Samsung Galaxy S25 Ultra
Geekbench AI Score
2899
Single Precision Score
2906
Half Precision Score
5292
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 22 2025 06:44 AM |
| 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% |
1991
370.2 IPS |
|
|
Image Classification (HP)
|
100% |
2033
378.0 IPS |
|
|
Image Classification (Q)
|
100% |
4598
855.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2488
40.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2430
39.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5475
89.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5666
6.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
5653
6.60 IPS |
|
|
Pose Estimation (Q)
|
84% |
13618
16.2 IPS |
|
|
Object Detection (SP)
|
98% |
1768
140.7 IPS |
|
|
Object Detection (HP)
|
98% |
1757
139.8 IPS |
|
|
Object Detection (Q)
|
83% |
4117
332.5 IPS |
|
|
Face Detection (SP)
|
100% |
4464
53.0 IPS |
|
|
Face Detection (HP)
|
100% |
4527
53.8 IPS |
|
|
Face Detection (Q)
|
95% |
10193
121.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
4849
37.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4798
37.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
10911
99.9 IPS |
|
|
Style Transfer (SP)
|
89% |
11773
15.3 IPS |
|
|
Style Transfer (HP)
|
89% |
11848
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
25249
32.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2384
88.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2496
92.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6898
255.6 IPS |
|
|
Text Classification (SP)
|
100% |
1005
1.34 KIPS |
|
|
Text Classification (HP)
|
99% |
1005
1.34 KIPS |
|
|
Text Classification (Q)
|
88% |
1086
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1384
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1356
23.4 IPS |
|
|
Machine Translation (Q)
|
50% |
581
20.6 IPS |
