Samsung Galaxy S25 Ultra
Geekbench AI Score
2409
Single Precision Score
2466
Half Precision Score
4324
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 07 2026 08:42 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-S938U |
| 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% |
951
176.9 IPS |
|
|
Image Classification (HP)
|
100% |
1586
295.0 IPS |
|
|
Image Classification (Q)
|
100% |
3701
688.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2496
40.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2335
37.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5200
84.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5063
5.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
5188
6.05 IPS |
|
|
Pose Estimation (Q)
|
84% |
13618
16.2 IPS |
|
|
Object Detection (SP)
|
98% |
1579
125.7 IPS |
|
|
Object Detection (HP)
|
98% |
1329
105.8 IPS |
|
|
Object Detection (Q)
|
83% |
2740
221.4 IPS |
|
|
Face Detection (SP)
|
100% |
3461
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
3759
44.7 IPS |
|
|
Face Detection (Q)
|
95% |
7303
87.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4464
34.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4398
34.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
10290
94.3 IPS |
|
|
Style Transfer (SP)
|
89% |
11161
14.5 IPS |
|
|
Style Transfer (HP)
|
89% |
10549
13.7 IPS |
|
|
Style Transfer (Q)
|
98% |
23157
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2121
78.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1989
73.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4838
179.3 IPS |
|
|
Text Classification (SP)
|
100% |
801
1.07 KIPS |
|
|
Text Classification (HP)
|
99% |
777
1.04 KIPS |
|
|
Text Classification (Q)
|
88% |
687
926.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1184
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1210
20.8 IPS |
|
|
Machine Translation (Q)
|
50% |
551
19.6 IPS |
