Samsung Galaxy S25 Ultra
Geekbench AI Score
463
Single Precision Score
442
Half Precision Score
946
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 15 2025 02:06 PM |
| Views | 1 |
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% |
372
69.2 IPS |
|
|
Image Classification (HP)
|
100% |
377
70.2 IPS |
|
|
Image Classification (Q)
|
99% |
924
172.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
492
7.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
493
8.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
958
15.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
687
0.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
474
0.55 IPS |
|
|
Pose Estimation (Q)
|
98% |
1846
2.16 IPS |
|
|
Object Detection (SP)
|
100% |
261
20.7 IPS |
|
|
Object Detection (HP)
|
100% |
263
20.8 IPS |
|
|
Object Detection (Q)
|
87% |
634
50.9 IPS |
|
|
Face Detection (SP)
|
100% |
641
7.61 IPS |
|
|
Face Detection (HP)
|
100% |
642
7.63 IPS |
|
|
Face Detection (Q)
|
97% |
1418
16.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
564
4.35 IPS |
|
|
Depth Estimation (HP)
|
99% |
498
3.83 IPS |
|
|
Depth Estimation (Q)
|
64% |
1054
9.56 IPS |
|
|
Style Transfer (SP)
|
100% |
902
1.16 IPS |
|
|
Style Transfer (HP)
|
100% |
903
1.16 IPS |
|
|
Style Transfer (Q)
|
98% |
2317
2.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
246
9.07 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
243
8.98 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
880
32.6 IPS |
|
|
Text Classification (SP)
|
100% |
320
426.9 IPS |
|
|
Text Classification (HP)
|
100% |
321
427.8 IPS |
|
|
Text Classification (Q)
|
91% |
494
663.8 IPS |
|
|
Machine Translation (SP)
|
100% |
546
9.40 IPS |
|
|
Machine Translation (HP)
|
100% |
555
9.57 IPS |
|
|
Machine Translation (Q)
|
57% |
371
9.07 IPS |
