Samsung Galaxy S25
Geekbench AI Score
501
Single Precision Score
26503
Half Precision Score
59202
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 11 2025 03:03 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
425
79.1 IPS |
|
|
Image Classification (HP)
|
100% |
21030
3.91 KIPS |
|
|
Image Classification (Q)
|
97% |
49393
9.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
562
9.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
13138
213.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
38831
631.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
486
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
123053
143.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
476109
557.3 IPS |
|
|
Object Detection (SP)
|
100% |
289
22.9 IPS |
|
|
Object Detection (HP)
|
100% |
17888
1.42 KIPS |
|
|
Object Detection (Q)
|
85% |
20469
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
567
6.74 IPS |
|
|
Face Detection (HP)
|
100% |
37639
447.2 IPS |
|
|
Face Detection (Q)
|
97% |
131772
1.57 KIPS |
|
|
Depth Estimation (SP)
|
100% |
617
4.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
83159
640.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
141498
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
1103
1.42 IPS |
|
|
Style Transfer (HP)
|
98% |
98319
126.8 IPS |
|
|
Style Transfer (Q)
|
98% |
489093
630.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
291
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53034
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
134201
4.97 KIPS |
|
|
Text Classification (SP)
|
100% |
394
526.2 IPS |
|
|
Text Classification (HP)
|
100% |
3888
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
7873
10.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
683
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4432
76.3 IPS |
|
|
Machine Translation (Q)
|
56% |
2937
75.7 IPS |
