Samsung Galaxy S25 Ultra
Geekbench AI Score
2929
Single Precision Score
2922
Half Precision Score
5294
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 27 2025 04:17 AM |
| Views | 6 |
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-S938U1 |
| 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% |
2148
399.5 IPS |
|
|
Image Classification (HP)
|
100% |
2129
395.9 IPS |
|
|
Image Classification (Q)
|
100% |
4726
878.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2517
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2453
39.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5374
87.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5737
6.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
5638
6.58 IPS |
|
|
Pose Estimation (Q)
|
84% |
13731
16.3 IPS |
|
|
Object Detection (SP)
|
98% |
1749
139.2 IPS |
|
|
Object Detection (HP)
|
98% |
1773
141.1 IPS |
|
|
Object Detection (Q)
|
83% |
4175
337.3 IPS |
|
|
Face Detection (SP)
|
100% |
4493
53.4 IPS |
|
|
Face Detection (HP)
|
100% |
4514
53.6 IPS |
|
|
Face Detection (Q)
|
95% |
9856
117.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
4735
36.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4715
36.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
10925
100.1 IPS |
|
|
Style Transfer (SP)
|
89% |
11872
15.4 IPS |
|
|
Style Transfer (HP)
|
89% |
11835
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
25592
33.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2486
91.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2520
93.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6780
251.2 IPS |
|
|
Text Classification (SP)
|
100% |
993
1.33 KIPS |
|
|
Text Classification (HP)
|
99% |
979
1.31 KIPS |
|
|
Text Classification (Q)
|
88% |
1097
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1376
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1400
24.1 IPS |
|
|
Machine Translation (Q)
|
50% |
580
20.6 IPS |
