Samsung Galaxy S25 Ultra
Geekbench AI Score
2079
Single Precision Score
2148
Half Precision Score
3498
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 10 2026 02:58 AM |
| 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-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% |
1339
249.1 IPS |
|
|
Image Classification (HP)
|
100% |
1815
337.5 IPS |
|
|
Image Classification (Q)
|
100% |
4333
805.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2206
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2255
36.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5119
83.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4848
5.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
4777
5.57 IPS |
|
|
Pose Estimation (Q)
|
84% |
6609
7.84 IPS |
|
|
Object Detection (SP)
|
98% |
663
52.7 IPS |
|
|
Object Detection (HP)
|
98% |
815
64.9 IPS |
|
|
Object Detection (Q)
|
83% |
2758
222.8 IPS |
|
|
Face Detection (SP)
|
100% |
3689
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
3826
45.5 IPS |
|
|
Face Detection (Q)
|
95% |
8235
98.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3895
30.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3795
29.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
8199
75.1 IPS |
|
|
Style Transfer (SP)
|
89% |
9685
12.6 IPS |
|
|
Style Transfer (HP)
|
89% |
8517
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
15288
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1607
59.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1691
62.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4218
156.3 IPS |
|
|
Text Classification (SP)
|
100% |
741
989.7 IPS |
|
|
Text Classification (HP)
|
99% |
631
842.3 IPS |
|
|
Text Classification (Q)
|
88% |
519
700.4 IPS |
|
|
Machine Translation (SP)
|
100% |
959
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
998
17.2 IPS |
|
|
Machine Translation (Q)
|
50% |
301
10.7 IPS |
