Samsung Galaxy S25
Geekbench AI Score
2756
Single Precision Score
2845
Half Precision Score
5154
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 16 2026 09:05 AM |
| Views | 10 |
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-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% |
2043
379.9 IPS |
|
|
Image Classification (HP)
|
100% |
1962
364.9 IPS |
|
|
Image Classification (Q)
|
100% |
4380
814.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1686
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2454
39.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5202
84.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5841
6.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
5569
6.50 IPS |
|
|
Pose Estimation (Q)
|
84% |
14066
16.7 IPS |
|
|
Object Detection (SP)
|
98% |
1705
135.7 IPS |
|
|
Object Detection (HP)
|
98% |
1745
138.8 IPS |
|
|
Object Detection (Q)
|
83% |
4010
323.9 IPS |
|
|
Face Detection (SP)
|
100% |
4542
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
4627
55.0 IPS |
|
|
Face Detection (Q)
|
95% |
9594
114.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
4712
36.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4732
36.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
11081
101.5 IPS |
|
|
Style Transfer (SP)
|
89% |
11615
15.1 IPS |
|
|
Style Transfer (HP)
|
89% |
11684
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
25816
33.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2308
85.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2524
93.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6691
247.9 IPS |
|
|
Text Classification (SP)
|
100% |
967
1.29 KIPS |
|
|
Text Classification (HP)
|
99% |
993
1.33 KIPS |
|
|
Text Classification (Q)
|
88% |
997
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1332
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1162
20.0 IPS |
|
|
Machine Translation (Q)
|
50% |
563
20.0 IPS |
