Samsung Galaxy S25 Ultra
Geekbench AI Score
2471
Single Precision Score
3855
Half Precision Score
3276
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 05 2026 06:53 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1666
309.9 IPS |
|
|
Image Classification (HP)
|
100% |
2668
496.1 IPS |
|
|
Image Classification (Q)
|
100% |
2857
531.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3006
48.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5090
82.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5429
88.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13513
15.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
24262
28.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
21560
25.3 IPS |
|
|
Object Detection (SP)
|
100% |
1329
105.4 IPS |
|
|
Object Detection (HP)
|
99% |
1826
144.8 IPS |
|
|
Object Detection (Q)
|
85% |
1680
135.3 IPS |
|
|
Face Detection (SP)
|
100% |
4742
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
8282
98.4 IPS |
|
|
Face Detection (Q)
|
97% |
7798
93.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5979
46.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
8283
64.0 IPS |
|
|
Depth Estimation (Q)
|
61% |
6463
63.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14920
19.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34019
43.7 IPS |
|
|
Style Transfer (Q)
|
98% |
32255
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3197
118.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5072
187.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4808
178.2 IPS |
|
|
Text Classification (SP)
|
35% |
76
737.4 IPS |
|
|
Text Classification (HP)
|
35% |
76
688.9 IPS |
|
|
Text Classification (Q)
|
33% |
63
703.9 IPS |
|
|
Machine Translation (SP)
|
100% |
920
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1341
23.1 IPS |
|
|
Machine Translation (Q)
|
48% |
515
19.8 IPS |
