Samsung Galaxy S25 Ultra
Geekbench AI Score
508
Single Precision Score
496
Half Precision Score
1066
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | bassiek |
| Upload Date | June 30 2025 11:23 PM |
| Views | 7 |
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% |
428
79.6 IPS |
|
|
Image Classification (HP)
|
100% |
423
78.7 IPS |
|
|
Image Classification (Q)
|
99% |
1086
202.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
548
8.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
489
7.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
939
15.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
564
0.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
500
0.58 IPS |
|
|
Pose Estimation (Q)
|
98% |
1823
2.13 IPS |
|
|
Object Detection (SP)
|
100% |
279
22.1 IPS |
|
|
Object Detection (HP)
|
100% |
280
22.2 IPS |
|
|
Object Detection (Q)
|
87% |
761
61.1 IPS |
|
|
Face Detection (SP)
|
100% |
736
8.74 IPS |
|
|
Face Detection (HP)
|
100% |
687
8.17 IPS |
|
|
Face Detection (Q)
|
97% |
1557
18.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
555
4.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
557
4.29 IPS |
|
|
Depth Estimation (Q)
|
64% |
1206
10.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1089
1.40 IPS |
|
|
Style Transfer (HP)
|
100% |
996
1.28 IPS |
|
|
Style Transfer (Q)
|
98% |
2319
2.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
244
9.02 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
288
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1105
41.0 IPS |
|
|
Text Classification (SP)
|
100% |
399
532.8 IPS |
|
|
Text Classification (HP)
|
100% |
399
532.6 IPS |
|
|
Text Classification (Q)
|
91% |
616
827.3 IPS |
|
|
Machine Translation (SP)
|
100% |
718
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
725
12.5 IPS |
|
|
Machine Translation (Q)
|
57% |
455
11.1 IPS |
