Samsung Galaxy S25 Ultra
Geekbench AI Score
2943
Single Precision Score
2933
Half Precision Score
5065
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 13 2025 07:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1930
359.0 IPS |
|
|
Image Classification (HP)
|
100% |
1982
368.6 IPS |
|
|
Image Classification (Q)
|
100% |
2572
478.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2619
42.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2538
41.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5528
89.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5841
6.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
5656
6.60 IPS |
|
|
Pose Estimation (Q)
|
84% |
14238
16.9 IPS |
|
|
Object Detection (SP)
|
98% |
1754
139.5 IPS |
|
|
Object Detection (HP)
|
98% |
1828
145.4 IPS |
|
|
Object Detection (Q)
|
83% |
4239
342.5 IPS |
|
|
Face Detection (SP)
|
100% |
4626
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
4588
54.5 IPS |
|
|
Face Detection (Q)
|
95% |
10173
121.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
4740
36.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4758
36.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
10996
100.7 IPS |
|
|
Style Transfer (SP)
|
89% |
12155
15.8 IPS |
|
|
Style Transfer (HP)
|
89% |
11869
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
26099
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2524
93.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2530
93.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
7099
263.1 IPS |
|
|
Text Classification (SP)
|
100% |
994
1.33 KIPS |
|
|
Text Classification (HP)
|
99% |
999
1.33 KIPS |
|
|
Text Classification (Q)
|
88% |
1070
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1411
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1384
23.8 IPS |
|
|
Machine Translation (Q)
|
50% |
584
20.7 IPS |
