Samsung Galaxy S25 Ultra
Geekbench AI Score
645
Single Precision Score
625
Half Precision Score
1377
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 22 2025 04:10 PM |
| Views | 8 |
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-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% |
418
77.7 IPS |
|
|
Image Classification (HP)
|
100% |
419
77.9 IPS |
|
|
Image Classification (Q)
|
99% |
1055
196.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
531
8.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
491
7.96 IPS |
|
|
Image Segmentation (Q)
|
98% |
938
15.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
707
0.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
647
0.76 IPS |
|
|
Pose Estimation (Q)
|
98% |
2472
2.89 IPS |
|
|
Object Detection (SP)
|
100% |
354
28.1 IPS |
|
|
Object Detection (HP)
|
100% |
354
28.1 IPS |
|
|
Object Detection (Q)
|
87% |
998
80.0 IPS |
|
|
Face Detection (SP)
|
100% |
954
11.3 IPS |
|
|
Face Detection (HP)
|
100% |
954
11.3 IPS |
|
|
Face Detection (Q)
|
97% |
2226
26.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
794
6.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
756
5.82 IPS |
|
|
Depth Estimation (Q)
|
64% |
1690
15.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1395
1.79 IPS |
|
|
Style Transfer (HP)
|
100% |
1336
1.72 IPS |
|
|
Style Transfer (Q)
|
98% |
3834
4.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
425
15.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
399
14.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1461
54.1 IPS |
|
|
Text Classification (SP)
|
100% |
538
718.7 IPS |
|
|
Text Classification (HP)
|
100% |
539
718.9 IPS |
|
|
Text Classification (Q)
|
91% |
829
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
929
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
939
16.2 IPS |
|
|
Machine Translation (Q)
|
57% |
575
14.1 IPS |
