Samsung Galaxy S25 Ultra
Geekbench AI Score
1978
Single Precision Score
2952
Half Precision Score
2589
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 08 2025 01:24 PM |
| Views | 4 |
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-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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1749
325.3 IPS |
|
|
Image Classification (HP)
|
100% |
2267
421.5 IPS |
|
|
Image Classification (Q)
|
100% |
3182
591.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3402
55.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6790
110.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4912
79.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13862
16.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
24865
29.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
24386
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (HP)
|
99% |
1887
149.7 IPS |
|
|
Object Detection (Q)
|
85% |
1937
155.9 IPS |
|
|
Face Detection (SP)
|
100% |
4716
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
7861
93.4 IPS |
|
|
Face Detection (Q)
|
97% |
7650
91.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5232
40.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
4368
33.8 IPS |
|
|
Depth Estimation (Q)
|
61% |
3655
35.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8379
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
17131
22.0 IPS |
|
|
Style Transfer (Q)
|
98% |
16772
21.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1775
65.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2749
101.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2860
106.0 IPS |
|
|
Text Classification (SP)
|
35% |
37
358.1 IPS |
|
|
Text Classification (HP)
|
35% |
39
353.3 IPS |
|
|
Text Classification (Q)
|
33% |
31
348.3 IPS |
|
|
Machine Translation (SP)
|
100% |
525
9.04 IPS |
|
|
Machine Translation (HP)
|
100% |
1106
19.0 IPS |
|
|
Machine Translation (Q)
|
48% |
441
16.9 IPS |
