Samsung Galaxy S25 Ultra
Geekbench AI Score
1342
Single Precision Score
1378
Half Precision Score
2144
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 15 2025 12:13 PM |
| Views | 7 |
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-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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1789
332.7 IPS |
|
|
Image Classification (HP)
|
100% |
1721
320.0 IPS |
|
|
Image Classification (Q)
|
100% |
3919
728.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2218
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2136
34.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2770
45.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1728
2.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
2034
2.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
5393
6.40 IPS |
|
|
Object Detection (SP)
|
98% |
648
51.6 IPS |
|
|
Object Detection (HP)
|
98% |
707
56.2 IPS |
|
|
Object Detection (Q)
|
83% |
1424
115.0 IPS |
|
|
Face Detection (SP)
|
100% |
1767
21.0 IPS |
|
|
Face Detection (HP)
|
100% |
1923
22.9 IPS |
|
|
Face Detection (Q)
|
95% |
3939
47.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2079
16.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2024
15.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3438
31.5 IPS |
|
|
Style Transfer (SP)
|
89% |
4706
6.11 IPS |
|
|
Style Transfer (HP)
|
89% |
5055
6.56 IPS |
|
|
Style Transfer (Q)
|
98% |
9254
11.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
967
35.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1098
40.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2516
93.2 IPS |
|
|
Text Classification (SP)
|
100% |
316
421.3 IPS |
|
|
Text Classification (HP)
|
99% |
314
418.9 IPS |
|
|
Text Classification (Q)
|
88% |
324
437.0 IPS |
|
|
Machine Translation (SP)
|
100% |
810
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
692
11.9 IPS |
|
|
Machine Translation (Q)
|
50% |
241
8.56 IPS |
