Samsung Galaxy S25 Ultra
Geekbench AI Score
2873
Single Precision Score
2861
Half Precision Score
5219
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 23 2026 05:34 PM |
| Views | 3 |
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% |
1944
361.6 IPS |
|
|
Image Classification (HP)
|
100% |
1959
364.3 IPS |
|
|
Image Classification (Q)
|
100% |
4409
820.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2462
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2415
39.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5497
89.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5638
6.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
5522
6.44 IPS |
|
|
Pose Estimation (Q)
|
84% |
13957
16.6 IPS |
|
|
Object Detection (SP)
|
98% |
1789
142.4 IPS |
|
|
Object Detection (HP)
|
98% |
1752
139.4 IPS |
|
|
Object Detection (Q)
|
83% |
4092
330.6 IPS |
|
|
Face Detection (SP)
|
100% |
4360
51.8 IPS |
|
|
Face Detection (HP)
|
100% |
4285
50.9 IPS |
|
|
Face Detection (Q)
|
95% |
9784
116.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
4779
36.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4748
36.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
11022
101.0 IPS |
|
|
Style Transfer (SP)
|
89% |
11946
15.5 IPS |
|
|
Style Transfer (HP)
|
89% |
11961
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
25284
32.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2418
89.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2462
90.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6723
249.1 IPS |
|
|
Text Classification (SP)
|
100% |
996
1.33 KIPS |
|
|
Text Classification (HP)
|
99% |
1018
1.36 KIPS |
|
|
Text Classification (Q)
|
88% |
1078
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1327
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1318
22.7 IPS |
|
|
Machine Translation (Q)
|
50% |
549
19.5 IPS |
