Samsung Galaxy S25 Ultra
Geekbench AI Score
1421
Single Precision Score
1333
Half Precision Score
2312
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 01 2026 03:36 PM |
| Views | 5 |
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% |
1897
352.7 IPS |
|
|
Image Classification (HP)
|
100% |
1728
321.3 IPS |
|
|
Image Classification (Q)
|
100% |
3798
706.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2086
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2081
33.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4252
69.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3624
4.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
2467
2.88 IPS |
|
|
Pose Estimation (Q)
|
84% |
5354
6.35 IPS |
|
|
Object Detection (SP)
|
98% |
700
55.7 IPS |
|
|
Object Detection (HP)
|
98% |
711
56.6 IPS |
|
|
Object Detection (Q)
|
83% |
1598
129.1 IPS |
|
|
Face Detection (SP)
|
100% |
1781
21.2 IPS |
|
|
Face Detection (HP)
|
100% |
1804
21.4 IPS |
|
|
Face Detection (Q)
|
95% |
3667
43.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1881
14.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1805
14.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3169
29.0 IPS |
|
|
Style Transfer (SP)
|
89% |
4615
5.99 IPS |
|
|
Style Transfer (HP)
|
89% |
4907
6.37 IPS |
|
|
Style Transfer (Q)
|
98% |
9400
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
938
34.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
918
33.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2805
104.0 IPS |
|
|
Text Classification (SP)
|
100% |
326
435.8 IPS |
|
|
Text Classification (HP)
|
99% |
277
369.7 IPS |
|
|
Text Classification (Q)
|
88% |
362
488.5 IPS |
|
|
Machine Translation (SP)
|
100% |
711
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
694
12.0 IPS |
|
|
Machine Translation (Q)
|
50% |
285
10.1 IPS |
