Samsung Galaxy S25 Ultra
Geekbench AI Score
2887
Single Precision Score
2870
Half Precision Score
5210
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 21 2025 08:36 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
2018
375.3 IPS |
|
|
Image Classification (HP)
|
100% |
2103
391.1 IPS |
|
|
Image Classification (Q)
|
100% |
4619
858.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2506
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2485
40.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5467
88.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5715
6.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
5602
6.54 IPS |
|
|
Pose Estimation (Q)
|
84% |
13888
16.5 IPS |
|
|
Object Detection (SP)
|
98% |
1755
139.7 IPS |
|
|
Object Detection (HP)
|
98% |
1765
140.4 IPS |
|
|
Object Detection (Q)
|
83% |
4146
334.9 IPS |
|
|
Face Detection (SP)
|
100% |
4496
53.4 IPS |
|
|
Face Detection (HP)
|
100% |
4403
52.3 IPS |
|
|
Face Detection (Q)
|
95% |
10130
120.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4703
36.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4407
34.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
10862
99.5 IPS |
|
|
Style Transfer (SP)
|
89% |
11593
15.0 IPS |
|
|
Style Transfer (HP)
|
89% |
11720
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
24819
32.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2468
91.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2466
91.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6582
243.9 IPS |
|
|
Text Classification (SP)
|
100% |
957
1.28 KIPS |
|
|
Text Classification (HP)
|
99% |
965
1.29 KIPS |
|
|
Text Classification (Q)
|
88% |
991
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1370
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1358
23.4 IPS |
|
|
Machine Translation (Q)
|
50% |
569
20.2 IPS |
