Samsung Galaxy S25 Ultra
Geekbench AI Score
2677
Single Precision Score
2571
Half Precision Score
4601
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | konainm |
| Upload Date | January 23 2026 05:34 AM |
| Views | 8 |
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% |
1917
356.6 IPS |
|
|
Image Classification (HP)
|
100% |
2002
372.4 IPS |
|
|
Image Classification (Q)
|
100% |
4438
825.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2436
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1818
29.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5014
81.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5544
6.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
5420
6.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
13393
15.9 IPS |
|
|
Object Detection (SP)
|
98% |
1614
128.4 IPS |
|
|
Object Detection (HP)
|
98% |
1579
125.6 IPS |
|
|
Object Detection (Q)
|
83% |
3753
303.2 IPS |
|
|
Face Detection (SP)
|
100% |
3909
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
3989
47.4 IPS |
|
|
Face Detection (Q)
|
95% |
7630
91.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
4167
32.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4415
34.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
8925
81.7 IPS |
|
|
Style Transfer (SP)
|
89% |
11426
14.8 IPS |
|
|
Style Transfer (HP)
|
89% |
11413
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
25675
33.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2304
85.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2233
82.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5134
190.2 IPS |
|
|
Text Classification (SP)
|
100% |
773
1.03 KIPS |
|
|
Text Classification (HP)
|
99% |
654
872.8 IPS |
|
|
Text Classification (Q)
|
88% |
764
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1365
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1385
23.9 IPS |
|
|
Machine Translation (Q)
|
50% |
555
19.7 IPS |
