Samsung Galaxy S25 Ultra
Geekbench AI Score
546
Single Precision Score
551
Half Precision Score
1143
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | kasid |
| Upload Date | September 24 2025 05:47 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
433
80.4 IPS |
|
|
Image Classification (HP)
|
100% |
425
79.1 IPS |
|
|
Image Classification (Q)
|
99% |
1001
186.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
538
8.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
538
8.73 IPS |
|
|
Image Segmentation (Q)
|
98% |
1057
17.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
704
0.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
548
0.64 IPS |
|
|
Pose Estimation (Q)
|
98% |
2011
2.35 IPS |
|
|
Object Detection (SP)
|
100% |
212
16.8 IPS |
|
|
Object Detection (HP)
|
100% |
243
19.2 IPS |
|
|
Object Detection (Q)
|
87% |
631
50.6 IPS |
|
|
Face Detection (SP)
|
100% |
758
9.01 IPS |
|
|
Face Detection (HP)
|
100% |
804
9.55 IPS |
|
|
Face Detection (Q)
|
97% |
1800
21.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
701
5.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
680
5.24 IPS |
|
|
Depth Estimation (Q)
|
64% |
1358
12.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1348
1.73 IPS |
|
|
Style Transfer (HP)
|
100% |
1181
1.52 IPS |
|
|
Style Transfer (Q)
|
98% |
2362
3.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
288
10.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
338
12.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1200
44.5 IPS |
|
|
Text Classification (SP)
|
100% |
434
579.1 IPS |
|
|
Text Classification (HP)
|
100% |
466
621.8 IPS |
|
|
Text Classification (Q)
|
91% |
717
964.1 IPS |
|
|
Machine Translation (SP)
|
100% |
770
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
841
14.5 IPS |
|
|
Machine Translation (Q)
|
57% |
574
14.0 IPS |
