Samsung Galaxy S25
Geekbench AI Score
2065
Single Precision Score
2229
Half Precision Score
3127
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 03 2025 04:39 PM |
| Views | 4 |
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% |
1985
369.1 IPS |
|
|
Image Classification (HP)
|
100% |
2115
393.3 IPS |
|
|
Image Classification (Q)
|
100% |
4350
809.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2572
41.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2452
39.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3260
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2519
2.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
4393
5.13 IPS |
|
|
Pose Estimation (Q)
|
84% |
8528
10.1 IPS |
|
|
Object Detection (SP)
|
98% |
984
78.3 IPS |
|
|
Object Detection (HP)
|
98% |
1100
87.5 IPS |
|
|
Object Detection (Q)
|
83% |
2065
166.8 IPS |
|
|
Face Detection (SP)
|
100% |
3554
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
3511
41.7 IPS |
|
|
Face Detection (Q)
|
95% |
6649
79.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3745
28.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3820
29.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
7775
71.2 IPS |
|
|
Style Transfer (SP)
|
89% |
8502
11.0 IPS |
|
|
Style Transfer (HP)
|
89% |
8474
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
15046
19.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1296
47.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1540
56.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3882
143.8 IPS |
|
|
Text Classification (SP)
|
100% |
616
822.9 IPS |
|
|
Text Classification (HP)
|
99% |
626
835.8 IPS |
|
|
Text Classification (Q)
|
88% |
345
465.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1236
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1106
19.1 IPS |
|
|
Machine Translation (Q)
|
50% |
344
12.2 IPS |
