Samsung Galaxy S25 Ultra
Geekbench AI Score
1064
Single Precision Score
1605
Half Precision Score
1458
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 01 2026 03:39 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
352
65.5 IPS |
|
|
Image Classification (HP)
|
100% |
627
116.5 IPS |
|
|
Image Classification (Q)
|
100% |
816
151.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1042
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2036
33.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1665
27.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3721
4.34 IPS |
|
|
Pose Estimation (HP)
|
99% |
7666
8.95 IPS |
|
|
Pose Estimation (Q)
|
95% |
8656
10.1 IPS |
|
|
Object Detection (SP)
|
100% |
615
48.8 IPS |
|
|
Object Detection (HP)
|
99% |
860
68.2 IPS |
|
|
Object Detection (Q)
|
85% |
875
70.4 IPS |
|
|
Face Detection (SP)
|
100% |
2771
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
2343
27.8 IPS |
|
|
Face Detection (Q)
|
97% |
3862
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2769
21.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
3443
26.6 IPS |
|
|
Depth Estimation (Q)
|
61% |
2874
28.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6794
8.73 IPS |
|
|
Style Transfer (HP)
|
100% |
17285
22.2 IPS |
|
|
Style Transfer (Q)
|
98% |
12502
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1887
69.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2397
88.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2376
88.1 IPS |
|
|
Text Classification (SP)
|
35% |
35
344.2 IPS |
|
|
Text Classification (HP)
|
35% |
38
345.7 IPS |
|
|
Text Classification (Q)
|
33% |
30
337.5 IPS |
|
|
Machine Translation (SP)
|
100% |
644
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1066
18.4 IPS |
|
|
Machine Translation (Q)
|
48% |
429
16.5 IPS |
