Samsung Galaxy S25 Ultra
Geekbench AI Score
2737
Single Precision Score
2642
Half Precision Score
4619
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 09 2025 01:47 AM |
| Views | 5 |
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-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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2166
402.8 IPS |
|
|
Image Classification (HP)
|
100% |
1989
369.9 IPS |
|
|
Image Classification (Q)
|
100% |
3777
702.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2536
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2494
40.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5311
86.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5410
6.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
5243
6.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
12511
14.8 IPS |
|
|
Object Detection (SP)
|
98% |
1702
135.5 IPS |
|
|
Object Detection (HP)
|
98% |
1670
132.9 IPS |
|
|
Object Detection (Q)
|
83% |
3844
310.5 IPS |
|
|
Face Detection (SP)
|
100% |
4302
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
4453
52.9 IPS |
|
|
Face Detection (Q)
|
95% |
10095
120.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
4499
34.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4509
34.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
10211
93.5 IPS |
|
|
Style Transfer (SP)
|
89% |
11013
14.3 IPS |
|
|
Style Transfer (HP)
|
89% |
11233
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
25161
32.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2234
82.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2199
81.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5068
187.8 IPS |
|
|
Text Classification (SP)
|
100% |
733
977.8 IPS |
|
|
Text Classification (HP)
|
99% |
567
757.3 IPS |
|
|
Text Classification (Q)
|
88% |
644
869.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1339
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1359
23.4 IPS |
|
|
Machine Translation (Q)
|
50% |
542
19.2 IPS |
