Samsung Galaxy S25 Ultra
Geekbench AI Score
2227
Single Precision Score
2175
Half Precision Score
3795
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 14 2025 09:02 AM |
| Views | 7 |
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% |
1913
355.8 IPS |
|
|
Image Classification (HP)
|
100% |
1907
354.7 IPS |
|
|
Image Classification (Q)
|
100% |
4218
784.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2344
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2344
38.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5078
82.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5123
5.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
4698
5.48 IPS |
|
|
Pose Estimation (Q)
|
84% |
11288
13.4 IPS |
|
|
Object Detection (SP)
|
98% |
1073
85.4 IPS |
|
|
Object Detection (HP)
|
98% |
969
77.1 IPS |
|
|
Object Detection (Q)
|
83% |
2097
169.4 IPS |
|
|
Face Detection (SP)
|
100% |
2927
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
3196
38.0 IPS |
|
|
Face Detection (Q)
|
95% |
5953
71.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3411
26.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3830
29.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
8145
74.6 IPS |
|
|
Style Transfer (SP)
|
89% |
10453
13.6 IPS |
|
|
Style Transfer (HP)
|
89% |
10155
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
19917
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1678
62.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1702
62.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3459
128.2 IPS |
|
|
Text Classification (SP)
|
100% |
504
673.2 IPS |
|
|
Text Classification (HP)
|
99% |
407
543.2 IPS |
|
|
Text Classification (Q)
|
88% |
723
974.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1382
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1358
23.4 IPS |
|
|
Machine Translation (Q)
|
50% |
507
18.0 IPS |
