Samsung Galaxy S25
Geekbench AI Score
2518
Single Precision Score
2590
Half Precision Score
3621
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 11 2025 11:43 PM |
| Views | 1 |
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-S931U1 |
| 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% |
2112
392.8 IPS |
|
|
Image Classification (HP)
|
100% |
2054
381.9 IPS |
|
|
Image Classification (Q)
|
100% |
4348
808.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2392
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2461
39.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5404
87.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5440
6.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
4076
4.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
8039
9.53 IPS |
|
|
Object Detection (SP)
|
98% |
1547
123.1 IPS |
|
|
Object Detection (HP)
|
98% |
1608
128.0 IPS |
|
|
Object Detection (Q)
|
83% |
3283
265.2 IPS |
|
|
Face Detection (SP)
|
100% |
4074
48.4 IPS |
|
|
Face Detection (HP)
|
100% |
4340
51.6 IPS |
|
|
Face Detection (Q)
|
95% |
8790
104.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3026
23.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4316
33.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
8895
81.5 IPS |
|
|
Style Transfer (SP)
|
89% |
10297
13.4 IPS |
|
|
Style Transfer (HP)
|
89% |
9303
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
14759
19.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1756
64.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2005
74.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4756
176.2 IPS |
|
|
Text Classification (SP)
|
100% |
793
1.06 KIPS |
|
|
Text Classification (HP)
|
99% |
908
1.21 KIPS |
|
|
Text Classification (Q)
|
88% |
275
370.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1368
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1295
22.3 IPS |
|
|
Machine Translation (Q)
|
50% |
415
14.7 IPS |
