Samsung Galaxy S25 Ultra
Geekbench AI Score
2815
Single Precision Score
2828
Half Precision Score
5119
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 20 2025 07:55 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S25 Ultra |
| Model ID | samsung SM-S938N |
| 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% |
1999
371.7 IPS |
|
|
Image Classification (HP)
|
100% |
2041
379.5 IPS |
|
|
Image Classification (Q)
|
100% |
4506
838.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2307
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2398
38.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5211
84.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5371
6.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
5243
6.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
12987
15.4 IPS |
|
|
Object Detection (SP)
|
98% |
1681
133.8 IPS |
|
|
Object Detection (HP)
|
98% |
1756
139.8 IPS |
|
|
Object Detection (Q)
|
83% |
4053
327.4 IPS |
|
|
Face Detection (SP)
|
100% |
4391
52.2 IPS |
|
|
Face Detection (HP)
|
100% |
4449
52.9 IPS |
|
|
Face Detection (Q)
|
95% |
9656
115.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
4581
35.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4568
35.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
10587
97.0 IPS |
|
|
Style Transfer (SP)
|
89% |
11468
14.9 IPS |
|
|
Style Transfer (HP)
|
89% |
11348
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
24657
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2380
87.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2425
89.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6721
249.1 IPS |
|
|
Text Classification (SP)
|
100% |
993
1.33 KIPS |
|
|
Text Classification (HP)
|
99% |
960
1.28 KIPS |
|
|
Text Classification (Q)
|
88% |
1049
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1378
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1356
23.4 IPS |
|
|
Machine Translation (Q)
|
50% |
563
20.0 IPS |
