Samsung Galaxy S25 Ultra
Geekbench AI Score
2788
Single Precision Score
2745
Half Precision Score
5100
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 17 2026 05:53 PM |
| 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-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% |
1868
347.3 IPS |
|
|
Image Classification (HP)
|
100% |
1793
333.5 IPS |
|
|
Image Classification (Q)
|
100% |
4340
807.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2392
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2432
39.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5212
84.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5337
6.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
5040
5.88 IPS |
|
|
Pose Estimation (Q)
|
84% |
12727
15.1 IPS |
|
|
Object Detection (SP)
|
98% |
1656
131.8 IPS |
|
|
Object Detection (HP)
|
98% |
1721
137.0 IPS |
|
|
Object Detection (Q)
|
83% |
3957
319.6 IPS |
|
|
Face Detection (SP)
|
100% |
4282
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
4057
48.2 IPS |
|
|
Face Detection (Q)
|
95% |
9728
116.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
4680
36.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4618
35.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
10573
96.8 IPS |
|
|
Style Transfer (SP)
|
89% |
11346
14.7 IPS |
|
|
Style Transfer (HP)
|
89% |
11312
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
24494
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2380
87.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2316
85.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6744
249.9 IPS |
|
|
Text Classification (SP)
|
100% |
980
1.31 KIPS |
|
|
Text Classification (HP)
|
99% |
976
1.30 KIPS |
|
|
Text Classification (Q)
|
88% |
1118
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1358
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1342
23.1 IPS |
|
|
Machine Translation (Q)
|
50% |
551
19.6 IPS |
