Samsung Galaxy S25
Geekbench AI Score
2604
Single Precision Score
3847
Half Precision Score
5028
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | February 20 2026 12:09 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1527
284.0 IPS |
|
|
Image Classification (HP)
|
100% |
2051
381.4 IPS |
|
|
Image Classification (Q)
|
99% |
4254
793.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1793
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2562
41.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3879
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5532
6.46 IPS |
|
|
Pose Estimation (HP)
|
92% |
11209
13.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
14017
16.4 IPS |
|
|
Object Detection (SP)
|
98% |
1685
134.1 IPS |
|
|
Object Detection (HP)
|
97% |
2258
179.7 IPS |
|
|
Object Detection (Q)
|
85% |
4063
327.3 IPS |
|
|
Face Detection (SP)
|
100% |
4224
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
6798
80.8 IPS |
|
|
Face Detection (Q)
|
97% |
9263
110.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3624
28.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
7639
59.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
8655
79.9 IPS |
|
|
Style Transfer (SP)
|
89% |
11623
15.1 IPS |
|
|
Style Transfer (HP)
|
88% |
13471
17.5 IPS |
|
|
Style Transfer (Q)
|
98% |
25966
33.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2404
88.8 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
4616
171.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6890
255.3 IPS |
|
|
Text Classification (SP)
|
100% |
941
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
1186
1.58 KIPS |
|
|
Text Classification (Q)
|
93% |
986
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1397
24.1 IPS |
|
|
Machine Translation (HP)
|
96% |
1397
24.2 IPS |
|
|
Machine Translation (Q)
|
55% |
778
20.9 IPS |
