Samsung Galaxy S25 Ultra
Geekbench AI Score
2316
Single Precision Score
2294
Half Precision Score
4249
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 22 2025 09:24 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S25 Ultra |
| Model ID | samsung SM-S938B |
| 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 | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1607
298.9 IPS |
|
|
Image Classification (HP)
|
100% |
1600
297.5 IPS |
|
|
Image Classification (Q)
|
100% |
4030
749.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1992
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1931
31.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4680
76.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5151
6.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
4464
5.21 IPS |
|
|
Pose Estimation (Q)
|
84% |
11075
13.1 IPS |
|
|
Object Detection (SP)
|
98% |
1218
97.0 IPS |
|
|
Object Detection (HP)
|
98% |
1181
93.9 IPS |
|
|
Object Detection (Q)
|
83% |
2592
209.4 IPS |
|
|
Face Detection (SP)
|
100% |
3647
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
3841
45.6 IPS |
|
|
Face Detection (Q)
|
95% |
8609
102.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3879
30.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3519
27.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
8683
79.5 IPS |
|
|
Style Transfer (SP)
|
89% |
8935
11.6 IPS |
|
|
Style Transfer (HP)
|
89% |
8490
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
18856
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1782
65.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1958
72.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5308
196.7 IPS |
|
|
Text Classification (SP)
|
100% |
758
1.01 KIPS |
|
|
Text Classification (HP)
|
99% |
830
1.11 KIPS |
|
|
Text Classification (Q)
|
88% |
968
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1300
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1333
23.0 IPS |
|
|
Machine Translation (Q)
|
50% |
490
17.4 IPS |
