Samsung Galaxy S25 Ultra
Geekbench AI Score
609
Single Precision Score
609
Half Precision Score
1307
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | rennsport |
| Upload Date | October 20 2025 12:05 PM |
| Views | 11 |
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% |
415
77.2 IPS |
|
|
Image Classification (HP)
|
100% |
415
77.2 IPS |
|
|
Image Classification (Q)
|
99% |
1063
198.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
462
7.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
491
7.96 IPS |
|
|
Image Segmentation (Q)
|
98% |
938
15.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
651
0.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
594
0.69 IPS |
|
|
Pose Estimation (Q)
|
98% |
2337
2.74 IPS |
|
|
Object Detection (SP)
|
100% |
355
28.1 IPS |
|
|
Object Detection (HP)
|
100% |
356
28.2 IPS |
|
|
Object Detection (Q)
|
87% |
947
76.0 IPS |
|
|
Face Detection (SP)
|
100% |
853
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
854
10.2 IPS |
|
|
Face Detection (Q)
|
97% |
1965
23.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
754
5.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
758
5.84 IPS |
|
|
Depth Estimation (Q)
|
64% |
1698
15.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1347
1.73 IPS |
|
|
Style Transfer (HP)
|
100% |
1176
1.51 IPS |
|
|
Style Transfer (Q)
|
98% |
2943
3.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
363
13.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
428
15.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1496
55.5 IPS |
|
|
Text Classification (SP)
|
100% |
539
719.2 IPS |
|
|
Text Classification (HP)
|
100% |
539
719.7 IPS |
|
|
Text Classification (Q)
|
91% |
828
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
935
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
937
16.1 IPS |
|
|
Machine Translation (Q)
|
57% |
542
13.2 IPS |
