Samsung Galaxy S25 Ultra
Geekbench AI Score
2966
Single Precision Score
2937
Half Precision Score
5325
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 25 2025 06:30 PM |
| Views | 2 |
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% |
2154
400.6 IPS |
|
|
Image Classification (HP)
|
100% |
1994
370.8 IPS |
|
|
Image Classification (Q)
|
100% |
4209
782.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2476
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2449
39.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5560
90.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5845
6.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
5724
6.68 IPS |
|
|
Pose Estimation (Q)
|
84% |
13865
16.4 IPS |
|
|
Object Detection (SP)
|
98% |
1811
144.1 IPS |
|
|
Object Detection (HP)
|
98% |
1813
144.3 IPS |
|
|
Object Detection (Q)
|
83% |
4261
344.2 IPS |
|
|
Face Detection (SP)
|
100% |
4547
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
4558
54.2 IPS |
|
|
Face Detection (Q)
|
95% |
10514
125.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
4902
37.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4865
37.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
10944
100.2 IPS |
|
|
Style Transfer (SP)
|
89% |
12147
15.8 IPS |
|
|
Style Transfer (HP)
|
89% |
11864
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
26113
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2467
91.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2493
92.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6799
251.9 IPS |
|
|
Text Classification (SP)
|
100% |
988
1.32 KIPS |
|
|
Text Classification (HP)
|
99% |
1042
1.39 KIPS |
|
|
Text Classification (Q)
|
88% |
1117
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1417
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1383
23.8 IPS |
|
|
Machine Translation (Q)
|
50% |
582
20.7 IPS |
