Samsung Galaxy S25 Ultra
Geekbench AI Score
2930
Single Precision Score
2927
Half Precision Score
5310
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 27 2025 05:57 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% |
2068
384.6 IPS |
|
|
Image Classification (HP)
|
100% |
2094
389.4 IPS |
|
|
Image Classification (Q)
|
100% |
4722
878.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2479
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2531
41.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5482
89.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5818
6.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
5643
6.58 IPS |
|
|
Pose Estimation (Q)
|
84% |
13917
16.5 IPS |
|
|
Object Detection (SP)
|
98% |
1809
144.0 IPS |
|
|
Object Detection (HP)
|
98% |
1782
141.8 IPS |
|
|
Object Detection (Q)
|
83% |
4177
337.4 IPS |
|
|
Face Detection (SP)
|
100% |
4515
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
4536
53.9 IPS |
|
|
Face Detection (Q)
|
95% |
10029
119.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
4714
36.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4777
36.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
10872
99.6 IPS |
|
|
Style Transfer (SP)
|
89% |
12041
15.6 IPS |
|
|
Style Transfer (HP)
|
89% |
11658
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
25733
33.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2439
90.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2462
90.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6662
246.9 IPS |
|
|
Text Classification (SP)
|
100% |
983
1.31 KIPS |
|
|
Text Classification (HP)
|
99% |
999
1.33 KIPS |
|
|
Text Classification (Q)
|
88% |
1081
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1407
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1395
24.0 IPS |
|
|
Machine Translation (Q)
|
50% |
587
20.8 IPS |
