Samsung Galaxy S25 Ultra
Geekbench AI Score
2448
Single Precision Score
2348
Half Precision Score
4190
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | ___ |
| Upload Date | July 11 2025 04:05 AM |
| 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-S938Q |
| 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% |
1858
345.4 IPS |
|
|
Image Classification (HP)
|
100% |
1915
356.1 IPS |
|
|
Image Classification (Q)
|
100% |
4121
766.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2339
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2250
36.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5214
84.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5229
6.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
5010
5.85 IPS |
|
|
Pose Estimation (Q)
|
84% |
12381
14.7 IPS |
|
|
Object Detection (SP)
|
98% |
1594
126.9 IPS |
|
|
Object Detection (HP)
|
98% |
1587
126.3 IPS |
|
|
Object Detection (Q)
|
83% |
3625
292.8 IPS |
|
|
Face Detection (SP)
|
100% |
4087
48.6 IPS |
|
|
Face Detection (HP)
|
100% |
3963
47.1 IPS |
|
|
Face Detection (Q)
|
95% |
8207
98.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
4084
31.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4188
32.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
9483
86.9 IPS |
|
|
Style Transfer (SP)
|
89% |
10888
14.1 IPS |
|
|
Style Transfer (HP)
|
89% |
8517
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
20062
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1576
58.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1612
59.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4239
157.1 IPS |
|
|
Text Classification (SP)
|
100% |
591
789.5 IPS |
|
|
Text Classification (HP)
|
99% |
521
694.8 IPS |
|
|
Text Classification (Q)
|
88% |
561
756.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1264
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1254
21.6 IPS |
|
|
Machine Translation (Q)
|
50% |
466
16.5 IPS |
