Samsung Galaxy S25 Ultra
Geekbench AI Score
2575
Single Precision Score
4113
Half Precision Score
3454
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | smart1978 |
| Upload Date | November 25 2025 04:50 PM |
| Views | 3 |
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% |
1965
365.4 IPS |
|
|
Image Classification (HP)
|
100% |
2872
534.1 IPS |
|
|
Image Classification (Q)
|
100% |
3059
568.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3433
55.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5614
91.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5515
89.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13596
15.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
24580
28.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
20405
23.9 IPS |
|
|
Object Detection (SP)
|
100% |
1352
107.2 IPS |
|
|
Object Detection (HP)
|
99% |
1869
148.2 IPS |
|
|
Object Detection (Q)
|
85% |
1624
130.7 IPS |
|
|
Face Detection (SP)
|
100% |
4640
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
8538
101.5 IPS |
|
|
Face Detection (Q)
|
97% |
7713
92.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5502
42.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
7784
60.2 IPS |
|
|
Depth Estimation (Q)
|
61% |
6852
66.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15566
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33838
43.5 IPS |
|
|
Style Transfer (Q)
|
98% |
31792
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3147
116.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5100
188.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5060
187.5 IPS |
|
|
Text Classification (SP)
|
35% |
79
766.3 IPS |
|
|
Text Classification (HP)
|
35% |
85
770.0 IPS |
|
|
Text Classification (Q)
|
33% |
67
748.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1049
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1922
33.1 IPS |
|
|
Machine Translation (Q)
|
48% |
759
29.1 IPS |
