Samsung Galaxy S25 Ultra
Geekbench AI Score
547
Single Precision Score
529
Half Precision Score
1164
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 02 2026 12:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
434
80.7 IPS |
|
|
Image Classification (HP)
|
100% |
433
80.6 IPS |
|
|
Image Classification (Q)
|
99% |
1089
203.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
375
6.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
460
7.46 IPS |
|
|
Image Segmentation (Q)
|
98% |
1019
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
668
0.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
614
0.72 IPS |
|
|
Pose Estimation (Q)
|
98% |
2624
3.07 IPS |
|
|
Object Detection (SP)
|
100% |
370
29.4 IPS |
|
|
Object Detection (HP)
|
100% |
333
26.4 IPS |
|
|
Object Detection (Q)
|
87% |
878
70.5 IPS |
|
|
Face Detection (SP)
|
100% |
844
10.0 IPS |
|
|
Face Detection (HP)
|
100% |
854
10.1 IPS |
|
|
Face Detection (Q)
|
97% |
1957
23.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
754
5.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
655
5.05 IPS |
|
|
Depth Estimation (Q)
|
64% |
1399
12.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1164
1.50 IPS |
|
|
Style Transfer (HP)
|
100% |
1003
1.29 IPS |
|
|
Style Transfer (Q)
|
98% |
2656
3.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
283
10.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
283
10.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1016
37.7 IPS |
|
|
Text Classification (SP)
|
100% |
397
530.1 IPS |
|
|
Text Classification (HP)
|
100% |
398
531.1 IPS |
|
|
Text Classification (Q)
|
91% |
615
826.5 IPS |
|
|
Machine Translation (SP)
|
100% |
724
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
676
11.6 IPS |
|
|
Machine Translation (Q)
|
57% |
394
9.62 IPS |
