Samsung Galaxy S25 Ultra
Geekbench AI Score
2635
Single Precision Score
4188
Half Precision Score
3497
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | DanielStr |
| Upload Date | March 01 2026 08:14 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-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% |
1332
247.8 IPS |
|
|
Image Classification (HP)
|
100% |
1882
350.0 IPS |
|
|
Image Classification (Q)
|
100% |
1800
334.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3334
54.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6884
111.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5397
87.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13719
16.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
24638
28.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24629
28.9 IPS |
|
|
Object Detection (SP)
|
100% |
1470
116.6 IPS |
|
|
Object Detection (HP)
|
99% |
2020
160.2 IPS |
|
|
Object Detection (Q)
|
85% |
1882
151.5 IPS |
|
|
Face Detection (SP)
|
100% |
5255
62.4 IPS |
|
|
Face Detection (HP)
|
100% |
9292
110.4 IPS |
|
|
Face Detection (Q)
|
97% |
8428
100.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6641
51.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
9463
73.1 IPS |
|
|
Depth Estimation (Q)
|
61% |
7013
68.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16263
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35875
46.1 IPS |
|
|
Style Transfer (Q)
|
98% |
35621
45.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3461
127.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5561
205.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5302
196.5 IPS |
|
|
Text Classification (SP)
|
35% |
86
835.6 IPS |
|
|
Text Classification (HP)
|
35% |
84
765.2 IPS |
|
|
Text Classification (Q)
|
33% |
77
859.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1069
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1749
30.1 IPS |
|
|
Machine Translation (Q)
|
48% |
707
27.1 IPS |
