Samsung Galaxy S25
Geekbench AI Score
2518
Single Precision Score
4023
Half Precision Score
3220
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 18 2025 08:28 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1737
323.1 IPS |
|
|
Image Classification (HP)
|
100% |
3491
649.2 IPS |
|
|
Image Classification (Q)
|
100% |
2828
525.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3126
50.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5637
91.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4772
77.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13737
16.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
24573
28.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
20450
24.0 IPS |
|
|
Object Detection (SP)
|
100% |
1335
105.9 IPS |
|
|
Object Detection (HP)
|
99% |
1756
139.3 IPS |
|
|
Object Detection (Q)
|
85% |
1749
140.8 IPS |
|
|
Face Detection (SP)
|
100% |
5171
61.4 IPS |
|
|
Face Detection (HP)
|
100% |
8541
101.5 IPS |
|
|
Face Detection (Q)
|
97% |
7025
83.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6027
46.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
8749
67.6 IPS |
|
|
Depth Estimation (Q)
|
61% |
6497
63.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14551
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32564
41.9 IPS |
|
|
Style Transfer (Q)
|
98% |
31989
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3277
121.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4985
184.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5057
187.4 IPS |
|
|
Text Classification (SP)
|
35% |
76
740.9 IPS |
|
|
Text Classification (HP)
|
35% |
77
698.7 IPS |
|
|
Text Classification (Q)
|
33% |
63
704.3 IPS |
|
|
Machine Translation (SP)
|
100% |
912
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1401
24.1 IPS |
|
|
Machine Translation (Q)
|
48% |
535
20.5 IPS |
