Samsung Galaxy S25
Geekbench AI Score
2319
Single Precision Score
2440
Half Precision Score
3382
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Zerogreat |
| Upload Date | July 16 2025 01:09 PM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1921
357.3 IPS |
|
|
Image Classification (HP)
|
100% |
1989
369.8 IPS |
|
|
Image Classification (Q)
|
100% |
4239
788.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2409
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2243
36.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1545
25.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5137
5.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
3884
4.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
9763
11.6 IPS |
|
|
Object Detection (SP)
|
98% |
659
52.5 IPS |
|
|
Object Detection (HP)
|
98% |
1440
114.6 IPS |
|
|
Object Detection (Q)
|
83% |
2764
223.3 IPS |
|
|
Face Detection (SP)
|
100% |
4324
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
4180
49.7 IPS |
|
|
Face Detection (Q)
|
95% |
8852
105.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
4448
34.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3926
30.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3876
35.5 IPS |
|
|
Style Transfer (SP)
|
89% |
10650
13.8 IPS |
|
|
Style Transfer (HP)
|
89% |
11424
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
22798
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1433
52.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1652
61.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4277
158.5 IPS |
|
|
Text Classification (SP)
|
100% |
738
984.9 IPS |
|
|
Text Classification (HP)
|
99% |
752
1.00 KIPS |
|
|
Text Classification (Q)
|
88% |
850
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1328
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1289
22.2 IPS |
|
|
Machine Translation (Q)
|
50% |
390
13.8 IPS |
