Samsung Galaxy S25 Ultra
Geekbench AI Score
513
Single Precision Score
843
Half Precision Score
707
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 14 2025 06:47 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S25 Ultra |
| Model ID | samsung SM-S938U |
| 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% |
316
58.9 IPS |
|
|
Image Classification (HP)
|
100% |
531
98.7 IPS |
|
|
Image Classification (Q)
|
100% |
501
93.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
662
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1174
19.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1130
18.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2143
2.50 IPS |
|
|
Pose Estimation (HP)
|
99% |
3838
4.48 IPS |
|
|
Pose Estimation (Q)
|
95% |
3795
4.45 IPS |
|
|
Object Detection (SP)
|
100% |
300
23.8 IPS |
|
|
Object Detection (HP)
|
99% |
435
34.5 IPS |
|
|
Object Detection (Q)
|
85% |
412
33.1 IPS |
|
|
Face Detection (SP)
|
100% |
1278
15.2 IPS |
|
|
Face Detection (HP)
|
100% |
2228
26.5 IPS |
|
|
Face Detection (Q)
|
97% |
2021
24.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1089
8.39 IPS |
|
|
Depth Estimation (HP)
|
98% |
1678
13.0 IPS |
|
|
Depth Estimation (Q)
|
61% |
1314
12.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2754
3.54 IPS |
|
|
Style Transfer (HP)
|
100% |
6040
7.76 IPS |
|
|
Style Transfer (Q)
|
98% |
6000
7.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
632
23.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1135
41.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1114
41.3 IPS |
|
|
Text Classification (SP)
|
35% |
17
162.4 IPS |
|
|
Text Classification (HP)
|
35% |
18
165.9 IPS |
|
|
Text Classification (Q)
|
33% |
14
161.3 IPS |
|
|
Machine Translation (SP)
|
100% |
232
4.00 IPS |
|
|
Machine Translation (HP)
|
100% |
380
6.54 IPS |
|
|
Machine Translation (Q)
|
48% |
143
5.50 IPS |
