Samsung Galaxy S25
Geekbench AI Score
717
Single Precision Score
28780
Half Precision Score
71800
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | February 13 2026 04:18 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S25 |
| Model ID | samsung SM-S931B |
| 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% |
457
84.9 IPS |
|
|
Image Classification (HP)
|
100% |
21055
3.92 KIPS |
|
|
Image Classification (Q)
|
96% |
50941
9.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
583
9.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
13711
222.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
53130
863.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
726
0.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
121304
141.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
483374
565.8 IPS |
|
|
Object Detection (SP)
|
100% |
363
28.8 IPS |
|
|
Object Detection (HP)
|
100% |
20660
1.64 KIPS |
|
|
Object Detection (Q)
|
85% |
31598
2.54 KIPS |
|
|
Face Detection (SP)
|
100% |
1089
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
41385
491.7 IPS |
|
|
Face Detection (Q)
|
97% |
147652
1.76 KIPS |
|
|
Depth Estimation (SP)
|
100% |
934
7.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
84066
647.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
179673
1.67 KIPS |
|
|
Style Transfer (SP)
|
100% |
1592
2.05 IPS |
|
|
Style Transfer (HP)
|
100% |
93081
119.7 IPS |
|
|
Style Transfer (Q)
|
98% |
485691
626.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
498
18.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55468
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
136818
5.07 KIPS |
|
|
Text Classification (SP)
|
100% |
621
828.6 IPS |
|
|
Text Classification (HP)
|
100% |
4467
5.96 KIPS |
|
|
Text Classification (Q)
|
93% |
12169
16.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
1028
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6718
115.7 IPS |
|
|
Machine Translation (Q)
|
56% |
4106
105.8 IPS |
