Samsung Galaxy S25 Ultra
Geekbench AI Score
2856
Single Precision Score
2858
Half Precision Score
5197
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 22 2025 07:41 PM |
| 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% |
1950
362.7 IPS |
|
|
Image Classification (HP)
|
100% |
1934
359.7 IPS |
|
|
Image Classification (Q)
|
100% |
4450
827.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2479
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2459
39.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5351
87.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5611
6.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
5537
6.46 IPS |
|
|
Pose Estimation (Q)
|
84% |
13883
16.5 IPS |
|
|
Object Detection (SP)
|
98% |
1739
138.4 IPS |
|
|
Object Detection (HP)
|
98% |
1735
138.0 IPS |
|
|
Object Detection (Q)
|
83% |
4017
324.5 IPS |
|
|
Face Detection (SP)
|
100% |
4342
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
4416
52.5 IPS |
|
|
Face Detection (Q)
|
95% |
9675
115.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
4649
35.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4655
36.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
10723
98.2 IPS |
|
|
Style Transfer (SP)
|
89% |
11725
15.2 IPS |
|
|
Style Transfer (HP)
|
89% |
11750
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
25357
32.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2383
88.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2489
91.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6756
250.3 IPS |
|
|
Text Classification (SP)
|
100% |
1003
1.34 KIPS |
|
|
Text Classification (HP)
|
99% |
982
1.31 KIPS |
|
|
Text Classification (Q)
|
88% |
1084
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1354
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1352
23.3 IPS |
|
|
Machine Translation (Q)
|
50% |
562
20.0 IPS |
