Samsung Galaxy S25 Ultra
Geekbench AI Score
549
Single Precision Score
537
Half Precision Score
1148
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 16 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 16 |
| Model | Samsung Galaxy S25 Ultra |
| Model ID | samsung SM-S9380 |
| 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% |
398
74.1 IPS |
|
|
Image Classification (HP)
|
100% |
404
75.1 IPS |
|
|
Image Classification (Q)
|
99% |
1044
194.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
492
7.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
491
7.96 IPS |
|
|
Image Segmentation (Q)
|
98% |
937
15.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
628
0.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
542
0.63 IPS |
|
|
Pose Estimation (Q)
|
98% |
1955
2.29 IPS |
|
|
Object Detection (SP)
|
100% |
300
23.8 IPS |
|
|
Object Detection (HP)
|
100% |
287
22.7 IPS |
|
|
Object Detection (Q)
|
87% |
818
65.6 IPS |
|
|
Face Detection (SP)
|
100% |
792
9.41 IPS |
|
|
Face Detection (HP)
|
100% |
854
10.2 IPS |
|
|
Face Detection (Q)
|
97% |
1957
23.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
656
5.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
495
3.81 IPS |
|
|
Depth Estimation (Q)
|
64% |
1021
9.27 IPS |
|
|
Style Transfer (SP)
|
100% |
1003
1.29 IPS |
|
|
Style Transfer (HP)
|
100% |
1096
1.41 IPS |
|
|
Style Transfer (Q)
|
98% |
2895
3.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
338
12.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
364
13.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1287
47.7 IPS |
|
|
Text Classification (SP)
|
100% |
465
621.1 IPS |
|
|
Text Classification (HP)
|
100% |
466
621.8 IPS |
|
|
Text Classification (Q)
|
91% |
718
964.6 IPS |
|
|
Machine Translation (SP)
|
100% |
829
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
826
14.2 IPS |
|
|
Machine Translation (Q)
|
57% |
477
11.6 IPS |
