Samsung Galaxy S25 Ultra
Geekbench AI Score
2534
Single Precision Score
3951
Half Precision Score
3228
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | gsidedgdb |
| Upload Date | July 10 2025 09:31 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S25 Ultra |
| Model ID | samsung SM-S938U |
| 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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1560
290.1 IPS |
|
|
Image Classification (HP)
|
100% |
2449
455.4 IPS |
|
|
Image Classification (Q)
|
100% |
2864
532.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3122
50.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5491
89.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5566
90.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13835
16.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
24736
28.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
21132
24.8 IPS |
|
|
Object Detection (SP)
|
100% |
1335
105.9 IPS |
|
|
Object Detection (HP)
|
99% |
1774
140.7 IPS |
|
|
Object Detection (Q)
|
85% |
1471
118.4 IPS |
|
|
Face Detection (SP)
|
100% |
4275
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
7682
91.3 IPS |
|
|
Face Detection (Q)
|
97% |
7314
87.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7068
54.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
9606
74.2 IPS |
|
|
Depth Estimation (Q)
|
61% |
7450
72.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17309
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38443
49.4 IPS |
|
|
Style Transfer (Q)
|
98% |
37624
48.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2579
95.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4117
152.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4019
149.0 IPS |
|
|
Text Classification (SP)
|
35% |
86
839.0 IPS |
|
|
Text Classification (HP)
|
35% |
82
749.4 IPS |
|
|
Text Classification (Q)
|
33% |
65
729.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1047
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1642
28.3 IPS |
|
|
Machine Translation (Q)
|
48% |
464
17.8 IPS |
