Samsung Galaxy S25 Ultra
Geekbench AI Score
2787
Single Precision Score
4304
Half Precision Score
3582
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 03:13 AM |
| 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-S938N |
| 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% |
1579
293.6 IPS |
|
|
Image Classification (HP)
|
100% |
2306
428.8 IPS |
|
|
Image Classification (Q)
|
100% |
2309
429.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3629
58.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6510
105.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5265
85.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13699
16.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
24540
28.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
24337
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
1562
123.9 IPS |
|
|
Object Detection (HP)
|
99% |
2001
158.7 IPS |
|
|
Object Detection (Q)
|
85% |
1942
156.3 IPS |
|
|
Face Detection (SP)
|
100% |
5464
64.9 IPS |
|
|
Face Detection (HP)
|
100% |
9631
114.4 IPS |
|
|
Face Detection (Q)
|
97% |
8531
101.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7086
54.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
9661
74.7 IPS |
|
|
Depth Estimation (Q)
|
61% |
7487
72.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16956
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37964
48.8 IPS |
|
|
Style Transfer (Q)
|
98% |
37731
48.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3730
137.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5764
212.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5744
212.9 IPS |
|
|
Text Classification (SP)
|
35% |
93
910.2 IPS |
|
|
Text Classification (HP)
|
35% |
91
825.8 IPS |
|
|
Text Classification (Q)
|
33% |
69
769.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1015
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1600
27.6 IPS |
|
|
Machine Translation (Q)
|
48% |
634
24.3 IPS |
