Samsung Galaxy S25 Ultra
Geekbench AI Score
489
Single Precision Score
451
Half Precision Score
940
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 27 2025 02:37 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S25 Ultra |
| Model ID | samsung SM-S938U1 |
| 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% |
425
79.0 IPS |
|
|
Image Classification (HP)
|
100% |
426
79.3 IPS |
|
|
Image Classification (Q)
|
99% |
1005
187.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
534
8.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
374
6.06 IPS |
|
|
Image Segmentation (Q)
|
98% |
700
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
512
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
434
0.51 IPS |
|
|
Pose Estimation (Q)
|
98% |
1716
2.01 IPS |
|
|
Object Detection (SP)
|
100% |
257
20.4 IPS |
|
|
Object Detection (HP)
|
100% |
238
18.9 IPS |
|
|
Object Detection (Q)
|
87% |
626
50.2 IPS |
|
|
Face Detection (SP)
|
100% |
655
7.79 IPS |
|
|
Face Detection (HP)
|
100% |
687
8.16 IPS |
|
|
Face Detection (Q)
|
97% |
1429
17.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
548
4.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
514
3.96 IPS |
|
|
Depth Estimation (Q)
|
64% |
1006
9.13 IPS |
|
|
Style Transfer (SP)
|
100% |
1002
1.29 IPS |
|
|
Style Transfer (HP)
|
100% |
890
1.14 IPS |
|
|
Style Transfer (Q)
|
98% |
2312
2.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
281
10.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
281
10.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1017
37.7 IPS |
|
|
Text Classification (SP)
|
100% |
396
529.2 IPS |
|
|
Text Classification (HP)
|
100% |
398
530.9 IPS |
|
|
Text Classification (Q)
|
91% |
615
826.3 IPS |
|
|
Machine Translation (SP)
|
100% |
667
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
615
10.6 IPS |
|
|
Machine Translation (Q)
|
57% |
345
8.44 IPS |
