Samsung Galaxy S25 Ultra
Geekbench AI Score
2402
Single Precision Score
2295
Half Precision Score
3800
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 30 2025 04:00 PM |
| Views | 4 |
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% |
1986
369.4 IPS |
|
|
Image Classification (HP)
|
100% |
1995
370.9 IPS |
|
|
Image Classification (Q)
|
100% |
4450
827.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2361
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2332
37.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3966
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5005
5.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
4302
5.02 IPS |
|
|
Pose Estimation (Q)
|
84% |
8016
9.51 IPS |
|
|
Object Detection (SP)
|
98% |
968
77.1 IPS |
|
|
Object Detection (HP)
|
98% |
1028
81.8 IPS |
|
|
Object Detection (Q)
|
83% |
2601
210.1 IPS |
|
|
Face Detection (SP)
|
100% |
3674
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
3852
45.8 IPS |
|
|
Face Detection (Q)
|
95% |
7403
88.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
4290
33.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4372
33.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
9953
91.2 IPS |
|
|
Style Transfer (SP)
|
89% |
10625
13.8 IPS |
|
|
Style Transfer (HP)
|
89% |
10552
13.7 IPS |
|
|
Style Transfer (Q)
|
98% |
21306
27.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1619
59.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1447
53.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3214
119.1 IPS |
|
|
Text Classification (SP)
|
100% |
792
1.06 KIPS |
|
|
Text Classification (HP)
|
99% |
590
787.7 IPS |
|
|
Text Classification (Q)
|
88% |
641
864.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1316
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1300
22.4 IPS |
|
|
Machine Translation (Q)
|
50% |
528
18.8 IPS |
