (SP)
|
100% |
789
9.37 IPS |
|
|
Face Detection (HP)
|
100% |
790
9.38 IPS |
|
|
Face Detection (Q)
|
97% |
1562
18.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
657
5.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
612
4.72 IPS |
|
|
Depth Estimation (Q)
|
64% |
1268
11.5 IPS |
|
|
Style Transfer (SP)
|
100% |
1016
1.31 IPS |
|
|
Style Transfer (HP)
|
100% |
928
1.19 IPS |
|
|
Style Transfer (Q)
|
98% |
2679
3.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
291
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
289
10.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1022
37.9 IPS |
|
|
Text Classification (SP)
|
100% |
372
496.7 IPS |
|
|
Text Classification (HP)
|
100% |
434
578.6 IPS |
|
|
Text Classification (Q)
|
91% |
670
900.7 IPS |
|
|
Machine Translation (SP)
|
100% |
724
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (Q)
|
57% |
420
10.3 IPS |
