Samsung Galaxy S25 Ultra
Geekbench AI Score
2786
Single Precision Score
2767
Half Precision Score
4918
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | fang1121cs |
| Upload Date | January 08 2026 12:36 PM |
| Views | 7 |
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-S9380 |
| 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% |
2042
379.8 IPS |
|
|
Image Classification (HP)
|
100% |
2006
373.1 IPS |
|
|
Image Classification (Q)
|
100% |
4272
794.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2351
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2351
38.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5091
82.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5273
6.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
5076
5.92 IPS |
|
|
Pose Estimation (Q)
|
84% |
12537
14.9 IPS |
|
|
Object Detection (SP)
|
98% |
1674
133.2 IPS |
|
|
Object Detection (HP)
|
98% |
1706
135.8 IPS |
|
|
Object Detection (Q)
|
83% |
3842
310.4 IPS |
|
|
Face Detection (SP)
|
100% |
4428
52.6 IPS |
|
|
Face Detection (HP)
|
100% |
4419
52.5 IPS |
|
|
Face Detection (Q)
|
95% |
9327
111.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
4689
36.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4579
35.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
9890
90.6 IPS |
|
|
Style Transfer (SP)
|
89% |
11124
14.4 IPS |
|
|
Style Transfer (HP)
|
89% |
11200
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
23436
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2266
83.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2260
83.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6306
233.7 IPS |
|
|
Text Classification (SP)
|
100% |
943
1.26 KIPS |
|
|
Text Classification (HP)
|
99% |
932
1.24 KIPS |
|
|
Text Classification (Q)
|
88% |
1032
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1349
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1351
23.3 IPS |
|
|
Machine Translation (Q)
|
50% |
562
19.9 IPS |
