Samsung Galaxy S25 Ultra
Geekbench AI Score
2774
Single Precision Score
2740
Half Precision Score
4685
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 22 2025 06:46 PM |
| Views | 1 |
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% |
2024
376.4 IPS |
|
|
Image Classification (HP)
|
100% |
2080
386.8 IPS |
|
|
Image Classification (Q)
|
100% |
4427
823.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2326
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2366
38.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5148
83.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5444
6.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
5173
6.04 IPS |
|
|
Pose Estimation (Q)
|
84% |
13337
15.8 IPS |
|
|
Object Detection (SP)
|
98% |
1677
133.5 IPS |
|
|
Object Detection (HP)
|
98% |
1697
135.0 IPS |
|
|
Object Detection (Q)
|
83% |
3863
312.1 IPS |
|
|
Face Detection (SP)
|
100% |
4357
51.8 IPS |
|
|
Face Detection (HP)
|
100% |
4366
51.9 IPS |
|
|
Face Detection (Q)
|
95% |
9668
115.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
4560
35.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4547
35.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
10401
95.3 IPS |
|
|
Style Transfer (SP)
|
89% |
11244
14.6 IPS |
|
|
Style Transfer (HP)
|
89% |
11138
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
24578
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2316
85.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2293
84.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4834
179.1 IPS |
|
|
Text Classification (SP)
|
100% |
902
1.20 KIPS |
|
|
Text Classification (HP)
|
99% |
808
1.08 KIPS |
|
|
Text Classification (Q)
|
88% |
643
867.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1346
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1349
23.2 IPS |
|
|
Machine Translation (Q)
|
50% |
565
20.1 IPS |
