Samsung Galaxy S25
Geekbench AI Score
569
Single Precision Score
556
Half Precision Score
1186
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | AllieWolfie |
| Upload Date | August 14 2025 08:51 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
414
77.1 IPS |
|
|
Image Classification (HP)
|
100% |
417
77.6 IPS |
|
|
Image Classification (Q)
|
99% |
1041
194.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
504
8.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
516
8.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
1081
17.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
622
0.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
565
0.66 IPS |
|
|
Pose Estimation (Q)
|
98% |
2150
2.52 IPS |
|
|
Object Detection (SP)
|
100% |
334
26.5 IPS |
|
|
Object Detection (HP)
|
100% |
334
26.5 IPS |
|
|
Object Detection (Q)
|
87% |
780
62.6 IPS |
|
|
Face Detection (SP)
|
100% |
785
9.33 IPS |
|
|
Face Detection (HP)
|
100% |
790
9.38 IPS |
|
|
Face Detection (Q)
|
97% |
1781
21.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
695
5.36 IPS |
|
|
Depth Estimation (HP)
|
99% |
613
4.72 IPS |
|
|
Depth Estimation (Q)
|
64% |
1359
12.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1229
1.58 IPS |
|
|
Style Transfer (HP)
|
100% |
1097
1.41 IPS |
|
|
Style Transfer (Q)
|
98% |
2971
3.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
339
12.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
339
12.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1202
44.6 IPS |
|
|
Text Classification (SP)
|
100% |
435
580.2 IPS |
|
|
Text Classification (HP)
|
100% |
435
580.1 IPS |
|
|
Text Classification (Q)
|
91% |
775
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
838
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
891
15.3 IPS |
|
|
Machine Translation (Q)
|
57% |
438
10.7 IPS |
